Dr. Kishore Medhi

Dr. Kishore Medhi

Assistant Professor

  • Faculty of Computer Technology


Name: Specialization:
Dr. Kishore Medhi Artificial Intelligency, Internet of Things, Image Processing, Machine Learning



Qualification Board / Univesity Year
Ph.D in Information Technology NEHU, Shillong 2024
M.Tech in Information Technology NEHU, Shillong 2017
B.Tech in Information Technology NEHU, Shillong 2014
HS AHSEC, Cotton College 2009




Personal Interest


Working Experience


Year             Organization Position
Oct 2022 to till today Assam down town University, Guwahati Assistant Professor
Aug 2019 to Feb 2020 MIT Pune Campus, Shillong Assistant Professor



Journal Publications

1. Medhi K, Hoque N, Dutta SK, and Hussain MI, ”An efficient EEG signal classification technique for Brain-Computer Interface using hybrid Deep”, Published in Biomedical Signal Processing and Control, ELSEVIER, 2022 July 11. (SCIE Indexed, IF: 5.1).

2. Medhi K, Ahmed N, Hussain MI, ”Dew-based offline computing architecture for healthcare IoT”, Published in ICT Express, , ELSEVIER, 2021 Sep 22. (SCIE Indexed, IF: 5.4).

3. Rahman, Hafizur, Kishore Medhi, and Md Iftekhar Hussain. "DynO-IoT: a dynamic ontology for provisioning semantic interoperability in internet of things." International Journal of Sensor Networks 41.2 (2023): 114-125. (SCIE Indexed, IF: 1.1)

4. Medhi K, Khwairakpam A, Kumar VD, Kandar D, ”Noise Reduction in Synthetic Aperture Radar Images Using Convolutional Neural Network”, Published in Journal of Computational and Theoretical Nanoscience. 2018 Aug 1;15(8):2572-6.(Scopus)

International Conference Publications

1. Medhi K, Hussain MI. Lightweight arrhythmia detection using cross-correlation. In2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST) 2022 Feb 11 (pp. 296-301). IEEE.

2. Medhi K, Arifuzzaman Mondal M, Hussain I, ”An Approach to Handle Heterogeneous Healthcare IoT Data Using Deep Convolutional Neural Network”, In Emerging Technologies for Smart Cities 2021 (pp. 25-31). Springer, Singapore.

3. Amitab K, Medhi K, Kandar D, Paul BS, ”Impulse noise reduction in digital images using fuzzy logic and artificial neural network”, In Proceedings of the International Conference on Computing and Communication Systems 2018 (pp. 155-165). Springer, Singapore.

4. Medhi K, Amitab K, Kandar D, Paul BS, ”Noise Reduction in Synthetic Aperture Radar Images Using Fuzzy and Self-Organizing Map”, In Advances in Communication, Devices and Networking 2018 (pp. 295-301). Springer, Singapore.

5. Das, Anindita, Srabani Patikar, and Kishore Medhi. "A survey on Audio-Visual Speech Recognition System." 2023 4th International Conference on Computing and Communication Systems (I3CS). IEEE, 2023.

6. Srivastava, Ankit, Sangita Neog, and Kishore Medhi. "An Efficient Deep Learning Architecture for Internet of Medical Things." 2023 4th International Conference on Computing and Communication Systems (I3CS). IEEE, 2023.

Book Chapter Publications

1. Medhi, Kishore, and Md Iftekhar Hussain. "Role of Dew Computing in Smart Healthcare Applications." Dew Computing: The Sustainable IoT Perspectives. Singapore: Springer Nature Singapore, 2023. 225-239.

Archive Published

1. Medhi K, Jamil M, Hussain MI, ”Automatic detection of COVID-19 infection from chest x-ray using deep learning”, medrxiv. 2020 Jan 1.7.


Awards & Achievements

Project Grants

Project Title Role Funding Agency Status
An App based Smart Library Management System (SLMS) using QR Code Technology Co - Principal Investigator Assam down town University (Under Seed Money Scheme 2023) Ongoing