Achalesh is the research director for industrial Artificial Intelligence platforms at GE Research. In this role, Achalesh draws from his depth of knowledge in industrial AI and across industries to strengthen the role of AI across GE's portfolio of products.
Prior to this role, Achalesh was the Technology Director for Artificial Intelligence at GE Research, overseeing AI research labs in United States, India and Israel. Achalesh has been with GE for more than 14 years in various leadership and technologist roles in GE Research and GE Power. He has extensive research and development experience in Machine Learning, Prognostics Health Management (PHM), Condition based maintenance (CBM), Monitoring & Diagnostics, data mining, advanced sensing, and controls area. Before joining GE, Achalesh worked for 8 years in the energy Industry with various multinational utilities all across the globe.
Achalesh holds a M.S. degree in Engineering from Purdue University, a PG Diploma in Power Plant Engineering from National Power Training Institute in India and a B.S. degree in Mechanical Engineering. He has filed 40+ patents including 25+ granted patents.
S. Evans, T. Shah, and A. Pandey, "The Entropy Economy: A New Paradigm for Carbon Reduction and Energy Efficiency for the Age of AI," 2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, pp. 1372-1377, doi: 10.1109/IEEECONF53345.2021.9723336.
Jain, A., Shah, T., Yousefhussien, M. and Pandey, A., 2021. Combining Remotely Sensed Imagery With Survival Models for Outage Risk Estimation of the Power Grid. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 1202-1211).