2 citations · 2 across the 10 of their papers we have counts for
11 papers
Structure of Exposure Modeling of Systems to Climate Change Related Hazards
Matthieu Dutel, Adam Abdin, Didier Soto +1
Physical infrastructures designed for stable climate conditions support a significant portion of daily human life activities. However, climate change reshapes the distributions of…
From Frequentist to Bayesian Contextual Optimization
Zhuojun Xie, Adam Abdin, Yiping Fang
In data-driven contextual stochastic optimization, existing approaches are predominantly frequentist: they commit to a single predictive model and treat it as ground truth, yieldin…
Improving critical buildings energy resilience via shared autonomous electric vehicles -- A sequential optimization framework
Jinming Liu, Adam Abdin, Jakob Puchinger
The interdependence between electric power systems and transportation systems is rapidly increasing due to the high adoption of Electric Vehicles (EVs) and their charging infrastru…
New electric vehicle charging rate design : an MPEC assessment
Icaro Silvestre Freitas Gomes, Adam Abdin, Jakob Puchinger +1
A high penetration of electric vehicles (EVs) will deeply impact the management of electric power systems. To avoid costly grid reinforcements and the risk of load curtailment due…
Transformer-Based Reinforcement Learning for Autonomous Orbital Collision Avoidance in Partially Observable Environments
Thomas Georges, Adam Abdin
We introduce a Transformer-based Reinforcement Learning framework for autonomous orbital collision avoidance that explicitly models the effects of partial observability and imperfe…
New Formulations and Discretization Insights for the Electric Autonomous Dial-a-Ride Problem
Boshuai Zhao, Adam Abdin, Jakob Puchinger
The Electric Autonomous Dial-a-Ride Problem (E-ADARP) involves routing and scheduling electric autonomous vehicles under battery capacity and partial recharging constraints, aiming…
BOCO: Bayesian Online Contextual Optimization for Decision-Focused Online Learning
Zhuojun Xie, Adam Abdin, Yiping Fang
\emph{Decision-focused learning} (DFL) trains predictive models to optimize downstream decisions rather than prediction accuracy alone. While recent studies have extended this para…
Data-Driven Maintenance Optimization: Aligning Prognostic Learning with Decision Objective
Zhuojun Xie, Adam Abdin, Yiping Fang
Estimation error in machine learning prognostic models can propagate into poor maintenance decisions. We study a data-driven predictive maintenance problem coupling health-conditio…
On-orbit Servicing for Spacecraft Collision Avoidance With Autonomous Decision Making
Susmitha Patnala, Adam Abdin
This study develops an AI-based implementation of autonomous On-Orbit Servicing (OOS) mission to assist with spacecraft collision avoidance maneuvers (CAMs). We propose an autonomo…
AI-Driven Risk-Aware Scheduling for Active Debris Removal Missions
Antoine Poupon, Hugo de Rohan Willner, Pierre Nikitits +1
The proliferation of debris in Low Earth Orbit (LEO) represents a significant threat to space sustainability and spacecraft safety. Active Debris Removal (ADR) has emerged as a pro…
Spacecraft Autonomous Decision-Planning for Collision Avoidance: a Reinforcement Learning Approach
Nicolas Bourriez, Adrien Loizeau, Adam F. Abdin
The space environment around the Earth is becoming increasingly populated by both active spacecraft and space debris. To avoid potential collision events, significant improvements…