ENQUIRE NOW
Mukesh Patel School of Technology Management and Engineering

Assistant Professor

  • Department:- STME (Computer Engineering)
  • Educational Qualification (Highest to Lowest):- Ph.D.(CSE), M.E. (CSE), B.E. (CSE)
  • Area of Specialization:- Deep Learning
  • Total Work Experience:- 13 years
  • Teaching Experience:- 13 years
  • Certifications/Diploma:- IEEE and ORCID
    • Coursera certified in “Machine learning”, Stanford 2020.
    • Python for Everybody, Coursera, 2022
    • NPTEL certified in “Machine Learning” from IIT Madras, 2019.
  • Awards & Achievements:- 03
    • Best Teacher Award -SRIJAN 2019 (RGPV University) by MPCST.
    • Best Paper Award 2023 Fifth International Conference (ICECCT 2023), Erode, TamilNadu,India (Scopus).
    • Top Performer in FDP on Foundation Programming ICT for Education and Pedagogy for online and Blended Teaching Learning Process by IIT Bombay.
  • Email ID:- shweta.gangrade@nmims.edu

Total Conference Attended National & International:- 06

  • Shweta Gangrade, Prakash Chandra Sharma, Akhilesh Sharma “Colonoscopy Polyp Segmentation using Deep Residual U-Net with Bottleneck Attention Module,” IEEE International Conference on Electrical, Computer and Communication Technologies ICECCT, 2023.
  • Shweta Gangrade, Prakash Chandra Sharma, Akhilesh Sharma “Efficient Net Deep Learning Model for Computer-Aided Polyps Classification from colonoscopy Images,” International conference on Smart System: Innovations in Computing, 2024
  • 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.
  • Arpit Deo, Jayesh Gangrade, Shweta Gangrade,” A PSO Algorithm Based Web Page Retrieval System,” Proceedings of Recent Advances in Interdisciplinary Trends in Engineering & Applications (RAITEA), IPS Academy,2019.
  • Shweta Gangrade, Nirvishesh Shrivastava, Jayesh Gangrade “Instagram Sentiment Analysis: Opinion Mining”, Proceedings of Recent Advances in Interdisciplinary Trends in Engineering & Applications (RAITEA), IPS Academy,2019.

Total Patents:- 13

  • Shweta Gangrade, Prakash Chandra Sharma, Akhilesh Kumar Sharma, “Deep Residual U-Net for Colonoscopy Polyp Segmentation Using Bottleneck Attention Module”, Indian Patent Published, 2024.
  • Shweta Gangrade, Prakash Chandra Sharma, Akhilesh Kumar Sharma, “A method for detecting Polyps in Colonoscopy Images Using a Bi-Directional Conv-LSTM U-Net and Densely Connected Convolution”, Indian Patent Published, 2024.
  • 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.
  • 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.

Total Publications:- ( 11 Journals + 6 Conferences)

  • 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).
  • Shweta Gangrade, Prakash Chandra Sharma, Akhilesh Kumar Sharma, Yadvendra Pratap Singh, “Modified DeeplabV3+ with multi-level context attention mechanism for colonoscopy polyp segmentation”, Computers in Biology and Medicine, Volume 170, 2024, SCI (Q1), impact factor : 7.7.
  • Shweta Gangrade, Prakash Chandra Sharma, Akhilesh Kumar Sharma,” Colonoscopy Polyp Detection Using Bi-Directional Conv-LSTM U-Net with Densely Connected Convolution”, KI – Künstliche Intelligenz, 2024. https://doi.org/10.1007/s13218-024-00833-0, SCI (Q2).
  • 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)
  • Poonam Upadhyay, Jayesh Gangrade, Shweta Gangrade, Comparative Analysis of Optimized Twin Support Vector Machine and Twin Bounded Support Vector Machine, Journal of Information and Computing Science, Volume 6, Issue 3, pp. 322–327, March 2019.
  • Poonam Upadhyay, Jayesh Gangrade, Shweta Gangrade, “Binary Genetic Twin Bounded Support Vector Machine,” International Journal of Information and Computing Science, Volume 6, Issue 3, pp. 35–40, March 2019.
  • Arpit Deo, Jayesh Gangrade, Shweta Gangrade,” Weight Based Web Page Retrieval System”, International Journal of Scientific Research in Computer Science Applications and Management Studies, Volume 7, Issue 4, July 2018.
  • Arpit Deo, Jayesh Gangrade, Shweta Gangrade, “A Survey Paper on information retrieval system”, International Journal of Advanced Research in Computer Science, Vol. 9, No. 1, 2018.

Total Research:- 17
Total Webinar/Workshops/FDPs Attended:– (11+)

  • 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 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 “C & C++ “organized with help from the Spoken Tutorial Project, IIT Bombay at IPS Academy Institute of Engineering and Science on 16/11/13.
  • Attend FDP “Education in the METAVERSE Era”, NITTTR Chandigarh, 27/05/2024 to 31/05/2024.
  • 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.