Milan Jain

Orcid: 0000-0002-1676-1117

According to our database1, Milan Jain authored at least 22 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Analyzing inference workloads for spatiotemporal modeling.
Future Gener. Comput. Syst., 2025

2024
Predicting Curb Side Parking Availability for Commercial Vehicle Loading Zones.
Int. J. Intell. Transp. Syst. Res., December, 2024

2023
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., October, 2023

A Machine Learning Framework to Deconstruct the Primary Drivers for Electricity Market Price Events.
CoRR, 2023

Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion.
CoRR, 2023

Training Machine Learning Models to Characterize Temporal Evolution of Disadvantaged Communities.
CoRR, 2023

2022
FATEsys 2022: the second ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Sparse Deep Neural Network Inference Using Different Programming Models.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Workload characterization of a time-series prediction system for spatio-temporal data.
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.
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.
Proceedings of the 2021 American Control Conference, 2021

Transfer-Learnt Models for Predicting Electricity Consumption in Buildings with Limited and Sparse Field Data.
Proceedings of the 2021 American Control Conference, 2021

2019
Beyond Control: Enabling Smart Thermostats for Leakage Detection.
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.
Energy Inform., 2018

Energy Efficient Thermostats for Room Level Air Conditioning.
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.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

On the Interaction between Personal Comfort Systems and Centralized HVAC Systems in Office Buildings.
CoRR, 2017

ThermalSim: A Thermal Simulator for Error Analysis.
CoRR, 2017

Decision support system for room level air conditioners.
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.
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.
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.
Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015


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