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Lingaya's Vidyapeeth (Deemed-to-be University) u/s 3 of UGC Act 1956
Ms. Komal Malsa

Ms. Komal Malsa

Assistant Professor

Department of Computer Science & Engineering

Ms. Komal Malsa, a devoted educationist and an academician having a variety of significant insights into Engineering curriculum in terms of Academic, Research, over the past 12 years of teaching. She is currently posted as an Assistant Professor & serving as NAAC Coordinator, Computer Science & Engineering, at Lingaya’s Vidyapeeth, Faridabad.

Ms. Komal Malsa completed her M.Tech in Computer Science Engineering and pursuing Ph.D. in Computer Science, from Banasthali Vidyapeeth, Banasthali. Her Bachelor of Engineering in Computer Science Engineering is from Rajasthan University. She is expertise in teaching is Python, Data Science and Machine Learning. She has attended several Faculty Development Programs and workshops.

  1. Published paper titled “A methodology for Answer-Based Subjective Online Examination System: Online Examination Systems” in the Global Journal of Innovation and Emerging Technology (IET)[ISSN: 2583-4401], 1(2).
  2. Published paper titled “Accurate Rating System Using Blockchain” in the Advanced Communication and Intelligent Systems: First International Conference, ICACIS 2022, Virtual Event, October 20-21, 2022, Revised Selected Papers (pp. 492-504). Cham: Springer Nature Switzerland.
  3. Published paper titled “Calculating AQI using Secondary Pollutants for Smart Air Management System” in the Data Management, Analytics and Innovation: Proceedings of ICDMAI 2019, Volume 2 (pp. 131-140). Springer Singapore.national conference “ICDMAI2019” on 18-19 Jan. 2019.
  4. Presented paper titled “Security in Wireless Network: Issues and Challenges” in the National Conference “Cloud Computing-Driving New Initiatives for E-governance & Education” organized by CET-IILM-AHL, Greater Noida on 20th Sept 2013.
  1. Patent entitled “Machine Learning Based Chip Control Oxygen Concentrator with Filter” with application number 394751-001 (Granted)
  2. Patent entitled “Machine Learning Based Biomedical Image Analysis Device for Accurate Detection of Disease” with application number 397342-001 (Granted)
  • GATE Qualified

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