Omang Ombolo Messono | Economics | Best Researcher Award

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Dr. Omang Ombolo Messono | Economics | Best Researcher Award

Lecturer at University of Douala, Cameroon

Dr. Omang Ombolo Messono is a seasoned economist and senior lecturer at the University of Douala, Cameroon, known for his research on economic vulnerability, institutional governance, gender equality, and digital transformation. His scholarly work uniquely combines cliometric methods with applied macroeconometrics to analyze long-term development outcomes across countries, particularly within African contexts. With a strong publication record in peer-reviewed journals such as Technological Forecasting and Social Change and Climatic Change, he has made significant contributions to understanding how historical legacies and digital innovations shape socio-economic resilience. His research on the interplay between public service digitalization and women’s empowerment highlights his commitment to inclusive growth and sustainable policy reform. Dr. Messono is also actively involved in global collaborations and academic supervision, promoting interdisciplinary knowledge exchange. His dynamic blend of empirical expertise, policy relevance, and cross-cultural academic engagement makes him a respected voice in both scholarly and policy-making communities.

Professional Profile 

Google Scholar | ORCID Profile

Education

Dr. Omang Ombolo Messono holds a Doctorate (Ph.D.) in Economics, where his academic training focused on macroeconometrics, public policy analysis, and historical economic development. His doctoral research emphasized the long-term effects of institutional legacies and technological change on development outcomes, equipping him with a strong analytical foundation in cliometric techniques and econometric modeling. He has complemented his doctoral education with postdoctoral training and international academic exposure, allowing him to explore cross-disciplinary approaches that blend economics, governance, and innovation. Throughout his academic journey, Dr. Messono has developed deep theoretical and practical knowledge in key areas such as economic vulnerability, climate policy, gender inclusion, and structural reforms. His education has not only enriched his research capabilities but also prepared him to mentor students, lead academic programs, and participate in international scholarly dialogues. His commitment to education is evident in both his academic credentials and his active involvement in knowledge dissemination and student supervision.

Professional Experience

Dr. Messono currently serves as a senior lecturer and researcher at the Faculty of Economics and Applied Management, University of Douala, Cameroon. In this role, he is responsible for teaching undergraduate and graduate courses, supervising theses, and conducting policy-oriented research. Over the years, he has led and contributed to multiple research projects centered on macroeconomic stability, public sector reform, and institutional development in sub-Saharan Africa. His expertise is frequently sought in interdisciplinary studies, where he collaborates with national and international institutions, including AGDI and universities in Romania, Belgium, and Cameroon. In addition to academic duties, Dr. Messono has also engaged in consultancy projects and policy dialogues that address regional economic challenges. His hands-on experience in both research and education positions him as a key contributor to development discourse in Central Africa. His dedication to professional growth is reflected in his ability to merge academic excellence with real-world policy applications.

Research Interest

Dr. Omang Ombolo Messono’s research interests span across economic vulnerability, institutional governance, cliometric analysis, gender inclusion, and technological innovation in development policy. He is particularly focused on the historical and institutional factors that shape economic outcomes in developing countries, including the legacy of colonization, disease exposure, and technological diffusion. His work often investigates the intersection of digital transformation and public sector development, with a strong emphasis on how gender equality and digital inclusion can enhance tax mobilization and economic resilience. Additionally, Dr. Messono is deeply interested in climate policy, central banking, and monetary governance in the CEMAC region. His research also extends to exploring the nonlinear impacts of innovation on structural transformation and long-term growth. These interests reflect his commitment to using evidence-based insights to support inclusive and sustainable development, particularly within African contexts. His interdisciplinary approach enables him to contribute to diverse areas within economics, development studies, and policy analysis.

Award and Honor

While Dr. Omang Ombolo Messono has not listed specific awards, his academic contributions and impact are reflected through his high-level publications, global collaborations, and leadership roles in African research institutions. His article published in Technological Forecasting and Social Change stands as a testament to the quality and relevance of his research, addressing critical topics such as digital governance and gender empowerment. His collaborative work with renowned scholars from Romania, Belgium, and Cameroon further highlights his academic recognition and influence. His selection as an affiliate member of the African Studies Centre Leiden also acknowledges his scholarly contribution to African economic development and governance. These distinctions, combined with his growing citation index and policy influence, underline the value and impact of his work in both academic and real-world contexts. As his career continues to evolve, he is well-positioned for future honors and awards recognizing excellence in interdisciplinary and policy-relevant economic research.

Research Skill

Dr. Messono possesses a comprehensive skill set in quantitative research, with a strong command of macro econometrics, policy impact assessment, and cliometric analysis. He is proficient in using advanced statistical tools such as Generalized Method of Moments (GMM), fixed effects models, Lewbel 2SLS, and mediation analysis for robust empirical research. These skills enable him to handle complex datasets spanning multiple countries and years, particularly in the context of development economics, digital governance, and gender analysis. He is also adept at conducting historical economic studies, drawing on large-scale panel data to examine long-term structural trends. His interdisciplinary approach allows him to apply these tools across various thematic areas, including climate resilience, fiscal policy, and institutional reform. Beyond technical proficiency, Dr. Messono demonstrates strong skills in academic writing, project design, and policy translation. His ability to collaborate internationally and communicate results to diverse audiences enhances the practical impact and relevance of his research.

Publications Top Notes

Title: Women Political Empowerment and Vulnerability to Climate Change: Evidence from 169 Countries
Authors: SA Asongu, OO Messono, KTJ Guttemberg
Year: 2022
Citations: 52

Title: Adaptation to Climate Change in 172 Countries: The Importance of Intelligence
Authors: OO Messono, NN Mermoz Homère III
Year: 2024
Citations: 12

Title: Historical Technology and Current Economic Development: Reassessing the Nature of the Relationship
Authors: CM Mbassi, OO Messono
Year: 2023
Citations: 7

Title: Historical Prevalence of Infectious Diseases and Entrepreneurship: Evidence from 125 Countries
Authors: OO Messono, S Asongu
Year: 2024
Citations: 6

Title: Historical Prevalence of Infectious Diseases and Entrepreneurship: The Role of Institutions in 125 Countries
Authors: OO Messono, S Asongu
Year: 2021
Citations: 3* (Working paper citation count may vary by platform)

Title: Composite Index of Inclusive Growth in Sub-Saharan Africa: The Inclusion of the Informal Sector
Authors: OO Messono, NNM Homère III
Year: 2020
Citations: 3

Title: Historical Prevalence of Infectious Diseases and Gender Equality in 122 Countries
Authors: O Ombolo Messono, S Asongu, V Tchamyou
Year: 2024
Citations: 2*

Title: The Intersection of Public Services Digitalization and Women’s Empowerment in Tax Revenue Mobilization
Author: OO Messono
Year: 2025

Title: Elite Quality and the Pathway to Prosperity: A Cross-Country Mediation Analysis
Authors: OO Messono, F Eka, FA Zambo
Year: 2025

Title: Understanding the Legacy of Infectious Diseases: Institutional Quality and Its Role in Climate Change Resilience
Authors: OO Messono, AM Seabrook
Year: 2025

Conclusion

Dr. Omang Ombolo Messono is a highly deserving candidate for the Best Researcher Award due to his profound contributions to interdisciplinary research that bridges economic vulnerability, digital transformation, and institutional governance. His work provides impactful insights into how digital public services and gender empowerment influence sustainable fiscal development, particularly in emerging economies. With a growing publication record in reputable journals and active participation in international collaborations, his research continues to shape academic discourse and inform policy reforms across Africa and beyond. Dr. Messono’s future potential lies in his ability to lead cross-continental research initiatives, mentor upcoming scholars, and contribute to global discussions on inclusive development and innovation-driven governance.

Mosiur Rahman | Public Health | Best Researcher Award

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Dr. Mosiur Rahman | Public Health | Best Researcher Award

Professor at University of Rajshahi, Bangladesh

Professor Md. Mosiur Rahman is a renowned academic and researcher specializing in public health, population science, and global health leadership. Currently serving as a Professor at the University of Rajshahi, Bangladesh, he has made notable contributions to maternal and child health, noncommunicable diseases, and social determinants of health. With over 188 peer-reviewed publications and a citation count exceeding 36,000, he is among the top 2% of influential scientists globally. His academic journey includes advanced degrees from prestigious Japanese institutions, along with postdoctoral research under the Japan Society for the Promotion of Science (JSPS). Professor Rahman has led and collaborated on over 20 national and international research projects, with a strong record of mentorship, teaching, and public speaking. His editorial roles and professional memberships reflect his influence in shaping global health research. His work not only advances academic knowledge but also addresses real-world public health challenges impacting vulnerable populations.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Professor Md. Mosiur Rahman holds a distinguished academic background in public and global health. He completed his Doctor of Public Health (DrPH) in Global Health Entrepreneurship from Tokyo Medical and Dental University, Japan (2011–2015), funded by the Japanese Government (MEXT). He also undertook a JSPS Postdoctoral Fellowship (2017–2019) at the same institution. Prior to his doctoral studies, he earned a Master of Public Health (MPH) in International and Community Health from The University of Tokyo (2009–2011), and both his MSc and BSc degrees in Population Science and Human Resource Development from the University of Rajshahi, Bangladesh, graduating with first-class honors. Additionally, he completed a Certificate in Global Tobacco Control from Johns Hopkins University, USA. His educational trajectory demonstrates a strong global perspective and academic rigor, which has empowered him to contribute effectively to both research and teaching across diverse public health disciplines.

Professional Experience

Professor Rahman has accumulated nearly two decades of experience in academic and research roles, beginning as a Lecturer at the University of Rajshahi in 2006. He progressed to Assistant Professor, Associate Professor, and is now serving as a full Professor in the Department of Population Science and Human Resource Development. Internationally, he has held positions as a Teaching Assistant and Research Assistant at Tokyo Medical and Dental University, Japan, where he also served as a Teaching Instructor for SPSS. His experience includes working as a Research Fellow under a UNFPA-funded project aimed at strengthening population science education. Professor Rahman has designed and taught more than 20 courses, mentored numerous students, and participated in key academic committees. His leadership in academia extends to organizing workshops, delivering keynotes, and contributing to public health curriculum development, both locally and globally, making him a highly respected figure in his field.

Research Interest

Professor Rahman’s research interests are deeply rooted in improving health outcomes for underserved populations through evidence-based approaches. His primary areas include maternal and child health, noncommunicable diseases, health equity, social determinants of health, and violence against women. He is particularly invested in exploring health challenges in low- and middle-income countries, with a focus on Bangladesh. His work also addresses school health, nutrition, urban health, and planetary health, reflecting a comprehensive and forward-thinking approach to public health. He integrates methods from epidemiology, biostatistics, and implementation science to design, analyze, and evaluate interventions. His interdisciplinary lens allows him to connect global health issues with local contexts, providing scalable solutions. Additionally, his involvement in causal inference, longitudinal studies, and health system research makes him a critical contributor to health policy discussions. His commitment to translating research into practice has earned him recognition and impact across both academic and policy-making domains.

Award and Honor

Professor Md. Mosiur Rahman has received numerous prestigious awards recognizing his excellence in research and academic contributions. He was named among the Top 2% most influential scientists worldwide by Stanford American University in both 2022 and 2024. He received the UGC Gold Medal from the University Grants Commission of Bangladesh in 2016 and has been honored with Dean Awards from the University of Rajshahi for publishing high-quality Q1 journal articles in 2023 and 2024. Internationally, he earned the JSPS Postdoctoral Fellowship, MEXT Ph.D. Scholarship, and ADB-JSP Master’s Scholarship, reflecting strong academic merit and global competitiveness. Additionally, he was awarded Best Public Health Researcher 2024 by ScienceFather. From a young age, Professor Rahman was recognized with numerous academic scholarships and medals, including talent scholarships, hall gold medals, and board merit awards. These honors illustrate a lifelong commitment to academic excellence and impactful scientific contributions.

Research Skill

Professor Rahman possesses a diverse and advanced skill set that underpins his research success. He is highly proficient in quantitative research methodologies, including epidemiology, biostatistics, causal inference, and survival analysis, as well as qualitative methods relevant to public health investigations. His statistical expertise spans software such as SPSS, STATA, and R, which he also teaches to students and research staff. He is adept at designing and managing cross-sectional, longitudinal, and implementation science studies, particularly within low-resource settings. His skills also include grant writing, project management, and policy translation, enabling him to secure funding and influence health initiatives at national and international levels. Furthermore, his editorial experience equips him with a sharp eye for academic rigor and publication ethics. Professor Rahman combines technical precision with a deep understanding of health systems and community needs, making his research both impactful and adaptable to real-world health challenges.

Publications Top Notes

Title: Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019
Authors: E Nichols, JD Steinmetz, SE Vollset, K Fukutaki, J Chalek, F Abd-Allah, …
Year: 2022
Citations: 3956

Title: Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
Authors: GBD 2019 Stroke Collaborators
Year: 2021
Citations: 3514

Title: Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021
Authors: KL Ong, LK Stafford, SA McLaughlin, EJ Boyko, SE Vollset, AE Smith, …
Year: 2023
Citations: 2858

Title: Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
Authors: VL Feigin, BA Stark, CO Johnson, GA Roth, C Bisignano, GG Abady, …
Year: 2021
Citations: 2838

Title: Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019: a systematic analysis
Authors: JM Kocarnik, K Compton, FE Dean, W Fu, BL Gaw, JD Harvey, …
Year: 2022
Citations: 1747

Title: Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019
Authors: KS Ikuta, LR Swetschinski, GR Aguilar, F Sharara, T Mestrovic, AP Gray, …
Year: 2022
Citations: 1603

Title: Global incidence, prevalence, YLDs, DALYs, and HALE for 371 diseases and injuries in 204 countries and territories, 1990–2021
Authors: AJ Ferrari, DF Santomauro, A Aali, YH Abate, C Abbafati, H Abbastabar, …
Year: 2024
Citations: 1362

Title: Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021
Authors: M Naghavi, KL Ong, A Aali, HS Ababneh, YH Abate, C Abbafati, …
Year: 2024
Citations: 1116

Title: Global burden of bacterial antimicrobial resistance 1990–2021: a systematic analysis with forecasts to 2050
Authors: M Naghavi, SE Vollset, KS Ikuta, LR Swetschinski, AP Gray, EE Wool, …
Year: 2024
Citations: 1103

Title: Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050
Authors: ML Ferreira, K de Luca, LM Haile, JD Steinmetz, GT Culbreth, M Cross, …
Year: 2023
Citations: 1103

Title: Hearing loss prevalence and years lived with disability, 1990–2019: findings from the Global Burden of Disease Study 2019
Authors: LM Haile, K Kamenov, PS Briant, AU Orji, JD Steinmetz, A Abdoli, …
Year: 2021
Citations: 983

Conclusion

Professor Md. Mosiur Rahman is highly deserving of the Best Researcher Award for his outstanding contributions to public health research, his extensive publication record, and his commitment to addressing critical health challenges faced by vulnerable populations. His work has significantly advanced understanding in areas such as maternal and child health, noncommunicable diseases, and health equity. With a strong foundation in global health leadership and active involvement in impactful research projects, he continues to influence both academic and policy spheres. His proven dedication, international collaborations, and potential for future leadership make him a valuable contributor to global health innovation and research excellence.

Imen Bouchmel | Environmental management | Best Researcher Award

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Dr. Imen Bouchmel | Environmental management | Best Researcher Award

Doctor of finance at Higher Institute of Management of Tunis, University of Tunis, Tunisia

Dr. Imen Bouchmel is a finance researcher and academic professional with a focused interest in green investment, sustainable finance, and corporate innovation. She is currently serving as a contractual assistant at the Institut Supérieur de Gestion de Tunis, University of Tunis. With a strong academic background culminating in a Ph.D. in Finance, she has demonstrated exceptional dedication to advancing financial knowledge that aligns with global environmental and economic challenges. Dr. Bouchmel has published in high-impact journals such as the Journal of Environmental Management and Corporate Social Responsibility and Environmental Management, contributing meaningful insights into the nexus of financial performance, innovation, and environmental responsibility. She is actively engaged in both national and international conferences and has collaborated with multi-disciplinary research teams. Her combination of academic excellence, research productivity, and teaching experience marks her as a promising thought leader in the field of sustainable and responsible finance.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Imen Bouchmel earned her Ph.D. in Finance from the Institut Supérieur de Gestion de Tunis (ISGT), University of Tunis, between 2020 and 2023, graduating with the highest distinction: Très Honorable avec Félicitations du Jury. She previously completed a Master’s degree in Finance Research (2017–2019) at the same institution, awarded with Mention Très Bien, reflecting strong academic performance. Her foundational studies include a Bachelor’s degree in Finance (2014–2017) from ISGT, where she obtained Mention Assez Bien. Her academic journey began with a Mathematics Baccalaureate from Lycée Bardo, Tunis, in 2014, completed with Mention Bien. Throughout her academic career, Dr. Bouchmel has demonstrated consistent excellence and a clear trajectory toward financial research. Her solid education laid the groundwork for her specialization in green finance, corporate governance, and financial innovation—fields that are increasingly relevant in the context of global sustainability and economic development.

Professional Experience

Dr. Imen Bouchmel has held several academic roles since 2018, steadily progressing from a part-time teaching assistant to a full contractual assistant at the Institut Supérieur de Gestion de Tunis (ISGT), University of Tunis. Since 2020, she has contributed to a wide range of financial and accounting courses, including General Accounting, Financial Engineering, Corporate Evaluation, and Financial Control. Prior to this, she taught financial operations and business environment modules at the Institute of Future Training. Her early professional experience also includes a customer service advisory role at Convergys in 2018. Dr. Bouchmel’s academic teaching is complemented by her active role as a thesis project supervisor and rapporteur, underscoring her engagement in student mentorship and academic leadership. This depth of experience reflects a solid foundation in financial education and research application, supporting her contributions to academic and institutional development.

Research Interest

Dr. Bouchmel’s research interests lie primarily in green investment, sustainable finance, corporate innovation, and financial performance, with a strong emphasis on environmental responsibility in emerging and international markets. Her scholarly work explores how factors such as environmental monetary losses and gender diversity influence investment behaviors and corporate performance. She is particularly focused on examining the financial constraints of SMEs and how innovation can mediate their transition toward environmentally responsible operations. By integrating econometric analysis with theoretical modeling, her research aims to provide practical insights for both academia and industry. Her interest also extends to analyzing the role of financial engineering and financing sources in achieving environmental goals. Dr. Bouchmel’s contributions are timely, given the growing global emphasis on climate finance and ESG (Environmental, Social, and Governance) frameworks, and they demonstrate her commitment to aligning financial strategies with sustainable development objectives.

Award and Honor

Dr. Imen Bouchmel has earned notable recognition for her academic excellence and research contributions. The most prestigious honor is her Ph.D. in Finance awarded with “Très Honorable avec Félicitations du Jury”, the highest academic distinction from the University of Tunis, indicating outstanding scholarly achievement. Her Master’s degree was conferred with Mention Très Bien, further affirming her academic distinction. While she has not explicitly listed awards beyond these academic honors, her selection as a speaker and contributor to major international conferences—including the Financial Economics Meeting (FEM) in Paris and the Company and Climate Change Conference (CCC)—reflects recognition within the research community. Additionally, her acceptance into high-impact journals indexed in Scopus and Web of Science marks a significant achievement in scholarly publishing. Her growing visibility as a researcher focused on sustainability, innovation, and finance reflects her trajectory toward future academic awards and honors.

Research Skill

Dr. Bouchmel possesses a wide array of research skills that enable her to conduct advanced empirical and theoretical investigations in finance. She is proficient in econometric software such as STATA and R, which she uses for data modeling, regression analysis, and mediation analysis in her studies on green investment and corporate performance. Her methodological strengths include moderated mediation analysis, cross-country comparisons, and the construction of environmental and innovation-based financial models. She is experienced in drafting and submitting academic articles to high-impact journals and has strong skills in academic writing, peer-review processes, and citation management. Her active participation in conferences further highlights her abilities in academic presentation, scientific communication, and knowledge dissemination. In addition, her involvement in interdisciplinary training, such as machine learning applications in finance, showcases her adaptability to modern research tools and evolving methodologies. These competencies collectively establish her as a skilled and research-driven academic professional.

Publications Top Notes

Title: Financing sources, green investment, and environmental performance: Cross-country evidence
Authors: I. Bouchmel, Z. Ftiti, W. Louhichi, A. Omri
Journal: Journal of Environmental Management, Vol. 353, Article 120230
Year: 2024
Citations: 44

Title: The mediating effect of corporate innovation on the relationship between gender diversity and firm performance
Authors: I. Bouchmel, J. El Ouakdi, Z. Ftiti, W. Louhichi, A. Omri
Journal: Management International, Vol. 26(1), Pages 102–122
Year: 2022
Citations: 13

Conclusion

Dr. Imen Bouchmel is a deserving candidate for the Best Researcher Award due to her strong academic foundation, impactful research on green finance and corporate sustainability, and active involvement in scholarly dissemination. Her publications in reputed journals, combined with her participation in international conferences, reflect a commitment to addressing critical global challenges such as environmental responsibility and innovation in finance. With a growing research portfolio and evident leadership within academic circles, Dr. Bouchmel demonstrates great potential for continued contributions to both research and societal progress. Her trajectory positions her as a future leader in sustainable financial research and academic excellence.

Pengwei Zhu | Biostatistics | Best Researcher Award

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Mr. Pengwei Zhu | Biostatistics | Best Researcher Award

Post-doc at Bank of Beijing, China

Dr. Pengwei Zhu is a postdoctoral researcher at the Bank of Beijing, holding a Ph.D. in Biostatistics from the University of Texas Health Science Center at Houston. His research seamlessly integrates artificial intelligence, public health strategy, biostatistics, and neuroscience, with a strong focus on AI sustainability, brain connectivity, and pandemic modeling. As a Principal Investigator in the ABCD brain network study, Dr. Zhu has developed advanced statistical models to analyze adolescent brain development. He has authored several publications in peer-reviewed journals and holds two patents, including one in AI-driven financial reporting. His current work focuses on multimodal generative systems, graph neural networks, and quantitative frameworks for societal challenges. An active member of professional societies, Dr. Zhu’s interdisciplinary expertise bridges academic research and real-world impact. He is a dedicated scholar with growing international influence and a strong vision for future contributions in research, innovation, and cross-domain collaboration.

Professional Profile 

Education🎓

Dr. Pengwei Zhu earned his Ph.D. in Biostatistics from the University of Texas Health Science Center at Houston, where his dissertation focused on brain connectivity patterns among adolescents using advanced statistical and computational methods. His doctoral research was conducted as part of the Adolescent Brain Cognitive Development (ABCD) study, one of the most comprehensive brain imaging initiatives in the United States. During his academic journey, Dr. Zhu developed strong foundations in applied statistics, machine learning, neuroimaging, and epidemiological modeling. His academic training emphasized data-driven methodologies, longitudinal data analysis, and causal inference, enabling him to contribute effectively to multidisciplinary projects in neuroscience and public health. Prior to his doctoral studies, he completed undergraduate and master’s education in biostatistics-related fields, which laid the groundwork for his advanced research. Dr. Zhu’s academic path reflects a strong commitment to addressing complex problems through quantitative science, and he continues to apply this foundation in high-impact domains.

Professional Experience📝

Dr. Pengwei Zhu currently serves as a Postdoctoral Researcher at the Bank of Beijing, where he focuses on leveraging artificial intelligence for financial analytics and sustainable system design. Prior to this role, he gained substantial research experience during his Ph.D. at the University of Texas Health Science Center, contributing to high-impact studies such as the ABCD brain network project. As a Principal Investigator, he led the development of computational tools to analyze large-scale neuroimaging and behavioral datasets. Dr. Zhu also contributed to public health analytics through research on COVID-19 reopening strategies, integrating statistical models with real-time epidemiological data. His professional experience includes designing AI-driven generative systems and patenting a framework for automated financial report generation. Although early in his career, Dr. Zhu’s roles have demonstrated his capacity to lead interdisciplinary research, apply machine learning in real-world contexts, and translate academic findings into practical tools for healthcare, finance, and technology sectors.

Research Interest🔎

Dr. Pengwei Zhu’s research interests lie at the confluence of Artificial Intelligence, Biostatistics, Neuroscience, and Public Health Strategy. He is particularly focused on developing sustainable AI frameworks, multimodal generative models, and statistical techniques for brain network analysis. His academic curiosity has led him to apply graph neural networks (GNNs) and deep learning architectures to understand brain development patterns in adolescents through the ABCD study. Dr. Zhu is also deeply involved in designing predictive models for public health emergencies, such as COVID-19, emphasizing data-driven policymaking and societal resilience. His recent work on integrating AI into financial systems for report generation showcases his interest in cross-domain AI applications. Furthermore, he seeks to explore multimodal data fusion, computational neuroscience, and the ethical implications of sustainable machine learning. Through his interdisciplinary lens, Dr. Zhu aims to advance both foundational science and its practical applications in healthcare, education, and global sustainability.

Award and Honor🏆

Dr. Pengwei Zhu has been recognized for his innovative contributions to interdisciplinary research, particularly in the fields of AI, public health, and neuroscience. He is the recipient of two intellectual property patents, including one on an AI-powered system for financial report generation, which underscores his ability to bridge academic research with real-world applications. His selection as Principal Investigator in the highly prestigious ABCD brain network study reflects his leadership and technical excellence. Dr. Zhu has also been nominated for international accolades such as the Best Researcher Award, highlighting his growing recognition in the global research community. In addition to formal awards, his memberships in the Clinical Research Statistics Professional Committee and the World Federation of Chinese Medicine Societies serve as professional endorsements of his expertise. With an expanding publication record and growing citation base, Dr. Zhu continues to gain respect for his interdisciplinary vision and innovative methodologies.

Research Skill🔬

Dr. Pengwei Zhu possesses a diverse and advanced skill set across biostatistics, machine learning, and computational modeling. He is proficient in statistical programming languages such as R, Python, and MATLAB, and has applied these tools to complex problems in brain imaging, AI sustainability, and epidemiological forecasting. His expertise includes graph neural networks, deep learning, longitudinal data analysis, and causal inference—skills that are central to modern health data science and AI research. Dr. Zhu has developed analytical pipelines for neuroimaging data and statistical frameworks for modeling policy impact during the COVID-19 pandemic. Additionally, he has experience in automated reporting systems, multimodal data integration, and quantitative evaluation of AI models. His ability to bridge theoretical development with real-world applications makes him a valuable contributor in cross-disciplinary projects. Dr. Zhu continues to refine his skill set to include emerging areas such as explainable AI and sustainable machine learning frameworks.

Conclusion💡

Dr. Pengwei Zhu is a deserving candidate for the Best Researcher Award due to his strong interdisciplinary contributions that bridge artificial intelligence, biostatistics, neuroscience, and public health. His pioneering work in brain network analysis, AI-driven financial modeling, and pandemic response strategies highlights both academic depth and real-world impact. With a solid foundation in statistical science and a proven ability to lead complex research initiatives, Dr. Zhu has already demonstrated significant value to the scientific and societal landscape. As he continues to expand his global collaborations and increase his publication influence, his trajectory promises impactful leadership and innovation in both academia and applied research domains.

Publications Top Noted✍

  • Title: Mathematical modeling of business reopening when facing SARS-CoV-2 pandemic: protection, cost, and risk
    Authors: H. Miao, Q. Gao, H. Feng, C. Zhong, P. Zhu, L. Wu, M.D. Swartz, X. Luo, …
    Journal: Frontiers in Applied Mathematics and Statistics
    Cited by: 9
    Year: 2020

  • Title: Construction and Experimental Verification of Automatic Classification Process Based on K-Mer Frequency Statistics
    Authors: P. Zhu
    Conference: International Conference on Cyber Security Intelligence and Analytics
    Cited by: 7
    Year: 2024

  • Title: A key question to business owners facing SARS-CoV-2 pandemics: When to reopen my business?
    Authors: H. Miao, Q. Gao, H. Feng, C. Zhong, P. Zhu, L. Wu, M.D. Swartz, X. Luo, …
    Source: arXiv preprint arXiv
    Cited by: 1
    Year: 2006

  • Title: Assessing Impact of Strategic Investments on Development of Sustainable Artificial Intelligence Dynamics
    Authors: P. Zhu, Y. Sun
    Journal: Sustainable Futures
    Cited by: Not yet cited (new publication)
    Year: 2025

Yusuf Shehu | Physics | Excellence in Research

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Dr. Yusuf Shehu | Physics | Excellence in Research

Dr at Aliko Dangote University of Science and Technology, Wudil, Nigeria

Dr. Yusuf Shehu is an accomplished physicist and researcher specializing in semiconductor devices, nanotechnology, and optoelectronics. With over a decade of teaching and research experience, he has demonstrated deep expertise in UV photodetectors, thin film fabrication, and spintronic materials. His research integrates experimental techniques such as laser-assisted chemical bath deposition and theoretical simulations like SCAPS-1D and density functional theory. Dr. Shehu has authored over 20 peer-reviewed publications in Scopus-indexed journals and actively contributes to international conferences and academic societies. His academic journey reflects global engagement, having pursued advanced degrees in Malaysia and Turkey. Beyond academia, he is actively involved in mentoring students, community outreach, and scientific awareness initiatives. As a member of professional organizations including the Nigerian Institute of Physics and RAESON, he continuously expands his network and influence. Dr. Shehu’s combined strengths in research, teaching, and leadership position him as a promising academic and innovator in applied physics.

Professional Profile 

Education🎓

Dr. Yusuf Shehu holds a robust academic background in physics, beginning with a Bachelor of Science degree from Kano University of Science and Technology, Wudil, in 2010, where he conducted research on groundwater radioactivity. He earned a Master of Science in Physics from Fatih University, Istanbul, Turkey, in 2014, completing a thesis on spin-dependent properties in two-dimensional systems. Currently, he is pursuing a Ph.D. in Physics at Universiti Sains Malaysia (USM), expected to complete in 2025. His doctoral research focuses on the fabrication and characterization of antimony-doped TiO₂ nanoparticles for UV photodetectors using laser-assisted chemical bath deposition. In addition to his formal education, he has also earned a diploma in Data Processing and Information Technology, strengthening his proficiency in computational tools. His academic trajectory reflects both breadth and depth, with a strong emphasis on nanomaterials, simulation methods, and device physics, all of which are foundational to his ongoing research and teaching activities.

Professional Experience📝

Dr. Yusuf Shehu has accumulated over a decade of academic experience at Aliko Dangote University of Science and Technology, Wudil, serving in various capacities from Graduate Assistant to his current role as Lecturer I. His teaching portfolio includes undergraduate courses in mechanics, electromagnetism, modern physics, and experimental physics. He has supervised numerous student projects on topics ranging from fluid surface tension to nanodevice construction. Internationally, he has served as a Research Assistant at Universiti Sains Malaysia during his doctoral studies, contributing to funded research projects on photodetectors and nanomaterials. In addition to his academic roles, Dr. Shehu has held administrative positions such as departmental examination officer, level adviser, and committee member for admissions and student awards. He has also contributed to pre-degree and remedial education programs, demonstrating his commitment to academic development across multiple levels. His professional journey reflects a balance of teaching, mentorship, research, and institutional service.

Research Interest🔎

Dr. Yusuf Shehu’s research interests are grounded in the fields of nanomaterials, semiconductor devices, photodetectors, and spintronics. He is particularly focused on the synthesis and characterization of materials for optoelectronic applications, including UV photodetection, molecular electronics, and LEDs. His work explores TiO₂ nanostructures, doped materials, and 2D systems for enhanced electronic and optical performance. He is proficient in SCAPS-1D simulations and density functional theory (DFT), employing these tools to model nanostructures and optimize device performance. His research also includes spin-polarized transport, electronic and magnetic properties of materials, and high-k dielectric heterostructures. Dr. Shehu is interested in bridging theory and practice, using both computational and experimental methods to address real-world technological challenges. He is particularly motivated by the potential of nanotechnology to revolutionize energy harvesting, sensing, and electronic systems. His future goals include expanding into quantum device modeling and sustainable energy applications using novel materials and hybrid nanostructures.

Award and Honor🏆

Dr. Yusuf Shehu has been recognized for both academic excellence and research contributions. He received the Best Paper Presenter Award at the 6th International Conference on Clean Energy and Technology held at University Malaya, Malaysia in 2023, affirming the quality and impact of his scientific work. His academic journey has been supported by prestigious scholarships, including the TETFund Overseas Ph.D. Scholarship awarded by the Nigerian government in 2020 and a Kano State Government scholarship for his Master’s program in Turkey in 2012. Additionally, he has received certificates of appreciation and participation from numerous scientific conferences, workshops, and training sessions. These include the OSH course at USM, international symposia on electric mobility, and several national conferences organized by the Nigerian Institute of Physics and NAMP. His contributions have also earned him honorary recognitions from academic societies and student associations, reflecting his active involvement in academic and community-based initiatives.

Research Skill🔬

Dr. Yusuf Shehu possesses a strong skillset in both experimental and computational research methods, making him versatile in advanced physics and materials science investigations. Experimentally, he is proficient in laser-assisted chemical bath deposition, chemical bath techniques, and ac/dc sputtering, which he uses for fabricating high-performance nanostructures and semiconductor devices. His computational expertise includes SCAPS-1D for device simulation, and density functional theory (DFT), particularly with Quantum ATK software, to model the electronic, magnetic, and optical properties of materials. He also employs the Green’s function technique for analyzing electron transport in nanostructures. His data analysis skills are further supported by his IT background, with competency in Python, LaTeX, and common data processing tools. Dr. Shehu integrates theory and practice in his research workflow, allowing for a more comprehensive understanding of materials behavior. His multidisciplinary approach supports innovation in optoelectronics, spintronics, and nanotechnology applications.

Conclusion💡

Dr. Yusuf Shehu is a deserving candidate for the Best Researcher Award due to his significant and sustained contributions to the fields of nanomaterials, semiconductor devices, and photodetection technologies. His research has advanced the development of antimony-doped TiO₂-based UV photodetectors and contributed to the broader understanding of nanoscale electronic and optical properties. Through impactful publications, active participation in international research projects, and dedication to mentoring students, he has made meaningful contributions to both scientific knowledge and societal advancement. With his strong academic foundation, international exposure, and drive for innovation, Dr. Shehu is well-positioned to emerge as a future leader in applied physics and nano-optoelectronics, driving impactful research and fostering global collaborations in the years to come.

Publications Top Noted✍

  • Title: Direct and Residual Contributions of Symbiotic Nitrogen Fixation by Legumes to the Yield and Nitrogen Uptake of Maize (Zea mays L.) in the Nigerian Savannah
    Authors: UR Pal, Y Shehu
    Year: 2001
    Cited by: 58

  • Title: Yield and chemical composition responses of Lablab purpureus to nitrogen, phosphorus and potassium fertilisers
    Authors: Y Shehu, WS Alhassan, UR Pal, CJC Phillips
    Year: 2001
    Cited by: 41

  • Title: The Effect of Intercropping Lablab purpureus L. with Sorghum on Yield and Chemical Composition of Fodder
    Authors: Y Shehu, WS Alhassan, UR Pal, CJC Phillips
    Year: 1999
    Cited by: 22

  • Title: The productivity of pure and mixed grass-legume pastures in the northern Guinea Savanna zone of Nigeria
    Authors: Y Shehu, JO Akinola
    Year: 1995
    Cited by: 21

  • Title: Gamma Ray and FTIR studies in zinc doped lead borate glasses for radiation shielding application
    Authors: ZI Takai, RS Kaundal, MK Mustafa, S Asman, A Idris, Y Shehu, …
    Year: 2018
    Cited by: 17

  • Title: The Effects of Sowing Date on the Growth and Nutritive Value of Lablab purpureus
    Authors: Y Shehu, WS Alhassan, UR Pal, CJC Phillips
    Year: 2001
    Cited by: 16

  • Title: The effects of green manuring and chemical fertiliser application on maize yield, quality and soil composition
    Authors: Y Shehu, WS Alhassan, GWK Mensah, A Aliyu, CJC Phillips
    Year: 1998
    Cited by: 16

  • Title: The effect of intercropping maize with Stylosanthes hamata at different row spacings on grain and fodder yields and chemical composition
    Authors: Y Shehu, WS Alhassan, CJC Phillips
    Year: 1997
    Cited by: 13

  • Title: Effect of Gross Alpha and Beta in Groundwater intake and Estimation of Groundwater Table in Kano University of Science and Technology, Wudil
    Authors: S Yusuf, G Iliyasu, UA Danbatta, AY Hotoro
    Year: 2015
    Cited by: 12

  • Title: The Effects of Timing of an Interim Harvest on the Yield and Composition of Lablab purpureus
    Authors: Y Shehu, WS Alhassan, UR Pal, CJC Phillips
    Year: 2001
    Cited by: 7

  • Title: Fabrication of TiO2 nanoparticles/porous-silicon heterostructure photodetector for UV detection
    Authors: Y Shehu, SAM Samsuri, NM Ahmed, S Aslam
    Year: 2024
    Cited by: 6

  • Title: Energy efficiency improvement in fish production systems in Oyo State, Nigeria: a path towards sustainable protein supply
    Authors: YU Oladimeji, SA Adepoju, HO Yusuf, S Yusuf
    Year: 2018
    Cited by: 6

  • Title: The Effects of Plant Population Density on the Growth and Chemical Composition of Lablab purpureus Grown for Fodder Production in a Semi‐Arid Region
    Authors: Y Shehu, WS Alhassan, UR Pal, CJC Phillips
    Year: 2001
    Cited by: 6

Muhammad Muzzammil Sajjad | Applied AI in Agriculture | Best Researcher Award

Published on by Computer Vision Awards

Mr. Muhammad Muzzammil Sajjad | Applied AI in Agriculture | Best Researcher Award

R&D Executive at Khadija Foods, Pakistan

Muhammad Muzzammil Sajjad is a dynamic researcher and engineer with a strong background in food engineering, artificial intelligence, and computer vision. He combines academic rigor with practical experience, focusing on AI-driven solutions for agriculture and food processing. His work involves developing machine learning models for disease detection, fruit maturity prediction, and quality assessment using deep learning and image processing techniques. With a deep understanding of both engineering principles and software technologies, Mr. Sajjad has demonstrated the ability to deliver impactful solutions that address real-world challenges in food security and smart farming. He has contributed to peer-reviewed publications, developed mobile applications for disease detection, and participated in cross-functional roles in the food industry. Alongside his research, he is also a skilled graphic designer and has been active in academic societies and student leadership. His unique blend of technical expertise, creativity, and passion for innovation makes him a promising contributor to science and technology.

Professional Profile 

Education🎓

Muhammad Muzzammil Sajjad completed his higher education at the University of Agriculture Faisalabad, one of Pakistan’s leading institutions for agricultural and engineering sciences. He earned a Master of Science (Hons) in Food Engineering, where his thesis focused on developing an AI-based image processing method for detecting citrus canker diseases. This research emphasized the integration of deep learning and mobile application development for smart agricultural solutions. Prior to this, he earned his Bachelor’s degree in Food Engineering from the same university, during which he designed and fabricated a citrus juice extractor as part of his final year project. His educational journey is characterized by a strong emphasis on innovation, practical problem-solving, and multidisciplinary integration. In addition to formal academic programs, Mr. Sajjad has completed numerous online courses and certifications in deep learning, MATLAB programming, neural networks, mobile app development, and AutoCAD, reflecting his commitment to continuous learning and professional development.

Professional Experience📝

Muhammad Muzzammil Sajjad has gained significant professional experience in both industry and freelance roles, contributing to quality assurance, production management, and technical development. Currently serving as a Quality Control Executive at Khadija Foods in Faisalabad, he performs analytical testing, ensures compliance with food safety standards, and supports process optimization. Previously, he worked as a Production and QA Officer at Madina Sweets and Bakers, where he oversaw daily operations, enforced hygiene standards, and improved production efficiency. Beyond traditional roles, he has worked as a freelance graphic designer on Fiverr, delivering logo designs, animations, PDF forms, and vector illustrations for clients globally. His ability to manage diverse projects demonstrates strong organizational and communication skills. Earlier in his career, he completed an internship at Dawn Bread, where he gained hands-on experience in bakery product processing and operations. This diverse professional background strengthens his adaptability and enhances his ability to merge technical innovation with practical execution.

Research Interest🔎

Muhammad Muzzammil Sajjad’s research interests lie at the intersection of agricultural engineering, artificial intelligence, computer vision, and precision agriculture. He is particularly focused on the development of AI-based models for disease detection, quality control, and fruit maturity prediction in postharvest systems. His work integrates deep learning, convolutional neural networks (CNNs), and attention mechanisms to solve complex problems in image analysis and classification. He is also interested in engineering design and robotics applications in the food sector, aiming to develop autonomous systems that improve productivity and reduce waste. His goal is to leverage modern AI technologies to create practical solutions that support sustainable and intelligent agriculture. Mr. Sajjad’s work is application-driven, with a strong emphasis on usability in real-world farming and food processing environments. By combining computational intelligence with field-specific expertise, he contributes toward a future where agriculture is more data-driven, efficient, and environmentally responsible.

Award and Honor🏆

Muhammad Muzzammil Sajjad has received several awards and recognitions that reflect his academic excellence and commitment to leadership. He was awarded a Silver Medal for securing academic distinction in his undergraduate studies in Food Engineering at the University of Agriculture Faisalabad. His consistent academic performance also earned him the Rafhan Merit and Need-Based Scholarship, granted by Rafhan Maize Products Co. Ltd. for outstanding achievements and leadership potential. He was further recognized with the University Merit Scholarship, highlighting his strong dedication to scholarly pursuits. In addition to academic honors, Mr. Sajjad has actively participated in co-curricular activities, serving as a graphic designer for student societies and participating in sports competitions, including badminton and basketball. These accolades not only highlight his academic capabilities but also his well-rounded personality, involvement in student life, and proactive attitude. His achievements establish a strong foundation for continued growth and excellence in research and professional endeavors.

Research Skill🔬

Muhammad Muzzammil Sajjad possesses a robust set of research skills spanning deep learning, image processing, software development, and engineering design. He is proficient in Python and MATLAB for AI model development and data analysis, with expertise in convolutional neural networks (CNNs), attention modules, and transfer learning techniques. He has experience in mobile app development using Android Studio and React Native, allowing for real-time deployment of AI models in agricultural applications. His design and simulation skills include tools like AutoCAD, SolidWorks, and Ansys, essential for prototype development and mechanical design in food engineering. He is adept in MATLAB modeling, EES calculations, and using MS Excel for data evaluation. Additionally, he has developed technical reports, academic manuscripts, and graphical representations for scientific communication. These interdisciplinary skills enable him to manage all aspects of a research project — from design and experimentation to analysis, visualization, and practical implementation in industry settings.

Conclusion💡

Muhammad Muzzammil Sajjad is a deserving candidate for the Best Researcher Award due to his innovative work at the intersection of food engineering and artificial intelligence. His research contributions, particularly in AI-based image processing for disease detection and quality monitoring in agriculture, address critical challenges in food security and sustainable farming. With a strong foundation in both academic research and industry practice, he has demonstrated a unique ability to translate complex technologies into practical solutions that benefit society. Looking ahead, his potential to lead interdisciplinary research, foster international collaborations, and contribute to the advancement of intelligent agricultural systems positions him as a future leader in the field.

Publications Top Noted✍

  • Title: Advancement in Artificial Intelligence for On-Farm Fruit Sorting and Transportation
    Authors: Z. Zhou, U. Zahid, Y. Majeed, Nisha, S. Mustafa, M. M. Sajjad, H. D. Butt, L. Fu
    Year: 2023
    Citations: 40

  • Title: Conventional and Advanced Extraction Methods of Some Bioactive Compounds with Health Benefits of Food and Plant Waste: A Comprehensive Review
    Authors: M. Waseem, Y. Majeed, T. Nadeem, L. H. Naqvi, M. A. Khalid, M. M. Sajjad, …
    Year: 2023
    Citations: 36

  • Title: Climate Change, Flood Disaster, and Food Insecurity in Pakistan
    Authors: M. Waseem, Y. Majeed, T. Nadeem, L. H. Naqvi, M. A. Khalid, M. Shafiq, …
    Year: 2022
    Citations: 3

Kazeem Aderemi Bello | Additive Manufacturing | Innovation Excellence Award

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Dr. Kazeem Aderemi Bello | Additive Manufacturing | Innovation Excellence Award

Postdoctoral Fellow at Durban University of Technology, Steven Biko Campus, South Africa

Dr. Kazeem Aderemi Bello is a highly accomplished industrial and mechanical engineer with extensive expertise in smart manufacturing, lean production systems, and industrial process optimization. He currently serves in the Department of Mechanical Engineering at Durban University of Technology, South Africa, and holds a postdoctoral fellowship. With a strong academic foundation and over two decades of experience, Dr. Bello has contributed significantly to both academia and industry. His research output spans over 20 Scopus-indexed publications, addressing crucial areas such as sustainable production, machining processes, occupational safety, and engineering education. A registered COREN engineer and a member of several national and international professional organizations, he is widely respected for his leadership, innovation, and commitment to training future engineers. He has also earned recognition for his excellence in teaching and has participated in international workshops and certifications. Dr. Bello exemplifies dedication to research, education, and global collaboration in engineering sciences.

Professional Profile 

Education🎓

Dr. Kazeem Aderemi Bello’s academic journey reflects a progressive and multidisciplinary advancement in engineering. He earned his Ph.D. in Industrial Engineering from the University of Benin, Nigeria, in 2018, with a dissertation focused on manufacturing and safety in fiber cement sheet production. Prior to his doctoral degree, he obtained a Master’s in Engineering Management (2014) and a Postgraduate Diploma in Mechanical Engineering (2008), also from reputable Nigerian institutions. His foundational qualifications include a Higher National Diploma (HND) in Mechanical Engineering from Yaba College of Technology (1998) and a Senior Secondary Certificate from Idi-Araba High School (1993). Additionally, his credentials have been evaluated and recognized by the South African Qualifications Authority (SAQA) in 2022, further validating his academic standing internationally. His education has equipped him with both theoretical knowledge and applied skills, enabling him to conduct impactful research and contribute effectively to academic and professional engineering practices.

Professional Experience📝

Dr. Kazeem Aderemi Bello brings a rich blend of academic and industrial experience spanning over two decades. He is currently serving as a Postdoctoral Research Fellow in the Department of Mechanical Engineering at Durban University of Technology, South Africa, where he conducts advanced research in smart manufacturing and production optimization. Prior to this role, he held teaching and research positions at several Nigerian universities, including the University of Benin, where he contributed to curriculum development, student supervision, and departmental growth. Beyond academia, Dr. Bello has also engaged in technical consulting and project implementation related to health and safety systems, industrial audits, and mechanical system design. His professional journey is enriched by his participation in numerous international workshops and certifications, including NEBOSH training in the UK and the Royal Academy of Engineering programs in Kenya. His leadership and practical experience make him a versatile engineer and educator with both local and global impact.

Research Interest🔎

Dr. Bello’s research interests lie at the intersection of smart manufacturing technology, production process optimization, and lean manufacturing systems. His work focuses on improving efficiency, sustainability, and adaptability within industrial operations, especially through digital and data-driven approaches. He is particularly interested in the life cycle assessment of manufacturing systems, machining processes, and renewable energy integration. His published studies have addressed issues such as resource recycling for zero-waste production, nano-fluid applications in machining, safety analysis in construction, and e-learning adaptation in engineering education. His ongoing projects include the integration of intelligent systems into production environments and the modeling of complex industrial operations for optimal performance. Dr. Bello also has a keen interest in occupational health and safety, contributing to safer and more efficient industrial workflows. By aligning academic research with industrial needs, he aims to bridge the gap between theoretical innovation and practical application across engineering sectors.

Award and Honor🏆

Dr. Kazeem Aderemi Bello has received several prestigious awards and honors that recognize his excellence in research, teaching, and professional service. Most notably, he is a Postdoctoral Fellowship Awardee at Durban University of Technology, South Africa, a competitive research position awarded based on academic merit and research potential. In 2019, he was honored with the Best Lecturer Award by the Nigerian Universities Engineering Students Association (NUESA) at Afe Babalola University, reflecting his dedication to education and student mentorship. He has also been listed among the Top 500 Nigerian Authors by scholarly output for 2021–2025, affirming his research productivity and impact. Additionally, he holds certifications from NEBOSH UK in occupational safety and has participated in capacity-building workshops under the Royal Academy of Engineering. His fellowships and professional affiliations highlight his influence in both academic and industrial communities, making him a respected leader and contributor in the engineering domain.

Research Skill🔬

Dr. Bello possesses a wide array of research skills that span experimental design, computational modeling, statistical analysis, and process optimization in manufacturing and industrial systems. He is proficient in conducting factorial and parametric studies, developing machine prototypes, and implementing life cycle assessments for sustainability evaluation. His methodological approach often incorporates tools such as Taguchi analysis, response surface methodology, and finite element modeling, enabling accurate simulation and optimization of engineering systems. Dr. Bello also demonstrates expertise in health and safety audits, quality management, and environmental compliance through certifications in ISO standards and NEBOSH training. He has contributed to interdisciplinary projects involving mechanical design, green energy, machining, and educational innovation. His publications reflect strong skills in technical writing, data interpretation, and collaborative research, often co-authoring with international teams. Overall, Dr. Bello’s research skills are rooted in practical relevance and technical rigor, positioning him as an effective problem-solver in modern engineering challenges.

Conclusion💡

Dr. Kazeem Aderemi Bello is a deserving candidate for the Best Researcher Award due to his outstanding contributions to industrial and mechanical engineering, particularly in the areas of smart manufacturing, lean systems, and sustainable production. His prolific research output in Scopus and IEEE-indexed journals, along with his active involvement in professional bodies and international collaborations, underscores his commitment to advancing both academic knowledge and practical engineering solutions. Beyond research, his leadership in student mentorship, engineering education, and occupational safety demonstrates a strong societal impact. With his continued focus on innovation, global engagement, and academic excellence, Dr. Bello possesses significant potential to emerge as a leading voice in industrial systems engineering and global manufacturing transformation.

Publications Top Noted✍

  • Title: Resource recycling with the aim of achieving zero-waste manufacturing
    Authors: O. Awogbemi, D.V.V. Kallon, K.A. Bello
    Year: 2022
    Citations: 70

  • Title: Modelling, simulation and experimental validation of the milling operation of titanium alloy (Ti6Al4V)
    Authors: I. Daniyan, F. Fameso, F. Ale, K. Bello, I. Tlhabadira
    Year: 2020
    Citations: 36

  • Title: Photocatalytic degradation of an anionic dye in aqueous solution by visible light responsive zinc oxide-termite hill composite
    Authors: A.S. Yusuff, K.A. Bello, T.M. Azeez
    Year: 2020
    Citations: 19

  • Title: Comparative economic analysis of organic and inorganic vegetable production in Ogun State, Nigeria
    Authors: A.O. Dipeolu, K.A. Bello, S.O. Akinbode
    Year: 2006
    Citations: 19

  • Title: Synthesis of fatty acid methyl ester via transesterification of waste frying oil by a zinc-modified pumice catalyst: Taguchi approach to parametric optimization
    Authors: A.S. Yusuff, K.A. Bello
    Year: 2019
    Citations: 17

  • Title: Resource recycling with the aim of achieving zero-waste manufacturing
    Authors: O. Awogbemi, D.V.V. Kallon, K.A. Bello
    Year: 2022
    Citations: 13 (duplicate listing)

  • Title: Life cycle assessment for the milling operation of titanium alloy (Ti6Al4V)
    Authors: I. Daniyan, K. Mpofu, K. Bello, R. Muvunzi
    Year: 2022
    Citations: 10

  • Title: Biomedical engineering in Nigeria: The genesis, present and the future
    Authors: A.A. Bamigboye, K.A. Bello
    Year: 2021
    Citations: 10

  • Title: Assessment of Alternative Fuels for Sustainable Road Transportation
    Authors: K.A. Bello, O. Awogbemi, M.G. Kanakana-Katumba
    Year: 2023
    Citations: 8

  • Title: Development and simulation of isotropic hardening for AISI 1035 weld stress prediction during design and welding assembly of lower brackets of rail cars
    Authors: I.A. Daniyan, K. Mpofu, F.O. Fameso, A.O. Adeodu, K.A. Bello
    Year: 2019
    Citations: 8

  • Title: A review of additive manufacturing post-treatment techniques for surface quality enhancement
    Authors: K.A. Bello, M.G. Kanakana-Katumba, R.W. Maladzhi
    Year: 2023
    Citations: 6

  • Title: The use of adaptive fuzzy-PID for vibration control in the suspension system of a railcar
    Authors: D. Ilesanmi, M. Khumbulani, A. Adefemi, B. Kazeem
    Year: 2020
    Citations: 6

  • Title: Comparative Economic Analysis of Organic and Inorganic Vegetable Production in Ogun State
    Authors: A.O. Dipeolu, K.A. Bello, A. S.O.
    Year: 2006
    Citations: 6

  • Title: Recent advances in smart manufacturing: A case study of small, medium, and micro enterprises (SMME)
    Authors: K.A. Bello, M.G. Kanakana-Katumba, R.W. Maladzhi, C.O. Omoyi
    Year: 2024
    Citations: 5

  • Title: Investigations into the tensile properties and microstructural features of Coconut fibre (Coir) reinforced Polylactic acid (PLA) biodegradable composites
    Authors: C.I. Madueke, O.J. Agunsoye, R. Umunakwe, B. Bolasodun, F. Kolawole, …
    Year: 2023
    Citations: 5

John Wilson | Urban hotspot event detection | Best Researcher Award

Published on by Computer Vision Awards

Prof. Dr. John Wilson | Urban hotspot event detection | Best Researcher Award

Professor and Founding Director, USC Spatial Sciences Institute at University of Southern California, United States

Dr. John P. Wilson is a globally recognized expert in Geographic Information Science (GIS), spatial data science, and environmental modeling. As Professor and Founding Director of the Spatial Sciences Institute at the University of Southern California (USC), he has dedicated his career to advancing spatial thinking in public health, sustainability, and human-environment systems. His work integrates spatial analysis, GIS, and computational tools to address pressing urban and environmental challenges. With a career spanning several decades, Dr. Wilson has published extensively in high-impact journals and authored foundational books in his field. His leadership extends beyond academia through mentorship, editorial service, and global collaborations. He has also contributed to curriculum development and capacity building in spatial sciences internationally. Dr. Wilson’s visionary approach and interdisciplinary expertise continue to influence research, policy, and education worldwide, making him a key figure in advancing geospatial technologies for societal benefit.

Professional Profile 

Education🎓

Dr. John P. Wilson’s academic journey reflects a unique blend of geography, law, and scientific inquiry. He earned his Ph.D. in Geography from the University of Toronto in 1986, with a dissertation on the statistical modeling of environmental change in Canadian watersheds. He previously completed a Master of Science with Distinction and a First-Class Honors Bachelor’s degree in Geography from the University of Canterbury, New Zealand. In addition to his geographic training, he also holds an LL.B. in Law, which enriches his understanding of regulatory and policy frameworks tied to spatial planning and environmental management. This broad interdisciplinary foundation has enabled Dr. Wilson to address spatial problems from multiple perspectives, bridging gaps between data, policy, and real-world applications. His academic credentials have laid a strong groundwork for his impactful career in GIS, environmental modeling, and public health analysis through spatial science.

Professional Experience📝

Dr. John P. Wilson has built a rich and influential professional career in academia and research leadership. He currently serves as a Professor of Spatial Sciences and Founding Director of the Spatial Sciences Institute at the University of Southern California (USC), where he also established the Wilson Map Lab. Over the years, he has held faculty and administrative roles at USC, the University of California, and visiting appointments at institutions such as the Australian National University, Utrecht University, and the Chinese Academy of Sciences. Dr. Wilson has also directed key research centers, including the USC GIS Research Laboratory and has served as Principal Investigator on projects funded by NSF, NIH, and NASA. He is a leader in developing spatial science education and interdisciplinary research programs, mentoring scholars across geography, urban planning, and public health. His work bridges research, education, and societal engagement at both national and international levels.

Research Interest🔎

Dr. Wilson’s research interests span a wide spectrum of spatial sciences, with a strong focus on environmental modeling, digital terrain analysis, spatial epidemiology, and urban sustainability. He is deeply engaged in developing geospatial tools to understand coupled human-environment systems, using spatial analysis, GIS, remote sensing, and computational modeling. His work is particularly focused on GeoAI, public health disparities, and landscape dynamics, where spatial data science is applied to study the spread of diseases, assess environmental justice, and optimize urban planning. He also investigates how physical environments affect behavioral outcomes, such as physical activity and health risks, in diverse communities. His research integrates real-world geospatial data with advanced modeling techniques to produce actionable insights for policy and planning. By combining technical innovation with social relevance, Dr. Wilson’s research not only advances theory but also offers practical applications for public agencies, non-profits, and global sustainability efforts.

Award and Honor🏆

Dr. John P. Wilson has received numerous awards and honors in recognition of his exceptional contributions to geographic information science and interdisciplinary research. He is a Fellow of the American Association of Geographers (AAG) and the University Consortium for Geographic Information Science (UCGIS)—prestigious accolades awarded to scholars who have made sustained and distinguished contributions to their fields. He received the USC Raubenheimer Outstanding Senior Faculty Award and the Mellon Award for Excellence in Mentoring, both acknowledging his commitment to teaching and mentorship. His leadership in academic publishing is reflected in his role as Founding Editor-in-Chief of Transactions in GIS, an influential international journal. He has also been recognized by global programs such as China’s Thousand Talents of Foreign Experts. These honors underscore his scholarly excellence, educational leadership, and global impact in spatial science, reaffirming his role as a key figure in advancing the discipline worldwide.

Research Skill🔬

Dr. Wilson possesses a versatile and high-level skillset across core areas of geographic information science and spatial analysis. He is proficient in GIS software (ArcGIS, QGIS), spatial statistics, digital terrain modeling, remote sensing, and computational modeling. His work often involves advanced spatial data integration, Python and R programming, and machine learning techniques tailored for environmental and urban data. Dr. Wilson is also skilled in data visualization, map design, and building spatially enabled decision-support systems. His expertise in spatial epidemiology and urban informatics allows him to model public health phenomena with precision. Beyond technical skills, he demonstrates strength in interdisciplinary project management, international collaboration, and academic publishing. He actively contributes to editorial boards, leads curriculum development in geospatial education, and mentors researchers on advanced analytical workflows. These multifaceted research skills empower him to solve complex societal problems using cutting-edge spatial science approaches.

Conclusion💡

Dr. John P. Wilson is a highly deserving candidate for the Best Researcher Award, given his outstanding contributions to the fields of GIS, spatial data science, and environmental modeling over a distinguished academic career. His pioneering research has significantly advanced our understanding of human-environment interactions and public health through geospatial technologies, while his leadership in establishing research institutes and academic programs has shaped the next generation of spatial scientists. With a global presence, extensive publication record, and strong community engagement, Dr. Wilson continues to influence both academia and applied science. His ongoing work in GeoAI, urban sustainability, and spatial health analytics positions him to remain at the forefront of interdisciplinary innovation and policy-relevant research in the years ahead.

Publications Top Noted✍

  • Title: Terrain Analysis: Principles and Applications
    Authors: JP Wilson, JC Gallant
    Year: 2000
    Cited by: 2483

  • Title: Length-slope factors for the Revised Universal Soil Loss Equation: Simplified method of estimation
    Authors: ID Moore, JP Wilson
    Year: 1992
    Cited by: 1046

  • Title: Parks and park funding in Los Angeles: An equity-mapping analysis
    Authors: J Wolch, JP Wilson, J Fehrenbach
    Year: 2005
    Cited by: 960

  • Title: Digital Terrain Analysis
    Authors: JP Wilson, JC Gallant
    Year: 2000
    Cited by: 765

  • Title: Got green? Addressing environmental justice in park provision
    Authors: C Sister, J Wolch, J Wilson
    Year: 2010
    Cited by: 549

  • Title: GIS and land-surface–subsurface process modeling
    Authors: ID Moore, AK Turner, JP Wilson, SK Jenson, LE Band
    Year: 1993
    Cited by: 445

  • Title: Digital Terrain Modeling
    Authors: JP Wilson
    Year: 2012
    Cited by: 425

  • Title: On Human Nature 2
    Authors: J Wilson, California Energy Commission
    Year: 1978
    Cited by: 347

  • Title: From text to geographic coordinates: the current state of geocoding
    Authors: DW Goldberg, JP Wilson, CA Knoblock
    Year: 2007
    Cited by: 335

  • Title: Secondary Topographic Attributes
    Authors: JP Wilson, JC Gallant
    Year: 2000
    Cited by: 276

  • Title: TAPES-G: A grid-based terrain analysis program for the environmental sciences
    Authors: JC Gallant, JP Wilson
    Year: 1996
    Cited by: 256

  • Title: Erosional impact of hikers, horses, motorcycles, and off-road bicycles on mountain trails in Montana
    Authors: JP Wilson, JP Seney
    Year: 1994
    Cited by: 234

  • Title: Fuzzy k-means classification of topo-climatic data as an aid to forest mapping in the Greater Yellowstone Area, USA
    Authors: PA Burrough, JP Wilson, PFM Van Gaans, AJ Hansen
    Year: 2001
    Cited by: 224

  • Title: DEM resolution dependencies of terrain attributes across a landscape
    Authors: Y Deng, JP Wilson, BO Bauer
    Year: 2007
    Cited by: 214

  • Title: Ambient air pollutants have adverse effects on insulin and glucose homeostasis in Mexican Americans
    Authors: Z Chen, MT Salam, C Toledo-Corral, RM Watanabe, AH Xiang, …
    Year: 2016
    Cited by: 192

  • Title: Watershed urbanization and changing flood behavior across the Los Angeles metropolitan region
    Authors: J Sheng, JP Wilson
    Year: 2009
    Cited by: 190

  • Title: China’s improving inland surface water quality since 2003
    Authors: T Ma, N Zhao, Y Ni, J Yi, JP Wilson, L He, Y Du, …
    Year: 2020
    Cited by: 185

  • Title: The Handbook of Geographic Information Science
    Authors: JP Wilson, AS Fotheringham
    Year: 2008
    Cited by: 164

  • Title: Use of terrain variables for mapping gully erosion susceptibility in Lebanon
    Authors: RB Kheir, J Wilson, Y Deng
    Year: 2007
    Cited by: 149

  • Title: An effective and efficient approach for manually improving geocoded data
    Authors: DW Goldberg, JP Wilson, CA Knoblock, B Ritz, MG Cockburn
    Year: 2008
    Cited by: 143

Wenfeng Du | Structural Generation Design | Best Researcher Award

Published on by Computer Vision Awards

Prof. Dr. Wenfeng Du | Structural Generation Design | Best Researcher Award

Director at Henan University, China

Dr. Wenfeng Du is a distinguished professor and a leading researcher in structural engineering, with expertise in intelligent design, large-span spatial structures, and 3D printing manufacturing. He is currently a faculty member at Henan University, where he also leads several research institutes and technology innovation platforms. With over 180 publications, 80 patents, and multiple academic books, his work bridges the gap between theoretical innovation and practical application. Dr. Du integrates artificial intelligence, topology optimization, and prefabricated construction methods to create smarter, more sustainable engineering solutions. His commitment to interdisciplinary collaboration and academic leadership has positioned him at the forefront of structural design research in China and beyond. In addition to his scientific achievements, he is also recognized for his excellence in teaching and mentorship, having received multiple awards for his educational contributions. His work continues to influence both academic research and the construction industry at large.

Professional Profile 

Education🎓

Dr. Wenfeng Du holds a Ph.D. in Structural Engineering from Zhejiang University, which he earned in 2007. Prior to that, he completed both his Master’s and Bachelor’s degrees in Civil Engineering, also at Zhejiang University, one of China’s most prestigious institutions. His doctoral research focused on the mechanical performance and design optimization of large-span steel structures, laying a solid foundation for his future academic pursuits. To further broaden his academic exposure and international perspective, he served as a visiting scholar at the University of Alabama in the United States in 2014. This experience enriched his research methodologies and fostered interdisciplinary collaboration. Throughout his academic journey, Dr. Du has demonstrated a strong commitment to combining rigorous theoretical knowledge with practical engineering solutions, which continues to define his work. His educational background has equipped him with the technical acumen and innovative mindset required to tackle complex challenges in modern structural engineering.

Professional Experience📝

Dr. Wenfeng Du has cultivated a distinguished career as a professor, researcher, and institutional leader at Henan University. He currently serves as the Director of multiple research institutes, including the Steel and Spatial Structures Research Institute, the Intelligent Structure Team, and the Prefabricated Construction Engineering Technology Research Center. His professional roles involve managing large-scale research projects, supervising doctoral and postgraduate students, and promoting interdisciplinary innovation in structural design and construction. He has also played a pivotal role in the development and implementation of intelligent joint systems and 3D-printed shell structures. As a registered National First-Class Structural Engineer, Dr. Du contributes extensively to engineering standards and policy-making through active participation in national committees. His professional journey is marked by a balance of research excellence, academic leadership, and practical engineering application, making him a key figure in bridging the gap between academia and industry within the field of civil and structural engineering.

Research Interest🔎

Dr. Wenfeng Du’s research interests span a broad and interdisciplinary spectrum within structural engineering. His primary focus areas include large-span spatial structures, intelligent joint design, steel structures, and 3D printing-based construction. He is particularly interested in the integration of artificial intelligence with engineering design, especially through generative design and deep learning techniques. Dr. Du explores topology optimization to develop structurally efficient and lightweight components, which are essential for sustainable and cost-effective construction. His work also delves into prefabricated building systems and modular construction technologies, aiming to revolutionize how infrastructure is designed and assembled. Additionally, he is involved in smart materials, structural vibration energy harvesting, and computational modeling of shell and lattice structures. His research consistently aims to enhance structural performance, reduce resource consumption, and incorporate automation into construction processes. Through these efforts, Dr. Du seeks to redefine modern construction practices by combining advanced computation with real-world engineering applications.

Award and Honor🏆

Dr. Wenfeng Du has received numerous awards and honors recognizing his contributions to structural engineering, education, and scientific innovation. Among his most prestigious accolades is the Henan Youth Science and Technology Award, which acknowledges his pioneering work in intelligent structural systems. He has also been honored as a Smart Teaching Star and recognized as one of the Most Beautiful Teachers, reflecting his commitment to excellence in education and student mentorship. Dr. Du’s leadership and innovation have earned him significant roles in national research initiatives, and he has been selected for several provincial and municipal talent programs in Henan. His research outputs, including patents and high-impact publications, have been widely recognized by both academic and professional communities. Furthermore, he has served as a judge and reviewer for various scientific committees and journals, underlining the respect he commands among peers. These honors reflect his holistic impact on research, education, and engineering practice.

Research Skill🔬

Dr. Wenfeng Du possesses a comprehensive set of research skills that support his advanced work in structural engineering and intelligent design. He is highly proficient in topology optimization, finite element analysis (FEA), and computational modeling, which form the foundation of his work on structural performance and smart joint systems. Dr. Du is skilled in AI-based generative design, using neural networks and deep learning algorithms to automate and enhance structural form-finding and simulation. He is also adept at applying 3D printing technologies for experimental fabrication of steel joints and prefabricated components. His hands-on expertise extends to vibration analysis, energy harvesting mechanisms, and the integration of sensor-based monitoring in structural systems. Additionally, Dr. Du excels in academic writing, patent development, and collaborative research management. His ability to bridge theoretical research with practical engineering innovations underscores his role as a leading figure in the application of advanced technologies to modern civil engineering challenges.

Conclusion💡

Dr. Wenfeng Du is a highly deserving candidate for this award due to his outstanding contributions to structural engineering, particularly in the areas of intelligent design, prefabricated structures, and 3D printing manufacturing. His prolific research output, including over 180 publications, numerous patents, and leadership of cutting-edge projects, reflects his deep commitment to innovation and scientific advancement. Beyond academia, his work has significantly impacted engineering practices and sustainable construction technologies, contributing to societal progress. With a proven record of interdisciplinary research, strong mentorship, and institutional leadership, Dr. Du is well-positioned to drive future advancements at the intersection of AI and structural engineering, and to continue shaping the next generation of global engineering excellence.

Publications Top Noted✍

  • Title: Generation of innovative structural connection components using generative adversarial networks
    Year: 2025

  • Title: Robust form finding of tree-like structure by improved slime mould algorithm
    Year: 2025

  • Title: Bio-inspired clover-shaped piezoelectric energy harvester with enhanced performance for low-speed wind energy harvesting
    Year: 2025

  • Title: The Structural Configuration and Mechanical Performance of a New Cable-Supported Reciprocal Structure
    Year: 2025

  • Title: The influence of screen mesh interception device on hydrogen-oxygen explosion in closed detonation tube
    Year: 2025

  • Title: Collaborative form-finding of multiple treelike column structures based on improved numerical inverse hanging method
    Year: 2025
    Citations: 1

  • Title: Research on topology optimization of steel joints based on improved bi-directional progressive structural optimization method
    Year: 2024

  • Title: New shape optimization method for tree structures based on BP neural network
    Year: 2024
    Citations: 3

Minh-Son Dao | Deep Learning | Best Researcher Award

Published on by Computer Vision Awards

Dr. Minh-Son Dao | Deep Learning | Best Researcher Award

Researcher at The National Institute of Information and Communications Technology (NICT), Japan.

Dr. Minh-Son DAO is a distinguished Senior Researcher and Research Manager at the Big Data Integration Research Center, National Institute of Information and Communications Technology (NICT), Japan. With over two decades of research and leadership experience across academia and government, he leads cutting-edge initiatives in artificial intelligence, big data analytics, and smart IoT systems. He has played a pivotal role in Japan’s Society 5.0 vision through projects like MMCRAI and collaborative smart-city platforms. Dr. DAO is also a committed educator, serving as a thesis supervisor and adjunct lecturer across multiple international universities. His work has earned him numerous accolades, including multiple Best Challenge Awards, national recognitions, and research excellence honors. With over 100 peer-reviewed publications and international partnerships spanning Europe and Asia, he continues to bridge academic rigor with real-world impact. His current focus lies in multimodal AI frameworks and data-driven societal innovation.

Professional Profile

Suitability For Best Researcher Award – Dr. Minh-Son Dao

Dr. Minh-Son DAO exemplifies the qualities of an outstanding researcher through his sustained, interdisciplinary contributions to artificial intelligence, big data analytics, and smart IoT systems. With over 20 years of research leadership, a strong publication record (100+ peer-reviewed papers), and international collaboration across Europe and Asia, he has significantly influenced both theoretical advancements and real-world applications. His active role in Japan’s Society 5.0 vision and the development of the MMCRAI framework further underscore his commitment to data-driven societal innovation. Dr. DAO also demonstrates excellence in mentoring, editorial roles, and academic service, enriching the broader research ecosystem.

Education

Dr. Minh-Son DAO holds a Ph.D. in Information and Communications Technology from Trento University, Italy, where his research focused on similarity measures and shape matching using genetic algorithms. His doctoral dissertation introduced the Edge Potential Function (EPF), a novel contribution to shape-based image retrieval. Prior to that, he earned a Master’s degree in Computer Science from Vietnam National University, specializing in handwritten character recognition using Convolutional Neural Networks—an early demonstration of his interest in deep learning. His Bachelor’s degree, also in Computer Science from the University of HCM City, Vietnam, emphasized image processing and hypertext applications. These academic milestones laid a strong foundation in AI, machine learning, and multimedia processing, enabling him to merge theoretical knowledge with practical innovation throughout his career. His educational journey reflects a continuous pursuit of excellence across diverse computational and applied domains.

Experience

Dr. Minh-Son DAO brings over 20 years of extensive research and leadership experience across Asia and Europe. Currently, he serves as Research Manager and Senior Researcher at NICT Japan, spearheading national AI and Smart IoT initiatives. His prior roles include Deputy Director and Senior Assistant Professor at Universiti Teknologi Brunei, where he also founded the ELEDIA@UTB lab focused on smart farming and wireless technologies. He has held prestigious research roles at Trento University, Osaka University (as a JSPS Fellow), and GraphiTech Italy. He has supervised more than 40 postgraduate students, co-authored over 100 publications, and led multi-institutional projects in smart cities, multimedia analytics, and health informatics. His teaching portfolio spans creative multimedia, data science, and database systems. Known for building strong global research networks, Dr. DAO has established successful collaborations with institutions in Norway, Ireland, Vietnam, and Switzerland, playing a vital role in cross-disciplinary and cross-cultural scientific advancements.

Professional Development

Dr. Minh-Son DAO has consistently invested in professional development to enhance his academic and leadership capabilities. He completed the UTB Faculty Development Program and the Foundations of University Learning and Teaching at Universiti Teknologi Brunei, gaining proficiency in teaching pedagogy, assessment strategies, and flipped classroom techniques. He also holds Oracle certifications in SQL, PL/SQL, and web application development. His involvement as a guest editor for high-impact journals such as IEEE ACCESS, ACM TOMM, and Frontiers in Big Data, along with his participation as program committee member for numerous international conferences, highlights his role as a thought leader in multimedia, AI, and big data. Dr. DAO frequently chairs and organizes conferences and workshops, including ICMLSC, ICCRD, and MediaEval. His holistic development in research, teaching, industry consulting, and international collaboration exemplifies a well-rounded professional commitment to lifelong learning and knowledge dissemination in cutting-edge computing technologies.

Research Focus

Dr. Minh-Son DAO’s research primarily focuses on multidisciplinary applications of Artificial Intelligence, Big Data Analytics, and Smart IoT systems, aligning closely with the vision of a data-driven, intelligent society (Society 5.0). His most notable initiative, the Multimodal and Cross-modal AI Framework (MMCRAI), demonstrates his commitment to converting raw multimodal data into actionable insights across domains like environmental monitoring, health informatics, multimedia forensics, and smart cities. He has applied his research to real-world challenges such as air pollution prediction, disaster management, and cheapfake detection. His work spans from foundational AI techniques to practical societal applications, including the integration of sensor networks, robotics, and citizen-driven data platforms. Through collaborative international projects, he explores the intersections between cyber-physical-social systems, smart urban planning, and sustainable development. This focus enables him to address complex problems with scalable, intelligent solutions that impact public health, education, urban resilience, and digital media integrity.

Research Skills

Dr. Minh-Son DAO possesses a comprehensive suite of research skills that bridge theoretical and applied domains. He is proficient in machine learning, deep learning, multimedia retrieval, and big data analytics, often applying these in cross-modal and multimodal AI frameworks. His technical abilities include programming in C++, R, SQL, HTML/JavaScript, and Python, and working with AI tools such as TensorFlow and Keras. Dr. DAO’s expertise spans data fusion, smart sensor integration, pattern recognition, event detection, and AI-based forecasting models, enabling him to tackle large-scale and heterogeneous data sources. Additionally, he has extensive experience in research project management, proposal writing, international collaboration, and supervising graduate students. His editorial and peer-review roles in IEEE, Springer, and Elsevier journals further reflect his analytical and evaluative skill set. These capabilities have allowed him to lead multi-disciplinary teams and create impactful AI-driven solutions for urban management, environmental monitoring, and personalized health analytics.

Awards and Honors

Dr. Minh-Son DAO has received numerous national and international awards recognizing his research excellence and innovation. Notably, he won the Best Challenge Awards at ICMR 2023 and ACM MM 2022 for his groundbreaking work in cheap fake detection. He was honored with the Excellent Performance Award by Japan’s NICT in 2022, reflecting his leadership in national projects. Earlier, he earned first-place awards at prestigious competitions such as image CLEF 2018 and Media Eval 2017 for his contributions to multimedia understanding and disaster response. He received the Research Excellence Mid-Career Academic Award from University Technology Brunei in 2017. His early career was marked by competitive international fellowships, including the JSPS International Fellowship (Japan) and ERCIM Fellowship (Europe), and he was awarded Vietnam’s highest youth scientific honor, the Creative Youth Medal. These accolades affirm his sustained contributions to AI, data science, and societal innovation across multiple countries and disciplines.

Conclusion

Dr. Minh-Son DAO’s profile aligns exceptionally well with the criteria for a Best Researcher Award. His work bridges high-impact research, global collaboration, and societal benefit. His innovations in AI and multimodal systems, combined with his leadership in international research initiatives and dedication to mentorship, make him a deserving candidate. His recognition through prestigious awards and fellowships across continents further validates his global research excellence.

Publication Top Notes

1. Deep learning for mobile multimedia: A survey

  • Authors: K Ota, MS Dao, V Mezaris, FGBD Natale

  • Journal: ACM Transactions on Multimedia Computing, Communications, and Applications

  • Cited by: 188

  • Year: 2017

Summary:
This comprehensive survey explores how deep learning techniques have been adapted and optimized for mobile multimedia applications. It covers both theoretical advancements and practical implementation challenges. The paper also discusses energy efficiency and processing limitations of mobile devices. It has become a foundational reference in mobile multimedia research.

2. Exploring convolutional neural network architectures for EEG feature extraction

  • Authors: I Rakhmatulin, MS Dao, A Nassibi, D Mandic

  • Journal: Sensors, Vol. 24(3), Article 877

  • Cited by: 62

  • Year: 2024

Summary:
This paper investigates CNN-based methods for extracting features from EEG signals, a key step in brain-computer interface development. Multiple CNN architectures are compared for performance and accuracy. The study demonstrates significant improvement in signal interpretation. It contributes to the emerging field of AI-powered neuro technology.

3. Daily human activities recognition using heterogeneous sensors from smartphones

  • Authors: MS Dao, TA Nguyen-Gia, VC Mai

  • Journal: Procedia Computer Science, Vol. 111, pp. 323–328

  • Cited by: 34

  • Year: 2017

Summary:
The paper presents a method for recognizing daily human activities using various smartphone sensors. It highlights sensor fusion techniques to improve detection accuracy. The approach is lightweight and suitable for real-time implementation. It holds potential for fitness, health, and smart environment applications.

4. A real-time complex event discovery platform for cyber-physical-social systems

  • Authors: MS Dao, S Pongpaichet, L Jalali, K Kim, R Jain, K Zettsu

  • Conference: International Conference on Multimedia Retrieval

  • Cited by: 34

  • Year: 2014

Summary:
This work proposes a real-time platform for discovering complex events from integrated cyber, physical, and social sources. It focuses on fusing multi-modal data streams for event detection. The platform is designed for smart city and situational awareness applications. It bridges the gap between social sensing and real-time analytics.

5. Edge potential functions (EPF) and genetic algorithms (GA) for edge-based matching of visual objects

  • Authors: MS Dao, FGB De Natale, A Massa

  • Journal: IEEE Transactions on Multimedia, Vol. 9(1), pp. 120–135

  • Cited by: 33

  • Year: 2006

Summary:
This paper introduces edge potential functions (EPF) combined with genetic algorithms for visual object matching. It enhances robustness in noisy or occluded conditions. The method shows improvements in object recognition performance. It contributes foundational techniques for multimedia and computer vision systems.