Dr. Savita S. Mane

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Dr. Savita Sudhakar Mane

Designation: Assistant Professor
Department: Computer Engineering

Qualification

  • Ph. D. – Computer Science and Engineering
  • ME – Computer Engineering
  • B.E - Computer Science and Engineering
  • Diploma - Computer Engineering

Overview of Profile

I am an accomplished academician and researcher in Computer Engineering with 10 years of teaching experience. My areas of expertise include Generative Artificial Intelligence, Artificial Intelligence, Responsible AI, Synthetic Data Generation, and Machine Learning. My research focuses on developing responsible, privacy-preserving, and bias-aware AI solutions, particularly for tabular machine learning, addressing challenges related to algorithmic bias, data imbalance, and privacy. I am actively engaged in research, academic innovation, and the application of emerging AI technologies to education and real-world challenges.

Fore Front Area of Research

Generative AI & Artificial Intelligence

Contact Information

Email ID: savita.mane@mitaoe.ac.in
Mobile Number: 8010204720 & 8261080608

Professional Experience

  • Teaching: 10
  • Industry: -
  • Research: -

Research Profile

Awards and Achievements

  • 2 NPTEL Certification (Gold and Silver)
  • 1 NITTR Certification
  • Academic Topper – School & B.E.

Publications

A. International Journals

  1. Savita L. Harer and Yogesh P. Sayaji, “A Survey on: Sentiment Analysis for Movie Domain in Mobile Environment”, International Journal of Computer Networking Wireless and Mobile Communications (IJCNWMC), Vol.no 2 and 5 pages (39-43), 28 February 2014, ISSN: 2250-1568.
  2. Savita L. Harer and Sandeep Kadam, “Mining and Summarizing Movie Reviews in Mobile Environment”, International Journal of Computer Science and Information Technology (IJCSIT), Vol.no 5 and 5 pages (3912-3916), 14 April 2014, ISSN:0975–9646.
  3. Savita L. Harer and Sandeep Kadam, “Sentiment Classification and Feature Based Summarization of Movie Reviews in Mobile Environment”, International Journal of Computer Application (IJCA), Vol.no 100 and 6 pages (30-35), 20 August 2014, ISSN: 0975- 8887.
  4. Harer, S., & Swami, S. "Synthetic Data Generation for Responsible Tabular Machine Learning: Review and Research Directions," Advanced Engineering Science, Vol. 58, Issue 02, pp. 417–428, May 2026.
  5. Harer Savita Laxman, “Secure Synthetic Data Modeling Through Differential Privacy and Deep Generative Networks,” JSL, Vol. 9, No. 6, June 2024, pp. 335–345. Online ISSN: 2456-1495.
  6. Harer Savita Laxman, “Synthetic Data Generation and Its Impact on Artificial Intelligence,” JRLA, Vol. 2, No. 1, March 2025, pp. 1337–1346. Online ISSN: 3048-667X.
  7. Harer Savita Laxman, “Mitigating Algorithmic Bias in Machine Learning Through Synthetic Tabular Data Generation,” The Chitransh Academic & Research, Vol. 1, Issue 3, 2025, pp. 676–687, ISSN 3049-303X. DOI: 10.5281/zenodo.17379246
  8. Harer Savita Laxman, “Privacy-Preserving Synthetic Data Generation for Responsible AI in Tabular Learning,” International Journal of Science Technology and Management (IJSTM), Vol. 13, Issue 11, November 2024, ISSN 2394-1537.

B. Books / Book Chapters

Book: “Generative AI and Large Language Models: Foundations, Architectures, and Applications.”

C. International Conferences

  1. Mane, S. (2026). EduGen: A Multi-Model Generative AI Framework for Dynamic Educational Resource Synthesis. IEEE International Conference for Convergence in Computing Technology (I3CTCON), published in IEEE Xplore. DOI: 10.1109/I3CTCON68242.2026.11507192.
  2. Mane, S. (2026). Comparative Analysis of Generative AI Models for Image Colorization. IEEE International Conference for Convergence in Computing Technology (I3CTCON), IEEE Xplore. DOI: 10.1109/I3CTCON68242.2026.11507916.
  3. Mane, S. (2026). A Unified Generative AI System for Synthetic Image Creation and Detection. Proceedings of the IEEE International Conference for Convergence in Computing Technology (I3CTCON), published in IEEE Xplore. DOI: 10.1109/I3CTCON68242.2026.11507145.
  4. Kharkate, S., & Mane, S. (2026). Generative AI Based Synthetic Data Generation for Skin Disease Classification Using VAE, GAN and Diffusion Models, IEEE I3CTCON 2026, IEEE Xplore, DOI: 10.1109/I3CTCON68242.2026.11507289.
  5. Paliwal, H., Agarwal, S., Mane, S., & Dharmadhikari, P. (2026). Synthetic E-commerce Data Generation Using Different Generative AI Models. In Proceedings of the International Conference on Recent Advances in Computing Engineering (ICRACE 2026), pp. 186–196. ISSN: 2347-3649
  6. Harer Savita Laxman*, “Responsible Artificial Intelligence Through Synthetic Tabular Data Generation: Addressing Bias, Privacy, and Data Imbalance,” Presented at International Conference on Engineering (ICETESHM–2024), New Delhi, India, 31 March 2024.

D. National Conferences

  1. Harer Savita Laxman, “Synthetic Data-Driven Responsible AI: A Framework for Addressing Bias, Data Imbalance, and Privacy Challenges in Tabular Machine Learning Models,” Presented at the National Conference on Advanced Research in Science, Engineering, Management and Humanities (NCARSEMH–2025), Jharkhand, India, 27 July 2025.
  2. Savita L. Harer and Yogesh P. Sayaji, “Sentiment Analysis for Movie Domain in Mobile Environment”, cPGCON Conference, 29 March 2014.

E. Patent Details