Mrs. Anita Shivaji Gunjal

Bio

I am a passionate academician committed to fostering analytical thinking, innovation, and research excellence among students. I am committed to cultivating strong conceptual foundations and practical problem-solving skills in emerging technologies such as Artificial Intelligence, Data Science, and Machine Learning. My teaching philosophy emphasizes experiential learning, research integration, and industry-relevant applications to bridge the gap between theory and practice.

I am motivated to mentor students toward innovation, ethical responsibility, and lifelong learning. Through quality teaching, impactful research, and active academic engagement, I strive to contribute meaningfully to MIT-WPU’s vision of holistic, value-based education and global excellence in technology and research.

Specialisation: Artificial Intelligence and Data Science

Areas of Expertise: Data Science, Deep Learning

Teaching Experience: 17+ Years

Education:

Ph.D: PhD(Pursuing) in Computer Science & Engineering, Sathyabama University, Chennai

M.Tech: ME in Computer Engineering, AVCOE(SPPU), Sangamner

B.tech: BE in Computer Engineering, AVCOE(SPPU), Sangamner

Publications and Research Work:

1) Anita Gunjal, T. Judgi, A comprehensive survey of artificial intelligence methods for cardiovascular disease detection: Recent advances and future challenges,MethodsX,Volume 15,2025,103678,ISSN 2215-0161,

2) Sushila Aghav-Palwe, Anita Gunjal, Chapter 1 - Introduction to cognitive computing and its various applications,Editor(s): Mamta Mittal, Rajiv Ratn Shah, Sudipta Roy,In Cognitive Data Science in Sustainable Computing,Cognitive Computing for Human-Robot Interaction,Academic Press,2021,Pages 1-18,ISBN 9780323857697, https://doi.org/10.1016/B978-0-323-85769-7.00009-4.

3) M. R. Pillai and A. Gunjal, "Water, Weeds, and Warnings: AI at the Frontlines of Modern Farming," 2025 2nd International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS), Hassan, India, 2025, pp. 1-7.

4) A. S. Gunjal and T. Judgi, "Cardiovascular Disease Prediction Using ML Based Classification Methods," 2025 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India, 2025, pp. 1-6.

5) Hande, Y., Lokhande, J., Gunjal, A. (2026). Decoding Explainable AI: A Critical Review of Emerging Techniques, Key Challenges, and Future Pathways. In: Choudrie, J., Mahalle, P.N., Perumal, T., Joshi, A. (eds) ICT for Intelligent Systems. ICTIS 2025. Lecture Notes in Networks and Systems, vol 1517. Springer, Singapore.

Subjects Taught: Deep Learning Models, Python Programming, Operating Systems, Object Oriented Programming, Tools for Data Science, Data Engineering Concepts

Google Scholar link
https://scholar.google.com/citations?hl=en&user=zJiVrLgAAAAJ&view_op=list_works&sortby=pubdate

Scopus link
https://scopus.com/authid/detail.uri?authorId=57223372876&origin=resultslist

Orcid Id:
https://orcid.org/0000-0002-8019-2326

Linked In:
https://linkedin.com/in/anita-gunjal-b2663a126