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Dr. Jaspreet Singh

Dr. Jaspreet Singh

Associate Professor, Computer Science & Applications (CSA)

jaspreet.singh@sharda.ac.in

About

Dr. Jaspreet Singh is currently working as an Associate Professor with the Department of Computer Science & Applications, School of Engineering and Technology, Sharda University. He obtained his Ph.D and M.Tech from Guru Gobind Singh Indraprastha University, New Delhi and is UGC-NET and GATE qualified. Dr. Singh has a total of 21 years of experience, working in reputed Universities and colleges. Prior to joining Sharda University, he was working as HoD Computer Science & Engineering, G.D. Goenka University, Gurugram. Dr. Singh has published 8 research papers in top-notch high impact SCI/SCIE papers, about 30 research papers in Scopus/UGC Care and three authored/edited books. Dr. Singh has been invited as a Keynote Speaker/ Resource Person /Session Chair/ Editorial Member in many Conferences, FDPs and Journals. He has a rich experience of handling academic and administrative responsibilities like heading the department, Convening Secretary-Board of Studies, Head-Academic Alliance, Head -SRAC, Member DRC and new Curriculum Development, to name a few. 

 

Experience
  • 21 Years
Qualification
  • Ph.D
  • UGC-NET, GATE
  • M.Tech (IT)
Award & Recognition

  • Outstanding Research award 2022 by CIEMA for contribution in area of ML and Wireless Networks.
  • Outstanding Research Contribution Recognition for AY 2020-21 at GD Goenka University
  • Best Club Mentorship for representing Coders Club at GD Goenka University
  • Mentor award for International winning project at IRIS 2021
  • Mentored Award Winning team “STARTUP FORCE” in Smart India Hackathon, SIH-2020, org. by MHRD, Problem Statement SR272, Dept. of IT and Biotechnology, Karnataka

Research

  • 8 SCI, 30 Scopus/ UGC Care, 3 authored/edited books, 3 Patents (1 Granted, 2 Published)

List of Publications:

SCI/SCIE PUBLICATIONS

  • Singh, J. (2023). ResNext50 based convolution neural network-long short term memory model for plant disease classification. Multimedia Tools and Applications. (Coauthor Tanwar, S.) https://doi.org/10.1007/s11042-023-14851-x (SCIE Q1, IF=2.577)
  • Singh, J. (2023). Synthesis of Affective Expressions and Artificial Intelligence to discover Mental Distress in Online Community. International Journal of Mental Health and Addiction. (Coauthor Singh, A.) https://doi.org/10.1007/s11469-022-00966-z (SCIE Q1, IF=11.555)
  • Singh, J. (2022b). Performance enhancement of vision based fall detection using ensemble of machine learning model. Cluster Computing. https://doi.org/10.1007/s10586-022-03818-6 (Coauthor Rastogi, S.) (SCIE, IF=2.303)
  • Singh, J. (2022). Human fall detection and activity monitoring: A comparative analysis of vision-based methods for classification and detection techniques. Soft Computing. (Coauthor Rastogi, S.) https://doi.org/10.1007/s00500-021-06717-x (SCIE Q1 Journal, IF=3.732)
  • Singh, J. (Apr 2021). A systematic review on machine learning for fall detection system. Computational Intelligence, n/a(n/a). (Coauthor Rastogi, S.) https://doi.org/10.1111/coin.12441 (SCIE, IF=2.330).
  • Singh, J. (March 2021). Prediction of tensile behavior of FS welded AA7039 using machine learning. Materials Today Communications, 101933. https://doi.org/10.1016/j.mtcomm.2020.101933. (Coauthor Misra, J. P., Batra, U., & Kumar, Y.) (SCIE, IF=3.662)
  • Singh, J., & Rai, C. S. (March 2018). An efficient load balancing method for ad hoc networks. International Journal of Communication Systems, 31(5), e3503. https://doi.org/10.1002/dac.3503 Wiley (SCI Indexed, IF=2.047)

Singh, J., & Rai, C. S. (2016). An optimized prioritized load balancing approach to scalable routing (OPLBA). Wireless Networks, 22(1), 319–334. https://doi.org/10.1007/s11276-015-0963-7 (SCI Q2 Journal, IF=2.701)

  • SCOPUS INDEXED/ PUBLICATIONS

  • Singh, J. (2023). Predictive Modeling of Social Network Psychological Distress in Online Community by Employing a Blend of Different Features. Neuroquantology Journal, 20(17), pp. 1125-1138, Dec.2022. (Coauthor Singh, A.). DOI: 10.48047/NQ.2022.20.17.NQ880146
  • Singh, J. (2022). Hybrid Random-Grid Optimization Techniques for a Malaria Prediction Using Machine Learning Algorithms. Journal of Northeastern University, 25(04), 17. (Coauthor Adamu, Y.) dbdxxb.cn/wp-content/uploads/2022/12/Yusuf-Aliyu-Adamu.pdf
  • Adamu, Y. A., & Singh, J. (2022). Malaria prediction model using advanced ensemble machine learning techniques. Journal of Medical Pharmaceutical and Allied Sciences, NOVEMBER-DECEMBER 2021(VOLUME-10 ISSUE-6 NOVEMBER-DECEMBER 2021), Article VOLUME-10 ISSUE-6 NOVEMBER-DECEMBER 2021. (Coauthor Adamu, Y.) https://doi.org/10.22270/jmpas.2021.V10I6.1701
  • Rastogi, S., & Singh, J. (July 2022). A Comprehensive study of pose detection in human fall detection in Springer Conference IC4S, org. by Krishna Engineering College, Ghaziabad, July 3 2022, pp. 395-406.
  • Aliyu Y, Singh J. (2021). MALARIA PREDICTION MODEL USING MACHINE LEARNING ALGORITHMS. Turkish Journal of Computer and Mathematics Education. May 2021, 12(2), June 2021
  • Singh, J. (2021) RESNEXT BASED IMAGE CLASSIFICATION MODEL FOR PLANT DISEASE IDENTIFICATION. Journal of Huazhong University of Science and Technology 50, 4(8.), April 2021(Coauthor Tanwar, S.)
  •  Singh, J. (2020). Automated Disease detection and classification of plants using Image Processing Approaches: A Review. Proceedings of IC4S, Oct. 3-4 2020. (Scopus)
  • Singh, J.  (2020). Automation of Detection of Social Network Mental Disorders - A Review, Proceedings of ICCRDA-2020, organized by Suleyman Demirel University and Isparta Applied Sciences University, Turkey, 24 Oct. 2020. (Scopus)
  • Singh, J. (2020). Comparative study of various Intrusion Detection Techniques for Android Malwares, Proceedings of IC4S, org. by Krishna Engineering College, Oct. 3-4 2020. (Scopus)
  • Singh, J. (2020). Statistical Belief Model to Analyze Outcome Using Bayesian Networks, Proceedings of REDSET, pp.258-265, ISBN: 978-981-15-5830-6, May 2020. (Scopus)
  • Singh, J. (2018). A solution to skewed load distribution problem in shortest path methods, Proceedings of IEEE 3ICT 2018, University of Bahrain, Bahrain, ISBN: 978-1-5386-9207-3, Oct 2019, pp- 1-6. ISBN: 978-1-5386-9207-3 (Scopus)
  • Singh, J. (2014). Measuring the Effectiveness of Multi Path Routing as a function of Increased Path Availability. Proceedings of IEEE ICRITO 2014, ISBN: 978-1-4799-6895-4 (Scopus Indexed).

UGC-CARE/Others

  • Singh, J. (2017). A Comparative analysis of mobile ad hoc network protocols. IJSRD Journal, Vol 5(8), Oct 2017, pp. 686-689.
  • Singh, J. (2015). An efficient and Scalable approach to build a Robust Network using MANETs, International Journal of Engineering, Business and Enterprises Applications, Issue 13 Vol. 1, 2015, ISSN: 2279-0039, pp. 13-17.
  • Singh, J. (2016). A Review of current Routing Solutions for ad hoc Networks, IJETCAS, Issue 17 Volume 1, 2016. ISSN: 2279-0055, pp. 60-64
  • Singh, J. (2014). Reactive Routing in MANETs: A Performance Evaluation. American International Journal of Research in Science, Technology, Engineering & Mathematics, 6(3), March-May, 2014, pp. 253-257, ISSN: 2328-3580
  • Singh, J. (2013). Building Efficient and scalable Networks using Mobile Ad Hoc Networks. Global R&D Summit-2013, DST, 25 July, 2013.
  • Singh, J. (2009). Monitoring QoS in Ad Hoc Networks. International Conference on Innovative Technologies (ICIT-09). IEEE-IMS/ EMBS, held on June18-19 2009.
  • Singh, J. (2008). WiMAX – A Solution for the Educational Sector: An in-depth study for practical implementation in educational and allied institutions. Proceedings of IndiaCom 2008.
  • Singh, J. (2007). Learning Management System. International Conference : Digital Learning 2007, organized by CSDMS and MeITy.
  • Singh, J. (2006). WiMAX – A Wireless Network Solution for Industry. Proceedings of National Conference organized by Saurashtra University.

BOOKS/ CHAPTERS PUBLISHED/EDITED

  • Singh, J., & Mahapatra, C. (2016). Advanced Computer Networks. Alphaa Publications, Aug 2016., ISBN: 978-93-83992-21-8.
  • Singh, J. (2021). Cognitive Computing Systems: Applications and Technological Advancements. Apple Academic Press (US), May 2021, ISBN: 978-1-77188-931-5
  • Book Chapter titled “Understanding the Software Testing Standards”, in Nayyar, A. (2019). Instant Approach to Software Testing: Principles, Applications, Techniques, and Practices. BPB publishers, ISBN: 9789388511162, October 2019, pp. 327-350.
  • Singh, J. (2016). Theory of Computation (Solution Bank). Bhavya Publications, June 2015.

Certifications

  • Microsoft Azure
  • Innovative Interdisciplinary Teaching-Learning & Outcome Based Education
  • Neural Network
  • Deep Learning