— Special Session —
AI-Powered Health Ecosystems: Intelligent Systems for Adaptive, Equitable, and Preventive Care
This Special Session explores the next frontier in AI-powered health ecosystems — systems that are adaptive, decentralized, and equitable. We invite contributions integrating AI with Systems biology and public health data, Socio-behavioral modeling and digital therapeutics, and Health challenges in low-resource and cross-institutional contexts. The session emphasizes macro-level, policy-aware, and ethically grounded approaches, bridging AI with human-centered healthcare.
We welcome original research, position papers, and case studies on:
- Federated Learning & Privacy-Preserving AI
- Digital Twins for longitudinal patient modeling
- AI for Rural Triage, Screening, and Referral
- Infodemics & Public Health Sentiment Analysis
- AI Integration with EHRs, Wearables, Smart Diagnostics
- Socio-technical Models of Behavior & Risk
- Ethical & Policy-aware AI Frameworks
- Trustworthy & Interpretable AI in clinical contexts
- Scalable AI for low-resource settings
Organizing Committee:
- Prof. Rahul Katarya, Professor, Delhi Technological University, Delhi, India. Email: rahulkatarya@dtu.ac.in
- Prof. Gwanggil Jeon, Incheon National University, Incheon, South Korea. Email: gjeon@inu.ac.kr
- Prof. Sergei Sorokin, People’s Friendship University of Russia, Russia. Email: Sorokin_sv@pfur.ru
- Dr. Herkulaas Combrink, University of Free State, South Africa. Email: CombrinkHM@ufs.ac.za
- Dr. Kainat Khan, GL Bajaj Institute of Technology and Management, Greater Noida, India. Email: kainat.khan@glbitm.ac.in
Submission Link: https://edas.info/newPaper.php?c=34111&track=133159
Submission Deadline: September 30, 2025.
Prof. Rahul Katarya is a Professor in the Department of Computer Science and Engineering at Delhi Technological University (DTU), India. He has authored over 190 peer-reviewed publications in top international journals and conferences. Prof. Katarya, a Senior Member of IEEE, has been actively contributing to the IEEE community through various leadership and innovation-driven roles. He was selected as an Entrepreneurship Ambassador under the IEEE Region 10 Adhoc Committee on Entrepreneurship and Innovation (ACEI), representing the Delhi Section. As part of this role, and in collaboration with IEEE Delhi Section and IEEE Women in Engineering (WIE) AG Delhi Section, he co-organized a significant initiative—a One-Week Online Workshop on Innovation, Sustainability, and Leadership (WISL), held from July 14 to 18, 2025. This workshop was part of the Golden Jubilee Celebrations of the IEEE Delhi Section and aimed at fostering forward-thinking dialogue and capacity-building in these critical areas. Prof. Katarya also serves as an IEEE Proctor, guiding international student teams in the prestigious IEEEXtreme global online programming competition editions 15.0 through 18.0, reinforcing his commitment to mentoring and global technical engagement. His research spans a broad spectrum of areas including data science, deep learning, web mining, IoT, social network analysis, recommender systems, NLP, and AI applications in healthcare, climate change, and disaster management. Prof. Katarya serves as the Nodal Officer for the National Supercomputing Mission (NSM) at DTU, an initiative under MeitY and CDAC, Government of India, to advance high-performance computing and AI research. He also plays a key role in academic collaborations as the Nodal Officer for the MoU between DTU and South Asian University (SAU), facilitating joint research and sustainability-focused initiatives. His leadership in multidisciplinary projects reflects a deep commitment to using AI and computational intelligence for societal impact. In addition to guiding numerous Ph.D. scholars, he is actively engaged in mentoring research on software engineering, human behavior modeling, blockchain, and smart systems. Prof. Katarya is widely recognized for advancing real-world applications of Artificial Intelligence in both academic and National-International R&D ecosystems.
Prof. Gwanggil Jeon received the B.S., M.S., and Ph.D. (summa cum laude) degrees from the Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea, in 2003, 2005, and 2008, respectively. From 2009.09 to 2011.08, he was with the School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, Canada, as a Post-Doctoral Fellow. From 2011.09 to 2012.02, he was with the Graduate School of Science and Technology, Niigata University, Niigata, Japan, as an Assistant Professor. From 2014.12 to 2015.02 and 2015.06 to 2015.07, he was a Visiting Scholar at Centre de Mathématiques et Leurs Applications (CMLA), École Normale Supérieure Paris-Saclay (ENS-Cachan), France. From 2019 to 2020, he was a Prestigious Visiting Professor at Dipartimento di Informatica, Università degli Studi di Milano Statale, Italy. From 2019 to 2020 and 2023 to 2024, he was a Visiting Professor at Faculdade de Ciência da Computação, Universidade Federal de Uberlândia, Brasil. He is currently a professor at Incheon National University, Incheon. He was a general chair of IEEE SITIS 2023, and served as a workshop chairs in numerous conferences. Dr. Jeon is an Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Elsevier Sustainable Cities and Society, IEEE Access, Springer RealTime Image Processing, Journal of System Architecture, and Wiley Expert Systems. Dr. Jeon was a recipient of the IEEE Chester Sall Award in 2007, ACM’s Distinguished Speaker in 2022, the ETRI Journal Paper Award in 2008, and Industry-Academic Merit Award by Ministry of SMEs and Startups of Korea Minister in 2020.
Prof. Sergei Sorokin is a distinguished academic and researcher currently serving as Dean at Diplomat University, Tashkent, Uzbekistan, and as a Professor at the Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia. He holds a Ph.D. in Technical Sciences from Tashkent, Uzbekistan, a Candidate of Sciences (Ph.D.) in Computer Science (Russia), and an MPhil in Computer Science and Engineering from The Hong Kong University of Science and Technology (HKUST), Hong Kong SAR, China. His academic background includes a Master’s in Management from HSE University (Moscow, Russia) and a Bachelor’s (with Honors) in Computer Science from Penza State University (Russia). Dr. Sorokin’s research expertise spans computer science, artificial intelligence, human-AI collaboration, and image processing, with a focus on interdisciplinary applications such as tourism, education, and economic systems. He has authored over 52 peer-reviewed publications in prestigious journals and conferences, including IEEE/OSA Journal of Display Technology and International Journal of Humanities and Natural Sciences. Additionally, he holds three intellectual property registrations, including: a database for tourism and university rating systems, a computer program for evaluating academic performance among staff and rating university professors, and a mobile PWA (Progressive Web App) for student and teacher schedules.
Dr. Herkulaas Combrink hold a background in Health Science and Computer Science degrees (PhD) with a specialisation on Data science and Artificial Intelligence. He is the Co-Director – Interdisciplinary Centre for Digital Futures and the head of the Knowledge Mapping Lab – research focused on infodemics and human language technology innovation. The Lab has worked on several projects related to health systems and knowledge mapping, and continue to assist in managing infodemics, public health, and other societal impact projects. Dr Combrink works closely with several governments on projects that innovate solutions for health, human language technology and building machine learning based systems. Dr Combrink is also one of the Chairs for Risk Communication in South Africa using Artificial Intelligence.
Dr. Kainat Khan is an Assistant Professor in the Department of Computer Science and Engineering at GL Bajaj Institute of Technology and Management, Greater Noida, India. She holds a Ph.D. in Computer Science and Engineering from Delhi Technological University (DTU), with a specialization in AI-driven diagnostic frameworks for Autism Spectrum Disorder (ASD) using multimodal data fusion and deep learning. Her research has been published in top-tier journals including Journal of Computational Science, Journal of Neuroscience Methods, and Biological Psychology, with a focus on neuroimaging, optimization techniques, and healthcare analytics. She lead the Calibre_DTU research group, fostering interdisciplinary collaboration in artificial intelligence and data science across India. Her award-winning work on LSTM-Vision Transformer-based ASD detection was recognized at the 5th International Conference on Smart Sensors and Applications (ICSSA 2024) in Malaysia. She has served as a reviewer for several Elsevier and IEEE journals, and she is a frequent speaker at academic institutions and international conferences. Her core interests include healthcare informatics, explainable AI and neurodevelopmental disorders.