activity
20232026
most citedThe Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting

22 citations · 47 across the 11 of their papers we have counts for

collaborators

11 papers

eess.SY2026

Degradation-Aware Frequency Regulation of a Heterogeneous Battery Fleet via Reinforcement Learning

Tanay Raghunandan Srinivasa, Vivek Deulkar, Jia Bhargava +2

Battery energy storage systems are increasingly deployed as fast-responding resources for grid balancing services such as frequency regulation and for mitigating renewable generati…

cs.DC2025

Quantifying the Carbon Reduction of DAG Workloads: A Job Shop Scheduling Perspective

Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy +2

Carbon-aware schedulers aim to reduce the operational carbon footprint of data centers by running flexible workloads during periods of low carbon intensity. Most schedulers treat w…

cs.DS2025

Online Smoothed Demand Management

Adam Lechowicz, Nicolas Christianson, Mohammad Hajiesmaili +2

We introduce and study a class of online problems called online smoothed demand management , motivated by paradigm shifts in grid integration and energy storage fo…

cs.CY2025

Dynamic Incentive Allocation for City-scale Deep Decarbonization

Anupama Sitaraman, Adam Lechowicz, Noman Bashir +3

Greenhouse gas emissions from the residential sector represent a significant fraction of global emissions. Governments and utilities have designed incentives to stimulate the adopt…

eess.SY2024

LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms

Mahsa Sahebdel, Ali Zeynali, Noman Bashir +2

Ridesharing platforms such as Uber, Lyft, and DiDi have grown in popularity due to their on-demand availability, ease of use, and commute cost reductions, among other benefits. How…

cs.DS2024★ 7 cited

Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints

Adam Lechowicz, Nicolas Christianson, Bo Sun +4

We introduce and study spatiotemporal online allocation with deadline constraints (), a new online problem motivated by emerging challenges in sustainability and ene…

cs.DC2024★ 14 cited

LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand

Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy +3

Motivated by an imperative to reduce the carbon emissions of cloud data centers, this paper studies the online carbon-aware resource scaling problem with unknown job lengths (OCSU)…

eess.SY2024

A Holistic Approach for Equity-aware Carbon Reduction of Ridesharing Platforms

Mahsa Sahebdel, Ali Zeynali, Noman Bashir +2

Ridesharing services have revolutionized personal mobility, offering convenient on-demand transportation anytime. While early proponents of ridesharing suggested that these service…

cs.DS2024

Chasing Convex Functions with Long-term Constraints

Adam Lechowicz, Nicolas Christianson, Bo Sun +4

We introduce and study a family of online metric problems with long-term constraints. In these problems, an online player makes decisions in a metric space t…

cs.DS2023★ 4 cited

Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms

Adam Lechowicz, Nicolas Christianson, Bo Sun +4

We introduce and study online conversion with switching costs, a family of online problems that capture emerging problems at the intersection of energy and sustainability. In this…

cs.DS2023★ 22 cited

The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting

Adam Lechowicz, Nicolas Christianson, Jinhang Zuo +4

We introduce and study the online pause and resume problem. In this problem, a player attempts to find the lowest (alternatively, highest) prices in a sequence of fixed length…