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Syed ayaz Ali S. に連絡

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プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dr. Syed ayaz Ali S.に依頼

Pakistan

PhD in Medical Image Analysis, expert in Machine Learning, Deep Learning, 15+ years academic/research experience

プロフィール概要

I am a PhD-qualified AI researcher with over 15 years of experience in machine learning, deep learning, and data-driven research. My core expertise lies in medical image analysis, computer vision, and speech signal processing, with a strong focus on classification, segmentation, and pattern recognition tasks.
I have worked extensively with Python, TensorFlow, PyTorch, and Scikit-learn to develop robust models for  classification, CNN-based image recognition, and speaker and speech expression analysis. My research has led to multiple Q1 journal publications and supervision of advanced student research.
In addition to my academic experience, I have completed the IBM AI Engineering Professional Certificate, gaining hands-on experience in building and deploying scalable AI systems.

I offer services in model development, image and speech processing, research consulting, and technical writing. I’m passionate about applying AI to solve real-world problems in healthcare, signal analysis, and intelligent systems.

専門分野

サービス

Research
Data & AI

Research User Research

Data & AI Predictive Modeling, Image Processing, Image Analysis, Algorithm Design-ML

職務経験

ASSISTANT PROFESSOR

ECIRL COMSATS University Islamabad, Abbottabad Campus

9月 2008 - 現在

学歴

PhD

Universiti Teknologi PETRONAS Malaysia

10月 2012 - 8月 2017

認定資格

認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Syed Ayaz Ali Shah, Muhammad Awais, Ali Zahir, Pedro Reviriego, Anees Ullah, Nasim Ullah, Adam Khan, Hazrat Ali (2023). Toward Optimal Softcore Carry-aware Approximate Multipliers on Xilinx FPGAs . ACM Transactions on Embedded Computing Systems.

Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . IEEE Transactions on Circuits and Systems II: Express Briefs.

Syed Ayaz Ali Shah, Zaineb Shah, Aamir Shahzad, Ahmad Fayyaz, Shoaib Khaliq, Ali Zahir, Goh Chuan Meng(2022). Deep Learning-Based Forearm Subcutaneous Veins Segmentation . IEEE Access. 10. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 42814--42820. Institute of Electrical and Electronics Engineers ({IEEE})

Syed Ayaz Ali Shah, Aamir Shahzad, Muhammad Amir Khan, Cheng-Kai Lu, Tong Boon Tang(2019). Unsupervised Method for Retinal Vessel Segmentation Based on Gabor Wavelet and Multiscale Line Detector . IEEE Access. 7. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 167221--167228. Institute of Electrical and Electronics Engineers ({IEEE})