Jiafa Mao | Computer Science | Best Researcher Award

Published on by Scientific World Research Awards

Prof. Jiafa Mao | Computer Science | Best Researcher Award

Professor at Zhejiang University College of Computer Science and Technology | China 

Prof. Jiafa Mao is an accomplished scholar and doctoral supervisor at the School of Computer Science and Technology, Zhejiang University of Technology, renowned for his expertise in information security, pattern recognition, computer vision, intelligent systems, and multimedia processing. He earned his Ph.D. in Pattern Recognition and Intelligent Systems from East China University of Science and Technology, followed by postdoctoral research at the Beijing University of Posts and Telecommunications. He has served as a professor, leading impactful research that bridges theory with real-world applications. Prof. Mao has directed and participated in numerous national and provincial-level projects, including the National 973 Program and NSFC initiatives, reflecting his strong research leadership. With over 60 publications in prestigious journals such as Pattern Recognition and IEEE Transactions, he has established an international academic footprint. A dedicated reviewer and active member of ACM, CCF, and CSIG, he continues to advance innovation and mentor future researchers.

Professional Profile

Scopus Profile 

Education

Prof. Jiafa Mao has built a strong academic foundation rooted in advanced computing sciences. He earned his Ph.D. in Pattern Recognition and Intelligent Systems from East China University of Science and Technology, where he focused on computational intelligence and system-level problem-solving. His doctoral journey equipped him with a deep understanding of information security, intelligent algorithms, and multimedia systems. To further enhance his research capabilities, he pursued postdoctoral studies at the Beijing University of Posts and Telecommunications. During this period, he engaged in cutting-edge investigations in computer science and technology, contributing to high-level research projects and collaborations with academic and industrial partners. This combined academic trajectory not only refined his expertise in areas such as pattern recognition and computer vision but also prepared him to become a future leader in the field, capable of addressing both theoretical challenges and practical applications.

Experience

Prof. Jiafa Mao has accumulated extensive academic and research experience, particularly in higher education and large-scale projects. He has served as a Professor and Doctoral Supervisor at the School of Computer Science and Technology, Zhejiang University of Technology. In this role, he has guided doctoral and postgraduate students, fostered innovation, and promoted high-quality research in areas like multimedia fingerprinting and intelligent systems. His professional journey also includes a productive postdoctoral tenure at the Beijing University of Posts and Telecommunications, where he sharpened his expertise in information security and data protection. Beyond academic teaching, he has led or participated in more than six national projects, including the National 973 Program and the National Natural Science Foundation of China, along with multiple ministerial, provincial, and industry-sponsored projects. His career reflects a balance of teaching, research, and leadership, demonstrating both scholarly excellence and real-world impact.

Research Interest

Prof. Jiafa Mao’s research interests span a wide spectrum of computer science disciplines, with a strong emphasis on information security and pattern recognition. He has extensively explored multimedia fingerprinting, information hiding, and intelligent systems, advancing methods that secure digital content in increasingly complex environments. His contributions to computer vision and image processing have supported applications ranging from identity verification to data protection, reinforcing the relevance of his work in both academic and industrial contexts. He is also engaged in the study of intelligent algorithms that integrate machine learning with evolving computational models, addressing challenges in automation and system reliability. Prof. Mao’s research aligns with pressing societal and technological needs, particularly in safeguarding information systems and advancing AI-driven solutions. With over 60 publications in top-tier journals and conferences, his studies not only enrich theoretical frameworks but also offer practical tools that address real-world challenges in computing and communication technologies.

Awards and Honors

Prof. Jiafa Mao’s career is distinguished by his strong record of scholarly recognition and professional service. His work has been featured in internationally respected journals such as Pattern Recognition, IEEE Transactions on Evolutionary Computation, and IEEE Transactions on Industrial Informatics, showcasing the global reach and quality of his contributions. He has served as a peer reviewer for numerous top journals and conferences, including IEEE Transactions on Cybernetics and the IEEE International Workshop on Information Forensics and Security, highlighting his trusted expertise within the academic community. His leadership in major projects funded by the National 973 Program and the National Natural Science Foundation of China reflects not only research excellence but also national recognition of his capabilities. Furthermore, his professional memberships in ACM, CCF, and CSIG demonstrate his active involvement in advancing the computing profession. These honors, alongside his extensive publication record, affirm his status as a highly respected researcher and academic leader.

Publication Top Notes

Title: Point-level feature learning based on vision transformer for occluded person re-identification
Year: 2024
Citation: 8

Title: Multi-granularity feature intersection learning for visible-infrared person re-identification
Year: 2025

Title: Basic theories and methods of target’s height and distance measurement based on monocular vision
Year: 2025
Citation: 1

Title: The 3D tooth model segmentation method based on GAC+PointMLP network
Year: 2025

Title: Feature optimization-guided high-precision and real-time metal surface defect detection network
Year: 2024
Citation: 3

Title: Workflows scheduling powered by execution time prediction model
Year: 2024
Citation: 1

Title: HashNeck is a Boosting Tool for Deep Learning to Hashing
Year: 2024

Conclusion

Prof. Jiafa Mao represents a distinguished scholar whose academic journey, research expertise, and leadership contributions firmly position him as a leading figure in the field of computer science. His work in information security, pattern recognition, multimedia fingerprinting, and intelligent systems has advanced both theoretical understanding and practical applications. With a Ph.D. in Pattern Recognition and Intelligent Systems and a successful postdoctoral tenure, he has established a strong foundation in computational intelligence and security-driven technologies. His role as a professor and doctoral supervisor has allowed him to mentor future researchers, while his involvement in national and industry-driven projects has enhanced his reputation as a solution-oriented innovator. Prof. Mao’s extensive publications, active peer-reviewing, and professional memberships in organizations like ACM and CCF underscore his global recognition and professional influence. With a balance of academic excellence and societal impact, he is a highly deserving candidate for prestigious recognitions such as the Best Researcher Award.

Abeer Elkhouly | Artificial Intelligence | Best Researcher Award

Published on by Scientific World Research Awards

Dr. Abeer Elkhouly | Artificial Intelligence | Best Researcher Award

University of Wollongong in Dubai, United Arab Emirates

Dr. Abeer Elkhouly is a dynamic researcher in Electrical, Computer, and Telecommunication Engineering, specializing in Artificial Intelligence, Data Analysis, Robotics, and Healthcare Technology. She completed her Ph.D. in Computer Engineering at Universiti Malaysia Perlis, where she developed advanced methods for intelligent feature selection and audiogram classification to support dementia hearing aid design. Her contributions extend across multiple funded projects in Malaysia and the UAE, with emphasis on AI-driven healthcare systems, autonomous robotics, and optimization techniques. Dr. Elkhouly has published in high-impact journals such as Scientific Reports and Applied Sciences, and presented at IEEE and Scopus-indexed conferences. She also serves as an editor for MethodsX (Elsevier), reviewer for IEEE, and organizer of international research forums. Beyond research, she actively mentors students, co-founded the Centre for Academic Integrity in the UAE, and engages with professional bodies including IEEE, ACM, and WATTLE, reinforcing her global academic influence.

Professional Profile 

 ORCID Profile | Google Scholar

Education

Dr. Abeer Elkhouly has built a strong academic foundation that bridges computer engineering, telecommunications, and artificial intelligence. She pursued her Ph.D. in Computer Engineering at Universiti Malaysia Perlis, Malaysia, where her research focused on advanced machine learning algorithms for intelligent feature selection and audiogram classification, particularly for dementia-related hearing challenges. Her doctoral work combined theoretical depth with practical healthcare applications, reflecting her passion for problem-solving in real-world contexts. Before her doctoral journey, she earned her Master’s and Bachelor’s degrees in Computer Engineering, establishing a clear path of academic excellence. Throughout her studies, she consistently integrated interdisciplinary approaches, combining signal processing, robotics, and optimization with biomedical engineering perspectives. Her education also included active participation in international workshops, seminars, and training programs, which broadened her global academic outlook. By blending rigorous technical expertise with innovative research themes, Dr. Elkhouly’s educational background forms a strong platform for her impactful contributions to both academia and industry.

Experience

Dr. Abeer Elkhouly’s professional journey reflects her ability to integrate teaching, research, and innovation across diverse environments. She has worked in academic institutions and research centers in Malaysia, Egypt, and the UAE, where she contributed as a lecturer, mentor, and researcher. Her academic career includes developing and delivering advanced courses in computer engineering, artificial intelligence, and robotics while guiding students in research and practical projects. Beyond teaching, she has played an active role in securing and contributing to competitive research grants, focusing on healthcare technology, optimization systems, and autonomous robotics. She is also engaged in editorial and reviewing roles, including serving as editor for MethodsX (Elsevier) and reviewer for IEEE and other indexed journals, reflecting her expertise in scholarly publishing. In addition, she actively organizes international conferences and academic integrity initiatives, expanding her leadership in professional networks. Her experience demonstrates a well-rounded blend of academic dedication, collaborative research, and global engagement.

Research Interest

Dr. Abeer Elkhouly’s research interests span across Artificial Intelligence, Data Science, and Intelligent Systems, with a strong focus on healthcare applications. She is deeply engaged in developing advanced algorithms for feature selection, classification, and optimization to solve complex problems in audiology, dementia care, and biomedical signal processing. Robotics and autonomous systems form another core of her research, particularly in designing intelligent robots capable of adaptive learning and efficient task performance. She is also interested in predictive analytics, big data processing, and deep learning frameworks for improving decision-making in critical domains such as healthcare diagnostics, smart systems, and resource optimization. Her research is characterized by a multidisciplinary approach that integrates computer engineering with medical technology, bridging the gap between computational methods and human health challenges. By pursuing innovations at the intersection of AI and real-life applications, Dr. Elkhouly’s work contributes to advancing technologies that directly improve quality of life.

Award and Honor

Throughout her career, Dr. Abeer Elkhouly has been recognized for her dedication to research excellence and academic leadership. She has received awards for outstanding research presentations at international conferences, highlighting the global relevance of her scientific contributions. Her publications in high-impact journals such as Scientific Reports and Applied Sciences have earned strong academic visibility, bringing acknowledgment from the broader scientific community. Beyond research, she has been honored for her editorial and reviewing contributions, including her role as an editor at Elsevier’s MethodsX and as a peer reviewer for IEEE and Scopus-indexed journals. She is also a respected member of leading professional organizations including IEEE, ACM, and WATTLE, which reflects her recognized standing in the international academic arena. Additionally, her leadership role in co-founding the Centre for Academic Integrity in the UAE demonstrates her commitment to ethical research practices. These distinctions collectively underscore her influence and achievements in academia and innovation.

Publication Top Notes

Title: AI Driven Wildfire Prediction in Australia Using Machine Learning for Effective Disaster Prevention
Authors: Zina Abohaia, Abeer Elkhouly, Mai Elbarachi
Year: 2025

Title: Weather Forecasts-Based Machine Learning Models to Predict Wildfire Characteristics
Authors: Zina Abohaia, Abeer Elkhouly, Mai Elbarachi
Year: 2025

Title: A Novel Method to Identify and Classify Deterioration of Orange Juice
Authors: Saharsh Madassery, Abeer Elkhouly, Mohd Fareq Abd Malek
Year: 2024

Title: Augmented Deep Learning for Enhanced Early Brain Tumor Detection
Authors: Abeer Elkhouly, Mahmoud Kakouri, Mohamed Safwan, Obada Al Khatib
Year: 2024

Title: Enhanced Construction Site Debris Management Using Deep Learning Classifiers for Future Remote Robotics Integration
Authors: Obai Alashram, Abeer Elkhouly
Year: 2024

Title: Machine Learning Enhancing a Compact Wearable Device for Stepping Management
Authors: Abeer Elkhouly, Nejad Alagha, Rahim Mutlu
Year: 2024

Title: Intelligent Multi-stage Feature Selection for Audiogram Classification in Designing Dementia Patient’s Hearing Aid (Ph.D. Thesis)
Authors: Abeer Mohamed Abdelghani Elkhouly
Year: 2023

Title: Study of the Impact of Tutor’s Support and Undergraduate Student’s Academic Satisfaction
Authors: A. Hysaj, Abeer Elkhouly, A.W. Qureshi, N. Abdulaziz
Year: 2019
Citations: 19

Title: Data-driven Audiogram Classifier Using Data Normalization and Multi-stage Feature Selection
Authors: Abeer Elkhouly, A.M. Andrew, H.A. Rahim, N. Abdulaziz, M.F.A. Malek, S. Siddique
Year: 2023
Citations: 15

Title: Analysis of Engineering Students’ Academic Satisfaction in a Culturally Diverse University
Authors: A. Hysaj, Abeer Elkhouly, A.W. Qureshi, N. Abdulaziz
Year: 2018
Citations: 15

Title: Why Do Students Plagiarize? The Case of Multicultural Students in an Australian University in the United Arab Emirates
Authors: A. Hysaj, Abeer Elkhouly
Year: 2020
Citations: 12

Conclusion

Dr. Abeer Elkhouly embodies the qualities of a modern researcher who combines academic excellence, innovative thinking, and a commitment to community advancement. Her educational background, rooted in computer engineering and enriched by doctoral research in Malaysia, provided the tools to explore transformative applications of artificial intelligence in healthcare and robotics. Professionally, she has balanced teaching, mentoring, and collaborative projects across multiple countries, demonstrating her ability to adapt and lead in diverse academic and research environments. Her research interests—spanning AI-driven healthcare systems, intelligent robotics, and data optimization—position her at the intersection of technology and human well-being. The recognition she has earned through awards, editorial roles, and professional memberships reflects not only her achievements but also her influence in shaping research directions globally. With her vision for innovation and dedication to ethical scholarship, Dr. Elkhouly continues to inspire future generations while contributing significantly to the advancement of science and technology.