Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | DR. CHUDAMAN DEVIDASRAO SUKTE

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DR. CHUDAMAN DEVIDASRAO SUKTE

Designation:

Assistant Professor

Department:

Information Technology

Email :

chudaman.sukte@vit.edu

Phone :

9890669200

 



Personal

Educational Qualification :

University Degree Year
Dr. Babasaheb Ambedkar Marathwada University Phd 2023
Dr. Babasaheb Ambedkar Technological University Mtech 2012
Swami Ramanand Teerth Marathwada University BE 2005


Date of Joining : 02/11/2023


Total Experience : 19 year:8 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 Vijay Institute of Technology and Sciences Kamareddy Nizamabad JNTU University Lecturer 20-Aug-2005 02-Feb-2006 0
2 Vidya Pratishthans College of Engineering Baramati Dist Pune Lecturer 03-Feb-2006 30-Jun-2008 2
3 MIT College of Engineering Pune Assistant Professor 19-Feb-2009 30-Jun-2019 10
4 Dr Vishwanath Karad MIT World Peace University Pune Assistant Professor 01-Jul-2019 02-Nov-2023 4
5 Vishwakarma Institute of Technology Pune Assistant Professor 03-Nov-2023 - 2

International Journal:

  1. Developing smart insect traps using IoT and AI for automated pest monitoring ,Journal of Entomological Research,125

International Conference:

  1. Bi-LSTM Approach for Forecasting Passenger Demand in Indian Rural Bus Systems ,2025 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC),125
  2. Reviving Lesser-Known Tourist Sites in Maharashtra Using Random Forest ,Springer 9th International Conference on Information and Communication Technology for Competitive Strategies (ICTCS),125
  3. VTON-IT: Enhancing Virtual Try-Ons with YOLOv11 for Real-Time Fashion Visualization ,12th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP),125


Patents :

  1. A MACHINE LEARNING BASED FINANCE MANAGEMENT SYSTEM FOR MIDDLE AND LOWER MIDDLE CLASS FAMILIES
  2. A MACHINE LEARNING BASED CROP YIELD PREDICTION AND RESOURCE MANAGEMENT SYSTEM
  3. A REAL-TIME MESS MENU MANAGEMENT SYSTEM WITH ENHANCED STUDENT ACCESSIBILITY



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