Mrs. Neetu Chauhan

Assistant Professor

neetu chauhan

Interest Area(s)

  • Computer Science
  • Machine Learning
  • Mobile Application Development
  • Mobile Application Development
  • Data Structure and Algorithms
  • Python
  • DBMS

Neetu Chauhan is a dynamic educator and diligent researcher currently pursuing a Ph.D. at K.R. Mangalam University. With a solid academic foundation comprising a B.Tech. from Kurukshetra University, an M.Tech. from Banasthali Vidyapith, and a B.Ed. from CRSU, Jind, she exemplifies a commitment to lifelong learning. Neetu’s teaching journey includes roles as a PGT and TGT Computer Science teacher at prestigious institutions such as The Vivekananda School and Laburnum Public School. Her passion for computer science education is evident in her accomplishments, including qualifying the NTA NET Computer Science exam in 2022, clearing the HTET exam twice (2016 & 2022), and presenting at an IEEE conference. Neetu’s dedication to both her students and her own academic pursuits underscores her as a dynamic force in the field, poised to make significant contributions to education and research.

  • Ph.D Pursuing- K.R. Mangalam University (2023-2026)
  • B.Ed- CRSU, Jind (2016-2018)
  • M.Tech- Banasthali Vidyapith (2013-2015)
  • B.Tech- Kurukshetra University (2008-2012)
  • XII- CBSE (2007-2008)
  • X- CBSE (2005-2006)
  • Teaching Associate- K.R. Mangalam University (2023-Present)
  • PGT Computer Science- The Vivekananda School (Mar,2023 – Oct, 2023)
  • PGT Computer Science- Laburnum Public School (Mar, 2021- Mar, 2023)
  • TGT Computer Science- Delhi World Public School (Aug,2019- Jan, 2020)
  • TGT Computer Science- Laburnum Public School (Mar, 2016- May, 2018)
  • V. D. Katkar, R. Mandal, and U. Biswas, “Enhancing Biometric Authentication Privacy and Security: A Synergistic Approach Using Cancelable Biometrics and Federated Learning,” Engineering Applications of Artificial Intelligence, [SCOPUS, SCI IF: 8.0] – Communicated.
  • M.K. Mondal, R. Mandal, S. Banerjee, et al., “Design and Development of a Fog-Assisted Elephant Corridor over a Railway Track,” Sustainability, vol. 15, no. 7, p. 5944, 2023, [SCOPUS, SCIE IF: 3.9], ISSN:2071-1050. DOI: 10.3390/su15075944.
  • R.Mandal, M. K. Mondal, S. Banerjee, et al., “MECpVms: An SLA aware energy-efficient virtual machine selection policy for green cloud computing,” Cluster Computing, vol. 26, no. 1, pp. 651–665, 2022, [SCOPUS, SCIE IF: 4.4], ISSN: 1573-7543/1386-7857. DOI: 10.1007/s10586-022-03684-2.
  • M.K. Mondal, R. Mandal, S. Banerjee, U. Biswas, P. Chatterjee, and W. Alnumay, “A CPS based social distancing measuring model using Edge and Fog computing,” Computer Communications, vol. 194, pp. 378–386, 2022, [SCOPUS, SCIE IF: 6], ISSN: 1873-703X/0140-3664. DOI: 10.1016/j.comcom.2022.07.029.
  • R. Mandal, M. K. Mondal, S. Banerjee, and U. Biswas, “An approach toward design and development of an energy-aware vm selection policy with improved sla violation in the domain of green cloud computing,” The Journal of Supercomputing, vol. 76, pp. 7374–7393, 2020, [SCOPUS, SCI IF: 3.3], ISSN: 1573-0484/0920-8542. DOI: 10.1007/s11227-020-03165-6.6 S.
  • Banerjee, R. Mandal, and U. Biswas, “An approach towards amelioration of an efficient vm allocation policy in cloud computing domain,” Wireless Personal Communications, vol. 98, pp. 1799–1820, 2018, [SCPUS, SCIE IF: 2.2], ISSN: 1572-834X/0929-6212. DOI: 10.1007/s11277-017-4946-0.
  • Paper entitled “Performance Analysis of Dimension Reduction Techniques with Classifier Combination for Intrusion Detection System” published by IEEE in 2015 (2nd International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2015, pp. 1084-1089)
  • Paper entitled “A Comparative Analysis for Short and Long-Term Time Series for Energy Consumption Predictions” will be presented in IEEE at PIET (2024 International Conference on Computational Intelligence and Computing Applications (ICCICA) 23rd May to 24th May 2024)

1st International Conference on Emerging Trends in STEM & Health Agri Sciences for Sustainable Development (11th & 12th March, 2024) at MIET Kumaon, Haldwani

  • NTA NET Qualified (Computer Science and Applications, December,2022)
  • CTET Qualified Teacher (December, 2019)
  • HTET Qualified Teacher (Level III PGT Computer 2016 & 2022)
  • Google Certified BIA (Be Internet Awesome Educator)
  • Selected as Assistant Supervisor in BSF and SOF Olympiad Exams in school campus