Adam Lechowicz
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
Selected Publications
Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir,
ACM SIGMETRICS 2025.
Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior
Adam Lechowicz, Joshua Comden, Andrey Bernstein
ACM e-Energy 2025.
Chasing Convex Functions with Long-term Constraints
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir,
ICML 2024. (workshop version)
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)
Recent News
- (July 2nd, 2025) I am at the INFORMS APS conference at Georgia Tech this week! I’ll be giving an invited talk on online optimization with switching costs and long-term constraints in the Learning-Augmented Online Optimization session.
- (June 20th, 2025) I am at ACM e-Energy in Rotterdam, Netherlands this week! We have two papers on optimizing individualized incentives with unknown agent behavior and the carbon cost of residential solar.
- (June 12th, 2025) I am at the ACM SIGMETRICS conference at Stony Brook University this week! I’ll be presenting our paper on spatiotemporal online allocation with deadline constraints in the Online Learning II session. I am also co-organizing the LATA and CarbonMetrics workshops.
- (May 8th, 2025) I am giving an invited talk at the RSRG / FALCON group meeting at Caltech. See my slides here.
- (May 1st, 2025) Our paper on near-optimal consistency-robustness trade-offs for learning-augmented online knapsack was accepted to ICML 2025!
- (April 29th, 2025) Our paper on dynamic incentive allocation for city-scale deep decarbonization was accepted to the ACM Journal on Computing and Sustainable Societies (JCSS)!
- (September 3rd, 2024) I am at the Seventh Workshop on Autonomous Energy Systems in Golden, CO to present my work on incentives in distribution grids.
- (August 14th, 2024) I am giving an invited talk at the SODALab group meeting at the University of Alberta. See my slides here.