Saibabu Merakanapalli

Software-Defined Vehicles: Building the Next Generation of Safe, Intelligent, and Connected Mobility

Abstract:

Abstract:The automotive industry is undergoing a fundamental transformation from hardware-centric vehicle development toward software-defined vehicle (SDV) architectures that enable greater intelligence, connectivity, adaptability, and safety. This keynote explores how next-generation vehicle architectures are being shaped by centralized computing, AUTOSAR-based software platforms, service-oriented communication, AI-driven diagnostics, and intelligent steer-by-wire and brake-by-wire technologies. The session will discuss the role of functional safety, fault-tolerant design, predictive diagnostics, and cybersecurity in developing reliable software-defined vehicles. It will also examine how artificial intelligence and data-driven approaches can improve fault detection, system health monitoring, and decision-making for safety-critical vehicle functions. Special attention will be given to the evolution from traditional distributed electronic control units toward scalable and service-oriented vehicle architectures, as well as the engineering challenges associated with integrating steering, braking, ADAS, and other safety-critical systems. The keynote will highlight practical approaches for achieving reliable communication, graceful degradation, system- level fault management, and safe vehicle operation. Finally, the presentation will discuss how these technologies collectively contribute to the future of safe, intelligent, connected, and continuously evolving mobility, while identifying key opportunities and engineering challenges that researchers, automotive engineers, and technology developers must address as software increasingly defines vehicle functionality.

Profile:

Saibabu Merakanapalli is an experienced automotive technology professional specializing in the architecture and development of next-generation software-defined and safety-critical vehicle systems. He holds a Master of Science in Electrical and Computer Engineering and currently serves as an Electrical Functional System Architect at a leading global automotive OEM, where his work focuses on advanced vehicle electrical and software architectures.

Through his extensive industry experience and outstanding professional and scholarly achievements in advanced automotive technologies, he has developed specialized expertise in Software-Defined Vehicles (SDVs), AUTOSAR Classic and Adaptive architectures, functional safety, AI-driven diagnostics, Advanced Driver Assistance Systems (ADAS), Electronic Power Steering (EPS), and steer-by-wire and brake-by-wire technologies. His technical interests center on designing reliable, fault-tolerant, and intelligent vehicle architectures that integrate software, electronics, communication networks, and safety-critical control functions. He is an IEEE Senior Member and actively contributes to the international engineering and research community through scholarly publications and technical peer review. He has authored multiple international journal and conference publications addressing emerging automotive technologies, including software-defined vehicle architectures, intelligent wire-control systems, vehicle safety, AI- assisted diagnostics, and advanced control systems. He also contributes as a peer reviewer for international journals and technical conferences, supporting the evaluation and advancement of engineering research. Saibabu is also the author of Safety Mechanism and AI-Enhanced Diagnostics for Steering and Braking Control in Software Defined Vehicles, a technical book intended to help entry-level automotive engineers, researchers, and academic students better understand emerging vehicle architectures, functional safety concepts, intelligent diagnostics, and the evolution of steering and braking technologies. His broader professional and research interests are focused on the convergence of automotive systems engineering, artificial intelligence, functional safety, connected vehicle technologies, and software-defined architectures, with the goal of contributing to safer, more intelligent, reliable, and connected mobility systems.