Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | DR. CHITRAKANT OMPRAKASH BANCHHOR

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DR. CHITRAKANT OMPRAKASH BANCHHOR

Designation:

Assistant Professor

Department:

Computer Science and Engineering(Artificial Intelligence)

Email :

chitrakant.banchhor@vit.edu

Phone :

9822774502

 



Personal

Educational Qualification :

University Degree Year
K L University Phd 2022
Bharati Vidyapeeth University Mtech 2008
Gulbarga University BE 1996


Date of Joining : 04/09/2022


Total Experience : 0 year:0 month

Professional Contribution :

  1. Class of SY-B CSE(Ai)

  2. Class SY B 2025-26

  3. Exam Coordinator for CSE(AI)

  4. Admission Duty

  5. Passing out ceremony

  6. Course Coordinator


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 AI for sustainable Development Integrates Artificial Intelligence with sustainability and green skilling. It equips participants with practical AI skills to address real-world environmental challenges such as energy efficiency, waste management, and sustainable agriculture. The program also promotes ethical and responsible AI practices while preparing participants for emerging careers in green technologies FDP Participated 04-May-2026 08-May-2026
2 Python for Everybody This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. MOOC Participated 04-May-2026 17-May-2026
3 AI for sustainable Development Goals One week online faculty Development Program FDP Participated 01-Dec-2025 05-Dec-2025
4 NextGen Data Science: Transforming Education and Research through Data Five-Day Online Faculty Development Programme (FDP) FDP Participated 23-Jun-2025 27-Jun-2025

International Conference:

  1. Personalized AI Based Outfit Recommendation System ,Power Engineering and Intelligent Systems: Proceedings of PEIS 2025, Volume 1,126
  2. Early Detection of Liver Disease Using MachineLearning: An Integrated Approach with FeatureSelection and XGBoost Optimization ,Smart Trends in Computing and Communications Proceedings of SmartCom 2025,125

International Journal:

  1. Swarm intelligence in handling of big data ,Journal of Electrical Systems and Information Technology,125
  2. Integration of software-based cognitive approaches and brain-like computer machinery for efficient cognitive computing ,Neuroscience Informatics,125
  3. White shark beetle optimizer enabled deep fuzzy clustering for feature selection and big data clustering in MapReduce framework ,Fuzzy Sets and Systems,125
  4. In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study ,Acta Informatica Pragensia,125


Research Grant / Funded Projects :

  1. Hadoop based Big Data Classification Framework for Scalable Data Processing
  2. Microplastic detection using CNN and Holography

Patents :

  1. A COMPREHENSIVE SYSTEM FOR CONNECTING HEALTHCARE PROFESSIONALS AND PATIENTS
  2. An iot-based smart classroom automation system using computer vision and dynamic zonal mapping
  3. Vrl: verified repair layer for ext4 filesystems
  4. SMART FIELD MONITORING DEVICE USING QUANTUM-INSPIRED MACHINE LEARNING FOR EARLY DETECTION OF CROP DISEASES AND PESTS



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