NexSymp: 1st International Symposium on Interdisciplinary AI and Innovation (Innov-AI 2026)
Advancing Innovation Across Disciplines through AI
About the Symposium
Innov-AI 2026 forms the hub for NexSymp Summit 2026, an international symposium where various academic disciplines intersect to create opportunities for innovation and forward-thinking research. As one of several components in NexSymp’s extended multi-symposium model, Innov-AI leverages contributions from the five other symposia hosted for cross-disciplinary exchange.
For 2026, NexSymp Summit unites the following symposia across key domains:
Positioned at the intersection of these domains, Innov-AI 2026 encourages the convergence of ideas, enabling researchers, practitioners, and innovators to explore how emerging technologies can be applied across disciplines to address complex challenges.
Through this integrated approach, Innov-AI 2026 aims to spark collaborations, inspire transformative solutions, and shape the future of interdisciplinary research.
Interested domains of the symposium include but are not limited to:
- AI Governance, Ethics & Legal Frameworks (IT, Law, Social Sciences, Management)
- Digital Transformation & Smart Business (IT, Management, Law, Social Sciences, Creative Multimedia)
- Immersive Media, UX & Human-Computer Interaction (Creative Multimedia, IT, Social Sciences)
- Cybersecurity, Privacy & Policy (IT, Law, Management, Social Sciences)
- Sustainable Engineering & Society (Engineering, Social Sciences, Management, Law)
- Emerging Technologies & Engineering Innovation (Engineering, IT)
Committee
Assoc. Prof. Ir. Dr. Lee Lini @ Lini Lee (Chair, MMU Press)
Assoc. Prof. Dr. Dennis Khong Wye Keen (Editor-in-Chief, AJLP)
Dr. Yusnita Mohd Yusof (Managing Editor, AJLP)
Dr. Eliya Hamizah (Managing Editor, AJLP)
Dr. Vimala Perumal (Editor-in-Chief, IJCM)
Dr. Khong Chee Weng (Managing Editor, IJCM)
Prof. Dr. Tan Booi Chen (Editor-in-Chief, IJOMFA)
Mr. Chan Man Seong (Alvis) (Managing Editor, IJOMFA)
Prof. Dr. Wong Eng Kiong (Editor-in-Chief, IJORAS)
Dr. Wong Wai Kit (Managing Editor, IJORAS)
Assoc. Prof. Dr. Zauwiyah Ahmad (Editor-in-Chief, IPBSS)
Dr. Goh Mei Ling (Managing Editor, IPBSS)
Prof. Ts. Dr. Gerald Goh Guan Gan (Managing Editor, JCLC)
Dr. Sareen Kaur Bhar A/P Lakhbir Singh (Managing Editor, JCLC)
KEYNOTE SPEAKERS
Dr. Jayapradha J
Associate Professor
Institute of Science and Technology (SRMIST), Kattankulathur, India
Dr. Jayapradha J is an Associate Professor in the Department of Computer Science and Engineering at SRM Institute of Science and Technology (SRMIST), Chennai. She has three years of industry experience in the Business Intelligence domain, complemented by extensive academic and research experience in emerging areas of computing. Her research interests span Machine Learning, Data Mining, Databases, and Privacy-Preserving Technologies. She has published around 45 research articles in reputed journals and conferences and has authored five books.
Her contributions to research and innovation are further reflected in her intellectual property portfolio, comprising four published patents, five granted patents, and two patent applications filed. She has signed a Non-Disclosure Agreement (NDA) for the commercialization of a patented privacy-preserving framework titled “A Framework of Privacy-Preserving Data Publishing in Healthcare Records with Multiple Sensitive Attributes Using Heap Bucketization.” Dr. Jayapradha is also a Director of JSP Global Solutions Pvt. Ltd., a startup incubated at SRMIST, Chennai, where she actively contributes to technology development and research commercialization. Her work extends beyond academic research into technology translation and real-world deployment. One of her developed solutions, “Connected Car Solutions: Harnessing GPS for Comprehensive Vehicle Monitoring,” is currently live and being implemented across Cuddalore and Puducherry, demonstrating her commitment to transforming research outcomes into practical, industry-oriented solutions. With her blend of academic expertise, industry experience, research contributions, intellectual property, entrepreneurship, and technology commercialization, Dr. Jayapradha brings a strong interdisciplinary perspective to her invited talks and professional engagements.
INVITED SPEAKERS
Riddhi Mehta
Assistant Professor
Indrashil University
Riddhi Mehta is an Assistant Professor with Computer Science and Engineering Department, School of Engineering, Indrashil University, India. She is an active researcher in the area of AI, Computer Vision and Machine Learning.