Pramod Khargonekar has more than four decades of experience as a scholar, educator and leader in academic institutions and government organizations. He is an expert in control and systems theory, cyber-physical systems, and applications to manufacturing, renewable energy and smart grids, biomedical engineering. Most recently, he has been working on the confluence of machine learning & artificial intelligence and for control and estimation. He has contributed to key emerging topics such as Future of Work, Energy System Transformation, Food-Energy-Water Nexus, and Resilient Infrastructure Systems and Processes. Most recently, he co-led the chapter on climate change mitigation and adaptation for Control for Societal-scale Challenges: Road Map 2030 created by a large group in IEEE Control Systems Society. He serves as co-principal investigator on the NSF funded Engineering Research Visioning Alliance (ERVA). Under this project, among several visioning events, he led the development of AI Engineering report. With a lifetime of experience in research universities, he is interested in new approaches and ideas that will shape their future in the 21st century.