Special Session Proposal on
Smart Autonomous Mobility & Cyber-Physical Security

Aim and Scope

Research on autonomous technologies is increasing across transportation, robotics, industrial IoT (IIoT), and health care. Transportation is one of the emerging research fields. The technical advancements in intelligent autonomous mobility are to be explored. Moreover, the autonomous mobility should also focus on security, safety, robustness and trust. Focusing on these aspects, the special session aims to provide a platform for researchers in this field to present innovative solutions that integrate artificial intelligence, decision-making, and security mechanisms. Further, the research aims to build resilient, trustworthy autonomous vehicles.

The research on intelligent autonomous systems integrates the fields including artificial intelligence (AI), machine learning, computer vision, sensor fusion, and decision making. Through these approaches it is possible to execute autonomous systems with less manual intervention. However, the deployment of such systems should overcome the external threats including cyber-attacks, system failures, privacy risks, and adversarial manipulations.

The research aspects and current challenges in intelligent autonomous mobility covering the following topics are chosen for this special session.

Topics of interest include, but are not limited to:

• AI-driven perception and decision-making in autonomous systems
• Secure control architectures for autonomous platforms
• Cybersecurity in autonomous vehicles and robotics
• Adversarial machine learning and defense mechanisms
• Secure multi-agent coordination and swarm intelligence
• Trustworthy AI and explainable AI (XAI) for safety-critical systems
• Blockchain and distributed trust frameworks
• Resilient cyber-physical systems
• Intrusion detection for autonomous networks
• Secure IoT integration in autonomous environments
• Edge intelligence and real-time secure processing
• Digital twins for validation and security testing

Paper Submission

Potential authors may submit their manuscripts for presentation consideration through ICETCI 2026 submission system electronically at https://edas.info/N34670 , following the conference guidelines. All submissions will go through peer review process. To submit your paper to this special session, you have to choose our special session title on the submission page.

Important Dates

Organizers

Dr. Vishnu Srinivasa Murthy Y., received his PhD degree from National Institute of Technology Karnataka, India in 2019. Currently, he is working as an Associate Professor at Manipal Institute of Technology Bengaluru, MAHE. Before that, he worked at Vellore Institute of Technology, Vellore, Tamil Nadu, India. He worked at various recognized institutions and having a total experience of 17 years in the teaching and research field. He is currently working on various research fields that include Internet of things (IoT), machine learning (ML), advanced driver assistance systems (ADAS), recommender systems, content-based music information retrieval (CB-MIR), design of novel algorithms, optimization techniques, computer vision, etc. He published around 60 research articles in various reputed journals and conferences. ACM computing surveys (CSUR) is one among them having A* rank and having 16 impact factor. He is an expert in delivering hands-on sessions on Various fields of computer science. He is a senior member of IEEE.
E-mail:vishnu.murthy@manipal.edu

Dr. Gauri Kalnoor received B.E., M.Tech, and Ph.D. degrees in computer science and engineering from Visvesvaraya Technological University, Belagavi, in 2008, 2010, and 2022, respectively. Since 2012, she has been working as an Assistant Professor with the Department of Computer Science and Engineering in various engineering colleges and universities. She is currently an Assistant Professor with the Department of Computer Science and Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education. She is the author of three books and more than 50 articles. She holds three patents. Her research interests include the Internet of Things, machine learning, artificial intelligence, and network security. She was a recipient of the Young Fellow Award from the International Award Conference on Multi-Disciplinary Research and Application, in 2019, and the Best Paper Awards from the IEEE International Conferences, in 2016 and 2020. She is an Editor of the International Journal of Algorithms Design and Analysis.
E-mail:gauri.kalnoor@manipal.edu

Dr. Soumyalatha Naveen is an Assistant Professor- Senior Scale in the School of Computer Engineering at Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India. She received her B.E. degree in Computer Science and Engineering and Master’s degree from Visvesvaraya Technological University, Belgaum, India, and her Ph.D. degree in the area of Edge Intelligence from REVA University, Bengaluru, India. She has over 15 years of combined experience in academia and industry. She is a Senior Member of IEEE and has authored and co-authored more than 50 research articles in reputed peerreviewed international journals and conferences. She also serves as a reviewer for several leading journals. Her research interests include artificial intelligence, deep learning, edge computing, Internet of Things , intelligent IoT systems, optimization techniques for resource-constrained IoT devices, large language models, agentic AI, and quantum computing.
E-mail:soumyalatha.naveen@manipal.edu

Prof. Linga Reddy Cenkeramaddi received his MS degree from the Indian Institute of Technology Delhi in 2004 and his Ph.D. in Electrical Engineering from the Norwegian University of Science and Technology (NTNU), Norway, in 2011. He is currently a Professor and Leader of the Autonomous and Cyber-Physical Systems (ACPS) Research Group at the University of Agder, Norway. His research interests include IoT, cyber-physical systems, autonomous systems, robotics, advanced sensing, computer vision, wireless sensor networks, and intelligent transportation systems. He has authored more than 300 research publications in leading journals and conferences and has supervised several award-winning graduate theses. Prof. Cenkeramaddi is a Senior Member of IEEE and a member of ACM, serves on multiple editorial boards and technical program committees, and has led numerous research projects funded by the Norwegian Research Council.
E-mail:linga.cenkeramaddi@uia.no