Faculty Profile
Home | PROF. (SMT.) SURABHI SANJIV KAKADE

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PROF. (SMT.) SURABHI SANJIV KAKADE

Designation:

Assistant Professor

Department:

Artificial intelligence and Data science

Email :

surabhi.kakade@vit.edu

Phone :

9901983524

Educational Qualification :

University Degree Year
Dr. Vishwanath Karad MIT World Peace University Phd 2024
Visvesvaraya Technological University ME 2017
VTU BE 2025


Date of Joining : 17/01/2021


Total Experience : 6 year:10 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 BMSCE BANGALORE - - 2
2 VIT PUNE assistant professor 18-Jan-2021 25-May-2022 4
3 NA NA 25-May-2022 25-May-2022 0

Professional Contribution :

  1. class teacher

  2. Admin Responsibilities

  3. Passing Out Ceremony duty

  4. admission duty

  5. class teacher

  6. FDP organizatin

  7. Placement/internship/IAB coordinator

  8. Class teacher


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 "Enhancing Teaching Learning Pedagogy Using Hands-On ICT Tools." generative ai tools FDP Participated 22-Apr-2024 27-Apr-2024
2 Build Your Generative AI Productivity Skills with Microsoft and LinkedIn Build Your Generative AI Productivity Skills with Microsoft and LinkedIn Other Participated 21-Mar-2024 22-Mar-2024
3 Career Essentials in Generative AI by Microsoft and LinkedIn Career Essentials in Generative AI byMicrosoft and LinkedIn Other Participated 11-Mar-2024 12-Mar-2024
4 ''Emerging Technological Trends in Industry'' ''Emerging Technological Trends in Industry'' FDP Participated 11-Mar-2024 15-Mar-2024
5 “Empowering Educators : Advancement in Computing Pedagogy” “Empowering Educators : Advancement in Computing Pedagogy” FDP Coordinator 12-Feb-2024 17-Feb-2024
6 Artificial Intelligence and Generative Models" Artificial Intelligence and Generative Models" FDP Participated 15-Jan-2024 19-Jan-2024
7 Recent Advances in Data Science, Data Analytics and Cyber Security FDP FDP Participated 01-Mar-2023 05-Mar-2023

International Journal:

  1. Estimating the Efficacy of Efficient Machine Learning Classifiers for Twitter Sentiments Analysis ,International Research Journal of Engineering and Technology (IRJET),122

International Conference:

  1. Performance Analysis of OLSR to Consider Link Quality of OLSR-ETX/MD/ML in Wireless Mesh Networks ,Conference,117
  2. SolarSense: Enhancing Energy Efficiency through IoT-Enabled Solar Tracking ,IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2024),124
  3. From Manufacturer to Consumer: Securing Supply Chains With Ethereum-Based Blockchain Solutions ,International conference on recent trends in engineering and technology,124
  4. A Comparative Study of Techniques for Network Anomaly Detection ,International Conference on Information and Communication Systems,124
  5. Autonomous Solar Panel Cleaning System with Smart IoT Connectivity ,International Conference on Information and Communication Systems,125
  6. DYNAMIC WIRELESS CHARGING SYSTEM FOR EV VEHICLES ,the International Conference on Inventive Computation Technologies (ICICT-2025),125


  1. ATAL FDP

Research Grant / Funded Projects :

  1. Lead Generation

Patents :

  1. DEVELOPMENT OF AN ARTIFICIAL NEURON MODEL WITH AUTONOMOUS WI-FI MICROCONTROLLER WITH M2M COMMUNICATION FOR IOT
  2. AN AUTOMATIC IRRIGATION SYSTEM
  3. A SYSTEM FOR WATER MANAGEMENT
  4. A NOVEL METHOD FOR TESTING COVID - 19 INFECTION RATE
  5. A SYSTEM FOR VOICE INITIATED HANDLING
  6. AN ANTI THEFT ALARM SYSTEM
  7. AN ADVANCED LANE DETECTION SYSTEM FOR SELF-DRIVING CARS
  8. ZEBRA CROSSING SAFETY DEVICE
  9. HUMAN RESOURCES MANAGEMENT THROUGH HR ANALYTICS AND ARTIFICIAL INTELLIGENCE
  10. QUANTUMFLOW: REAL-TIME ALGORITHMIC TRADING ENGINE WITH LSTM, MONTE CARLO SIMULATION, AND TECHNICAL INDICATORS DEPLOYED ON EMBEDDED HARDWARE



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