Special Session on
Intelligent Algorithmic Optimization for Smart Transportation and UAV Applications

Aim and Scope

This special session aims to explore the intersection of algorithmic optimization, intelligent transportation systems (ITS), UAV-based solutions, and infrastructure development. As urban mobility evolves with smart infrastructure, efficient algorithmic approaches are essential for optimizing traffic flow, autonomous vehicle coordination, UAV-assisted logistics, and sustainable infrastructure planning. The session will focus on AI-driven optimization methods, metaheuristic approaches, and computational intelligence techniques for designing resilient, adaptive, and scalable transportation infrastructures. It will also cover the role of UAVs in real-time traffic monitoring, infrastructure inspection, and emergency response. Topics of interest include but are not limited to:

• Optimization Techniques in ITS, including Traffic flow management, congestion control, predictive maintenance
• UAV-based traffic monitoring, road and bridge inspection, aerial surveys, surveillance systems
• Infrastructure Development for ITS and sensor-based urban mobility
• AI & ML for Traffic Prediction and Control
• Deep learning for traffic forecasting, reinforcement learning for adaptive traffic systems
• Multi-UAV Coordination in Transportation for logistics and surveillance
• Battery-aware optimization, green transportation planning
• Security frameworks, resilience against cyber threats in ITS infrastructure
• LLMs for Traffic Data Analysis and Decision Support
• LLMs for Intelligent Traffic Assistants and Driver Support Systems
• Multi-modal AI for Smart Transportation

Paper Submission

Potential authors may submit their manuscripts for presentation consideration through ICETCI 2025 submission system electronically at https://edas.info/N33232 , 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. Pawan Mishra: He is currently working as an Assistant Professor in Computer Science and Engineering at the Indian Institute of Information Technology Guwahati. He obtained his PhD in Computer Science and Engineering from the Indian Institute of Technology Guwahati in 2023. His primary research work focuses on designing approximation algorithms for NP-hard problems related to graph and computational geometry.

Email: pawan@iiitg.ac.in

Dr. Angshuman Jana: He is an Assistant Professor in the Department of Computer Science and Engineering at IIIT Guwahati, Assam, India. He has over ten years of experience in formal analysis and verification, with expertise in static code analysis, formal verification, and AI-driven security frameworks. He has published more than forty research papers in reputed international journals, including IEEE and Springer, and has presented his work at various conferences. His research primarily focuses on the development of static code analysis frameworks to detect runtime errors, vulnerabilities, and security flaws in IoT software. Additionally, he specializes in using formal verification techniques such as model checking, theorem proving, and symbolic execution to ensure software reliability and security. His current work integrates machine learning models for anomaly detection and adversarial resilience in IoT systems.

Dr. Vikas Bajpai is an Assistant Professor in the Department of CSE at The LNM Institute of Information Technology. In addition, he fulfills the role of Assistant Dean of Alumni Relations and Engagement and leads the Centre for Sports Technology, Engineering and Management (C-STEAM) at the University. Vikas is also the Lead for Google Developer's Group Jaipur and is a Mentor for Google India Community Mentorship. He has provided guidance to B.Tech. and M.Tech. Students in the areas of Machine Learning and Deep Learning. His research interests span Software Engineering, Requirements Engineering, and the development of deep learning models for predictive and estimative purposes. Vikas is an active speaker, delivering talks, expert lectures, and workshops at both national and international levels. Vikas has received several accolades, including grants and fellowships such as the Open Data Science Fellowship, sponsorship for Google I/O in 2014 and 2017, and the Science Foundation Ireland Grant. Additionally, in acknowledgment of his professional standing, he has been elevated to the status of IEEE Senior Member, Life Member CSI and ISTE.

Dr. Anukriti Bansal is currently working as a Data Scientist at LUMIQ, Noida. She has obtained her Ph.D. in Image Processing and Machine learning from the Indian Institute of Technology Delhi. She has nearly six years of experience as an Assistant Professor before transitioning into the industry. She is also a Google Developers Expert in AI/ML, actively contributing to the GenAI and ML/DL ecosystem through research, development, and community engagement. Her research interests include image processing, machine learning, natural language processing and generative AI.

Dr. Nilotpal Chakraborty is currently working as an Assistant Professor in Computer Science and Engineering at the Indian Institute of Information Technology Guwahati. He has obtained his PhD in Computer Science and Engineering from the Indian Institute of Technology Patna in 2019. He has worked as a Postdoctoral Researcher at the Department of Computer Science, Aalborg University, Denmark, and at EMAX Group, Belgium, as an IT Solution and Innovation Expert. His research interests include Scheduling and Optimization in smart grid, electric vehicles, unmanned aerial vehicles, AI and Blockchain for Cyber Physical Systems. He is an IEEE Senior Member.