Dr. Siddhivinayak Arvind Kulkarni
Dr. Siddhivinayak Arvind Kulkarni


Dr. Siddhivinayak Kulkarni holds a Master's degree and a Ph.D. from Griffith University, Australia, and has worked at prestigious universities such as Nipissing University in Canada and Federation University in Australia. He has been awarded the esteemed title of Honorary Research Fellow (HRF) by the Faculty of Science and Technology at Federation University Australia in recognition of his outstanding research contributions. Dr. Kulkarni has also received the Griffith Sciences International Alumnus Award from Griffith University, Australia for his noteworthy achievements in teaching, research, and community service on an international level. His research interests include Pattern Recognition, Machine Intelligence, Natural Language Processing, and Health Informatics.

Research Areas

Pattern recognition, Machine intelligence, Natural language processing and Health informatics


Siddhivinayak Kulkarni, Amol Dhondse, Kunal Khadilkar, Sumit Chavan, Rahul Barhate, Indrajeet Kane. (2019), ""Generative Adversarial Networks as an Advancement to 2D to 3D Reconstruction Techniques"". Springer Journal on Advances in Intelligent Systems and Computing; Data Management, Analytics and 5 Innovation, pp. 343-364

Ezzati, G., Mammadov, M., Kulkarni S., (2014), Solving reliability analysis problems in the polar space, International Journal of Applied Mathematical Research, Volume 3, No. 4, 353-365.

Kulkarni, S.(2011), Fingerprint Feature Extraction and Classification by Learning 6 the Characteristics of Fingerprint Patterns, Neural Network World: International Journal on Non-standard Computing and Artificial Intelligence, Vol. 21, No. 3, July 2011, 219-226.

Kulkarni, S. (2010), Natural Language based Fuzzy Queries and Fuzzy Mapping of Feature Database for Image Retrieval, Journal of Information Technology and Applications, Vol. 4, No. 1, March 2010, 11-20.

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Research Grants

“Securing Australia with Biometric Techniques: Fingerprint Feature Extraction, Classification and Matching for Security Applications”, “Content-based Retrieval of Digital Image and Video” from Universities in Canada and Australia.

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