Dr. Allam Jaya Prakash
Ph.D (NIT Rourkela), PDF (UAEU)
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+919866218219|+918886858483
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jayaprakash@bitmesra.ac.in
Research Areas
Artificial Intelligence and Machine Learning; Deep Learning for Biomedical Signal Processing; ECG Signal Analysis and Arrhythmia Classification; Non-Invasive Blood Pressure and Blood Glucose Estimation; Photoplethysmography (PPG) and Multi-Wavelength Optical Spectroscopy; Explainable and Trustworthy AI for Healthcare; Medical Image Analysis and Computer-Aided Diagnosis; AI-Enabled Smart Healthcare Systems; Edge AI and TinyML; AI for Wireless Communications and 6G Networks.
Allam
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Allam Jaya Prakash (Senior Member, IEEE and FIETE) received the PhD degree in electronics and communication engineering, with a specialisation in signal processing and artificial intelligence (AI), from the National Institute of Technology Rourkela, Rourkela, Odisha, India, in 2024. He is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering at Birla Institute of Technology (BIT) Mesra, Ranchi, India. He was a Postdoctoral Fellow with United Arab Emirates University, Al Ain, UAE and as a Senior Assistant Professor (Grade-I) with VIT Vellore, Vellore, India. He was also an Assistant Professor with Adani University, Ahmedabad, India. His research interests include artificial intelligence, machine learning, deep learning, biomedical signal processing, electrocardiogram (ECG) analysis, noninvasive physiological monitoring, medical diagnosis, and AI-enabled healthcare systems. He has published extensively in IEEE, Elsevier, and other international journals and conferences. His research contributions include deep learning-based ECG analysis, biomedical signal classification, biometric authentication, medical diagnosis, and noninvasive health monitoring. He has also contributed to several national and international patent applications in AI-enabled healthcare technologies. He has been recognised as one of the Stanford/Elsevier Top 2% Scientists.
Award and Honours
Publications
Book Chapter
Book
Award and Honours
Fellow, IETE
Top 2% Scientist-2024
Best Paper Award – ICMACC-2022
Publications
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. (2026). ToxFuse: A Dual-Stream Hybrid AI Framework Integrating Contextual Transformers and Statistical Features for Toxic Comment Detection. IEEE Transactions on Computational Social Systems, 1-12. scie https://10.1109/TCSS.2026.3742660
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, , & . (2026). System and method for continuous non-invasive blood glucose monitoring using a mobile computing device based on a multiwavelength PPG signal.
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, , & . (2026). Cutting-edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution-based Approaches. Academic Press.
Books
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(Ed.). (2026). Cutting-edge computational intelligence in healthcare with convolution and kronecker convolution-based approaches (1st ed.). Elsevier. ISBN: Paperback ISBN: 9780443330827 eBook ISBN: 9780443330834. scopus
Book Chapters
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, , & (2023). Empirical wavelet transform and deep learning-based technique for ecg beat classification. (pp. 109–128). Elsevier.
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, , & (2023). Patient-specific ecg beat classification using emd and deep learning-based technique. (pp. 87–108). Elsevier.
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, , , , & (2022). Customized deep learning algorithm for drowsiness detection using single-channel eeg signal. (pp. 189–201). Elsevier.
Intellectual Property Rights (IPR)
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System and method for continuous non-invasive blood glucose monitoring using a mobile computing device based on a multiwavelength PPG signal
- Inventors: Abdelaal, Mohamed Atef Elsayed and Hosni, Asmaa and Allam, Jaya Prakash
- Date:
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Multi-Branch Biometric Sensor for ECG Authentication
- Inventors: Mohamed Hammad, Ali Abdullah AlQahtani, Abdelhamied A. Ateya, Mohamed ElAffendi, Jaya Prakash Allam
- Date:
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Smart Glasses for Enhanced Navigation and Accessibility for the Visually Impaired
- Inventors: Manthiraju Sri Vijaya Karthikeya, Muchenedi Hari Kishor Allam Jaya Prakash
- Date:
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Compact Computer Tool for Edge Node Allocation in Open RAN
- Inventors: Abdelhamied A. Ateya, Mohamed Hammad, Mohamed ElAffendi, Banavathu Rao, Jaya Prakash Allam
- Date:
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A Mobile based Cardiac Health Monitoring System using Deep Residual Network (Granted on 05.02.2026)
- Inventors: Allam Jaya Prakash, Samit Ari, Saunak Samantray
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Academic Events
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Artificial Intelligence: Fundamentals and Engineering Applications
- Event Type: FDP
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Next Gen Communications: Fundamentals and Future Perspective
- Event Type: FDP
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AI-Driven Biomedical Signal Intelligence for Real-Time Smart Healthcare Systems
- Event Type: FDP
Fellowship
- UAEU SIP Research-to-Commercialization (R2C) Program 2026 – Selected for the Research-to-Commercialization Program hosted by the UAEU Science & Innovation Park, with AED 100,000 in funding (2025–2026).
- Junior Research Fellowship (JRF), NIT Rourkela – Worked as a Junior Research Fellow and Machine Learning Algorithms Developer (July 2017–March 2021) on the project “Development of Advanced Holter Monitor with Extended Recording and Episode Detection (HMD).”
- GATE Qualified: 2010, 2012, and 2013.