Pravin Chopade is an AI Software Feature Architect at Stellantis, Michigan, USA, where he develops AI-powered intelligent and adaptive automobile software systems solutions for real-world applications. He has a PhD in Computational Science and Engineering (CSE) from North Carolina A &T State University, Greensboro, NC, USA, an MS in Electrical Engineering from the University of Pune, Government College of Engineering (COEP Technological University), Pune, India and a BS in Electrical Engineering from the Amravati University, Government College of Engineering, Amravati, India. He also has a Post Graduate Diploma in Advanced Information Technology from the International Institute of Information Technology (IIIT), Pune, India.
Before joining Stellantis, Dr. Chopade worked as an AI Research Engineer at Artificial Intelligence Labs, Educational Testing Service (ETS), USA, a Research Scientist-II, Artificial Intelligence and Machine Learning at ACTNext, ACT Inc, Iowa City, USA, and a Research Scientist at iLab, North Carolina A &T State University, USA. His research projects were funded by various agencies such as the United States Department of Defense (DoD), the Army Research Laboratory, the U. S. Defense Threat Reduction Agency (DTRA), and the U. S. National Science Foundation (NSF). He also has 10 years of teaching experience as an Electrical Engineering faculty member.
Dr. Chopade is an accomplished Artificial Intelligence and Machine Learning leader and an esteemed member of the AI community. Dr. Chopade has published 70 peer-reviewed papers, filed two patent applications, and received several research grants and awards. He is a reviewer for many prestigious journals from IEEE, Science Direct Elsevier, Springer, IET, IETE, SAGE-Part O, SAGE-track, InderScience and a former IEEE Division/Region-3 Secretary for Central North Carolina section and IEEE Computer Society Chapter.
His area of expertise includes artificial intelligence and machine learning, multimodal analytics, big data and large-scale networks analytics and visualization, data integration and personalization, data mining, smart grid, IntiGrid, GridStat design, and the protection and survivability of interconnected large-scale networks.
Dr. Chopade also contributes to the AI community as an Advisory Board Member for the AI Prompt Specialist Committee at the Detroit School for Digital Technology (DSDT) in Michigan, USA. His vast knowledge and dedication to advancing AI greatly benefit the committee’s mission of shaping AI for societal progress.
He is a member of the Institution of Electrical and Electronics Engineers (IEEE), the IEEE Computer Society, and the Association for Computing Machinery (ACM).
