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Home | PROF. (SMT.) JYOTI PRAMOD KANJALKAR-KULKARNI

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PROF. (SMT.) JYOTI PRAMOD KANJALKAR-KULKARNI

Designation:

Assistant Professor

Department:

Computer Science and Engineering(Artificial Engineering & Machine Learning))

Email :

jyoti.kanjalkar@vit.edu

Phone :

7588290710

Educational Qualification :

University Degree Year
K L University Phd 2021
Savitribai Phule Pune University ME 2010
Babasaheb Bhimrao Ambedkar University BE 1998


Date of Joining : 16/01/2022


Experience : 0 year:3 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 VIT Assistant Professor 17-Jan-2022 27-Apr-2022 0
2 VIT Assistant Professor 25-May-2022 25-May-2022 0

Professional Contribution :

  1. TYCS-A class teacher

  2. Internship and training and placement coordinator

  3. NBA criteria 3 departmental coordinator

  4. SYCS-D

  5. training and placement and internship

  6. criteria-3 NBA coordinator

  7. SYCS-A for sem-II

  8. NAAC 2023 criteria 3 Co-Cordinator

  9. NBA Criteria 3

  10. faculty coordinator for Google Cloud career readiness program

  11. NAAC Coordinator of Criteria 5

  12. CSE(AIML)


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Generative AI and ChatGPT organized by AISSMS IOIT FDP Participated 15-Jan-2024 19-Jan-2024
2 FDP on AI and ML Organized by MCCIA and TCS FDP Participated 16-Dec-2023 20-Dec-2023
3 Recent Trends in Computation Organized by Computer Engg Department, VIT, Pune FDP Given Industry lecture 09-Dec-2023 13-Dec-2023
4 Empowering Industry 4.0: Safeguarding the Revolution with Cybersecurity and Blockchain a ATAL FDP FDP Participated 04-Dec-2023 09-Dec-2023
5 Deep Learning Application development, Tools and Research Organized by VIIT, pune FDP Participated 28-Feb-2023 04-Mar-2023
6 IoT based Predictive Analytics using Artificial Intelligence ATAL FDP FDP Participated 13-Feb-2023 24-Mar-2023
7 How to search and write research papers delivered seminar to FY students Seminar Participated 27-Dec-2022 27-Dec-2022
8 attended RTIC, 2022 6 days FDP at VIT, Pune FDP Attended Industry lecture 18-Jul-2022 23-Jul-2022
9 RTIC 2022 Delivered 2 hrs session on Machine Learning FDP Participated 18-Jul-2022 23-Jul-2022
10 Recent Trends in Computation 2022 Worked as a coordinator for organizing international FDP titled "Recent Trends in Computation 2022" FDP Coordinator 18-Jul-2022 23-Jul-2022

International Journal:

  1. Vegetation analysis of RGB multispectral and hyperspectral images using python ,GIS Science Journal,122
  2. A Novel System for AYUSH Healthcare Services using Classification and Regression ,International Journal on Recent and Innovation Trends in Computing and Communication,122
  3. Meta-heuristic Black Widow Optimization Algorithm for Solving M Connected Coverage in Internet of Things ,International Journal of Intelligent Systems and Applications in Engineering,124
  4. A supervised Hybrid DNN for Real Time Intrusion Detection in Firewalls ,Journal of Electrical Systems ,124
  5. Vehicle Booking System ,Mukt Shabd Journal UGC CARE LIST GROUP – I JOURNAL,122

National Conference:

  1. Certificate Authentication and Verification Using Secured Blockchain Approach for Visually Impaired People ,7th International Conference on Inventive Communication and Computational Technologies ,123

International Conference:

  1. Analysis of Machine Learning Algorithms for COVID Detection Using Deep Learning ,ICDMAI 2023: 7th International Conference on Data Management, Analytics ,122
  2. IoT Based Pothole Detection and Analysis for Road Quality Assessment and Human Safety Using Machine Learning Approach ,2nd International Conference on Intelligent Systems and Applications (ICISA 2023),123
  3. IoT based pathole detection nd analysis for road quality assessment and human saftey using ML ,ICISA,123
  4. Smart Women Safety Solution with Alert System Using Machine Learning Approach ,MDCWC2023,123
  5. Budgetio - A Budget and Expense Tracking System ,INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (IJSREM),122

Book Chapter:

  1. Interactive Virtual Consultation and Disease Diagnosis Using Machine Learning Approach ,Recent Developments in Machine and Human Intelligence,123
  2. Block Over Flow on Frequently asked questions using Block Chain, ,Data-Driven Intelligent Business Sustainability.,123
  3. Wise Apply on A Machine Learning based College Recommendation Data System ,Data-Driven Intelligent Business Sustainability,123


  1. Recognition for patent granted

Research Grant / Funded Projects :

  1. DEPTH ESTIMATION OF STEREOSCOPIC IMAGES IN SCENE ANALYSIS USING GPGPU
  2. Formalization of Meta-model semantics and grammar for Enterprise Systems Modelling with exploratory non-functional properties elaboration
  3. Diabetes Association with Oral Cancer- an Enigmatic Correlation

Patents :

  1. Two Stage Automatic Macro and Micro floating plastic-debris water filtering system
  2. system and method for controlling projection of data packets of remotely controlling device
  3. A REAL-TIME GARBAGE TRUCK ALERT SYSTEM
  4. -STAGE AUTOMATIC MACRO AND MICRO FLOATING PLASTIC-DEBRIS WATER
  5. A REAL TIME GARBAGE TRUCK ALERT SYSTEM
  6. SYSTEM FOR DOOR SAFETY USING ARTIFICIAL INTELLIGENCE



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