Prashant Shenoy

Distinguished Professor

University of Massachusetts Amherst

United States

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About

Prashant Shenoy is a Distinguished Professor at the University of Massachusetts Amherst, USA. His research focuses on dynamic incentive allocation, decarbonization strategies, and computational methods for sustainability. Recent publications include topics such as optimizing carbon efficiency for residential loads and analyzing energy usage in communities.

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Collaborators (8)

Ramesh K Sitaraman

UNITED STATES

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Jimi Oke

Assistant Professor

University of Massachusetts Amherst

UNITED STATES

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Walid Hanafy

University of Massachusetts Amherst

UNITED STATES

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Michael Chee

Professor

National University of Singapore (NUS)

SINGAPORE

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Stephen Lee

University of Pittsburgh

UNITED STATES

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Rajesh Balan

Singapore Management University

SINGAPORE

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XUTONG LIU

Assistant Professor

University of Washington Tacoma

UNITED STATES

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Yuvraj Agarwal

Carnegie Mellon University

UNITED STATES

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Prashant Shenoy

Research Interests

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About

Articles (20)

Dynamic Incentive Allocation for City-Scale Deep Decarbonization

GreenThrift: Optimizing Carbon and Cost for Flexible Residential Loads

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

WiSleep: Smartphone-driven Sleep Population Monitoring with Unsupervised Learning

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

A Vision for Computational Decarbonization of Societal Infrastructure

Special Issue on Computing for Sustainability

CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency

Analyzing the Energy Usage of a Community and the Benefits of Energy Storage

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

Model-driven Cluster Resource Management for AI Workloads in Edge Clouds

SleepMore

Analyzing the Impact of COVID-19 Control Policies on Campus Occupancy and Mobility via WiFi Sensing

FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio Sensing

A Probabilistic Approach to Committing Solar Energy in Day-ahead Electricity Markets

AutoShare: Virtual community solar and storage for energy sharing

Model-driven per-panel solar anomaly detection for residential arrays

Modeling and analyzing waiting policies for cloud-enabled schedulers

Phone-based ambient temperature sensing using opportunistic crowdsensing and machine learning

Ride Substitution Using Electric Bike Sharing: Feasibility, Cost, and Carbon Analysis

Collaborators (8)

Ramesh K Sitaraman

Jimi Oke

Walid Hanafy

Michael Chee

Stephen Lee

Rajesh Balan

XUTONG LIU

Yuvraj Agarwal

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