P3734, AI-Safety for Police Pursuit Vehicles WG
Establishing technical integrity for AI-enabled emergency response.

Members

Chair – WG Officers:

Raghu C. Nallapati

is a visionary Doctoral Researcher at the University of Michigan and a Software Team Lead at General Motors, specializing in automotive embedded systems, artificial intelligence, software engineering, and machine learning. His work advances safety-critical applications in automotive and law enforcement domains, with a focus on building reproducible, ethical, and nationally impactful AI solutions.

At GM, Raghu leads cross-functional teams developing scalable embedded intelligence for law enforcement, autonomous vehicles, and electric vehicles. His doctoral research, supported by collaboration with law enforcement agencies, bridges cutting-edge academic innovation with real-world deployment, ensuring that AI systems meet rigorous standards of safety, privacy, and reliability.

Raghu’s contributions extend beyond industry and academia. He serves in leadership roles with IEEE and SAE, shaping technical standards and mentoring the next generation of engineers. His expanding portfolio includes technical paper reviewing, committee leadership, and proposal development for projects aligned with national priorities in public safety and transportation.

Known for his methodical approach and strategic foresight, Raghu has authored and refined proposals that integrate AI into smart fleet architectures, border security, and law enforcement monitoring systems. His work consistently emphasizes reproducibility, ethical responsibility, and measurable societal benefit.

Through his combined roles as researcher, innovator, and leader, Raghu is recognized as a driving force in advancing privacy-preserving AI for safety-critical domains. His career reflects a rare blend of technical depth, organizational leadership, and national impact, qualities that position him as a distinguished contributor to the global AI and automotive ecosystem.

 

Program Manager:

Patricia Roder

is a Senior Program Manager at IEEE, where she plays a pivotal role in advancing global standards and safety initiatives across the power and energy sector.

With a career rooted in technical program leadership, Patricia has contributed to numerous IEEE working groups and standards committees, including the Computer Society’s Software and Systems Engineering Standards Committee. She currently manages programs such as the development of IEEE P3407, a standard focused on end to end software testing automation tools, an effort that reflects her commitment to operational safety, risk mitigation, and sustainable engineering practices.

Patricia’s influence spans both strategic coordination and technical execution. She has facilitated joint development meetings between IEEE and other organizations like the Illuminating Engineering Society (IES), helping align standards across industrial lighting, power distribution, and public policy domains. Her ability to bridge diverse stakeholder interests, from academia and industry to regulatory bodies, underscores her strength in collaborative leadership.

In her role, Patricia ensures that IEEE’s standards development processes remain inclusive, transparent, and responsive to emerging challenges in electrical safety and infrastructure modernization. She is known for her attention to detail, organizational foresight, and dedication to empowering technical communities through well-governed programs.

Whether supporting joint development efforts between IEEE and IEC on measurement procedures for the assessment of the absorption rate of exposure to radio frequency fields or managing the development of a standard for electric traction systems for short primary maglev vehicles, Patricia’s work consistently reflects a deep commitment to engineering excellence and public benefit.