ENQUIRE NOW
Mukesh Patel School of Technology Management and Engineering

Associate Professor

  • Department:- STME
  • Educational Qualification (Highest to Lowest):- Ph.D., M.Tech.,B.E.
  • Area of Specialization:-Computer Vision, Deep Learning
  • Total Work Experience:-22 years
  • Teaching:- 20 years
  • Industry:- 2 years
  • Email ID:- jayesh.gangrade@nmims.edu

Certifications/Diploma:-

  • GATE Score more than 95 percentiles: 5 times
  • Coursera Certified in “Generative AI”,2024.
  • Coursera certified in “Machine learning”, Stanford 2020.
  • TCS Procert certified in “Analytics”, 2019.
  • NPTEL certified in “Python for Data Science”,2019.
  • NPTEL certified in “Machine Learning” from IIT Madras, 2019.
  • Oracle certified in “Database Fundamentals”, 2022.
  • Coursera certified in “Python Data structure”, 2022.
  • IBM Certified Academic Associate DB2 Database and Application Fundamentals in August 2011.
  • IBM Certified Associate Developer Rational Application Developer for Websphere software v6.0 in Nov 2011.
  • Microsoft certified in Database fundamental, 2014.
  • Microsoft certified in Software development, 2014

Awards & Achievements:-

  • Secured TOP position in MTech (CSE), MANIT Bhopal, 2008.

Total Conference Attended National & International:- 17

  • Priyam Srivastava, Aneerban Saha, Jayesh Gangrade, Kanwal Preet Kour, “
    Multi-Model Deep Learning Ensemble for Early Prediction of Gallbladder Cancer in Ultrasound Imaging”, 2025 World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS),IEEE,pp.1-6.
  • Aaryan Gupta, Jayesh Gangrade, Mansi Amarnani, Ranojit Palit, Arhaan Abdullah, Dhruv Mendiratta, “Skin Disease Detection using Deep Learning: A Comparative Analysis of CNN Models on the ISIC Dataset”,2nd International Conference on Computing and Machine Learning, Vol 73, 2025, Sikkim Manipal University.
  • Dharmendra Gupta, Jayesh Gangrade, Yadvendra Pratap Singh ‘Improving Ulcerative Colitis Diagnosis through VGG19 based transfer learning” Fifth International Conference, ICAPSM 2024, Tamil Nadu, India.
  • Punita Panwar, Sandeep Chaurasia, Jayesh Gangrade, Ashwini Bilandi, “Transfer Learning Based Features Extraction and Weightage Mean Ensemble Approach for Automated Knee Osteoarthritis Classification using MRI”, International conference on Recent Advancements in Artificial Intelligence, Jaipur,2025.
  • Dharmendra Gupta, Jayesh Gangrade, Yadvendra Pratap Singh ‘Ulcerative Colitis Diagnosis through Efficient Net transfer learning”, 6th International Conference, Emerging Technologies MICRO to NANO ETMN, 2024, Tamil Nadu, India.
  • Aarti Goswami, Sandeep Chaurasia, Jayesh Gangrade ‘Leveraging Mask R-CNN for Lower Limb Segmentation: A Compressive Study”, 6th International Conference, Emerging Technologies MICRO to NANO ETMN, 2024, Tamil Nadu, India.
  • Anirudh Singh, Satyam Kumar, Abhishek Kumar, and Jayesh Gangrade, “Violence Detection Through Deep Learning Model in Surveillance”, ICCAIML 2024, CCIS 2184, pp. 86–98, 2025.
  • Swati Pandey, Mayuri Gupta, Ashish Mishra, Ashutosh Mishra, and Jayesh Gangrade, Automated Potato Disease Classification Using Deep Learning – A Comparative Analysis of Convolutional Neural Networks ICCAIML 2024, CCIS 2184, pp. 328–345.
  • Aarti Goswami, Sandeep Chaurasia, and Jayesh Gangrade, Deep Learning Segmentation Method for Uneviling Lower Limb Deformative on the Knee, ICCAIML 2024, CCIS 2185, pp. 161–169.
  • Mayuri Gupta, Ashish Mishra, Ashutosh Mishra, and Jayesh Gangrade, Accelerated GPU-Based Clustering, Classification and Regression Using RAPIDS: A Comparative Study, ICCAIML 2024, CCIS 2184, pp. 239-253.
  • Panwar, P., Chaurasia, S., Gangrade, J. Classification of Knee Osteoarthritis Using Deep Learning a Rigorous Analysis. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. ICT4SD 2023. Lecture Notes in Networks and Systems, vol 765. Springer, 2023, Singapore. https://doi.org/10.1007/978-981-99-5652-4_44.
  • Gangrade, S. Gangrade, A. Mishra, G. Kumar, and V. K. Gunjan, “Indian Sign Language Recognition Using Scale-Invariant Feature Transform by Depth Sensor,” IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), Hamburg, Germany, 2023, pp. 626-631, doi: 10.1109/ICCCMLA58983.2023.10346613.
  • Sharma, J. Gangrade, S. Gangrade, A. Mishra, G. Kumar, and V. Kumar Gunjan, “Modified EfficientNetB3 Deep Learning Model to Classify Colour Fundus Images of Eye Diseases,” IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), Hamburg, Germany, 2023, pp. 632-638, doi: 10.1109/ICCCMLA58983.2023.10346769.
  • Panwar, P., Chaurasia, S., Gangrade, J. “Classification of Knee Osteoarthritis Using Deep Learning a Rigorous Analysis,” ICT Systems and Sustainability, Lecture Notes in Networks and Systems, vol 765. Springer, Singapore. https://doi.org/10.1007/978-981-99-5652-4_44.
  • Sourabh Dhakad, Jayesh Gangrade, Jyoti Bharti, Antriksh Somani “Real time Hand Gesture Recognition Using Histogram of Oriented Gradient with Support Vector machine”, NGCT, Dehradun pp.752- 760,2018.
  • Upadhyay and J. Gangrade, “Context Recognition by Ubiquitous Computing Using Smartphone,” 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2018, pp. 91-95, doi: 10.1109/ICIRCA.2018.8597256.
  • Jayesh Gangrade, Priyanka Palod “Coronary Heart Disease Prediction System Based on Association Rule Mining with Fuzzy Discriminant Support,” Proceedings of the 2014 Fourth International Conference on Advanced Computing & Communication Technologies. 237-242,2014

Total Patents :- 14

  • Satyam Kumar, Jayesh Gangrade, and Shweta Gangrade, Prakash Chandra Sharma “Intelligent Query Execution Framework with Real-Time Feedback and Multi-Source Retrieval”, Indian Patent,2025.
  • Satyam Kumar, Jayesh Gangrade, and Shweta Gangrade, Priya Goyal, “Dynamic Climate Impact Forecasting Engine with Real-Time Sentiment Adaptation and Adaptive Insight-Driven Scaling for Decision Support”, Indian Patent,2025,
  • Satyam Kumar, Jayesh Gangrade, and Shweta Gangrade ‘A System and Method for Customer Interaction Classification Using Sparse Embedding Optimization with Chebyshev Polynomials, Runge-Kutta Approximation and Gradient-Based Technique” Indian Patent ,2025.
  • Satyam Kumar, Jayesh Gangrade, and Shweta Gangrade “Fourier-Cholesky Hybrid Privacy Shield for Dynamic and Secure Synthetic Data Generation” Indian Patent, 2025.
  • Satyam Kumar, Jayesh Gangrade, and Shweta Gangrade “Safety-Enhanced Instruction-Hierarchical Multi-Agent Sentiment Classification with Dynamic Time Warping, Cross-Entropy, Drift Detection, and Reinforced Transition Optimization for Chatbots”, Indian Patent 2025.
  • Jayesh Gangrade, Anirudh Singh Satyam Kumar, Shweta Gangrade “Integrated CNN-RNN Architecture for Improved Lung and Colon Disease Detection”, Indian Patent, Application No.202411050939 ,2024.
  • Jayesh Gangrade, Anirudh Singh Satyam Kumar, Shweta Gangrade “Brain Tumor Detection through Transformative Deep Neural Networks”, Indian Patent, Application No. 202411050938,2024.
  • Jayesh Gangrade, Anirudh Singh Satyam Kumar, Shweta Gangrade “Automated System for Identifying Potential Violence Events on College Campuses with Deep Learning”, Indian Patent, Application No. 202411044924 ,2024.
  • Santosh Kumar Vishwakarma, Jayesh Gangrade, “Design of Collaborative Filtering Approach with Multimodal System,” Indian Patent, Application No.202411001304,2024.
  • Jayesh Gangrade, Shweta Gangrade “A novel system for the Recognition and Interpretation of Indian sign language utilizing a depth Sensor”, Indian Patent, Application No.202311071649, Published date: 24/11/2023.
  • Jayesh Gangrade, Shweta Gangrade “A Dynamic Gesture Detection System for Indian Sign Language (ISL) Utilizing Skeletal and Depth Images Using Depth Sensor”, Indian Patent, Application No. 202311071847, Published date: 24/11/2023.
  • Jayesh Gangrade, Shweta Gangrade, Riya Sharma, “Real time Classify Color Fundus Images of Eye Diseases for telemedicine applications using deep leaning by mobile device”, Indian Patent, Application No. 202311081636, Published date: 05/01/2024.
  • Jayesh Gangrade, Santosh Kumar Vishwakarma,” A Data Mining Method to Analyze of Soil Behavior and Prediction of Crop Yield Using Soil Sensor”, Application No. 202311074156, Publication date: 24/11/2023.
  • Jayesh Gangrade et al. A Novel Approach to the network Analysis of infant Brain Functional Connectivity using Coherence Analysis of the spectral EEG, Application No.: 202121051006.

Total Book Chapters :- 01

  • Yadvendra Pratap Singh , Jayesh Gangrade , Mukund Pratap Singh , Surendra Solanki , Shishir Singh Chauhan, ”Crop health monitoring using geospatial methods and deep learning”, Agricultural Insights from Space, Academic Press,2026,Pages 135-150,ISBN 9780443341137, https://doi.org/10.1016/B978-0-443-34113-7.00006-7.

Total Publications:- (26 Journals + 17 Conferences)

  • Vivekanand Thakare, Shailendra S.Aote, Jayesh Gangrade & R. Manoj “Entropy-regularized dual-stream attention fusion for multi-disease lung classification”, Vol 16, Scientific Reports 2026. doi: https://doi.org/10.1038/s41598-026-44441-4 (SCIE Q1)
  • Aarti Goswami, Sandeep Chaurasia, Jayesh Gangrade, Gopalakrishnan T,” Automated Diagnosis of Lower Limb Alignment Deformities Using Deep Learning and Joint Orientation Analysis”, Applied Computational Intelligence and Soft Computing,2026 (SCIE).
  • Hare Ram Jha, Dharmendra Gupta, Jayesh Gangrade, “Next-Generation Landslide Prediction: Convergence of IoT Sensors, Remote Sensing, Edge AI, and Quantum Computing”, Vol 11, No, 56,2026, ITEGAM-JETIA, Scopus.
  • Punita Panwar, Sandeep Chaurasia, Jayesh Gangrade, Ashwani Bilandi, “Early diagnosis of knee osteoarthritis severity using vision transformer”,Vol 26, No 1, BMC Musculoskeletal Disorders,2026.
  • Dharmendra Gupta, Jayesh Gangrade, Yadvendra Pratap Singh, Shweta Gangrade, “A Computer-Aided Diagnosis System for Ulcerative Colitis Classification Using Vision Transformer”,Vol 16, No 9, International Journal of Advanced Computer Science & Applications,2025.(ESCI)
  • Dharmendra Gupta, Jayesh Gangrade, Yadvendra Pratap Singh, Shweta Gangrade,” Robust Ulcerative Colitis Detection via Integrated Convolutional Feature Encoding, Bidirectional Temporal Context, and Data Augmentation for Class Imbalance”,Vol 16,No 8, International Journal of Advanced Computer Science & Applications,2025.(ESCI)
  • Anirudh Singh, Satyam Kumar, Jayesh Gangrade, Shweta Gangrade, Harish Kumar Shakya, “Hybrid Convolution-Recurrent Deep Learning Framework for High-Precision Lung and Colon Disease Detection” Vol. 6 , No.8, 2025, SN Computer. (Scopus Q1)
  • Shweta Gangrade, Prakash Chandra Sharma, Akhilesh Kumar Sharma, Jayesh Gangrade, “Computer-Aided Polyps Classification from Colonoscopy Using Stacking-Based Deep Learning Model”, Brazilian Archives of Biology and Technology,Vol. 68,2025. https://doi.org/10.1590/1678-4324-2025240870. (SCIE Q2).
  • Jayesh Gangrade, Rajit Kuthiala, Shweta Gangrade, Surendra Solanki, Yadvendra Pratap Singh, “An Ensemble Deep Learning Based Approach to Classify Cervix Cancer”, Scientific Reports,2025 https://doi.org/10.1038/s41598-025-91786-3 (SCIE Q1)
  • Anirudh Singh, Satyam Kumar, Jayesh Gangrade, Yadvendra Pratap Singh, Integrating Convolutional and Recurrent Neural Networks for Lung and Colon Disease Detection, Neural Computing and Application, 2025, DOI:10.1007/s00521-025-11143-3 (ESCI Q1)
  • Punita Panwar, Sandeep Chaurasia, Jayesh Gangrade, Ashwani Bilandi, Dayananda Pruthviraja, “Optimizing knee Osteoarthritis Severity Prediction on MRI Images using Deep Stacking Ensemble Technique,” Scientific Reports,2024. (SCI Q1).
  • Santosh Soni, Pankaj Chandra, Prakash Chandra Sharma, Jayesh Gangrade, Devendra Kumar Singh, “Medical kit delivery using Drone: Critical medical infrastructure solution for emergency medical situation”, International Journal of Disaster Risk Reduction, Volume 108, 2024, ISSN 2212-4209, https://doi.org/10.1016/j.ijdrr.2024.104502. (SCI Q1)
  • Abhishek Jain Rohit Raja, Sumit Srivastav, Prakash Chandra Sharma, Jayesh Gangrade, Manoj R “Analysis of EEG Signals and Data Acquisition Methods: A Review.”, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization,2023, SCIE.
  • Jayesh Gangrade & Jyoti Bharti, “Vision-based Hand Gesture Recognition for Indian Sign Language Using Convolution Neural Network”, IETE Journal of Research, 69:2, 723 732, 2023,DOI: 10.1080/03772063.2020.1838342, (SCIE).
  • Jayesh Gangrade, Jyoti Bharti & Anchit Mulye ,”Recognition of Indian Sign Language Using ORB with Bag of Visual Words by Kinect Sensor”, IETE Journal of Research, 68:4, 2953 2967, 2022 DOI: 10.1080/03772063.2020.1739569. (SCIE).
  • Hemang Shrivastava, Manoj Ramaiya, Hare Ram, Jayesh Gangrade “Network Analysis of Infant Brain Functional Connectivity using Spectral EEG”, Int. J. of Electronic Healthcare, Vol.12, No.2, 2022. (Scopus).
  • Jayesh Gangrade, Jyoti Bharti “Real time sign language recognition using depth sensor” in international journal of computational vision and robotics, vol. 9, No. 4, pp. 329-339, 2019. (Scopus).
  • Jayesh Gangrade, Jyoti Bharti “Real time vision-based hand gesture recognition using depth sensor and a stochastic context free grammar”, in international journal of computational vision and robotics, vol 9, No. 3, pp.260-271, 2019. (Scopus).
  • Poonam Upadhyay and Jayesh Gangrade “Binary Genetic Twin Bounded Support Vector Machine” in International Journal of Information and Computing Science, Vol. 6, No. 3, pp. 35-40, 2019 (UGC).
  • Poonam Upadhyay and Jayesh Gangrade “Comparative Analysis of Optimized Twin Support Vector Machine and Twin Bounded Support Vector Machine” in International Journal of Information and Computing Science, Vol. 6 No. 3, pp. 322-327, 2019. (UGC Journal).
  • Jayesh Gangrade, Anchit Mulye “Successive Image Recognition with Canny Edge Detection and ORB On RGB And Depth Images”, IJARIIE, Vol. 4, No.5, pp.290-297,2018.
  • Arpit Deo, Jayesh Gangrade “Survey Paper on Information retrieval System”, in International Journal ofAdvanced Research in Computer Science, Vol 9, No. 1, 2018.
  • Chandolu Prasanthi, Jayesh Gangrade “Face Recognition Based on PCA Using Different Daubechie Wavelet Transforms, International Journal of Scientific & Engineering Research,Vol. 8 No. 10, pp. 1724- 1728, 2017.
  • Priyanka Palod, Jayesh Gangrade “Efficient Model for CHD Using Association Rule With FDS” in International Journal of Innovative Research in Science, Engineering and Technology, Vol. 2, No. 6, pp.2157-2162, June 2013.
  • Priyank Jain, Jayesh Gangrade “Online Signature Verification using Energy Angle and Directional Gradient Feature with Neural Network” in International Journal of Innovative Research in Science Engineering and Technology, Vol 2, No 9,2013.
  • Ajita Singh, Jayesh Gangrade “An Iris Feature Extraction Using 2D-Dual Tree Complex Wavelet Transform” International Journal of Engineering and Advanced Technology (IJEAT), Volume-2, No-6, pp. 47-51, August 2013.

Total Webinar/Workshops/FDPs Attended:- 20+

  • Attended a blended mode workshop on ‘Moodle Learning Management System “Teaching Learning Centre (ICT) by IIT Bombay, on 15 March 2019.
  • Attended Workshop on “R programming “conducted by IIT Bombay on 17 December 2019.
  • Attend Workshop on “Introduction to Machine learning” conducted by IIT Khargapur on 16-17th December 2017 under the National Mission on Education through ICT (MHRD).
  • Attended National workshop on “Intellectual Property rights” Organized at IPS Academy Institute of Engineering and Science in January 2016.
  • Attended workshop on “Researcher connect program” organized by Wiley in collaboration with IIT Indore on October 26, 2015.
  • Attended National Workshop on “Cloud computing & Security” sponsored by MPCST Bhopal on 10th -11th September, 2014.
  • Attended Two week ISTE Workshop on “Computer Networking” conducted by IIT Bombay from May 28th 2014 to July 5th 2014.
  • Attended Workshop on “Matlab for researchers” organized by MANIT Bhopal from 9th to 11th December 2013.
  • Attended workshop on “C & C++ “organized with help from the Spoken Tutorial Project, IIT Bombay at IPS Academy Institute of Engineering and Science on 16/11/13.
  • Attended ISTE workshop on “Aakash for Education” conducted by IIT Bombay on 10th and 11th Nov 2012.
  • Attend FDP “OBE, SAR and NBA”, NITTTR Chandigarh, 24/06/2024 to 28/06/2024.
  • Attend FDP “Education in the METAVERSE Era”, NITTTR Chandigarh, 27/05/2024 to 31/05/2024.
  • Attend FDP “OBE Based Curriculum and Accreditation”, NITTTR Chandigarh, July 03,2023 to July 7,2023.
  • Attended and Organized FDP “Data Science using R”, NITTTR Chandigarh, July 17,2023 to July 21,2023.
  • Attended FDP on “Pedagogy for Online and Blended Teaching learning Process” Conducted by IIT Bombay from May 3, 2018 to May 30, 2018.
  • Attended FDP on “Android Application development” conducted by Microsoft and Innovative business solution Pvt. Ltd. From 2/07/2018 to 7/7/2018.
  • Attended FDP on “Foundation program in ICT Education” conducted by IIT Bombay from March 8, 2018 to April 12, 2018. 8. Attended FDP on Agile and DevOPS organized by TATA Consultancy services on 13/12/2018 at CMG, IPS Academy.
  • Attended AICTE sponsored FDP on “Soft computing techniques in modeling and simulation for research in engineering and technology” from 22nd April to 3rd May 2013 organized by Department of Electronics and Telecommunication Engineering Yeshwantrao Chavan College of Engineering, Nagpur.
  • Attended Faculty development program on “Cloud Infrastructure and services “organized by RGPV in collaboration with EMC Corporation from 11th to 15th June, 2012.