Adam Lechowicz

Program Year:

University:

University of Massachusetts Amherst

Field of Study:

Computer Science

Advisor:

Mohammad Hajiesmaili

and Prashant Shenoy

Degree(s):

B.S. Computer Science, and B.A. Political Science, University of Massachusetts Amherst, 2022

Personal URL:

https://adamlechowicz.github.io

Practicum Experience(s)

National Renewable Energy Laboratory (2024)

Practicum Supervisor(s):

Joshua

Comden

Practicum Title:

Distribution Grid Incentive Design with Unknown Agent Behavior

Summary of Research

I work at the intersection of theoretical computer science and systems, with an emphasis on problems that hold implications for energy, equity, and climate change. From a theoretical perspective, I am interested in algorithm design 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.

Annual Program Review Abstracts

Fellow Poster

: Chasing Convex Functions With Long-term Constraints (

2024

)

Publications

Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant Shenoy
ACM SIGMETRICS, 2025.

Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior
Adam Lechowicz, Joshua Comden, Andrey Bernstein
ACM International Conference on Future Energy Systems (e-Energy), 2025.

Lost in Siting: The Hidden Carbon Cost of Inequitable Residential Solar Installations
Cooper Sigrist, Adam Lechowicz, Jovan Champ, Noman Bashir, Mohammad Hajiesmaili
ACM International Conference on Future Energy Systems (e-Energy), 2025.

Examining The Adoption of Electromobility Concepts Across Social Contexts for Energy Transition
Julia Kohlke, Adam Lechowicz, Oluwole Fabikun, Noman Bashir, Abel Souza, Prashant Shenoy, Sebastian Lehnhoff
ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys), 2024.

Distribution Grid Incentive Design with Unknown Agent Behavior
Adam Lechowicz and Joshua Comden
Seventh Workshop on Autonomous Energy Systems, 2024.

Chasing Convex Functions with Long-term Constraints
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant Shenoy
International Conference on Machine Learning (ICML), 2024.

Data-driven Algorithm Selection for Carbon-Aware Scheduling
Roozbeh Bostandoost, Walid A. Hanafy, Adam Lechowicz, Noman Bashir, Prashant Shenoy, Mohammad Hajiesmaili
HotCarbon Workshop on Sustainable Computer Systems, 2024.

LACS: Learning-augmented Algorithms for Carbon-aware Resource Scaling with Uncertain Demand
Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy, Noman Bashir, Mohammad Hajiesmaili, Prashant Shenoy
ACM International Conference on Future Energy Systems (e-Energy), 2024.

Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant Shenoy
ACM SIGMETRICS / IFIP Performance, 2024.

Time Fairness in Online Knapsack Problems
Adam Lechowicz, Rik Sengupta, Bo Sun, Shahin Kamali, Mohammad Hajiesmaili
International Conference on Learning Representations (ICLR), 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, Mohammad Hajiesmaili, Adam Wierman, Prashant Shenoy
Proceedings of the ACM on Measurement and Analysis of Computing Systems, Dec. 2023.

Equitable Network-Aware Decarbonization of Residential Heating at City Scale
Adam Lechowicz, Noman Bashir, John Wamburu, Mohammad Hajiesmaili, and Prashant Shenoy
ACM International Conference on Future Energy Systems (e-Energy), 2023.

Local Edge Dynamics and Opinion Polarization
Nikita Bhalla, Adam Lechowicz, and Cameron Musco
ACM International Conference on Web Search and Data Mining (WSDM), 2023.

Edge Dynamics and Opinion Polarization in Social Networks
Adam Lechowicz (Undergraduate Honors Thesis)
Advisor: Cameron Musco

FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio Sensing
Bhawana Chhaglani, Camellia Zakaria, Adam Lechowicz, Jeremy Gummeson, and Prashant Shenoy
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), March 2022.