Dr Satheesh Kumar B

Assistant Professor

Computer Science and Engineering

0431-2258444

satheeshkumar.b@ist.srmtrichy.edu.in

Total Experience 

Area of intErest

Image Processing, Video Retrieval and Medical Image Analysis.

10 Years

course handled

Operating System and DBMS


Education Details

  • Publication details

    Journal Publications


    Vanjimalar.S, Velmurugan.S, L. Kathirvelkumaran, Subramanian.K, Angel.S and Satheesh Kumar B, Exploring the Landscape of Machine Learning: Challenges and Applications – A Comprehensive Review, Indian Journal of Nature Science-2024. (Impact Factor 1.628).


    B. Buvaneswari, J. Vijayaraj & Satheesh Kumar B, Histopathological image based breast cancer detection employing 3D convolutional neural network feature extraction and Stochastic Diffusion Kernel, The Imaging Science Journal, Taylor and Francis-2023, (Impact Factor 1.10)(Q2).


    Satheesh Kumar B, K. Seetharaman, Video Sequence Feature Extraction and Segmentation using Likelihood Regression Model, Multimedia Tools and Applications, Springer-2021. (Impact Factor 3.6), SCI (Q1).


    Satheesh Kumar B, K. Seetharaman, Segmentation and Feature Extraction of Content Based Video Retrieval using Maximum Likelihood Regression Model with Modified VGG_16, Webology-2021. (Impact Factor 1.61).


    Satheesh Kumar B, K. Seetharaman, Content Based Video Retrieval using Deep Learning Feature Extraction by Modified VGG_16, Journal of Ambient Intelligence and Humanized Computing, Springer-2021. (Impact Factor 7.662), SCI (Q1).


    International and National Conferences


    M. Arvindham, Satheesh Kumar B, Velumurgan and V. Janakiraman., Statistical Forecasting of Fat in Body Proportion Utilizing Nonlinear Anthropological Parameters and Density Evaluation., International Conference on Big Data, Machine Learning and IOT Applications (ICBMLIA), 2025.(Scopus).


    Boobalan and Satheesh Kumar B., Deep Learning Model Based 3D MRI Imaging in Brain Tumor Detection by Feature Selection and Classification., Second International Conference on Innovations in Thermo-Fluid Engineering and Sciences (ICITFES-2025), 2025. (Scopus).


    Satheesh Kumar B, C.Ramesh Kumar, Ruchi  Rani Garg, Amit Kumar Gupta, Mangal Sain, Seungmin Hwang and Young Jin Jung., Adaptive Semantic Checking and Hidden Feature Extraction for Optimal Medical Video Retrieval., Outline of Papers of the Academic Research Presentation of the Korean Society of Magnetism, 2024.(Scopus).


    Sathiyaprasad and Satheesh Kumar B., Bayesian Network-based Active Learning for Ontology-based Video Retrieval using Hidden Markov Logic Model with Edge Histogram Descriptor., IEEE IAS Global Conference on Emerging Technologies (GlobConET), 2023.(Scopus).


    Sathiyaprasad and Satheesh Kumar B, Multi Spectral Image Retrieval in Remote Sensing Big Data using Fast Recurrent Convolutional Neural Network (FRCNN), 2021, 2022 International Conference for Advancement in Technology (ICONAT), IEEE Explore (Scopus).


    Satheesh Kumar B and B. Sathiyaprasad., Bone Cancer Detection using Feature Extraction with Classification using K-Nearest Neighbor and Decision Tree Algorithm, 4th International Conference on Intelligent Computing (IConIC), 2021. (Proceeding).


    Satheesh Kumar B, K. Seetharaman and B. Sathiyaprasad., Content Based Video Retrieval Based on Security using Enhanced Video Retrieval System with Region Based Neural Network (EVRS-RNN) and K-Means Classification, International Conference on Artificial Intelligence and Sustainable Engineering (AISE-2020), 2021. (Proceeding).


    Satheesh Kumar B, K. Seetharaman and B. Sathiyaprasad., A Novel Adaboost Regression Classifier (ABR) for Video Retrieval in Video Sequence, 3rd International Conference on Emerging Current Trends in Computing and Expert Technology (COMET), PP. 497-503, 2020. (Proceeding).


    B. Sathiyaprasad, K. Seetharaman and Satheesh Kumar B., Content Based Video Retrieval using Improved GLCM with Region Based Pre-Convoluted Neural Network (RPCNN), Proceeding of the Third International Conference on Intelligent Sustainable Systems (ICISS), PP. 772-777, 2020. (Scopus).


    B. Sathiyaprasad, K. Seetharaman and Satheesh Kumar B., Histogram-Based Threshold Segmentation of Video Frames using Otsu’s Method, TEQIP –III Sponsored First International Conference on Innovation and Challenges in Computing, Analytics and Security (ICICCAS-2020), PP. 25, 2020, (Proceeding).


    Satheesh Kumar B, Attended in International Conference on Recent Computing and Communication Technologies (ICRCCT) at St. Michael College of Engineering and Technology.












  • Awards and Achievements

    NIL

  • Workshops / Seminars

    NIL



  • Work Experience

    Academic Experience


    Assistant Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh (Aug 2022 – June 2025)


    Research Experience


    Full Time - Research Scholar, Department of Computer Science and Engineering, Annamalai University, Tamilnadu (Dec 2015 – July 2022)

  • Memberships

    NIL

  • Funded Projects

    NIL