Academic Information
M.Tech from NIT, Jalandhar
PhD from BITS, PILANI
GATE Qualified in 2013, 2014, 2017
Research Areas
Research Interests
My research focuses on designing robust biometric verification systems, intelligent healthcare solutions, and AI-enabled secure authentication frameworks that improve accuracy, privacy, and reliability while addressing emerging challenges in smart and connected environments.
Courses Taught
Positions Held
Department of Computer Applications,
UEM, Jaipur
Publications
Articles in Journals
1. Poonia P., and Ajmera P. K., “Upgrading Information Security and Protection for Palm
Print Templates,” Wireless Personal Communications, pp. 1-17, 2022. DOI: 10.1007/s11277-022-09805-9
2. Poonia P., and Ajmera P. K., “Robust palm-print recognition using multi-resolution texture
patterns with artificial neural network,” Wireless Personal Communications, vol. 133, pp.
1305-1323, 2023. DOI: 10.1007/s11277-023-10819-0
3. Poonia P., and Ajmera P. K., “Multi-view feature learning based on texture description for
palm-print recognition,” Wireless Personal Communications, vol. 132, pp. 2507–2525,
2023. DOI: 10.1007/s11277-023-10729-1
4. Poonia P., and Ajmera P. K., “Palm-print recognition based on quality estimation and
feature dimension,” International Journal of Computational Science and Engineering, vol.
25, no. 2, pp. 116-127, 2022. DOI: 10.1504/IJCSE.2022.122204
5. Poonia P., and Ajmera P. K., “Adaptive Linear Gabor Response Pattern for Palm-print
Recognition,” Trends in Opto-Electro & Optical Communication (TOEOC), vol. 12, no. 2
2022.
6. Poonia P., Saini B. S., Kaur T., “An Improved Power Line Interference Reduction
Approach Based on Combination of Mirror Extension and IIR Filtering Through a Data
Driven Mechanism,” Current Trends in Signal Processing, vol. 7, no. 2, pp. 2017.
DOI: https://doi.org/10.37591/ctsp.v7i2.1548
Conference Publications
1. Poonia P., Ajmera P. K., and Bhalerao A., “Palm-print recognition based on scale invariant
features,” 2019 IEEE 16th India Council International Conference (INDICON), Rajkot,
India, IEEE, 2019. DOI: 10.1109/INDICON47234.2019.9029088
2. Poonia P., Ajmera P. K., and Shende V., “Palmprint recognition using robust template
matching,” Procedia Computer Science, vol. 167, pp. 727-736, Gurgaon, Elsevier, 2020.
DOI: 10.1016/j.procs.2020.03.338
3. Poonia P., and Ajmera P. K., “Palm-print identification based on deep residual networks,”
2021 Fourth International Conference on Computational Intelligence and Communication
Technologies (CCICT), pp. 60-63, Sonepat, India, IEEE, 2021.
4. Poonia P., Deshmukh O. G., and Ajmera P. K., “Adaptive Quality Enhancement
Fingerprint Analysis,” 3rd International Conference on Emerging Technologies in
Computer Engineering: Machine Learning and Internet of Things (ICETCE), pp. 149-153,
Jaipur, India, IEEE, 2020. DOI: 10.1109/ICETCE48199.2020.9091760
5. Poonia P., and Ajmera P. K., “Palm-print recognition based on image quality and texture
features with neural network,” 2021 Sixth International Conference on Image Information
Processing (ICIIP), Shimla, India, IEEE, 2021.
6. C. Kalaneya, G. Ganguly, P. Poonia, K. Sharma and R. Kumawat, "Multimodal Deep Learning for Image Captioning with Cultural Bias Mitigation," 2026 9th International Conference on Electronics, Materials Engineering & Nanotechnology (IEMENTech), Kolkata, India, 2026, pp. 1-5, doi: 10.1109/IEMENTech202669403.2026.11434407.
7. P. Poonia, "A Novel Deep Learning Framework for Enhanced Multispectral Palm-Print Recognition," 2025 13th International Conference on Intelligent Embedded, MicroElectronics, Communication and Optical Networks (IEMECON), Jaipur, India, 2025, pp. 1-4, doi: 10.1109/IEMECON69302.2025.11365618.
Book Chapter
1. Poonia P., Ajmera, P.K. (2023). Robust Multi-Spectral Palm-Print Recognition. In: Bansal,
H.O., Ajmera, P.K., Joshi, S., Bansal, R.C., Shekhar, C. (eds) Next Generation Systems
and Networks. BITS-EEE-CON 2022. Lecture Notes in Networks and Systems, vol 641.
Springer, Singapore. DOI: 10.1007/978-981-99-0483-9_25