Prof. S NAGAKISHORE BHAVANAM
Also known as: Nagakishore
Mangalayatan University, Acharya Nagarjuna University, JNTU Anantapur
About
Prof. Dr. S Nagakishore Bhavanam having 16 years of Experience in Teaching and Research. In which 11.6 Years of Administrative experience as Registrar, Mangalayatan University, Jabalpur, MP, Assistant Director, IQAC, Acharya Nagarjuna University (ANU), Coordinator, Rankings, ANU, Head of the Department, ECE, University College of Engineering & Technology, ANU and many more positions at Acharya Nagarjuna University, Andhra Pradesh. So far Published 185 research & review articles, 25 Patents are Published and 2 Innovation and 9 Design Patent grants were secured from National & International (UK & Canada) Level. Contributed 11 Text Books, 18 Book chapters in Electronics and Computer Science Engineering field and received 12 awards. Seven (07) doctorate degrees are awarded under my supervision. During my administrative experience more than 60 State level, National, International level Seminars/ Conferences/Workshops are organized. More than 150 ranks received by ANU and 35 ranks received by Mangalayatan University, Jabalpur under my supervision. Delivered more than 65 lectures as resource person/speaker at reputed organizations, Universities and institutions. I am the Potential reviewer for various Elsevier Journals and IEEE Transactions on VLSI Journal.
Employment
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Mangalayatan University Professor & Registrar2023 - Present
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Acharya Nagarjuna University Associate Professor2012 - 2023
Education
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JNTU Anantapur Ph.D2012 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (101)
- Gamification Learning for Urban Educational Challenges Save
- Integrating AI Models With Synthetic Biology for Plant Epigenetic Regulation Save
- Smart Learning and Smart Schools Save
- Stacked U-Net with Time–Frequency Attention and Deep Connection Net for Single Channel Speech Enhancement Save
- Synergistic News Aggregation Paradigm Utilizing Autonomous Web Extraction and Computational Intelligence Save
- A Synergistic Mobile Informatics Framework for Proactive Chronic Disease Prognostication and Therapeutic Optimization Save
- A Novel Real-Time Adaptive Learning Network Using Dynamic Feedback Mechanisms for Enhanced Performance in Time-Sensitive Applications Save
- A Synergistic Mobile Informatics Framework for Proactive Chronic Disease Prognostication and Therapeutic Optimization Save
- A hybrid Convolutional Neural Network and Genetic Algorithm approach for cardiovascular disease prediction Save
- Adaptive attention mechanism for single channel speech enhancement Save