Dr. Mingxi Zhang | Remote Sensing | Best Researcher Award

Dr. Mingxi Zhang | Remote Sensing | Best Researcher Award

Doctorate at Curtin University, Australia

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Publications

A warming climate will make Australian soil a net emitter of atmospheric CO2

  • Authors: RA Viscarra Rossel, M Zhang, T Behrens, R Webster
  • Journal: npj Climate and Atmospheric Science
  • Year: 2024

Mid-infrared spectroscopy determines the provenance of coastal marine soils and their organic and inorganic carbon content

  • Authors: Lewis Walden, Oscar Serrano, Zefang Shen, Mingxi Zhang, Paul Lavery, Zhongkui Luo, Lei Gao, Raphael A Viscarra Rossel
  • Journal: Science of The Total Environment
  • Year: 2024

Estimating nutrient transport associated with water and wind erosion across New South Wales, Australia

  • Authors: Xihua Yang, John Leys, Mingxi Zhang, Jonathan M Gray
  • Journal: Geoderma
  • Year: 2023

Monitoring of sustainable land management using remotely sensed vegetation cover and variable tolerable soil erosion targets across New South Wales, Australia

  • Authors: Jonathan M Gray, John F Leys, Xihua Yang, Mingxi Zhang
  • Journal: Soil Use and Management
  • Year: 2023

Deep transfer learning of global spectra for local soil carbon monitoring

  • Authors: Zefang Shen, Leonardo Ramirez-Lopez, Thorsten Behrens, Lei Cui, Mingxi Zhang, Lewis Walden, Johanna Wetterlind, Zhou Shi, Kenneth A Sudduth, Philipp Baumann, Yongze Song, Kevin Catambay, Raphael A Viscarra Rossel
  • Journal: ISPRS Journal of Photogrammetry and Remote Sensing
  • Year: 2022

Dr. Rajagopal Sankaranarayanan | Microlearning | Best Researcher Award

Dr. Rajagopal Sankaranarayanan | Microlearning | Best Researcher Award

Doctorate at The University of Texas at Austin, United States

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Publications

Exploring the role of a microlearning instructional approach in an introductory database programming course: an exploratory case study

  • Authors: Rajagopal Sankaranarayanan, Mohan Yang, Kyungbin Kwon
  • Journal: Journal of Computing in Higher Education
  • Year: 2024

Microlearning in diverse contexts: A bibliometric analysis

  • Authors: Rajagopal Sankaranarayanan, Javier Leung, Victoria Abramenka-Lachheb, Grace Seo, Ahmed Lachheb
  • Journal: TechTrends
  • Year: 2023

Investigating Instructional Designers’ Expressed Needs during the Pandemic: A Follow-Up Study Using Natural Language Processing

  • Authors: Javier Leung, Victoria Abramenka-Lachheb, Rajagopal Sankaranarayanan, Ahmed Lachheb, Grace Seo
  • Journal: TechTrends
  • Year: 2023

Learning analytics as a tool for improvement and reflection on instructional design practices

  • Authors: Tanner Phillips, Ahmed Lachheb, Rajagopal Sankaranarayanan, Victoria Abramenka-Lachheb
  • Journal: A practitioner’s guide to instructional design in higher education
  • Year: 2021

Learning Presence and the Reconceptualization of Language and Literacy Teachers’ Online Professional Development.

  • Authors: Faridah Pawan, Rajagopal Sankaranarayanan, Rodney Myers, Dorcas Miao
  • Journal: Online Learning
  • Year: 2021

Dr. Anita Sebasthiyar | Deep Learning | Best Researcher Award

Dr. Anita Sebasthiyar | Deep Learning | Best Researcher Award

Doctorate at ST. Anne’s College of Engineering and Technology, India

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Publications

Modified Exigent Features Block in JAN Net for Analysing SPECT Scan Images to Diagnose Early-Stage Parkinson’s Disease.

  • Authors: S Jothi, S Anita, S Sivakumar
  • Journal: Current Medical Imaging
  • Year: 2023

Improved classification accuracy for diagnosing the early stage of Parkinson’s disease using alpha stable distribution

  • Authors: S Anita
  • Journal: IETE Journal of Research
  • Year: 2023

Mathematical model for early stage identification of Parkinson’s disease using neurotransmitter: GABA

  • Authors: S Anita, R Arokiadass
  • Journal: International Journal of Information Technology
  • Year: 2022

Diagnosis of Parkinson’s disease at an early stage using volume rendering SPECT image slices

  • Authors: S Anita, P Aruna Priya
  • Journal: Arabian Journal for Science and Engineering
  • Year: 2020

Three dimensional analysis of SPECT images for diagnosing early Parkinson’s disease using Radial Basis Function kernel− Extreme learning machine

  • Authors: Sebasthiyar Anita, Panchnathan A Priya
  • Journal: Current Medical Imaging
  • Year: 2019

Dr. Sajid Ullah Khan | Medical Image Analysis | Best Researcher Award

Dr. Sajid Ullah Khan | Medical Image Analysis | Best Researcher Award

Doctorate at Prince Sattam Bin Abdulaziz University, Saudi Arabia

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Publications

Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism

  • Authors: Naveed Saif, Sajid Ullah Khan, Imrab Shaheen, Faiz Abdullah ALotaibi, Mrim M Alnfiai, Mohammad Arif
  • Journal: Computers in Human Behavior
  • Year: 2024

Energy-efficient routing protocols for UWSNs: A comprehensive review of taxonomy, challenges, opportunities, future research directions, and machine learning perspectives

  • Authors: Sajid Ullah Khan, Zahid Ulalh Khan, Mohammed Alkhowaiter, Javed Khan, Shahid Ullah
  • Journal: Journal of King Saud University-Computer and Information Sciences
  • Year: 2024

Multimodal medical image fusion towards future research: A review

  • Authors: Sajid Ullah Khan, Mir Ahmad Khan, Muhammad Azhar, Faheem Khan, Youngmoon Lee, Muhammad Javed
  • Journal: Journal of King Saud University-Computer and Information Sciences
  • Year: 2023

Historical text image enhancement using image scaling and generative adversarial networks

  • Authors: Sajid Ullah Khan, Imdad Ullah, Faheem Khan, Youngmoon Lee, Shahid Ullah
  • Journal: Sensors
  • Year: 2023

A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19)

  • Authors: Sajid Ullah Khan, Imdad Ullah, Najeeb Ullah, Sajid Shah, Mohammed El Affendi, Bumshik Lee
  • Journal: Scientific Reports
  • Year: 2023

Dr. Zhongyuan Liu | Computer Vision | Best Researcher Award

Dr. Zhongyuan Liu | Computer Vision | Best Researcher Award

Doctorate at Beijing University of Technology, China

👨‍🎓 Profiles

Scopus

YOLO-TBD: Tea Bud Detection with Triple-Branch Attention Mechanism and Self-Correction

  • Author: Z. Liu, L. Zhuo, C. Dong, J. Li
    Journal: Industrial Crops and Products
    Year: 2025

Mr. Mohammad Hussein Amiri | Artificial Intelligence | Best Researcher Award

Mr. Mohammad Hussein Amiri | Artificial Intelligence | Best Researcher Award

Mohammad Hussein Amiri at Shahid Beheshti University, Iran

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Scopus

Orcid

An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants

  • Authors: Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Maryam Khanian Najafabadi, Amin Beheshti, Nima Khodadadi
    Journal: Expert Systems with Applications
    Year: 2025

Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm

  • Authors: Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Montazeri, M., Mirjalili, S., Nima Khodadadi
    Journal: Scientific Reports
    Year: 2024

Monitoring UAV status and detecting insulator faults in transmission lines with a new classifier based on aggregation votes between neural networks by interval type-2 TSK fuzzy system

  • Authors: Mohammad Hussein Amiri, Mahdi Pourgholi, Nastaran Mehrabi Hashjin, Mohammadreza Kamali Ardakani
    Journal: Soft Computing
    Year: 2024

Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization

  • Authors: Nastaran Mehrabi Hashjin, Mohammad Hussein Amiri, Ardashir Mohammadzadeh, Seyedali Mirjalili, Nima Khodadadi
    Journal: Cluster Computing
    Year: 2024

Monitoring UAV Status and Detecting Insulation Defects in Transmission Lines with a New Hybrid Classifier based on the Type-2 Fuzzy and Neural Networks

  • Authors: Mohammad Hussein Amiri, Mahdi Pourgholi, Nastaran Mehrabi Hashjin, Mohammadreza Kamali Ardakani
    Journal: Research Square
    Year: 2023

Prof. Hafiz Khan Mohammad Rafiqullah | Biomedical | Best Researcher Award

Prof. Hafiz Khan Mohammad Rafiqullah | Biomedical | Best Researcher Award

Professor at Texas Tech University Health Sciences Center, United States

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Comparative Study of Risk Factors Associated with Normal Cognition and Cognitive Impairment in Rural West Elderly Texans

  • Author: H.M.R.U. Khan, Hafiz Mohammad Rafiqullah U., F. Farhana, Fardous, F.B. Mostafa, Fahad B., K. Palle, Komaraiah, P.H. Reddy, P. Hemachandra
    Journal: Journal of Alzheimer’s Disease Reports
    Year: 2024

Effects of Sleep Deprivation on Brain Atrophy in Individuals with Mild Cognitive Impairment and Alzheimer’s Disease

  • Author: U. Sehar, Ujala, U. Mukherjee, Upasana, H.M.R.U. Khan, Hafiz Mohammad Rafiqullah U., R.V. Alvir, Rainier Vladlen, P.H. Reddy, P. Hemachandra
    Journal: Ageing Research Reviews
    Year: 2024

Associations Between Vitamin D Deficiency/Insufficiency and Depression Expose Health Disparities in Older Rural West Texans: A Project FRONTIER Study

  • Author: M. Pourghaed, Mohammed, A. Sarangi, Ashish, F. Ramirez-Velandia, Felipe, V. Neugebauer, Volker, J.J. Lawrence, John Josh
    Journal: American Journal of Geriatric Psychiatry
    Year: 2024

Optic Neuritis After COVID-19 Vaccination: Response

  • Author: M. Jaffry, Mustafa, O.M. Aftab, Owais M., F.B. Mostafa, Fahad B., H.M.R.U. Khan, Hafiz Mohammad Rafiqullah U., N. Souayah, Nizar
    Journal: Journal of Neuro-Ophthalmology
    Year: 2024

Optic Neuritis After COVID-19 Vaccination: An Analysis of the Vaccine Adverse Event Reporting System

  • Author: M. Jaffry, Mustafa, O.M. Aftab, Owais M., F.B. Mostafa, Fahad B., H.M.R.U. Khan, Hafiz Mohammad Rafiqullah U., N. Souayah, Nizar
    Journal: Journal of Neuro-Ophthalmology
    Year: 2023

Assoc Prof Dr. Chuanzhong Wu | Deep Metric Learning | Outstanding Scientist Award

Assoc. Prof. Dr. Chuanzhong Wu | Deep Metric Learning | Outstanding Scientist Award

Chuanzhong Wu at Shanghai International Studies University, China

Profiles

Scopus

🎓 Early Academic Pursuits

Assoc. Prof. Dr. Chuanzhong Wu embarked on his academic journey with a Bachelor’s degree in Physical Education from Wuhan Institute of Physical Education in 2005. His passion for sports education and training led him to pursue a Master’s degree in Sports Education & Training Science at the same institution, which he completed in 2008. Driven by a commitment to advancing research in sports humanities, he earned his Ph.D. in Sports Humanities and Social Sciences from the National University of Physical Education and Sport of Ukraine in September 2023. His doctoral studies focused on the intersection of sports education and social sciences, under the supervision of Prof. Korobeynikava Lesia.

🏢 Professional Endeavors

Assoc Prof Dr. Wu began his teaching career in 2008 as a Teaching Assistant at Huaihai Institute of Technology. Over the years, he progressed through various academic ranks, becoming a Lecturer in 2010 and later achieving the title of Associate Professor in 2018. Currently, he serves as an Associate Professor at Jiangsu Ocean University, where he holds the position of Section Chief in the Department of Sports. His dedication to academia and sports training has earned him recognition as a key figure in sports education and talent development.

🔬 Contributions and Research Focus

Assoc Prof Dr. Wu’s research is centered on Sports Education and Training Science, where he explores innovative training methodologies, physical conditioning, and the social dimensions of sports. His work has significantly contributed to enhancing the understanding of sports culture, performance analysis, and athletic training strategies. Through extensive research and publications, he has examined topics such as the integration of school and community sports culture and the relationship between competitive sports origin theories and human demand for multi-level sports development.

🌍 Impact and Influence

As a recognized researcher in the field,Assoc Prof Dr. Wu has made substantial contributions to the academic community. His work has been honored on multiple occasions, including First Prize at the European Youth Olympic Scientific Paper Conference (2020) and Second Prize at the 2020 Tokyo Olympic Games Scientific Paper Conference. His research findings have not only influenced sports training methodologies but also contributed to policy recommendations and curriculum development in higher education institutions.

📚 Academic Cites and Recognitions

Assoc Prof Dr. Wu’s academic excellence has been acknowledged through various city and provincial-level awards. In 2021, he was selected for Lianyungang City’s “521 High-Level Talent Training Program” as a Third-Tier Scholar. His research papers have received accolades in prestigious competitions, including:

  • Second Prize in the 13th National Student Sports Conference Scientific Paper Competition (2017)
  • Second Prize in the National College Student Work Excellent Academic Achievement Award (2012)
  • Recognition as an Outstanding Instructor for University Students’ Summer Social Practice Program (2012)

💻 Technical Skills

Assoc Prof Dr. Wu has extensive expertise in sports performance analysis, physical education methodologies, emergency rescue training, and sports research analytics. His technical skills include quantitative research methods, data-driven training assessments, and interdisciplinary sports education approaches. He is also proficient in designing and implementing sports training programs that bridge traditional education and modern technological applications.

🎓 Teaching Experience and Student Engagement

Throughout his teaching career,Assoc Prof Dr. Wu has been widely recognized for his student-centered approach and commitment to academic excellence. In 2017, he was voted the “Most Beloved Teacher” by students at Jiangsu Ocean University. His dedication to mentorship has earned him multiple awards as an “Outstanding Class Advisor” over consecutive years. His courses emphasize scientific training techniques, sports psychology, and athletic development, inspiring students to pursue excellence in sports and academia.

🌟 Legacy and Future Contributions

Assoc Prof Dr. Wu’s impact in the field of sports education and training science continues to grow. As a dedicated researcher and educator, he strives to bridge the gap between theoretical research and practical sports applications. His future contributions aim to enhance global sports training methodologies, promote interdisciplinary research, and develop next-generation athletes through innovative educational frameworks. With a strong foundation in research, teaching, and leadership, Dr. Wu remains committed to shaping the future of sports education and training science on both a national and international scale.

 

Publications

Infrared Thermal Radiation and Deep Learning Algorithms for Evaluating the Warm-Up Effect of Sports Training: Thermal Imaging Monitoring Model

  • Author: Y. Liu, Yumeng; Y. Li, Yunlong; D. Liang, Danqing; C. Li, Cheng; C. Wu, Chuanzhong
    Journal: Thermal Science and Engineering Progress
    Year: 2025

Assoc Prof Dr. Zhi Huang | Industrial | Best Researcher Award

Publications

Enzyme inactivation in broccoli of different sizes and densities using a pilot-scale 27.12 MHz radio frequency heating system

  • Author: X. Wang, Y. Zeng, J. Hu, Q. Hao, Z. Huang
    Journal: Food Control
    Year: 2025

Development and validation of a susceptor-assisted radio frequency heating strategy for improving uniformity in powdered foods

  • Author: Y. Zhang, X. Wang, J. Ma, S. Wang, Z. Huang
    Journal: Innovative Food Science and Emerging Technologies
    Year: 2025

Computer simulation for improving radio frequency (RF) heating uniformity of food products: A review

  • Author: Zhi Huang, Francesco Marra, Jeyamkondan Subbiah, Shaojin Wang
    Journal: Critical Reviews in Food Science and Nutrition
    Year: 2018

Modeling radio frequency heating of granular foods: Individual particle vs. effective property approach

  • Author: Zhi Huang, Ashim K Datta, Shaojin Wang
    Journal: Journal of Food Engineering
    Year: 2018

Improvement of radio frequency (RF) heating uniformity for peanuts with a new strategy using computational modeling

  • Author: Shuang Zhang, Zhi Huang, Shaojin Wang
    Journal: Innovative Food Science & Emerging Technologies
    Year: 2017

Assist Prof Dr. Xincheng Wang | Industrial | Best Researcher Award

Publications

External Shocks, R&D Investment, and Firms’ First-Time Digital Innovation

  • Author: Xincheng Wang, Mijia Gong, Tianyu Gong
    Journal: IEEE Transactions on Engineering Management
    Year: 2024

Digital-enabled supply chain innovation and CO2 emissions: The contingent role of first-tier supplier’s structural holes

  • Author: Xincheng Wang, Tianyu Gong
    Journal: Technological Forecasting and Social Change
    Year: 2024

Breaking out of the pandemic: How can firms match internal competence with external resources to shape operational resilience?

  • Author: Yuan Li, Xincheng Wang, Tianyu Gong, Haifeng Wang
    Journal: Journal of Operations Management
    Year: 2023

Government digital initiatives and firm digital innovation: Evidence from China

  • Author: Xincheng Wang, Yuan Li, Longwei Tian, Ye Hou
    Journal: Technovation
    Year: 2023

Environmental dynamism and cooperative innovation: the moderating role of state ownership and institutional development

  • Author: Xincheng Wang, Jide Sun, Longwei Tian, Wenjia Guo, Tianyu Gu
    Journal: The Journal of Technology Transfer
    Year: 2021