Mrutyunjaya Panda

About

Dr. Mrutyunjaya Panda holds a Ph.D degree in Computer Science from Berhampur University. He obtained his Master in Engineering from Sambalpur University, MBA in HRM from IGNOU, New Delhi, Bachelor in Engineering from Utkal University in 2002, 2009, 1997 respectively. He is having more than 24 years of teaching and research experience. He is presently working as an Associate Professor in P.G. Department of Computer Science and Applications, Utkal University, Bhubaneswar, Odisha, India. He is a member of MIR Labs (USA), KES (Australia), IAENG ( Hong Kong), ACEEE(I), IETE(I), CSI(I), ISTE(I). He has published more than 100 research articles in indexed International and national journals and conferences. He has also published 15 book chapters, 02 text books and 07 edited books to his credit. He is a program committee member of various international conferences. He is acting as a reviewer of various international journals and conferences of repute. He was an Associate Editor of IJCINI Journal, IGI Global, USA and an Editorial board member of IJKESDP Journal of Inderscience, UK. He also edited one Special issue in International Journal of Computational Intelligence Studies (IJCIStudies), Inderscience, UK. His active area of research includes Data Mining, Image processing, Intrusion detection and prevention. Social networking, Mobile Communication, wireless sensor networks, Natural language processing, Internet of Things, Text Mining, Explanable AI to name a few.

Employment

• Utkal University Reader
  2014 - Present
• Gandhi Institute For Technological and Advancement Professor
  1997 - 2014

Education

• Berhampur University Ph.D
  2007 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (35)

• Investigating the potential of Quantum Inspired Machine Learning approaches for mental health detection of young adults
  ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA 2026 DOI: 10.5935/jetia.v12i58.3322
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• Change Detection of Chandaka Forest and Analysis of Remote Sensing Data Using Machine Learning and Geographic Information System
  ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA 2026 DOI: 10.5935/jetia.v12i59.3745
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• Apache Spark based distributed clustering for big data analytic with application to 3D road network
  Indonesian Journal of Electrical Engineering and Computer Science 2025 DOI: 10.11591/ijeecs.v37.i1.pp335-346
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• Advanced Techniques in Fuzzy Matching for Record Linkage and Clustering: Comparative Analysis and Practical Implications
  2025 DOI: 10.1007/978-981-96-4071-3_26
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• Sports Prediction for Cricket Match Using Grid Search and Extreme Gradient Boosting Classifier
  2025 DOI: 10.1007/978-981-97-8160-7_13
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• Enhancing the Power of CNN Using Data Augmentation Techniques for Odia Handwritten Character Recognition
  Advances in Multimedia 2022 DOI: 10.1155/2022/6180701
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• An Education Process Mining Framework: Unveiling Meaningful Information for Understanding Students’ Learning Behavior and Improving Teaching Quality
  Information 2022 DOI: 10.3390/info13010029
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• Application of Efficient Feature Selection and Machine Learning Algorithms in Mental Health Disorder Identification
  2022 DOI: 10.1007/978-3-031-23233-6_26
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• Applications of Feature Engineering Techniques for Text Data
  Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science 2021 DOI: 10.4018/978-1-7998-6659-6.ch010
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• Efficient Software Reliability Prediction With Evolutionary Virtual Data Position Exploration
  Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science 2021 DOI: 10.4018/978-1-7998-6659-6.ch016
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