Minimizing Energy Costs for Geographically Distributed Heterogeneous Data Centers. - Ninad Hogade; Sudeep Pasricha; Howard Jay Siegel; Anthony A. Maciejewski; Mark A. Oxley; Eric Jonardi (IEEE Trans. Sustain. Comput., 2018)

Green Computing with Geo-Distributed Heterogeneous Data Centers. - Sudeep Pasricha; Ninad Hogade; Howard Jay Siegel; Anthony A. Maciejewski (IGSC, 2019)

A Survey on Machine Learning for Geo-Distributed Cloud Data Center Management. - Ninad Hogade; Sudeep Pasricha (CoRR, 2022)

Energy and Network Aware Workload Management for Geographically Distributed Data Centers. - Ninad Hogade; Sudeep Pasricha; Howard Jay Siegel (IEEE Trans. Sustain. Comput., 2022)

Fine-Grained Heterogeneous Execution Framework with Energy Aware Scheduling. - Gourav Rattihalli; Ninad Hogade; Aditya Dhakal; Eitan Frachtenberg; Rolando P. Hong Enriquez; Pedro Bruel; Alok Mishra 002; Dejan S. Milojicic (CLOUD, 2023)

Kernel-as-a-Service: A Serverless Programming Model for Heterogeneous Hardware Accelerators. - Tobias Pfandzelter; Aditya Dhakal; Eitan Frachtenberg; Sai Rahul Chalamalasetti; Darel Emmot; Ninad Hogade; Rolando Pablo Hong Enriquez; Gourav Rattihalli; David Bermbach; Dejan S. Milojicic (Middleware, 2023)

Sustainability: Fundamentals-Based Approach to Paying It Forward. - Cullen E. Bash; Ninad Hogade; Dejan S. Milojicic; Gourav Rattihalli; Chandrakant D. Patel (Computer, 2023)

A Survey on Machine Learning for Geo-Distributed Cloud Data Center Managements. - Ninad Hogade; Sudeep Pasricha (IEEE Trans. Sustain. Comput., 2023)

CASA: A Framework for SLO- and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing. - Sirui Qi; Hayden Moore; Ninad Hogade; Dejan S. Milojicic; Cullen E. Bash; Sudeep Pasricha (IGSC, 2024)

A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management. - Sirui Qi; Hayden Moore; Ninad Hogade; Dejan S. Milojicic; Cullen E. Bash; Sudeep Pasricha (IGSC, 2024)

Enhancing Energy Efficiency with Multi-Site Scheduling Strategies. - Alok Kamatar; Valérie Hayot-Sasson; Yadu N. Babuji; André Bauer 001; Gourav Rattihalli; Ninad Hogade; Dejan S. Milojicic; Kyle Chard; Ian T. Foster (IPDPS (Workshops), 2024)

DyTwin: Federated Adaptive Digital Twins for Data Centers - Visualization and Anomaly Detection. - Ebad Taheri; Pedro Bruel; Pavana Prakash; Gourav Rattihalli; Ninad Hogade; Aditya Dhakal; Rolando P. Hong Enriquez; Torsten Wilde; Leo Popokh; Dejan S. Milojicic; Cullen E. Bash (SC Workshops, 2024)

Granularity- and Interference-Aware GPU Sharing with MPS. - Alex Weaver; Krishna Kavi; Dejan S. Milojicic; Rolando Pablo Hong Enriquez; Ninad Hogade; Alok Mishra 002; Gayatri Mehta (SC Workshops, 2024)

GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS. - Alok Kamatar; Valérie Hayot-Sasson; Yadu N. Babuji; André Bauer 001; Gourav Rattihalli; Ninad Hogade; Dejan S. Milojicic; Kyle Chard; Ian T. Foster (CoRR, 2024)

Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows. - Pedro Bruel; Sai Rahul Chalamalasetti; Aditya Dhakal; Eitan Frachtenberg; Ninad Hogade; Rolando Pablo Hong Enriquez; Alok Mishra 002; Dejan S. Milojicic; Pavana Prakash; Gourav Rattihalli (Computer, 2024)

Quantum optimization algorithms: Energetic implications. - Rolando P. Hong Enriquez; Rosa M. Badia; Barbara M. Chapman; Kirk Bresniker; Scott Pakin; Alok Mishra 002; Pedro Bruel; Aditya Dhakal; Gourav Rattihalli; Ninad Hogade; Eitan Frachtenberg; Dejan S. Milojicic (Concurr. Comput. Pract. Exp., 2024)

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters. - Hayden Moore; Sirui Qi; Ninad Hogade; Dejan S. Milojicic; Cullen E. Bash; Sudeep Pasricha (ACM Great Lakes Symposium on VLSI, 2025)

Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers. - Ninad Hogade; Sudeep Pasricha (IEEE Trans. Sustain. Comput., 2025)