Special Session 7

SS07.  From Models to Mobility: MBSE for Smart Transport

Abstract

The proposed session focuses on the application of Model-Based Systems Engineering (MBSE) in the design, integration, and validation of smart transportation systems, particularly in the context of electric mobility (e-mobility). With increasing system complexity and multi-domain dependencies—spanning vehicles, charging infrastructure, distributed energy resources (DERs), and smart grids—MBSE offers a structured, simulation-driven approach to engineering these systems from concept to deployment. The session will highlight how MBSE supports architecture definition, system verification, safety analysis, and lifecycle management for sustainable mobility solutions. 

Core Themes

• Model-Based Design of EV and Charging Systems

• System Architecture for E-Mobility Integration

• MBSE Tools for DER and V2G Coupling

• Digital Twins and Simulation-Based Validation

• Lifecycle Management of Transport Energy Systems

Biography

Dr. Dheeraj D is a research associate at AI & decentralized computing centre and associate professor at Atria University. He holds a Ph.D. from VTU, Belagavi with over 16 years of teaching and research experience in AI and Augmented Reality. His research interests include agentic AI, climate adversaries, renewable energy, data science, deep learning, optimization, hyper-parameter tuning, parallel processing, augmented reality, data engineering, and system design. Dr. Dheeraj has authored 40+ publications in peer reviewed journals and conferences with 2 patents granted, and 3 published. He authored and updated the book Introduction to Computing and Programming in Python with Pearson, co-wrote Compiler Design, and Fundamentals of Machine Learning and AI. He is also a recognized mentor and jury at BiTes Xcellerator Project competition at the national level, Smart India Hackathon (SIH). Dr. Dheeraj is a trainer in Java, Python, and full stack technology certified by Sun Microsystems, Infosys, and Wipro. He is a life member of IAENG, IFERP, MISTE, ISTE, and IACSIT.

Dr. Prashanth H. S.: With over 25 years of experience in instruction, training, and research, I am a dedicated Research Professor at a university in Bangalore. I have previously served at top NIRF-ranked institutions, with a focus on machine learning and signal processing, including areas such as data communication, image/video processing, computer vision, NLP, GANs, diffusion models, and time series forecasting. I have mentored 150+ UG, 25+ PG students, and 5 PhD scholars (3 awarded, 2 pursuing), across domains like remote sensing, hyperspectral imaging, biomedical signal processing, and AI/ML. I have authored 100+ research papers, hold 11 patents, and am a Senior Member of multiple IEEE societies. I serve on editorial boards, technical program committees, and have held EXECOM roles in IEEE SPS, Sensor Council, and CEDA. I hold a PhD in Signal and Image Processing from Anna University and have completed advanced certifications in AI and Data Science from IIT Madras and IIT Guwahati.

Dr. Pushpendra Singh serves as Program Director and Professor of Energy Sciences at Atria University, Bengaluru. He holds a Ph.D. and M.Tech from MNIT Jaipur and brings over two decades of experience in teaching, research, and academic leadership. He has held key positions including Principal and Head of Department and previously served at JK Lakshmipat University, JECRC Jaipur and Sunrise Group of Institutions, Udaipur.

Dr. Singh has authored over 100 research papers in reputed journals and conferences, with 18 patents granted, 5 published, 5 copyrights, and 14 media articles featured in Times of India and Financial Express etc. He has supervised four Ph.D. scholars, one more thesis submitted and three ongoing. He is a Fellow of IE(India), Chartered Engineer, and Senior Member of IEEE and IIIE. His research interests include smart grids, DER integration, power quality, electric vehicles, and system stability. He is also an editorial and advisory board member of several international journals and a reviewer for reputed publications.