Arindam K. Das

ORCID: 0000-0001-6605-2258
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About
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Research Areas
  • Optimal Power Flow Distribution
  • Vehicle Routing Optimization Methods
  • Infrastructure Resilience and Vulnerability Analysis
  • Machine Learning in Bioinformatics
  • Smart Grid Security and Resilience
  • Scheduling and Optimization Algorithms
  • Gene expression and cancer classification
  • Optimization and Search Problems
  • Advanced biosensing and bioanalysis techniques
  • Power Systems and Technologies
  • Landslides and related hazards
  • Resource-Constrained Project Scheduling
  • Advanced Wireless Network Optimization
  • Handwritten Text Recognition Techniques
  • Reliability and Maintenance Optimization
  • Vehicle License Plate Recognition
  • Modular Robots and Swarm Intelligence
  • Technology and Security Systems
  • DNA and Biological Computing

University of Washington
2025

Eastern Washington University
2017-2024

HCL Technologies (India)
2016

York University
2009

Distribution systems are often crippled by catastrophic damage caused a natural disaster. Well-designed hardening can significantly improve the performance of postdisaster restoration operations. Such is quantified resilience measure associated with operability trajectory. The distribution system problem be formulated as two-stage stochastic problem, where inner operational addresses proper scheduling repairs and outer judicious selection components to harden. We propose deterministic single...

10.1109/tpwrs.2018.2836391 article EN publisher-specific-oa IEEE Transactions on Power Systems 2018-05-15

Natural disasters, such as hurricanes, earthquakes, and large wind or ice storms, typically cause damages to a number of components in electricity distribution networks. Since power cannot be restored until these are repaired, strategically scheduling the repairs by available crews could reduce harm done affected community. Considering radial structure many networks, we model this repair restoration process problem with soft precedence constraints. As benchmark, first formulate time-indexed...

10.1109/tpwrs.2019.2898966 article EN publisher-specific-oa IEEE Transactions on Power Systems 2019-02-12

This paper proposes algorithms to localize vehicle number plates from natural background images, segment the characters localized and recognize segmented characters.The reported system is tested on a dataset of 560 sample images captured with different under various illuminations.The performance accuracy proposed has been calculated at each stage, which 97.1%, 95.4% 95.72% for localisation & extraction, character segmentation recognition respectively.The method also capable localising...

10.5121/csit.2016.60615 article EN 2016-05-21

Natural disasters, such as hurricanes, earthquakes and large wind or ice storms, typically require the repair of a number components in electricity distribution networks. Since power cannot be restored before these repairs have been completed, optimally scheduling available crews to minimize cumulative duration customer interruptions reduces harm done affected community. Considering radial network structure system, this restoration process can modeled problem with soft precedence...

10.48550/arxiv.1702.08382 preprint EN other-oa arXiv (Cornell University) 2017-01-01

Deoxyribonucleic acid (DNA) has emerged as a promising building block for next-generation ultra-high density storage devices. Although DNA high durability and extremely in nature, its potential the basis of devices is currently hindered by limitations such expensive complex fabrication processes time-consuming read-write operations. In this article, we propose use crossbar array architecture an electrically readable read-only memory (DNA-ROM). While information can be 'written' error-free to...

10.1038/s41598-023-33004-6 article EN cc-by Scientific Reports 2023-04-24

Severe weather events such as floods, hurricanes, earthquakes, and large wind or ice storms can cause extensive damage to electrical distribution networks, requiring a multi-day restoration effort. Complicating the recovery process is lack of complete accurate information regarding extent locations damages, at least during initial part process. These factors make workforce planning challenging. In this paper, we adopt rolling horizon framework whereby repairs are planned for adjustable...

10.48550/arxiv.2404.03197 preprint EN arXiv (Cornell University) 2024-04-04

Genetic sequence identification from electrical characterization of single molecules has emerged as a promising alternative to traditional approaches. Since data on is extremely noisy due the limitations even state-of-the-art approaches, achieving high detection rates challenging, particularly when task involves being able distinguish its base-pair mismatches. To address this issue, we propose an architecture based combining convolutional neural network with ensemble learning method,...

10.1101/2024.12.03.626667 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-12-07

Natural disasters, such as hurricanes, large wind and ice storms, typically require the repair of a number com- ponents in electricity distribution networks. Since power cannot be restored before completion repairs, optimally scheduling available crews to minimize cu- mulative duration customer interruptions reduces harm done affected community. We have previously proposed approximation algorithms schedule post-disaster repairs networks with complete damage information[1]. In this paper, we...

10.1145/3397776.3397782 article EN ACM SIGMETRICS Performance Evaluation Review 2020-04-30

Natural disasters require repairing all damaged components in electricity distribution networks. Optimal scheduling repair crews to minimize the aggregate duration of interruptions reduces harm. We consider fact that number switches is much smaller than edges. The problem modeled by a parallel identical machine with group soft precedence constraints total weighted energization time. propose an LP-based list algorithm and conversion analyze their theoretical performances.

10.48550/arxiv.1906.06461 preprint EN other-oa arXiv (Cornell University) 2019-01-01

Distribution systems are often crippled by catastrophic damage caused a natural disaster. Well-designed hardening can significantly improve the performance of post-disaster restoration operations. Such is quantified resilience measure associated with operability trajectory. The distribution system problem be formulated as two-stage stochastic problem, where inner operational addresses proper sequencing repairs and outer judicious selection components to harden. We propose deterministic...

10.48550/arxiv.1711.02205 preprint EN other-oa arXiv (Cornell University) 2017-01-01
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