Dr HARISH KUMAR SHAKYA
Manipal University Jaipur, Amity University, Indian Institute of Technology BHU, Shri Govindram Seksaria Institute of Technology and Science, Bapatla Engineering College
About
Presently Dr Harish Kr. Shakya is working in Manipal University Jaipur as Associate Professor in the Artificial Intelligence & Machine Learning Department from September 2023. Dr Shakya has Completed his Ph.D. in Computer science & Engineering Department from the Indian Institute of Technology (BHU) Varanasi in 2018.His research interests includes social network analysis, soft computing techniques & Evolutinory algorithms. He has around 10 years of teaching and research experience. He holds bachelor’s degree in information technology from RJIT BSF Academy Gwalior and Completed his M.E. in Computer Engineering from SGSITS Indore (M.P.) India. Dr Shakya is a member/Fellow of various repudiated professional organizations i.e. FIETE, AMIEI, SMIEEE, ACM, IAENG, ICSES, CSTA, SAISE, IACSIT, and many more.
Employment
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Manipal University Jaipur Associate Professor2023 - Present
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Amity University ASSISTANT PROFESSOR-II2019 - Present
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Bapatla Engineering College ASSISTANT PROFESSOR2018 - 2019
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DIT University ASSISTANT PROFESSOR2010 - 2011
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Nagaji Institute of Technology and Management LECTURER2008 - 2010
Education
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Indian Institute of Technology BHU PhD2011 - 2018
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Shri Govindram Seksaria Institute of Technology and Science ME2006 - 2008
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Rustamji Institute of Technology BE2000 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (31)
- BFRN-IoV: Blockchain and Fog-Enabled Route Navigation for Digital Twin-Based Internet of Vehicles Save
- Wavelet-Pix2pix Framework for CT Denoising and Super Resolution Save
- PPWCS: A Strategy for Enhancing Caching Performance in Content-Centric Networking-Enabled Consumer IoT Systems Save
- Big Data Meets Social Networks: A Survey of Analytical Strategies and Research Challenges Save
- Cache Invalidation-Based Optimization in Next Generation Wireless Network: Taxonomy, Review, and Future Directions Save
- An Elitism-based Novel Approach for Community Detection in Social Networks Save
- Energy-Proficient Cluster Enrichment in Wireless Sensor Networks via Categorized Fuzzy Clustering and Multi-Hop Routing Optimization Save
- Hybrid recommendation system for movies using artificial neural network Save
- SOM and Hybrid Filtering: Pioneering Next-Gen Movie Recommendations in the Entertainment Industry Save
- Nested Sentiment Analysis for ESG Impact: Leveraging FinBERT to Predict Market Dynamics Based on Eco-Friendly and Non-Eco-Friendly Product Perceptions with Explainable AI Save