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  9. Dr. Allam Jaya Prakash
Dr. Allam Jaya Prakash

Dr. Allam Jaya Prakash

Designation: Assistant Professor

Biography:

Dr. Jaya Prakash is an academician and researcher working at the intersection of Artificial Intelligence, Electronics and Communication Engineering, biomedical signal processing, and deep learning. He received his Ph.D. from the National Institute of Technology Rourkela in 2024 with a CGPA of 8.97, with doctoral research focused on patient-specific ECG beat classification using deep learning techniques. He has academic and research experience across Adani University, United Arab Emirates University, VIT Vellore, NIT Rourkela, and other engineering institutions. His research includes ECG analysis, biomedical signal intelligence, machine/deep learning, healthcare AI, signal processing, biometric authentication, and intelligent communication systems. His CV records 1481 citations, an H-index of 22, an i10-index of 30, Senior Member IEEE status, recognition in the Stanford Top 2% Scientists list (2024), journal editorial responsibilities, patents, books, journal articles, conference publications, and invited expert/resource-person activities.

  • 2024 – Ph.D., National Institute of Technology Rourkela; CGPA 8.97. Area: Electronics & Communication – Artificial Intelligence.
  • 2010–2012 – M.Tech. in Digital Electronics and Communication Systems, GMR Institute of Technology (GMRIT), JNTU Kakinada, Andhra Pradesh; First Class with Distinction.
  • 2005–2009 – B.Tech. in Electronics and Communication Engineering, GITAS, JNTU Kakinada, Andhra Pradesh; First Class.
  • Master’s Thesis: “A New Approach to Time–Time Transform and Pattern Recognition of Non-stationary Signal Using Fuzzy Wavelet Neural Network.”

  • Aug. 2026–Till Today – Assistant Professor, Department of Information and Communication Technology, Adani University, Ahmedabad, India.
  • Aug. 2024–July 2026 – Post Doctoral Fellow, Department of Electrical and Communication Engineering, United Arab Emirates University, Al Ain, Abu Dhabi, UAE.
  • Sep. 2023–July. 2024 – Sr. Assistant Professor Gr-I, School of Computer Science and Engineering (SCOPE), VIT Vellore, Tamil Nadu, India.
  • July 2017–March 2021 – Junior Research Fellow (JRF) and Machine Learning Algorithms Developer, NIT Rourkela; project: “Development of Advanced Holter Monitor with Extended Recording and Episode Detection (HMD)”.

  • Artificial Intelligence and Machine Learning
  • Deep Learning and Explainable AI
  • Biomedical Signal Processing and Healthcare AI
  • ECG Signal Analysis and Patient-Specific Beat Classification
  • Photoplethysmography (PPG) and Non-Invasive Blood Glucose/Blood Pressure Estimation
  • Biometric Authentication and Intelligent Healthcare Systems
  • Computer Vision and Medical Image Analysis
  • Signal Processing, Pattern Recognition and Edge AI
  • IoT Healthcare and Real-Time Intelligent Systems
  • Reconfigurable SDR, 5G/6G and Machine Learning for Communications

  1. Panigrahi A, Mukherjee A, Sharma H and Allam Jaya Prakash, “Information fusion for contactless respiration: Combining facial imaging photoplethysmography and upper-torso motion in canonical subspace,” Computers and Electrical Engineering, vol. 139, Art. no. 111391, 2026.
  2. Allam Jaya Prakash, M. Atef, “A Lightweight Deep Learning Approach for Patient-Specific Electrocardiogram Beat Classification Using Local and Long-Term Dependencies,” Engineering Applications of Artificial Intelligence, vol. 152, 2025, Art. no. 110754.
  3. Hanan Abdelmotagally, Allam Jaya Prakash, Rabah Iratni, Mohamed Atef, and Mousa Hussein, “DieleNet: Dielectric Properties Based Breast Cancer Classification Using Deep Learning,” Biomedical Signal Processing and Control, vol. 113, 2026, Art. no. 108981.
  4. Allam Jaya Prakash, Nasreddine Belkacem A, Elfadel IM, Jelinek HF and Atef M, “Advances in machine and deep learning for ECG beat classification: a systematic review,” Frontiers in Digital Health, 7:1649923, 2025.
  5. Jagadeesh Thati, Allam Jaya Prakash, and Samit Ari, “AdU-Net: A Novel Approach for Glacial Lake Extraction and Outburst Risk Evaluation using Satellite Imagery,” IEEE Transactions on Artificial Intelligence, Early Access.
  6. Kiran Kumar Patro, Allam Jaya Prakash, Sandeep Madarapu, Samit Ari, Sidheswar Routray, Amrit Mukherjee, Shailendra Mishra, “MalNet-DAF: Dual-Attentive Fusion Deep Learning Model for Malaria Parasite Classification,” IEEE Journal of Biomedical and Health Informatics, Early Access.
  7. Allam Jaya Prakash, K. K. Patro, P. Ingle, J. J. Pujari, S. Routray and R. H. Jhaveri, “BreastCancerNet: Flask-Enabled Attention-Driven Hybrid Dual DNN Framework for Real-Time Breast Cancer Prediction,” IEEE Journal of Biomedical and Health Informatics, Early Access, 2025.
  8. Allam Jaya Prakash, Suraj Prakash Sahoo, and Samit Ari, “Multi-stream Bi-GRU Network to Extract a Comprehensive Feature Set for ECG Signal Classification,” Biomedical Signal Processing and Control, vol. 92, 2024.
  9. Allam Jaya Prakash, Saunak Samantray, and Samit Ari, “A Deformable CNN Architecture for Predicting Clinical Acceptability of ECG Signal,” Biocybernetics and Biomedical Engineering, vol. 43, 2023.
  10. Allam Jaya Prakash, Kiran Kumar Patro, Samantray Saunak, Pradipta Sasmal, P. Lalitha Kumari, and Tummalapalli Geetamma, “A New Approach of Transparent and Explainable Artificial Intelligence Technique for Patient-Specific ECG Beat Classification,” IEEE Sensors Letters, 2023.
  11. Allam Jaya Prakash, Kiran Kumar Patro, Saunak Samantray, Paweł Pławiak, and Mohamed Hammad, “A Deep Learning Technique for Biometric Authentication using ECG Beat Template Matching,” Information, vol. 14, no. 2, p. 65, 2023.
  12. Allam Jaya Prakash, “Capsule Network for the Identification of Individuals Using Quantized ECG Signal Images,” IEEE Sensors Letters, vol. 6, no. 8, Art. no. 7003004, 2022.
  13. Allam Jaya Prakash, KK Patro, M Hammad, R Tadeusiewicz, P Pławiak, “BAED: A secured biometric authentication system using ECG signal based on deep learning techniques,” Biocybernetics and Biomedical Engineering, vol. 42, no. 4, 2022.
  14. Allam Jaya Prakash, Samantray Saunak, and Ari Samit, “SpEC: A system for patient-specific ECG beat classification using a deep residual network,” Biocybernetics and Biomedical Engineering, 40(4), 2020.
  15. Allam Jaya Prakash, “Few-Shot Bioacoustics Event Detection using Transudative Inference with Data Augmentation,” IEEE Sensors Letters, vol. 8, no. 3, 2024.
  16. L. A. Kavya, Y. K. Karuna, S. S. Saritha, Allam Jaya Prakash, K. K. Patro, Suraj Prakash Sahoo, Ryszard Tadeusiewicz, Paweł Pławiak, “A Review of Shockable Arrhythmia Detection of ECG Signals Using Machine and Deep Learning Techniques,” International Journal of Applied Mathematics and Computer Science, vol. 34, no. 3, 2024.
  17. Kiran Kumar Patro, Allam Jaya Prakash, Jaya Prakash Sahoo, Sidheswar Routray, Abdullah Baihan, Nagwan Abdel Samee, Gaojian Huang, “SMARTSeiz: Deep Learning with Attention Mechanism for Accurate Seizure Recognition in IoT Healthcare Devices,” IEEE Journal of Biomedical and Health Informatics, 2023.
  18. Sasmal, Pradipta, Vanshali Sharma, Allam Jaya Prakash, M. K. Bhuyan, Kiran Kumar Patro, Nagwan Abdel Samee, Hayam Alamro, “Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images,” Information Sciences, vol. 658, 2023.
  19. MI Junaid, Allam Jaya Prakash, and Samit Ari, “Human gait recognition using joint spatiotemporal modulation in deep convolutional neural networks,” Journal of Visual Communication and Image Representation, vol. 105, 2024.
  20. Patro, K.K., Allam Jaya Prakash, Sanapala, U., et al., “An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques,” BMC Bioinformatics, vol. 24, no. 372, 2023.
  21. Kiran Kumar Patro, Allam Jaya Prakash, Bala Chakravarthi Neelapu, Ryszard Tadeusiewicz, U. Rajendra Acharya, Mohamed Hammad, Ozal Yildirim, and Paweł Pławiak, “Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images,” Information Sciences, vol. 640, 2023.
  22. Kiran Kumar Patro, Allam Jaya Prakash, “SCovNet: A Skip Connection-based Feature Union Deep Learning Technique with Statistical Approach Analysis for the Detection of COVID-19,” Biocybernetics and Biomedical Engineering, vol. 43, no. 1, 2023.
  23. Haytham Al Ewaidat, Nagwan Abdel Samee, Jaya Prakash Allam, Kiran Kumar Patro, Paweł Pławiak, Noha F. Mahmoud, Mohamed Hammad, “The Knowledge and Perception about COVID-19 among Medical Imaging Professionals,” Health & Social Care in the Community, 2023.
  24. KR Pedada, B Rao, KK Patro, Allam Jaya Prakash, MM Jamjoom, NA Samee, “A novel approach for brain tumour detection using deep learning based technique,” Biomedical Signal Processing and Control, vol. 82, 2023.
  25. Hiremath, Shivashankar, Eeshan Shetty, Allam Jaya Prakash, Suraj Prakash Sahoo, Kiran Kumar Patro, Kandala NVPS Rajesh, and Paweł Pławiak, “A New Approach to Data Analysis Using Machine Learning for Cybersecurity,” Big Data and Cognitive Computing, vol. 7, 2023.
  26. Kiran Kumar Patro, Allam Jaya Prakash, Saunak Samantray, Joanna Pławiak, Ryszard Tadeusiewicz, Paweł Pławiak, “A Hybrid Approach of Deep Learning Technique for Real-time ECG Beat Classification,” International Journal of Applied Mathematics and Computer Science, vol. 32, no. 3, 2022.
  27. Hammad, Mohamed, Samia Allaoua Chelloug, Reem Alkanhel, Allam Jaya Prakash, Ammar Muthanna, Ibrahim A. Elgendy, and Paweł Pławiak, “Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model,” Sensors, vol. 22, no. 17, 2022.
  28. Sahoo, Allam Jaya Prakash, P. Pławiak and S. Samantray, “Real-Time Hand Gesture Recognition Using Fine-Tuned Convolutional Neural Network,” Sensors, vol. 22, no. 3, 2022.
  29. Kiran Kumar Patro, Allam Jaya Prakash, M. Jayamanmadha Rao & P. Rajesh Kumar, “An Efficient Optimized Feature Selection with Machine Learning Approach for ECG Biometric Recognition,” IETE Journal of Research, 2020.
  30. Govinda Rao Locharla, Jaya Prakash Allam, Y.V Narayana, and Yellapu Anusha, “Review of the Convolution Neural Network Architectures for Deep Learning,” IJAST, vol. 29, no. 04, 2020.
  31. B.V.P, Allam Jaya Prakash, Chinara Suchismita, “Deep Review of Machine Learning Techniques on Detection of Drowsiness using EEG Signal,” IETE Journal of Research, 2021.
  32. Sinha, Vikas K., Kiran K. Patro, Paweł Pławiak, and Allam Jaya Prakash, “Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor,” Sensors, vol. 21, 2021.
  33. Kiran Kumar Patro, Allam Jaya Prakash, “Detection of Cardiac Abnormalities in ECG Signal using Time-based Signal Processing Algorithm,” International Journal of Computational Vision and Robotics, vol. 15(1), pp. 59–74, 2025.

  1. Alyazya Aleissaee, Bashyer Al Kalbani, Jannah Alfalasi, Maitha Alyileili, Noura Alahbabi, Allam Jaya Prakash, and Mohamed Atef, “A Hybrid CNN–SVR Framework for Non-Invasive Blood Glucose Estimation Using Photoplethysmography Signals,” ICERAI 2026, UAE, 2026.
  2. Allam Jaya Prakash and Mohamed Atef, “Multi-Scale Feature Extraction for ECG Beat Classification Using a CNN–Transformer Network with Imbalance Mitigation,” IEEE ISCAS 2025, London, UK.
  3. Abdullah Khawatmi, Allam Jaya Prakash, and Mohamed Elsayed A. Atef, “Cuffless Blood Pressure Estimation Using Hybrid Deep Learning with Residual CNNs and Multi-Head Attention,” IEEE BioCAS 2025, Abu Dhabi, UAE.
  4. Allam Jaya Prakash, Abdelkader Nasreddin Belkacem, Herbert F. Jelinek, Ibrahim M. Elfadel, and Mohamed Elsayed A. Atef, “Multimodal Signal Edge-Optimised Deep Learning Model for Real-Time Auditory Attention Classification,” IEEE BioCAS 2025, Abu Dhabi, UAE.
  5. Biswal B. and Allam Jaya Prakash, “A New Approach to Time–Time Transform and Pattern Recognition of Non-Stationary Signal Using Fuzzy Wavelet Neural Network,” FICTA, Springer.
  6. Allam Jaya Prakash and Samit Ari, “AAMI Standard Cardiac Arrhythmia Detection with Random Forest Using Mixed Features,” IEEE INDICON 2019, Rajkot, India.
  7. Allam Jaya Prakash, Saunak Samantray, and Samit Ari, “A Light Weight Deep Learning based Technique for Patient-Specific ECG Beat Classification,” ICMACC-2022; awarded Best Paper.

  1. Allam Jaya Prakash, Kiran Kumar Patro, and Pawel Plawiak, “Cutting-edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution-based Approaches,” 1st ed., Academic Press, Elsevier, Jan. 27, 2026. Paperback ISBN: 9780443330827; eBook ISBN: 9780443330834.
  2. Karthik K, Allam Jaya Prakash, M. S. Krishnamurthy, Ranjithkumar S, Mehfooza, and M. Benazir (eds.), “Artificial Intelligence for Healthcare: Methods, Tools, and Case Studies,” Bentham Science, editing stage 2026–2027.

  1. Kiran Kumar Patro, Allam Jaya Prakash, Babji Prasad Chapa, P. Lalitha Kumari, Mohamed Hammad, “Artificial intelligence-based biometric authentication using ECG signal,” Artificial Intelligence for Biometrics and Cybersecurity, pp. 123–147, 2023.
  2. Allam Jaya Prakash and Ari, S., “A system for automatic cardiac arrhythmia recognition using electrocardiogram signal,” Bioelectronics and Medical Devices, pp. 891–911, 2019.
  3. Allam Jaya Prakash, Saunak Samantray, C. H. Laxmi Bala, and Y.V. Narayana, “An Automated Diagnosis System for Cardiac Arrhythmia Classification,” CRC Press, 2021.
  4. Allam Jaya Prakash, S. Samantray, C. Behara, K. Kurkute and V. Sinha, “Customized deep learning algorithm for drowsiness detection using single-channel EEG signal,” Artificial Intelligence-Based Brain-Computer Interface, Elsevier, pp. 189–201, 2022.
  5. Allam Jaya Prakash, Samantray Saunak, and Ari Samit, “Patient-Specific ECG Beat Classification using EMD and Deep Learning based Technique,” Advanced Methods in Biomedical Signal Processing and Analysis, Elsevier.
  6. Allam Jaya Prakash, Samantray Saunak, and Ari Samit, “Empirical Wavelet Transform and Deep Learning based Technique for ECG Beat Detection,” Advanced Methods in Biomedical Signal Processing and Analysis, Elsevier.
  7. G. Locharla, R. Pogiri and Allam Jaya Prakash, “EEG-based deep learning neural net for apnea detection,” Artificial Intelligence-Based Brain-Computer Interface, Elsevier, pp. 203–215, 2022.

  1. US Patent Application No. 19/679,968, filed 18 May 2026: “System and method for continuous non-invasive blood glucose monitoring using a mobile computing device based on a multi-wavelength PPG signal,” United Arab Emirates University; inventors Mohamed Atef Elsayed Abdelaal, Asmaa Hosni, Jaya Prakash Allam. Utility patent submitted, 2026.
  2. UAE Patent Application No. P2026-01691: “System and method for continuous non-invasive blood glucose monitoring using a mobile computing device based on a multi-wavelength PPG signal,” based on US 19/679,968; United Arab Emirates University. Submitted 2026.
  3. Great Britain Patent Application No. 645639, publication date 15 July 2025: “Multi-Branch Biometric Sensor for ECG Authentication,” granted 2025.
  4. Great Britain Patent Application No. 6456397, publication date 15 July 2025: “Compact Computer Tool for Edge Node Allocation in Open RAN,” granted 2025.
  5. Indian Patent No. 419543-001: “Smart Glasses for Enhanced Navigation and Accessibility for the Visually Impaired,” submitted 10 June 2024; granted 2025.
  6. Indian Patent No. 202231071330: “A mobile based cardiac health monitoring system using deep residual network,” submitted 10 December 2022; granted 2022.
  7. Indian Patent No. 422399-001: “Object Detection and Navigation Device,” submitted 5 July 2024; FER submitted.

  1. Research/project experience includes the NIT Rourkela HMD project (“Development of Advanced Holter Monitor with Extended Recording and Episode Detection”) and selection for the UAEU SIP Research-to-Commercialization (R2C) Program 2026 with AED 100,000 funding.

  1. 2021–2022 – Advisor on the board for MEDTL, Cyprus, for machine and deep learning techniques development in a web-based ECG signal processing graphical user interface (GUI).

  1. Served as a resource person for the UGC-MMTTC Online Refresher Course “AI & ML Techniques: Concepts, Applications & Sustainable Development,” including the session “AI-Driven Biomedical Signal Intelligence for Real-Time Smart Healthcare Systems,” January 2026.
  2. Resource person for the ATAL FDP “Future Intelligent Network Toward 6G: 5G and Beyond with Reconfigurable SDR and Machine Learning,” NIT Rourkela, November 2025.
  3. Invited/featured speaker for workshops and FDPs on distributed energy resources, AI in healthcare, next-generation communications, and AI/IoT for smart healthcare systems during 2024–2026.
  4. Delivered an Employee Development Program session on “Ethics and Best Practices in Writing for High-Impact Journals,” VIT Andhra Pradesh, March 2026.
  5. Industry Expert Talk on “Artificial Intelligence: Fundamentals and Engineering Applications,” Manipal University Jaipur, February 2026.

  • Listed in Stanford Top 2% Scientists – 2024.
  • Senior Member, IEEE – 2024.
  • Best Paper Award, ICMACC-2022 IEEE Conference.
  • GATE qualified in 2010, 2012 and 2013.

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