Dr. Saurabh Kumar

About

Dr. Saurabh Kumar, Ph.D. in Computer Science and Engineering, is an accomplished researcher and innovator whose work spans cloud computing, artificial intelligence, and applied optimization techniques. He is the creator of CloudE, a Python-based datacenter simulation platform that enables the design and benchmarking of resource-allocation and VM-migration strategies under realistic workloads. His contributions include novel hybrid swarm-intelligence algorithms—combining Firefly, Artificial Bee Colony, Cuckoo, and PSO—with deep neural networks, yielding significant improvements in energy efficiency, SLA compliance, and throughput over existing methods.

Dr. Kumar has authored numerous peer-reviewed publications in top IEEE and Springer venues, covering topics such as energy-aware load balancing, fault-tolerant VM scheduling, federated learning for cybersecurity, and multimodal diagnostic frameworks in healthcare. His credit-card fraud detection work, leveraging GOA-enhanced DNNs, demonstrated marked gains in precision, recall, and overall accuracy. He maintains a strong commitment to reproducibility and low-plagiarism standards in all his research.

As founder of Thesis Chandigarh, Dr. Kumar mentors Ph.D. candidates worldwide—guiding them through rigorous literature surveys, mathematical formulation, and prototype development in MATLAB and Python. He also hosts “The Research Minds” podcast, engaging experts on topics from advanced AI to traditional Indian knowledge systems.

Employment

• Chitkara University Sr. Researcher
  2019 - Present
• THESIS CHANDIGARH Algorithm and Design Head
  2016 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• A Multi‐Layer Adaptive Resource Allocation Approach to enhance Resource Utilization for SDN‐Based Edge Computing
  Concurrency and Computation: Practice and Experience 2026
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• A Multi‐Layer Adaptive Resource Allocation Approach to enhance Resource Utilization for SDN‐Based Edge Computing
  Ajay Nain, Rohit Malik, Sophiya Sheikh

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  • Saurabh Kumar
  Concurrency and Computation: Practice and Experience 2026 DOI: 10.1002/cpe.70900
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• An advanced framework for predicting pollen outbreaks using multi-input multi-output temporal convolutional networks and firefly algorithm
  Scientific Reports 2026 DOI: 10.1038/s41598-026-55930-x
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• DNN-Based PM Ranking Integrated with Firefly Algorithm for VM Replacement Framework
  IAENG International Journal of Computer Science 2026
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• Resource Optimization and User Interaction Enhancement in Digital Libraries: A Hybrid Framework Incorporating ABC Optimization and Blockchain Technology
  Data & Knowledge Engineering 2026 DOI: 10.1016/j.datak.2026.102583
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• Firefly algorithm and DNN for improved contactless heart rate measurement from videos
  Scientific Reports 2026 DOI: 10.1038/s41598-025-32633-3
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• Algorithmic Approach to Virtual Machine Migration in Cloud Computing with Updated SESA Algorithm
  Amandeep Kaur, Saurabh Kumar, Deepali Gupta +5 more
  Sensors 2023 DOI: 10.3390/s23136117
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• Cosine elastic cluster scheduling algorithm for VM migration in cloud computing
  AIP Conference Proceedings 2023 DOI: 10.1063/5.0178989
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