Rakesh Kumar

About

Dr. Rakesh Kumar received his B. Tech. in Computer Science & Engg. from Punjab Technical University, Jalandhar, India, M. Tech. in Information Technology from Guru Gobind Singh Indraprastha University, New Delhia, India and Ph.D in Computer Engineering from N.I.T. Kurukshetra, India in 2004, 2008 and 2015 respectively. He started his career from NIT, Kurukshetra where he worked as lecturer. At present, he is working as an Professor and Head in the department of Computer Science and Engineering at Central University of Haryana. He has 19 years of teaching experience. He has number of International / National conference/journal publications to his credit. He is also a reviewer of many international journals/ conferences. He has organized many Short Term Courses and Conferences/ Workshops. He is an active member of many professional bodies. He has guiding/guided many PhD and M. Tech. candidates. His key area of interest includes MANET, S/W Testing, Data Analysis, Cloud Computing

Employment

• Central University of Haryana Professor and HOD
  2023 - Present
• Central University of Haryana Associate Professor and Head
  2020 - 2023
• National Institute of Technical Teachers Training and Research Assistant Professor
  2015 - 2020
• Maharishi Markandeshwar University, Mullana Assistant Professor
  2009 - 2015
• Geeta Institute of Management and Technology Sr. Lecturer
  2008 - 2009
• Sri Sukhmani Institute of Engineering and Technology Lecturer
  2006 - 2008
• National Institute of Technology Kurukshetra Lecturer
  2004 - 2006

Education

• Guru Gobind Singh Indraprastha University M.Tech(IT)
• National Institute of Technology Kurukshetra PhD
• Punjab Technical University B.Tech(CSE)
• Kurukshetra University MBA

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Modeling Sequential Behavior for Next-Item Recommendation in E-commerce
  2026 DOI: 10.1007/978-981-96-7753-5_27
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• Dual attention-based CNN-LSTM framework for session-based recommendations
  Evolving Systems 2025 DOI: 10.1007/s12530-025-09712-x
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• Energy Efficient Resource Sharing in Trustworthy Federated Cloud Environment: A Bayesian Game and Double Auction Based Approach
  IEEE Transactions on Services Computing 2025 DOI: 10.1109/TSC.2025.3629534
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• Deep learning approaches to address cold start and long tail challenges in recommendation systems: a systematic review
  Multimedia Tools and Applications 2024 DOI: 10.1007/s11042-024-20262-3
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• Comparative Analysis of Structural Characteristics of Social Networks and Their Relevance in Community Detection
  2024 DOI: 10.1007/978-3-031-48781-1_16
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• Scalable Profit Optimized Incentive Mechanism for Resources in Cloudlet Based Mobile Edge Computing Framework
  Wireless Personal Communications 2022 DOI: 10.1007/s11277-022-09546-9
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• Data dissemination approach using machine learning techniques for WBANs
  Concurrency and Computation: Practice and Experience 2022 DOI: 10.1002/cpe.6688
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• A survey on analysis and detection of Android ransomware
  Concurrency and Computation: Practice and Experience 2021 DOI: 10.1002/cpe.6272
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• A Mobile Cloud Computing Framework for Execution of Data as a Service Using Cloudlet
  Kuwait Journal of Science 2021
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• RansomDroid: Forensic analysis and detection of Android Ransomware using unsupervised machine learning technique
  Forensic Science International: Digital Investigation 2021 DOI: 10.1016/j.fsidi.2021.301168
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