I am an assistant professor at Vishwakarma Institute of Technology in Pune, India. With 10 years of teaching experience and 3 years of industry experience, I bring a unique perspective to the classroom. I earned a Bachelor's degree in Electronics from Mumbai University and a Master's degree in Microelectronics from BITS-Pilani. After completing education, I worked for Larsen and Toubro Ltd, Mumbai for 1 year and ST Microelectronics for 2 years before transitioning to teaching. I am known for innovative teaching methods and dedication to my students' success. I have published numerous research papers and has presented at national and international conferences. My research interests include researching algorithms and techniques for detecting and recognizing objects in images and videos, and improving the accuracy of these techniques, developing algorithms for analyzing and understanding videos, such as action recognition, event detection, and anomaly detection.
EDUCATION
BE Electronics Engineering - 2004, ME Microelectronics - 2008
RESEARCH INTERESTS
Computer Vision, Machine Learning, Deep Learning
109
Scopus Publications
276
Scholar Citations
8
Scholar h-index
5
Scholar i10-index
Scopus Publications
Leveraging Deep Learning for Live Attendance Monitoring in the Class Rushikesh Borse, Shripad Bhatalawande, Swati Shilaska, Avinash Bhute, Jyoti Madake, Anjali Solanke, Harsha Bhute, Rajas Chitale Engineered Science, 2026 Even in the current times, many institutes still follow the traditional practice of taking attendance manually which is time-consuming.It has several problems like: proxy-attendance, manual record keeping of data, sharing etc.To overcome these problems, a paperless-automated attendance monitoring technique is proposed, which is implemented using deep-learning models.The system is unique in many aspects compared to other automatic attendance monitoring systems.Firstly, it quickly creates a versatile database of participants using the Structural Similarity Index metric.This ensures that the database of the subject is collected in numerous, yet unique poses.This improves the detection accuracy of the deep learning model.The second significant feature addresses the issue of an unknown subject.This is implemented using Deep Open Classification method.The third important factor is about data management.While attendance is marked live without disturbing the regular teaching in the class, the same is also recorded systematically with the help of SQL database, and a weekly update of this attendance is automatically reported by email to faculty and the guardian.The whole procedure was implemented using various deep learning models and the best of the results was recorded using the deep learning EfficientNet model with an accuracy of 97.8%.
Automated real-time cervical cancer diagnosis using NVIDIA Jetson Nano Pallavi Mulmule, Swati Shilaskar, Shripad Bhatlawande, Vedant Mulmule, Vaishali H Kamble, Jyoti Madake Bulletin of Electrical Engineering and Informatics, 2025 Cervical cancer is a global health concern, making early detection critical for ensuring effective treatment outcomes. Screening technique, the Papanicolaou test (Pap test), has been adopted globally for timely detection. Nevertheless, the process of screening is subjective. The current study aims to advance the development of an automated real time framework for cervical cell analysis for early-stage diagnosis using supervised classification on NVIDIA Jetson Nano platform. Our approach, leveraging adaptive fuzzy k-means (AFKM) clustering and k-means clustering, extracts distinctive features from cervical cell images for accurate classification. Utilizing multilayer perceptron (MLP) and support vector machine (SVM) classifiers, we achieved a classification accuracy of 97%, highlighting the potential of our system for real-time applications in cervical cancer investigation. Validation by two expert pathologists further supports the system’s practical utility.
A gamified online learning environment with comprehensive assessments and software integration Swati Shilaskar, Shripad Bhatlawande, Rupali Deshpande, Shivam Shinde, Jyoti Madake, Anjali Solanke International Journal of Advances in Applied Sciences, 2025 The National Achievement Survey (NAS), conducted by the Ministry of Education, India, highlighted a concerning decline in mathematics proficiency among students in Maharashtra as they advance through grades. This trend is further aggravated by the limited availability of online resources in Marathi, hindering their learning progress. To address this, a pilot study was proposed to develop a specialized online platform tailored for Marathi medium students, integrating gamification and artificial intelligence (AI)-driven feedback to enhance engagement and comprehension. The pilot project, conducted at a Marathi medium school with approval from the principal, focused on polynomial division tests for 8th-grade students over four days. Results revealed that despite the easy level test's higher difficulty, students scored higher on the medium level test, possibly due to an adjustment period to the online platform. Notably, some students performed better on the hard-level test, indicating the platform's potential to improve performance. While promising, the study's limitations, including a small sample size, highlight the need for further research with a larger cohort and the integration of automatic suggestions for concept-specific games and assessments in future iterations to optimize the platform's effectiveness.
A scalable structure-from-motion framework for efficient 2D-to-3D reconstruction of historical artifacts Swati Shilaskar, Shripad Bhatlawande, Sourjadip Pramanik, Anshul Surana, Jyoti Madake, Anjali Solanke Journal of Integrated Science and Technology, 2025 Virtual museums are becoming increasingly popular, offering accessibility and engagement with historical artifacts for wider audiences. However, creating high-quality 3D models of artifacts can be time-consuming and expensive. Addressing these issues, we propose a comprehensive SFM based 2D-to-3D reconstruction method that enhances accessibility and scalability. Our approach integrates efficient camera calibration achieving up to 95% accuracy, robust feature detection and matching using algorithms such as SIFT, ORB, and AKAZE, and employs pose estimation, triangulation, and bundle adjustment to ensure high accuracy and detail. The method is lightweight, minimizing computational load, and is implemented on a user-friendly web-based platform. The solution demonstrated promising results, with reprojection errors as low as 15%, and effective 3D reconstructions of artifacts. Applications include virtual museums and the preservation and virtualization of artifacts, providing an interactive and immersive experience for users.
Edu3D: From Diagrams to Interactive 3D Models Jyoti Madake, Aymaan Kazi, Pushkar Kulkarni Proceedings of the 4th International Conference on Intelligent Computing Information and Control Systems Icoiics 2025, 2025 Monocular depth estimation is a fundamental challenge in 3D reconstruction, enabling applications from robotics to virtual content creation. This study presents an optimized pipeline for converting single-view depth predictions into high-quality 3D meshes ready for Blender integration. Our approach begins with bilateral filtering of raw depth maps to reduce noise while preserving edges, followed by K-means clustering to segment the scene into geometrically meaningful regions. We then apply farthest point sampling to maintain structural integrity during downsampling, and reconstruct the surface using both Poisson reconstruction (for organic shapes) and ball pivoting (for sharp features). The resulting mesh is exported in industry-standard formats (PLY/OBJ) for seamless Blender integration. Our experiments demonstrate that this preprocessing and meshing pipeline significantly improves the usability of monocular depth estimation outputs for 3D modeling applications. The method balances computational efficiency with mesh quality, making it practical for real-time workflows while preserving critical geometric details.
In-Home Healthcare Station Using Raspberry Pi Pico Jyoti Madake, Swati Shilaskar, Shalmali Bhalerao, Sharayu Chakole Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iitcee 2025, 2025 In recent years, the fusion of sensor technology with embedded systems has proven its worth in the domain of personalized healthcare. The purpose of the In-home healthcare system lies in its continuous monitoring of the vital signs of a person and the environmental conditions of the surroundings as well, thereby ensuring the early detection of health issues. This results in swift preventive measures to be undertaken. The proposed system is the integration of multiple sensors namely- The pulse sensor for monitoring the BPM (Beats per minute), DHT11 for room temperature, DS18B20 for body temperature, and MQ135 for air quality on Raspberry Pi Pico. The data from the sensors is continuously monitored and analyzed, detects anomalies, and generates alarms for the same. The sensor data collected is continuously displayed on the OLED for easy monitoring. The system’s compact and portable design enables efficient functionality while minimizing space requirements, offering a novel approach to space-constrained applications.
NeuroDrive: An EEG-Based System for Virtual Driving and Robotic Car Navigation Jyoti Madake, Dhruvesh Kamble, Santosh Kandhare, Kapil Sangameshwar 2nd Asian Conference on Intelligent Technologies Acoit 2025, 2025 Brain–Computer Interfaces (BCIs) have emerged as promising tools for enabling hands-free control of external devices, particularly in assistive technology. This paper presents the development of a low-cost, non-invasive EEG-based mobility control system capable of interpreting four directional commands: Forward, Stop, Left, and Right. EEG signals are acquired using the Bio Amp EXG Pill and streamed via a Raspberry Pi Pico to a host PC. A dual-model machine learning architecture is implemented, with one binary classifier trained to distinguish Forward vs Stop and another for Left vs Right. Real-time classification is performed using features extracted from filtered EEG signals, and predicted commands are transmitted via serial communication to a Maker UNO board, which drives a DC motor-based robotic car. Among the models evaluated, the Random Forest classifier achieved the highest accuracy of 60.28%. The proposed architecture demonstrates real-time response and modularity, offering a practical and scalable solution for EEG-based assistive mobility. Future enhancements include onboard inference, GUI overlays, and expanded command sets.
Enhanced Satellite Image Resolution using Modified SwinIR Jyoti Madake, Apoorv Karmalkar, Manas Kasodekar, Vedant Keche Proceedings of 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things Icoici 2025, 2025
River Path Change Detection using Satellite Images Jyoti Madake, Shreeya Rahate, Arya Khairnar, Priya Belgamwar 2024 IEEE International Students Conference on Electrical Electronics and Computer Science Sceecs 2024, 2024
SceneGuide: An Indoor and Outdoor Scene Recognition Wearable Aid for Visually Impaired People International Journal of Intelligent Systems and Applications in Engineering, 2023
Vision-Based Squat Correctness System Jyoti Madake, Yash Wavare, Manasi Yadav, Shripad Bhatlawande 2023 IEEE International Conference on Blockchain and Distributed Systems Security Icbds 2023, 2023
Sanskrit OCR System Jyoti Madake, Yuvraj Yedle, Vaibhav Shahabade, Shripad Bhatlawande Communications in Computer and Information Science, 2023
Vision-Based Snake Species Classification System Jyoti Madake, Komal Shinde, Harshal Sonarkar, Shripad Bhatlawande Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2023, 2023
Vision-Based Location Recognition for Visually Impaired People Jyoti Madake, Akash Shekhavat, Madhuri Shelke, Shripad Bhatlawande Proceedings of IEEE 2023 5th International Conference on Advances in Electronics Computers and Communications Icaecc 2023, 2023
Vision-Based Detection of Water Hyacinth Jyoti Madake, Prerana Zope, Isha Wargad, Shripad Bhatlawande, Swati Shilaskar Proceedings International Conference on Computational Intelligence and Networks, 2022
Vision-Based Unattended Terrace Children Safety Alert System Jyoti Madake, Samruddha Tupe, Mayuresh Wadle, Pritesh Yenare, Shripad Bhatlawande, Swati Shilaskar 2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2022, 2022
Vision-Based Wilted Plant Detection Jyoti Madake, Sanket Shinde, Sumitsaurabh Singh, Shreyas Talwekar, Shripad Bhatlawande, Swati Shilaskar 2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2022, 2022
Vision-Based Detection of Hospital and Police Station Scene Jyoti Madake, Shivani Shinde, Abhijeet Shirsath, Niranjan Tapasvi, Shripad Bhatlawande, Swati Shilaskar Proceedings 2022 Oits International Conference on Information Technology Ocit 2022, 2022
Patient Monitoring System Shubham L Deshmukh, Favin Fernandes, Sakshi Kulkarni, Aniket Patil, Vaishali Jabade, Jyoti Madake Mysurucon 2022 2022 IEEE 2nd Mysore Sub Section International Conference, 2022
Point Cloud Registration for 3D Modelling Jyoti Madake, Shripad Bhatlawande, Swati Shilaskar, Saransh Kulkarni, Kartik Mehetre, Niraj Wani, Sachin Bangadkar 2022 3rd International Conference for Emerging Technology Incet 2022, 2022
Precision Farming Based Soil Fertility Assessment Techniques Mansi Phute, Jyoti Madake, Shripad Bhatlawande Access 2021 Proceedings of 2021 2nd International Conference on Advances in Computing Communication Embedded and Secure Systems, 2021
Indian sign language recognition, to assist communication between the hearing impaired J Madake, AK Kshirsagar, DN Kulkarni, SS Magdum Information and Communication Systems, 111-117 , 2026 2026
A Survey on High Performance Memory Pool Allocation for Fixed Size Linked List EM Pendse, SS Sangale, VA Sapkal, J Madake 2025 1st International Conference on Advancement in Futuristic Technologies … , 2025 2025
NeuroDrive: An EEG-Based System for Virtual Driving and Robotic Car Navigation J Madake, D Kamble, S Kandhare, K Sangameshwar 2025 2nd Asian Conference on Intelligent Technologies (ACOIT), 1-10 , 2025 2025
Automated real-time cervical cancer diagnosis using NVIDIA Jetson Nano P Mulmule, S Shilaskar, S Bhatlawande, V Mulmule, VH Kamble, ... Bulletin of Electrical Engineering and Informatics 14 (5), 4074-4085 , 2025 2025
SmartSight: Image Captioning-Driven Assistive Mobility System for Enhanced Scene Understanding J Madake, D Kamble, S Kandhare, K Sangameshwar, K Raina 2025 6th International Conference on Intelligent Communication Technologies … , 2025 2025
Enhancing Beach Conservation J Madake, J Mehta, S Nikumbh, N Chitriv Data Science and Applications: Proceedings of ICDSA 2024, Volume 6 6, 427 , 2025 2025
Circuit Defect Inspect: Circuit Board Defect Detection Using Modified Faster J Madake, N Kotwal, A Kshirsagar, K Kshirsagar, S Bhatlawande Computer Vision and Robotics: Proceedings of CVR 2024, 227 , 2025 2025
A scalable structure-from-motion framework for efficient 2D-to-3D reconstruction of historical artifacts S Shilaskar, S Bhatlawande, S Pramanik, A Surana, J Madake, A Solanke Journal of Integrated Science and Technology 13 (5), 1120-1120 , 2025 2025 Citations: 2
Enhancing Visibility in Foggy Landmark Images: Advanced Restoration Methods J Madake, H Kulkarni, S Bhatlawande, S Korpade, R Kumbhar 2025 International Conference on Emerging Smart Computing and Informatics … , 2025 2025
In-Home Healthcare Station Using Raspberry Pi Pico J Madake, S Shilaskar, S Bhalerao, S Chakole 2025 International Conference on Intelligent and Innovative Technologies in … , 2025 2025
DocuSense AI: Document AI conversational platform using GenAI. J Madake, K Raina, A Kamble 2025
Recognition and localisation of staircases for visually impaired people J Madake, S Bhatlawande, R Nagdekar, S Munjewar, M Nimase, ... International Journal of Computational Vision and Robotics 15 (6), 719-738 , 2025 2025
Enhanced Depth Estimation for Stereo Images using SIFT Features J Madake, M Kulkarni, A Kothawade, S Lakhote 2024 International Conference on Sustainable Communication Networks and … , 2024 2024
Flooded Area Segmentation J Madake, R Mali, A Shahapure, P More, S Bhatlawande Innovations and Advances in Cognitive Systems: ICIACS 2024, Volume 1 1, 319 , 2024 2024
Stereo Matching for Terrain Mapping using Aerial Imagery J Madake, S Patwardhan, P Shah, S Bhatlawande 2024 4th Asian Conference on Innovation in Technology (ASIANCON), 1-8 , 2024 2024
Comparative study of different LLM's for Captioning Images to Help Blind People J Madake, M Sondur, S Morey, A Naik, S Bhatlawande 2024 International Conference on Emerging Techniques in Computational … , 2024 2024 Citations: 3
Enhancing Beach Conservation with SSD-Enabled Waste Detection J Madake, J Mehta, S Nikumbh, N Chitriv International Conference on Data Science and Applications, 427-437 , 2024 2024
Advancing Outdoor Landmark Detection: A Vision Transformer Approach J Madake, A Padwal, Y Pande, P Nevase, S Bhatlawande 2024 15th International Conference on Computing Communication and Networking … , 2024 2024 Citations: 1
Financial Inclusion for Visually Impaired People using YOLOv7Bank+ based Mobile Application J Madake, G Mane, V Mathe, P Masani 2024 15th International Conference on Computing Communication and Networking … , 2024 2024 Citations: 2
Intelligent Roadside Surveillance: Object Detection for Safer Driving Environments J Madake, M Gaikwad, J Nannaware, A Navandar International Conference on Innovations and Advances in Cognitive Systems … , 2024 2024 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
A qualitative and quantitative analysis of research in mobility technologies for visually impaired people J Madake, S Bhatlawande, A Solanke, S Shilaskar IEEE Access 11, 82496-82520 , 2023 2023 Citations: 70
Image tampering detection using error level analysis and metadata analysis J Madake, J Meshram, A Mondhe, P Mashalkar 2023 4th International Conference for Emerging Technology (INCET), 1-7 , 2023 2023 Citations: 11
Perceptguide: A perception driven assistive mobility aid based on self-attention and multi-scale feature fusion J Madake, S Bhatlawande, A Solanke, S Shilaskar IEEE Access 11, 101167-101182 , 2023 2023 Citations: 10
Study of object detection with faster RCNN S Bhatlawande, S Shilaskar, M Agrawal, V Ashtekar, M Badade, S Belote, ... 2022 2nd International Conference on Intelligent Technologies (CONIT), 1-6 , 2022 2022 Citations: 10
Artificial intelligence based crop recommendation and plant leaf disease detection system S Shilaskar, S Bhatlawande, S Godbole, D Joijode, P Jadhav, S Karoshi, ... 2022 3rd International Conference for Emerging Technology (INCET), 1-6 , 2022 2022 Citations: 10
CHESS AI: Machine learning and Minimax based Chess Engine J Madake, C Deotale, G Charde, S Bhatlawande 2023 International Conference for Advancement in Technology (ICONAT), 1-6 , 2023 2023 Citations: 9
SANIP: Shopping Assistant and Navigation for the visually impaired S Deshmukh, F Fernandes, A Chavan, M Ahire, D Borse, J Madake arXiv preprint arXiv:2209.03570 , 2022 2022 Citations: 8
Dense video captioning using BiLSTM encoder J Madake, S Bhatlawande, S Purandare, S Shilaskar, Y Nikhare 2022 3rd international conference for emerging technology (INCET), 1-6 , 2022 2022 Citations: 8
Vision-based monitoring of student attentiveness in an e-learning environment J Madake, S Shende, S Bhatlawande, R Shinde, S Govekar, S Shilaskar 2022 IEEE Pune Section International Conference (PuneCon), 1-6 , 2022 2022 Citations: 7
Pseudo-conventional approach for cyberbullying and hate-speech detection N Jain, A Hegde, A Jain, A Joshi, J Madake 2021 International Conference on Advances in Computing, Communication, and … , 2021 2021 Citations: 7
Vision-based system for road lane detection and lane type classification J Madake, D Gupta, S Bhatlawande, S Shilaskar Proceedings of International Conference on Recent Trends in Computing: ICRTC … , 2023 2023 Citations: 6
IoT based smart wearables for mine worker’s safety J Madake, V Parkhi, V Shahabade, V Jorvekar, M Yadav, Y Wavare, ... AIP Conference Proceedings 2938 (1), 030007 , 2023 2023 Citations: 5
Vision-Based Detection of Water Hyacinth J Madake, P Zope, I Wargad, S Bhatlawande, S Shilaskar 2022 5th International Conference on Computational Intelligence and Networks … , 2022 2022 Citations: 5
Patient monitoring system SL Deshmukh, F Fernandes, S Kulkarni, A Patil, V Jabade, J Madake 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), 1-6 , 2022 2022 Citations: 5
An intelligent system to detect violent mob activities P Yadav, P Regundwar, A Wyawahare, P Pawar, J Madake 2020 IEEE 17th India Council International Conference (INDICON), 1-10 , 2020 2020 Citations: 5
Crop-weed detection, depth estimation and disease diagnosis using YOLO and Darknet for Agribot: A precision farming Robot M Wyawahare, J Madake, A Sarkar, A Parkhe, A Khuspe, T Gaikwad International Conference on Paradigms of Communication, Computing and Data … , 2023 2023 Citations: 4
Tabular data extraction from documents J Madake, S Pandey Proceedings of International Conference on Recent Trends in Computing: ICRTC … , 2023 2023 Citations: 4
Pedestrian and vehicle detection for visually impaired people S Bhatlawande, S Dhande, D Gupta, J Madake, S Shilaskar International Conference on Communications and Cyber Physical Engineering … , 2023 2023 Citations: 4
Vision-based driver’s seat belt detection J Madake, S Yadav, S Singh, S Bhatlawande, S Shilaskar 2023 International Conference for Advancement in Technology (ICONAT), 1-5 , 2023 2023 Citations: 4
Vision-Based Traffic Hand Sign Recognition for Driver Assistance J Madake, H Salway, C Sardey, S Bhatlawande, S Shilaskar 2022 OITS International Conference on Information Technology (OCIT), 580-587 , 2022 2022 Citations: 4
