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Jasraj Meena

Jasraj Meena
Jasraj Meena
Associate Professor
Centre/School/Special Centre
School of Computer & Systems Sciences
Room No
216
Off. Phone
011-26704779
Residence
91-7415289320
Email
jasrajmeena@mail.jnu.ac.in, jasrajmeena@jnu.ac.in
Personal Webpage
https://jnu.ac.in
Qualifications
  • B. Tech. in Information Technology (with Hons.) from R.T.U. Kota, India.
  • M. TECH. in Computer Engineering (Thesis with Distinction) from National Institute of Technology (NIT) Kurukshetra, India.
  • PhD in Computer Science and Engineering from National Institute of Technology (NIT) Raipur, India.
Areas of Interest/Specialization
  • Parallel and Distributed Computing, Cloud Computing, Edge Computing, Internet of Things (IoT), IoT with Machine Learning, Federated Learning, Security in Cloud, Edge and IoT.
Experience

12 Years (Teaching)

  • Associate Professor, School of Computer & Systems Sciences, JNU, New Delhi from June 2023 till date.
  • Assistant Professor, Department of Information Technology, Delhi Technological University (Formerly Delhi College of Engineering) from November 2016, to June 2023.
  • Assistant Professor, Department of Computer Science and Engineering at the National Institute of Technology (NIT) Raipur from May 2013 to October 2016.
  • Assistant Professor, Department of Computer Science and Applications, GLA University Mathura from July 2012 to May 2013.
Awards & Honours

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International Collaboration/Consultancy

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Best Peer Reviewed Publications
  1. M., Narula, J., Meena, D., K., Vishwakarma, “A comprehensive review on Federated Learning for Data-Sensitive Application: Open issues & challenges”, Engineering Applications of Artificial Intelligence, Elsevier, Volume 133, Part B,2024, 108128. Impact Factor: 7.5
  2. M. Srivastava, J., Meena, “Plant leaf disease detection and classification using modified transfer learning models”, Multimedia Tools Appl , Springer (2023),. https://doi.org/10.1007/s11042-023-16929-y, Impact Factor: 3.0
  3. J. Meena, and M. Vardhan, “Cost-effective Heuristic Workflow Scheduling Algorithm in Cloud Under Deadline Constraint” Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), Volume 13, Number 6, 2020, pp. 1302-1317(16) DOI: https://doi.org/10.2174/2213275912666190822113039
  4. M. Kumar, J. Meena, and M. Vardhan, “Privacy Preserving, Verifiable and Efficient Outsourcing Algorithm for Regression Analysis to a Malicious Cloud,” Journal of Intelligent and Fuzzy System, IoS Press, 2017. Impact Factor: 1.7
  5. M. Kumar, J. Meena, and M. Vardhan, “Privacy Preserving, Verifiable and Efficient Outsourcing Algorithm for Matrix Multiplication to a Malicious Cloud Server,” Cogent Engineering Journal- Taylor & Francis, 2017. DOI: 10.1080/23311916.2017.1295783, Impact Factor: 2.0
Recent Peer Reviewed Journals/Books
  1. Siddharth, S., Chaudhary, S., Meena, J. (2021) “URL Scanner Using Optical Character Recognition”. In: Hassanien, A.E., Bhattacharyya, S., Chakrabati, S., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1300. Springer, Singapore
  2. Jain, S., Meena, J. (2019) “Workflow Scheduling Algorithms in Cloud Computing: An Analysis, Analogy, and Provocations”. In: Saini, H., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 74. Springer
Patents (if any)

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