Last Update: 04/11/20
My BIO:
My name is Ali Nemati. I hold a master of computer science at the University of Washington. I love to work with machine learning and big data.
My publications are as below. My previous job was as Kohls which optimizes the top store and predicts the cancellation rate of items. I have had experiences working with bioinformatic numerical projects, text, image categories. Diagnosing age and gender on text, image classifications and image segmentation over health care issues via machine learning techniques are my skills by python, spark, pandas, NumPy , Sklearn, and my own functions and libraries.
I have experienced a Gene therapy model at the bioinformatics area to improve disease detection. Also, I improved machine learning techniques in the healthcare area. I honor to receive two awards such as Outstanding Paper Awards for Glaucoma illness detection and awarded Certificate of the 9th International Cybersecurity Data Mining Competition.
For more information please consider my resume.
Machine Learning Publication 2019: Soon...
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M. Norouzifard, A. Nemati, H. GholamHosseini, R. Klette, K. Nouri-Mahdavi, and S. Yousefi, “Features visualization based on deep pre-trained model to validate the relevance of clinical aspect to computational deep learning approach for glaucoma detection in fundus images”, In press, ARVO Foundation for Eye Research, 2019.
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M. Norouzifard, A. Nemati, H. GholamHosseini, R. Klette , "A hybrid machine learning model to detect glaucoma using retinal nerve fiber layer thickness measurements" -accepted, ARVO Foundation for Eye Research, accepted, 2019
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M. Norouzifard, A. Nemati, H. GholamHosseini, R. Klette, "A Fused Pattern Recognition Model to Detect Glaucoma Using Retinal Nerve Fiber Layer Thickness Measurements" -accepted, PSIVT 2019 : The 9th Pacific-Rim Symposium on Image and Video Technology. (webstie)
Machine Learning Publication 2018: Visit projects page to download documents and codes of the proposed projects
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A. Nemati, "Gender and Age Prediction Multilingual Author Profiles Based on Comments", accepted on Forum for Information Retrieval Evaluation 2018 (FIRE-2018) (code) (Paper)
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M. Norouzifard, A. Nemati, H. GholamHosseini, R. Klette, K. Nouri-Mahdavi, and S. Yousefi, “Automated glaucoma diagnosis using deep and transfer learning: Proposal of a system for clinical testing”, Submitted to the IEEE Image and Vision Computing New Zealand (IVCNZ), 2018. (Paper)
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M. Norouzifard, A. Nemati , A. Abdul-Rahman, H. GholamHosseini, and R. Klette, "A Comparison of Transfer Learning Techniques, Deep Convolutional Neural Network and Multilayer Neural Network Methods for the Diagnosis of Glaucomatous Optic Neuropathy", Submitted to International Computer Symposium (ICS)ICS 2018. ( Received one of the/ four "Outstanding Paper Awards" at the International Computer Symposium (ICS) at Yunlin, Taiwa , to be published as post-conference proceedings by Springer in January 2019)
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Ali Nemati, “Social Network Services Sentiment Recognition Using Ensemble Model on Encrypted Dataset”, CDMC2018 AI x Cybersecurity Summit (ACSS2018) in Chongqing, China , in press, 2018 (Received an awarded Certificate of the 9th International Cybersecurity Data Mining Competition )
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M. Norouzifard, A. Nemati, H. GholamHosseini, R. Klette, K. Nouri-Mahdavi, and S. Yousefi, “A hybrid machine learning model to detect glaucoma using retinal nerve fiber layer thickness measurements”, In press, ARVO Foundation for Eye Research, 2018.