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Jagdeep Singh

Assistant Professor, Computer Science and Engineering (CSE)

jagdeep.singh@sharda.ac.in

About

Jagdeep Singh is working as an assistant professor in Department of Computer Science and Engineering, School of Engineering & Technology, Sharda University. He is pursuing a full-time Ph.D. from Division of Information Technology, Netaji  Subhas Institute of Technology (NSIT), University of Delhi. In 2016, he received his M.Tech degree in Computer Science and Engineering from Kamla Nehru Institute of Technology (KNIT), Sultanpur, India. In the past, he served as an assistant professor at the department of information technology, ABES Engineering College, Ghaziabad, India. His current research interests are in machine learning, artificial intelligence,  opportunistic networks, cloud computing, machine-to-machine communications, next-generation wireless networks, etc. He has presented papers in tier-1 international conferences(including IEEE ICC, IEEE GLOBECOM) and published research work in various international journals(including IJCS, IET Networks, JIT). Three journal articles are in the review process in top computer science SCI indexed journals.

Experience
  • 4 Years
Qualification
  • Ph.D. Pursuing from University of Delhi
Research

Journal Papers

  1.  Message Trust-based Secure Multipath Routing Protocol for Opportunistic Networks, Published: May 2020 in International Journal of Communication Systems, DOI: 10.1002/dac.4364, (I.F. 1.313; SCIE Indexed).
  2. Disjoint Multipath based Secure Routing in Opportunistic Networks, Published: November 2019 in Journal of Internet Technology, DOI: 10.3966/160792642019102006001, (I.F. 0.786; SCIE Indexed). 
  3. Energy Aware Routing for Efficient Green Communication in Opportunistic Networks, Published: July 2019 in IET Networks, DOI: 10.1049/iet-net.2018.5106, (ESCI Indexed).

Conference Papers

  1. Reinforcement Learning-Based Routing Protocol for Opportunistic Networks, Published: June 2020 in IEEE International Conference on Communications (ICC 2020) - a flagship conference of the IEEE Communications Society, Publisher: IEEE.
  2. Priority based Buffer Management Technique for Opportunistic Networks, Published: December 2019 in IEEE Global Communications Conference (GLOBECOM 2019) - a flagship conference of the IEEE Communications Society, Publisher: IEEE, DOI: 10.1109/GLOBECOM38437.2019.9013339
  3. Geometric Shapes based PSO approach for Routing in Vehicular Networks, Published: September 2019 in IEEE AFRICON 2019, Publisher: IEEE.
  4. Multi-Agent Reinforcement Learning Based Efficient Routing in Opportunistic Networks, Communicated: June 15, 2020 in IEEE India Council International Conference (INDICON 2020), Publisher: IEEE.
  5. Centrality Based Geocasting for Opportunistic Networks ,Published: March 2019 in International Conference on Advanced Information Networking and Applications (AINA - 2019), Publisher: Springer, DOI: 10.1007/978-3-030-15032-7_59
  6. Machine Learning-based RF Jamming Classification Techniques in Wireless Ad-hoc Networks, Published: May 2020 in International Conference on Wireless, Intelligent and Distributed Environment for Communication (WIDECOM 2020), Publisher: Springer, DOI: 10.1007/978-3-030-44372-6_9
  7. Fuzzy Geocasting in Opportunistic Networks, Published: November 2019 in International Conference on Broad-Band Wireless Computing, Communication and Applications, (BWCCA 2019), Publisher: Springer, DOI: 10.1007/978-3-030-33506-9_25
  8. A Reliable Firefly-Based Routing Protocol for Efficient Communication in Vehicular Ad Hoc Networks, Published: February 2019 in International Conference on Wireless Intelligent and Distributed Environment for Communication (WIDECOM 2019) Publisher: Springer,, DOI: 10.1007/978-3-030-11437-4_10
  9. PSARV: Particle Swarm Angular Routing in Vehicular Ad Hoc Networks, Published: February 2019 in International Conference on Wireless Intelligent and Distributed Environment for Communication (WIDECOM 2019), Publisher: Springer, DOI: 10.1007/978-3-030-11437-4_9
  10. Secure Geocasting For Opportunistic Networks, Published: February 2020 in National Conference on Recent Trends in Cyber Security (NCCS 2020) Sponsored by: University Grants Commission.

Book Chapters

  1. Book Chapter accepted for publication in the book entitled “Advances in delay-tolerant networks (DTNs): Architecture and enhanced performance," Second edition, Publisher: Elsevier Science, ISBN: 9780857098467, 2020.
  2. Book Chapter proposal communicated in the book entitled “Advances in Computing, Informatics, and Networking and Cyber security ", Publisher: Springer Nature, 2020.

Certifications

  1. Blockchain and FinTech: Basics, Applications, and Limitations, Issuing authority The University of Hong Kong, License Issued Jul 2020 - No Expiration Date, Credential Identifier: e63f1e16b5bc458f8d97bfa9e4b9cdcf
  2. PH125.3x: Data Science: Probability, Issuing authority HarvardX - An Online Learning Initiative by Harvard University through edX, License Issued: Jul 2020 - No Expiration Date, Credential Identifier: ad627d6552d34169ae9cc694e1059d54
  3. Programming for Everybody (Getting Started with Python), Issuing authority University of Michigan and offered through Coursera, License Issued: Jul 2020 - No Expiration Date, Credential Identifier: 6APCNWN7NF2K
  4. Python Data Structures, Issuing authority University of Michigan and offered through Coursera, License Issued: Jul 2020 - No Expiration Date, Credential Identifier: 2GZLCFN7LMUL
  5. Deep Learning with Tensorflow, Issuing authority IBM through edX, License Issued: Jun 2020 - No Expiration Date, Credential Identifier: 482bee9c2ce04b51bb0dadb06ffe96eb
  6. Neural Network from Scratch in TensorFlow, Issuing authority Coursera Course Certificates, License Issued: May 2020 - No Expiration Date, Credential Identifier: coursera.org/verify/4UUYB39E74A6
  7. Introduction to machine learning, Issuing authority NPTEL, License Issued: Oct 2019 - No Expiration Date
  8. CCNP (Routing and Switching), Issuing authority Network Bulls, License Issued: Jun 2017- No Expiration Date

Area of Interest

  • Artificial Intelligence
  • Deep Learning
  • Opportunistic Networks
  • Cloud Computing
  • Ad-hoc networks
  • Next-Generation Wireless Networks

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