Adam Lechowicz
Scholar

Adam Lechowicz

Google Scholar ID: fZ2-jm0AAAAJ
University of Massachusetts
online algorithmslearning-augmented algorithmsenergyperformance evaluation
Citations & Impact
All-time
Citations
166
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
33
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in conferences such as ACM SIGMETRICS 2025, ACM e-Energy 2025, ICML 2024, ACM SIGMETRICS / IFIP Performance 2024, ICLR 2024, and ACM e-Energy 2023. Participated in various conferences and gave talks, including INFORMS Annual Meeting, ACM SIGCOMM, INFORMS APS, and ACM e-Energy.
Research Experience
  • Worked with Joshua Comden at the National Renewable Energy Laboratory in Summer 2024, focusing on incentives and human-driven uncertainties in energy systems.
Education
  • Ph.D. candidate at the Manning College of Information and Computer Sciences, University of Massachusetts Amherst, advised by Mohammad Hajiesmaili and Prashant Shenoy. Completed undergraduate thesis with Cameron Musco, studying polarization in social networks.
Background
  • Research interests: sustainability for computing, computing for sustainability. Works at the intersection of theory and systems, with an emphasis on emerging problems in energy and sustainability. Specifically, interested in decision-making under uncertainty, particularly using the learning-augmented algorithms framework, which combines the provable guarantees of traditional algorithm design with AI-driven performance. On the application side, interested in novel system designs that increase the flexibility, efficiency, and sustainability of energy systems or computing infrastructure.
Miscellany
  • Supported by a U.S. Department of Energy Computational Science Graduate Fellowship (CSGF).