Mrs. Prajakta V. Ugale


Faculty Profile Overview

Department: Computer Engineering

Name: Mrs. Prajakta Vinay Ugale

Designation: Senior Assistant Professor

Qualifications

  • Ph.D. in Computer Engineering - Pursuing
  • M.E. in Computer Engineering
  • B.E. in Computer Engineering

Overview of Profile

A committed educator and computer science professional with strong conceptual expertise and a practical, application-oriented approach to teaching. Teaching practices integrate rigorous academic content, interactive lectures, programming assignments, and hands-on learning to develop students' critical thinking, problem-solving, and technical competencies.

Expertise encompasses Operating Systems, Database Management Systems, System Engineering, and Object-Oriented Programming, with emphasis on conceptual clarity, real-world application, active participation, and collaborative learning.

In addition to teaching, actively contributes to academic administration, examination management, accreditation, quality assurance, documentation, and institutional academic processes. Research interests and contributions are reflected through publications in national and international journals and conferences, along with active participation in research and professional development activities.

Regular involvement in workshops, seminars, faculty development programs, and academic initiatives supports continuous professional growth and knowledge sharing. The overall academic profile reflects a commitment to teaching excellence, research, continuous improvement, collaboration, and meaningful contribution to the academic community.

Research Interests

Not specified in the submitted profile.

Contact Details

Email: prajakta.ugale@mitaoe.ac.in

Contact Number: 020-30253500

Mobile Number: +91-9960257590

Experience

  • Teaching Experience: 20 Years
  • Industry Experience: Not specified
  • Research Experience: Not specified

Research Profiles


Awards and Achievements

  • Teacher of the Department Award – 2025–2026: In recognition of outstanding contribution to teaching, academic activities, and departmental development.

Research Publications

A. International Journals

  1. Ugale, P., Railkar, P. (2025). Content-based remote sensing image retrieval based on two-way feature representation using ResNet50 and modified multiscale local ternary pattern. Mathematical Modelling of Engineering Problems, Vol. 12, No. 9, pp. 2969–2980. https://doi.org/10.18280/mmep.120902
  2. Ugale, P., Railkar, P. (2025). Deep learning based remote sensing image annotation based on semantic and contextual information. Mathematical Modelling of Engineering Problems, Vol. 12, No. 10, pp. 3483–3492. https://doi.org/10.18280/mmep.121015
  3. S. Kale and P. Ugale, "EMOPLAY: Playlist recommendation system based on facial emotions," J. Curr. Res. Eng. Sci., vol. 7, no. 1, Paper 43, Jan. 2024, ISSN 2581-611X.
  4. M. Gawas, F. Mittal, A. Gupta, S. Paithankar, S. Jadhav, and P. Ugale, "Introduction to tenant based QoS provision in Open vSwitch," Int. J. Emerg. Technol. Adv. Eng., vol. 5, no. 2, p. 363, Feb. 2015, ISSN 2250-2459.
  5. R. V. Gengane, P. Ugale, R. Shinde, and S. Jadhav, "Digital data steganography using improved LSB palette based algorithm with enhanced NVSS technique," Int. J. Res. Develop. Technol., vol. 11, no. 4, p. 7, 2019.

B. Books / Book Chapters

No details provided.

C. International Conferences

  1. C. Talele, C. Sapkal, M. Pendke, S. Deshmukh and P. Ugale, "Disaster Information Aggregation Software Using Multimodel AI for Real-Time Crisis Response," 2026 International Conference on Emerging Trends and Innovations in ICT (ICEI), Pune, India, 2026, pp. 1–7. DOI: 10.1109/ICEI65890.2026.11447697.
  2. P. Ugale and P. Railkar, "Steganographic Embedding of Features through Hybrid Edge Detection for Effective Content based Image Retrieval," 2025 International Conference on Computing Technologies (ICOCT), Bengaluru, India, 2025, pp. 1–6. DOI: 10.1109/ICOCT64433.2025.11118767.
  3. Farooqui, W., Kanherkar, R., Kumari, P., Ugale, P. (2024). Cross-Modal Text-to-Video Retrieval Using Deep Learning. In: Vimal, V., Perikos, I., Mukherjee, A., Piuri, V. (eds) Multi-Strategy Learning Environment. ICMSLE 2024. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-97-1488-9_20
  4. Ugale, P., Mali, S. (2022). Recent Trends and Techniques of CBIR to Enhance Retrieval Performance. In: Kumar, A., Mozar, S. (eds) ICCCE 2021. Lecture Notes in Electrical Engineering, vol. 828. Springer, Singapore. https://doi.org/10.1007/978-981-16-7985-8_91
  5. D. Singh, A. Khandelwal, A. Kumar, H. Bawaskar and P. Ugale, "Timelog: Genetic AI Enabled Timetable Generation," 2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE), Bangalore, India, 2024, pp. 450–456. DOI: 10.1109/ICWITE59797.2024.10502752.
  6. Sharma, A., Singh, K., Dubey, K., Kumar, A., Ugale, P. (2023). Semantic Aware Video Clipper Using Speech Recognition Toolkit. In: Sharma, H., Saha, A.K., Prasad, M. (eds) Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2022). ICIVC 2022. Proceedings in Adaptation, Learning and Optimization, vol. 17. Springer, Cham. https://doi.org/10.1007/978-3-031-31164-2_35

D. National Conferences

No details provided.

E. Patent Details

No details provided.


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