Amit Chhabra

About

Dr. Amit Chhabra (Ph.D.) is currently serving as Associate Professor in the Department of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, India. He has 22+ years of teaching/research experience. His prime research areas are: Applications of Meta-heuristics in various domains such as Cloud Task Scheduling, Feature Selection in high-dimensional datasets, Automatic data clustering, etc. He has published 75+ research papers in high-quality SCI/SCIE/WoS/SCOPUS journals. He is an active reviewer of many prestigious journals which includes IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Internet of Things, IEEE Transactions on Services Computing, IEEE transactions on consumer electronics, IEEE Transactions on Sustainable Computing, IEEE transactions on System, Man, and Cybernetics, ACM Computing Surveys, ACM transactions on embedded computing systems, Information sciences, Artificial Intelligence Review, Alexandria Engineering Journal, Journal of Ambient Intelligence and Humanized Computing, Software: Practice and Experience, Concurrency and Computation: Practice and Experience, Cluster Computing, The Journal of Supercomputing, PeerJ Computer Science, Energies, Sensors, Symmetry, Computer, etc.

Employment

• Guru Nanak Dev University Associate Professor
  2004 - Present

Education

• Guru Nanak Dev University B.Tech (Computer Science & Engineering)
• Guru Nanak Dev University M.Tech (Information Technology)
• Guru Nanak Dev University Ph.D.

Projects & Funding

Projects & funding information is unavailable.

Publications (84)

• Predicting software defects using an extreme gradient boosting model tuned with reinforcement learning based spider wasp optimizer
  Automated Software Engineering 2026 DOI: 10.1007/s10515-025-00572-y
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• Predicting Corporate Financial Failure Using Sigmoidal Opposition-Based Arithmetic Optimization Algorithm
  Computational Economics 2025 DOI: 10.1007/s10614-024-10716-z
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• A Halton enhanced solution-based Human Evolutionary Algorithm for complex optimization and advanced feature selection problems
  Knowledge-Based Systems 2025 DOI: 10.1016/j.knosys.2025.113062
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• Data Protection and Encryption in Cloud Network Security
  2025 DOI: 10.4018/979-8-3693-6859-6.ch017
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• Chaotic quasi-opposition marine predator algorithm for automatic data clustering
  Cluster Computing 2025 DOI: 10.1007/S10586-024-04721-Y
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• Quantum-Inspired Multi-Objective Seahorse Optimizer for Predictive Maintenance Analysis Using Numerical Association Rule Mining
  Cognitive Computation 2025 DOI: 10.1007/s12559-025-10486-2
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• Empowering bonobo optimizer for global optimization and cloud scheduling problem
  Cluster Computing 2024 DOI: 10.1007/S10586-024-04671-5
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• Use of whale optimization algorithm and its variants for cloud task scheduling: a review
  2024 DOI: 10.1016/B978-0-32-395365-8.00010-5
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• Mutated Aquila Optimizer for assisting brain tumor segmentation
  Biomedical Signal Processing and Control 2024 DOI: 10.1016/j.bspc.2023.105089
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• Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets
  Multimedia Tools and Applications 2024 DOI: 10.1007/S11042-024-18295-9
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