Faculty Profile
Home | MRS. GRISHMA YADAV BOBHATE

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MRS. GRISHMA YADAV BOBHATE

Designation:

Assistant Professor

Department:

Computer Science and Engineering (Artificial Intelligence & Machine Learning)

Email :

grishma.bobhate@vit.edu

Phone :

9767229552

Educational Qualification :

University Degree Year
Sandip University Phd 2027
Savitribai Phule Pune University ME 2013
Sant Gadge Baba Amravati University BE 2011


Date of Joining : 17/09/2023


Total Experience : 10 year:7 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 Trinity College of Engineering and Research Assistant Professor 02-Jul-2012 31-Dec-2016 4
2 RMD Sinhgad School of Engineering Assistant Professor 02-Jul-2018 19-Jan-2022 3
3 Global Logic Senior Software Engineer 25-Jul-2022 19-Jan-2023 0
4 Vishwakarma Institute of Technology Assistant Professor 18-Sep-2023 - 2

Professional Contribution :

  1. Custodian and Senior Supervisor - BACKLOG EXAM SEM- I - DECEMBER - 2025

  2. Training Coordinator - FUEL-Capgemini training program.

  3. Custodian and Senior Supervisor - Re-Exam SEM-II May 2025

  4. Internship Coordinator

  5. Feedback Coordinator

  6. ISO Coordinator

  7. Project and Placement Coordinator

  8. Registration and ERP Coordinator

  9. Student Club Incharge - Artificial Intelligence & Machine Learning Student Society (AIMSS)


International Journal:

  1. AI-Driven Agriculture: Improving Cotton Farming Through Transfer Learning-Based Disease Detection and Classification ,Cureus Journal of Computer Science,125

International Conference:

  1. An Improved edge detection in CT images by disk structuring element ,2 nd International Conference on Data Mining and Information Security (ICDMIS 2025) held on 7th - 8th October 2025.,125
  2. Harmonizing Hindi Horizons: Assessing Transformer Variants for News Translation and Abstraction ,9th International Conference on Control Communication, Computing and Automation,125

Book Chapter:

  1. INDUSTRY 5.0 for SOCIETY 5.0: Roadmap ahead ,null,125


  1. Secured 3rd position in the Yogasana Competition

Research Grant / Funded Projects :

  1. Orchard-DryWise for Apple & Fruit Drying
  2. “Early Detection of Latent Nutrient Deficiencies in Crops Using Multimodal Fusion of RGB and Hyperspectral Images with Attention-Based Deep Learning,
  3. Business Billing and Inventory Management
  4. AI-Based Crop Recommendation Software for Farmers
  5. Renewable Energy Monitoring System for Microgrid Hardware
  6. AI-Based Farmer Query Support and Advisory System
  7. Deep Learning Approaches for Intelligent Analysis of IIoT Data
  8. RAG Based chatbot for Enterprise support
  9. Valley view - Booking and Administration system

Patents :

  1. A REAL-TIME DEEP LEARNING FRAMEWORK FOR AUTOMATED MALWARE DETECTION AND ANALYSIS WITH DYNAMIC ACTION THRESHOLDING FOR CYBERSECURITY PROFESSIONALS
  2. A SMART AI-POWERED PERSONAL FINANCE ASSISTANT WITH INTEGRATED BEHAVIORAL ANALYTICS AND PREDICTIVE FINANCIAL MANAGEMENT SYSTEM



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