Neha Katre

@djsce.ac.in

Assistant Professor, Department of Information Technology
Dwarkadas J Sanghvi College of engineering

Neha Katre


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

EDUCATION

M.E. Computer Engineering
31

Scopus Publications

444

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Bias mitigation in machine learning models for recidivism using explainable AI
    Aagnya Mistry, Jaiwin Mehta, Ankit Datta, Agam Kamdar, Neha Katre, Sweedle Machado
    Applied Soft Computing, 2026
  • Occlusion-Aware Object Detection Under Fire and Smoke Conditions for Intelligent Surveillance
    Neha Katre, Meera Narvekar, Mahek Jain, Rachit Gala, Rhythm Shah
    Iet Conference Proceedings, 2026
    Traditional object detection mechanisms in surveillance systems tend to fail under occlusion-dense scenarios due to fire, smoke, or environmental noise and thus achieve poor reliability in emergency response scenarios. In this paper, the authors introduce a multi-stage deep learning framework that incorporates fire-aware preprocessing and occlusion-resistant object detection with YOLO-based architectures. The pipeline starts with a Fire Detection Module that uses a custom-trained YOLO variant on an annotated fire dataset of 2000 images to detect active fire and smoke areas in video streams. Merged and padded bounding boxes around these areas are expanded by 60% to account for visibility loss because of occlusion, an empirically derived hyperparameter that has been optimized using ablation analysis. The extended regions are fed into a YOLO segmentation model learned from a 3291-image annotated dataset of 21 vehicle components to support fine-grained occluded object detection. Experimental performance indicates dramatic improvement in mean Average Precision (mAP) and F1 scores over typical YOLOv8 baselines, especially for fire-obscured vehicles. Confusion matrix evaluation and F1- confidence curves confirm the model's performance in sustaining classification accuracy at low confidence levels (F1 ≈ 0.84 at 0.36 confidence). This fire-optimized, occlusion-conscious detection architecture significantly enhances the reliability of intelligent surveillance systems operating in low-visibility, high-threat contexts, and it is applicable to deployment in urban traffic surveillance, industrial security, and smart city infrastructure.
  • Concealed in Art: An Approach to Secure Communication Using Style Transfer, AES and RSA Encryption, and LSB Steganography
    Tanaya Joshi, Ayushi Uttamani, Neha Katre, Ramchandra Mangrulkar
    Smart Innovation Systems and Technologies, 2026
  • Gen-AI Driven Sustainable Packaging Solution
    Hargun Singh Chandhok, Rohit Rai, Viral Dalal, Neha Katre, Vinaya Sawant
    Lecture Notes in Networks and Systems, 2026
  • Smart Surveillance: Enhanced Detection of Compact Weapons and Fires with Image Enhancement Techniques
    Neha Katre, Meera Narvekar, Dhruv Kudalkar, Jash Shah, Ayush Shah
    Smart Innovation Systems and Technologies, 2025
  • FASAL: Ensemble Crop Recommendation System using Google Earth Engine and XAI Interpretability
    Maithili Divecha, Mallank Gogri, Priyansh Shah, Lakshya Joshi, Savyasaachi Pandit, Neha Katre
    2025 5th International Conference on Emerging Research in Electronics Computer Science and Technology Icerect 2025, 2025
    Agriculture is transforming at a very fast pace, previously being one of the biggest sources of livelihood for individuals. But with technology coming into play, becoming part of one’s daily life and with its implementation of cutting-edge technologies like machine learning, satellite remote sensing, and explainable artificial intelligence (XAI). In this paper, we outline a complete intelligent agricultural solution to help farmers both choose crops and to calculate the NDVI index. Our method utilises an ensemble-based classification model, Random Forest, Support Vector Classifier (SVC), and Gradient Boosting Classifier to suggest the best crops in line with environmental and soil factors such as NPK values, temperature, humidity, rainfall, and pH values. The model shows superior classification performance, with macro and weighted averages of around 0.98 and an accuracy of 98% overall. To promote transparency and trust, we integrate Local Interpretable Model-Agnostic Explanations (LIME) for interpreting model predictions and additionally use a Large Language Model (LLM) to explain these interpretations in farmer-friendly natural language. We utilise Google Earth Engine (GEE) to, compute NDVI over time. The convergence of explainable AI, natural language interfaces, and remote sensing provides a comprehensive, data-driven decision support system for new-age agriculture in our endeavour to assist the backbone of our country - the hardworking farmers.
  • Palmistry with Deep Learning Approaches Using CNN and OpenCV
    Het Nakhua, Mustansir Motiwala, Neha Katre
    Proceedings of the 2024 International Conference on Artificial Intelligence and Emerging Technology Global AI Summit 2024, 2024
    Palmistry, an ancient tradition interpreting hand features, offers insights into personality traits, life potential, and destiny. While automated palmistry solutions exist, they often overlook important factors like gender and hand dominance, resulting in incomplete analyses. This paper proposes a new approach incorporating Convolutional Neural Networks (CNN) for gender and hand dominance detection, along with OpenCV for line identification. The methodology consists of three primary segments: gender identification, hand dominance determination, and palm line detection. For gender detection, a CNN was constructed using TensorFlow and Keras, featuring three convolutionallayers, max-pooling layers, a flatten layer, and two dense layers. This model achieved 99.91% accuracy on the training dataset and 98.24% on the testing dataset. Hand dominance detection utilized a comparable CNN architecture, achieved 100% training accuracy and 99.81% testing accuracy. Palm line detection used OpenCV, involving preprocessing steps such as resizing, grayscale conversion, and smoothing with bilateral and Gaussian filters. The Heart, Head, and Life lines were identified using the Canny edge detector and Hough transform. By bridging the gap between current technology and traditional palmistry, this holistic approach offers a valuable tool for introspection and guidance. By merging traditional practices with advanced computational methods, the approach ensures more precise and comprehensive palmistry analysis, addressing the shortcomings of existing automated solutions.
  • IntelliTutor: Revolutionizing Interviews Through AI-Powered Learning and Guidance
    Deepti Singh, Akshit Chheda, Vivek Modi, Neha Katre
    Lecture Notes in Networks and Systems, 2024
  • An Analytical Approach and Concept Mapping of Agricultural Issues Using Deep Learning Techniques
    Ashray Gattani, Pradhyuman Pandey, Harshal Dalvi, Neha Katre
    Studies in Computational Intelligence, 2024
  • Automated Pothole Detection using Transfer Learning
    Karan Thakkar, Saurav Shah, Bhavna Mulchandani, Neha Katre, Harshal Dalvi
    2024 IEEE 9th International Conference for Convergence in Technology I2ct 2024, 2024
    Road irregularities like potholes, which are common and persistent, provide a serious problem for both drivers and the government. In order to address this long-standing problem, the research study examines a novel strategy that combines transfer learning with ResNet (Residual Neural Network) methodologies. The main cause of pothole formation is unfavourable weather, which gradually erodes road surfaces and leaves voids behind. Potholes are created as a result of these voids expanding over time and are frequently hidden by flooding or rain during bad weather. Current government responses frequently suffer from delays and resource shortages and rely on manual inspections and reactive repair plans. The paper suggests developing real-time, inexpensive pothole detecting systems with a remarkable accuracy rate of 98.24 percent by utilising ResNet and transfer learning. These solutions seamlessly incorporate the locations of discovered potholes, along with geo-tagging tools that accurately identify each pothole’s coordinates and map them to Google Maps for public access and awareness. This proactive strategy enables authorities to quickly identify and prioritise maintenance activities, greatly improving road safety, lowering the cost of vehicle maintenance, and efficiently allocating resources. In the end, while being specifically created for use by government officials, this technology-driven strategy offers a significant improvement over current methods and stands to benefit the public by raising the calibre of transportation infrastructure.
  • Efficient Data Extraction from Handwritten Forms: A Structured Pipeline Solution
    Shivani Patel, Krisha Borana, Neha Katre, Vinaya Sawant, Harshal Dalvi
    2024 2nd International Conference on Artificial Intelligence Trends and Pattern Recognition Icaitpr 2024, 2024
  • Revolutionizing Phobia Treatment: The Role of Augmented Reality in Exposure Therapy
    Viral Dalal, Yash Doshi, Amey Rane, Bhavya Poddar, Stevina Correia, Neha Katre
    2024 2nd International Conference on Artificial Intelligence Trends and Pattern Recognition Icaitpr 2024, 2024
  • Proposed Methodology for Real-Time Pistol Detection System
    Ayush Shah, Dhruv Kudalkar, Jash Shah, Neha Katre
    Proceedings of 3rd International Conference on Advanced Computing Technologies and Applications Icacta 2023, 2023
  • Application of Machine Learning in Disease Prediction
    Sannidhi Rao, Shreya Kulkarni, Shikha Mehta, Neha Katre
    Practical Data Mining Techniques and Applications, 2023
  • Identification of Crime-Prone Areas Using Data Mining Techniques
    Jainam Rambhia, Bhoomika Valani, Shivam Vora, Chaitanya Kumbar, Neha Katre
    Practical Data Mining Techniques and Applications, 2023
  • ROI based real time straight lane line detection using Canny Edge Detector and masked bitwise operator
    Manan Doshi, Harsh Shah, Neha Katre
    Ibssc 2022 IEEE Bombay Section Signature Conference, 2022
  • Philomath: Intelligent Tutoring System for Mathematics
    Shruti Solani, Bhavya Thakkar, Raj Shah, Neha Katre
    5th IEEE International Conference on Advances in Science and Technology Icast 2022, 2022
  • A Decentralized Approach for Evidence Management in Archaeology
    Rishabh Nevatia, Arya Patki, Onkar Bagwe, Harshal Dalvi, Neha Katre
    Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development Indiacom 2022, 2022
  • A Study of LIME and SHAP Model Explainers for Autonomous Disease Predictions
    Sannidhi Rao, Shikha Mehta, Shreya Kulkarni, Harshal Dalvi, Neha Katre, Meera Narvekar
    Ibssc 2022 IEEE Bombay Section Signature Conference, 2022
  • A Study on Video Analytics and Their Performance Analysis for Various Object Detection Algorithms
    Chirag Jagad, Ishika Chokshi, Ishan Chokshi, Chirag Jain, Neha Katre, Meera Narvekar, Debajyoti Mukhopadhyay
    2022 IEEE IAS Global Conference on Emerging Technologies Globconet 2022, 2022
  • A Proposed Approach to Indoor Navigation and Store Recommendation
    Kashvi Dedhia, Saloni Dagli, Mallika Konkar, Neha Katre
    Proceedings 1st International Conference on Smart Technologies Communication and Robotics Stcr 2021, 2021
  • A Trade-off between ML and DL Techniques in Natural Language Processing
    Bhavesh Singh, Rahil Desai, Himanshu Ashar, Parth Tank, Neha Katre
    Journal of Physics Conference Series, 2021
  • Review of VQA : Datasets and Approaches
    Devika Patadia, Shivam Kejriwal, Richa Shah, Neha Katre
    2021 7th IEEE International Conference on Advances in Computing Communication and Control Icac3 2021, 2021
  • Study of Group Equivariant Convolutional Networks for Image Classification
    Nishant Dave, Vivek Vinze, Jainam Dhami, Neha Katre, Stevina Correia
    2021 7th IEEE International Conference on Advances in Computing Communication and Control Icac3 2021, 2021
  • Arbitrage in Cryptocurrency: A Survey
    Ishaan Khetan, Palnaa Sheth, Sarthak Dalal, Sarthak Mistry, Varija Sharma, Neha Katre
    2021 5th International Conference on Information Systems and Computer Networks Iscon 2021, 2021
  • Machine learning based telecom-customer churn prediction
    Pushkar Bhuse, Aayushi Gandhi, Parth Meswani, Riya Muni, Neha Katre
    Proceedings of the 3rd International Conference on Intelligent Sustainable Systems Iciss 2020, 2020
  • HealthSense: A medical use case of Internet of Things and blockchain
    Tushar Dey, Shaurya Jaiswal, Shweta Sunderkrishnan, Neha Katre
    Proceedings of the International Conference on Intelligent Sustainable Systems Iciss 2017, 2018
  • A Comprehensive Review of Intelligent Tutoring System Architecture and its shortcomings
    12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
  • E-learning system using augmented reality
    Siddhant Patil, Chiquitha Prabhu, Omkar Neogi, Abhijit R. Joshi, Neha Katre
    Proceedings 2nd International Conference on Computing Communication Control and Automation Iccubea 2016, 2017
  • Querying the database with XQuery to optimize application performance
    11th Indiacom 4th International Conference on Computing for Sustainable Global Development Indiacom 2017, 2017
  • 3D gesture-recognition based animation game
    Niyati Gosalia, Priya Jain, Ishita Shah, Abhijit R. Joshi, Neha Katre, Sameer Sahasrabudhe
    Procedia Computer Science, 2015

RECENT SCHOLAR PUBLICATIONS

  • Bias mitigation in machine learning models for recidivism using explainable AI
    A Mistry, J Mehta, A Datta, A Kamdar, N Katre, S Machado
    Applied Soft Computing, 115520 , 2026
    2026
  • Advanced Encryption Technique for Multimedia Data Using Sudoku-Based Algorithms for Enhanced Security
    M Bavishi, A Bohra, K Vadodaria, A Bohra, N Katre, R Mangrulkar, ...
    arXiv preprint arXiv:2601.10119 , 2026
    2026
  • Gen-AI Driven Sustainable Packaging
    HS Chandhok, R Rai, V Dalal, N Katre
    Data Science and Applications: Proceedings of ICDSA 2025, Volume 4 4, 192 , 2026
    2026
  • Advancing high school anatomy education through augmented reality integration: a technological approach
    S Patel, E Dcosta, J Jain, N Katre, T Ved
    Virtual Internet of Things: Smart Environments, Smart Healthcare, Industry 4 … , 2025
    2025
  • Occlusion-aware object detection under fire and smoke conditions for intelligent surveillance
    N Katre, M Narvekar, M Jain, R Gala, R Shah
    IET Conference Proceedings CP967 2025 (43), 471-477 , 2025
    2025
  • FASAL: Ensemble Crop Recommendation System using Google Earth Engine and XAI Interpretability
    M Divecha, M Gogri, P Shah, L Joshi, S Pandit, N Katre
    2025 5th International Conference on Emerging Research in Electronics … , 2025
    2025
  • of Compact Weapons and Fires with Image Enhancement Techniques
    N Katre, M Narvekar, D Kudalkar, J Shah, A Shah
    Human-Centric Smart Computing: Proceedings of ICHCSC 2024, 295 , 2025
    2025
  • Gen-AI Driven Sustainable Packaging Solution
    HS Chandhok, R Rai, V Dalal, N Katre, V Sawant
    International Conference on Data Science and Applications, 192-206 , 2025
    2025
  • Concealed in Art: An Approach to Secure Communication Using Style Transfer, AES and RSA Encryption, and LSB Steganography
    T Joshi, A Uttamani, N Katre, R Mangrulkar
    Congress on Control, Robotics, and Mechatronics, 141-161 , 2025
    2025
  • Revolutionizing Phobia Treatment: The Role of Augmented Reality in Exposure Therapy
    V Dalal, Y Doshi, A Rane, B Poddar, S Correia, N Katre
    2024 2nd International Conference on Artificial Intelligence Trends and … , 2024
    2024
  • Efficient Data Extraction from Handwritten Forms: A Structured Pipeline Solution
    S Patel, K Borana, N Katre, V Sawant, H Dalvi
    2024 2nd International Conference on Artificial Intelligence Trends and … , 2024
    2024
    Citations: 1
  • A Novel Approach to Key Frame Detection Using Histogram and Dynamic Clustering.
    N Katre, M Narvekar, C Jagad, C Jain, I Chokshi
    Journal of Computational Analysis & Applications 33 (6) , 2024
    2024
  • IntelliTutor: Revolutionizing Interviews Through AI-Powered Learning
    D Singh, A Chheda, V Modi, N Katre
    ICT for Intelligent Systems: Proceedings of ICTIS 2024, Volume 5 5, 201 , 2024
    2024
    Citations: 1
  • Palmistry with Deep Learning Approaches Using CNN and OpenCV
    H Nakhua, M Motiwala, N Katre
    2024 International Conference on Artificial Intelligence and Emerging … , 2024
    2024
  • An Analytical Approach and Concept Mapping of Agricultural Issues Using Deep Learning Techniques
    A Gattani, P Pandey, H Dalvi, N Katre
    Computational Intelligence in Internet of Agricultural Things, 147-169 , 2024
    2024
  • Smart Surveillance: Enhanced Detection of Compact Weapons and Fires with Image Enhancement Techniques
    N Katre, M Narvekar, D Kudalkar, J Shah, A Shah
    International Conference on Human-Centric Smart Computing, 295-307 , 2024
    2024
  • A comparative study of garment draping techniques
    P Achar, M Patel, A Mulik, N Katre, S Dias, C Raman
    arXiv preprint arXiv:2405.11056 , 2024
    2024
    Citations: 5
  • An ensemble approach for ultrasound-based polycystic ovary syndrome (pcos) classification
    H Nakhua, D Kothari, R Sethia
    Proceedings on Engineering Sciences, Educational Administration Theory and … , 2024
    2024
    Citations: 6
  • Automated Pothole Detection using Transfer Learning
    K Thakkar, S Shah, B Mulchandani, N Katre, H Dalvi
    2024 IEEE 9th International Conference for Convergence in Technology (I2CT), 1-8 , 2024
    2024
    Citations: 4
  • IntelliTutor: revolutionizing interviews through AI-powered learning and guidance
    D Singh, A Chheda, V Modi, N Katre
    International Conference on Information and Communication Technology for … , 2024
    2024
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • HealthSense: A medical use case of Internet of Things and blockchain
    T Dey, S Jaiswal, S Sunderkrishnan, N Katre
    2017 International conference on intelligent sustainable systems (ICISS … , 2017
    2017
    Citations: 137
  • A study of LIME and SHAP model explainers for autonomous disease predictions
    S Rao, S Mehta, S Kulkarni, H Dalvi, N Katre, M Narvekar
    2022 ieee bombay section signature conference (ibssc), 1-6 , 2022
    2022
    Citations: 61
  • Learning math using gesture
    V Thakkar, A Shah, M Thakkar, A Joshi, N Mendjoge
    International conference on education and e-learning innovations, 1-3 , 2012
    2012
    Citations: 34
  • Machine learning based telecom-customer churn prediction
    P Bhuse, A Gandhi, P Meswani, R Muni, N Katre
    2020 3rd International Conference on Intelligent Sustainable Systems (ICISS … , 2020
    2020
    Citations: 31
  • A review on clothes matching and recommendation systems based on user attributes
    A Pandit, K Goel, M Jain, N Katre
    International Journal of Engineering Research & Technology 9 (8), 786-791 , 2020
    2020
    Citations: 22
  • 3D Gesture-Recognition Based Animation Game
    N Gosalia, P Jain, I Shah, AR Joshi, N Katre, S Sahasrabudhe
    Procedia Computer Science 45, 712-717 , 2015
    2015
    Citations: 19
  • A trade-off between ML and DL techniques in natural language processing
    B Singh, R Desai, H Ashar, P Tank, N Katre
    Journal of Physics: Conference Series 1831 (1), 012025 , 2021
    2021
    Citations: 18
  • E-learning system using Augmented Reality
    S Patil, C Prabhu, O Neogi, AR Joshi, N Katre
    2016 International Conference on Computing Communication Control and … , 2016
    2016
    Citations: 18
  • Intelligent tutoring system for Database Normalization
    N Mendjoge, AR Joshi, M Narvekar
    2016 international conference on computing communication control and … , 2016
    2016
    Citations: 13
  • Review of knowledge representation techniques for Intelligent Tutoring System
    N Mendjoge, AR Joshi, M Narvekar
    2016 3rd International Conference on Computing for Sustainable Global … , 2016
    2016
    Citations: 12
  • Big data vs traditional data
    R Pandya, V Sawant, N Mendjoge, M D’silva
    International Journal for Research in Applied Science & Engineering … , 2015
    2015
    Citations: 9
  • Supply chain of relief materials using blockchain
    J Bhatelia, S Pandita, A Ajmera, N Shekokar, N Katre
    ITM Web of conferences 32, 03036 , 2020
    2020
    Citations: 8
  • An ensemble approach for ultrasound-based polycystic ovary syndrome (pcos) classification
    H Nakhua, D Kothari, R Sethia
    Proceedings on Engineering Sciences, Educational Administration Theory and … , 2024
    2024
    Citations: 6
  • A comparative study of garment draping techniques
    P Achar, M Patel, A Mulik, N Katre, S Dias, C Raman
    arXiv preprint arXiv:2405.11056 , 2024
    2024
    Citations: 5
  • Comparision of yolo models for object detection from parking spot images
    Y Doshi, K Shah, N Katre, V Sawant, S Correia
    Educational Administration: Theory and Practice 30 (4), 10401-10411 , 2024
    2024
    Citations: 5
  • Proposed methodology for real-time pistol detection system
    A Shah, D Kudalkar, J Shah, N Katre
    2023 International Conference on Advanced Computing Technologies and … , 2023
    2023
    Citations: 5
  • Syt-AJ: treating lazy eye using virtual reality
    T Ved, J Chauhan, N Katre
    Advanced Computing Technologies and Applications: Proceedings of 2nd … , 2020
    2020
    Citations: 5
  • Automated Pothole Detection using Transfer Learning
    K Thakkar, S Shah, B Mulchandani, N Katre, H Dalvi
    2024 IEEE 9th International Conference for Convergence in Technology (I2CT), 1-8 , 2024
    2024
    Citations: 4
  • IntelliTutor: revolutionizing interviews through AI-powered learning and guidance
    D Singh, A Chheda, V Modi, N Katre
    International Conference on Information and Communication Technology for … , 2024
    2024
    Citations: 4
  • ROI based real time straight lane line detection using Canny Edge Detector and masked bitwise operator
    M Doshi, H Shah, N Katre
    2022 IEEE Bombay Section Signature Conference (IBSSC), 1-6 , 2022
    2022
    Citations: 3