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Vibhor Pandhare serves as an Assistant Professor at the Indian Institute of Technology, Indore, focusing on distributed and collaborative decision-making models in digital twins with applications in Smart Manufacturing. Research interests include Cyber-Physical Systems, Data Privacy Protection, and Federated Learning, contributing to the advancement of Industry 4.0. Previous experience includes roles as a Smart Factory Engineer and Data Scientist at Kennametal, where Vibhor identified high ROI use cases and developed algorithms for actionable insights from industrial data. As a Graduate Student Researcher at the Center for Intelligent Maintenance Systems, Vibhor implemented machine learning and deep learning approaches for predictive analytics. Educational qualifications include a PhD in Mechanical Engineering from the University of Cincinnati and a combined B.Tech and M.Tech in Mechanical Engineering from the Indian Institute of Technology, Indore.