Areg Karapetyan

Areg Karapetyan
Khalifa University | KU · Electrical Enginnering and Computer Science

Ph.D. in Interdisciplinary Engineering
Researching in Optimization, Algorithms, Theory and AI with applications to Autonomous Vehicles and IoT.

About

18
Publications
2,113
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
244
Citations
Citations since 2016
17 Research Items
241 Citations
2016201720182019202020212022020406080
2016201720182019202020212022020406080
2016201720182019202020212022020406080
2016201720182019202020212022020406080
Introduction
Researching in Approximation Algorithms, Combinatorial Optimization, Theory of Computing, Explainable AI and their practical applications in Cyber-physical systems and IoT.
Additional affiliations
March 2020 - present
Khalifa University
Position
  • PostDoc Position
Description
  • Postdoctoral Fellow at AVLabs, Khalifa University. Researching in Mathematical Optimization, Algorithms, Theory and AI with applications to Autonomous Vehicles and IoT.
June 2019 - March 2020
Kyoto University
Position
  • PostDoc Position
Description
  • Researching in Approximation Algorithms, Combinatorial Optimization, Theory of Computing, Explainable AI and their practical applications in Cyber-physical systems and IoT.
September 2016 - December 2016
Khalifa University
Position
  • Research Assistant
Description
  • Teaching Assistant for CIS619 - Topics in Algorithmic Game Theory course.
Education
September 2017 - December 2017
Massachusetts Institute of Technology
Field of study
  • Computer Science
September 2015 - May 2019
Khalifa University
Field of study
  • Electrical Engineering and Computer Science
September 2013 - May 2015
Khalifa University
Field of study
  • Electrical Engineering and Computer Science

Publications

Publications (18)
Article
Full-text available
The Unsplittable Flow on a Path (UFP) problem has garnered considerable attention as a challenging combinatorial optimization problem with notable practical implications. Steered by its pivotal applications in power engineering, the present work formulates a novel generalization of UFP, wherein demands and capacities in the input instance are monot...
Preprint
In transportation networks, where traffic lights have traditionally been used for vehicle coordination, intersections act as natural bottlenecks. A formidable challenge for existing automated intersections lies in detecting and reasoning about uncertainty from the operating environment and human-driven vehicles. In this paper, we propose a risk-awa...
Article
Full-text available
Unmanned aerial vehicles (UAVs), commonly known as drones, are being increasingly deployed throughout the globe as a means to streamline monitoring, inspection, mapping, and logistic routines. When dispatched on autonomous missions, drones require an intelligent decision-making system for trajectory planning and tour optimization. Given the limited...
Article
Full-text available
A routine task faced by Microgrid (MG) operators is to optimally allocate incoming power demand requests while accounting for the underlying power distribution network and the associated constraints. Typically, this has been formulated as an offline optimization problem for day-ahead scheduling, assuming perfect forecasting of the demands. In pract...
Article
Full-text available
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning...
Chapter
Academic performance is perceived as a product of complex interactions between students’ overall experience, personal characteristics and upbringing. Data science techniques, most commonly involving regression analysis and related approaches, serve as a viable means to explore this interplay. However, these tend to extract factors with wide-ranging...
Article
The Internet-of-Things (IoT) has engendered a new paradigm of integrated sensing and actuation systems for intelligent monitoring and control of smart homes and buildings. One viable manifestation is that of IoT-empowered smart lighting systems, which rely on the interplay between smart light bulbs (equipped with controllable LED devices and wirele...
Article
Full-text available
Stimulated by salient applications arising from power systems, this paper studies a class of non-linear Knapsack problems with non-separable quadratic constrains, formulated in either binary or integer form. These problems resemble the duals of the corresponding variants of 2-weighted Knapsack problem (a.k.a., complex-demand Knapsack problem) which...
Conference Paper
The interplay of smart light bulbs (equipped with wireless controllable LEDs) and mobile sensors (embedded in wearable devices, such as smart watches and spectacles) enables a wide range of interactive lighting applications. One notable example is a smart lighting control system that provides automated illuminance management by wearable sensors clo...
Article
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 different power consumption preferences. A demand is represented by a complex number, a time interval, and a utility value obtained if it is satisfied. At each time slot, the...
Preprint
Academic performance is a key component in the development and subsequent empowerment of youth. It is affected by a large number of different factors, such as inherent ability and socioeconomic circumstance, which can vary widely amongst different individuals. In particular, children from disadvantaged families face unique challenges that do not oc...
Conference Paper
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 customers subscribed to these programs constitute a formidable hurdle towards their effective deployment and utilization. This has driven extensive research to resolve t...
Preprint
Full-text available
Demand response (DR) management 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 customers subscribed to these programs constitute a major threat towards their effective deployment and utilization. This has driven extensive research to res...
Preprint
Full-text available
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. Although online decision problems have been well-studied in the literature, a unique challenge arising in power systems is the presence of non-linear constraints, a depar...
Article
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, more customers are subscribing to various demand response programs. However, with growing customer participation, the problem of determining the optimal loads to be curtaile...
Conference Paper
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 different user’s preferences. A demand is represented by a complex number, a time interval, and a utility value obtained if the demand is satisfied. At each time slot, the mag...
Conference Paper
Full-text available
We conduct a comparative life cycle assessment of two business card options: a smartphone software and the common paper- based alternative. Life cycle impacts of production, distribution and use of business cards were compared and contrasted for both systems. Given the prevalence and multifunctionality of digital devices and services, we analyze th...

Network

Cited By

Projects

Projects (3)
Project
The interplay of smart light bulbs (equipped with wireless controllable LEDs) and mobile sensors (embedded in wearable devices, such as smart watches and spectacles) enables a wide range of interactive lighting applications. One notable example is a smart lighting control system that provides automated illuminance management by wearable sensors close to end-users. In this project, we aim at developing energy-efficient smart lighting control system using mobile light sensors for measuring local illuminance and assisting smart light bulbs to coordinate the brightness adjustments, while meeting users' heterogeneous lighting preferences. A pivotal challenge in these systems is attributed to the presence of oblivious mobile sensors hampered by the uncertainties in their relative locations to light bulbs, unknown indoor environment and time-varying background light sources. To cope with these hindrances, we seek to devise effective model-agnostic control algorithms inducing continuous adaptive coordination of oblivious mobile sensors without complete knowledge of dynamic operational environment and the associated parameters.