Pratyay Kuila

About

Dr. Pratyay Kuila currently holds the position of Associate Professor in the Department of Computer Science and Engineering, National Institute of Technology, Sikkim, India. Furthermore, Dr. Kuila has an extensive academic background, having also served as a visiting faculty member at the Indian Association for the Cultivation of Science in Kolkata.

Dr. Kuila is recognized as one of the Indian researchers who have been among the top 2% Most Influential Scientists since 2019 by a study conducted by Stanford University, USA, for his outstanding research contributions in the field of Artificial Intelligence. Additionally, his remarkable work has earned him international recognition. Since 2019, he has been acknowledged as one of the leading scientists in engineering and technology according to the "AD Scientific Index (Alper-Doger Scientific Index)."

Dr. Kuila has made significant contributions to his field, with a published book and over forty research articles in the fields of Artificial Intelligence, Evolutionary Algorithms, Wireless Sensor Networks, Fog, and Edge Computing. His work has been published in several esteemed journals and IEEE Transactions.

Employment

• National Institute of Technology Sikkim Associate Professor
  2016 - Present

Education

• Indian Institute of Technology (ISM) Dhanbad PhD
  2011 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (85)

• Cost-efficient quantum cloud task offloading with quantum-inspired particle swarm optimization
  Future Generation Computer Systems 2026 DOI: 10.1016/j.future.2025.108095
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• Quantum GA-driven Digital Twin for task urgency-aware partitioning and offloading in multi UAV-Aided MEC systems
  Ad Hoc Networks 2025 DOI: 10.1016/j.adhoc.2025.103891
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• Quantum-Inspired Differential Evolution With Decoding Using Hashing for Efficient User Allocation in Edge Computing Environment
  IEEE Transactions on Emerging Topics in Computing 2025 DOI: 10.1109/TETC.2024.3433570
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• Quantum-inspired gravitational search algorithm-based low-price binary task offloading for multi-users in unmanned aerial vehicle-assisted edge computing systems
  Expert Systems with Applications 2025 DOI: 10.1016/j.eswa.2024.125762
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• Particle Swarm Optimization for Efficient Placement of Relay Nodes in Cluster-Based Wireless Sensor Networks
  2024 DOI: 10.2991/978-94-6463-529-4_31
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• Quantum-inspired particle swarm optimization for efficient IoT service placement in edge computing systems
  Expert Systems with Applications 2024 DOI: 10.1016/j.eswa.2023.121270
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• Quantum-Inspired Differential Evolution for Freshness-aware Caching-aided Offloading in Digital Twin-enabled Internet of Vehicles
  IEEE Transactions on Intelligent Vehicles 2024 DOI: 10.1109/TIV.2024.3401033
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• Quantum-Inspired Differential Evolution Based Efficient IoT Service Placement in Edge Networks
  2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 2024 DOI: 10.1109/ICCCNT61001.2024.10726158
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• Popularity-Conscious Service Caching and Offloading in Digital Twin and NOMA-Aided Connected Autonomous Vehicular Systems
  IEEE Transactions on Network and Service Management 2024 DOI: 10.1109/TNSM.2024.3462481
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• Particle Swarm Optimization for Latency-aware Multi-user Task Offloading in Resource-constrained Fog-cloud Framework
  2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 2024 DOI: 10.1109/ICCCNT61001.2024.10724815
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