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Biosensors & Bioelectronics

ISSN: 2155-6210

Open Access

Ahmad Fadzil M Hani

Ahmad Fadzil M Hani

Ahmad Fadzil M Hani
Professor, Center for intelligent signal & imaging Research
University Teknologi Petronas, Malaysia

Biography

Professor Fadzil is an expert in the area of image processing and computer vision.  His current research challenges are developing new analysis techniques for early osteoarthritis and drug addiction using qMRI techniques and bio-optics for skin pigmentation analysis. He has authored over 160 research papers in journals and conferences proceedings, filed several patents and won several awards for his work.  He currently heads the Centre for Intelligent Signal & Imaging Research (CISIR), a research centre under the Mission-Oriented in Biomedical Engineering at Universiti Teknologi PETRONAS.

He was the Dean of School of Electrical & Electronic Engineering Universiti Sains Malaysia (1992-1996), and later Dean of Engineering Studies (1997-1999), Director of Academic Studies (1999-2003) and Director of Postgraduate Studies (2003-2005) at Universiti Teknologi PETRONAS.  As the General Manager in Frontier Technology at the PETRONAS Research (2007-2009), he headed the R&D on renewable technologies.  Currently he is also the Deputy Vice-Chancellor (Academic) Universiti Teknologi PETRONAS and a member of the University Senate.

Professor Fadzil is a Fellow and a Council Member of the Academy of Sciences, Malaysia and a Fellow of Institution of Engineers Malaysia.  He is a registered Professional Engineer with Board of Engineers Malaysia and a Senior Member of the Institution of Electrical & Electronic Engineers Inc.  In industry, he sits in the Board of Directors of ViTrox Corporation Bhd., an R&D and public-listed company that develops and manufactures automated vision inspection systems.   


 

Research Interest

His research activities range from fundamental pattern recognition to developing vision applications in the biomedical imaging area such as in retinal vasculature imaging for grading severity of diabetic retinopathy and digital analysis leading to objective assessment for treatment efficacy of ulcer wounds and psoriasis lesions.

Google Scholar citation report
Citations: 2648

Biosensors & Bioelectronics received 2648 citations as per Google Scholar report

Biosensors & Bioelectronics peer review process verified at publons

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