211 citations · 340 across the 13 of their papers we have counts for
14 papers
A Model-Agnostic Physics-Guided Adapter for Few-Shot Transfer of Coastal Flood Prediction Models to Unseen Regions
Bilal Hassan, Areg Karapetyan, Samer Madanat
Deep learning surrogates can produce high-resolution coastal flood maps orders of magnitude faster than physics-based hydrodynamic simulators, yet transferring them to new coastal…
Climate Adaptation-Aware Flood Prediction for Coastal Cities Using Deep Learning
Bilal Hassan, Areg Karapetyan, Aaron Chung Hin Chow +1
Climate change and sea-level rise (SLR) pose escalating threats to coastal cities, intensifying the need for efficient and accurate methods to predict potential flood hazards. Trad…
Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations
Areg Karapetyan, Aaron Chung Hin Chow, Samer Madanat
In light of growing threats posed by climate change in general and sea level rise (SLR) in particular, the necessity for computationally efficient means to estimate and analyze pot…
Improved Approximation Guarantees for Power Scheduling Problems With Sum-of-Squares Constraints
Trung Thanh Nguyen, Khaled Elbassioni, Areg Karapetyan +1
We study a class of combinatorial scheduling problems characterized by a particular type of constraint often associated with electrical power or gas energy. This constraint appears…
Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots
Eyad Shaklab, Areg Karapetyan, Arjun Sharma +5
In addition to its crucial impact on customer satisfaction, last-mile delivery (LMD) is notorious for being the most time-consuming and costly stage of the shipping process. Pressi…
DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked Facilities
Bushra Alshehhi, Areg Karapetyan, Khaled Elbassioni +2
With the electrification of transportation, the rising uptake of electric vehicles (EVs) might stress distribution networks significantly, leaving their performance degraded and st…
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection
Majid Khonji, Rashid Alyassi, Wolfgang Merkt +5
In transportation networks, where traffic lights have traditionally been used for vehicle coordination, intersections act as natural bottlenecks. A formidable challenge for existin…
Explainable AI as a Social Microscope: A Case Study on Academic Performance
Anahit Sargsyan, Areg Karapetyan, Wei Lee Woon +1
Academic performance is perceived as a product of complex interactions between students' overall experience, personal characteristics and upbringing. Data science techniques, most…
Approximations for Generalized Unsplittable Flow on Paths with Application to Power Systems Optimization
Areg Karapetyan, Khaled Elbassioni, Majid Khonji +1
The Unsplittable Flow on a Path (UFP) problem has garnered considerable attention as a challenging combinatorial optimization problem with notable practical implications. Steered b…
Autonomous Recharging and Flight Mission Planning for Battery-operated Autonomous Drones
Rashid Alyassi, Majid Khonji, Areg Karapetyan +3
Unmanned aerial vehicles (UAVs), commonly known as drones, are being increasingly deployed throughout the globe as a means to streamline monitoring, inspection, mapping, and logist…
Assessing the Privacy Cost in Centralized Event-Based Demand Response for Microgrids
Areg Karapetyan, Syafiq Kamarul Azman, Zeyar Aung
Demand response (DR) programs have emerged as a potential key enabling ingredient in the context of smart grid (SG). Nevertheless, the rising concerns over privacy issues raised by…
Online Algorithm for Demand Response with Inelastic Demands and Apparent Power Constraint
Areg Karapetyan, Majid Khonji, Chi-Kin Chau +1
A classical problem in power systems is to allocate in-coming (elastic or inelastic) demands without violating the operating constraints of electric networks in an online fashion.…
Efficient Algorithm for Scalable Event-based Demand Response Management in Microgrids
Areg Karapetyan, Majid Khonji, Chi-Kin Chau +2
Demand response management has become one of the key enabling technologies for smart grids. Motivated by the increasing demand response incentives offered by service operators, mor…
Complex-demand Scheduling Problem with Application in Smart Grid
Majid Khonji, Areg Karapetyan, Khaled Elbassioni +1
We consider the problem of scheduling complex-valued demands over a discretized time horizon. Given a set of users, each user is associated with a set of demands representing diffe…