Dr. Jitendra Chandrakant Musale

@abmspcoerpune.org

Assistant Professor Computer Engineering
ABMSP's Anantrao Pawar College of Engineering and Research Parvati Pune

Dr. Jitendra Chandrakant Musale


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https://researchid.co/jitendram

EDUCATION

Dr. Jitendra Chandrakant Musale is Assistant Professor of Department of Computer Engineering at Anantrao Pawar College of engineering and Research Parvati pune-09. Prof. Jitendra Chandrakant Musale has obtain his PhD in Computer Science and Engineering from Shri Jagdishprasad Jhabarmal Tibrewala University JJTU Rajasthan, India. Master in Technology degree in Computer Science and Engineering from Jawaharlal Nehru Technological University Hyderabad, Kukatpally, Hyderabad - 500 085, Telangana, India, Master in Business Administration degree in Information Technology and Project management from Karnataka State Open University, Mukhtagangotri, Mysuru, Karnataka - 570006 and Bachlor of Engineering degree in Information Technology from Savitribai Phule Pune University, Ganeshkhind Rd, Ganeshkhind, Pune, Maharashtra 411007.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science
23

Scopus Publications

117

Scholar Citations

6

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • HANN-Ada-VeSO: hybrid activation enabled neural network for crop recommendation in IoT networking-based smart agricultural systems
    Amit A. Kadam, Jitendra Chandrakant Musale
    Modeling Earth Systems and Environment, 2026
  • UIM-DUDnCNN: illumination map-based denoiser and inceptionV3-based transfer learning in deep convolutional neural network for facial recognition
    Jitendra Chandrakant Musale, Amit A. Kadam
    Imaging Science Journal, 2026
    Facial Recognition technology analyzes and maps the unique features of a person's face to verify their identity. However, the performance of most of the existing methods relies on high-quality images and requires advanced image denoising to remove the noise, causing prediction errors in recognition systems. Hence, this research proposes the Inception V3-based Transfer Learning enabled Deep Convolutional Neural Network with Multi-Attention Mechanism (IV3TL-DCNN-MA) to achieve effective facial recognition. Specifically, the proposed method exploits the Upgraded Illumination Map-enabled Dilated U-shaped Denoising Convolution Network with Predator-Prey-Hunter Optimization (UIM-DUDnCNN-PPHO) method for producing the denoised image, while preserving fine details, which, in turn, contributes to enhancing the facial recognition. Besides, the features extracted using Deep Statistical Multi-Weighted Hyperbolic (DSMH) enhance the facial recognition. Experimental validation demonstrates that the proposed model outperforms the other existing methods by achieving a high accuracy value of 97.24% on the Casia webface dataset, and 98.08% on the Face recognition dataset.
  • MECC-E2CDS: Secure e-voting system using modified elliptic curve cryptography-based elgamal elliptic curve digital signature
    Amit A. Kadam, Jitendra Chandrakant Musale
    Discrete Mathematics Algorithms and Applications, 2026
    Electronic voting (e-voting) is becoming progressively popular due to its unique ability to cast votes from any place and anywhere. Conventional voting systems are time-consuming, non-remote, and less secure. Hence, various types of e-voting schemes have been introduced to overcome the issues of traditional voting systems; however, they have faced several concerns over privacy, legitimacy, security, and transparency. This research proposed a Modified Elliptic Curve Cryptography-based Elgamal Elliptic Curve Digital Signature (MECC-E 2 CDS) algorithm for a secure e-voting system at the university level, which tackles the constraints of existing methods. The proposed MECC-E 2 CDS algorithm is integrated using Modified Elliptic Curve Cryptography (MECC) and Elgamal Elliptic Curve Digital Signature (E 2 CDS) algorithm, which offers a higher level of security by performing both encryption and signature generation to encrypt the generated vote. Moreover, these algorithms ensure fairness and enable long-term security during the voting process. Additionally, the MECC-E 2 CDS algorithm uses a Blockchain InterPlanetary File System (IPFS) mechanism to store the encrypted e-vote and biometric data securely. The proposed MECC-E 2 CDS algorithm achieves superior results, and the values obtained for blockchain gas usage, blockchain transaction time, decryption time, encryption time, genuine user ratio, and memory usage are 116.36, 0.0596, 0.00045, 0.000444, 93.26[Formula: see text]ms, and 10.14[Formula: see text]kb, respectively.
  • Effective face recognition from video using enhanced social collie optimization-based deep convolutional neural network technique
    Jitendra Chandrakant Musale, Anuj kumar Singh, Swati Shirke
    Journal of Visual Communication and Image Representation, 2026
  • AI-powered basketball analytics: YOLOv11based player, ball, and hoop detection with pose estimation, AI commentary, and shot prediction
    Jitendra Musale, Abhishek Khomane, Abhishek Adsul, Rahul Dhope, Kundlik Gavhane
    Artificial Intelligence Computational Intelligence and Inclusive Technologies Proceedings of International Conference on Artificial Intelligence Computational Intelligence and Inclusive Technologies Icraic2it 2025, 2026
  • Image Caption Generation Using LSTM and Attention Method
    Omkar Dadasaheb Ithape, Jitendra Musale, Mohsin Mohammad Rafeek Kokani, Shruti Nitin Bairagi, Pushpa Tulashidas Paranjape
    Lecture Notes in Electrical Engineering, 2026
  • ILMNetCNN: optimization enabled incremental learning based mobilenet for face detection and recognition from drone images
    Jitendra Chandrakant Musale, Amit A. Kadam
    Signal Image and Video Processing, 2025
  • Deeflyzer: Enhancing Media Integrity Through Advanced Deepfake Detection
    Charudatta Sunil Thakare, Riya Girish Kshirsagar, Soham Vijay Kolapkar, Shantanu Manoj Shinde, Jitendra Musale
    Proceedings of 3rd IEEE International Conference on Knowledge Engineering and Communication Systems Ickecs 2025, 2025
    Deepfake technology has advanced significantly, leading to the creation of highly realistic yet artificially manipulated media. The rapid advancement of generative adversarial networks (GANs) and specialized deep learning techniques, including InceptionV3, XceptionNet, and EfficientNet, has further complicated the detection of deepfakes, necessitating the development of robust detection mechanisms. Datasets such as ASVspoof 2019, FaceForensics++, Celeb-DF, and the DeepFake Detection Challenge (DFDC) have significantly contributed to research by providing diverse benchmarks for training and evaluation. Detection methods span feature extraction, temporal consistency analysis, multi-modal learning, and adversarial training. Feature extraction-based approaches leverage CNNs to identify spatial artifacts, while temporal analysis captures inconsistencies in motion or lip synchronization. Multi-modal learning integrates audio and visual features to improve detection accuracy. After extensive testing and evaluation, our findings indicate that among the numerous models and datasets analyzed, InceptionV3 consistently outperforms others in identifying spatial anomalies in deepfake content. Similarly, DFDC emerges as the most comprehensive dataset for video deepfake detection, while ASVspoof 2019 remains unmatched for audio deepfake detection. These insights highlight critical tools for advancing the fight against deepfake threats and guiding future innovations in detection systems.
  • Incremental Context Distillation: A Tiered Memory Architecture for Efficient, Long-Context Conversational AI
    Adhiraj Ajaykumar Jagtap, Jitendra Musale, Vaibhav Shelke, Parth Takate, Indra Kale
    2025 IEEE Pune Section International Conference Punecon 2025, 2025
    State-of-the-art conversational agents built on Large Language Models (LLMs) are constrained by finite context windows and escalating computational costs. As dialogues lengthen, the naive approach of including the entire conversational history with each turn leads to prohibitive latency and API expenses, while simple truncation results in a significant loss of conversational coherence. To address this challenge, we propose Incremental Context Distillation (ICD), a novel memory management architecture for LLMs. ICD utilizes a tiered system comprising a volatile Short-Term Memory (STM) and a persistent, hierarchically compressed Long-Term Memory (LTM). The system periodically distills conversational turns from the STM into concise summaries, which are then integrated into the LTM. The LTM itself undergoes recursive compression to maintain a bounded token footprint. Our experiments, conducted over simulated 50-turn dialogues, demonstrate that ICD reduces the total token load by an average of 78% and API costs by 72% compared to a full-context baseline, while incurring only a negligible 4% reduction in human-rated coherence scores. This work presents a practical and effective solution for enabling long, coherent, and cost-efficient conversations with modern LLMs.
  • Innovative IoT System and Machine Learning Approach for Predictive Maintenance Identification in Industrial Machines
    Kuldeep Chouhan, K. Geetha, Narender Chinthamu, Pankaj Negi, V. Kamalakar
    Technological Applications for Smart Sensors Intelligent Applications for Real Time Strategies, 2025
    This research aims to develop a system for maintaining optimal relative humidity (RH) and temperature within a room environment using an air conditioning (AC) unit. The proposed system integrates temperature and relative humidity sensors to continuously monitor the environmental conditions, while a central control unit regulates the AC operation based on realtime sensor readings. The experimental setup consists of the sensors, AC unit, and control unit, and a series of experiments are conducted to evaluate 428 the system’s effectiveness. The obtained results demonstrate the system’s ability to achieve and maintain the desired conditions. The temperature readings remain within a comfortable range, while the relative humidity levels are well-controlled. The AC operation consistently adjusts to cooling mode, actively regulating the room’s temperature and humidity. The proposed system offers various applications, including maintaining comfortable indoor environments, preserving sensitive equipment, or controlling specific processes requiring precise RH and temperature control. Additionally, it has the potential for energy savings by adapting the AC operation based on real-time conditions, minimizing unnecessary energy consumption. In conclusion, this research presents a system that effectively regulates RH and temperature in a room environment, contributing to the development of smart systems for optimal environmental control, enhancing user comfort, and promoting energy efficiency.
  • Plastic Waste Detection Using YOLOv5 Deep Learning Object Detection Algorithm
    Rima Prasad, Jitendra Musale, Dewendra Bharambe, Pranil Dhanke, Dhanashri Nagare, Pratiksha Nale
    Lecture Notes in Computer Science, 2025
  • Image Caption Generator with CLIP Interrogator
    Adhiraj Ajaykumar Jagtap, Jitendra Musale, Sambhaji Nawale, Parth Takate, Indra Kale, Saurabh Waghmare
    2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2025, 2025
  • IOT-Based Home Automation: Privacy and Security Challenges
    Vaibhav Shelke, Jitendra Musale, Devendra Bharambe, Himanshu Dhayarkar, Sudesh Nawale, Aviraj Sathe
    Lecture Notes in Networks and Systems, 2025
  • Facial Recognition from Video Using Enhanced Social Collie Optimization-Based Deep Convolutional Neural Network Technique
    Jitendra Chandrakant Musale, Anuj Kumar Singh, Swati D. Shirke
    Wireless Personal Communications, 2024
  • Effective face recognition with hybrid distance-key frame selection using TBO-ensemble model
    Jitendra Chandrakant Musale, Anujkumar Singh, Swati Shirke
    International Journal of Wavelets Multiresolution and Information Processing, 2024
  • Cyber-Bullying Detection on Social Medial Using Machine Learning
    Pranav Sandip Chavan, Jitendra Musale, Rahul Thorat, Gayatri Santosh Rede, Disha Dnyanmal Bora, Siddhi Mahesh Dalvi
    Proceedings of the 2024 13th International Conference on System Modeling and Advancement in Research Trends Smart 2024, 2024
  • Enhancing Web Traffic Security:A Deep Learning Approach to Defend Against Traffic Analysis Attack
    Durdharsh Swami, Jitendra Musale, Amruta More, Shreyash Wadshingkar, Niranjan Ghadghe, Atharv Garudkar
    Proceedings of International Conference on Emerging Technologies and Innovation for Sustainability Emergin 2024, 2024
  • Chat-bot Health-Care Application using Artificial Intelligence
    Samiksha Dnyaneshwar Gharge, Jitendra Musale, Pranjali More, Sharvil Dilip Khade, Charudatta Sunil Thakare, Aliya Javid Maneri
    2024 MIT Art Design and Technology School of Computing International Conference Mitadtsocicon 2024, 2024
  • Stock Market Prediction Using ML
    Prathamesh Zad, Jitendra Musale, S. J. Nawale, Shivam Shelke, Sai Lahane, Ganesh Kokare, Shankar Niture
    Multifaceted Approaches for Data Acquisition Processing and Communication, 2024
  • SecureSense : AI/ML Based Anomaly Detection Tool
    Atharva Digamber Katurde, Jitendra Musale, Anil Lohar, Soham Vijay Kolapkar, Bhakti Bharat Shinde, Kunal Bhausaheb Shinde, Zaid Jamir Tamboli, Riya Girish Kshirsagar
    2024 International Conference on Intelligent Systems for Cybersecurity Iscs 2024, 2024
  • Face Recognition From Video Using Enhanced Social Collie Optimization-based Deep Convolutional Neural Network
    Jitendra Chandrakant Musale, Anuj Kumar Singh, Swati Shirke
    2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
  • An Effective Approach for Image Denoising Using Wavelet Transform Involving Deep Learning Techniques
    Abhay Shukla, K. Seethalakshmi, P Hema, Jitendra Chandrakant Musale
    Proceedings of the 4th International Conference on Smart Electronics and Communication Icosec 2023, 2023
  • Improved Pattern Recognition Techniques for Monitoring Human Activity Recognition in Digital Platforms through Image Processing Techniques
    V. Sumathi, D. Vanathi, Jitendra Chandrakant Musale, T V S Gowtham Prasad, Amit Raj Singh
    Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2023, 2023

RECENT SCHOLAR PUBLICATIONS

  • MECC-E 2 CDS: Secure e-voting system using modified elliptic curve cryptography-based elgamal elliptic curve digital signature
    AA Kadam, JC Musale
    Discrete Mathematics, Algorithms and Applications, 2650016 , 2026
    2026
  • UIM-DUDnCNN: illumination map-based denoiser and inceptionV3-based transfer learning in deep convolutional neural network for facial recognition
    JC Musale, AA Kadam
    The Imaging Science Journal 74 (1), 57-94 , 2026
    2026
  • HANN-Ada-VeSO: hybrid activation enabled neural network for crop recommendation in IoT networking-based smart agricultural systems
    AA Kadam, JC Musale
    Modeling Earth Systems and Environment 12 (1), 51 , 2026
    2026
  • Incremental Context Distillation: A Tiered Memory Architecture for Efficient, Long-Context Conversational AI
    AA Jagtap, J Musale, V Shelke, P Takate, I Kale
    2025 IEEE Pune Section International Conference (PuneCon), 1-6 , 2025
    2025
  • ILMNetCNN: optimization enabled incremental learning based mobilenet for face detection and recognition from drone images
    JC Musale, AA Kadam
    Signal, Image and Video Processing 19 (14), 1215 , 2025
    2025
  • Effective face recognition from video using enhanced social collie optimization-based deep convolutional neural network technique
    JC Musale, A kumar Singh, S Shirke
    Journal of Visual Communication and Image Representation, 104639 , 2025
    2025
    Citations: 1
  • Innovative IoT System and Machine Learning Approach for Predictive Maintenance Identification in Industrial Machines
    S Ravichandran, A Bhagyalakshmi, JC Musale, MR Prabhu, NA Kumar
    Technological Applications for Smart Sensors, 483-501 , 2025
    2025
  • Deeflyzer: Hybrid Model to Detect Complex Deepfake in Digital Media
    S Kolapkar, R Kshirsagar, C Thakare, S Shinde, J Musale
    International Conference on Advances and Applications in Artificial … , 2025
    2025
  • Implementation of Digital twin Technology for Predictive Crop Disease Monitoring
    S Vanjare, J Musale, P More, T Sayyad, Y Gupta, S Shikre
    International Conference on Recent Advancements and Modernisations in … , 2025
    2025
    Citations: 2
  • Bharat charge alliance: Essential to India's electric vehicle transition
    J Musale, P More, V Dahale, S Whaval, S Shinde, S Yadav
    Advances in Science, Engineering and Technology, 539-544 , 2025
    2025
  • Deeflyzer: Enhancing Media Integrity Through Advanced Deepfake Detection
    CS Thakare, RG Kshirsagar, SV Kolapkar, SM Shinde, J Musale
    2025 International Conference on Knowledge Engineering and Communication … , 2025
    2025
  • Image caption generator with CLIP interrogator
    AA Jagtap, J Musale, S Nawale, P Takate, I Kale, S Waghmare
    2025 IEEE International Conference on Interdisciplinary Approaches in … , 2025
    2025
    Citations: 4
  • Stock Market Prediction Using ML
    JC Musale
    Multifaceted approaches for Data Acquisition, Processing & Communication … , 2025
    2025
  • Cyber-Bullying Detection on Social Medial Using Machine Learning
    SMD P. S. Chavan, J. Musale, R. Thorat, G. S. Rede, D. D. Bora
    13th International Conference on System Modeling & Advancement in … , 2025
    2025
  • Virtual business card using NFC technology
    AS Doiphode, J Musale, AM Chaphe, RT Trivedi, K Dhumal
    Recent Advances in Sciences, Engineering, Information Technology … , 2025
    2025
  • Digital business card using NFC-enabled card
    AS Doiphode, J Musale, RT Trivedi, K Dhumal, AM Chaphe
    Recent Advances in Sciences, Engineering, Information Technology … , 2025
    2025
  • Virtual business card using NFC technology
    K Dhumal
    Recent Advances in Sciences, Engineering, Information Technology … , 2025
    2025
    Citations: 2
  • Enhancing Web Traffic Security: A Deep Learning Approach to Defend Against Traffic Analysis Attack
    D Swami, J Musale, A More, S Wadshingkar, N Ghadghe, A Garudkar
    2024 International Conference on Emerging Technologies and Innovation for … , 2024
    2024
  • Cyber-Bullying Detection on Social Medial Using Machine Learning
    PS Chavan, J Musale, R Thorat, GS Rede, DD Bora, SM Dalvi
    2024 13th International Conference on System Modeling & Advancement in … , 2024
    2024
    Citations: 3
  • Plastic Waste Detection Using YOLOv5 Deep Learning Object Detection Algorithm
    R Prasad, J Musale, D Bharambe, P Dhanke, D Nagare, P Nale
    International Conference on Pattern Recognition, 226-238 , 2024
    2024
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Suspicious movement detection and tracking of human behavior and object with fire detection using a closed circuit TV (CCTV) cameras
    J Musale, A Gavhane, L Shaikh, P Hagwane, S Tadge
    International Journal for Research in Applied Science & Engineering … , 2017
    2017
    Citations: 15
  • An effective approach for image denoising using wavelet transform involving deep learning techniques
    A Shukla, K Seethalakshmi, P Hema, JC Musale
    2023 4th International Conference on Smart Electronics and Communication … , 2023
    2023
    Citations: 11
  • SecureSense: AI/ML based anomaly detection tool
    AD Katurde, J Musale, A Lohar, SV Kolapkar, BB Shinde, KB Shinde, ...
    2024 International Conference on Intelligent Systems for Cybersecurity (ISCS … , 2024
    2024
    Citations: 9
  • Web scraping for e-commerce website
    V Deshmane, P Musale, P Joshi, V Chinta, K Gokak, I Dalbhanjan
    International Journal for Innovative Engineering & Management Research 13 (4) , 2024
    2024
    Citations: 8
  • Conversion of sign language to text
    A Kamble, J Musale, R Chalavade, R Dalvi, S Shriyal
    International Journal for Research in Applied Science & Engineering … , 2023
    2023
    Citations: 8
  • Data Security System in Cloud by Using Fog Computing and Data Mining
    SP Musale Jitendra, YA Deshmukh Romit, Ghodake Rohit
    International Journal of Advanced Research in Computer Science and Software … , 2017
    2017
    Citations: 7
  • Personalized adaptive learning technologies based on AI-ML
    A Sharad Jagtap, P Sharad Khartalkar, V Rajiv Choudhary, ...
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
    Citations: 6
  • Chat-bot Health-Care Application using Artificial Intelligence
    SD Gharge, J Musale, P More, SD Khade, CS Thakare, AJ Maneri
    2024 MIT Art, Design and Technology School of Computing International … , 2024
    2024
    Citations: 6
  • Tri Bird Technique for Effective Face Recognition Using Deep Convolutional Neural Network
    JC Musale, AK Singh, S Shirke, R Rathod
    Proceedings of the Fourth International Conference on Advances in Computer … , 2023
    2023
    Citations: 5
  • Improved pattern recognition techniques for monitoring human activity recognition in digital platforms through image processing techniques
    V Sumathi, D Vanathi, JC Musale, TVSG Prasad, AR Singh
    2023 Second International Conference on Augmented Intelligence and … , 2023
    2023
    Citations: 5
  • Data Security System in Cloud by Using Fog Computing and Data Mining
    YA Musale Jitendra, Sangle Parashar, Deshmukh Romit, Ghodake Rohit
    International Journal 7 (3) , 2017
    2017
    Citations: 5
  • Data Security System in Cloud by Using Fog Computing and Data Mining
    SP Musale Jitendra, R Deshmukh, R Ghodake, A Yadav
    International Journal Of Engineering And Computer Science ISSN: 2319-7242 5 … , 2016
    2016
    Citations: 5
  • Image caption generator with CLIP interrogator
    AA Jagtap, J Musale, S Nawale, P Takate, I Kale, S Waghmare
    2025 IEEE International Conference on Interdisciplinary Approaches in … , 2025
    2025
    Citations: 4
  • Facial Recognition from Video Using Enhanced Social Collie Optimization-Based Deep Convolutional Neural Network Technique
    JC Musale, AK Singh, SD Shirke
    Wireless Personal Communications 139 (3), 1393-1421 , 2024
    2024
    Citations: 4
  • Cyber-Bullying Detection on Social Medial Using Machine Learning
    PS Chavan, J Musale, R Thorat, GS Rede, DD Bora, SM Dalvi
    2024 13th International Conference on System Modeling & Advancement in … , 2024
    2024
    Citations: 3
  • Enhanced Social Collie Optimization for Effective Face Recognition
    J Musale, A Singh
    JJTU Journal of Renewable Research Journal 11 (4), 132-143 , 2023
    2023
    Citations: 3
  • Visual secret sharing with a secure approach
    JC Musale
    IJRESTs) International Journal for Research in Engineering Science and … , 2016
    2016
    Citations: 3
  • Implementation of Digital twin Technology for Predictive Crop Disease Monitoring
    S Vanjare, J Musale, P More, T Sayyad, Y Gupta, S Shikre
    International Conference on Recent Advancements and Modernisations in … , 2025
    2025
    Citations: 2
  • Virtual business card using NFC technology
    K Dhumal
    Recent Advances in Sciences, Engineering, Information Technology … , 2025
    2025
    Citations: 2
  • Detection of fake online review using machine learning
    A Parekar, P Musale, S Joshi, C Attar, R Shaikh, R Salve
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
    Citations: 2