Jaypee Institute of Information Technology, Noida
  • JIIT
  • JIIT
  • JIIT
  • JIIT
Assistant Professor (Grade II)
kirti.jain@mail.jiit.ac.in

Biography

Kirti Jain is working as an Assistant Professor at Computer Science and Engineering & Information Technology Department at Jaypee Institute of Information Technology, Noida. She received her M.Tech (Computer Science) from IIIT-Delhi. She is pursuing PhD (Computer Science) from Delhi Technological University (DTU). She possesses a work experience of around 7.5 years in academics and 1.5 years in industry. Her major areas of interest are Database Systems, Data Mining, Deep Learning. She has authored around 10 research papers for various national and international journals/conferences.

Educational Qualifications 

  • Pursuing Ph.D. (Computer Science and Engineering) from Delhi Technological University (DTU).
  • M.Tech (Computer Science & Engineering) from IIIT- Delhi in 2015.
  • B.Tech (Information Technology) in 2012.

Other Qualifications

  • UGC-NET (Lectureship) in 2014, 2018.
  • GATE (Computer Science & Information Technology) 2012, 2013, 2016, 2017, 2019.

Interest Area 

Database Management System, Software Engineering and Deep Learning.

Work Experience

Teaching Experience:

  • Presently working as an Assistant Professor (Grade II)in the Department of Computer Science & Information Technology at Jaypee Institute of Information Technology (JIIT), Sector 62, Noida, U.P. from 4th Jan 2023 to till date.
  • Worked as an Assistant Professor in the Department of Computer Science and Engineering at Inderprastha Engineering College (IPEC), Ghaziabad from 16th Jan 2016 to 19th Dec2022.

Industry Experience:

  • Worked as Software Engineer at Atlogys Technical Consulting from 18th May 2015 to 15th Jan 2016.
  • Worked as Software Engineer at Sopra India Pvt. Ltd. from 16th July 2012 to 29th July 2013.

Publications

Journals:

  • Kirti Jain, Rajni Jindal, “Sampling and noise filtering methods for recommender systems: A literature review”, Engineering Applications of Artificial Intelligence, Volume 122, March 2023, Q1, Impact Factor: 7.802 (SCIE Indexed). doi: doi.org/10.1016/j.engappai.2023.106129
  • Kirti Jain, Shelly Gupta, “A Pragmatic Analysis of Mobile and MOOCs Based Learning Methods”, Journal of Engineering Education Transformations, Volume 35, No. 4, April 2022, ISSN 2349-2473, eISSN 2394-1707.
  • Rajni Jindal, Kirti Jain, “A Review on Recommendation Systems Using Deep Learning”, International Journal of Scientific & Technology Research (IJSTR), ISSN: 2277-8616, Volume 8, Issue 10, October 2019.
  • Garima Jaiswal, Kirti Jain, “Fast ingest, Real Time Analytics on Incoming Data, Actions in Miliseconds: VOLT DB”, International Journal of Computer & Mathematical Sciences (IJCMS), ISSN: 2347 – 8527, Volume 6, Issue 7, July 2017.

Conferences:

  • Kirti Jain, Rajni Jindal, “A Survey on Hashtag Recommendations”, 27th IEEE Conference of the Open Innovations Association FRUCT, Italy, ISSN: 2305-7254, pp. 323-327, September 2020.
  • Kirti Jain, Ravi Kumar, Bharti Nagpal, “Classification and Comparison of Big Data Analytics”, International Conference on “Computing for Sustainable Global Development”, IEEE, ISSN No: 0973-7529, ISBN No: 978-93-80544-28-1, pp. 4962-4964, 2018.

Certification courses

  • “Fine Tune BERT for Text Classification with TensorFlow”, from Coursera, Feb 2023.
  • “Sentiment Analysis with Deep Learning using BERT”, from Coursera, Feb 2023.
  • “Programming for Everybody (Getting Started with Python)”from Coursera, with a consolidated score of 99.1%, July 2020.
  • “Introduction to Relational Database and SQL”from Coursera, with a consolidated score of 100%, July 2020.