A Model-Predictive Hierarchical-Control Framework for Aggregating Residential DERs to Provide Grid Regulation Services. - Kumar Utkarsh; Fei Ding 001; Changhong Zhao; Harsha V. Padullaparti; Xin Jin 016 (ISGT, 2020)

Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization. - Amer M. Johri; Krishna V. Singh; Laura E. Mantella; Luca Saba; Aditya Sharma 001; John R. Laird; Kumar Utkarsh; Inder M. Singh; Suneet K. Gupta 001; Manudeep S. Kalra; Jasjit S. Suri (Comput. Biol. Medicine, 2022)

A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data. - Siva Skandha Sanagala; Mohit Agarwal 003; Kumar Utkarsh; Suneet K. Gupta 001; Vijaya Kumar Koppula; Jasjit S. Suri (Neural Comput. Appl., 2022)

On Vulnerability and Resilience of Cyber-Physical Power Systems: A Review. - Shuva Paul; Fei Ding 001; Kumar Utkarsh; Weijia Liu; Mark J. O'Malley; John Barnett (IEEE Syst. J., 2022)

Self-Organizing Map-Based Resilience Quantification and Resilient Control of Distribution Systems Under Extreme Events. - Kumar Utkarsh; Fei Ding 001 (IEEE Trans. Smart Grid, 2022)

A Network-Aware Distributed Energy Resource Aggregation Framework for Flexible, Cost-Optimal, and Resilient Operation. - Kumar Utkarsh; Fei Ding 001; Xin Jin 016; Michael Blonsky; Harsha V. Padullaparti; Sivasathya Pradha Balamurugan (IEEE Trans. Smart Grid, 2022)

A Distributed Dual-Optimization Framework for Ancillary-Service Coordination Between MV Microgrids and LV Distribution Networks. - Hao Quan; Kumar Utkarsh; Dipti Srinivasan (IEEE Syst. J., 2023)

Use of consumer wearables to monitor and predict pain in patients with sickle cell disease. - Caroline Vuong; Kumar Utkarsh; Rebecca Stojancic; Arvind Subramaniam; Olivia Fernandez; Tanvi Banerjee; Daniel M. Abrams; Karin Fijnvandraat; Nirmish Shah (Frontiers Digit. Health, 2023)