Keynote Speakers

NIIS 2026 features distinguished keynote speakers from leading institutions and companies worldwide. These visionary leaders will share insights on cutting-edge developments in integrated and intelligent systems.

Keynote Speakers

Prof.(Dr.) Devesh Jinwala

Professor, SVNIT

Pioneering research in AI and human-centered artificial intelligence. Leading expert on machine learning and its societal impact.

Topic: to be announced

Dr. Fakhrul Yusoff

Associate Professor, UNITAR, Malaysia

Expert in responsible AI, computer vision, and emerging digital technologies, advancing ethical and human-centered AI innovation.

Topic: to be announced

Expert Speakers

Dr. Ankit Oza

Department of Technical Sciences, Western Caspian University, Baku, Azerbaijan

Expert in Smart Manufacturing and Automation.

Topic: to be announced

Dr Hussain Mahdi

Professor, Department of Computer Engineering, College of Engineering, University of Diyala, Iraq

Expert in Wireless Sensor Networks, IoT, Wireless/Vehicular Networks, AI/ML, Cybersecurity and Blockchain

Topic: to be announced

Dr. Rahul Pandya

Professor, IIT Dharwad

Expert in AI ethics and bias. Advocating for responsible AI development and diverse perspectives in technology.

Topic: to be announced

Dr. U. S. N. Raju

Passociate Professor,Dept. of CSE, National Institute of Technology Warangal

Expert in computer vision, quantum image processing, and machine learning, driving research in intelligent image analysis and AI-powered systems.

Topic: to be announced

Dr. Hitesh Shrimali

Professor, School of Computing and Electrical Engineering, IIT Mandi

Expert in analog and mixed-signal VLSI design, radiation-hardened circuits, and semiconductor technologies for next-generation electronic systems.

Topic: to be announced

Dr. Mehul S. Raval

Professor, Ahmedabad University

Leading academic and researcher with 27+ years of experience in Electronics and Communication Engineering, ICT, and Computer Science, specialising in computer vision, image processing, machine learning, data analytics, and engineering education.

Topic: to be announced