Faculty Profile
Home | MR. MAHESH SUHAS SHINDE

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MR. MAHESH SUHAS SHINDE

Designation:

Assistant Professor

Department:

Information Technology

Email :

mahesh.shinde@vit.edu

Phone :

9850890187

Educational Qualification :

University Degree Year
Savitribai Phule Pune University ME 2015
Savitribai Phule Pune University BE 2013
Avantika University Phd 2026


Date of Joining : 30/06/2025


Total Experience : 10 year:0 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 MES Wadia College of Engineering Pune Assistant Professor 14-Dec-2015 31-May-2025 9
2 VIT Pune Assistant Professor 01-Jul-2025 - 0

International Journal:

  1. Enhancing fetal health monitoring: utilizing WWPA based BiGRU with dropout layer regulation to classify fetal health conditions on cardiotocography data ,Multiscale and Multidisciplinary Modeling, Experiments and Design,125

International Conference:

  1. Deep Learning for Colorectal Cancer Screening Using Colonoscopy Images ,Smart Trends in Computing and Communications,125
  2. Early Detection of Liver Disease Using Machine Learning: An Integrated Approach with Feature Selection and XGBoost Optimization ,Smart Trends in Computing and Communications,125

Book Chapter:

  1. From Traditional Diagnostics to AI Innovations: A Comparative Study for Early Detection and Management of Chronic Kidney Disease ,null,125
  2. Advances in Deep Neural Networks for Chronic Kidney Disease Diagnosis A Systematic Review ,null,125
  3. Clinical Decision Support Systems in Pre-pregnancy Health A Comparative Review of Traditional, Machine Learning, and Deep Learning Techniques ,,125
  4. AI-Based Decision Support Systems for Personalized Maternal Health Management before Pregnancy ,null,125
  5. Machine Learning-Based Comparative Analysis for Chronic Kidney Disease Prediction Using Clinical Data ,null,126
  6. Systematic Review of Medical Imaging and Clinical Data in CKD Prediction Using Deep Neural Networks ,null,126
  7. A Comparative Study of Machine Learning Algorithms for Embryo Selection in In Vitro Fertilization ,null,126


Copyrights :

  1. A Multimodal Deep Neural Network approach for Early identification and Management of Chronic Kidney Disease

Patents :

  1. DEEP LEARNING-BASED EARLY DETECTION AND PREVENTION FRAMEWORK FOR CHRONIC KIDNEY DISEASE



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