Jisha Tinsu

@tcetmumbai.in

Assistant Professor, Department of Information Technology
Thakur College of Engineering & Technology

Jisha Tinsu

EDUCATION

Master Of Engineering from St. Francis Institute of Technology

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Science, Computer Science Applications, Artificial Intelligence
3

Scopus Publications

49

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Hybrid Three Branch CNN and Transformer with Skeleton Based Attentions Network for Change Detection in Remote Sensing Images
    Namdeo B. Badhe, Vijaykumar P. Yele, Rahul P. Neve, Jisha Tinsu
    Sensing and Imaging, 2025
  • A Decentralized Mail Using Blockchain
    Sanmeet Singh Vadhava, Suyog Dhadwe, Aditya Katkar, Shubhangi Ghorkhana, Jisha Tinsu
    2023 4th International Conference for Emerging Technology Incet 2023, 2023
    Currently, email services have become a global standard for official communication and conducting business negotiations. Traditional email systems rely on centralized servers to provide their services. The attacking central server sends confidential messages and personal information to the attacker. To that end, this white paper uses blockchain technology which uses Proof-of-Work and Proof-of-Stack consensus mechanisms to create a decentralized email system with trust, accountability, and scalability.
  • Mental Health and Personality Determination using Machine Learning
    Kimaya Raut, Jui Patil, Siddhi Wade, Jisha Tinsu
    7th International Conference on Communication and Electronics Systems Icces 2022 Proceedings, 2022
    The purpose of this project is to use textual comments collected from users via a web application to predict their mental health and personality. Data encoding was performed using Label Encoder and Count Vectorizer. Machine learning models like Logistic Regression, SVM, Random Forest, Naive Bayes, and KNeighbors Classifier were built and models were trained on the dataset, the machine learning model which has the highest accuracy score has been selected. The predicted accuracy given by k fold Cross-Validation shows that the XGBoost classifier gives the best accuracy of 67.68 percent for personality prediction and predicts 16 distinct personality types across four axes based on their introversion, intuition, reasoning, and perceived abilities, even when tested on the same dataset. Whereas Logistic Regression predicts mental health with the maximum accuracy of 96.05 percent.

RECENT SCHOLAR PUBLICATIONS

  • Fast and Efficient Real-Time Banking Fraud Detection Using Stream-Based Algorithms
    JT Dr. Neha Patwari, Dr. Neeta Patil, Mary Margarat Neela
    International Journal For Multidisciplinary Research 7 (6) , 2025
    2025
  • Hybrid three branch CNN and transformer with skeleton based attentions network for change detection in remote sensing images
    NB Badhe, VP Yele, RP Neve, J Tinsu
    Sensing and Imaging 26 (1), 109 , 2025
    2025
    Citations: 2
  • Sentiment Aware and Explainable AI Based Cross Domain Recommendation System
    JT 3. M. Linkesh, M. Ghorpade
    International Journal of Advanced Research in Computer and Communication … , 2025
    2025
  • Attrition Prediction in Organizations: A Proactive Workforce Management Approach using Machine Learning
    JT S. Parab, k. Sharma, A. Viswakarama
    International Journal for Research in Applied Science and Engineering … , 2025
    2025
  • A decentralized mail using blockchain
    SS Vadhava, S Dhadwe, A Katkar, S Ghorkhana, J Tinsu
    2023 4th international conference for emerging technology (INCET), 1-5 , 2023
    2023
    Citations: 1
  • Mental health and personality determination using machine learning
    K Raut, J Patil, S Wade, J Tinsu
    2022 7th International Conference on Communication and Electronics Systems … , 2022
    2022
    Citations: 9
  • Sentiment Detection of User Instagram Captions using VADER AND Flutter.
    JT Sannidhi Shetty, Aishwarya Bhangale, Celsia Nadar
    Samriddhi 14 (2), 229-239 , 2022
    2022
  • Transparent charity system using smart contracts on Ethereum using blockchain
    PD Patil, DJ Mhatre, NH Gharat, J Tinsu
    International Journal for Research in Applied Science & Engineering … , 2022
    2022
    Citations: 8
  • Personalized Recommendation System For Shopping Using Collaborative Filtering And Machine Learning
    PAM Jisha Tinsu, Krutika K. Patil, Ashlesha J. Raut
    GIS SCIENCE JOURNAL 8 (4), 1119-1128 , 2021
    2021
  • Calorie Estimation, Diet And Workout Recommendation System For Reducing Obesity
    DGM Jisha Tinsu, Himali Trivedi, Sadhana Tripathi
    GIS SCIENCE JOURNAL 8 (4), 1616-1622 , 2021
    2021
  • E-PDS Using Smart RFID Card & Two Factor Authentication
    ARY Jisha Tinsu, Pratik P. Raul, Aniruddha R. Tayade
    GIS SCIENCE JOURNAL 8 (3), 1749-1754 , 2021
    2021
  • Improved fraud detection in e-commerce transactions
    J Shaji, D Panchal
    2017 2nd International Conference on Communication Systems, Computing and IT … , 2017
    2017
    Citations: 29
  • Fraud detection in e-commerce transactions
    D Panchal, J Shaji
    IEEE , 2017
    2017

MOST CITED SCHOLAR PUBLICATIONS

  • Improved fraud detection in e-commerce transactions
    J Shaji, D Panchal
    2017 2nd International Conference on Communication Systems, Computing and IT … , 2017
    2017
    Citations: 29
  • Mental health and personality determination using machine learning
    K Raut, J Patil, S Wade, J Tinsu
    2022 7th International Conference on Communication and Electronics Systems … , 2022
    2022
    Citations: 9
  • Transparent charity system using smart contracts on Ethereum using blockchain
    PD Patil, DJ Mhatre, NH Gharat, J Tinsu
    International Journal for Research in Applied Science & Engineering … , 2022
    2022
    Citations: 8
  • Hybrid three branch CNN and transformer with skeleton based attentions network for change detection in remote sensing images
    NB Badhe, VP Yele, RP Neve, J Tinsu
    Sensing and Imaging 26 (1), 109 , 2025
    2025
    Citations: 2
  • A decentralized mail using blockchain
    SS Vadhava, S Dhadwe, A Katkar, S Ghorkhana, J Tinsu
    2023 4th international conference for emerging technology (INCET), 1-5 , 2023
    2023
    Citations: 1
  • Fast and Efficient Real-Time Banking Fraud Detection Using Stream-Based Algorithms
    JT Dr. Neha Patwari, Dr. Neeta Patil, Mary Margarat Neela
    International Journal For Multidisciplinary Research 7 (6) , 2025
    2025
  • Sentiment Aware and Explainable AI Based Cross Domain Recommendation System
    JT 3. M. Linkesh, M. Ghorpade
    International Journal of Advanced Research in Computer and Communication … , 2025
    2025
  • Attrition Prediction in Organizations: A Proactive Workforce Management Approach using Machine Learning
    JT S. Parab, k. Sharma, A. Viswakarama
    International Journal for Research in Applied Science and Engineering … , 2025
    2025
  • Sentiment Detection of User Instagram Captions using VADER AND Flutter.
    JT Sannidhi Shetty, Aishwarya Bhangale, Celsia Nadar
    Samriddhi 14 (2), 229-239 , 2022
    2022
  • Personalized Recommendation System For Shopping Using Collaborative Filtering And Machine Learning
    PAM Jisha Tinsu, Krutika K. Patil, Ashlesha J. Raut
    GIS SCIENCE JOURNAL 8 (4), 1119-1128 , 2021
    2021
  • Calorie Estimation, Diet And Workout Recommendation System For Reducing Obesity
    DGM Jisha Tinsu, Himali Trivedi, Sadhana Tripathi
    GIS SCIENCE JOURNAL 8 (4), 1616-1622 , 2021
    2021
  • E-PDS Using Smart RFID Card & Two Factor Authentication
    ARY Jisha Tinsu, Pratik P. Raul, Aniruddha R. Tayade
    GIS SCIENCE JOURNAL 8 (3), 1749-1754 , 2021
    2021
  • Fraud detection in e-commerce transactions
    D Panchal, J Shaji
    IEEE , 2017
    2017