Jaspal Kaur Saini
Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Punjab Engineering College
About
Dr. Jaspal Kaur Saini is Assistant Professor in Department of Information Technology and Sports and Healthcare Research Centre at NIT Jalandhar. She holds Ph.D. from Punjab Engineering College, M.Tech. (CSE, Gold Medalist) from NIT Jalandhar, B.Tech. (CSE -Hons.) from UIET, Kurukshetra University. She has international experience of working at Data Management and Analytics Lab, NTU Singapore (2017). She has received prestigious award from UNESCO-ICTP to travel and attend advanced Machine Learning Summer School held at ICTP, Italy for two times for 15 days in 2025 and 2024. Her expertise includes Data Mining, Machine Learning, Deep Learning, Smart Agriculture, Information Security, Data Science, and Big Data Analytics. Her research majorly focuses on applications of Computational Analytics to mine and extract intelligence from Terrorist Networks, Smart Agriculture, Health care Analytics, Development of AI assisted Applications. She enjoys generating new ideas and devising feasible solutions to apply AI/ML/DL in day to day life.
Employment
-
Dr. B. R. Ambedkar National Institute of Technology Jalandhar ASSISTANT PROFESSOR2023 - Present
Education
-
Punjab Engineering College PHD2015 - 2021
-
Dr. B. R. Ambedkar National Institute of Technology Jalandhar MTECH2011 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (10)
- LSTM based deep learning approach to detect online violent activities over dark web Save
- DeepThink IoT: The Strength of Deep Learning in Internet of Things Save
- Computational techniques to counter terrorism: a systematic survey Save
- The Significance of IoT and Deep Learning in Activity Recognition Save
- A Systematic Study of Nature Inspired Algorithms Save
- Big Data in Healthcare: A Review Save
- FILM.LrTL: FusIng MuLtiFocus IMages using Low-rank Transform Learning Save
- Detecting online recruitment of terrorists: towards smarter solutions to counter terrorism Save
- A Comparative Study and Automated Detection of Illegal Weapon Procurement over Dark Web Save
- Detecting Radical Text over Online Media using Deep Learning Save