Bio

Pranali Kosamkar completed her B.E.(Computer Technology) from Nagpur University in the year 2001. She Completed her Masters(ME(CSE) from D.Y.Patil COE, Akurdi, Pune University in 2011. Currently pursuing Ph.D.(CSE) from MIT-WPU Pune. She has done additional courses like C-DAC from ACTS-Pune, Software Testing from SQTL, Pune. She is working as an Assistant Professor in MIT Since from last 14 years. she has taught subjects like Compiler Construction, Data Mining & Warehousing, Database Management System, Principles of Concurrent & Distributed Programming, Principles of Programming Language & Software Testing & Quality Assurance. She has guided many UG and PG projects and also has the national and international paper publication to her credit. Her area of research includes Deep Learning, Machine Learning. She has been a part of a different committee of the Institution. She works as a Department website coordinator, Seminar coordinator, Department Library In charge also worked on NBA Criteria. She has worked as a Paper setter & evaluator for SPPU University.


Qualification

    • Ph.D. Pursuing (Computer Engg)

    • M.E.(CSE)

    • B.E.(CSE)


Research paper

    • Research paper 1 : “A novel Approach for Polarity determination using emoticons:Emotion Graph”,International Conference on ICT for Sustainable Development(ICT4SD 2015),3-4Jully- 15 ,Springer Science+Business media,volume-02,10.1007/978-981-10-0135-2_47

    • Research paper 2 : “Relationship between classical factors, social factors & box office Collection”,International Conference on Internet of Things and Applications(IOTA-2016),IEEE

    • Research paper 3 : “Feature based retrieval for Animation Video”,International Conference on Advances in Computing, Communications and Informatics, ICACCI ’12,DOI:10.1145/2345396.2345542


Experience

Teaching experience : 14 Years 11Month

Subjects

Principle of Compiler Design, Principle of Concurrent and Distributed Programming, Principle of Programming Language, Database Management System, Advance Database Management System,Data Mining Techniques and Applications