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, Content Based Video Retrieval using Deep Learning Feature Extraction by Modified VGG_16, Journal of Ambient Intelligence and Humanized Computing, Springer-2022. (Impact Factor 7.662), SCI (Q1).

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).

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.

Book Chapters

Satheesh Kumar B, M. Umapathy., Neuro imaging based alzheimer disease detection using generative adversarial model with deep learning algorithms, Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practices, Springer, 2025 (Accepted).

B.Sathiyaprasad, Satheesh Kumar B., Secure Data Transmission Based on Deep Q-Learning Architecture with Internet of Things Module in Healthcare Application, Creating Smart Healthcare with Block chain and Advanced Digital Technology, Apple Academic Press, 2024.

J. Vijayaraj, Satheesh Kumar B and R. Manikandan., Auto encoder based dimensionality reduction in 3D breast images for efficient classification with processing by deep learning architectures, Computational Intelligence and Modeling Techniques for Disease Detection in Mammogram Images, Elsevier, 2024.

B. Sathiyaprasad, Satheesh Kumar B., Multimodal lung image fusion and pattern recognition based on semantic segmentation and machine learning techniques, IGI Global, 2023.

Satheesh Kumar B, K. Sampath Kumar., Smart Healthcare Application Implementation of AL and Blockchain Technology, AI, IoT, and Blockchain Breakthroughs in E-Governance, IGI Global, 2022.

B. Sathiyaprasad, Satheesh Kumar B., Block Chain Security System in Healthcare Data Analytics with IoT and Cloud Computing Based on Machine Learning, Image Processing and Intelligent Computing Systems, IPIC- CRC Press Taylor and Francis group, 2022.

Veeralakshmi Ponnuramu, Vijayaraj J, Satheesh Kumar B, Manikandan Ramachandran, Sudden Cardiac Arrest Detection by Feature Learning and Classification Using Deep Learning Architecture, Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death, IGI Global, 2022.

Satheesh Kumar B, B. Sathiyaprasad, Medical Data Analysis using Feature Extraction and Classification Based on Machine Learning and Metaheuristic Optimization Algorithm Applications of Computational Science in Artificial Intelligence, IGI Global, 2021.

Book Series

Satheesh Kumar B, B. Sathiyaprasad, Medical Data Analysis Using Feature Extraction and Classification Based on Machine Learning and Metaheuristic Optimization Algorithm, Applications of Computational Science in Artificial Intelligence.

Satheesh Kumar B, K. Seetharaman, 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.

Satheesh Kumar B, B. Sathiyaprasad., Bone Cancer Detection Using Feature Extraction with Classification Using K-Nearest Neighbor and Decision Tree Algorithm., Smart Intelligent Computing and Communication Technology. 

Satheesh Kumar B, K. Seetharaman, B. Sathiyaprasad., A Novel Adaboost Regression Classifier for Video Retrieval in Video Sequence, Intelligent Systems and Computer Technology.

Webinar on "Current Trends in Data Analytics and Machine Learning", Kongunadu Arts and Science College, Coimbatore, Tamil Nadu.11thJuly2023 as a Resource Person

Papers Reviewed in Refereed Journals and Conferences- "Hindawi Journals" and "IMPACT22 Conference"

Attended Two Weeks FDP on "Empowering the Future: AI, Deep Learning and Machine Learning for Innovation and Transformation", Organized by SRMIST Tiruchirappalli Campus, 24 July to 09 August 2023 

Attended One Week FDP on "International Faculty Development Programme in Association with Computer Society of India (CSI) on “Emerging Trends and Research Opportunities in Computer Science”, organized by Madanapalle Institute of Technology and Science, 31 Oct to 05 Nov 2022.

Attended One Week FDP on" National Level Faculty Development Program on “Amazon Web Services” organized by Panimalar Engineering College, 22 to 27 Aug 2022.

Attended Certificate Course for Completion of “Latex Training” organized by Sanjay Ghodawat University, training offered by Spoken Tutorial Project IIT Bombay, funded by National Mission on Education through ICT, MHRD, Govt., of India, 22 Feb to 06 March 2021.

Attended Five Days Workshop on “Data Science using Python” organized by 360Digi TMG, India 11 to 15 May 2020.

Attended Five Days Short Term Training Programme on “Big Data Analytics” organized by Annamalai University 2016.

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)

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