20 Years – Academic, Teaching & Research Experience
Ph.D. (Computer Engineering) – Gujarat Technological University, Ahmedabad, India
M.E. (Information Technology) – L.D. College of Engineering, Ahmedabad, India
B.E. (Information Technology) – Shantilal Shah Engineering College, Bhavnagar, India
Post-Doctoral Research Fellow School of Medicine, Emory University, Atlanta, Georgia, USA
Artificial Intelligence and Machine Learning
Deep Learning and Computer Vision
Medical Imaging and Biomedical Artificial Intelligence
Digital Pathology and Whole Slide Image (WSI) Analysis
AI for Neuropathology and Alzheimer’s Disease
Generative AI, Large Language Models (LLMs) and Vision-Language Models (VLMs)
Retrieval-Augmented Generation (RAG) and Knowledge-Based AI
High-Performance Computing (HPC) and GPU-Accelerated AI
Biomedical Informatics and Bioinformatics
Natural Language Processing and Document Intelligence
Data Science and Intelligent Analytics
Cloud Computing and Distributed AI
AI for Scientific and Engineering Applications
Intelligent Systems and Decision Support
P. K. Pal, B. Kataria, and J. Jangid, “Schematic-aware PCB inspection using computer vision and deep learning for trace, solder, and net-level fault detection,” IEEE Trans. Compon., Packag. Manuf. Technol., 2026.
N. B. Pokale, A. Shrivastav, K. K. Doke, B. Kataria, R. Shrivastav, and A. Shirkande, “Hybrid deep learning system combining radiological and clinical data for improved tuberculosis diagnosis,” Indian J. Tuberc., vol. 72, pp. S47–S54, 2025.
P. Prakash, B. Kataria, R. Vivek, A. S. Archana, C. P. Shilpa, and K. Vinit, “Automated detection of tuberculosis using deep learning algorithms on chest X-rays,” Front. Health Inform., vol. 13, no. 2, pp. 218–229, 2024.
B. Kataria and H. B. Jethva, “Decentralized security mechanisms for AI-driven wireless networks: Integrating blockchain and federated learning,” Int. J. Sci. Res. Sci. Eng. Technol., vol. 11, no. 5, pp. 342–352, 2024.
B. Kataria, H. B. Jethva, P. V. Shinde, S. S. Banait, F. Shaikh, and S. Ajani, “SLDEB: Design of a secure and lightweight dynamic encryption bio-inspired model for IoT networks,” Int. J. Safety Security Eng., vol. 13, no. 2, pp. 325–331, 2023.
Membership : Association for Computing Machinery (ACM)
Scientific Committee Member – Annual International Congress on Computer Science, Oxford, UK.
International Program Committee Member – AiMH 2026, International Conference on AI in Medicine and Healthcare, Spain.
Reviewer for Springer Nature, SPIE, IAES, and other international journals.
Reviewer/Session Contributor for international and national conferences in AI, Machine Learning, IoT, and Healthcare.
Member, Board of Studies (Computer Science), Kadi Sarva Vishwavidyalaya
Red Hat Certified System Administrator (RHCSA) – Red Hat
Practical Cloud Security : A Guide for Secure Design and Deployment, 2025.
Build Web-Based Data and Machine Learning Applications Using Streamlit with Python, 2024
Optical Character Recognition of Sanskrit Manuscripts Using Convolutional Neural Networks, Eliva Press, 2024.
Linux System Administration, 2021.
Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2021
