JBS Faculty

Name : Dr. Parnika Kansal
Qualifications : UGC Net~99 percentile, PhD in Artificial Intelligence for 5G Technology (IG Delhi Technical University, Delhi), M.Tech in Wireless Communication and 5G Technology(HBTU Kanpur), B.Tech (Amity University, Noida)
Work Experience : over 7 years
Research Interests : -
Read More +

Biography

Biography-

Parnika Kansal is a highly successful research professional having ethical and ground breaking research in the area Artificial Intelligence for 5G technology and spectrum sharing holding a PhD degree from IG Delhi Technical University, Delhi. Her research is on the topic of AI based Spectrum Sharing Techniques with Cognitive Radio for 5G systems. She has developed algorithms for Spectrum Sharing by using the latest Deep Learning and Machine Learning methodologies.

Dr. Parnika Kansal has been awarded three Research Excellence Awards by Hon’ble Governor of Delhi at IG Delhi Technical University. She has published research papers in reputed international SCI journals and a book chapter in SPRINGER USA. and exceptional people skills. Action oriented. Core competencies include AI Machine Learning, creative problem solving, result oriented, highly focussed & trainable, responsible, patient, always willing to go extra mile...Parnika Kansal holds a MTech from HBTU Kanpur (Over Century old premier Government university). She has been a University Topper.

She has also published a patent in the field of Computer Science on the topic “Deep Learning Based Intelligent Spectrum allocation for Health Data Transmission”.

She was awarded undergraduate degree by Institution of Engineering and Technology (IET). She has won Best Paper Awards in various International Conferences for her research work. She is a reviewer in IEEE, Taylor and Francis and Springer Journals. She was awarded for being a subject topper in CBSE Class XII board exams. Parnika Kansal holds memberships of prominent professional bodies- IEEE, Institution of Engineers (IEI), Institution of Electronics and Telecommunication Engineers (IETE), Indian Society for Technical Education (ISTE) and International Association of Engineers (IAENG).

She holds certifications from premier institutes- Stanford University, CISCO USA, Vanderbilt University USA, John Hopkins University USA, University of California, Santa Cruz, IIT Madras, IIT Kanpur and NITTTR Chandigarh. She has been a part of FDPs, Short Term Courses and Projects in person at IIT Kanpur, NITTTR Chandigarh, Galgotia College of Engineering and Technology, HBTI Kanpur and Delhi Technological University (DTU). She regularly participates in continued learning through conferences, short term courses, MOOCs and professional research.

List Of Publications

Journal Publications

  • P.Kansal, M Gangadharappa, Ashwni Kumar, “Long Boosted Memory Algorithm for Intelligent Spectrum Sensing in 5G and beyond Systems”, SCI and Scopus Index-Journal of Network and Systems Management, 30, 41 (2022).
  • Kansal, P., Gangadharappa, & Kumar, A. An Efficient Composite Two-Tier Threshold Cooperative Spectrum Sensing Technique for 5G Systems. (SCI and Scopus Journal- Arabian Journal for Science and Engineering (2021). https://doi.org/10.1007/s13369-021-05938-4
  • P.Kansal, A.Kumar and M Gangadharappa, “Spectrum Sensing Techniues for next generation wireless technologies”, Scopus Indexed- Telecommunications and Radio Engineering Journal,Begell House, USA,Vol. 79, No.13, pp.1149-1166.
  • P. Kansal, A.Kumar and M Gangadharappa “ Optimized Extreme Learning Machine for Intelligent Spectrum Sensing in 5G systems”, vol.66, No.3,pp.-322-332, SCI and Scopus Index-Journal of Communications Technology and Electronics, Springer Journal.
  • P.Kansal, M Gangadharappa, A.Kumar, “A novel Dual Threshold Weighted Feature Detection for Spectrum Sensing in 5G systems”, Scopus Index-Advances in Intelligent Systems and Computing Journal, Springer Journal, Scopus Indexed, August, 2021
  • P Kansal, N Thakur, A Chopra, “Impact of Artificial Intelligence on Apparel Industry Post Pandemic: Review Study of Amplified Intelligence in H & M”, Juni Khyat, UGC Care Group I journal, Vol 12, Issue-6, June 2022
  • Parnika Kansal, A.K. Shankhwar “Performance Analysis of FBMC-OQAMbased 5G Wireless System using PAPR” International Journal of Computer Applications, New York USA, vol. 161, pp.-15- 20, March 2017
  • Parnika Kansal, A.K. Shankhwar “FBMC vs OFDM waveform contenders for 5G Wireless System”, Wireless Engineering and Technology, SCIRP, China, Vol.8No.4, pp-59-72, Oct 2017
  • Published Patents

  • Deep Learning Based Intelligent Spectrum allocation for Health Data Transmission, August 2023 in Computer Science
  • International Conference presentations and papers

  • P. Kansal, “5G enabled Dual Threshold Cooperative Energy Sensing for Emergency Safety Communications” , IIT Mandi Scopus Index-ICCNT-2024 conference, June 2024.
  • P. Kansal, “Deep Learning based Spectrum predictions in Cognitive Healthcare System, IIT Delhi Scopus Index-ICCNT-2023 conference, July 2023.
  • Presented paper titled “Applied business Intelligence: A Market Basket analysis” in International Conference, 2022 on “A Paradigm Shift in Managerial Practices and Innovations: Leading through Technology
  • Paper titled “Cognitive Healthcare System: Deep Learning based Spectrum Predictions” in IIT Madras conference, January 2022.
  • P. Kansal, A. Kumar and M. Gangadharappa, "Cognitive Radio based Spectrum Sharing technique for 5G system," 2020 7th IEEE International Conference on Signal Processing and Integrated Networks (SPIN), Noida,India, 2020, pp. 332-337.
  • Parnika Kansal, M Gangadharappa , Ashwini Kumar “Spectrum Sensing Technologies for next generation wiresless technologies: A review”, ICSPVCE IEEE, Conference, DTU, March 2019
  • Presented Paper Titled “PAPR Analysis in FBMC/OQAM based 5G wireless system” in IEEE Conference in Computing Analytics & Networks held in Chitkara University, Himachal Pradesh, 2017
  • Presented Paper Titled “PAPR Analysis in FBMC/OQAM transmitter based 5G wireless system” in BITS PILANI International Conference, 2017.