Jong-Hyun Kim | Applied Visual Computing | Best Researcher Award

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Prof. Jong-Hyun Kim | Applied Visual Computing | Best Researcher Award

Associate Professor at Inha University, South Korea

Prof. Jong-Hyun Kim is an Associate Professor at the College of Software and Convergence, Department of Artificial Intelligence, Design Technology at Inha University, with a joint appointment at the Graduate School of Electrical and Computer Engineering. He is a distinguished researcher with expertise spanning computer graphics, visual effects, physically based simulation, physics engines, artificial intelligence, VR/AR, geometry processing, and GPU optimization. His career bridges academia and industry, having led and participated in numerous national research projects and industry collaborations in areas such as digital twin technology, immersive simulation systems, and AI convergence. With an impressive record of award-winning publications in reputed conferences and journals indexed in IEEE and Scopus, he has contributed significantly to advancing emerging technologies. His leadership in collaborative initiatives and dedication to innovative research continue to strengthen his impact on both scientific communities and practical applications.

Professional Profile 

ORCID Profile

Education

Prof. Jong-Hyun Kim completed his Ph.D. in Computer Science and Engineering from Korea University, following his master’s degree and bachelor’s degree in the same field from Korea University and Sejong University, respectively. His academic journey reflects a strong foundation in both theoretical and applied aspects of computer science, equipping him with advanced skills in simulation, visualization, and artificial intelligence. His studies covered a broad spectrum of technical disciplines, from physics-based modeling and geometry processing to interactive graphics and human-computer interaction. The rigorous academic training at prestigious institutions provided him with the expertise to excel in interdisciplinary research and to address complex computational challenges. This solid educational background has enabled him to integrate advanced computing techniques with creative technological solutions, laying the groundwork for his influential research contributions in academia and his ability to collaborate effectively with industry partners on innovative projects.

Professional Experience

Prof. Jong-Hyun Kim currently serves as an Associate Professor at Inha University, having previously held the same position at Kangnam University. He has also served as a lecturer and teaching fellow at Korea University, contributing to the development of academic programs and mentoring students in advanced computing topics. Before his academic career, he worked extensively in the industry as a senior research engineer and research engineer at multiple companies, gaining hands-on experience in simulation technologies, visual effects, and interactive systems. His professional trajectory reflects a balance between academic scholarship and practical application, with roles that involved designing innovative solutions, leading research teams, and collaborating on both government-funded and industry-driven projects. His combined academic and industrial experience has strengthened his expertise in bridging theoretical research with real-world implementation, enhancing his ability to deliver impactful outcomes in both educational and technological domains.

Research Interest

Prof. Jong-Hyun Kim’s research interests cover a broad and interdisciplinary range of topics, including computer graphics, visual effects, physically based simulation, physics engines, and game physics. He actively explores artificial intelligence techniques for scientific visualization, geometry processing, image processing, and immersive VR/AR experiences. His work often focuses on GPU optimization to achieve real-time performance in complex simulations, enabling practical applications in gaming, virtual reality, and industrial simulations. Additionally, he is interested in human-computer interaction, particularly in developing intuitive interfaces for creative expression and realistic virtual environments. His projects integrate physics-based modeling with AI-driven approaches to address challenges in simulation accuracy, interactivity, and scalability. By combining deep technical expertise with creativity, his research aims to advance the capabilities of simulation and visualization technologies, making them more efficient, accessible, and adaptable for diverse fields ranging from entertainment and education to engineering and healthcare.

Award and Honor

Prof. Jong-Hyun Kim has received numerous awards and honors recognizing his excellence in research, innovation, and academic contributions. His accolades include multiple Best Paper Awards from prestigious conferences such as those organized by the Korea Society of Computer and Information and the Korean Association of Data Science, acknowledging his groundbreaking work in simulations, VR frameworks, AI-driven modeling, and GPU optimization. He has been honored by the Ministry of Science and ICT and the Korean Ministry of Education for his creative and impactful research ideas. His achievements extend beyond academia, with awards recognizing his leadership in industry-academic cooperation and excellence in teaching. These recognitions reflect his sustained contributions to advancing cutting-edge technologies, fostering collaboration between academia and industry, and mentoring future innovators. His consistent recognition at national and professional levels underscores his influence in both research and education, and his ongoing commitment to delivering impactful technological advancements.

Research Skill

Prof. Jong-Hyun Kim possesses advanced research skills in multiple technical domains, including physically based simulation, visual effects, GPU optimization, and complex animation systems. He is proficient in designing real-time interactive environments, implementing physics engines, and integrating artificial intelligence into simulation and visualization frameworks. His expertise includes scientific visualization, geometry processing, VR/AR development, and image processing, enabling him to create innovative solutions that merge creativity with computational precision. He has extensive experience managing large-scale research projects funded by national agencies and industry partners, demonstrating strong project management, team leadership, and cross-disciplinary collaboration skills. His technical abilities are complemented by his capacity to translate theoretical models into practical applications across entertainment, engineering, and scientific research. By combining analytical thinking, problem-solving, and creative design, he continues to push the boundaries of simulation and visualization technologies, contributing significantly to both academic advancements and industry innovation.

Publications Top Notes

Title: A Geometric Approach to Efficient Modeling and Rendering of Opaque Ice With Directional Air Bubbles
Authors: Jong-Hyun Kim
Year: 2025

Title: Advanced GPU Techniques for Dynamic Remeshing and Self-Collision Handling in Real-Time Cloth Tearing
Authors: Jong-Hyun Kim; Jung Lee
Year: 2025

Title: Improved Air Mesh Refinement for Accurate Strand-Solid and Self-Collision Handling
Authors: Jong-Hyun Kim
Year: 2025

Title: Neural Network-Based Projective Grid Model for Learning Representation of Surface and Wave Foams
Authors: Jong-Hyun Kim
Year: 2025

Title: Porous Models for Enhanced Representation of Saturated Curly Hairs: Simulation and Learning
Authors: Jong-Hyun Kim; Jung Lee
Year: 2025

Title: A 3D Visual Tool for Analyzing Changes in Hair Volume and Length Caused by Medications
Authors: Jong‐Hyun Kim; Jung Lee; Seungbin Kwon; Minji Jo; Yunjin Hwang; In‐Sook An
Year: 2025

Title: Numerical Dispersed Flow Simulation of Fire-Flake Particle Dynamics and Its Learning Representation
Authors: Jong-Hyun Kim; Jung Lee
Year: 2025

Title: Unified GPU Framework for Simulating Wave Turbulence, Diffusion, and Wrinkling in Fluid-Cloth Interaction
Authors: Eun Su Park; Juyong Lee; In Kyu Park; Jong-Hyun Kim
Year: 2025

Title: Scalable and Rapid Nearest Neighbor Particle Search Using Adaptive Disk Sector
Authors: Jong-Hyun Kim; Shaofeng Xu; Jung Lee
Year: 2025

Title: Depth-of-Field Region Detection and Recognition From a Single Image Using Adaptively Sampled Learning Representation
Authors: Jong-Hyun Kim; Youngbin Kim
Year: 2024

Title: Motion Generation and Analyzing the User’s Arm Muscles via Leap Motion and Its Data-Driven Representations
Authors: Jong-Hyun Kim; Jung Lee; Youngbin Kim
Year: 2024

Title: Visualization of Vector Fields from Density Data Using Moving Least Squares Based on Monte Carlo Method
Authors: Jong-Hyun Kim
Year: 2024

Title: Isoline Tracking in Particle-Based Fluids Using Level-Set Learning Representation
Authors: Jun Yeong Kim; Chang Geun Song; Jung Lee; Jong-Hyun Kim; Jong Wan Lee; Sun-Jeong Kim
Year: 2024

Title: Efficient and Stable Generation of High-Resolution Hair and Fur With ConvNet Using Adaptive Strand Geometry Images
Authors: Jong-Hyun Kim; Jung Lee
Year: 2023

Conclusion

Prof. Jong-Hyun Kim is highly deserving of the Best Researcher Award for his outstanding contributions to cutting-edge research in computer graphics, AI-driven simulation, and immersive technologies, as well as his significant role in bridging academia and industry through impactful collaborative projects. His innovative work has advanced both scientific understanding and practical applications, benefiting diverse sectors and inspiring the next generation of researchers. With a proven track record of excellence, leadership, and innovation, he holds strong potential to make even greater contributions to research and society in the future.

Xiuyuan Chen | 3D reconstruction | Best Researcher Award

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Dr. Xiuyuan Chen | 3D reconstruction | Best Researcher Award

Surgeon at Peking University People’s Hospital, China

Dr. Xiuyuan Chen is an accomplished thoracic surgeon and researcher specializing in minimally invasive thoracic surgery, precision resection of early-stage lung cancer, and perioperative multidisciplinary treatment of locally advanced lung cancer. His innovative research integrates artificial intelligence into surgical navigation systems, aiming to improve precision and patient outcomes. With an MD in Surgery from Peking University and postdoctoral training in oncology at the University of Michigan, he has built a strong foundation in both clinical expertise and cutting-edge research. Dr. Chen has secured competitive funding, including the National Natural Science Foundation of China Youth Fund, and has contributed to China’s “New Generation Artificial Intelligence” initiative. His publications in high-impact journals such as Frontiers in Oncology, Thoracic Cancer, and Autophagy have gained international recognition. Actively involved in professional organizations, he is committed to advancing thoracic surgery through innovation, collaboration, and clinical application, making significant contributions to both academic research and patient care.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Xiuyuan Chen earned his MD in Surgery from Peking University, where he developed a strong foundation in clinical medicine and surgical techniques. He later advanced his expertise through a postdoctoral fellowship in oncology at the University of Michigan, gaining exposure to global research methodologies and cutting-edge cancer treatments. His interest in integrating technology into healthcare led him to pursue additional training in artificial intelligence and data science through specialized programs such as the Deep Learning Nanodegree from Udacity and courses in machine learning and data analysis from Coursera and the University of Michigan. This combination of clinical and technological education has allowed him to bridge the gap between surgery and AI-based innovations. His multidisciplinary academic background not only strengthened his surgical skills but also equipped him with the ability to design and implement AI-assisted tools for thoracic surgery, positioning him at the forefront of modern medical research and innovation.

Professional Experience

Dr. Xiuyuan Chen currently serves as Associate Professor and Senior Attending in the Department of Thoracic Surgery at Peking University People’s Hospital, where he performs complex thoracic surgeries and leads research initiatives. His professional journey began as a resident in the same department, later advancing to chief resident and attending physician roles. He also completed a postdoctoral fellowship at the University of Michigan Rogel Cancer Center, where he engaged in oncology research with an emphasis on translational medicine. Over the years, he has participated in key national and international research projects, including collaborations between Michigan Medicine and Peking University. His work spans both patient care and advanced research, integrating surgical precision with AI-assisted decision-making. Dr. Chen’s professional career reflects a balance of clinical excellence, academic leadership, and collaborative research, enabling him to make impactful contributions to both healthcare practice and the development of innovative surgical technologies.

Research Interest

Dr. Xiuyuan Chen’s research interests lie at the intersection of thoracic surgery, oncology, and artificial intelligence. He focuses on developing AI-assisted surgical planning systems and multi-dimensional integrated surgical navigation tools that enhance precision in lung cancer surgeries. His work also explores the use of advanced imaging algorithms for anatomical mapping and the integration of deep learning techniques to predict surgical outcomes. Additionally, he is interested in the application of targeted therapy, immunotherapy, and chemotherapy in perioperative management for locally advanced lung cancer. Dr. Chen aims to bridge the gap between medical technology and clinical application, ensuring that innovations directly translate to improved patient care. He is committed to multidisciplinary research that combines data science, biomedical engineering, and surgery, while also contributing to national initiatives in AI for healthcare. His vision is to create intelligent surgical systems that can standardize complex procedures and optimize treatment strategies for thoracic oncology patients.

Award and Honor

Dr. Xiuyuan Chen has received recognition for his innovative contributions to thoracic surgery and oncology research. He was awarded the prestigious National Natural Science Foundation of China Youth Fund for his study on circular RNA mechanisms in lung cancer. As a key researcher in China’s “New Generation Artificial Intelligence” major project under the Science and Technology Innovation 2030 initiative, he has contributed to the development of AI-driven solutions in surgical navigation. His research collaborations with Michigan Medicine have also earned acknowledgment for advancing translational cancer research. In addition to funded projects, Dr. Chen’s publications in internationally recognized journals have been cited widely, reflecting the academic and clinical value of his work. His active involvement in professional societies, such as the International Association for the Study of Lung Cancer and the Society of Thoracic Surgeons, further demonstrates his leadership in the field. These honors reflect his dedication to advancing science and improving patient care.

Research Skill

Dr. Xiuyuan Chen possesses a diverse set of research skills that combine clinical expertise with technological innovation. His proficiency in thoracic surgery is complemented by advanced capabilities in artificial intelligence applications for medical imaging and surgical planning. He is skilled in developing and applying deep learning algorithms for anatomical segmentation and 3D reconstruction in lung cancer surgery. His expertise extends to designing translational research studies that integrate laboratory findings with clinical applications, particularly in targeted therapy, immunotherapy, and molecular oncology. Dr. Chen has experience managing multidisciplinary research teams, securing competitive grants, and conducting collaborative studies across institutions and countries. He is adept at data analysis, statistical modeling, and interpretation of complex biomedical datasets. His ability to merge AI-driven solutions with surgical precision positions him as a leader in next-generation surgical innovations, with the skills to drive impactful research that advances both academic knowledge and patient treatment outcomes.

Publications Top Notes

Title: Artificial intelligence driven 3D reconstruction for enhanced lung surgery planning
Authors: X Chen, C Dai, M Peng, D Wang, X Sui, L Duan, X Wang, X Wang, …
Year: 2025
Citation: 1

Title: Deep learning algorithm for automatic prediction of visceral pleural invasion of lung cancer based on surgical video
Authors: H Xu, W Mu, R Zou, C Cao, Z Sun, S Cheng, T Guan, H Li, X Chen, …
Year: 2023
Citation: 1

Title: An atlas of anatomical variants of subsegmental pulmonary arteries and recognition error analysis
Authors: H Xu, H Zhao, J Jin, J Geng, C Sun, D Wang, N Hong, F Yang, X Chen
Year: 2023
Citation: 8

Title: Circular RNA, circular RARS, promotes aerobic glycolysis of non‐small‐cell lung cancer by binding with LDHA
Authors: H Li, Q Huang, H Guo, X Chen, X Li, M Qiu
Year: 2023
Citation: 7

Title: AI-based chest CT semantic segmentation algorithm enables semi-automated lung cancer surgery planning by recognizing anatomical variants of pulmonary vessels
Authors: X Chen, H Xu, Q Qi, C Sun, J Jin, H Zhao, X Wang, W Weng, S Wang, …
Year: 2022
Citation: 16

Title: A fully automated noncontrast CT 3‐D reconstruction algorithm enabled accurate anatomical demonstration for lung segmentectomy
Authors: X Chen, Z Wang, Q Qi, K Zhang, X Sui, X Wang, W Weng, S Wang, …
Year: 2022
Citation: 27

Title: Total nodule number as an independent prognostic factor in resected stage III non-small cell lung cancer: a deep learning-powered study
Authors: X Chen, Q Qi, Z Sun, D Wang, J Sun, W Tan, X Liu, T Liu, N Hong, F Yang
Year: 2022
Citation: 7

Title: Lung cancer organoids analyzed on microwell arrays predict drug responses of patients within a week
Authors: Y Hu, X Sui, F Song, Y Li, K Li, Z Chen, F Yang, X Chen, Y Zhang, X Wang, …
Year: 2021
Citation: 237

Title: Circular RNA circHIPK3 modulates autophagy via MIR124-3p-STAT3-PRKAA/AMPKα signaling in STK11 mutant lung cancer
Authors: X Chen, R Mao, W Su, X Yang, Q Geng, C Guo, Z Wang, J Wang, …
Year: 2020
Citation: 287

Title: Validation of a serum 4-microRNA signature for the detection of lung cancer
Authors: X Yang, W Su, X Chen, Q Geng, J Zhai, H Shan, C Guo, Z Wang, H Fu, …
Year: 2019
Citation: 19

Title: High throughput scaffold-based 3D micro-tumor array for efficient drug screening and chemosensitivity testing
Authors: X Yan, L Zhou, Z Wu, X Wang, X Chen, F Yang, Y Guo, M Wu, Y Chen, …
Year: 2019
Citation: 78

Title: Silencing of long noncoding RNA MIR22HG triggers cell survival/death signaling via oncogenes YBX1, MET, and p21 in lung cancer
Authors: W Su, S Feng, X Chen, X Yang, R Mao, C Guo, Z Wang, DG Thomas, …
Year: 2018
Citation: 154

Title: The identification of sub-centimetre nodules by near-infrared fluorescence thoracoscopic systems in pulmonary resection surgeries
Authors: Y Mao, C Chi, F Yang, J Zhou, K He, H Li, X Chen, J Ye, J Wang, J Tian
Year: 2017
Citation: 50

Title: Comparison between sublobar resection and lobectomy for the surgical treatment of elderly patients with early stage non-small-cell lung cancer (STEPS): an open label …
Authors: F Yang, X Sui, X Chen, J Wang
Year: 2017
Citation: 1

Title: Overexpression of LINC00152 correlates with poor patient survival and knockdown impairs cell proliferation in lung cancer
Authors: S Feng, J Zhang, W Su, S Bai, L Xiao, X Chen, J Lin, RM Reddy, …
Year: 2017
Citation: 41

Conclusion

Dr. Chen is a deserving candidate for the Best Researcher Award due to his exceptional contributions in advancing thoracic surgery through innovative AI-assisted techniques and multidisciplinary cancer treatment approaches. His research has significantly impacted both clinical practice and patient outcomes, with strong evidence of leadership in funded projects and influential publications. With his dedication to translational medicine, commitment to improving surgical precision, and potential to lead groundbreaking international collaborations, he is poised to make even greater contributions to research and society in the future.

Xiaodong Zhang | Healthcare Applications | Best Researcher Award

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Prof. Xiaodong Zhang | Healthcare Applications | Best Researcher Award

Professor at Anhui Agricultural University, China

Prof. Xiaodong Zhang is a distinguished academic and researcher in the field of animal genetics, breeding, and reproduction, with a special focus on porcine reproduction and molecular breeding. Over his career, he has contributed significantly to advancing livestock genetics through innovative research, impactful publications, and leadership in major funded projects. His expertise spans molecular biology, transcriptomics, proteomics, and bioinformatics, enabling him to address critical challenges in animal science. As a professor at the College of Animal Science and Technology, Anhui Agricultural University, he has played a key role in guiding students and integrating research outcomes into academic curricula. His work has been published in several internationally recognized journals, and he has received multiple awards for scientific and technological progress. With a proven track record in research and teaching, he continues to contribute to scientific advancements while aiming to expand his global collaborations and enhance the practical applications of his research.

Professional Profile 

Google Scholar 

Education

Prof. Xiaodong Zhang pursued his academic journey in animal genetics, breeding, and reproduction at Anhui Agricultural University, where he completed his Bachelor of Science in Animal Science, followed by a Master of Science in Animal Genetics, Breeding, and Reproduction. He then earned his Ph.D. in the same field, focusing on advanced research techniques and genetic improvement strategies in livestock, particularly swine. His education provided him with a strong foundation in animal physiology, molecular biology, bioinformatics, and breeding technologies. During his postgraduate studies, he was involved in several research projects, gaining hands-on experience in laboratory techniques, data analysis, and experimental design. This academic training not only equipped him with technical expertise but also fostered his ability to lead research teams and develop innovative solutions for challenges in animal science. His consistent academic performance and recognition through scholarships further highlighted his dedication to academic excellence and his potential as a leading researcher.

Professional Experience

Prof. Xiaodong Zhang has built an impressive academic career at the College of Animal Science and Technology, Anhui Agricultural University. He began as a lecturer, where he developed and delivered courses in swine science and bioinformatics, inspiring undergraduate students with practical and research-based learning. He later advanced to associate professor, taking on more responsibilities in research leadership, graduate student supervision, and curriculum development. His expertise and contributions eventually led to his appointment as a full professor, where he continues to lead research projects, publish high-impact studies, and mentor the next generation of scientists. Throughout his career, he has managed national and provincial research projects, secured competitive grants, and established productive collaborations. His role also involves enhancing the integration of research findings into industry practices, thereby benefiting the agricultural sector. His steady career progression reflects his academic leadership, commitment to excellence, and sustained contributions to both education and scientific research.

Research Interest

Prof. Xiaodong Zhang’s research interests lie primarily in the regulation of porcine reproduction and growth, as well as molecular genetics and breeding of swine. He is deeply engaged in understanding the genetic mechanisms that influence reproductive traits, litter size, and overall productivity in pigs. His work incorporates advanced molecular biology techniques, including transcriptomic and proteomic analyses, to identify key genes, microRNAs, and non-coding RNAs involved in reproductive processes. He is also interested in applying bioinformatics tools to interpret large-scale genomic and transcriptomic data, facilitating targeted breeding strategies and genetic improvement programs. Beyond swine genetics, his research contributes to broader agricultural goals by improving livestock productivity, sustainability, and genetic diversity. His findings have practical implications for breeding programs, helping optimize genetic traits for commercial farming. His dedication to both fundamental and applied research ensures that his work supports academic advancements while directly benefiting the livestock industry.

Award and Honor

Prof. Xiaodong Zhang has been recognized with numerous awards for his outstanding contributions to research, teaching, and technological innovation. His achievements include the First Prize of Scientific and Technological Progress of Anhui Province as the second awardee, the Third Prize of Scientific and Technological Progress of Anhui Province as the first awardee, and the Second Prize of Scientific and Technological Progress of Hefei City. In addition, he has been honored with a teaching competition award for young teachers at Anhui Agricultural University and received the prestigious national doctoral scholarship in recognition of his academic excellence. These accolades reflect not only his research capabilities but also his dedication to education and the application of scientific findings to real-world agricultural challenges. His consistent recognition at provincial and national levels underscores his role as a leading contributor to the advancement of animal genetics and breeding, further establishing his reputation in the academic community.

Research Skill

Prof. Xiaodong Zhang possesses a diverse set of research skills that span molecular biology, animal genetics, bioinformatics, and reproductive physiology. He is proficient in designing and conducting experiments involving transcriptomics, proteomics, and RNA sequencing to explore genetic and molecular mechanisms in livestock. His expertise includes the identification and functional analysis of microRNAs, non-coding RNAs, and gene expression profiles related to reproductive traits in pigs. He is skilled in data processing, statistical analysis, and the use of bioinformatics tools to interpret complex genomic datasets. In addition, he has extensive experience in managing research projects, securing funding, and leading collaborative teams. His ability to integrate laboratory findings with practical breeding programs demonstrates his strength in applied research. With a strong publication record as a corresponding author in international journals, he has proven his capability to produce impactful scientific outcomes that advance both academic understanding and industry practices in animal science.

Publications Top Notes

Title: Phonon density of states measured by inelastic nuclear resonant scattering
Authors: W Sturhahn, TS Toellner, EE Alp, X Zhang, M Ando, Y Yoda, S Kikuta, …
Year: 1995
Citation: 560

Title: Ultrasmall glutathione-protected gold nanoclusters as next generation radiotherapy sensitizers with high tumor uptake and high renal clearance
Authors: XD Zhang, Z Luo, J Chen, S Song, X Yuan, X Shen, H Wang, Y Sun, …
Year: 2015
Citation: 286

Title: Attempts to mimic docking processes of the immune system: recognition-induced formation of protein multilayers
Authors: W Müller, H Ringsdorf, E Rump, G Wildburg, X Zhang, L Angermaier, …
Year: 1993
Citation: 273

Title: Irreversible capacities of graphite in low‐temperature electrolytes for lithium‐ion batteries
Authors: MC Smart, BV Ratnakumar, S Surampudi, Y Wang, X Zhang, …
Year: 1999
Citation: 255

Title: Treatment of benign thyroid nodules: comparison of surgery with radiofrequency ablation
Authors: Y Che, S Jin, C Shi, L Wang, X Zhang, Y Li, JH Baek
Year: 2015
Citation: 224

Title: Effects of fasting on the meat quality and antioxidant defenses of market-size farmed large yellow croaker (Pseudosciaena crocea)
Authors: XD Zhang, YF Zhu, LS Cai, TX Wu
Year: 2008
Citation: 208

Title: Joint analysis of three genome-wide association studies of esophageal squamous cell carcinoma in Chinese populations
Authors: C Wu, Z Wang, X Song, XS Feng, CC Abnet, J He, N Hu, XB Zuo, W Tan, …
Year: 2014
Citation: 182

Title: Serum microRNA panel as biomarkers for early diagnosis of colorectal adenocarcinoma
Authors: G Zheng, L Du, X Yang, X Zhang, L Wang, Y Yang, J Li, C Wang
Year: 2014
Citation: 154

Title: Panchromatic observations of SN 2011dh point to a compact progenitor star
Authors: AM Soderberg, R Margutti, BA Zauderer, M Krauss, B Katz, L Chomiuk, …
Year: 2012
Citation: 146

Title: Protective effect of puerarin against beta-amyloid-induced oxidative stress in neuronal cultures from rat hippocampus: involvement of the GSK-3β/Nrf2 signaling pathway
Authors: Y Zou, B Hong, L Fan, L Zhou, Y Liu, Q Wu, X Zhang, M Dong
Year: 2013
Citation: 134

Conclusion

Prof. Xiaodong Zhang is highly deserving of the Best Researcher Award for his significant contributions to the fields of animal genetics, breeding, and reproduction, particularly in advancing knowledge on porcine reproduction and molecular breeding. His extensive research output, leadership in funded projects, and integration of scientific advancements into education have had a meaningful impact on both the academic community and the livestock industry. With his strong foundation and dedication, he is well-positioned to expand his research influence globally, foster innovative solutions for agricultural challenges, and take on greater leadership roles in advancing scientific progress and societal development.

Daesung Park | Sustainable Energy Applications | Best Researcher Award

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Assist. Prof. Dr. Daesung Park | Sustainable Energy Applications | Best Researcher Award

Assistant Professor at Technical University of Denmark, Denmark

Dr. Daesung Park is a dedicated researcher specializing in experimental solid-state physics, materials science, nanotechnology, and energy conversion. His expertise spans functional oxides, defect engineering, strain-mediated property tuning, and advanced thin-film devices for applications in sensors, MEMS, and energy-efficient electronics. He has successfully led and collaborated on prestigious international research projects funded by programs such as the Villum Young Investigator Program, EU Horizon 2020, and SNSF-Swiss, working with leading institutions including EPFL, ETH Zurich, University of Oxford, and the Max Planck Institute. His work has been published in high-impact journals such as Science, Nature, Nature Communications, Advanced Materials, and Applied Physics Reviews, earning global recognition for innovation and scientific excellence. Beyond research, he contributes to the academic community as a reviewer for top-tier journals, an organizer of international conferences, and a mentor to postgraduate students. Dr. Park’s career reflects a consistent commitment to pushing the boundaries of science and technology.

Professional Profile 

Scopus Profile | ORCID Profile 

Education

Dr. Park earned his Ph.D. in Condensed Matter Physics from the University of Warwick, focusing his doctoral research on the growth, characterization, and functionalization of wide band gap oxide alloys. His education provided a strong foundation in experimental and analytical methods for advanced materials research, which he has since applied to energy conversion and nanotechnology. Before his doctoral studies, he built a solid background in physics, equipping him with both theoretical and practical knowledge in materials science. His academic journey fostered expertise in functional oxide systems, electromechanical coupling, and defect engineering, allowing him to approach complex material challenges from a multidisciplinary perspective. This strong educational base enabled him to integrate fundamental physics with emerging applications in energy, electronics, and nanotechnology, shaping his path as an innovative and globally recognized researcher. His training also emphasized collaborative research, preparing him to lead and participate in high-level international scientific initiatives.

Professional Experience

Dr. Park is currently an Assistant Professor in the Department of Energy Conversion and Storage at the Technical University of Denmark, where he leads pioneering research on functional oxides and advanced energy devices. He has held scientific positions at EPFL in Switzerland, contributing to groups focused on ferroelectrics, electroceramic thin films, and nanoelectronic devices. His career also includes postdoctoral research in Germany at institutes associated with the Max Planck Society and Fraunhofer, as well as a research associate role at the University of Warwick. He has served as principal investigator and co-investigator on several major projects, collaborating with world-class institutions across Europe, Asia, and North America. Alongside his research, he has co-supervised multiple Ph.D. and master’s students, contributing to capacity building in his field. Dr. Park has also played active roles in organizing international conferences, participating in review panels, and fostering academic-industry collaborations to translate research into practical technologies.

Research Interest

Dr. Park’s research interests lie in the intersection of solid-state physics, materials science, nanotechnology, and energy conversion. He focuses on functional oxide materials, including defective metal oxides, ferroics, nanocomposites, and phase transition oxides, exploring their unique electromechanical, pyroelectric, ferroelectric, and magnetic properties. A key aspect of his work involves defect engineering and strain manipulation to induce or enhance functionalities such as piezoelectricity, pyroelectricity, and resistive switching in centrosymmetric materials. His research also targets device applications such as MEMS actuators, sensors, oxide-based transistors, and neuromorphic systems. He is particularly interested in freestanding oxide membranes and low-dimensional heterointerfaces for next-generation energy-efficient devices. By integrating fundamental physics with applied engineering, Dr. Park aims to bridge the gap between material discovery and real-world applications, contributing to sustainable energy technologies and advanced electronic systems. His work combines experimental synthesis, advanced characterization, and collaborative innovation with leading global research partners.

Award and Honor

Dr. Park’s work has earned recognition through prestigious research grants, competitive project leadership, and invitations to speak at major international conferences. As the recipient of the Villum Young Investigator Program funding, he has advanced pioneering studies in defect-induced symmetry breaking for high-efficiency energy conversion. His role as principal investigator in EU Horizon 2020 and SNSF-Swiss projects reflects the trust placed in his research vision and leadership. Several of his publications have been highlighted as editor’s picks, emerging leader features, or invited papers in top journals. His contributions have led to collaborations with elite institutions worldwide and participation in influential scientific committees and symposiums. He has delivered invited talks across Europe, Asia, and North America, further cementing his reputation as a thought leader in his field. These honors underscore his impact on both the scientific community and the advancement of technologies with real-world applications.

Research Skill

Dr. Park possesses a diverse set of research skills covering materials synthesis, thin-film deposition, defect engineering, and advanced characterization techniques such as synchrotron-based methods, electron microscopy, and spectroscopy. He is proficient in fabricating and testing devices including MEMS, sensors, and oxide-based transistors, translating material properties into functional prototypes. His expertise extends to the study of electromechanical coupling, ferroelectricity, pyroelectricity, ionic transport, and magnetoelectric effects. Dr. Park is skilled in collaborative research, managing multidisciplinary teams across international institutions, and securing competitive funding for ambitious scientific goals. He has substantial experience in mentoring students, coordinating multi-partner projects, and organizing high-level scientific events. His work bridges fundamental science and application-oriented engineering, ensuring a strong link between laboratory research and technological deployment. These skills, combined with his leadership capabilities and deep domain expertise, position him as a key contributor to advancing next-generation materials and devices for sustainable energy and electronics.

Publications Top Notes

Title: Quantifying the orientation dependence of diffraction contrast on magnetic STEM-DPC imaging of freestanding oxide thin films
Authors: Sivert Dagenborg; Andrea D’Alessio; Eric Brand; Nikolas Vitaliti; Alessandro Palliotto; Ingrid Hallsteinsen; Felix Trier; Dae-Sung Park; Nini Pryds; Magnus Nord
Year: 2025

Title: Defect-induced magnetic symmetry breaking in oxide materials
Authors: Eric Brand; Victor Rosendal; Yichen Wu; Thomas Tran; Alessandro Palliotto; Igor V. Maznichenko; Sergey Ostanin; Vincenzo Esposito; Arthur Ernst; Shengqiang Zhou et al.
Year: 2025

Title: On the effect of precession for magnetic differential phase contrast imaging
Authors: Gregory Nordahl; Sivert Dagenborg; Andrea D’Alessio; Eric Brand; Nikolas Vitaliti; Felix Trier; Daesung Park; Nini Pryds; Jørgen Sørhaug; Magnus Nord
Year: 2024

Title: The fabrication of freestanding complex oxide membranes: Can we avoid using water?
Authors: Dae-Sung Park; Nini Pryds
Year: 2024

Title: Tailoring dielectric permittivity of epitaxial Gd-doped CeO₂−x films by ionic defects
Authors: A Palliotto; Y Wu; A D Rata; A Herklotz; S Zhou; K Dörr; P Muralt; D-S Park
Year: 2024

Title: Twisted oxide membranes: A perspective
Authors: N. Pryds; D.-S. Park; T. S. Jespersen; S. Yun
Year: 2024

Title: Controlled Electronic and Magnetic Landscape in Self‐Assembled Complex Oxide Heterostructures
Authors: Dae‐Sung Park; Aurora Diana Rata; Rasmus Tindal Dahm; Kanghyun Chu; Yulin Gan; Igor Maznichenko; Sergey Ostanin; Felix Trier; Hionsuck Baik; Woo Seok Choi et al.
Year: 2023

Title: Engineering of Electromechanical Oxides by Symmetry Breaking
Authors: Haiwu Zhang; Milica Vasiljevic; Achilles Bergne; Dae‐Sung Park; Andrea R. Insinga; Shinhee Yun; Vincenzo Esposito; Nini Pryds
Year: 2023

Conclusion

Dr. Park is highly deserving of the Best Researcher Award for his outstanding contributions to advancing functional oxide materials, nanotechnology, and energy conversion systems, which have significantly impacted both scientific understanding and potential technological applications. His extensive publication record, successful leadership of internationally funded projects, and active mentorship demonstrate a commitment to excellence in research and capacity building. With his strong track record of innovation, global collaborations, and dedication to addressing complex challenges, he is well-positioned to continue driving groundbreaking discoveries and shaping the future of his field through impactful research and leadership.

Alexandru Dandocsi | Remote Sensing | Best Researcher Award

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Dr. Alexandru Dandocsi | Remote Sensing | Best Researcher Award 

Recognised Research at National Institute of Research and Development for Optoelectronics – INOE2000, Romania

Dr. Alexandru Marius Dandocsi is a leading researcher in atmospheric science with expertise in passive remote sensing, Earth observation, and environmental data analysis. He has worked across top institutions including the National Institute of Research and Development for Optoelectronics, the European Space Agency, and the European Commission. His work spans scientific algorithm development, satellite validation, and the integration of remote sensing data into environmental policy frameworks. He has contributed to key European initiatives such as Horizon Europe and the European Green Deal, and is a core member of ACTRIS and other global research infrastructures. Dr. Dandocsi has participated in numerous international field campaigns, workshops, and scientific conferences, showcasing both his technical skills and leadership capabilities. With an impressive list of peer-reviewed publications and collaborative projects, he stands out as a multidisciplinary scientist whose work bridges science, technology, and policy. His career reflects a strong commitment to research excellence and global environmental advancement.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Alexandru Dandocsi completed his higher education in Romania, earning his PhD in Physics from the University Politehnica of Bucharest. His doctoral research focused on passive remote sensing methods for the retrieval of atmospheric gas concentrations, using instruments such as FTIR and MAX-DOAS. His thesis, written in Romanian, explored advanced methodologies to measure gas density in the atmosphere using optical remote sensing techniques. He graduated with the highest distinction, summa cum laude, which reflects his academic excellence and deep engagement with his field. His education laid a strong foundation in both theoretical and applied aspects of atmospheric physics and satellite remote sensing. Throughout his academic journey, he developed expertise in data analysis, radiative transfer modeling, and algorithm development. His educational background has been integral to his contributions to international research projects and policy-supporting scientific assessments. Dr. Dandocsi’s academic training continues to drive his innovative work in environmental monitoring and climate science.

Professional Experience

Dr. Dandocsi’s professional experience spans over a decade in high-impact roles within leading scientific institutions in Romania and across Europe. He began his career at the National Institute of Research and Development for Optoelectronics as a junior scientist, where he developed strong technical skills in operating and analyzing data from passive remote sensing instruments. He later served as a Research Fellow at the European Space Agency, where he contributed to satellite mission support, algorithm development, and coordination of scientific activities under ESA’s atmospheric research initiatives. His appointment as a Seconded National Expert at the European Commission further solidified his influence, allowing him to shape environmental policy and research agendas in alignment with EU space and sustainability objectives. Currently, he is a Recognised Researcher continuing his scientific contributions at the national and international level. Dr. Dandocsi’s career reflects a continuous upward trajectory marked by collaboration, innovation, and service to scientific advancement and environmental governance.

Research Interest

Dr. Alexandru Dandocsi’s research interests lie at the intersection of atmospheric science, environmental monitoring, and remote sensing technology. He is particularly focused on the development and validation of retrieval algorithms for passive remote sensing instruments, such as FTIR, MAX-DOAS, and solar/lunar photometers. He actively works on the integration of satellite-based data with ground-based observations to improve the accuracy of atmospheric gas measurements and aerosol characterization. His interests extend to studying the impact of human activities on air quality and climate, including assessments of greenhouse gas emissions and aerosol dynamics. He is also involved in developing tools for the calibration and validation of satellite missions such as Sentinel-5P and Aeolus, contributing to global networks like ACTRIS and EuroGEO. His interdisciplinary work bridges environmental science, physics, and data analysis, offering valuable insights for climate policy and scientific research. His work supports initiatives such as the European Green Deal and Horizon Europe.

Award and Honor

Dr. Alexandru Dandocsi has earned recognition within the scientific community for his contributions to Earth observation and atmospheric research. These competitive and prestigious positions are granted only to highly skilled scientists with proven research excellence and cross-disciplinary collaboration experience. His role in helping shape EU research and innovation policies related to the environment further highlights the trust placed in his scientific expertise. Additionally, his invitation to present at numerous international conferences and his involvement in ESA and Horizon Europe projects underline the respect he commands in the scientific field. His publications in high-impact journals and collaborations with international networks also speak to the recognition and value of his ongoing research contributions.

Research Skill

Dr. Dandocsi possesses a broad and advanced range of research skills developed through years of experience in satellite remote sensing and atmospheric science. He is proficient in programming languages such as Python and MATLAB, which he uses extensively for data analysis, algorithm development, and modeling. His technical expertise includes operating complex ground-based instruments such as FTIR, MAX-DOAS, and sun photometers, as well as analyzing data from satellite missions like TROPOMI and Aeolus. He has experience with designing and implementing scientific field campaigns, including technical preparations and instrument deployment. Dr. Dandocsi is also skilled in the development of calibration and validation procedures for remote sensing products, quality assurance assessment of scientific data, and interpretation of multi-source environmental observations. His ability to work with large datasets, combined with his understanding of atmospheric physics, makes him highly effective in applied research. He also demonstrates strong communication, problem-solving, and teamwork skills in cross-border collaborative projects.

Publications Top Notes

Title: Quantifying CH₄ emissions from hard coal mines using mobile sun-viewing Fourier transform spectrometry
Authors: A. Luther, R. Kleinschek, L. Scheidweiler, S. Defratyka, M. Stanisavljevic, …
Year: 2019
Citations: 70

Title: Multiyear typology of long-range transported aerosols over Europe
Authors: V. Nicolae, C. Talianu, S. Andrei, B. Antonescu, D. Ene, D. Nicolae, …
Year: 2019
Citations: 28

Title: Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network
Authors: A. Luther, J. Kostinek, R. Kleinschek, S. Defratyka, M. Stanisavljević, …
Year: 2022
Citations: 27

Title: Online Chemical Characterization and Source Identification of Summer and Winter Aerosols in Măgurele, Romania
Authors: L. Mărmureanu, J. Vasilescu, J. Slowik, A.S.H. Prévôt, C.A. Marin, B. Antonescu, …
Year: 2020
Citations: 20

Title: Wintertime variations of gaseous atmospheric constituents in Bucharest peri-Urban area
Authors: C.A. Marin, L. Mărmureanu, C. Radu, A. Dandocsi, C. Stan, F. Ţoancă, …
Year: 2019
Citations: 15

Title: High potential for CH₄ emission mitigation from oil infrastructure in one of EU’s major production regions
Authors: F. Stavropoulou, K. Vinković, B. Kers, M. de Vries, S. van Heuven, P. Korbeń, …
Year: 2023
Citations: 14

Title: Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part I: Conditions, approaches, performance and new possibilities
Authors: P. Litvinov, C. Chen, O. Dubovik, L. Bindreiter, C. Matar, D. Fuertes, A. Lopatin, …
Year: 2024
Citations: 8

Title: The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations
Authors: P. Kiriakidis, A. Gkikas, G. Papangelis, T. Christoudias, J. Kushta, …
Year: 2023
Citations: 8

Title: Independent retrieval of aerosol type from lidar
Authors: D. Nicolae, J. Vasilescu, C. Talianu, A. Dandocsi
Year: 2016
Citations: 7

Title: Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part II: Global validation and Intercomparison
Authors: C. Chen, P. Litvinov, O. Dubovik, L. Bindreiter, C. Matar, D. Fuertes, A. Lopatin, …
Year: 2024
Citations: 6

Conclusion

Dr. Alexandru Marius Dandocsi is a highly deserving candidate for the Best Researcher Award due to his outstanding contributions to atmospheric science and Earth observation. His work on passive remote sensing, satellite validation, and environmental monitoring has significantly advanced scientific understanding and supported critical environmental policies at the European level. Through active participation in international research initiatives and impactful publications, he has demonstrated both academic excellence and societal relevance. With his proven expertise, collaborative mindset, and growing leadership experience, Dr. Dandocsi holds strong potential to drive future innovations and play a key role in shaping global environmental research and policy.

Ane’ Orchard | Healthcare Applications | Best Researcher Award

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Dr. Ane’ Orchard | Healthcare Applications | Best Researcher Award

Senior Lecturer at University of the Witwatersrand, South Africa

Dr. Ané Orchard is a dedicated pharmacist, academic, and senior lecturer at the University of the Witwatersrand with extensive experience in clinical pharmacy, pharmaceutical microbiology, and health sciences education. Her work bridges the gap between academic research and real-world public health outcomes, with a strong focus on probiotics, antimicrobial resistance, microbiome-linked diseases, and pharmacy education. She has led and contributed to numerous national and international research projects, demonstrating a strong commitment to advancing healthcare and education. Her ability to mentor students, lead collaborative research efforts, and publish in reputed journals highlights her as a well-rounded scholar. Recognized for her academic citizenship and public contributions, Dr. Orchard is committed to impactful and socially relevant research. Her ongoing projects and future plans reflect her dedication to driving change through scientific inquiry, collaboration, and innovation, making her a respected figure in the academic and healthcare research community.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Ané Orchard pursued her higher education in pharmacy at the University of the Witwatersrand, where she completed both her undergraduate and doctoral studies. She has received rigorous training in pharmaceutical sciences, clinical pharmacy, microbiology, and health education, equipping her with a comprehensive foundation in both theoretical and applied aspects of pharmacy. Her academic journey reflects a strong commitment to lifelong learning, with a particular focus on integrating science and healthcare for community benefit. In addition to formal degrees, she has undertaken continuous professional development to stay current with advances in pharmaceutical practice and healthcare education. Her doctoral research laid the groundwork for her current interdisciplinary studies that span clinical practice, microbiology, and public health. Through her education, she has developed the critical thinking and research skills necessary to address pressing challenges in healthcare and pharmacy education, laying a solid platform for her contributions to academia and research.

Professional Experience

Dr. Ané Orchard has built a dynamic professional career centered around academic teaching, research, and public health impact. As a senior lecturer at the University of the Witwatersrand, she has been instrumental in developing and delivering curriculum in clinical pharmacy, pharmaceutical microbiology, and health sciences education. Her responsibilities extend beyond classroom teaching to include student mentorship, supervision of postgraduate research, and academic leadership in collaborative projects. She has led multiple research initiatives aimed at improving patient outcomes and advancing pharmacy practice. Her involvement in international collaborations, such as the Una Europa – Africa Partnership, showcases her ability to work across borders and disciplines. In addition to her academic role, she contributes to institutional development by participating in quality assurance, curriculum review, and community outreach. Her professional journey reflects a strong alignment between research excellence, educational impact, and a broader vision of healthcare improvement through evidence-based practices.

Research Interest

Dr. Ané Orchard’s research interests span a broad and interdisciplinary range that includes clinical pharmacy, pharmaceutical microbiology, public health, and health sciences education. She is particularly focused on the role of probiotics, antimicrobial resistance, and microbiome-related diseases, contributing to a deeper understanding of how these elements affect patient health and therapeutic strategies. Her research also explores innovations in pharmacy education, aiming to enhance the training of future healthcare professionals through evidence-based teaching methods. Additionally, she is engaged in public health-focused studies that address community health challenges in resource-constrained environments. Her commitment to applied, socially relevant research has driven her involvement in international collaborations aimed at addressing global health concerns. Dr. Orchard continues to investigate how natural products and medicinal chemistry can be integrated into therapeutic solutions. Her interdisciplinary approach ensures that her research contributes to both scientific advancement and practical improvements in healthcare delivery and education.

Award and Honor

Dr. Ané Orchard has received several honors and awards in recognition of her academic excellence, research contributions, and public service. She was selected as one of the Mail and Guardian’s 200 Young South Africans, a prestigious recognition celebrating individuals making a significant impact in their respective fields. She has also been honored with her university’s Academic Citizenship Award, acknowledging her dedication to institutional service, student mentorship, and research excellence. Her work has received accolades at both national and international conferences, where she has earned awards for best presentations and scientific posters. These achievements reflect her ability to communicate research findings effectively and contribute meaningfully to academic discourse. Her consistent recognition is a testament to her leadership in the field of pharmacy and health sciences. Through these awards, Dr. Orchard’s influence in education, research, and public engagement is validated, and she continues to inspire peers and students alike with her dedication and professionalism.

Research Skill

Dr. Ané Orchard possesses a comprehensive set of research skills that span both qualitative and quantitative methodologies, making her well-equipped for interdisciplinary scientific inquiry. She is proficient in designing and managing clinical and laboratory-based research studies, particularly in the areas of pharmaceutical microbiology, probiotics, and public health. Her skills include advanced data analysis, statistical evaluation, systematic reviews, and scientific writing for publication in peer-reviewed journals. She is adept at research ethics compliance, proposal writing, and grant applications, reflecting her capability to lead and sustain funded research projects. Her involvement in collaborative international studies has enhanced her ability to coordinate multi-site research and contribute to cross-disciplinary innovation. Dr. Orchard is also skilled in mentoring students and junior researchers, supporting their development in academic writing, critical thinking, and experimental design. Her research competencies are continually updated through professional development, ensuring relevance and rigor in her approach to addressing health-related scientific challenges.

Publications Top Notes

Title: Commercial essential oils as potential antimicrobials to treat skin diseases
Authors: A Orchard, S van Vuuren
Year: 2017
Citations: 323

Title: The in vitro Antimicrobial Activity and Chemometric Modelling of 59 Commercial Essential Oils against Pathogens of Dermatological Relevance
Authors: A Orchard, M Sandasi, G Kamatou, A Viljoen, S van Vuuren
Year: 2017
Citations: 89

Title: The influence of carrier oils on the antimicrobial activity and cytotoxicity of essential oils
Authors: A Orchard, G Kamatou, AM Viljoen, N Patel, P Mawela, SF Vuuren
Year: 2019
Citations: 79

Title: The in vitro antimicrobial evaluation of commercial essential oils and their combinations against acne
Authors: A Orchard, SF Van Vuuren, AM Viljoen, G Kamatou
Year: 2018
Citations: 55

Title: A scoping review of African natural products against gastric ulcers and Helicobacter pylori
Authors: S Dinat, A Orchard, S Van Vuuren
Year: 2023
Citations: 38

Title: Wound pathogens: Investigating antimicrobial activity of commercial essential oil combinations against reference strains
Authors: A Orchard, A Viljoen, S van Vuuren
Year: 2018
Citations: 29

Title: Carrier oils in dermatology
Authors: A Orchard, SF van Vuuren
Year: 2019
Citations: 27

Title: Commercial essential oil combinations against topical fungal pathogens
Authors: A Orchard, SF van Vuuren, AM Viljoen
Year: 2019
Citations: 23

Title: Antimicrobial essential oil combinations to combat foot odour
Authors: A Orchard, A Viljoen, S van Vuuren
Year: 2018
Citations: 18

Title: High prevalence but lack of awareness of hypertension in South Africa, particularly among men and young adults
Authors: AJ Woodiwiss, A Orchard, CMC Mels, AS Uys, BN Nkeh-Chungag, …
Year: 2025
Citations: 13

Conclusion

Dr. Ané Orchard is a deserving candidate for the Best Researcher Award due to her impactful contributions to clinical pharmacy, pharmaceutical microbiology, and health sciences education. Her research has significantly advanced understanding in areas such as probiotics, antimicrobial resistance, and public health, while also contributing to the academic development of future healthcare professionals. Through her leadership in research projects and recognition for academic citizenship, she has demonstrated a strong commitment to both scientific excellence and societal impact. With her ongoing projects and potential for expanded interdisciplinary and international collaboration, she is well positioned for continued leadership and innovation in her field.

Xueyan Dong | Augmented Reality | Best Researcher Award

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Assist. Prof. Dr. Xueyan Dong | Augmented Reality | Best Researcher Award

Associate professor at Northwestern Polytechnical University, China

Assist. Prof. Xueyan Dong is a distinguished academic and researcher at the School of Management, Northwestern Polytechnical University. Her expertise lies in information technology management and strategic management, with a strong emphasis on IT usage behavior across multiple levels, including individual, team, and societal contexts. She has contributed significantly to understanding the digital transformation of enterprises and the impact of social media and social commerce. With extensive experience leading national and provincial research projects, she has published in high-impact journals and participated in major international conferences. Her work has been recognized through various awards for outstanding research contributions. In addition to her scholarly output, she actively engages in academic service, including peer review and evaluation roles. Her dedication to research excellence, leadership in academic projects, and contributions to both theory and practice position her as a key figure in her field with strong potential for continued impact and academic leadership.

Professional Profile 

Scopus Profile 

Education

Xueyan Dong completed her doctoral studies in Management at Harbin Institute of Technology, where she developed a strong foundation in strategic management and information systems. Her academic journey was further enriched through a joint doctoral research program at the University of British Columbia, supported by the China Scholarship Council. During her studies, she focused on the micro-level theoretical development of IT usage behavior, setting the groundwork for her future academic research. Her educational experience combined rigorous training in both quantitative and qualitative research methodologies, equipping her with the analytical skills necessary for high-level academic work. Her exposure to diverse academic environments and cross-cultural research perspectives helped her develop a broader understanding of global management practices and digital transformation challenges. Her formal education has been instrumental in shaping her ability to lead multidisciplinary research, contribute to curriculum development, and mentor graduate students in the evolving fields of digital technology and strategic enterprise management.

Professional Experience

Assist. Prof. Xueyan Dong currently serves as an associate professor and doctoral supervisor in the Department of Marketing at the School of Management, Northwestern Polytechnical University. Over the course of her academic career, she has successfully led and participated in multiple research projects funded by national foundations, ministries, and provincial governments. Her responsibilities include conducting advanced research in IT and strategic management, mentoring postgraduate students, and designing graduate-level courses. She has taken on critical roles in university-level education reform initiatives and industry-academic collaboration projects, bridging theoretical research with practical application. In addition to her teaching and research duties, she contributes to administrative and academic development tasks, including curriculum enhancement and academic evaluation processes. Her professional experience also extends to editorial and peer review work for leading academic journals and conferences, demonstrating her influence and recognition within the academic community. Her multidisciplinary involvement highlights her capacity for leadership and academic service excellence.

Research Interest

Xueyan Dong’s research interests center around information technology management, strategic management, and the behavioral aspects of digital technology usage. She is particularly focused on understanding how individuals, teams, and organizations adopt and utilize IT tools, platforms, and systems in a constantly evolving digital environment. Her work explores key themes such as social media usage, social commerce dynamics, and the broader implications of digital transformation on business operations and strategy. She is also interested in the interaction between technological innovation and organizational behavior, especially in the context of strategic decision-making and performance outcomes. Her research bridges micro-level behavior with macro-level strategic implications, creating a comprehensive framework for understanding digital enterprise transformation. Through empirical studies and theoretical modeling, she aims to provide insights that are both academically rigorous and practically relevant. Her interdisciplinary approach allows her to collaborate with scholars across domains and contribute to the growing body of knowledge in management and information systems.

Award and Honor

Assist. Prof. Xueyan Dong has received numerous awards and honors in recognition of her academic excellence and research contributions. Her achievements include a highly cited paper and multiple awards for outstanding research in social sciences at both the provincial and university levels. She has also received best paper awards at international conferences, reflecting the high quality and impact of her scholarly work. In addition to these accolades, she has been selected as a peer review expert for national research funding agencies and serves as an evaluator for the selection of top management case studies in China. These roles not only highlight her academic credibility but also her contribution to the development of research standards and quality in the broader scholarly community. Her ability to consistently produce impactful research and her involvement in academic evaluation and peer review make her a respected figure in her field. These honors reinforce her position as a leading researcher in management studies.

Research Skill

Xueyan Dong possesses a broad range of research skills that support her work in information technology and strategic management. She is proficient in both quantitative and qualitative research methodologies, including statistical analysis, structural equation modeling, survey design, and case study methods. Her ability to conduct cross-level behavioral research allows her to examine IT usage from individual to organizational scales. She is skilled in applying theoretical frameworks to real-world business problems and translating research findings into strategic recommendations. Her experience in managing large-scale national and provincial projects has equipped her with project design, data collection, and interdisciplinary collaboration skills. She also demonstrates strong academic writing and publication abilities, with success in placing research in top-tier international journals. In addition, her experience in peer reviewing and evaluating research proposals further reflects her expertise in assessing academic quality. Her well-rounded skill set enables her to lead complex research initiatives and contribute meaningfully to the academic community.

Publications Top Notes

Title: Risky roads: Unraveling used electronic vehicle resistance from the Perspective of social amplification of risk theory

Authors: (Author names not specified in your input — please provide them for completeness)

Year: 2025

Journal: Transportation Research Part F: Traffic Psychology and Behaviour

Conclusion

Assist. Prof. Xueyan Dong is highly deserving of the Best Researcher Award due to her significant contributions to the fields of information technology management and strategic management, particularly in the areas of digital transformation and IT usage behavior. Her strong research output, leadership in national and provincial projects, and recognition through high-impact publications and academic awards demonstrate a consistent commitment to advancing knowledge and societal progress. With her growing influence in academic circles, active involvement in peer review and case evaluation, and a clear vision for impactful research, she shows strong potential for future leadership and continued contributions to both academia and the broader community.

Liu Yang | Quantum Brain Computing | Best Researcher Award

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Prof. Liu Yang | Quantum Brain Computing | Best Researcher Award

Professor at School of Computer and Information Engineering, Henan University, China

Professor Yang Liu is a leading researcher in the field of Quantum Brain and Mind-inspired Computing, with an interdisciplinary focus that spans artificial intelligence, computer vision, spiking neural networks, and multimodal big data analysis. He currently serves as a professor and Ph.D. supervisor at the School of Computer and Information Engineering, Henan University, China. Over the years, he has led and contributed to more than 30 national and provincial research projects and published over 70 papers in reputed journals, alongside 11 patents and a scholarly book. His work has advanced intelligent diagnosis systems, environmental data processing, and aesthetic computing, bridging theoretical innovation and real-world application. As a member of prominent organizations like IEEE, ACM, CCF, and CAAI, Professor Liu has built a reputation for academic excellence, technological innovation, and impactful research. His leadership in brain-inspired computing continues to shape emerging trends in cognitive computing and artificial general intelligence.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Professor Yang Liu began his academic journey with a Bachelor of Science degree from Changchun University of Science and Technology. He later pursued advanced studies at Henan University, where he earned his Master’s degree and subsequently completed his Ph.D. in Computer Science. His doctoral research laid the groundwork for his later contributions to brain-inspired computing and artificial intelligence. The focus of his academic training has been consistently aligned with high-impact areas such as neural computing, multimodal learning, and cognitive systems. His education at Henan University not only provided him with technical expertise but also positioned him within China’s evolving landscape of intelligent systems research. Throughout his academic development, Professor Liu has maintained a strong commitment to interdisciplinary learning, integrating principles from neuroscience, computer engineering, and information science, which now serve as the foundation for his work in both theoretical research and applied technological innovation.

Professional Experience

Professor Yang Liu has accumulated over two decades of professional experience in academia and research. He is currently a full professor and Ph.D. supervisor at the School of Computer and Information Engineering at Henan University, China. In this role, he leads the Brain-inspired Intelligence Science and Technology Innovative Team, overseeing cutting-edge research in quantum brain-inspired computing and large-scale multimodal systems. Over the years, he has successfully managed over 30 scientific projects at the national and provincial levels, including those funded by the National Natural Science Foundation of China and the National Civil Space Infrastructure. He has also played a vital role in national Earth observation initiatives and various cross-disciplinary projects involving remote sensing, medical image analysis, and intelligent systems. In addition to research and teaching, Professor Liu mentors graduate students and contributes to curriculum development, demonstrating his strong leadership and commitment to academic growth and interdisciplinary collaboration.

Research Interest

Professor Yang Liu’s research interests lie at the intersection of brain-inspired computing, artificial intelligence, and multimodal big data processing. A major focus of his work is on Quantum Brain and Mind-inspired Computing (QBMC), a novel theoretical framework that integrates cognitive neuroscience with advanced neural network architectures. His interests also include spiking neural networks, cross-modal recognition, remote sensing intelligence, and the design of algorithms for aesthetic and semantic computing. He explores how neural mechanisms can be simulated and applied in computational models for intelligent diagnosis, environmental monitoring, and decision-making systems. His research spans both theoretical development and system-level implementation, particularly in the analysis of spatiotemporal big data and hyperspectral image classification. Professor Liu is also actively involved in applying AI to fields like healthcare, where he works on developing models for the intelligent diagnosis of mental and neurological disorders. His research aims to bring cognitive intelligence closer to real-world usability and application.

Award and Honor

Professor Yang Liu has earned multiple accolades throughout his academic career, reflecting his impactful contributions to research and innovation. He has served as the Principal Investigator of several high-profile projects funded by the National Natural Science Foundation of China and national Earth observation programs. He has been recognized for his excellence in research through leadership roles and inclusion in prestigious innovation teams, such as the Brain-inspired Intelligence Science and Technology Innovative Team. His publications in leading journals, patents, and research outputs have received commendation at both institutional and national levels. He is also a respected member of global scientific organizations such as IEEE, ACM, CCF, and CAAI, which acknowledges his contributions to the advancement of intelligent systems and computer science. These recognitions highlight his academic excellence, leadership capabilities, and commitment to addressing global challenges through innovative research in AI and cognitive computing.

Research Skill

Professor Yang Liu possesses a robust set of research skills that span theoretical modeling, algorithm development, data analysis, and interdisciplinary integration. His expertise in Quantum Brain and Mind-inspired Computing equips him with the ability to design complex neural models inspired by human cognition. He is highly proficient in developing and implementing spiking neural networks, cross-modal learning algorithms, and neural cognitive computing systems. His skills extend to remote sensing data analysis, aesthetic computing, and hyperspectral image processing using advanced AI methods. With hands-on experience in managing multimodal big data and leading AI-driven applications in healthcare and environmental science, Professor Liu combines domain knowledge with technical rigor. He is adept in MATLAB, Python, TensorFlow, and other scientific computing tools. Additionally, his ability to lead collaborative projects and guide Ph.D. students reflects his strengths in research planning, team management, and scientific communication. His research skills make him a key contributor to the evolution of intelligent systems.

Publications Top Notes

Title: SAR ship detection using sea-land segmentation-based convolutional neural network
Authors: Y Liu, M Zhang, P Xu, Z Guo
Year: 2017
Citations: 112

Title: Chi-squared distance metric learning for histogram data
Authors: W Yang, L Xu, X Chen, F Zheng, Y Liu*
Year: 2015
Citations: 43

Title: Aircraft detection for remote sensing images based on deep convolutional neural networks
Authors: L Zhou, H Yan, Y Shan, C Zheng, Y Liu, X Zuo, B Qiao
Year: 2021
Citations: 32

Title: Spatio-temporal variations in NO2 and PM2.5 over the central plains economic region of China during 2005–2015 based on satellite observations
Authors: K Cai, S Li, F Zheng, C Yu, X Zhang, Y Liu, Y Li
Year: 2018
Citations: 30

Title: Review on High Resolution Remote Sensing Image Classification and Recognition
Authors: Y Liu, Z Fu, F Zheng*
Year: 2015
Citations: 30

Title: A novel image encryption algorithm using PWLCM map-based CML chaotic system and dynamic DNA encryption
Authors: J Tian, Y Lu, X Zuo, Y Liu, B Qiao, M Fan, Q Ge, S Fan
Year: 2021
Citations: 29

Title: SWDet: Anchor-based object detector for solid waste detection in aerial images
Authors: L Zhou, X Rao, Y Li, X Zuo, Y Liu, Y Lin, Y Yang
Year: 2022
Citations: 22

Title: Deep metric learning for accurate protein secondary structure prediction
Authors: W Yang, Y Liu, C Xiao
Year: 2022
Citations: 22

Title: Object-oriented and multi-scale target classification and recognition based on hierarchical ensemble learning
Authors: Y Liu, F Zheng
Year: 2017
Citations: 22

Title: Hyperspectral image classification of brain-inspired spiking neural network based on attention mechanism
Authors: Y Liu, K Cao, R Wang, M Tian, Y Xie
Year: 2022
Citations: 21

Title: RepDarkNet: A multi-branched detector for small-target detection in remote sensing images
Authors: L Zhou, C Zheng, H Yan, X Zuo, Y Liu, B Qiao, Y Yang
Year: 2022
Citations: 21

Conclusion

Professor Yang Liu is highly deserving of the Best Researcher Award for his groundbreaking contributions to Quantum Brain and Mind-inspired Computing, which have advanced the fields of computer vision, intelligent healthcare, environmental monitoring, and multimodal data analysis. His extensive research output, patents, and leadership in national-level projects have not only enriched academic knowledge but also delivered practical solutions with societal impact. With his strong foundation in innovation, dedication to mentoring future researchers, and potential to expand global collaborations, he is well-positioned to continue making significant contributions to both scientific advancement and the broader community.

Kexin Bao | Continual Learning | Best Researcher Award

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Dr. Kexin Bao | Continual Learning | Best Researcher Award

Student at The Institute of Information Engineering, School of Cyber Security at University of Chinese Academy of Sciences, China

Kexin Bao is a focused and innovative researcher currently pursuing her Ph.D. at the Institute of Information Engineering, School of Cyber Security, University of Chinese Academy of Sciences. Her research primarily revolves around machine learning and computer vision, with specialization in few-shot class-incremental learning and weakly supervised small object detection. Through her contributions, she aims to address the challenges of enabling AI models to learn efficiently with minimal data and annotations. Kexin has actively participated in six research projects and authored six peer-reviewed SCI/Scopus-indexed journal publications, with a total citation count of 62. Her work includes the design of the Prior Knowledge-Infused Neural Network (PKI), which balances performance and computational efficiency. She collaborates with esteemed researchers like Shiming Ge and continues to demonstrate a high level of commitment to innovation and scholarly excellence. Kexin Bao’s work holds promise for practical applications in AI and has the potential to impact academia and industry alike.

Professional Profile 

Scopus Profile | ORCID Profile 

Education

Kexin Bao is currently pursuing her Doctor of Philosophy (Ph.D.) in Cyber Security and Information Engineering at the prestigious University of Chinese Academy of Sciences. She is enrolled at the Institute of Information Engineering, which is known for its excellence in cutting-edge research in computer science and cybersecurity. Her academic focus lies in advanced topics within machine learning and computer vision, particularly in areas such as few-shot learning, incremental learning, and object detection. Prior to her Ph.D., Kexin likely completed a Bachelor’s and Master’s degree in a relevant field, which laid the foundation for her research career, though those details are not explicitly mentioned in her profile. Her academic training has equipped her with the theoretical knowledge and practical skills needed to tackle complex real-world problems in artificial intelligence. Her ongoing doctoral studies not only refine her technical abilities but also enable her to contribute meaningfully to the global research community.

Professional Experience

As a Ph.D. student, Kexin Bao’s professional experience is rooted in academic research, with a strong focus on machine learning and computer vision. Although she does not yet have experience in industry or consultancy projects, she has participated in six significant research initiatives that address challenges in artificial intelligence, particularly in data-efficient learning models. Her work involves both independent and collaborative research, including partnerships with renowned scholars like Shiming Ge, Daichi Zhang, and Fanzhao Lin. While still in the early stages of her professional career, she has already contributed to six SCI/Scopus-indexed publications and one patent submission, reflecting her active role in advancing knowledge and technology. Though she has not yet undertaken formal leadership roles or teaching positions, her ability to carry out complex research projects demonstrates a high level of professionalism and expertise. Her growing research profile suggests that she is well-positioned to transition into impactful academic or industry roles in the future.

Research Interest

Kexin Bao’s research interests lie at the intersection of machine learning, computer vision, and artificial intelligence, with a specific focus on Few-Shot Class-Incremental Learning (FSCIL) and Weakly Supervised Small Object Detection. She is deeply interested in developing intelligent systems that can learn continuously from limited data, which is crucial for real-world applications where large annotated datasets are often unavailable. Her work on the Prior Knowledge-Infused Neural Network (PKI) and its variants (PKIV-1, PKIV-2) demonstrates her commitment to enhancing learning efficiency and minimizing resource consumption. She aims to create models that not only generalize well but also adapt quickly to new tasks with minimal retraining. These interests align closely with future directions in sustainable AI, autonomous systems, and edge computing. Kexin continues to explore methods that combine theoretical advancements with practical deployment possibilities, aiming to bridge the gap between academic research and real-world applications in intelligent automation and perception systems.

Award and Honor

Though early in her academic journey, Kexin Bao has already achieved commendable recognition through her contributions to research in computer vision. She has authored six peer-reviewed journal publications indexed in SCI and Scopus, and her work has been cited 62 times, indicating growing academic impact. Additionally, she has filed one patent based on her original research, a significant milestone for any early-career researcher. These achievements reflect both innovation and practical relevance in her work. She has also collaborated with prominent researchers, which further adds to her credibility and visibility in the research community. While she has not yet received named awards or honors beyond her publication and patent successes, her nomination for the Best Researcher Award is itself a testament to her academic excellence, research contribution, and future potential. With continued progress, she is well-positioned to receive further accolades and recognition at national and international levels in the near future.

Research Skill

Kexin Bao possesses a robust set of research skills that span both theoretical understanding and practical implementation in machine learning and computer vision. She is proficient in developing deep learning models and has a strong command of techniques related to few-shot learning, incremental learning, and weak supervision. Her work demonstrates advanced capabilities in model optimization, neural network design, and experimental benchmarking. Kexin has conducted extensive experiments on recognized datasets, validating her models through comparisons with state-of-the-art techniques. She is adept at using research tools, coding in frameworks such as PyTorch or TensorFlow, and performing data preprocessing and analysis. Her development of the Prior Knowledge-Infused Neural Network and its variants highlights her problem-solving ability and innovation mindset. She is also skilled in academic writing, contributing to multiple peer-reviewed journals. These research skills, combined with her ability to work collaboratively and manage projects independently, position her as a capable and resourceful young researcher.

Publications Top Notes

Title: DB-FSCIL: Few-Shot Class-Incremental Learning Using Dual Bridges
Authors: Kexin Bao, Fanzhao Lin, Ruyue Liu, Shiming Ge
Year: 2025
Type: Book Chapter

Title: PKI: Prior Knowledge-Infused Neural Network for Few-Shot Class-Incremental Learning
Authors: Kexin Bao, Fanzhao Lin, Zichen Wang, Yong Li, Dan Zeng, Shiming Ge
Year: 2025 (Expected December)
Type: Journal Article (Neural Networks)

Title: Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning
Authors: Kexin Bao, Daichi Zhang, Yong Li, Dan Zeng, Shiming Ge
Year: 2025
Type: Conference Paper

Title: Learning Contrast-Enhanced Shape-Biased Representations for Infrared Small Target Detection
Authors: Fanzhao Lin, Kexin Bao, Yong Li, Dan Zeng, Shiming Ge
Year: 2024
Type: Journal Article (IEEE Transactions on Image Processing)

Title: Learning Shape-Biased Representations for Infrared Small Target Detection
Authors: Fanzhao Lin, Shiming Ge, Kexin Bao, Chenggang Yan, Dan Zeng
Year: 2024
Type: Journal Article (IEEE Transactions on Multimedia)

Title: Federated Learning with Label-Masking Distillation
Authors: Jianghu Lu, Shikun Li, Kexin Bao, Pengju Wang, Zhenxing Qian, Shiming Ge
Year: 2023
Type: Conference Paper

Conclusion

Kexin Bao is a deserving candidate for the Best Researcher Award due to her impactful contributions in the field of computer vision, particularly in few-shot class-incremental learning and weakly supervised small object detection. Her innovative work, including the development of the Prior Knowledge-Infused Neural Network (PKI), addresses real-world challenges in AI and has gained recognition through multiple SCI-indexed publications and citations. Her dedication to advancing research, collaboration with leading experts, and potential to drive future breakthroughs highlight both her academic excellence and her value to the broader research community. With continued growth in global engagement and leadership activities, she holds strong potential to become a leading figure in her field.

Omang Ombolo Messono | Economics | Best Researcher Award

Published on by Computer Vision Awards

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.