Munaga Hazarath Murali Krishna Prasad
JNTUK, University College of Engineering Kakinada, JNTUK, University college of Engineering Vijayanagaram, Jawaharlal Nehru Technological University, Hyderabad, University of Udine
About
Dr Munaga HM Krishna Prasad is currently Full Professor, Department of Computer Science and Engineering, University College of Engineering Kakinada (Autonomous), JNTUK, Andhra Pradesh. He did his B.E. from C.B.I.T, Osmania University, Hyderabad, M.Tech. and Ph.D. Computer Science and Engineering (in general) and (in specific data mining, Thesis Title: "Trajectory Clustering Algorithm: A Data Mining Solution to Industrial Problems – Critical Analysis and Evaluation") from JNTU, Hyderabad. Dr Munaga successfully completed a two year MIUR fellowship (Jan 2007 – Dec 08) at University of Udine, Udine, Italy. He has about 50+ research papers in various International Journals and Conferences, and attended many national and international conferences in India and abroad. He is a member of Association for Computing Machinery (ACM), ISTE and IAENG (Germany) is an active member of the board of reviewers in various International Journals and Conferences. His research interests include data mining, BigData Analytics and High Performance Computing. https://sites.google.com/site/munaga71/
Employment
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JNTUK, University college of Engineering Vijayanagaram Assoc Professor of CSE & Head2010 - 2013
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University of Udine MIUR Fellowship2007 - 2008
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JNTUK, University College of Engineering Kakinada Professor2003 - Present
Education
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Jawaharlal Nehru Technological University, Hyderabad Ph.D.,2004 - 2010
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Chaitanya Bharathi Institute of Technology, Osmania University B.,E.,1991 - 1994
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- Data-Driven Decisions: Empowering E-Commerce with RFM and Machine Learning-Based Customer Segmentation Save
- An Improved Parallel Heterogeneous Long Short-Term Memory Model with Bayesian Optimization for Time Series Prediction Save
- A Comparative Study on Network Intrusion Detection System Using Deep Learning Algorithms and Enhancement of Deep Learning Models Using Generative Adversarial Network (GAN) Save
- Automated Short Answer Grading Using Deep Learning: A Survey Save
- Text2PyCode: Machine Translation of Natural Language Intent to Python Source Code Save
- Access the cluster tendency by visual methods for robust speech clustering Save
- Community detection in large-scale social networks: A survey Save
- Efficient image retrievals using generalised Gaussian mixture model Save
- Mining overlapping communities in real-world networks based on extended modularity gain Save
- Mining community-based top-k experts and learners in online question answering systems Save