Rate My Professor Siddhartha Agarwal

Dr. Siddhartha Agarwal serves as an Assistant Professor in the Department of Mining Engineering at the Indian Institute of Technology (Indian School of Mines), Dhanbad, since March 2020. His academic journey includes a B.Tech. in Mining Engineering from IIT (BHU) Varanasi in 2006, M.S. in Mining Engineering from the University of Alaska Fairbanks in 2010, and Ph.D. in Engineering Management and Systems from Missouri University of Science and Technology in 2015. Agarwal's professional career spans diverse roles in industry: project management at Steel Authority of India Ltd (2006-2008), portfolio management at the State Department of Natural Resources, USA (2009-2010), engineering consultancy at Mintec Inc. (2010), supply chain risk management for MITRE Corporation and the U.S. Department of Defense (2011-2015), and leadership in credit risk and fraud prevention at Discover Financial Services (2015-2018), where his strategies prevented $7 million in losses. He continues as Manager at Asurion LLC in cybersecurity since 2018. At IIT (ISM), he teaches Computer Aided Mine Planning & Design, Geostatistics and Mineral Valuation, and Systems Engineering.

Agarwal's research focuses on artificial intelligence and machine learning in mining, spatial statistics, mine planning, operations research, and big data analytics. With over 30 publications garnering 154 citations (h-index 7), key works include "Predicting Response of Risk-Seeking Systems During Project Negotiations in a System of Systems" (IEEE Systems Journal, 2017), "A hybrid genetic algorithm and particle swarm optimization with type-2 fuzzy sets for generating systems of systems architectures" (Procedia Computer Science, 2014), and contributions to books on complex systems design. Honors include the 2014 Stevens Doctoral Award for Promising Research in Systems Engineering and Integration, Discover Financial recognition for 35% fraud reduction (2017), and Best Doctoral Thesis Award. He leads projects under India's National Mission on Interdisciplinary Cyber-Physical Systems, advancing cyber-physical applications in mining.