Advisory Board

Dr. Venkata Tulasiramu Ponnada


Dr. Venkata Tulasiramu Ponnada, an esteemed researcher in safety critical systems from Collins Aerospace, stands as a luminary in industry and research, having earned a Ph.D. from Acharya Nagarjuna University from India. Over 17 years, Dr. Venkata has been dedicated to advancing knowledge within safety critical systems aerospace and health care implementation, machine learning and software engineering, earning global acclaim for their impactful research. A dedicated software leader, Dr. Venkata inspires the next generation of scholars with a focus on embedded safety critical system implementation and machine learning solution implementations for safety critical systems, evident in both the industry and a prolific list of publications. Renowned as a captivating speaker, Dr. Venkata continues to shape the future of next generation aerospace and health care products, leaving an indelible mark on the software industry landscape.




In safety-critical industries such as aviation and healthcare, the design and implementation of systems demand rigorous adherence to regulatory standards to ensure the highest levels of safety and reliability. This presentation explores the key considerations and challenges in developing safety-critical systems in accordance with the standards set forth by the Federal Aviation Administration (FAA) and the Food and Drug Administration (FDA).

The FAA’s stringent regulations for aviation safety necessitate a comprehensive approach to system design, encompassing hardware, software, and human factors. This paper discusses the importance of system architecture that incorporates redundancy, fault tolerance, and fail-safe mechanisms to mitigate potential hazards. It delves into the critical role of risk analysis and hazard assessment throughout the development lifecycle, emphasizing the need for continuous monitoring and adaptation to evolving threats.

In the realm of healthcare, the FDA provides guidelines for the design and implementation of safety-critical medical devices and systems. This presentation explores the challenges of integrating advanced technologies, such as artificial intelligence and machine learning, into medical systems while ensuring compliance with FDA regulations. It highlights the significance of thorough validation and verification processes to guarantee the accuracy and reliability of these systems in real-world scenarios.

Moreover, the presentation addresses the convergence of FAA and FDA standards in industries like unmanned aerial systems for medical deliveries. As these technologies intersect, the integration of safety-critical features becomes paramount. The paper discusses how harmonizing these standards can contribute to a unified approach in developing systems that adhere to both aviation and healthcare regulatory frameworks.

Ultimately, this presentation aims to provide insights into the complex landscape of safety-critical system design and implementation, emphasizing the need for interdisciplinary collaboration, continuous regulatory compliance, and a forward-looking approach to address emerging challenges in the dynamic fields of aviation and healthcare.