Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | DR. VIDYA SHRIMANT GAIKWAD

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DR. VIDYA SHRIMANT GAIKWAD

Designation:

Assistant Professor

Department:

Computer Engineering

Email :

vidya.gaikwad@vit.edu

Phone :

9359889604

 



Personal

Educational Qualification :

University Degree Year
K L University Phd 2025
Savitribai Phule Pune University ME 2010
Shivaji University BE 2007


Date of Joining : 05/07/2009


Total Experience : 16 year:2 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 VISHWAKARMA INSTITUTE OF TECHNOLOGY ASSISTANT PROFESSOR - - 16

Professional Contribution :

  1. NBA CRITERIA-3 INCHARGE

  2. ISO CO-coordinator

  3. Faculty recruitment process


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Deep Learning to generative AI: Building intelligent text and image models FDP Participated 23-Feb-2026 04-Mar-2026
2 Recent Trends in Computation FDP Participated 15-Sep-2025 19-Sep-2025
3 Clean Energy Technologies for Sustainable Development Clean energy technologies are systems and innovations that produce energy with minimal environmental impact while supporting long-term economic and social development. FDP Participated 23-Jun-2025 28-Jun-2025
4 Google AI Essentials completed all tracks MOOC Participated - -

International Conference:

  1. Prompt Genomes: Adaptive Evolution of Hierarchical Instructions with Staged Evaluation ,2026 13th International Conference on Computing for Sustainable Global Development (INDIACom),126
  2. LexSaksham: AI-enabled Context-Specific Contract Management Platform ,2026 13th International Conference on Computing for Sustainable Global Development (INDIACom),126

International Journal:

  1. Real-Time Keylogging And System Monitoring For Device Activity Auditing ,IOSR Journal of Computer Engineering (IOSR-JCE),125
  2. Developing secure communication protocols using elliptic curve cryptography for IoT devices ,Journal of Discrete Mathematical Sciences and Cryptography,125


  1. SHINING STAR

Research Grant / Funded Projects :

  1. Lightweight Cryptography for Cloud IoT Framework in Pharmaceutical Supply Chain
  2. LexSaksham: AI-enabled Context-Specific Contract Management Platform
  3. QuantPulse – Agentic Reasoning for Real-time Markets
  4. Adaptive Environmental Control System for IoT-Based Vertical Gardens

Patents :

  1. AN AI-ASSISTED EDUCATION SYSTEM FOR MULTI-TYPE CONTENT PROCESSING AND LEARNING PRODUCTS
  2. A REAL-TIME IMAGE CLASSIFICATION BASED SMART THEATER SPOTLIGHT SYSTEM FOR ACTOR RECOGNITION AND SCENE ADAPTATION
  3. AN AI-POWERED SYSTEM FOR ADVANCED HIRING AND SKILL ENHANCEMENT
  4. AN AI BASED OUTFIT RECOMMENDATION SYSTEM
  5. A BLOCKCHAIN AND SMART CONTRACT SYSTEM FOR DECENTRALIZED MICROFINANCE
  6. AN AI-BASED PSYCHOMETRIC EVALUATION SYSTEM FOR PERSONALITY INSIGHTS USING TEXT AND VIDEO DATA
  7. AN INTELLIGENT SYSTEM FOR TRANSLATING INDIAN SIGN LANGUAGE INTO SPEECH AND TEXT
  8. AN AI BASED DYNAMIC TRAFFIC LIGHT SIGNAL CONTROL SYSTEM FOR HEAVY TRAFFIC MANAGEMENT
  9. A BLOCKCHAIN TECHNOLOGY AND ARTIFICIAL INTELLIGENCE BASED DIGITAL VERIFICATION SYSTEM
  10. AN AI BASED PLANT DISEASE DETECTION SYSTEM IN HYDROPONIC AGRICULTURE METHOD
  11. AN AUGMENTED REALITY-BASED SYSTEM FOR DIGITALIZATION OF PRODUCT MANUALS
  12. A DYNAMIC EXAM MASTERY SYSTEM FOR TAILORED LEARNING EXPERIENCE
  13. AN AI ENABLED CONTEXT SPECIFIC CONTRACT MANAGEMENT SYSTEM
  14. A SYSTEM FOR AUTOMATED EVOLUTIONARY OPTIMIZATION OF HIERARCHICAL PROMPTS FOR LANGUAGE MODELS
  15. A REAL-TIME GARBAGE DETECTION AND GEOSPATIAL VISUALIZATION SYSTEM
  16. AN INTELLIGENT SYSTEM FOR CROSS-DOCUMENT LEGAL ANALYSIS USING HYBRID RAG
  17. A HYBRID MATHEMATICAL ANIMATION SYSTEM USING PROPERTY-BASED OBJECT IDENTIFICATION AND REAL-TIME SYNCHRONIZATION
  18. A CLOUD CONNECTED MULTI SENSOR PREDICTIVE MAINTENANCE SYSTEM FOR DC MOTORS
  19. A PLANT DISEASE DETECTION AND AUTOMATED FERTILIZER PREPARATION SYSTEM
  20. BLOCKCHAIN-BASED VOTING SYSTEM FOR TAMPER-PROOF ELECTIONS
  21. ONLINE CONDITION MONITORING SYSTEM FOR PHOTOVOLTAIC SOLAR PANELS
  22. VIRTUAL POWER ELECTRONICS MODULES FOR SOLAR THERMAL MODELING USING NEURAL NETWORKSA



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