JIIT

Academic Experts

Dr. Pallavi Jain

ASSISTANT PROFESSOR (SR GRADE)

pallavi.jain@mail.jiit.ac.in

Biography

Dr. Pallavi Jain, Faculty, Department of Computer Application, JIIT, Noida
Dr. Pallavi Jain (B.SC, DOEACC ‘O’ & ‘A’ Level, MCA, PhD,) is an Academician / Researcher, at DCA, Jaypee (JIIT), Noida. She is PhD in Computer Application and has a consolidation of 15 years academics experience. She believes in continuing her career with an organization that will utilize her skills to benefit mutual growth and success. She had organized and attended various seminars and faculty development programs. She was also awarded with best teacher award. Her contribution was remarkable in prestigious Accreditations like NAAC, NBA and others. She is having many publications in Scopus Indexed/SCI/High impact Journals and National & International Conferences and published 4 Indian Patents & 1 German Patent and guiding PhD scholars of various Universities. Her areas of interest: Image Processing, Computer Vision, Machine Learning, Artificial Intelligence etc.

Research Highlights

She is having many publications in Scopus Indexed/SCI/High impact Journals and National & International Conferences and published 4 Indian Patents & 1 German Patent and guiding PhD scholars of various Universities.

Areas Of Interest

AI/ML
Computer Vision
Cloud Computing
Computer Application

Publications

• Research paper published “Automated IRIS Flower Species Identification Using Machine Learning Techniques” in ICICC 2024 International Conference on Innovative Computing & Communications on March 25, 2025 (ELSEVIER SSRN)
• Book Chapter entitled “Digital Twin Types & Design” published in book “Digital Twin Technology & Applications” – Taylor & Francis Group in 2024.
• Research paper published entitled “Malaria and Pneumonia Disease Prediction Using Deep Learning” published in 2024 2nd International Conference on Disruptive Technologies (ICDT) (SCOPUS)
• Book Chapter published entitled “Data-Driven Artificial Intelligence (AI) Models in the Workforce Development Planning” published in book “Designing Workforce Management Systems for Industry 4.0” – Taylor & Francis Group in 2022.
• Research paper published entitled “Single Camera based Real Time Framework for Automated Fall Detection” published in 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA). (IEEE SCOPUS)