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ORCIDMilan Jain
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2020 – today
- 2025
[j6]Milan Jain
, Nicolas Bohm Agostini, Sayan Ghosh, Antonino Tumeo:
Analyzing inference workloads for spatiotemporal modeling. Future Gener. Comput. Syst. 163: 107513 (2025)- [i10]Milan Jain, Burcu Ozcelik Mutlu, Caleb Stam, Jan Strube, Brian Schupbach, Jason Michael St. John, William A. Pellico:
AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis. CoRR abs/2501.01509 (2025) - 2024
- [j5]Milan Jain, Vinay C. Amatya, Amelia Bleeker, Soumya Vasisht, John T. Feo, Katherine E. Wolf:
Predicting Curb Side Parking Availability for Commercial Vehicle Loading Zones. Int. J. Intell. Transp. Syst. Res. 22(3): 614-628 (2024) - 2023
- [j4]Heng Wan, Sumitrra Ganguli, Milan Jain, David M. Anderson, Narmadha Meenu Mohankumar, Kyle D. Wilson:
Areal interpolation of population projections consistent with different SSPs from 1-km resolution to block level based on USA Structures dataset. Comput. Environ. Urban Syst. 105: 102024 (2023) - [i9]Milan Jain, Narmadha Meenu Mohankumar, Heng Wan, Sumitrra Ganguly, Kyle D. Wilson, David M. Anderson:
Training Machine Learning Models to Characterize Temporal Evolution of Disadvantaged Communities. CoRR abs/2303.03677 (2023) - [i8]Ashutosh Dutta, Milan Jain, Arif Khan, Arun V. Sathanur:
Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion. CoRR abs/2305.09600 (2023) - [i7]Milan Jain, Xueqing Sun, Sohom Datta, Abhishek Somani:
A Machine Learning Framework to Deconstruct the Primary Drivers for Electricity Market Price Events. CoRR abs/2309.06082 (2023) - 2022
- [c11]Milan Jain, Sayan Ghosh, Sai Pushpak Nandanoori:
Workload characterization of a time-series prediction system for spatio-temporal data. CF 2022: 159-168 - [c10]Hyungro Lee, Milan Jain, Sayan Ghosh:
Sparse Deep Neural Network Inference Using Different Programming Models. HPEC 2022: 1-6 - [c9]Milan Jain, Pandarasamy Arjunan:
FATEsys 2022: the second ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems. BuildSys 2022: 307-309 - 2021
- [c8]Milan Jain, Khushboo Gupta, Arun V. Sathanur, Vikas Chandan, Mahantesh Halappanavar:
Transfer-Learnt Models for Predicting Electricity Consumption in Buildings with Limited and Sparse Field Data. ACC 2021: 2887-2894 - [c7]Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna L. Vrabie:
Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads. ACC 2021: 4171-4177 - [c6]Milan Jain, Pandarasamy Arjunan:
FATEsys 2021: the first ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems. BuildSys 2021: 252-254 - [i6]Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna L. Vrabie:
Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads. CoRR abs/2103.11485 (2021)
2010 – 2019
- 2019
- [j3]Milan Jain, Mridula Gupta, Amarjeet Singh, Vikas Chandan:
Beyond Control: Enabling Smart Thermostats for Leakage Detection. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 14:1-14:21 (2019) - [i5]Milan Jain, Mridula Gupta, Amarjeet Singh, Vikas Chandan:
Beyond Control: Enabling Smart Thermostats For Leakage Detection. CoRR abs/1901.10580 (2019) - 2018
- [j2]Milan Jain, Rachel K. Kalaimani, Srinivasan Keshav, Catherine Rosenberg:
Using personal environmental comfort systems to mitigate the impact of occupancy prediction errors on HVAC performance. Energy Inform. 1(1) (2018) - [c5]Milan Jain:
Energy Efficient Thermostats for Room Level Air Conditioning. SmartObjects@CHI 2018: 50-57 - [i4]Milan Jain:
Energy-Efficient Thermostats for Room-Level Air Conditioning. CoRR abs/1805.06284 (2018) - [i3]Milan Jain, Rachel K. Kalaimani, Srinivasan Keshav, Catherine Rosenberg:
Using Personal Environmental Comfort Systems to Mitigate the Impact of Occupancy Prediction Errors on HVAC Performance. CoRR abs/1810.10619 (2018) - 2017
- [j1]Milan Jain, Amarjeet Singh, Vikas Chandan:
Portable+: A Ubiquitous And Smart Way Towards Comfortable Energy Savings. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(2): 14:1-14:22 (2017) - [c4]Milan Jain:
Decision support system for room level air conditioners. UbiComp/ISWC Adjunct 2017: 350-354 - [i2]Milan Jain:
ThermalSim: A Thermal Simulator for Error Analysis. CoRR abs/1708.04524 (2017) - [i1]Rachel K. Kalaimani, Milan Jain, Srinivasan Keshav, Catherine Rosenberg:
On the Interaction between Personal Comfort Systems and Centralized HVAC Systems in Office Buildings. CoRR abs/1710.02064 (2017) - 2016
- [c3]Milan Jain:
Data driven feedback for optimized and efficient usage of decentralized air conditioners. PerCom Workshops 2016: 1-3 - [c2]Milan Jain, Amarjeet Singh, Vikas Chandan:
Non-intrusive estimation and prediction of residential AC energy consumption. PerCom 2016: 1-9 - 2015
- [c1]Milan Jain, Amarjeet Singh:
Poster Abstract: Combining Multiple Forecast for Improved Day Ahead Prediction of Wind Power Generation. e-Energy 2015: 199-200
Coauthor Index
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