I am currently working as a graduate researcher in MIT's Resilient Infrastructure Networks Lab under the mentorship of Saurabh Amin [CEE/ORC/LIDS]. My research interests lie at the intersection of deep learning and optimization with applications towards infrastructure/societal systems. In particular, I'm interested in understanding how machine learning can benefit planning for decarbonized interconnected transportation-energy systems.


Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems

Aron Brenner, Rahman Khorramfar, Saurabh AminIEEE International Conference on Cyber-Physical Systems 2023

Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems 

Aron Brenner, Manxi Wu, Saurabh AminIEEE Intelligent Transportation Systems Conference 2022 (Best Paper Award)

Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints

Aron Brenner*, Rahman Khorramfar*, Saurabh Amin (* indicates equal contribution)AAAI 2022 Fall Symposium Series on the Role of AI in Responding to Climate Challenges