Prof. Pratvina Vinayak Talele

Bio

Dr. Pratvina Talele is an Assistant Professor in the Department of Computer Engineering and Technology, School of Computer Science and Engineering at Dr. Vishwanath Karad MIT World Peace University, Pune, with 18+ years of experience in higher education.

She previously served at MIT College of Engineering since 2007. Her research focuses on Artificial Intelligence, Machine Learning and Requirement Engineering with an emphasis on learner-centric and inclusive education.

She has completed consultancy projects for Trident Services Pvt Ltd, Knowledge Waves Skill Development Centre Pvt. Ltd. and Pragmatic Techsoft Pvt. Ltd., translating academic research into industry-oriented solutions.

Professional Affiliations:

1. ISTE - Life Membership

2. CSI - Life Membership

Specialisation: Computer Science and Engineering

Areas of Expertise: Data Structures, Machine Learning

Teaching Experience: 20 years

Education:

Ph.D: Ph.D. In Computer Engineering - Dr. Vishwanath Karad MIT World Peace University, Pune

M.Tech: M.Tech. in Information Technology - MIT College of Engineering, Pune

B.Tech: B.Tech. in Information Technology - GF's College of Engineering, Jalgaon

Publications and Research Work:

1. Evolution of Drying Process Modeling: From Mathematical Foundations to Machine Learning‐Driven Prediction and Control P Talele, VD Chaudhari, H Talele, DV Chaudhari - Journal of Food Process Engineering, 2025

2. Voice-based user interface for hands-free data entry and automation at workplaces D Harihar, V Shrivastava, P Talele, A Jahagirdhar - MethodsX, 2025

3. Talele, P., Phalnikar, R. (2021). Software Requirements Classification and Prioritisation Using Machine Learning. In: Joshi, A., Khosravy, M., Gupta, N. (eds) Machine Learning for Predictive Analysis. Lecture Notes in Networks and Systems, vol 141. Springer, Singapore. https://doi.org/10.1007/978-981-15-7106-0_26

4. Talele, P., Apte, S., Phalnikar, R., & Talele, H. (2023). Semi-automated software requirements categorisation using machine learning algorithms. International journal of electrical and computer engineering systems, 14(10), 1107-1114.

5. Talele, P., & Phalnikar, R. (2023). Multiple correlation based decision tree model for classification of software requirements. International Journal of Computational Science and Engineering, 26(3), 305-315.

Awards and Recognitions: Outstanding Contribution as a Mentor in ICPC Programming Contest Asia Amritapuri

Subjects Taught: Data Structures, Design and Analysis of Algorithms, Operating Systems

Scopus Id:
https://www.scopus.com/authid/detail.uri?authorId=57212007030

Google Scolar Link:
https://scholar.google.com/citations?user=_sFHQ8UAAAAJ&hl=en

Orcid Id:
https://orcid.org/0000-0003-1400-7812

Linked In:
https://www.linkedin.com/in/pratvina-talele-3991a71aa/