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Academic Experts
Dr. Naveen Chauhan

Biography

Dr. Naveen Chauhan holds a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (Indian School of Mines), Dhanbad. He earned his M.Tech and B.Tech degrees in Computer Science and Engineering from recognized institutions in India.

With over 13 years of teaching and academic experience, Dr. Chauhan has served in various esteemed colleges and universities. His expertise spans a wide range of programming languages, including C, Java, Python, and Julia. He has taught and guided students in fundamental and advanced subjects such as computer networks, wireless mobile systems, data structures, and cryptography. Dr. Chauhan’s research endeavors are supported by hands-on experience with advanced simulation tools like NS-2, NS-3, CloudSim, and EdgeCloudSim. His scholarly work is reflected in numerous publications in reputed SCI-indexed journals. He has also worked on state-of-the-art computational platforms such as PARAM Shavak and DGX A100 supercomputers.

A passionate educator and researcher, Dr. Chauhan remains committed to innovation and continuous learning. He actively explores emerging technologies and contributes meaningfully to the academic and research communities.

Research Highlights

Dr. Naveen Chauhan’s research spans the domains of fog and cloud computing, resource allocation, and network optimization, with a special emphasis on intelligent offloading and decision-making frameworks. His work has contributed significantly to improving Quality of Service (QoS) in resource-constrained environments. His one of the notable contributions is the development of optimized resource allocation models in fog computing using neuro-fuzzy systems, which enhances the efficiency of application offloading while balancing resource load. He has also introduced probabilistic and entropy-based frameworks for deadline-aware and delay-sensitive service deployment in fog environments, demonstrating innovations in fog queueing theory and Brownian motion-based modeling. He has further extended this line of research into adaptive bandwidth adjustment techniques to address dynamic resource constraints in fog-based services. Overall, his research integrates theoretical modeling with simulation-based validation to solve complex problems in distributed computing systems, earning multiple citations and recognition within the community.

Areas of Interest
  • Computational Algorithms
  • Federated Learning
  • Cloud and Fog Computing
  • Network Security
  • Wireless Networks
Publications
  1. Naveen Chauhan, Rajeev Agrawal “Probabilistic Deadline-aware Application Offloading in a Multi Queueing Fog System: A Max Entropy Framework”. Grid Computing. 22 (31), (2024). https://doi.org/10.1007/s10723-024-09753-7
  2. Naveen Chauhan, Rajeev Agrawal, Haider Banka “Adaptive application offloading for QoS maximization in cloud-fog environment with delay-constraint”. Peer-to-Peer Networking and Applications. 16, 1010- 1026, (2023). https://doi.org/10.1007/s12083-023-01452-6
  3. Kanika Garg, Naveen Chauhan, Rajeev Agrawal, “Optimized Resource Allocation for Fog Network using Neuro-fuzzy Offloading Approach”. Arabian Journal for Science Engg. 47 (8), 1033-10346, (2022). https://doi.org/10.1007/s13369-022-06563-5
  4. Naveen Chauhan, Haider Banka, Rajeev Agrawal “Delay-aware application offloading in fog environment using multi-class Brownian model”. Wireless Networks, 27, 4479–4495 (2021). https://doi.org/10.1007/s11276-021-02724-w
  5. Naveen Chauhan, Haider Banka, Rajeev Agrawal “Adaptive bandwidth adjustment for resource constrained services in fog queueing system”. Cluster Computing, 24, 3837–3850 (2021). https://doi.org/10.1007/s10586-021-03378-1