Pradnya S. Kulkarni

Dr Pradnya S. Kulkarni is currently working as Associate Professor at Department of Computer Engineering and Technology, Dr. Vishwanath Karad MIT World Peace University. She has over 20 years of global experience working in industry as well as academia (Australia, Canada and India). She completed her PhD at Federation University in December 2017. Her research project developed a new image representation model, called ‘Pixel N-grams’, for the automated diagnosis of mammographic lesions that can be used as a second opinion by radiologists. For further information about her ground-breaking work, visit https://federation.edu.au/connect/alumni/success-stories/profiles/k/kulkarni,-pradnya. Pradnya’s research interests include medical image analysis, artificial intelligence, and health informatics. She received Federation Post graduate Research Scholarship (FPRS) while pursuing her PhD work. She was nominated for John Makepeace Bennett Distinguished Dissertation Award in 2018. She is a proud member of Golden Key International Honour Society, IEEE SIGHT and CSI since 2017. She has been appointed as Honorory Research Fellow by Federation University, Australia in 2018. She is collaboratively working on research projects with researchers from Australia, USA, UAE, Srilanka and India. She applied for IEEE SIGHT funding, Australian Alumni Grant Scheme (AAGS) in collaboration with Andrew Stranieri (CIAO, Federation University, Australia), Professor Herbert Jelinek (Charles Sturt University, Australia), Dr. Preeti Abhyankar, aiming to improve the early detection and treatment of diabetic retinopathy in rural Indian communities. She has published her research in more than 30 reputed international conferences, journals and book chapters (Book chapters: 4, Journals: 9, Conferences: 20, Total: 33). She is a reviewer for many international conferences and Journals and has served as a session chair for international and national conferences. She has organized special session on ‘Medical Image Processing and Machine Learning’ at the IEEE Biomedical and Health Informatics Conference in Las Vegas, USA and a session on ‘Computational Intelligence for Medical Image Processing’, to be delivered at the IEEE SSCI-2018 conference in Bengaluru, India, in November 2018. She has also worked as advisory committee member, program committee member and editorial board member for various international conferences. She is a member of Research Advisory Committee for Vishwakarma University, India and Federation University, Australia. Her work is patented as Australian Innovation as well and Indian Patent for the topic “Pixel N-grams for Mammographic Image Classification”. She has received “Best Presentation Award” and “Oustanding Research Paper Award” for few conferences. She has encouraged other faculty members at MIT World Peace University and guided them to proceed in the right research directions. (https://www.youtube.com/watch?v=zkG5Lp9ohVY&t=11s) She taught a wide variety of courses to undergraduate and postgraduate students including UIUX Design, Full Stack Development, Database Management System, Machine Learning, Human Computer Interaction, Data structures, Principles of Programming, Software Engineering. She has supervised various Btech projects, Mtech projects to successful completion. She has been successfully handling major administrative portfolios such as NAAC criteria 10 coordinator, academic coordinator for third year and seminar coordinator, hackathon criteria coordinator, RIDE (Research Innovation Design, Entrepreneurship) facilitator.