Adam Lechowicz

  • Program Year: 1
  • Academic Institution: University of Massachusetts Amherst
  • Field of Study: Computer Science
  • Academic Advisor: Mohammad Hajiesmaili
  • Practicum(s): Practicum Not Yet Completed
  • Degree(s):
    B.S. Computer Science, and B.A. Political Science, University of Massachusetts Amherst, 2022
  • Personal URL: https://adamlechowicz.github.io

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.

Publications

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, 2024 (to appear).

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, 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.

Awards

Student Travel Grant for ACM SIGMETRICS / Performance '24 -- National Science Foundation -- Spring 2024

2023 NextProf Pathfinder Workshop (invited) -- Michigan Engineering, Georgia Tech, UC San Diego -- Fall 2023

Dr. C. Mohan Graduate Scholarship -- Manning CICS -- Fall 2023

ELEVATE Graduate Fellowship -- Energy Transition Institute -- Fall 2022

Class of 2022, 21st Century Leader Award -- UMass Amherst -- Spring 2022

2022 Outstanding Undergraduate Achievement Award -- Manning CICS -- Spring 2022

2021-2022 Rising Researcher Award -- UMass Amherst -- Spring 2022

Class of 2022, Senior Leadership Award -- Manning CICS -- Spring 2022

Outstanding Undergraduate Course Assistant Award -- Manning CICS -- Spring 2022

Phi Beta Kappa and Phi Kappa Phi -- Spring 2021