Bachelor of Business Administration

Bachelors's in Computer Application

Master of Laws or Legum Magister

Master of Business Administration

Dr. Pradnya Siddhivinayak Kulkarni

Associate Professor

Bio

Dr. Pradnya S. Kulkarni is an Associate Professor at MIT-WPU, whose teaching philosophy focuses on bridging the gap between theoretical computer engineering and industrial application. Guided by the university’s vision of holistic, research-driven education, she brings valuable international academic and industry experience from Australia, Canada, and India to create a collaborative learning environment.

Her contributions include leading high-impact research in medical image processing. Through guiding industry-sponsored projects and coordinating academic curricula, she strives to empower students with the technical expertise and ethical grounding required for global leadership.

Specialisation: Artificial Intelligence and Data Science

Areas of Expertise: Health Informatics, Medical Image Processing, Machine Learning

Teaching Experience: 17 Years

Industry/Research Experience:

4 Years (Software Developer- Aviarc Australia Pvt Ltd. Australia, Software Exports Pvt Ltd., Northern Ontario Research Centre for Aging and Communication, Canada)

Education:

Ph.D: Ph. D. In Information Technology - Federation University, Australia

B.Tech: B. E. In Electronics Engineering - TKIET, Shivaji University, Kolhapur

Publications and Research Work:

1. Kulkarni, P. S., & Patil, S. (June 2024). Diabetic Retinopathy Severity Classification using customized CNN. Biomedical Engineering: Applications, Basis and Communications, 2450009.

2. Kulkarni, P. S., Stranieri, A., Mahableshwarkar, A., & Kulkarni, M. (2022). Deep Reinforcement-Based Conversational AI Agent in Healthcare System. In Next Generation Healthcare Informatics (pp. 233-249). Springer, Singapore.

3. Kulkarni P., Stranieri S., Jelinek H. (Jan 2019), Comparing Pixel N-grams and Bag of Visual Word Features for the Classification of Diabetic Retinopathy, Health Informatics and Knowledge Management, Sydney, Australia

4. Kulkarni, P., Stranieri, A., Ugon, J., (Aug 2016). Texture Image Classification using Pixel N-grams, International Conference on Signal and Image Processing, Beijing, China, 137-141 (BEST PRESENTATION AWARD)

5. Kulkarni, P., Stranieri, A., Kulkarni, S. Ugon, J., & Mittal, M. (Feb 2014). Hybrid Technique Based on N-gram and Neural Networks for Classification of Mammographic Images, Second International Conference on Signal, Image Processing and Pattern Recognition, Sydney, Australia, 297–306.

Awards and Recognitions:

1. Honorary Research Fellow 2018 (Federation University, Australia)

2. Federation Postgraduate Research Scholarship (FPRS) for PhD Work – Mammographic Image Classification

3. Nominated for John Makepeace Bennett Distinguished Dissertation Award

4. Most Outstanding Full Paper award in UB Annual Research Conference, Ballarat, Australia

5. Best Oral Presentation award at International Conference on Signal and Image Processing (ICSIP, August 2016), Beijing, CHINA.

Subjects Taught

Database Management Systems, Data Engineering, Introduction to Machine Learning, Full Stack Development, User Interface User Experience Design

Professional Affiliations:

• Golden Key International Honour Society Member

• IEEE Special Interest Group in Humanitarian Technology (SIGHT) Member

• Computer Society of India lifetime member