Dr. Nilesh Madhukar Patil

@djsce.ac.in

Associate Professor Department of Computer Engineering
SVKM's Dwarkadas J Sanghvi College of Engineering, Mumbai

Dr. Nilesh Madhukar Patil


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

EDUCATION

Ph.D. in Computer Engineering
More than 16 years of teaching experience

RESEARCH INTERESTS

Machine Learning
Deep Learning
Security in Wireless Sensor Networks
Data Science
33

Scopus Publications

260

Scholar Citations

9

Scholar h-index

8

Scholar i10-index

Scopus Publications

  • Digital Twins For Urban Mitigation: Modelling City-Wide Carbon Neutrality Scenarios Via High-Performance Computing (HPC)
    Nilesh Patil, Balajee Maram
    International Journal of Drug Delivery Technology, 2026
    This paper presents a comprehensive framework for the context of integrating urban digital twins with the high-performance computing (HPC) to model, analyse, as well as accelerate pathways to city-wide carbon neutrality. Urban abstract simulations consist of digital twins of cities integrating heterogenous streams of data, physical models, and machine learning surrogates to simulate the behaviour and conditions of cities both spatially and temporally. HPC provides computational envelope capable of executing detailed building energy modelling, transport systems modelling, renewable generation modelling and coupled atmosphere-urban microclimate modelling both at city scale and at a temporal scale suitable to do sound policy analysis. The modular digital twin system comprises a system of interaction between building energy simulation and urban mobility models and distributed energy resource (DER) models and an urban carbon scoring engine. Its structure experiences HPC in order to compute a great number of scenarios in order to measure uncertainty and apply multi-objective analysis with the aim of minimizing emissions, costs and resilience. To explain the approach, a case study of synthetic city is conducted, and sensitivity experiments of electrification, deep retrofit, distributed photovoltaics, storage, and demand response portfolios is carried. Results quantify trade-offs between decarbonization rate, cost of energy, and stressors resilience and show that HPC-based digital twin’s communities can be used to discover near-Paretooptimal trade-offs in the presence of epistemic and aleatory uncertainty. The last point is on the implementation problems, data handlings and research plans to operationalize the city digital twins as a decision support system to simplify into carbon neutral city.
  • Code Vulnerability Detection Using Instruction-Tuned LLMs
    Devesh Bhayani, Arham Shah, Dev Pandey, Bhavya Mehta, Nilesh Patil
    Proceedings of 2nd International Conference on Visual Analytics and Data Visualization Icvadv 2026, 2026
    The biggest risk to modern systems and software is created by software vulnerabilities. We have many techniques to check code; however, it is seen that with the advancement in software, this has also led to newer kinds of possible bugs emerging. The current techniques to check these vulnerabilities aren't enough. The recent advancement in Large Language Models (LLMs) has opened possibilities to detect these kinds of vulnerabilities. However, LLMs are tuned on a wide range of data; therefore, they generally lack the task-specific alignment needed to accurately recognize and reason about security flaws. In this research, we present a framework based on instruction tuning that adapts pre-trained code LLMs for vulnerability detection by using datasets which are curated for these use cases and structured prompt templates designed to encode vulnerability semantics and context. The proposed approach not only instructs the LLM to detect vulnerabilities but also asks it to reason, which improves trust in the detection process.
  • Hybrid Predictive Modeling for Formula 1 Race Outcomes: Integrating Random Forest and Graph Neural Networks
    Kapil Kashyap, Haardhik Kunder, Sean Fargose, Varun Nair, Hriday Ranka, Nilesh Patil
    Lecture Notes in Networks and Systems, 2026
  • Benchmarking Large Language Models: A Comprehensive Comparison of Architectures and Their Implications
    Achintya Shah, Yashvi Shah, Hrushik Mehta, Dhrumil Panchal, Nilesh Patil, Deepali Patil
    Smart Innovation Systems and Technologies, 2026
  • Healthcare IoT: Security Challenges and Solutions
    Tatwadarshi P. Nagarhalli, Anagha Patil, Ashwini M. Save, Narendra Shekokar, Rujuta Vartak, Nilesh Patil
    Challenges and Solutions in Internet of Things Based Smart Applications, 2025
    The increasing adoption of Internet of Things (IoT) technology in healthcare systems has brought numerous benefits, such as improved patient care, remote monitoring and enhanced efficiency. However, the integration of IoT devices into healthcare environments has also introduced significant security challenges. This chapter provides a comprehensive review of the security challenges faced by healthcare IoT-based systems and explores potential solutions to mitigate these risks. Firstly, the chapter examines the unique security vulnerabilities associated with healthcare IoT devices. It highlights the susceptibility of these devices to physical tampering, unauthorised access, data breaches and malware attacks. Furthermore, it discusses the potential impact of security breaches on patient privacy, data integrity and overall system functionality. The review then delves into the various security measures and solutions available to address these challenges. It explores the importance of end-to-end encryption, secure communication protocols and robust access control mechanisms. Additionally, it investigates the role of anomaly detection, intrusion detection systems and secure firmware updates in safeguarding healthcare IoT-based systems against emerging threats. Furthermore, the chapter explores the emerging technologies and trends that can enhance security in healthcare IoT-based systems. It explores the potential of blockchain technology for secure data exchange and decentralised access control. Additionally, it investigates the use of artificial intelligence and machine learning algorithms for real-time threat detection and proactive defence mechanisms. In a nutshell, this comprehensive review highlights the security challenges faced by healthcare IoT-based systems and provides valuable insights into potential solutions. By understanding these challenges and implementing appropriate security measures, healthcare organisations and healthcare devices manufacturing organisations can ensure the privacy, integrity and availability of patient data while harnessing the transformative potential of IoT technology in the healthcare sector.
  • Eco-Optimized Routing for Urban Mobility
    Anay Shah, Javal Shah, Forum Sanjanwala, Anaya Jain, Nilesh Patil, Sridhar Iyer
    2025 International Conference on Information Implementation and Innovation in Technology I2itcon 2025, 2025
    One of the main contributors to environmental degradation and air pollution is urban transportation. This paper introduces a new system for improving land transport routes by including sustainability as a vital factor along with travel time. The approach here leverages the predicted Air Quality Index (AQI) data, mainly focused on PM 2.5, to assess and suggest sustainable routes. To predict AQI variations across key locations in Mumbai, four machine learning models: autoregressive integrated moving average (ARIMA), long short-term memory (LSTM), linear regression and prophet are developed, and the most accurate and reliable one is found to be the ARIMA model. Furthermore, the system takes into account the forecasted AQI, traffic congestion and distance to calculate a pollution score in order to determine greener alternatives. A blockchain based reward system is used to reward users with cryptocurrency if an eco-friendly route is chosen, to encourage sustainable behaviour. The research shows the prediction models combined with a decentralized rewards mechanism promotes sustainable transportation and has a significant impact on reducing pollution caused by travel.
  • Traditional Indian Food Classification Using Shallow Convolutional Neural Network
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • A Comparative Study of Classification Models for Cyberbullying Detection
    Mritunjay Kumar Ojha, Nilesh M Patil, Manuj Joshi
    7th International Conference on Inventive Computation Technologies Icict 2024, 2024
    The most critical challenge in cybersecurity is dealing with cyber-attacks. Since it is imperative to act quickly to lessen the harm caused by cyberbullying. The complicated dynamics of social media, which are marked by their complexity, variety, subjectivity, and multimodal nature, provide obstacles to the identification of cyberbullying. The complexity, diversity, subjective nature, and multimodal aspects of social media have significantly increased. This has led to the need for automated mechanisms that can identify these harmful behaviors. This study aims to assess how well various categorization methods detect cyber bullying. For training and testing, this study uses a cybersecurity-related data. The models that have been selected include the Linear SVC, Random Forest, Decision Tree, Logistic Regression, and Stochastic Gradient classifiers. We use hyperparameter tuning to improve the model's performance, and then we show the results based on important metrics like accuracy, precision, recall, and F1 score. The results demonstrate the superiority of the stochastic gradient classifier, which has an F1 score of 94.39%, recall of 91.94%, accuracy of 92.81%, and precision of 96.97%. The investigation examines the advantages and disadvantages of each approach, offering insightful information for the cybersecurity field. In addition, suggestions for more studies are made to strengthen the resilience of cyber defenses. This work advances the effectiveness of cybersecurity measures by finding the best models for detecting threats and offering directions for improvement as cyber threats change. Other techniques that can be used are the three distinct feature extraction techniques—Bag of Words (BoW), Term Frequency-Inverse Document Frequency (TF-IDF), and Word2Vec—are merged with the algorithms of Logistic Regression (LR), Naïve Bayes (NB), Support Vector Machine (SVM), and Random Forest (RF) to build the model (Johari & Jaafar, 2022). Our objectives are to analyze the effectiveness of several classification techniques for identifying cyberbullying, such as Random Forest, Decision Tree, Linear SVC, Logistic Regression, and Stochastic Gradient classifiers, to improve the performance of the model by using hyperparameter tweaking methods and analyze the outcomes using the F1 score, accuracy, precision, recall, and other critical performance
  • Cyberbullying Detection and Prevention using Machine Learning
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features
    Ceur Workshop Proceedings, 2024
  • TeenSenti - A novel approach for sentiment analysis of short words and slangs
    Sahil Kamath, Vaishnavi Padiya, Sonia D'Silva, Nilesh Patil, Meera Narvekar
    2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science Amathe 2024, 2024
  • Recommendation System for Surplus Food Management using Location based and Collaborative Filtering Approach
    Nilesh Patil, Ananya Doshi, Vansh Dodiya, Jenil Savla, Meera Narvekar
    2024 IEEE International Students Conference on Electrical Electronics and Computer Science Sceecs 2024, 2024
  • Computer Vision-Based Cybersecurity Threat Detection System with GAN-Enhanced Data Augmentation
    Prateek Ranka, Ayush Shah, Nivan Vora, Aditya Kulkarni, Nilesh Patil
    Communications in Computer and Information Science, 2024
  • Improving Chronic Kidney Disease Prediction Using ANN with Normalization
    Neel Kothari, Syed Mohammed Raza Rizvi, Praniket Walavalkar, Pratik Kanani, Nilesh Patil
    Lecture Notes in Networks and Systems, 2024
  • A Systematic Review of Textile Anomaly Detection Systems
    Ananya Doshi, Vansh Dodiya, Hetansh Shah, Kranti Ghag, Nilesh Patil, Meera Narvekar
    2024 IEEE International Students Conference on Electrical Electronics and Computer Science Sceecs 2024, 2024
  • A comparative analysis of different approaches to lexical and semantic document similarity
    Pratik Kanani, Devang Shah, Riya Bihani, Khushi Chavan, Aniket Kore, Nilesh Patil
    Research Advances in Intelligent Computing Volume 2, 2024
  • Optimization of Health-as-a-Service Using OptiFog Algorithm
    Pratik Kanani, Anil Vasoya, Kamal Shah, Neel Kothari, Nilesh Patil, et al.
    International Journal of Intelligent Engineering and Systems, 2024
  • RETRACTION:An application development for smart monitoring of COVID patients using six stage microbiological health systems
    Padavala Sai Prasad, Prabha Shreeraj Nair, Anagha Patil, Nilesh Madhukar Patil, Abhay Chaturvedi, Syed Noeman Taqui, Hesham S. Almoallim, Sulaiman Ali Alharbi, S.S. Raghavan
    Journal of Intelligent and Fuzzy Systems, 2023
  • Kathak Dance Movement Recognition and Correction Using Google's Mediapipe
    Ahmed Solkar, Glen Dhingra, Khushi Chavan, Nilesh Patil
    2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
  • Cryptonate: Crypto-Jacking Web Extension
    Nilesh Patil, Dhruv Gandhi, Pranay Prajapati, Kevin Haria
    Lecture Notes in Networks and Systems, 2023
  • Sentence Restructuring with User-Controlled Difficulty using NLP
    Chaitya Shah, Aesha Shah, Lokita Varma, Sarthak Bhan, Nilesh Patil
    2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
  • BlockCrate: A Blockchain-Based Asset Sharing and Management Solution
    Nilesh Patil, Manan Shah, Meet Pithadia, Yuvraj Thakur, Heet Zatakia
    Proceedings of 3rd International Conference on Advanced Computing Technologies and Applications Icacta 2023, 2023
  • Interactive Gaming Experience in VR Integrated with Machine Learning
    Sarthak Bhan, Lokita Varma, Kush Maniar, Russel Lobo, Sanket Shah, Nilesh Patil
    Lecture Notes in Electrical Engineering, 2023
  • A Device for Detection and Deterrence of Locust Threats
    Dishant Zaveri, Devang Shah, Sharvari Joshi, Tarasha Ahuja, Nilesh Madhukar Patil, Sridhar C Iyer
    2023 International Conference on Emerging Trends in Networks and Computer Communications Etncc 2023 Proceedings, 2023
  • Improving QoS of DSDV protocol to deliver a successful collision avoidance message in case of an emergency in VANET
    Pratik Kanani, Nilesh Patil, Vishakha Shelke, Karan Salot, Akhil Nanavati, Niharika Damodaran, Shivam Desai
    Soft Computing, 2023
  • ResStorage - Blockchain Based Decentralized Resume Storage Application
    Pranav Gangurde, Melita Japhet, Clafacio Lobo, Nilesh Patil, Prachi Patil
    Proceedings 2022 IEEE World Conference on Applied Intelligence and Computing Aic 2022, 2022
  • ML Suite: An Auto Machine Learning Tool
    Nilesh M. Patil, Tanmay P. Rane, Anmol A. Panjwani
    Lecture Notes in Networks and Systems, 2021
  • Cricket team prediction using machine learning techniques
    International Journal of Advanced Science and Technology, 2020
  • Heat stroke alert device
    International Journal of Advanced Science and Technology, 2020
  • Hybrid phishing site detection
    International Journal of Advanced Science and Technology, 2020
  • Content-Based Audio Classification and Retrieval Using Segmentation, Feature Extraction and Neural Network Approach
    Nilesh M. Patil, Milind U. Nemade
    Advances in Intelligent Systems and Computing, 2019
  • Audio signal deblurring using singular value decomposition (SVD)
    Nilesh M. Patil, Milind U. Nemade
    IEEE International Conference on Power Control Signals and Instrumentation Engineering Icpcsi 2017, 2018
  • Content-based audio classification and retrieval: A novel approach
    Nilesh M. Patil, Milind U. Nemade
    Proceedings International Conference on Global Trends in Signal Processing Information Computing and Communication Icgtspicc 2016, 2017

RECENT SCHOLAR PUBLICATIONS

  • Structure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contexts
    S Chourasia, H Kapoor, N Patil
    arXiv preprint arXiv:2605.23597 , 2026
    2026
  • Code Vulnerability Detection Using Instruction-Tuned LLMs
    D Bhayani, A Shah, D Pandey, B Mehta, N Patil
    2026 International Conference on Visual Analytics and Data Visualization … , 2026
    2026
  • Enhancing WSN Intrusion Detection: Two-Tier Feature Selection and Optuna-Optimized Ensemble Learning
    D Dalgade, N Patil, M Joshi, D Hiran
    2025
  • Hybrid Predictive Modeling for Formula 1 Race Outcomes: Integrating Random Forest and Graph Neural Networks
    K Kashyap, H Kunder, S Fargose, V Nair, H Ranka, N Patil
    International Conference on Computing and Communication Systems for … , 2025
    2025
  • Eco-Optimized Routing for Urban Mobility
    A Shah, J Shah, F Sanjanwala, A Jain, N Patil, S Iyer
    International Conference on Information, Implementation, and Innovation in … , 2025
    2025
  • Regime-Aware Short-Term Trading Strategy Using Hidden Markov Models and Monte Carlo Simulation
    DJ Chaitya Shah, Ayush Shah, Nilesh Patil
    Communications on Applied Nonlinear Analysis 32 (9s), 3242-3249 , 2025
    2025
  • Hybrid Approach Combining Ultrasound and Blood Test Analysis with A Voting Classifier for Accurate Liver Fibrosis and Cirrhosis Assessment
    AK Sean Fargose, Kapil Kashyap, Chrisil Dabre, Fatema Dolaria, Nilesh Patil
    Journal of Neonatal Surgery 14 (17s), 903-912 , 2025
    2025
    Citations: 3
  • Benchmarking Large Language Models: A Comprehensive Comparison of Architectures and Their Implications
    A Shah, Y Shah, H Mehta, D Panchal, N Patil, D Patil
    Congress on Smart Computing Technologies, 615-634 , 2024
    2024
  • XAI-Credit Risk Analysis
    N Patil, S Iyer, C Lakhani, P Shah, H Patel, A Bhatt, D Patel
    International Journal of Communication Networks and Information Security 16 … , 2024
    2024
    Citations: 1
  • Infectious Disease Forecasting in India using LLM's and Deep Learning
    C Shah, K Gandhi, J Shah, K Shah, N Patil, K Bhowmick
    arXiv preprint arXiv:2410.20168 , 2024
    2024
    Citations: 4
  • QuikAPIs-Automated API Generation and Data Management Platform with Built-in Security.
    R Pendam, M Upadhye, N Patil, S Iyer
    Journal of Computational Analysis & Applications 33 (4) , 2024
    2024
  • Enhancing multilingual access to medical terminology through NLP-driven extraction and translation
    N Patil
    Eng. Appl. Technol. Perspect 30 (3), 2862-2867 , 2024
    2024
    Citations: 1
  • A comparative analysis of different approaches to lexical and semantic document similarity
    P Kanani, D Shah, R Bihani, K Chavan, A Kore, N Patil
    Research Advances in Intelligent Computing, 124-138 , 2024
    2024
  • Predicting solar energy generation with machine learning based on AQI and weather features
    A Shah, V Viswanath, K Gandhi, NM Patil
    arXiv preprint arXiv:2408.12476 , 2024
    2024
    Citations: 12
  • Simplified Homomorphic Encryption for Addition
    PSI Shashwat Shah, Chintan Shah, Tanay Parikh, Dev Shah, Dr. Nilesh Patil
    Educational Administration: Theory and Practice 30 (5), 14750 -14754 , 2024
    2024
  • XAI-Driven Yoga Pose Analysis and Correction in Real Time
    RK Kruti Shah, Manasvi Gupta, Nilesh Patil, Sridhar Iyer, Fatema Dolaria
    Educational Administration: Theory and Practice 30 (5), 14735-14741 , 2024
    2024
  • TeenSenti-A novel approach for sentiment analysis of short words and slangs
    S Kamath, V Padiya, S D'Silva, N Patil, M Narvekar
    2024 International Conference on Advances in Modern Age Technologies for … , 2024
    2024
    Citations: 3
  • A comparative study of classification models for cyberbullying detection
    MK Ojha, NM Patil, M Joshi
    2024 International Conference on Inventive Computation Technologies (ICICT … , 2024
    2024
    Citations: 1
  • Feistel Cipher based Enhanced Image Encryption Algorithm with Dynamic Key Generation
    D Mehta, J Savla, S Iyer, N Patil
    2024
  • Analysis of Machine Learning Algorithms for Intrusion Detection in Wireless Sensor Networks
    D Dalgade, M Joshi, N Patil
    Available at SSRN 4752583 , 2024
    2024
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Music Genre Classification Using MFCC, K-NN and SVM Classifier
    NM Patil
    International Journal Of Computer Engineering In Research Trends 4 (2), 43-47 , 2017
    2017
    Citations: 53
  • Content-based audio classification and retrieval using segmentation, feature extraction and neural network approach
    NM Patil, MU Nemade
    Advances in computer communication and computational sciences, 263-281 , 2019
    2019
    Citations: 24
  • NLP based text summarization using semantic analysis
    HS Moiyadi, H Desai, D Pawar, G Agrawal, NM Patil
    International Journal of Advanced Engineering, Management and Science 2 (10 … , 2016
    2016
    Citations: 14
  • Data Transmission using AES-RSA Based Hybrid Security Algorithms
    N Patil
    International Journal on Recent and Innovation Trends in Computing and … , 2015
    2015
    Citations: 14
  • Predicting solar energy generation with machine learning based on AQI and weather features
    A Shah, V Viswanath, K Gandhi, NM Patil
    arXiv preprint arXiv:2408.12476 , 2024
    2024
    Citations: 12
  • Cricket team prediction using machine learning techniques
    NM Patil, BH Sequeira, NN Gonsalves, AA Singh
    Available at SSRN 3572740 , 2020
    2020
    Citations: 12
  • Multiframe Image Restoration Using Generative Adversarial Networks
    NMPSP M. Velammal, Thiyam Ibungomacha Singh
    ICTACT Journal on Image and Video Processing, August 2023 24 (01), 3043-3048 , 2023
    2023
    Citations: 10
  • Book recommendation system using machine learning and collaborative filtering
    A Bachhav, A Ukirade, N Patil, M Saswadkar, N Shivale
    International Journal of Advanced Research in Science, Communication and … , 2022
    2022
    Citations: 10
  • Computer vision-based cybersecurity threat detection system with GAN-enhanced data augmentation
    P Ranka, A Shah, N Vora, A Kulkarni, N Patil
    International Conference on Soft Computing and its Engineering Applications … , 2023
    2023
    Citations: 9
  • Content-based audio classification and retrieval: A novel approach
    NM Patil, MU Nemade
    2016 International Conference on Global Trends in Signal Processing … , 2016
    2016
    Citations: 8
  • Predict foreign currency exchange rates using machine learning
    N Patil, S Masih, J Rumao, V Gaurea
    Second International Conference on Sustainable Technologies for … , 2021
    2021
    Citations: 7
  • Early churn prediction from large scale user-product interaction time series
    S Bhattacharjee, U Thukral, N Patil
    2023 International Conference on Machine Learning and Applications (ICMLA … , 2023
    2023
    Citations: 6
  • Deep Learning-Enabled Smart Glove for Real-Time Sign Language Translation
    NP Urav Dalal, Aasmi Thadhani, Mahek Upadhye, Shreya Shah, Meera Narvekar
    Journal of Electrical Systems 20 (10s), 4874 - 4882 , 2024
    2024
    Citations: 5
  • Infectious Disease Forecasting in India using LLM's and Deep Learning
    C Shah, K Gandhi, J Shah, K Shah, N Patil, K Bhowmick
    arXiv preprint arXiv:2410.20168 , 2024
    2024
    Citations: 4
  • Automated ultrasound doppler angle estimation using deep learning
    N Patil, A Anand
    2019 41st Annual International Conference of the IEEE Engineering in … , 2019
    2019
    Citations: 4
  • IoT based environment pollution monitoring system
    NM Patil, R Jain, S Sankhe, K Vichare, A Wankhede
    International Journal on Recent and Innovation Trends in Computing and … , 2018
    2018
    Citations: 4
  • Audio signal deblurring using singular value decomposition (SVD)
    NM Patil, MU Nemade
    2017 IEEE International Conference on Power, Control, Signals and … , 2017
    2017
    Citations: 4
  • Speech Synthesis Using Android
    SS Sangle, NM Patil
    International Journal of Innovative Research and Development|| ISSN, 2278-0211 , 2014
    2014
    Citations: 4
  • Hybrid Approach Combining Ultrasound and Blood Test Analysis with A Voting Classifier for Accurate Liver Fibrosis and Cirrhosis Assessment
    AK Sean Fargose, Kapil Kashyap, Chrisil Dabre, Fatema Dolaria, Nilesh Patil
    Journal of Neonatal Surgery 14 (17s), 903-912 , 2025
    2025
    Citations: 3
  • TeenSenti-A novel approach for sentiment analysis of short words and slangs
    S Kamath, V Padiya, S D'Silva, N Patil, M Narvekar
    2024 International Conference on Advances in Modern Age Technologies for … , 2024
    2024
    Citations: 3