Ali Taheri

My name is Ali Taheri, and I completed my Master's Degree with a thesis titled "Improving the Quality of Images by Estimating the PSF." I have over seven years of experience as an expert electronic designer at the best physiotherapy company in Iran. During my time there, I designed various types of circuits, such as ADC, PLL, Filter, and Switching Capacitor Circuits and ext. In addition to my professional work, I am fascinated by machine learning and image processing. I worked with public health experts to measure physical work classification and develop a neural network (NLP) for measuring silica on materials from their Transform Infrared Spectroscopy. Since I am always keen on learning more about machine learning and AI, I have completed some online courses from Stanford Online about Large Language Models and Unsupervised Learning. As my childhood dream, my goal is to use my experience as an electrical engineer who worked several years at a medical company and my knowledge of machine learning and AI to design efficient and low-cost medical equipment

Living in : United States of America (USA)

Gender : MaleRace : Middle Eastern

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Academic Profile

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Contact Information

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Educations

Electrical & Computer EngineeringBachelor'sShiraz University2014-09-01 Iran

Work Experiences

Senior designer

at Novinmed

Start : 01-Sep-2014

End : 02-Nov-2022

English Scores

Doulingo01-Jan-0001

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Journal Publications

Publication Title :

Artificial Neural Networks (ANNs) and Partial Least Squares (PLS) Regression in the Quantitative Analysis of Respirable Crystalline Silica by FourierTransform Infrared Spectroscopy (FTIR).First author

Journal :

Annals of Work Exposures and Health

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Publication Title :

Optimization of the ANFIS using a genetic algorithm for physical work rate classificationFirst author

Journal :

Scandinavian Journal of Occupational Therapy

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Publication Title :

Classification of Physical Workload Based on ANFIS Optimized Model with Genetic Algorithm. First author

Journal :

Iranian Journal of Public Health

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Publication Title :

Design and Fabrication of a Laboratory Model of Physical Workload Classification Tool and Evaluation of Its Usability in the Real Work Environment.First author

Journal :

Journal of Health Research

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