Areg Karapetyan
Areg Karapetyan
Research Scientist at New York University Abu Dhabi
Verified email at - Homepage
Cited by
Cited by
Measuring the predictability of life outcomes with a scientific mass collaboration
MJ Salganik, I Lundberg, AT Kindel, CE Ahearn, K Al-Ghoneim, ...
Proceedings of the National Academy of Sciences 117 (15), 8398-8403, 2020
Autonomous recharging and flight mission planning for battery-operated autonomous drones
R Alyassi, M Khonji, A Karapetyan, SCK Chau, K Elbassioni, CM Tseng
IEEE Transactions on Automation Science and Engineering, 2022
A competitive scheduling algorithm for online demand response in islanded microgrids
A Karapetyan, M Khonji, SCK Chau, K Elbassioni, H Zeineldin, ...
IEEE Transactions on Power Systems 36 (4), 3430-3440, 2020
Efficient Algorithm for Scalable Event-based Demand Response Management in Microgrids
A Karapetyan, M Khonji, CK Chau, K Elbassioni, HH Zeineldin
IEEE Transactions on Smart Grid, 2016
Complex-demand scheduling problem with application in smart grid
M Khonji, A Karapetyan, K Elbassioni, SCK Chau
Theoretical Computer Science 761, 34-50, 2019
Smart lighting control using oblivious mobile sensors
A Karapetyan, SCK Chau, K Elbassioni, M Khonji, E Dababseh
Proceedings of the 5th Conference on Systems for Built Environments, 158-167, 2018
Assessing the Privacy Cost in Centralized Event-Based Demand Response for Microgrids
A Karapetyan, SK Azman, Z Aung
2017 IEEE Trustcom/BigDataSE/ICESS, 494-501, 2017
Approximation schemes for r-weighted Minimization Knapsack problems
K Elbassioni, A Karapetyan, TT Nguyen
Annals of Operations Research 279, 367-386, 2019
Explainable AI as a Social Microscope: A Case Study on Academic Performance
A Sargsyan, A Karapetyan, WL Woon, A Alshamsi
International Conference on Machine Learning, Optimization, and Data Science …, 2020
Multisensor adaptive control system for IoT-empowered smart lighting with oblivious mobile sensors
A Karapetyan, SCK Chau, K Elbassioni, SK Azman, M Khonji
ACM Transactions on Sensor Networks (TOSN) 16 (1), 1-21, 2019
A two-stage comparative life cycle assessment of paper-based and software-based business cards
A Karapetyan, W Yaqub, A Kirakosyan, S Sgouridis
Procedia Computer Science 52, 819-826, 2015
A Hybrid Deep Learning Approach for Vehicle Wheel Slip Prediction in Off-Road Environments
M Basri, A Karapetyan, B Hassan, M Khonji, J Dias
2022 IEEE International Symposium on Robotic and Sensors Environments (ROSE …, 2022
Multi-agent chance-constrained stochastic shortest path with application to risk-aware intelligent intersection
M Khonji, R Alyassi, W Merkt, A Karapetyan, X Huang, S Hong, J Dias, ...
arXiv preprint arXiv:2210.01766, 2022
Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots
E Shaklab, A Karapetyan, A Sharma, M Mebrahtu, M Basri, M Nagy, ...
arXiv preprint arXiv:2305.17705, 2023
Approximations for generalized unsplittable flow on paths with application to power systems optimization
A Karapetyan, K Elbassioni, M Khonji, SCK Chau
Annals of Operations Research, 1-32, 2022
DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked Facilities
B Alshehhi, A Karapetyan, K Elbassioni, SCK Chau, M Khonji
Proceedings of the 14th ACM International Conference on Future Energy …, 2023
Complex-Demand Scheduling Problem with Application in Smart Grid
M Khonji, A Karapetyan, K Elbassioni, CK Chau
Computing and Combinatorics. COCOON 2016. Lecture Notes in Computer Science 9797, 2016
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