Nisha Wandile Kimmatkar

@jspmrscoe.edu.in

Associate Professor in CSBS
JSPM's Rajarshi Shahu College of Engineering, Tathawade, Pune

Nisha Wandile Kimmatkar


                     Download Compact PDF  
https://researchid.co/nishawandile

EDUCATION

in Computer Science and Engineering
MA in Clinical Psychology

RESEARCH INTERESTS

Medical Signal Processing with AI and ML
19

Scopus Publications

135

Scholar Citations

5

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Enriching Brain Stroke Detection through A Hybrid Data Model
    Mitali Hemant Chaudhari, Nisha Wandile Kimmatkar, Girija A. Deshpande, Rutuja Gangadhar Khedkar
    International Journal of Engineering Trends and Technology, 2026
    The leading cause of brain stroke is the sudden blocking of blood flow to the brain through a blood vessel or due to damage to a blood vessel in the brain. More often, this brain stroke is the result of long-standing diseases that occur due to some evil habits of patients. These diseases are often measured as high blood pressure, diabetes, high cholesterol, smoking, and a sedentary lifestyle. Many deep learning models exist to detect the possibilities of brain stroke by considering the disease parameters. But only finger-counting techniques are available, which eventually consider the lifestyle of the people to predict the impact of a brain stroke. Hence, a multi-data hybrid model is required to evaluate the possibilities of causing a brain stroke by using the imagery dataset and statistical dataset. The proposed model initially trains the imagery brain stroke dataset using the channel boost convolutional neural network after boosting the channels to an absolute grayscale factor. On the other hand, the proposed model considers the statistical dataset for training using the LSTM model. Finally, the input image and the statistical data from the user are subjected to non-negative matrix factorization to obtain the results of brain stroke predictions. The obtained results are evaluated by the confusion matrix, which yields almost 98.12% accuracy, indicating the quality of our model.
  • AI-Powered Text Editor with Speech-to-Text Conversion for Handicapped Writers
    Nisha Wandile Kimmatkar, Seema Kedar, Jayesh Patil, Atharva Shinde, Prajakta Satav, Om Patil
    Lecture Notes in Networks and Systems, 2026
  • Innovative Structural Health Monitoring Using a Hybrid Intelligence Framework
    Girija A. Deshpande, Nisha Wandile Kimmatkar, Pavankumar Sonawane, Sakshi Paithane, Vaishali Dasharath Shinde, Ankita Avthankar
    Structural Design of Tall and Special Buildings, 2025
    The technique of examining and monitoring the state of infrastructure is known as structural health monitoring. Artificial intelligence (AI) is important in structural health monitoring (SHM) because it enables faster, more precise, and automated processing of data collected from sensors and other monitoring systems. In this study, we created and validated a unique artificial algae–based Boltzmann prediction system (AAbBPS) for SHM that can automatically evaluate structural member health. This research proposed new methodologies and methods for forecasting the fracture depth and damage index of a structure utilizing a novel Boltzmann prediction system. The structural member's properties are then tweaked to detect failures. In the last phase, the structural problems are categorized. In the end, AAbBPS stability was assessed utilizing performance metrics of accuracy and error rates. The present study provides an accuracy of 99.96%, an f ‐score of 99.91%, a recall of 99.98%, a precision of 99.94%, and an error rate of 0.3%.
  • Enriching Source Code Refactoring for Java Projects
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • A Thorough Examination of a Stroke Detection using Deep Learning Models
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Implementation of Insurance Fraud in Healthcare Industry using Blockchain Technology with AI
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Survey towards Blockchain-Based Healthcare Insurance Fraud Detection
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • A thorough Examination of a Software Effort Estimating Model based on Deep Learning
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • A Comprehensive Analysis of Deep Learning based Sentiment Analysis of Instagram Posts
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Ensemble Deep Learning Model to Evaluate Sentiments in Social media posts
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Ensembling of Deep Learning Models to Evaluate Software Effort Estimation
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Smart Ticketing for Modern Travel: An Optimized E-Ticketing System with QR Code Features
    Nisha Wandile, Harish Bendale, Shreyansh Bhagare, Karan Gurav, Sairaj Gujar
    2024 IEEE International Conference on Blockchain and Distributed Systems Security Icbds 2024, 2024
  • Blockchain-based Integration of Social Media and Music for Enhanced Privacy and Trust in a Decentralized Ecosystem
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Advanced EEG Signal Based Min to Mean Algorithm Approach for Human Emotion Taxonomy and Mental State Analysis
    Nisha Vishnnupant Kimmatkar, B. Vijaya Babu
    International Journal on Recent and Innovation Trends in Computing and Communication, 2022
  • Human Emotion Detection with Electroencephalography Signals and Accuracy Analysis Using Feature Fusion Techniques and a Multimodal Approach for Multiclass Classification
    N. V. Kimmatkar, B. Vijaya Babu
    Engineering Technology and Applied Science Research, 2022
  • The Study of Emotional Brain to Detect Emotions Using Brain EEG Signals and Improving Accuracy of Emotion Detection System Using Feature Selection Techniques
    Nisha Vishnupant Kimmatkar, Vijay Babu
    ACM International Conference Proceeding Series, 2022
  • Novel approach for emotion detection and stabilizing mental state by using machine learning techniques
    Nisha Vishnupant Kimmatkar, B. Vijaya Babu
    Computers, 2021
  • Human emotion classification from brain EEG signal using multimodal approach of classifier
    Nisha Vishnupant Kimmatkar, Vijaya B. Babu
    ACM International Conference Proceeding Series, 2018
  • Initial analysis of brain EEG signal for mental state detection of human being
    Nisha Vishnupant Kimmatkar, B. Vijaya Babu
    Proceedings International Conference on Trends in Electronics and Informatics Icei 2017, 2017

RECENT SCHOLAR PUBLICATIONS

  • Advanced EEG Signal Based Min to Mean Algorithm Approach For Human Emotion Taxonomy And Mental State Analysis
    BVB Nisha Vishnnupant Kimmatkar
    International Journal on Recent and Innovation Trends in Computing and … , 2022
    2022.0
  • Human emotion detection with electroencephalography signals and accuracy analysis using feature fusion techniques and a multimodal approach for multiclass classification
    NV Kimmatkar, BV Babu
    Engineering, Technology & Applied Science Research 12 (4), 9012-9017 , 2022
    2022.0
    Citations: 12
  • A Novel Approach to the Classification of Human Emotion and Analysis of Complete Mental State Using Brain EEG Signals
    N Kimmatkar, BV Babu
    2022.0
  • The study of emotional brain to detect emotions using brain eeg signals and improving accuracy of emotion detection system using feature selection techniques
    N Vishnupant Kimmatkar, V Babu
    Proceedings of the 2022 5th International Conference on Machine Vision and … , 2022
    2022.0
    Citations: 3
  • Novel approach for emotion detection and stabilizing mental state by using machine learning techniques
    NV Kimmatkar, BV Babu
    Computers 10 (3), 37 , 2021
    2021.0
    Citations: 59
  • Surveying machine learning algorithms on eeg signals data for mental health assessment
    E Gore, S Rathi
    2019 IEEE Pune Section International Conference (PuneCon), 1-6 , 2019
    2019.0
    Citations: 20
  • Human emotion classification from brain EEG signal using multimodal approach of classifier
    NV Kimmatkar, VB Babu
    Proceedings of the 2018 International Conference on Intelligent Information … , 2018
    2018.0
    Citations: 23
  • Improved Performance of Web Based Database Management for Telemedicine by Using Three Fold Approach of Data Fragmentation, Websites Data Clustering and Data Allocation
    N Kimmatkar
    International Journal on Recent and Innovation Trends in Computing and … , 2018
    2018.0
  • Initial analysis of brain EEG signal for mental state detection of human being
    NV Kimmatkar, BV Babu
    2017 International Conference on Trends in Electronics and Informatics (ICEI … , 2017
    2017.0
    Citations: 11
  • A Survey and Comparative Analysis ofVarious Existing Techniques used toDevelop an Intelligent Emotion RecognitionSystem Using EEG Signal Analysis
    NVKBV Babu
    International Journal of Control Theory and Applications 9 (J C T A, 10(9 … , 2017
    2017.0
  • Prediction Of Heart Disease Using Ann And Data Mining Techniques
    NK Monica Deshmukh, Vishakha Jadhav, Rupali Kaudare, Madhuri Lokhande
    International Journal of Management and Applied Science (IJMAS) 4 (Issue-6 … , 2016
    2016.0
  • Improved Face Recognition from single sample per person using discriminant Multi-manifold Analysis and Pareto – Dominance Concept
    N Kimmatkar
    International Journal on advanced Electrical and Computer Engineering … , 2015
    2015.0
  • Integration Of Encryption Of File And One Time Password For Secure File Accesson Cloud
    NK Ankita Patil, Kiran Zambare, Preeti Yadav, Pankaj Wasulkar
    International Journal of Advances In Computer Science and Cloud Computing 3 … , 2015
    2015.0
  • Intelligent emotion detection system using facial images
    A Kulkarni, A Shendge, V Varma, NV Kimmatkar
    Int. Res. J. Eng. Technol, 2395-0072 , 2015
    2015.0
    Citations: 3
  • Secure File Access Using MD5 for One Time Password Generation on Cloud
    A Patil, K Zambare, P Yadav, P Wasulkar, N Kimmatkar
    International Journal of Emerging Trend in Engineering and Basic Sciences 2 … , 2015
    2015.0
    Citations: 4
  • Improved Performance of Web Based Database Management for Telemedicine by Using Three Fold Approach of Data Fragmentation,Websites Data Clustering and Data Allocation
    NI Kimmatkar
    International Journal of Innovative Research in Computer and Communication … , 2015
    2015.0
  • Business Informations Systems
    N Kimmatkar
    International journalon inovative trend in science ,engineering & technology … , 2011
    2011.0
  • Fuzzy Logic and its uses in control engineering
    NKI Rashmi Garde Phalnikar
    The Bioinformatics Times 1 (1), 6 , 2004
    2004.0
  • Prediction of Heart Disease Using ANN and Data Mining Techniques
    NV Kimmatkar
    internarial Journal of Management and Applied Science (IJMAS) 4 (6), 35-38 , 0
  • Improved Face Recognition from Single Sample per Person Using Discriminant Multi-Manifold Analysis and Pareto-Dominance Concept
    K Bhingawade, A Damkondwar, N Pathipati, R Tamhane, MN Kimmatkar

MOST CITED SCHOLAR PUBLICATIONS

  • Novel approach for emotion detection and stabilizing mental state by using machine learning techniques
    NV Kimmatkar, BV Babu
    Computers 10 (3), 37 , 2021
    2021.0
    Citations: 59
  • Human emotion classification from brain EEG signal using multimodal approach of classifier
    NV Kimmatkar, VB Babu
    Proceedings of the 2018 International Conference on Intelligent Information … , 2018
    2018.0
    Citations: 23
  • Surveying machine learning algorithms on eeg signals data for mental health assessment
    E Gore, S Rathi
    2019 IEEE Pune Section International Conference (PuneCon), 1-6 , 2019
    2019.0
    Citations: 20
  • Human emotion detection with electroencephalography signals and accuracy analysis using feature fusion techniques and a multimodal approach for multiclass classification
    NV Kimmatkar, BV Babu
    Engineering, Technology & Applied Science Research 12 (4), 9012-9017 , 2022
    2022.0
    Citations: 12
  • Initial analysis of brain EEG signal for mental state detection of human being
    NV Kimmatkar, BV Babu
    2017 International Conference on Trends in Electronics and Informatics (ICEI … , 2017
    2017.0
    Citations: 11
  • Secure File Access Using MD5 for One Time Password Generation on Cloud
    A Patil, K Zambare, P Yadav, P Wasulkar, N Kimmatkar
    International Journal of Emerging Trend in Engineering and Basic Sciences 2 … , 2015
    2015.0
    Citations: 4
  • The study of emotional brain to detect emotions using brain eeg signals and improving accuracy of emotion detection system using feature selection techniques
    N Vishnupant Kimmatkar, V Babu
    Proceedings of the 2022 5th International Conference on Machine Vision and … , 2022
    2022.0
    Citations: 3
  • Intelligent emotion detection system using facial images
    A Kulkarni, A Shendge, V Varma, NV Kimmatkar
    Int. Res. J. Eng. Technol, 2395-0072 , 2015
    2015.0
    Citations: 3
  • Advanced EEG Signal Based Min to Mean Algorithm Approach For Human Emotion Taxonomy And Mental State Analysis
    BVB Nisha Vishnnupant Kimmatkar
    International Journal on Recent and Innovation Trends in Computing and … , 2022
    2022.0
  • A Novel Approach to the Classification of Human Emotion and Analysis of Complete Mental State Using Brain EEG Signals
    N Kimmatkar, BV Babu
    2022.0
  • Improved Performance of Web Based Database Management for Telemedicine by Using Three Fold Approach of Data Fragmentation, Websites Data Clustering and Data Allocation
    N Kimmatkar
    International Journal on Recent and Innovation Trends in Computing and … , 2018
    2018.0
  • A Survey and Comparative Analysis ofVarious Existing Techniques used toDevelop an Intelligent Emotion RecognitionSystem Using EEG Signal Analysis
    NVKBV Babu
    International Journal of Control Theory and Applications 9 (J C T A, 10(9 … , 2017
    2017.0
  • Prediction Of Heart Disease Using Ann And Data Mining Techniques
    NK Monica Deshmukh, Vishakha Jadhav, Rupali Kaudare, Madhuri Lokhande
    International Journal of Management and Applied Science (IJMAS) 4 (Issue-6 … , 2016
    2016.0
  • Improved Face Recognition from single sample per person using discriminant Multi-manifold Analysis and Pareto – Dominance Concept
    N Kimmatkar
    International Journal on advanced Electrical and Computer Engineering … , 2015
    2015.0
  • Integration Of Encryption Of File And One Time Password For Secure File Accesson Cloud
    NK Ankita Patil, Kiran Zambare, Preeti Yadav, Pankaj Wasulkar
    International Journal of Advances In Computer Science and Cloud Computing 3 … , 2015
    2015.0
  • Improved Performance of Web Based Database Management for Telemedicine by Using Three Fold Approach of Data Fragmentation,Websites Data Clustering and Data Allocation
    NI Kimmatkar
    International Journal of Innovative Research in Computer and Communication … , 2015
    2015.0
  • Business Informations Systems
    N Kimmatkar
    International journalon inovative trend in science ,engineering & technology … , 2011
    2011.0
  • Fuzzy Logic and its uses in control engineering
    NKI Rashmi Garde Phalnikar
    The Bioinformatics Times 1 (1), 6 , 2004
    2004.0
  • Prediction of Heart Disease Using ANN and Data Mining Techniques
    NV Kimmatkar
    internarial Journal of Management and Applied Science (IJMAS) 4 (6), 35-38 , 0
  • Improved Face Recognition from Single Sample per Person Using Discriminant Multi-Manifold Analysis and Pareto-Dominance Concept
    K Bhingawade, A Damkondwar, N Pathipati, R Tamhane, MN Kimmatkar