July 2023: Poster presentation on An ML Framework to Deconstruct the Primary Drivers for Electricity Market Price Events at 2023 IEEE PES General Meeting; May 2023: Oral presentation on Artificial Intelligence for Improved Facilities Operation at 26th International Conference on Computing in High Energy & Nuclear Physics; February 2023: Poster presentation on Training Machine Learning Models to Characterize Temporal Evolution of Disadvantaged Communities at 2023 AAAI Workshop on Artificial Intelligence for Social Good; January 2023: Promoted to Senior Data Scientist at Pacific Northwest National Laboratory.
Research Experience
Data Scientist at Pacific Northwest National Laboratory (PNNL); collaborated with top research labs during Ph.D., including MIT Media Lab, University of Waterloo, and IBM Research Lab; served as an IUSSTF BHAVAN Fellow in the Optimization and Control Group at PNNL.
Education
Ph.D. from Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), supervised by Dr. Amarjeet Singh and Dr. Vikas Chandan, research focus: Data-Driven Thermostats: For Feedback, Comfort, and Reliability.
Background
Research Interests: Sensor Networks, Applied Machine Learning, and Human. Brief Introduction: Living in an exciting era of machine learning and artificial intelligence, dedicated to generating valuable insights or automating processes through sensor data and machine learning techniques, impacting people's lives.