Dr. Bharat Tidke

Dr. Bharat Tidke

Assistant Professor
Emailbharat.tidke@mitwpu.edu.in

BIO

Bharat Tidke is an Assistant Professor in the Computer Science and Engineering department of MITWPU, Pune, India. He got his Masters and Ph.D. in Computer Science and Engineering from National Institute of Technology, Surat, India. His research interest is in Data Analytics and in general in Social network analysis and Big data. This includes Influence analysis, knowledge graphs and its applications. His research has been disseminated in several internationally reputed journals and conferences. He has supervised many masters students and served as reviewer for many reputed journals. My peripheral interests lie in activities that include Travel, Music and playing cricket.Bharat Tidke is an Assistant Professor in the Computer Science and Engineering department of MITWPU, Pune, India. He got his Masters and Ph.D. in Computer Science and Engineering from National Institute of Technology, Surat, India. His research interest is in Data Analytics and in general in Social network analysis and Big data. This includes Influence analysis, knowledge graphs and its applications. His research has been disseminated in several internationally reputed journals and conferences. He has supervised many masters students and served as reviewer for many reputed journals. His peripheral interests lie in activities that include Travel, Music and playing cricket.

Qualification:

  • BE (Computer Engineering) 

  • MTech (Computer Science and Engineering)

  • PhD (Computer Science and Engineering)

Paper Publications details: 

 

Research Work: 

 My current research is focused on Online Social Network (OSN) Data and Machine Learning. OSN is an interesting and important dataset for many domains such as Marketing, Finance, Politics, Governments, and Research Community and can be leverage for the progress of society

Experience:

  • Teaching experience : 5.5 years 

  • Research  experience : 4 years 

SUBJECTS

Data Science, Information Retrieval, Research Methodology, Data Mining and Data Warehouse