Dr Hanjabam Saratchandra Sharma

Dr Hanjabam Saratchandra Sharma
Assistant Professor & Head of Department

Qualification: 

Bachelor’s Degree: B.Tech (Computer Science and Engineering), NERIST, Nirjuli, Itanagar.
Master’s Degree:    M.Tech (Computer Science and Engineering), NERIST, Nirjuli, Itanagar.
Ph.D.:  Ph.D (Computer Science and Engineering), NERIST, Nirjuli, Itanagar.
Other:   Qualified UGC-NET December 2018

Areas of Specialization:

Wireless Sensor Networks and Internet of Things, Machine Learning, Robotics, AR and VR, Software Engineering, Web Development.

  • Co-PI of Project Titled “Smart Health Solution for Cattle” under DST (Department of Science and Technology) Govt. of India Under National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) for the Technology Innovation Hub (FINTECH) at IIT Bhillai. The Financial support for this project approved under the TSP (Tribal Area Sub Plan) of IIT Bhilai Innovative and Technology Foundation (IBITF)
  1. Sharma, H.S., Sarkar, A. & Singh, M.M. (2023). An efficient deep learning-based solution for network intrusion detection in wireless sensor network. International Journal of System Assurance Engineering and Management (2023), Vol. 14, pp 2423-2446, Springer. https://doi.org/10.1007/s13198-023-02090-0 (SCI-Indexed Journal Impact Factor: 2.0)
  2. Sarkar, A., Sharma, H. S. & Singh, M. M. (2023): A supervised machine learning-based solution for efficient network intrusion detection using ensemble learning based on hyperparameter optimization. Int. j. inf. tecnol. 15, 423–434 (2023). https://doi.org/10.1007/s41870-022-01115-4
  1. Saratchandra Sharma, H., Marjit Singh, M., Sarkar, A. (2023). Detection of Mirai and GAF-GYT Attack in Wireless Sensor Network. In: Hemanth, J., Pelusi, D., Chen, J.IZ. (eds) Intelligent Cyber Physical Systems and Internet of Things. ICoICI 2022. Engineering Cyber-Physical Systems and Critical Infrastructures, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-031-18497-0_44
  2. Sharma, H.S., Singh, M.M., Sarkar, A. (2023). Machine Learning-Based DoS Attack Detection Techniques in Wireless Sensor Network: A Review. In: Kumar, A., Ghinea, G., Merugu, S., Hashimoto, T. (eds) Proceedings of the International Conference on Cognitive and Intelligent Computing. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-19-2358-6_53

Conference

  1. Singh, M.M., Sharma, H.S. & Sarkar, A. (2024). PSO-based Hyperparameter Optimization in CNN for detection of Mirai and GAFGYT attacks in WSNs. 2nd International Conference on Women in Multifaceted Research (ICWMR-2024), 11th - 12th, March 2024, Gopal Narayan Singh University, Bihar, India.
  2. Nishi Kumar T M Singh, Ningrinla Marchang and Saratchandra H Sharma. Article: Boundary Probabilistic Algorithm for Source Location Privacy in Wireless Sensor Networks. IJCA Proceedings on National Conference on Recent Trends in Information Technology NCIT 2015(1):18-22, January 2016 
  • Title of the invention: “An automatic breathing support device for preventing mixing of gases”, Dr. Moirangthem Marjit Singh, Hanjabam Saratchandra Sharma.
    Application No .202131034282 A
  1. HOD of Computer Science and Engineering Department