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

Published on 14/08/202514/08/2025 by Computer Vision Awards

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.

Xueyan Dong | Augmented Reality | Best Researcher Award

Published on 04/08/202504/08/2025 by Computer Vision Awards

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.

Assoc Prof Dr. Farhana Sarker | Augmented Reality | Best Researcher Award

Published on 29/04/202529/04/2025 by Computer Vision Awards

Early Academic Pursuits

Assoc. Prof. Dr. Farhana Sarker began her academic journey with a Bachelor of Science in Computer Science and Engineering from Darul Ihsan University, Dhaka, Bangladesh (2000–2004), where she consistently demonstrated academic excellence and earned a place on the Dean’s List of Honor. Her outstanding undergraduate performance earned her several prestigious scholarships, including an undergraduate scholarship and district-level talent pool awards. Driven by a passion for technology and innovation, she went on to pursue her Ph.D. in Computer Science at the School of Electronics and Computer Science, University of Southampton, UK (2009–2014), supported by the prestigious EPSRC Ph.D. Scholarship.

Professional Endeavors

Dr. Sarker brings rich professional experience from both academia and industry. She has worked extensively in the software and telecom industries and played vital roles in national ICT initiatives. Notably, she collaborated with the Information and Communication Technology (ICT) Division of the Government of Bangladesh in various policy-making capacities. Her leadership extended into academia where she led key Outcome-Based Education (OBE) initiatives at several universities, including Independent University, Bangladesh (IUB) and Southeast University (SEU). She has also held significant committee roles at the University of Liberal Arts Bangladesh (ULAB), contributing to admissions, curriculum, quality assurance, and harassment prevention.

Contributions and Research Focus

Dr. Sarker’s research is positioned at the intersection of AI, data analytics, healthcare, and education. Her active involvement in high-impact, grant-funded projects showcases her commitment to leveraging technology for social good. Some notable research projects include Susastho.AI (an AI solution for sexual, reproductive, and mental health backed by the Bill and Melinda Gates Foundation), AIMScribe (an intelligent medical scribe), and Deep-Depression (a BCI system to identify depression). She has also explored the integration of augmented reality for autism education, neuromarketing using Brain-Computer Interface and eye-tracking, and digital inclusion in agriculture and disability support. Across these projects, she has served as a Co-Investigator or Principal Consultant, often securing substantial national and international funding.

Impact and Influence

Dr. Sarker’s influence is reflected in her ongoing participation in global academic and scientific communities. She has served as a session chair, steering committee member, and technical program secretary in reputed IEEE conferences like ICCIT, MIET, and BECITHCON. Her leadership in AI4GH (Artificial Intelligence for Global Health) and her frequent involvement with ICT ministry-backed projects have made her a strong voice in shaping Bangladesh’s digital transformation agenda. Additionally, her co-founding of CMED Health, a digital health platform, showcases her entrepreneurial mindset and dedication to real-world impact.

Academic Cites & Recognitions

Dr. Sarker has been consistently featured in the AD Scientific Index Rankings from 2021 to 2024, a testament to her research productivity and impact. Her scholarly contributions have earned her prestigious recognitions including the Distinguished Research Scholarship from King Saud University and multiple performance awards during her time in industry and academia.

Technical Skills

Structured & Object-Oriented Programming
System Analysis & Design
Automata Theory, Data Structures, and Algorithms
Computer Networks & Fundamentals
Artificial Intelligence, Machine Learning, and Data Analytics
Data Science Applications in Healthcare and Education

Teaching Experience

With a passion for education, Dr. Sarker has taught and mentored hundreds of students in diverse areas of Computer Science. Her core teaching subjects include programming, system design, theoretical computer science, and networking, reflecting her broad academic repertoire. She has also contributed to curriculum development, question moderation, and quality assurance at department levels across multiple institutions.

Legacy and Future Contributions

As a thought leader, Dr. Farhana Sarker is committed to fostering interdisciplinary research and technological innovation for public benefit. She envisions a future where AI-driven solutions play a pivotal role in transforming healthcare accessibility, inclusive education, and social well-being in developing nations. Through her mentorship, leadership in OBE committees, and proactive engagement in funded research, she is nurturing the next generation of computer scientists and technologists. Her legacy is one of visionary academic stewardship and impactful research with tangible societal benefits.

Publications

Systematic comparison between a research-grade EEG device and a consumer-grade BCI device for predicting consumer preference using an ML framework

Author: Ishtiaque, Farhan F.; Miya, Mohammad Tohidul Islam M.T.I.; Mashrur, Fazla Rabbi F.R.; Abdul Hamid, Abu Bakar A.B.; Al Mamun, Khandakar Abdulla K.A.
Journal: Multimedia Tools and Applications
Year: 2025

Development and performance evaluation of a Bengali-adapted mHealth app for early detection of impaired visual acuity

Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
Journal: Applied Intelligence
Year: 2025

An intelligent neuromarketing system for predicting consumers’ future choice from electroencephalography signals

Author: Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan, Syed Ferhat Anwar, Farhana Sarker, Khondaker A Mamun
Journal: Physiology & behavior
Year: 2022

BCI-based Consumers’ choice prediction from EEG signals: an intelligent Neuromarketing framework

Author: Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan, Syed Ferhat Anwar, Farhana Sarker, Khondaker A Mamun
Journal: Frontiers in human neuroscience
Year: 2022

Factors associated with low medication adherence in patients with Type 2 diabetes mellitus attending a tertiary hospital in Bangladesh

Author: Sheikh Mohammed Shariful Islam, Md Tauhidul Islam, Riaz Uddin, Tania Tansi, Shamim Talukder, Farhana Sarker, Khondaker Abdullah Al Mamun, Sasan Adibi, Lal B Rawal
Journal: Lifestyle Medicine
Year: 2021

Dr. Jianbang Liu | Augmented Reality | Best Faculty Award

Published on 06/02/202508/02/2025 by Computer Vision Awards

Early Academic Pursuits

Dr. JianBang Liu embarked on his academic journey with a Master’s degree from Qilu University of Technology (Shandong Academy of Sciences), China, in 2018. His passion for cutting-edge technology led him to pursue a Ph.D. at the Institute of Visual Informatics, Universiti Kebangsaan Malaysia (National University of Malaysia). During his doctoral studies, he specialized in Human-Computer Interaction (HCI) and Artificial Intelligence (AI), laying a strong foundation for his research in AI-driven emotion and cognition analysis.

Professional Endeavors

Currently serving as a Research Fellow at Xinyu University, China, Dr. Liu plays a pivotal role in both academia and research. He has actively contributed to advancing the fields of AI and HCI through innovative research and scholarly publications. His expertise extends to AI-driven sentiment analysis, immersive learning technologies, and intelligent interaction models, significantly enhancing human-computer collaboration.

Contributions and Research Focus

Dr. Liu’s research lies at the intersection of Artificial Intelligence and Human-Computer Interaction, particularly in AI-driven emotion recognition and cognitive analysis. His work explores how AI can enhance human-robot interaction, virtual reality experiences, and intelligent user interfaces. He has authored multiple high-impact journal articles and book chapters, contributing to the global AI and HCI knowledge base. His recent publication, Local Optimal Issue in Bees Algorithm: Markov Chain Analysis and Integration with Dynamic Particle Swarm Optimization Algorithm, highlights his expertise in optimization algorithms.

Impact and Influence

His research has been widely recognized in leading international journals, including SCI and SSCI-indexed publications. His contributions to AI-driven emotional state modeling and immersive VR learning have significantly influenced advancements in both theoretical and applied AI. His innovative approaches are shaping the future of intelligent human-computer collaboration, paving the way for more adaptive and intuitive AI systems.

Academic Citations

Dr. Liu’s scholarly contributions have been cited extensively in high-impact journals, reflecting the significance of his work in the AI and HCI research communities. His studies on AI-driven cognition analysis and emotion assessment have been referenced by researchers worldwide, showcasing their applicability in various domains, including education, healthcare, and robotics.

Technical Skills

Dr. Liu possesses expertise in AI, deep learning, machine learning, and computational intelligence. His proficiency in neural networks, optimization algorithms, and multimodal data analysis has enabled him to develop robust AI models for emotion and cognitive analysis. Additionally, his technical acumen extends to programming languages such as Python, MATLAB, and TensorFlow, facilitating efficient AI model development and deployment.

Teaching Experience

As a dedicated academic, Dr. Liu has been actively involved in mentoring students and researchers in AI and HCI. His commitment to knowledge dissemination is evident in his guidance of research projects and his participation in academic conferences. His expertise in AI-driven sentiment analysis and immersive VR learning makes him a valuable mentor for students exploring these emerging fields.

Legacy and Future Contributions

Dr. Liu envisions a future where AI-driven systems seamlessly integrate with human cognition to enhance learning, communication, and decision-making. His ongoing research in intelligent emotion analysis and adaptive human-computer interaction aims to revolutionize how AI understands and responds to human emotions. His dedication to bridging theoretical AI research with real-world applications ensures a lasting impact on the fields of AI, HCI, and beyond.

Publications

Assessing the impact and development of immersive VR technology in education: Insights from telepresence, emotion, and cognition

Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng, Meng Chun Lam
Journal: Technological Forecasting and Social Change
Year: 2025

Personalized emotion analysis based on fuzzy multi-modal transformer model

Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
Journal: Applied Intelligence
Year: 2025

The Emotional State Transition Model Empowered by Genetic Hybridization Technology on Human–Robot Interaction

Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
Journal: IEEE Access
Year: 2024

Emotion assessment and application in human–computer interaction interface based on backpropagation neural network and artificial bee colony algorithm

Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng
Journal: Expert Systems with Applications
Year: 2023

Performance Evaluation of HMI based on AHP and GRT for GUI

Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng
Journal: 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
Year: 2022

Dr. Kais Belwafi | Augmented Reality | Best Researcher Award

Published on 23/10/202424/10/2024 by Computer Vision Awards

Summary

Dr. Kais Belwafi is an accomplished academic and researcher in the fields of information and communication technologies. His expertise includes embedded systems, brain-computer interfaces, and machine learning, making significant contributions to both academia and industry.

Education

Dr. Belwafi earned his Ph.D. in Sciences and Technologies of Information and Communication from Paris Seine University, France, where he graduated with the highest honors in 2017. His thesis focused on designing adaptable embedded architectures for brain-machine interface applications. He also holds an MSc. in Intelligent Communication Systems and an Engineering Degree in Real-Time Systems, both graduated with top honors.

Professional Experience

Currently, Dr. Belwafi serves as an Assistant Professor (Visiting) at the University of Sharjah, UAE. He has previously held positions as an Instructor at Khalifa University and a Part-Time Lecturer at King Saud University (KSU), where he taught a variety of computer science courses. Additionally, he has worked as a Research Scientist at Khalifa University and managed significant projects like the KSU CubeSat.

Technical Skills

His technical expertise encompasses programming languages such as C/C++, Java, and Python, as well as hardware description languages like VHDL and Verilog. He is proficient in software tools including Matlab, R, Simulink, Eagle, and Proteus.

Teaching Experience

Dr. Belwafi has taught various courses, including Digital Logic Design, Cybersecurity, and Computer Architecture, along with advanced topics in embedded systems and programming.

Research Interests

His research interests span brain-computer interfaces, embedded systems security, machine learning, artificial intelligence, and signal processing.

Publications

A Vision Language Correlation Framework for Screening Disabled Retina

Authors: Hassan, T., Raja, H., Belwafi, K., Yousaf, J., Ghazal, M.
Journal: IEEE Journal of Biomedical and Health Informatics
Year: 2024

Neurological Disorder Diagnosis through Deep Residual Network-based EEG Signal Analysis

Authors: Jridi, A., Djemal, R., Belwafi, K.
Journal: 7th IEEE International Conference on Advanced Technologies, Signal and Image Processing, ATSIP
Year: 2024

Enhancing Circuit Authentication through Secure Isolation

Authors: Belwafi, K., Alshamsi, H., Ahmed, A., Shoufan, A.
Journal: Proceedings – IEEE International Symposium on Circuits and Systems
Year: 2024

Software Usability Testing Using EEG-Based Emotion Detection and Deep Learning

Authors: Gannouni, S., Belwafi, K., Aledaily, A., Aboalsamh, H., Belghith, A.
Journal: Sensors
Year: 2023

Light-Weight Security Protocol and Data Model for Chip-to-Chip Zero-Trust

Authors: Ahmed, A., Shoufan, A., Belwafi, K.
Journal: IEEE Access
Year: 2023

Professional Profile

Education

Professional Experience

Research Interest

Award and Honor

Research Skill

Publications Top Notes

Professional Profile

Education

Professional Experience

Research Interest

Award and Honor

Research Skill

Publications Top Notes

Conclusion

Independent University, Bangladesh

Profiles

Early Academic Pursuits

Professional Endeavors

Contributions and Research Focus

Impact and Influence

Academic Cites & Recognitions

Technical Skills

Teaching Experience

Legacy and Future Contributions

Systematic comparison between a research-grade EEG device and a consumer-grade BCI device for predicting consumer preference using an ML framework

Development and performance evaluation of a Bengali-adapted mHealth app for early detection of impaired visual acuity

An intelligent neuromarketing system for predicting consumers’ future choice from electroencephalography signals

BCI-based Consumers’ choice prediction from EEG signals: an intelligent Neuromarketing framework

Factors associated with low medication adherence in patients with Type 2 diabetes mellitus attending a tertiary hospital in Bangladesh

Doctorate at Xinyu University, China

Profiles

Early Academic Pursuits

Professional Endeavors

Contributions and Research Focus

Impact and Influence

Academic Citations

Technical Skills

Teaching Experience

Legacy and Future Contributions

Assessing the impact and development of immersive VR technology in education: Insights from telepresence, emotion, and cognition

Personalized emotion analysis based on fuzzy multi-modal transformer model

The Emotional State Transition Model Empowered by Genetic Hybridization Technology on Human–Robot Interaction

Emotion assessment and application in human–computer interaction interface based on backpropagation neural network and artificial bee colony algorithm

Performance Evaluation of HMI based on AHP and GRT for GUI

Doctorate at University of Sharjah, United Arab Emirates

Profiles

Summary

Education

Professional Experience

Technical Skills

Teaching Experience

Research Interests