Faculty Profile
Home | MR. MAHESH SUHAS SHINDE

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MR. MAHESH SUHAS SHINDE

Designation:

Assistant Professor

Department:

Information Technology

Email :

mahesh.shinde@vit.edu

Phone :

9850890187

Educational Qualification :

University Degree Year
Savitribai Phule Pune University ME 2015
Savitribai Phule Pune University BE 2013
Avantika University Phd 2026


Date of Joining : 30/06/2025


Total Experience : 10 year:7 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 MES Wadia College of Engineering Pune Assistant Professor 14-Dec-2015 31-May-2025 9
2 VIT Pune Assistant Professor 01-Jul-2025 - 1

Professional Contribution :

  1. Class Teacher SY_IT-A Sem-1

  2. Class Teacher SY_IT-F Sem-2

  3. EDI and Major Project

  4. NBA Criteria 7

  5. FY,DSE and ACAP Admission duties


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 National Capacity Building Program on Research and Publications 2-Week Online Winter Course organized by the Indian Institute of Technology, Dharwad, Karnataka FDP Participated 08-Dec-2025 19-Dec-2025
2 Recent Trends in Computation One week Online FDP organized by Department of Computer Engineering, VIT, Pune FDP Participated 15-Sep-2025 19-Sep-2025
3 Unveiling Quantum Computing from Fundamentals to Real-World Applications One Week Online Faculty Development Program Organized by Quantum Computing SIG, Department of Information Technology, Information Technology, Vishwakarma Institute of Technology, Pune from 15th Vishwakarma Institute of Technology, Pune FDP Participated 19-Aug-2025 23-Aug-2025
4 AI Foundations for Business Professionals Specialization 3 Course series MOOC Participated - -

Research Grant / Funded Projects :

  1. Handwritten Digit Recognizer using Deep Learning Techniques
  2. Training and Reporting System: Assessment and Effectiveness Measurement

Copyrights :

  1. A Multimodal Deep Neural Network approach for Early identification and Management of Chronic Kidney Disease

Patents :

  1. DEEP LEARNING-BASED EARLY DETECTION AND PREVENTION FRAMEWORK FOR CHRONIC KIDNEY DISEASE



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