プロフィール詳細

プロジェクトを作成

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Dr. Jayanthi R.に依頼

Canada

AI & Neural Network Developer

プロフィール概要

Neural networks & Deep Learning: Designing and implementing PyTorch-based models for computer vision, super-resolution, and other AI applications. Previous Research Projects Facial Image Super-Resolution Developed deep learning models to enhance low-resolution facial images while preserving identity features. Introduced Counterfactual Attention Learning (CAL) to improve attention mechanisms in super-resolution networks. Published in Pattern Recognition, evaluated on CelebA, FFHQ, and CMU Multi-PIE datasets. Block-Sized Majority Voting in Facial Recognition Evaluated algorithms for voting mechanisms in facial recognition tasks. Published in International Journal of Artificial Intelligence and Applications. COVID-19 Medical Imaging Analysis Applied super-resolution to X-ray and CT images to improve classification accuracy in COVID-19 datasets.

専門分野

• ★ Image Processing
• ★ Artificial Intelligence
• ★ Computer Vision
• ☆ Electrical Engineering
• ☆ Computer Engineering
• ☆ Data Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Data Collection
• ☆ Machine Learning
• ☆ Data Mining
• ☆ Neural Networks
• ☆ Deep Learning
• ☆ Python
• ☆ Matlab
• ☆ Java
• ☆ R
• ☆ Scikit-learn
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Technology Scouting
• ☆ Photography & Image Editing
• ☆ Instructional Webinars
• ☆ Scientific Proofreading & Editing
• ☆ Proofreading & Editing
• ☆ Course Content Writing
• ☆ Grant Writing

サービス

• Research
• Consulting
• Data & AI

Research Feasibility Study, Gap Analysis, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization, Data Mining

職務経験

Graduate Researcher

University of Windsor, Windsor, ON, Canada

3月 2021 - 6月 2025

学歴

PhD in Electrical Engineering

University of Windsor

3月 2021 - 6月 2025

認定資格

• PhD

  U Windsor

  6月 2025 - 現在

出版物

JOURNAL ARTICLE

(2025). Novel Spatial-Edge Residual Attention Model for Face Super-Resolution Enhancement . IEEE CANADIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING.

(2025). Refining attention weights for facial super-resolution with counterfactual attention learning . PATTERN RECOGNITION.

(2021). Performance Evaluation of Entropy Based LBP for Face Recognition . 2021 IEEE INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS).

BOOK CHAPTER

Jayanthi Raghavan, Majid Ahmadi (2021). Performance Evaluation of Weighted Entropy Based Fusion Technique for Face Recognition with Different Pre-processing Techniques . Advances in Intelligent Systems and Computing.