Bio

“Dr. Pradnya Kulkarni has completed her Ph.D. in the area of medical image processing (Pixel N-grams for Mammograms Classification) from Federation University Australia. She has been appointed as Honorary Research Fellow at Federation University, Australia. She has 12 years of global experience working in Canada, Australia, and India. Her research interests include medical image processing, machine learning, IoT. She has 18 publications in reputed international journals and conferences. She has served as a reviewer, program committee member, editorial board member for many international journals and conferences. She has also served as session chairs for international conferences and organized a few special sessions. She has taught a wide variety of courses to undergraduate and postgraduate students. She is a member of IEEE SIGHT, CSI and Golden Key International Honour Society. She is a recipient of the following awards.

    • Federation Postgraduate Research Scholarship (FPRS) ($26,228 per annum)

    • Most Outstanding Full Paper award in UB Annual Research Conference, November 2013.

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

    • High-performing woman higher degree research student (profiled on the Federation University website on the occasion of International Day for Women and Girls in Science (11 February 2017). Visit http://federation.edu.au/research/research-degrees/why-research-at-feduni/making-mammograms-more-accurate

 

Qualification:

    • Ph.D. (Information Technology)- Federation University, Australia

    • PGD (Information Technology)

    • B.E. (Electronics Engineering)

 

Research Papers:

    • Research Papers 1 : Kulkarni, P., Stranieri, A. (April 2018), Comparison of Pixel N-grams with Histogram, Haralick’s features and Bag-of-Visual-Words for Texture Image Classification, IEEE’s International Conference for Convergence In Technology (I2CT), Pune, India

    • Research Papers 2 : Kulkarni, P., Stranieri, A., Ugon, J., (2016, August). Texture Image Classification using Pixel N-grams, International Conference on Signal and Image Processing, Beijing, China, 137-141

    • Research Papers 3 : Kulkarni, P., Stranieri, A., Kulkarni, S. Ugon, J., & Mittal, M. (2014, February). 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.

 

Experience:

    • Teaching experience : 7 Years

    • Industry experience : 4 Years

    • Research experience : 6 Years

Subjects

Human Computer Interaction, Cloud Computing, Database Management Systems, Data Structures and Files Laboratory, IT Project Management, C Programming