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 : 11 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 20-Jan-2022 20-Jan-2023 1
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. Placement Coordinator

  8. Registration Coordinator

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

  10. Gandharv- 2026- VIT Kondhwa

  11. Parents Teacher Meet

  12. Passing out ceremony

  13. ERP Coordinator

  14. Alumni and Outreach Coordinator

  15. Project Coordinator

  16. Class Teacher

  17. Discipline Committee

  18. IQAC coordinator

  19. Exam Coordinator


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Generative AI for Academia To provide participants with practical and theoretical knowledge of Generative AI technologies and their applications in academic environments. The FDP will focus on AI tools, prompt engineering, content generation, research assistance, ethical considerations, and AI-driven educational innovation. FDP Participated 20-Apr-2026 25-Apr-2026
2 One week online FDP on Integrating Machine learning and AI for scalable IoT solutions To provide participants with in-depth knowledge of integrating AI and ML techniques into IoT ecosystems for building scalable, efficient, and intelligent solutions across various application domains such as smart healthcare, agriculture, smart cities, industrial automation, cybersecurity, transportation, and environmental monitoring. FDP Participated 13-Apr-2026 17-Apr-2026
3 Natural Language Processing Use dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete & identify part-of-speech tags for words. MOOC Participated 07-Apr-2026 15-May-2026
4 Artificial Intelligence in the era of Agents and Automation To provide educators, researchers, and industry professionals with comprehensive knowledge of emerging AI technologies that are transforming modern industries and academic research. The program focuses on the evolution of Artificial Intelligence from traditional machine learning systems to intelligent AI agents capable of autonomous decision-making, reasoning, planning, and automation. FDP Participated 30-Mar-2026 03-Apr-2026
5 One week online FDP on Cyber Security and Digital ethics for global safety To create awareness and strengthen knowledge about emerging cyber threats, secure digital practices, and ethical responsibilities in the modern technological world. FDP Participated 23-Feb-2026 27-Feb-2026
6 Modern Agile Principles for Transforming Educational Practices To enhance understanding of Agile software development, CI/CD pipelines, and industryaligned practices. To develop competency in Big Data tools and their role in educational innovation. To provide hands-on exposure to Selenium and automation techniques relevant to academic projects. To explore AI-driven tools for improving academic workflows, curriculum design, and student evaluation. FDP Participated 08-Dec-2025 12-Dec-2025
7 Agentic AI This faculty industry training program on Agentic AI provides faculty with practical, industry focused knowledge from Vodafone Intelligent solutions (VOIS) Industry Training Participated 01-Dec-2025 05-Dec-2025
8 FDP on AI for Sustainable Development Goals VIT in association with IEEE Pune Section and IEEE CT Soc. The program aimed to enhance awareness, skills and innovative practices in AI towards achieving sustainable goals. FDP Participated 01-Dec-2025 05-Dec-2025
9 FDP on RECENT TRENDS IN COMPUTATION Guide learners through areas like mathematical modeling, cybersecurity, and intelligent systems. Support researchers in identifying new opportunities for impactful local and global studies. FDP Participated 15-Sep-2025 19-Sep-2025
10 Recent Advancements in AI & ML Introduction & Emerging Trends in AI & ML Deep Learning & Neural Networks AI in Natural Language Processing (NLP) Explainable AI (XAI) & Responsible AI Future Directions: AI with Edge, Quantum, and AutoML FDP Participated 30-Jun-2025 04-Jul-2025

Book Chapter:

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

International Conference:

  1. Harmonizing Hindi Horizons: Assessing Transformer Variants for News Translation and Abstraction ,9th International Conference on Control Communication, Computing and Automation,125
  2. 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
  3. Enhancing AI Chatbot Responsiveness Through Design of a Multimodal Emotion Detection ,2026 International Conference on Visual Analytics and Data Visualization,126
  4. Contextual Filler Word Detection Using BERT and Prosodic Features for Real-Time Speech Fluency Enhancement ,2025 9th International Conference on Computing, Communication, Control and Automation (ICCCBEA),125

International Journal:

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


  1. Secured 3rd position in the Yogasana Competition

Research Grant / Funded Projects :

  1. “Early Detection of Latent Nutrient Deficiencies in Crops Using Multimodal Fusion of RGB and Hyperspectral Images with Attention-Based Deep Learning,
  2. Business Billing and Inventory Management
  3. AI-Based Crop Recommendation Software for Farmers
  4. Renewable Energy Monitoring System for Microgrid Hardware
  5. AI-Based Farmer Query Support and Advisory System
  6. Deep Learning Approaches for Intelligent Analysis of IIoT Data
  7. RAG Based chatbot for Enterprise support
  8. Valley view - Booking and Administration system
  9. Finetuning Tool - llm-webui or similar: This involves Llama-3.1-8B with continued pre-training (CPT) plus supervised fine-tuning for GenAI regulatory data.
  10. Explainable Deep Learning Framework for Early Stage Ransomware Detection using Behavioral Feature Engineering and Edge-Based Threat Intelligence
  11. Estimation & Forecasting of Productivity Index
  12. Multimodal LLM Driven Secure Code Synthesis and Explainable Debugging Framework with Static and Dynamic Analysis Integration
  13. AI-Powered Calling Agent with Conversational Learning
  14. Looker Studio dashboard
  15. Blockchain-Enabled Zero Trust Role Based Access Control Framework with Attribute Based Policy Learning for Enterprise Applications
  16. Multilingual Context Preserving with Knowledge Distillation for Real Time News Summarization using Retrieval Augmented Large Language Models
  17. Execution Simulation and Replay Service
  18. Federated Digital Twin Framework for Multi-Farm Data Sharing and IoB-Based Farmer Behavior Analysis for Productivity Improvement

Patents :

  1. A SMART AI-POWERED PERSONAL FINANCE ASSISTANT WITH INTEGRATED BEHAVIORAL ANALYTICS AND PREDICTIVE FINANCIAL MANAGEMENT SYSTEM
  2. Cloud-Enabled Dynamic Pricing Optimization System for Retailers
  3. A FEDERATED LEARNING BASED INTELLIGENT DISTRIBUTED MODEL TRAINING SYSTEM
  4. AN AI-ENHANCED EMOTIONAL SUPPORT COMPANION FOR MENTAL HEALTH
  5. A MALWARE DETECTION AND ANALYSIS SYSTEM USING DEEP LEARNING
  6. AN AI-DRIVEN SYSTEM FOR REAL-TIME MONITORING AND PREDICTIVE FAILURE ANALYSIS OF INDUSTRIAL EQUIPMENT
  7. A CAPTCHA REPLACEMENT SYSTEM USING BEHAVIORAL AND ENVIRONMENTAL DATA
  8. AN AI-POWERED PERSONAL FINANCE ASSISTANT WITH INTEGRATED BEHAVIORAL ANALYTICS AND PREDICTIVE FINANCIAL MANAGEMENT SYSTEM
  9. CHEQUE AUTHENTICATION SYSTEM USING OCR AND NEURAL NETWORK
  10. AN AI-INTEGRATED SYSTEM FOR DIGITAL TRANSFORMATION OF SMALL BUSINESSES THROUGH STUDENT-LED PROJECT COLLABORATION



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