Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | MR. GANESH CHANDRABHAN SHELKE

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MR. GANESH CHANDRABHAN SHELKE

Designation:

Assistant Professor

Department:

Information Technology

Email :

ganesh.shelke@vit.edu

Phone :

9822938292

 



Personal

Educational Qualification :

University Degree Year
Jawaharlal Nehru Technological University Mtech 2015
Savitribai Phule Pune University BE 2004


Date of Joining : 12/06/2005


Total Experience : 20 year:6 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 Vishwakarma Institute of Technology,Pune Assistant Professor 13-Jun-2005 - 20

Professional Contribution :

  1. Passing Out Ceremony

  2. Admission counselling

  3. Admission counselling

  4. First Year B. Tech. Admission(CAP) - PRN generation

  5. First Year B. Tech. Admission(ACAP) - PRN generation

  6. Class Teacher(Portfolio)

  7. FY Admission – ACAP Round/s


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Sustainable AI Application Development Sustainable AI Application Development FDP Participated 07-Apr-2025 11-Apr-2025
2 DESH Students’ Conference on Advances in Science and Technology DSECAST- 2025 DESH Students’ Conference on Advances in Science and Technology DSECAST- 2025 Other organizing member 01-Mar-2025 02-Mar-2025
3 Generative AI and Multidomain use cases 1 week FDP FDP Participated 02-Dec-2024 06-Dec-2024
4 Quantum Computing Essentials 1 week FDP FDP Participated 05-Aug-2024 09-Aug-2024

International Journal:

  1. A Deep Learning Based Adaptive Model for Blocking Incoming Calls Based On The Caller's Voice Commands ,Communications on Applied Nonlinear Analysis,124
  2. Interoperable Blockchain Frameworks: Enabling Cross-Chain Transactions in Global Ecosystems ,Journal of Information Systems Engineering and Management,125
  3. Deep Learning for Colorectal Cancer ScreeningUsing Colonoscopy Images ,Smart trends in computing and communications,125
  4. Enhancing Student Access to Financial Aid: A Web-Based Approach to Scholarship Search and Application ,International Journal of Innovative Science and Research Technology,124
  5. Real-Time Pothole Detection Using YOLO and Streamlit: A Machine Learning Approach ,International Journal of Research and Analytical Reviews,124
  6. Smart Chess Assistant: Using AI to See the Board and Suggest the Best Moves ,International Journal of Innovative Science and Research Technology,125
  7. Leveraging Machine Learning for Lung Cancer Risk Assessment Based on Survey Insights ,International Journal of Innovative Science and Research Technology,125
  8. Enhancing Player Engagement in Games using Design Patterns ,International Journal for Research in Applied Science & Engineering Technology (IJRASET),125

International Conference:

  1. Automated Detection of Lung Cancer using Deep Learning Models on CT Scans ,Smart trends in computing and communications,125
  2. Deep learning for Colorectal Cancer Screening using Colonoscopy Images ,Smart trends in computing and communications,125
  3. Automated Detection of Lung Cancer Using DeepLearning Models on CT Scans ,Smart trends in computing and communications,125
  4. BREAST-Net: A Deep Learning-Based Framework Integrating External Attention and Transformer Networks for Accurate Breast CancerDiagnosis from Ultrasound Imaging ,International conference on Emerging Technologies for Multidisciplinary Innovation and Sustainability,125
  5. Saliva Based Diagnostic Tools for Oral and Oropharyngeal Cancers using Deep Learning ,International conference on Emerging Technologies for Multidisciplinary Innovation and Sustainability,125


Research Grant / Funded Projects :

  1. Blockchain Enabled Digital Certificate Management System
  2. Skin Disease Detection using Deep Learning and Machine Learning

Patents :

  1. AN AUDIO CAPTCHA SYSTEM FOR VISUALLY IMPAIRED PEOPLE
  2. A WASTE MANAGEMENT SYSTEM
  3. AN IOT BASED REALTIME TRACKING SYSTEM FOR WOMEN'S SAFETY AND SECURITY
  4. A DIRECT JOB-CONNECTING SYSTEM FOR DAILY WAGE WORKERS



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