Dr.Madhav Bokare
Shri Sharada Bhavan Education Society’s Institute of Technology and Management, VIP Road, Nanded., SSC Board, SRTMUN, YCMOU
0009-0009-4270-5475
About
Dr. Madhav Motiram Bokare is a Post Graduate and Ph.D. in Computer Science & Engineering, also completed MBA (Marketing) & Currently Working as Associate Professor & HOD, at Department of Computer Science, Shri Sharda Bhavan Education Society's, Institute of Technology and Management Nanded.
He has more than 20 years of teaching experience. He has taught Graduate & Post Graduate students. He is working as BOS & BOE member Computer Science & Application of S.R.T.M. University, Nanded. He organizes different conferences & Seminars. He has published research papers at National & International level and also working as a Supervisor for Ph.D. in Computer Science.
Employment
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Shri Sharada Bhavan Education Society’s Institute of Technology and Management, VIP Road, Nanded. Associate Prof. and Head2003 - Present
Education
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SSC Board SSC
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SRTMUN B.E.Computer Sci. & Engg
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YCMOU M.B.A
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R.T.M.N.U. Ph.D.
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H.S.C Board H.S.C
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S.R.T.M.U. N M.E.Computer Sci. & Engg.
Projects & Funding
Projects & funding information is unavailable.
Publications (55)
- NETWORK SECURITY IMPLEMENTATION BY ONION ROUTING Save
- Sentiment Analysis of Stocks Using Machine Learning Methods Save
- Hybrid Deep Learning Framework for Real-Time Stress Recognition Using Infrared Thermal Facial Imaging Save
- Mining Student Interaction Data to Predict Academic Performance and Dropout Risks Save
- System for Scheduling Doctor Appointment Save
- A New Approach to Key Generation Using 3D Chotic Systems in Hybrid Lightweight IoT Based Cloud Security Algorithms Save
- Self-supervised learning for blood cancer detection under limited annotation conditions Save
- Fully interpretable deep learning LSTM model using IR thermal facial images for detecting stress Save
- Design and Analysis of a Novel Multi-Feature Attention Convolutional Neural Network-Driven Intelligent Framework for Intrusion Detection in Secure Network Environments Save
- Real Time Stress Detection Using Infrared Thermal Imaging and Machine Learning Save