Brief Research Profile
Dr. Priyanka Harjule is a faculty member in the Department of Mathematics at Malaviya National Institute of Technology (MNIT) Jaipur. Her research lies at the intersection of Applied Mathematics, Machine Learning, Optimization and Fractional Calculus. She has authored over 30 research publications in reputed journals and international conferences. Her recent work includes fractional optimizers for deep neural networks and fractional-derivative filters for texture enhancement in medical imaging. Before MNIT she was Assistant Professor at IIIT Kota, where she founded and coordinated the e-Learning and Data Analytics Lab (e-LDA). She has led several government-sponsored research projects with a strong emphasis on interdisciplinary applications in engineering and healthcare.
Qualifications
- Ph.D. (Applied Mathematics), MNIT Jaipur (2017)
- M.Sc. (Mathematics), Bangalore University (2012)
- B.Sc. (PCM), Bangalore University (2010)
Research Interests
Fractional Calculus · Artificial Intelligence · Machine Learning · Deep Learning · Medical Image Processing · Computational Statistics · Mathematical Modelling
Professional Background
- Assistant Professor, MNIT Jaipur (Jul 2021 – Present)
- Assistant Professor, IIIT Kota (May 2019 – Jul 2021)
Teaching
Advanced Engineering Mathematics, Computational Statistics for Data Science, Engineering Mathematics I & II, Fractional Differential Equations, Multivariable Calculus, Operations Research
Journal Publications
Conference Publications
Research Projects
| Title | Outlay (₹ Lakh) | Year | Funding Agency |
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Patents
Awards & Honours
- Teaching Excellence Award — Central University of Rajasthan (2023)
- Appreciation certificate, Women in Science — DST, Government of Rajasthan (2022)
- Merit scholarship for B.Sc. Mathematics — Education Scholarship Scheme for Army Personnel (2010)
Administrative Responsibilities
- Member, Continuing and Digital Education Centre (CDEC), MNIT (2022 – present)
- Member, NIRF Core Committee, MNIT (2022 – present)
- Faculty Placement Coordinator, MNIT (2022 – 2024)
- Member, Institute Newsletter editorial team; Rajbhasha committee (till 2024)
- Coordinator, Centre for e-Learning, MNIT (2021 – 2022)