On the Utility of Occupancy Sensing for Managing HVAC Energy in Large Zones. - Srinarayana Nagarathinam; Shiva R. Iyer; Arunchandar Vasan 001; Venkata Ramakrishna P.; Venkatesh Sarangan; Anand Sivasubramaniam (e-Energy, 2015)

Centralized Management of HVAC Energy in Large Multi-AHU Zones. - Srinarayana Nagarathinam; Arunchandar Vasan 001; Venkata Ramakrishna P.; Shiva R. Iyer; Venkatesh Sarangan; Anand Sivasubramaniam (BuildSys, 2015)

Incentive design for demand-response based on building constraints: a utility perspective. - Kundan Kandhway; Arunchandar Vasan 001; Srinarayana Nagarathinam; Venkatesh Sarangan; Anand Sivasubramaniam (BuildSys, 2017)

Good set-points make good neighbors: user seating and temperature control in uberized workspaces. - Srinarayana Nagarathinam; Arunchandar Vasan 001; Venkatesh Sarangan; Rajesh Jayaprakash; Anand Sivasubramaniam (BuildSys, 2018)

One for all, All for one: a scalable decision-making framework for demand response with a district cooling plant. - Srinarayana Nagarathinam; Harihara Subrahmaniam Muralidharan; Arunchandar Vasan 001; Venkatesh Sarangan; Sermisha Narayana; Anand Sivasubramaniam (BuildSys, 2019)

MARCO - Multi-Agent Reinforcement learning based COntrol of building HVAC systems. - Srinarayana Nagarathinam; Vishnu Menon; Arunchandar Vasan 001; Anand Sivasubramaniam (e-Energy, 2020)

Keep it open, Keep it safe: Maximizing Space Utilization in Intelligent Bio-safe Buildings. - Praveen Manoharan 002; Srinarayana Nagarathinam; Arunchandar Vasan 001; Venkata Ramakrishna P. (BuildSys, 2020)

EImprove - Optimizing Energy and Comfort in Buildings based on Formal Semantics and Reinforcement Learning. - Sagar Verma; Supriya Agrawal; R. Venkatesh 001; Ulka Shrotri; Srinarayana Nagarathinam; Rajesh Jayaprakash; Aabriti Dutta (DAC, 2021)

Learn to chill: intelligent chiller scheduling using meta-learning and deep reinforcement learning. - Praveen Manoharan 002; Malini Pooni Venkat; Srinarayana Nagarathinam; Arunchandar Vasan 001 (BuildSys, 2021)

User Placement and Optimal Cooling Energy for Co-working Building Spaces. - Srinarayana Nagarathinam; Arunchandar Vasan 001; Venkatesh Sarangan; Rajesh Jayaprakash; Anand Sivasubramaniam (ACM Trans. Cyber Phys. Syst., 2021)

PACMAN: physics-aware control MANager for HVAC. - Srinarayana Nagarathinam; Yashovardhan S. Chati; Malini Pooni Venkat; Arunchandar Vasan 001 (BuildSys, 2022)

Optimization for Infrastructure Cyber-Physical Systems. - Arunchandar Vasan 001; Prasant Misra; Srinarayana Nagarathinam; Venkata Ramakrishna; Ramasubramanian Suriyanarayanan; Yashovardhan Chati (CoRR, 2022)

ORCHID: Offline RL for Control of HVAC in Buildings using Historical and Low-Fidelity Simulation Data. - Richa Verma; Srikar Babu Gadipudi; Srinarayana Nagarathinam; Harshad Khadilkar (AIMLSystems, 2024)

Multi-agent Reinforcement Learning for Joint Control of EV-HVAC System with Vehicle-to-Building Supply. - Ajay Narayanan; Srinarayana Nagarathinam; Prasant Misra; Arunchandar Vasan 001 (COMAD/CODS, 2024)

PhyGICS - A Physics-informed Graph Neural Network-based Intelligent HVAC Controller for Open-plan Spaces. - Srinarayana Nagarathinam; Arunchandar Vasan 001 (e-Energy, 2024)