he/they
I am a third-year Ph.D. student in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, advised by Mohammad Hajiesmaili and Prashant Shenoy.
sustainability for computing, computing for sustainability
I work at the intersection of theory and systems, with an emphasis on problems that hold implications for energy, equity, and climate change. From a theoretical perspective, I am interested in designing algorithms for online optimization, particularly of the learning-augmented or provably fair types. On the application side, I am especially interested in efforts which promote the decarbonization of energy systems and computing infrastructure. My work is supported by a U.S. Department of Energy Computational Science Graduate Fellowship (CSGF).
In Summer 2024, I worked with Joshua Comden at the National Renewable Energy Laboratory on incentives and human-driven uncertainties in energy systems. Before my Ph.D., I completed my undergraduate thesis with Cameron Musco, studying polarization in social networks.
email: alechowicz [at] umass [dot] edu
Chasing Convex Functions with Long-term Constraints
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir,
ICML 2024. (workshop version)
Online Conversion with Switching Costs: Robust and Learning-augmented Algorithms
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir,
ACM SIGMETRICS / IFIP Performance 2024.
The Online Pause and Resume Problem:
Optimal Algorithms and An Application to Carbon-aware Load Shifting
Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir,
ACM SIGMETRICS / IFIP Performance 2024.
Time Fairness in Online Knapsack Problems
Adam Lechowicz, Rik Sengupta, Bo Sun, Shahin Kamali, Mohammad Hajiesmaili
ICLR 2024. (workshop version)
Equitable Network-aware Decarbonization of Residential Heating at City Scale
Adam Lechowicz, Noman Bashir, John Wamburu, Mohammad Hajiesmaili, Prashant Shenoy
ACM e-Energy 2023. (slides)