Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | DR. DATTATRAY GOPAL TAKALE

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DR. DATTATRAY GOPAL TAKALE

Designation:

Assistant Professor

Department:

Computer Engineering

Email :

dattatray.takale@vit.edu

Phone :

7709091013

 



Personal

Educational Qualification :

University Degree Year
Shri Jagdishprasad Jhabrmal Tibrewala University Phd 2022
Savitribai Phule Pune University ME 2015
Savitribai Phule Pune University BE 2013


Date of Joining : 31/08/2022


Total Experience : 3 year:9 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 Vishwakarma institute of Technolgy Assistant Professor 01-Sep-2022 - 3

Professional Contribution :

  1. Class Teacher in Sy B.Tech Sem 1: Div L and Sem 2 Div B

  2. Student Publication

  3. VISHWAKARANDAK Duty

  4. AWS Academy program


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 One Month Internship on Research Training Research internship STTP Participated 13-Apr-2026 15-May-2026
2 Modern Agile Principal Educational Practices Agile Models for Educational Institute FDP Participated 08-Dec-2025 12-Dec-2025
3 Empowering women in STEM research proposal writing and funding agency Empowering women in STEM research proposal writing and funding agency FDP Participated 27-Nov-2025 28-Nov-2025
4 Python for Everybody Python Course FDP Participated 01-Nov-2025 28-May-2026

Book:

  1. Machine Learning-Based Comparative Analysis for Chronic Kidney Disease Prediction Using Clinical Data ,null,126

Book Chapter:

  1. Real-Time Hybrid AI Framework for Anomaly Detection in GraphQL APIs under Nested-Query Attacks ,null,126
  2. A IoT-Enabled Autonomous Systems for Smart Waste Management: A Systematic Review and Research Outlook ,null,126
  3. A ComparativeStudy of Machine Learning Algorithms for Embryo Selection in In Vitro Fertilization ,null,126
  4. Advances in Deep Neural Networks for Chronic Kidney Disease Diagnosis A Systematic Review ,null,125
  5. From Traditional Diagnostics to AI Innovations: A Comparative Study for Early Detection and Management of Chronic Kidney Disease ,null,125

International Conference:

  1. MediSense: AI-Based Dual Summarization of Clinical Reports for Healthcare Professionals and Patients ,2025 3rd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI),126
  2. Automated Detection of Lung Cancer Using Deep Learning Models on CT Scans ,International Conference on Smart Trends for Information Technology and Computer Communications,125
  3. MediSmart: An Integrated AI Framework for Hospital Management and Patient Safety ,International Conference on Emerging Technologies for Multidisciplinary Innovation and Sustainability (ETMIS 2025),126
  4. Smart Post-Surgical Recovery Monitoring using Wearable Data and Mobile-Based Reporting ,2025 3rd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI),126
  5. Zero trust security architecture enhanced with federated learning for modern network environments ,In EPJ Web of Conferences,125
  6. Enhanced Ovarian Cancer Detection Through Annotated Image Classification Using FRCNN and Ensemble Learning ,International Conference on Smart Trends for Information Technology and Computer Communications,125
  7. YOLOv9 Meets CBAM:: A Real-Time Smart Traffic Signal System for Emergency Response Optimization ,2025 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS),126
  8. Predictive Analytics for Cardiovascular Disease Risk Assesment : A Machine Learning Approach.. ,International Conference on Information and Communication Technology for Intelligent Systems,126
  9. Predicting Stroke OutcomesUsing Machine Learning: Analysis of Clinical and Imaging Data ,International Conference on Data Analytics & Management,126

International Journal:

  1. Swarm intelligence in handling of big data. ,Journal of Electrical Systems and Information Technology,125
  2. 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
  3. SugarcaneGAN:: A U-RSwinT and StyleGAN3-Driven Deep Learning Framework for High-Accuracy Sugarcane Leaf Disease Detection and Classification ,ES Food and Agroforestry,125
  4. FCM-NPOA: A hybrid Fuzzy C-means clustering with nomadic people optimizer for ovarian cancer detection ,Technology and Health Care,125


Research Grant / Funded Projects :

  1. Automated Morphokinetic Embryo Grading Using Deep Convolutional Neural Networks for Improved IVF Live Birth Outcomes
  2. Deep Learning-Based Pregnancy Complication Prediction Using Electronic Health Records and Wearable Biosensor Data
  3. Lightweight Edge-Deployable Deep Learning Model for Real-Time Multi-Crop Leaf Disease Detection in Precision Agriculture

Patents :

  1. ADAPTIVE HARDWARE MONITORING DEVICE FOR PREDICTIVE IDENTIFICATION OF COMPONENT FAILURES IN HIGH-PERFORMANCE COMPUTING SYSTEMS
  2. ENERGY-AWARE COMPUTING DEVICE FOR DYNAMIC POWER OPTIMIZATION IN MULTI-CORE PROCESSOR ARCHITECTURES
  3. ADAPTIVE HARDWARE MONITORING DEVICE FOR PREDICTIVE IDENTIFICATION OF COMPONENT FAILURES IN HIGHPERFORMANCE COMPUTING SYSTEMS
  4. SECURE EMBEDDED AUTHENTICATION DEVICE FOR PREVENTING UNAUTHORIZED FIRMWARE MANIPULATION IN CONNECTED COMPUTING HARDWAREA
  5. FAULT-TOLERANT MEMORY MANAGEMENT DEVICE FOR AUTOMATIC DETECTION AND RECOVERY FROM DATA CORRUPTION SYSTEMS
  6. SMART INPUT VALIDATION DEVICE FOR HARDWARE-LEVEL FILTERING OF MALICIOUS DATA IN NETWORKED COMPUTER SYSTEM
  7. REAL-TIME ADAPTIVE THERMAL REGULATION DEVICE FOR MAINTAINING OPTIMAL PERFORMANCE IN COMPACT COMPUTING HARDWARE SYSTEMS
  8. HARDWARE-BASED LATENCY ANALYSIS DEVICE FOR REAL-TIME IDENTIFICATION OF PERFORMANCE DELAYS IN HIGH-SPEED COMMUNICATION SYSTEMS
  9. RECONFIGURABLE DIAGNOSTIC DEVICE FOR CONTINUOUS HEALTH MONITORING OF EMBEDDED AND INDUSTRIAL COMPUTING SYSTEMS
  10. INTELLIGENT EDGE PROCESSING DEVICE FOR REAL-TIME DETECTION AND CORRECTION OF DATA BOTTLENECKS IN DISTRIBUTED SYSTESMS



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