collaborators

8 papers

eess.SY2026

Co-Design Optimization for Data Center Cooling System via Digital Twin

Shrenik Jadhav, Zheng Liu

Liquid-cooled exascale supercomputers dissipate heat through cooling plants organized as multiple parallel subloops, but how to allocate coolant distribution units (CDUs) across su…

eess.SY2026

Data Center Life Cycle Co-Design Optimization

Shrenik Jadhav, Vidhyashree Nagaraju, Zheng Liu

Liquid cooled supercomputers dissipate tens of megawatts of waste heat through cooling plants organized as parallel subloops that serve coolant distribution units. The number of su…

eess.SY2026

Physics-Informed Graph Neural Jump ODEs for Cascading Failure Prediction in Power Grids

Birva Sevak, Shrenik Jadhav, Van-Hai Bui

Cascading failures in power grids pose severe risks to infrastructure reliability, yet real-time prediction of their progression remains an open challenge. Physics-based simulators…

eess.SY2026

Digital Twin-Based Cooling System Optimization for Data Center

Shrenik Jadhav, Zheng Liu

Data center cooling systems consume significant auxiliary energy, yet optimization studies rarely quantify the gap between theoretically optimal and operationally deployable contro…

eess.SY2026

Machine Learning Guided Cooling System Optimization for Data Center

Shrenik Jadhav, Zheng Liu

Effective data center cooling is crucial for reliable operation; however, cooling systems often exhibit inefficiencies that result in excessive energy consumption. This paper prese…

eess.SY2025

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets

Shrenik Jadhav, Birva Sevak, Srijita Das +3

Peer-to-peer (P2P) energy trading is becoming central to modern distribution systems as rooftop PV and home energy management systems become pervasive, yet most existing market and…