Faculty Profile
Home | PROF. (SMT.) ZARINABEGAM KASIMALI MUNDARGI

Image

PROF. (SMT.) ZARINABEGAM KASIMALI MUNDARGI

Designation:

Assistant Professor

Department:

Artificial intelligence and Data science

Email :

zarinabegam.mundargi@vit.edu

Phone :

9538534140

Educational Qualification :

University Degree Year
Visvesvaraya Technological University Phd 2021
Visvesvaraya Technological University Mtech 2014


Date of Joining : 19/05/2022


Experience : 10 year:1 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 Anjuman-E-Islam Polytechnic Lecturer 15-Jul-2009 31-Aug-2011 2
2 SECAB Institute of Engineering and technology Assistant Professor 13-Nov-2014 31-Jan-2022 7
3 Vishwakarma Institute of Technology Assistant Professor 20-May-2022 - 0

Professional Contribution :

  1. Two week FDP was organised To give the participants a good insight into Predictive Analytics and its potentially enormous real-world applications . To explore research areas of Predictive Analytics, Healthcare, Business, Marketing etc.

  2. For the Academic Year 2023-24-SEM-I was the class teacher for AI

  3. Appointed as Assistant head Academics for the AY 2023-24 of the AI

  4. working as assistant head academics in AI

  5. HCL Volt MX program is an initiative of AICTE in collaboration with HCL.Around 30 students from Third Year AI

  6. Department coordinator for creteria-1 and creteria-2


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Deep Learning Application Development, Tools and Research The FDP was on Deep learning included 10 session.The topics covered were 1. Introduction to deep learning 2. Applications of DL 3.Data Preparation for DL 4. Probability and statistics 5. NLP 6. DL for OCR 7. Hands on Handwritten digit Recognition 8. Intuitive Language model 9. Use Cases 10. Role of DL in Ad-hoc networks. All the sessions were handled by eminent speakers from industry and academia. FDP Participated 28-Feb-2023 04-Mar-2023
2 IoT based Predictive Analytics using Artificial Intelligence The FDP was sponsored by ATAL academy for two weeks and the topics like predictive analytics in the field of health care, Business and marketing were covered FDP organizing member 13-Feb-2023 24-Mar-2023

International Journal:

  1. Prediction of Blight ticket Compliance using different Regression and Classification Models ,Artificial Intelligence and sustainable computing for smart cities,124
  2. Drivers's Safety measures: A blindspot and drowsiness detection system using IoT components and Python library ,Hinweis second international conference on Recent trends in machine learning and image processing(MLIP),124
  3. Student performance Analysis ,NA,124
  4. Deep Reinforcement Learning and Generative Adversarial Networks for Portfolio Optimization: An Innovative Approach to Enhance Investment Strategies ,International Journal on Recent and Innovation Trends in Computing and Communication,124
  5. JPX Japan Stock Exchange Prediction ,International Journal of Scientific Research in Engineering and Management,122
  6. Statistical Tests for Comparing Machine Learning Algorithms ,International Journal for Research in Applied Science ,122
  7. Classmeet: A Student Friendly Video Calling Web App ,International Journal of Innovative Research,123
  8. Floor Cleaning Robot using Ardino-Uno ,NA,124

International Conference:

  1. An optimized approach to improve health and strategy of competetion of horse using Machine Learning ,Artificial Intelligence and sustainable computing for smart cities,123
  2. PrePy - A customize library for data preprocessing in python ,International Conference for Advancement in Technology,123
  3. A Decentralized Blockchain-based Application for Fake Product Identification ,International Conference on Computational Intelligence and XAI,123
  4. Musothea-Music Therapy App-An Interface between Patients and Therapits ,ICCET-,123
  5. Revoutionalizing Crypto Trading with Web3 ,International Conference on contemporary engineering and technology 2023 (ICCET)ICCET 2023,123
  6. Trafic Control and Alternate Path Display using Dijkstra and Floyd Warshal ,ICFTIT-,123
  7. Emathetic Conversations in Mental Health Fine Tuning LLMs for Supportive AI interactions ,International Conference on Data Science, Machine Learning and Applications ,123
  8. Comparative study of stratified K-fold and K-fold cross validation techniques in cerebral stroke prediction imbalanced dataset:A comprehensive analysis and optimization approach ,Hinweis second international conference on Recent trends in machine learning and image processing(MLIP),123
  9. Quora Question Duplication Detection: An ML Approach for Identifying Semantically Equivalent Questions ,International conference on Artificial Intelligence Sumit Towards smart sustainability society ,124
  10. Diabetes prediction using Logistic Regression ,NA,123
  11. Revolutionizing crypto trading with Web ,ICCCE-2024,123
  12. Admission process CHATBOT-ADPRO ,ICCICN ,124
  13. Bank Fixed Term deposit using Bayesian Logistic Regression ,Internation Conference in Advancement and Technology,123
  14. Plotplay: An Automated Data Visualization Website using Python and Plotly ,International Conference for Advancement in Technology,123
  15. An Aviation Industry Recommender System using K-nearest Neighbour and Cosine Similarity ,International Conference for Advancement in Technology,123
  16. CogniVisio: Fusion Image Classifier ,IEEE IATMSI ,123

Book Chapter:

  1. Epilepsy Detection with different ML Models using EEG Signals ,International Conference on Intelligent th th Computing ,123


  1. Young Researcher of the Year

Patents :

  1. A System and method for the development of advanced machine learning and its impact on digital market



Copyright © Vishwakarma Institute of Technology,Pune 2024 All rights reserved.

[Best viewed in IE 10+, Firefox, Chrome, Safari, Opera.]

:::| powered by VGESPL |:::