Milan Jain

According to our database, Milan Jain authored at least 21 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Analyzing inference workloads for spatiotemporal modeling.

Milan Jain, Nicolas Bohm Agostini, Sayan Ghosh, Antonino Tumeo

Future Gener. Comput. Syst., 2025

2023

Areal interpolation of population projections consistent with different SSPs from 1-km resolution to block level based on USA Structures dataset.

Heng Wan, Sumitrra Ganguli, Milan Jain, David M. Anderson, Narmadha Meenu Mohankumar, Kyle D. Wilson

Comput. Environ. Urban Syst., October, 2023

A Machine Learning Framework to Deconstruct the Primary Drivers for Electricity Market Price Events.

Milan Jain, Xueqing Sun, Sohom Datta, Abhishek Somani

CoRR, 2023

Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion.

Ashutosh Dutta, Milan Jain, Arif Khan, Arun V. Sathanur

CoRR, 2023

Training Machine Learning Models to Characterize Temporal Evolution of Disadvantaged Communities.

Milan Jain, Narmadha Meenu Mohankumar, Heng Wan, Sumitrra Ganguly, Kyle D. Wilson, David M. Anderson

CoRR, 2023

2022

FATEsys 2022: the second ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems.

Milan Jain, Pandarasamy Arjunan

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Sparse Deep Neural Network Inference Using Different Programming Models.

Hyungro Lee, Milan Jain, Sayan Ghosh

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Workload characterization of a time-series prediction system for spatio-temporal data.

Milan Jain, Sayan Ghosh, Sai Pushpak Nandanoori

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021

FATEsys 2021: the first ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems.

Milan Jain, Pandarasamy Arjunan

Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads.

Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna L. Vrabie

Proceedings of the 2021 American Control Conference, 2021

Transfer-Learnt Models for Predicting Electricity Consumption in Buildings with Limited and Sparse Field Data.

Milan Jain, Khushboo Gupta, Arun V. Sathanur, Vikas Chandan, Mahantesh Halappanavar

Proceedings of the 2021 American Control Conference, 2021

2019

Beyond Control: Enabling Smart Thermostats for Leakage Detection.

Milan Jain, Mridula Gupta, Amarjeet Singh, Vikas Chandan

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

2018

Using personal environmental comfort systems to mitigate the impact of occupancy prediction errors on HVAC performance.

Milan Jain, Rachel K. Kalaimani, Srinivasan Keshav, Catherine Rosenberg

Energy Inform., 2018

Energy Efficient Thermostats for Room Level Air Conditioning.

Milan Jain

Proceedings of the 6th Workshop on Interacting with Smart Objects co-located with ACM Conference on Human Factors in Computing Systems, 2018

2017

Portable+: A Ubiquitous And Smart Way Towards Comfortable Energy Savings.

Milan Jain, Amarjeet Singh, Vikas Chandan

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

On the Interaction between Personal Comfort Systems and Centralized HVAC Systems in Office Buildings.

Rachel K. Kalaimani, Milan Jain, Srinivasan Keshav, Catherine Rosenberg

CoRR, 2017

ThermalSim: A Thermal Simulator for Error Analysis.

Milan Jain

CoRR, 2017

Decision support system for room level air conditioners.

Milan Jain

Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

2016

Non-intrusive estimation and prediction of residential AC energy consumption.

Milan Jain, Amarjeet Singh, Vikas Chandan

Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communications, 2016

Data driven feedback for optimized and efficient usage of decentralized air conditioners.

Milan Jain

Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

2015

Poster Abstract: Combining Multiple Forecast for Improved Day Ahead Prediction of Wind Power Generation.

Milan Jain, Amarjeet Singh

Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015