Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | DR. SATISH SHANKARRAO BANAIT

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DR. SATISH SHANKARRAO BANAIT

Designation:

Associate Professor

Department:

Computer Science and Engineering(Artificial Intelligence)

Email :

satish.banait@vit.edu

Phone :

7558652492

 



Personal

Educational Qualification :

University Degree Year
Savitribai Phule Pune University Phd 2022


Date of Joining : 13/07/2025


Total Experience : 22 year:7 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 K K Wagh Iinstitute of Engineering Education and Research Nashik and Sandip University Nashik Associate Professor 01-Aug-2006 - 19
2 Sandip University Nashik Associate Professor 12-Sep-2024 - 1
3 Vishwakarma Institute of Technology Pune Associate Pofessor 14-Jul-2025 - 0

Professional Contribution :

  1. NAAC Cordinator (Department Level)

  2. FDP Cordinator

  3. Course Owner


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Energizing the Future: Leveraging the Synergy of Cloud Computing and Artificial Intelligence ATAL FDP FDP Attended Industry lecture 23-Dec-2025 03-Dec-2025
2 EMERGING TRENDS IN RENEWABLE ENERGY, SMART SYSTEMS, AND CLIMATE CHANGE MITIGATION ATAL FDP FDP Attended Industry lecture 24-Nov-2025 29-Nov-2025
3 Coursera MOOC Attended Industry lecture - -

International Journal:

  1. Spectral methods for solving partial differential equations in multiphysics simulations ,Journal of Interdisciplinary Mathematics,125
  2. Algorithmic approaches to real and complex geometry in computer vision applications ,Journal of Interdisciplinary Mathematics,125


Research Grant / Funded Projects :

  1. A Multi-Agent System for Intelligent Invoice Processing and Financial Risk Analytics using Hybrid Artificial Intelligence Models
  2. AI Workflow Test Automation

Patents :

  1. A LUNG CANCER DETECTION SYSTEM BASED ON HYBRID LIGHTWEIGHT TRANSFER LEARNING AND ENSEMBLE MODELS
  2. AN AI AND FEDERATED LEARNING-BASED SYSTEM FOR DETECTION AND CLASSIFICATION OF BRAIN TUMOR
  3. AN EXPLAINABLE ARTIFICIAL INTELLIGENCE BASED DIABETIC RETINOPATHY DETECTION AND SEVERITY CLASSIFICATION SYSTEM
  4. A TEXT-TO-IMAGE GENERATIVE AI SYSTEM FOR PLANT PATHOLOGY AND RESEARCH



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