Md Belal Bin Heyat
Westlake University, International Institute of Information Technology, Hyderabad, Integral University, University of Electronic Science and Technology of China
Research areas: Computer Science · Artificial Intelligence · EEG and Brain-Computer Interfaces · Artificial Intelligence in Healthcare · Emotion and Mood Recognition
0000-0001-5307-9582
About
Dr. Md Belal Bin Heyat received his B.Tech in Electronics and Instrumentation (EI) and M.Tech in Electronics Circuit and System (ECS) from Integral University, Lucknow, India, in 2014 and 2016. He earned his Ph.D. in Electronic Science and Technology from the University of Electronic Science and Technology of China (UESTC), Chengdu, China. During his Ph.D., he demonstrated outstanding academic and leadership capabilities, winning nine prestigious awards and serving as a Research Associate, Vice-Chairman of the UESTC Country League, and Country Representative for India. Following his doctorate, Dr. Heyat worked as a Postdoctoral Fellow at the IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, China, from 2021 to 2023. Currently, he is a Postdoctoral Fellow at the CenBRAIN Neurotech Center of Excellence, Westlake University, China. Additionally, he is a visiting postdoctoral researcher at the Center for Visual Information Technology (CVEST), IIIT Hyderabad, India, and a faculty member in the Department of Science and Engineering at Novel Global Community Educational Foundation, NSW, Australia.
Dr. Heyat's interdisciplinary research focuses on the intersection of artificial intelligence, biomedical signal processing, and healthcare technology. His primary research areas include disease detection, particularly in sleep disorders, neurological and psycho-neurological conditions, and cardiovascular health. He has expertise in AI-driven medical diagnostics, physiological signal analysis, and the integration of Traditional Chinese Medicine (TCM) in mental health treatment. Beyond his research, Dr. Heyat is a dedicated academic contributor, serving as a Guest Editor for esteemed journals such as Life, Journal of Integrative Neuroscience, and Applied Sciences. He is an active reviewer for leading publishers, including Oxford University Press, IEEE, Elsevier, Hindawi, Wiley, Springer, MDPI, and Bentham Science. With a remarkable publication record, Dr. Heyat has authored over 100 scientific articles in prestigious international journals and conferences, boasting an h-index of 30. His innovative contributions to AI-powered healthcare and neurotechnology have positioned him as a leader in the field, committed to advancing diagnostic accuracy and therapeutic solutions for global health challenges.
Employment
- 2023 - Present
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Shenzhen University Post Doctoral Fellow2021 - 2023
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International Institute of Information Technology, Hyderabad Visiting Post Doctoral Fellow
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Novel Global Community Educational Foundation
Education
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Integral University B.Tech
Projects & Funding
Projects & funding information is unavailable.
Publications (118)
- Cross-Dataset Generalization of Deep Learning for Retinal Vessel Segmentation in Fundus Images: External Evaluation from DRIVE to CHASE_DB1 Save
- AI‐Powered Personalization Across Digital Ecosystems: A Trust‐Centric Perspective on Intelligent, Ethical, and Adaptive User‐Centric Systems Save
- Large Language Model: Future of Healthcare Research With Challenges Save
- Efficacy of Pimpinella anisum L. in Menopausal Women with Psychological Symptoms: A Randomized Controlled Study Integrated with Machine Learning Analysis Save
- Lung Cancer in the New Era: Trends, Innovations, and Future Recommendations Save
- BSDS-ShareCrypt: a blockchain-enabled framework for secure, anonymous, and accountable data sharing in cloud-IoT environments using aggregate key searchable encryption Save
- Corrections to ”Ensemble Computational Intelligent for Insomnia Sleep Stage Detection Via the Sleep ECG Signal” Save
- An Efficient Algorithm for Weather Forecasting Using Causal Graph Neural Network Save
- Efficient blockchain-based mutual remote authentication for enhancing privacy and security in cloud internet of things environment Save
- AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions Save
- Efficacy of Marham-e-Dakhilyun Ointment and Alum Perineal Wash for Perineal Wound Healing and Pain Intensity in Postpartum Women: A Self-control Clinical Trial Save
- Artificial intelligence in globesity research: diagnosis, treatment, and prevention solutions for a healthier world with future recommendations Save
- A machine learning-based analysis for the effectiveness of online teaching and learning in Pakistan during COVID-19 lockdown Save
- A novel lightweight deep learning based approaches for the automatic diagnosis of gastrointestinal disease using image processing and knowledge distillation techniques Save
- A Novel Machine and Deep Learning–Based Ensemble Techniques for Automatic Lung Cancer Detection Save
- Artificial Intelligence for Text Analysis in the Arabic and Related Middle Eastern Languages: Progress, Trends, and Future Recommendations Save
- Deep Convolutional Network‐Based Probabilistic Selection Approach for Multiclassification of Brain Tumors Using Magnetic Resonance Imaging Save
- Intelligent Internet of Medical Things for Depression: Current Advancements, Challenges, and Trends Save
- Internet of Things in Healthcare Research: Trends, Innovations, Security Considerations, Challenges and Future Strategy Save
- A Bibliometric Analysis on Urticaria: Roles of Oxidative Stress, Inflammation, Immunity, and Treatment Modalities Save