he/they
I am a second-year PhD student in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, where I am advised by Mohammad Hajiesmaili and Prashant Shenoy.
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).
Through my research, I strive to advance ideals of social, racial, economic, and environmental justice.
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir,
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 (to appear).
Time Fairness in Online Knapsack Problems
Adam Lechowicz, Rik Sengupta, Bo Sun, Shahin Kamali, Mohammad Hajiesmaili
(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)
Local Edge Dynamics and Opinion Polarization
Nikita Bhalla, Adam Lechowicz, Cameron Musco
ACM WSDM 2023. (Slides, Recorded Talk)
email: alechowicz [at] umass [dot] edu