34 citations · 141 across the 44 of their papers we have counts for
47 papers
Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification
Rahman Khorramfar, Morgan Santoni-Colvin, Saurabh Amin +3
Building heat electrification is central to economy-wide decarbonization efforts and directly affects energy infrastructure planning through increasing electricity demand and reduc…
Market Design for Capacity Sharing in Networks
Saurabh Amin, Patrick Jaillet, Haripriya Pulyassary +1
We study a market mechanism that sets edge prices to incentivize strategic agents to efficiently share limited network capacity. In this market, agents form coalitions, with each c…
Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference
Samarth Gupta, Saurabh Amin
We focus on the problem of uncertainty informed allocation of medical resources (vaccines) to heterogeneous populations for managing epidemic spread. We tackle two related question…
Strategic Monitoring of Networked Systems with Heterogeneous Security Levels
Jezdimir Milosevic, Mathieu Dahan, Saurabh Amin +1
We consider a strategic network monitoring problem involving the operator of a networked system and an attacker. The operator aims to randomize the placement of multiple protected…
Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems
Aron Brenner, Rahman Khorramfar, Saurabh Amin
Effective investment planning decisions are crucial to ensure cyber-physical infrastructures satisfy performance requirements over an extended time horizon. Computing these decisio…
Effective Dimension in Bandit Problems under Censorship
Gauthier Guinet, Saurabh Amin, Patrick Jaillet
In this paper, we study both multi-armed and contextual bandit problems in censored environments. Our goal is to estimate the performance loss due to censorship in the context of c…
Electric-Gas Infrastructure Planning for Deep Decarbonization of Energy Systems
Rahman Khorramfar, Dharik Mallapragada, Saurabh Amin
The transition to a deeply decarbonized energy system requires coordinated planning of infrastructure investments and operations serving multiple end-uses while considering technol…
Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints
Aron Brenner, Rahman Khorramfar, Dharik Mallapragada +1
A rapid transformation of current electric power and natural gas (NG) infrastructure is imperative to meet the mid-century goal of CO2 emissions reduction requires. This necessitat…
Convergence and Stability of Coupled Belief--Strategy Learning Dynamics in Continuous Games
Manxi Wu, Saurabh Amin, Asuman Ozdaglar
We propose a learning dynamics to model how strategic agents repeatedly play a continuous game while relying on an information platform to learn an unknown payoff-relevant paramete…
Optimal Information Provision for Strategic Hybrid Workers
Sohil Shah, Saurabh Amin, Patrick Jaillet
We study the problem of information provision by a strategic central planner who can publicly signal about an uncertain infectious risk parameter. Signalling leads to an updated pu…
Securing Signal-free Intersections against Strategic Jamming Attacks: A Macroscopic Approach
Yumeng Bai, Saurabh Amin, Xudong Wang +1
We consider the security-by-design of a signal-free intersection for connected and autonomous vehicles in the face of strategic jamming attacks. We use a fluid model to characteriz…
Green Routing Game: Strategic Logistical Planning using Mixed Fleets of ICEVs and EVs
Hampei Sasahara, György Dán, Saurabh Amin +1
This paper introduces a "green" routing game between multiple logistic operators (players), each owning a mixed fleet of internal combustion engine vehicle (ICEV) and electric vehi…
Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems
Aron Brenner, Manxi Wu, Saurabh Amin
Modal split prediction in transportation networks has the potential to support network operators in managing traffic congestion and improving transit service reliability. We focus…
Damage Estimation and Localization from Sparse Aerial Imagery
Rene Garcia Franceschini, Jeffrey Liu, Saurabh Amin
Aerial images provide important situational awareness for responding to natural disasters such as hurricanes. They are well-suited for providing information for damage estimation a…
Multi-agent Bayesian Learning with Best Response Dynamics: Convergence and Stability
Manxi Wu, Saurabh Amin, Asuman Ozdaglar
We study learning dynamics induced by strategic agents who repeatedly play a game with an unknown payoff-relevant parameter. In this dynamics, a belief estimate of the parameter is…
Probabilistic Modeling of Hurricane Wind-Induced Damage in Infrastructure Systems
Derek Chang, Kerry Emanuel, Saurabh Amin
This paper presents a modeling approach for probabilistic estimation of hurricane wind-induced damage to infrastructural assets. In our approach, we employ a Nonhomogeneous Poisson…
Resilient Ramp Control for Highways Facing Stochastic Perturbations
Yu Tang, Li Jin, Alexander A. Kurzhanskiy +1
Highway capacity is often subject to stochastic perturbations due to the combined effects of weather, traffic mixture, driver behavior, etc. This paper is motivated by the need of…
Efficient Carpooling and Toll Pricing for Autonomous Transportation
Saurabh Amin, Patrick Jaillet, Manxi Wu
In this paper, we address the existence and computation of competitive equilibrium in the transportation market for autonomous carpooling first proposed by [Ostrovsky and Schwarz,…
Integer Programming-based Error-Correcting Output Code Design for Robust Classification
Samarth Gupta, Saurabh Amin
Error-Correcting Output Codes (ECOCs) offer a principled approach for combining simple binary classifiers into multiclass classifiers. In this paper, we investigate the problem of…
Multi-agent Bayesian Learning with Adaptive Strategies: Convergence and Stability
Manxi Wu, Saurabh Amin, Asuman Ozdaglar
We study learning dynamics induced by strategic agents who repeatedly play a game with an unknown payoff-relevant parameter. In each step, an information system estimates a belief…
Stochastic Resource Allocation for Electricity Distribution Network Resilience
Derek Chang, Devendra Shelar, Saurabh Amin
In recent years, it has become crucial to improve the resilience of electricity distribution networks (DNs) against storm-induced failures. Microgrids enabled by Distributed Energy…
Analysis and Design of Vehicle Platooning Operations on Mixed-Traffic Highways
Li Jin, Mladen Cicic, Karl H. Johansson +1
Platooning of connected and autonomous vehicles (CAVs) has a significant potential for throughput improvement. However, the interaction between CAVs and non-CAVs may limit the prac…
Information Design for Regulating Traffic Flows under Uncertain Network State
Manxi Wu, Saurabh Amin
Traffic navigation services have gained widespread adoption in recent years. The route recommendations generated by these services often leads to severe congestion on urban streets…
Semantic Analysis of Traffic Camera Data: Topic Signal Extraction and Anomalous Event Detection
Jeffrey Liu, Andrew Weinert, Saurabh Amin
Traffic Management Centers (TMCs) routinely use traffic cameras to provide situational awareness regarding traffic, road, and weather conditions. Camera footage is quite useful for…