RK

Rajeev Kumar

Jawaharlal Nehru University, Indian Institute of Technology Kharagpur, University of Sheffield, Birla Institute of Technology and Science

ORCID iD 0000-0003-0233-6563
Follow

About

Rajeev Kumar’s teaching and research activities span over four decades in the areas of machine learning, programming language systems, software engineering, multimedia and evolutionary computing. He is a Professor of Computer Science at Jawaharlal Nehru University (JNU) New Delhi. He has earlier served at the Indian Institute of Technology (IIT) Kharagpur / Kanpur and Birla Institute of Technology & Science (BITS) Pilani. Prior to his academic tenure, he worked as a Scientist in Dept. Science & Technology (DST) and Defense R & D Organization (DRDO) in India. He holds a doctoral degree in Computer Engineering from the University of Sheffield and a master's degree in Computer Science & Technology from the University of Roorkee (now, IIT Roorkee).

Employment

  • Jawaharlal Nehru University Professor
    2015 - Present
  • Indian Institute of Technology Kharagpur Professor
    2007 - 2015
  • Indian Institute of Technology Kharagpur Associate Professor
    2000 - 2007
  • Birla Institute of Technology and Science Professor
    2000 - 2000
  • Birla Institute of Technology and Science Associate Professor
    1997 - 2000
  • Defence Research and Development Organisation Scientist
    1986 - 1995
  • Department of Science and Technology, Ministry of Science and Technology Scientist
    1983 - 1986

Education

  • University of Sheffield Ph.D.

Projects & Funding

Projects & funding information is unavailable.

Publications (172)

  • Information theoretic steganalysis of processed image LSB steganography
    Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-022-13931-8
    +Save
  • TRANSFORMATION AND CLASSIFICATION OF ORDINAL SURVEY DATA
    Computer Science 2023 DOI: 10.7494/csci.2023.24.2.4871
    +Save
  • Entropy guided evolutionary search for solving Sudoku
    Progress in Artificial Intelligence 2023 DOI: 10.1007/s13748-023-00297-7
    +Save
  • Assessing Imbalanced Datasets in Binary Classifiers
    Soft Computing for Problem Solving: Proceedings of the SocProS 2022 2023
    +Save
  • Difference-Attribute-Based Clustering for Ordinal Survey Data
    Advanced IoT Sensors, Networks and Systems 2023 DOI: 10.1007/978-981-99-1312-1_2
    +Save
  • Entropy-Based Clustering for Subspace Pattern Discovery in Ordinal Survey Data
    Intelligent Data Engineering and Analytics: Proceedings of the 10th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2022) 2023
    +Save
  • Fake News Detection in Social Networks Using Attention Mechanism
    Proceedings of the International Conference on Cognitive and Intelligent Computing: ICCIC 2021, Volume 2 2023
    +Save
  • Hierarchical Learning of Outliers
    Advances in Cognitive Science and Communications: Selected Articles from the 5th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2022), Hyderabad, India 2023
    +Save
  • Imbalanced Learning of Regular Grammar for DFA Extraction from LSTM Architecture
    Soft Computing for Problem Solving: Proceedings of the SocProS 2022 2023
    +Save
  • Localized Community-Based Node Anomalies in Complex Networks
    Soft Computing for Problem Solving: Proceedings of the SocProS 2022 2023
    +Save