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Contact Syed ayaz Ali S.

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USD 30 /hr

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Hire Dr. Syed ayaz Ali S.

Pakistan

USD 30 /hr

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

Profile Summary

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.

Subject Matter Expertise

Services

Research
Data & AI

Research User Research

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

Work Experience

ASSISTANT PROFESSOR

ECIRL COMSATS University Islamabad, Abbottabad Campus

September 2008 - Present

Education

PhD

Universiti Teknologi PETRONAS Malaysia

October 2012 - August 2017

Certifications

Certification details not provided.

Publications

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. p. 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. p. 167221--167228. Institute of Electrical and Electronics Engineers ({IEEE})