Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | DR. POONAM YOGESH PAWAR

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DR. POONAM YOGESH PAWAR

Designation:

Assistant Professor

Department:

Information Technology

Email :

poonam.pawar@vit.edu

Phone :

9834801155

 



Personal

Educational Qualification :

University Degree Year
Vishwakarma University Phd 2025
Savitribai Phule Pune University ME 2010
Savitribai Phule Pune University BE 2004
MSBTE Diploma 2001


Date of Joining : 28/05/2025


Total Experience : 21 year:5 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 Pimpri Chinchwad Ploytehnich Pradhikaran LEcturer 13-Sep-2004 31-May-2007 2
2 Sinhgad Academy of Engineering Kondhwa Assistant Professor 16-Jul-2007 28-May-2025 17
3 Vishwakarma Institute of Technology 29-May-2025 - 0

Professional Contribution :

  1. Class Teacher of SYIT Div C

  2. Website coordinator and outreach

  3. NBA Criteria 3 member

  4. Class Teacher of SYIT E


International Conference:

  1. Green Trace : AI Carbon Tracker And Carbon Credit Exchange ,IGNITE-2026 (International Conference on Innovation and Growth in Next-Generation Intelligent Technology and Engineering) hosted by KJ College of Engineering and Management Research, Pune, India!,126

International Journal:

  1. Identification of source of image degradation using a new hybrid dense F-LSTM network and image restoration ,Computers and Electrical Engineering,125
  2. Deep Learning Approach for the Detection of Noise Type in Ancient Images ,Sustainability,122
  3. Image dataset of Pune city historical places for degradation detection, classification, and restoration ,Data in Brief,123
  4. Discover Image Restoration: Analysis and Novel Architecture Proposal ,International Conference on Inventive Computation Technologies (ICICT),124
  5. Novel technique to deblurring and blur detection techniques for enhanced visual clarity of ancient images ,International Journal of Electrical and Computer Engineering (IJECE),124


Research Grant / Funded Projects :

  1. Weed detection and removal using deep learning
  2. Development of an Early Warning Model Using Remote Sensing, UAVs, GIS and Machine Learning for Forest Fire Risk Reduction in Jhum-Affected Landscapes
  3. Deep learning based abnormality detection in Chest X-Ray
  4. AI-Based Attendance with Face Recognition
  5. Text -to-Video AI-Based Intelligent Generation System



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