About
Dr.B.V.Subba Rao, presently working as Professor and Head of the Department of Information Technology branch in P.V.P Siddhartha Institute of Technology, Vijayawada, affiliated to Jawaharlal Nehru Technological University. He has a total of 20 years of rich experience comprising teaching, research and industry. He received his Ph.D degree in Computer Science and Engineering in the domain of Artificial Intelligence in the year 2011 and M.Tech degree with distinction in Computer Science and Engineering from Acharya Nagarjuna University in the year 2005. He received Gold Medal from Andhra University in his Post Graduate Studies. He delivered expert lectures for Infosys Campus Connect Program at Infosys Technologies, Mysore Campus. He has guided 51 post Graduated and 115 graduate projects. He has published 53 papers in International Journals and 8 papers in national Journals and presented 12 papers in National /International Conference Proceedings including SCI and Scopus Indexed. He has published 2 book chapters. He chaired a technical session in an International Conference SCI-2108 organized by Springer/CSI and ACM chapter.
He has an Academic participation in 41 International / National Seminars / workshops and Conferences. He is an editorial Board member to various National and International journals like IJ-CA-ETS, IJ-ETA-ETS, International Journal of Knowledge and Research in Computer Engineering, International Journal of Computer Science and Information Technology, International Journal of Advanced Research in Computer Science and also reviewer of these journals. He is a Life member of Computer Society of India (CSI) and Past Chairman of CSI Chapter Vijayawada, and a member of Institution of Engineers, Association for Computing Machinery (ACM), United State of America, Member of Institution of Engineers (India) and Indian Society for Technical Education (ISTE), New Delhi.
He is a recognized research supervisor at JNTUK, Kakinada, Rayalaseema University, Kurnool and at KL University, Guntur. He is currently guiding 2 Ph.D scholars in Computer Science and Engineering.
He received a grant of Rs 6 lakhs from DST, New Delhi for a project on Big Data Initiative and 1 lakh from Siddhartha Academy, Vijayawada for development of a CAF Mobile App to Idea Cellular ltd. He obtained two patents from Intellectual Property India, Govt. of India, New Delhi for his innovations on IoT based Drainage overflow Monitoring system and System for determining life span of individuals and a method for the same. Currently he is guiding 2 consulting software projects for the clients Ramesh cardiac hospitals, Vijayawada and Amaravathi food courts, Mangalagiri.
His current research interests are in the areas of Artificial Intelligence, Machine Learning, deep Learning, Swarm Intelligence, Soft Computing, Ambient Intelligence, Human conscious Intelligence, Natural Language Processing and Information Storage Retrieval systems.
Employment
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Pradad V Potluri Siddhartha Institute of Technology Professor
Education
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Pradad V Potluri Siddhartha Institute of Technology Ph.D2004 - Present
Projects & Funding
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DST BIG DATA INIATIVE DSTI Foundation of Gansu
Publications (15)
- Evaluating the Performance of Vascular Feature Extraction Boosting Algorithm for Peripheral Arterial Disease Detection Save
- Unicode-Powered Handwritten Telugu-to-English Character Recognition and Translation System using Deep Learning Save
- Sugarcane yield prediction using NOA-based swin transformer model in IoT smart agriculture Save
- Optimized CNN-based Brain Tumor Segmentation and Classification using Artificial Bee Colony and Thresholding Save
- A Secure Framework to Prevent Three-Tier Cloud Architecture From Malicious Malware Injection Attacks Save
- Machine learning enabled IOT based fire accident detection system Save
- Application of Mathematical Modeling in Prediction of COVID-19 Transmission Dynamics Save
- Classification of brain tumours using artificial neural networks Save
- Environment safe modeling of automatic helmet detection using svm techniques Save
- Breast cancer diagnosis using mlp back propagation Save