Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | MR. AJAY SUBHASHCHAND CHHAJED

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MR. AJAY SUBHASHCHAND CHHAJED

Designation:

Assistant Professor

Department:

Computer Engineering (Software Engineering)

Email :

ajay.chhajed@vit.edu

Phone :

9423502147

 



Personal

Educational Qualification :

University Degree Year
G H Raisoni University Phd 2024
Swami Ramanand Teerth Marathwada University ME 2013
Swami Ramanand Teerth Marathwada University ME 2013
Sant Gadge Baba Amravati University BE 2004
Sant Gadge Baba Amravati University BE 2004


Date of Joining : 13/10/2024


Total Experience : 18 year:3 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 ANURADHA ENGINEERING COLLEGE CHIKHLI ASSISTANT PROFESSOR 23-Jul-2005 23-Oct-2023 18

Professional Contribution :

  1. Class Inchargge

  2. Class Teacher

  3. ClassTeacher V sem

  4. Registration and Reception Arrangement in Vishwanbhuti

  5. Faculty Coordinators for Corporate Relations

  6. MoU,COE,Industry Training Coordinator

  7. Vishwakarandak’25,


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Modern Agile Principles for Transforming Educational Practices aims to empower educators with Agile-based teaching strategies, project-based learning methods, and data-driven decision-making. Sessions by industry experts FDP Participated 08-Dec-2025 12-Dec-2025
2 Modern Agile Principles for Transforming Educational Practices modern Agile principles and their application in teaching, learning, and student project management. FDP Coordinator 08-Dec-2025 12-Dec-2025
3 One Week Bootcamp Programmed on Artificial Intelligence Machine Learning To equip participant with knowledge and skills necessary to thrive in the rapidly evolving landscape of AI. To empower the participants to identify the opportunities to apply their knowledge to their projects. STTP Participated 28-Jul-2025 10-Aug-2025
4 One Week Bootcamp Programmed on Artificial Intelligence Machine Learning To equip participant with knowledge and skills necessary to thrive in the rapidly evolving landscape of AI. To empower the participants to identify the opportunities to apply their knowledge to their projects. STTP Coordinator 28-Jul-2025 01-Aug-2025
5 AI-ML in HealthCare and medical Engineering -AI-ML in HealthCare and medical Engineering FDP Participated 16-Jun-2025 20-Jun-2025
6 Empowering Innovation:Mastering machine learning,Deep Learning,and Generative Ai FDP Participated 21-Apr-2025 25-Apr-2025
7 Shaping Ethical Learners: Fostering Academic Integrity from Elementary Education. Seminar Participated 08-Apr-2025 08-Apr-2025
8 Next Gen AI skills:A practical approach for educators FDP Participated 24-Mar-2025 28-Mar-2025
9 DESH Students’ Conference on Advances in Science and Technology DSECAST- 2025 Other Coordinator 01-Mar-2025 02-Mar-2025
10 Machine Learning for Engineering and science applications NPTEL course MOOC Participated 24-Jan-2025 27-Apr-2025
11 Machine Learning in AI & its Applications FDP Participated 20-Jan-2025 29-Jan-2025
12 Research Methodology NPTEL course MOOC Participated 13-Jan-2025 22-Mar-2025

International Journal:

  1. Reinforcement Learning-Optimized Resource Allocation Framework for Edge Computing ,2025 Tenth International Conference on Science Technology Engineering and Mathematics (ICONSTEM),126
  2. UBER RIDE PREDICTION USING MACHINE LEARNING ,ICEARS,125
  3. Robust Human Target Detection and Aquisitions ,International Journal of Innovative Science and Research Technology,125
  4. Crowd-Based Disability-Friendly Route Finder ,International Journal for Research in Applied Science & Engineering Technology,125


  1. Patent filed

Research Grant / Funded Projects :

  1. Agentic AI :Advancing the Frontiers of Autonomous AI Agents for AWS Cloud ecosystem
  2. Recent advancements in computer vision and deep learning provide an opportunity to develop automated, real-time animal detection systems capable of alerting farmers, thereby reducing crop damage and improving safety.
  3. Quality Review process.
  4. Streaming Data Pipeline

Patents :

  1. Predictive Analytics Platform Using Machine Learning for Personalize Cancer Risk Assessment



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