Nafiseh Mirnia
AI & ML Engineer
Dallas,TX
Summary
AI Engineer with over 8 years of experience in advanced research, data science, and artificial intelligence. Proven expertise in developing and deploying machine learning and deep learning models for image processing, medical imaging, and data analysis. Known for driving innovative research and translating complex algorithms into practical applications. Skilled at leveraging Python, PyTorch, and cutting-edge AI technologies to deliver impactful solutions.
Overview
8
8
years of professional experience
43
43
years of post-secondary education
Work History
Postdoctoral Researcher & Principal Investigator (PI)
University of Oklahoma
1 2024 - Current
- Directed multiple AI-driven research projects, leading to breakthroughs in computer vision (CV) and machine learning (ML) algorithms
- Mentored junior investigators in AI-driven research projects, fostering innovation and collaboration across disciplines
- Drove the development and implementation of deep learning, neural networks, and image processing techniques, enhancing research outcomes
- Successfully managed and executed projects, ensuring alignment with data-driven research objectives and delivering impactful results.
Postdoctoral Researcher
University of Oklahoma
05.2021 - 12.2023
- Developed a high-accuracy deep learning model (95%+) to classify COVID-19 infection using CT images, significantly improving diagnostic capabilities
- Designed a segmentation algorithm (AR-UNet) achieving 85%+ accuracy in detecting infected lung regions, aiding in precise medical intervention
- Created a standalone GUI for semi-automatic lung and infection segmentation, streamlining the diagnostic process for healthcare professionals
- Applied deep learning models like Mask-RCNN and UNet to achieve high accuracy in medical image analysis, contributing to better patient outcomes
- Employment of pattern recognition and deep learning techniques to segment and quantify different COVID-19 severity levels.
Graduate Research Assistant
University of Oklahoma
05.2016 - 04.2021
- Published 12+ papers in top-tier journals, advancing the fields of machine learning, deep learning, artificial intelligence, and medical imaging
- Engineered a deep learning model with 94.5% accuracy for COVID-19 detection using chest X-rays, enhancing early detection and treatment
- Optimized machine learning models for breast lesion classification, predicting gastric cancer metastasis with advanced feature extraction techniques
- Innovated data regeneration methods to reduce feature redundancy, improving the accuracy of breast mass classification and malignancy prediction
- Pioneered a bilateral imaging analysis scheme, boosting cancer risk prediction accuracy by 9.7%, reflecting a significant improvement over baseline methods
- Developed deep learning and machine learning software algorithms in Python and MATLAB.
Education
Master of Science - Electrical and Computer Engineering
Semnan University
05.2001 - 05.2014
Ph.D. - Electrical and Computer Engineering
University of Oklahoma
05.2001 - 05.2021
Bachelor of Science - Electrical and Computer Engineering
University of Mazandaran
05.2001 - 05.2011
Skills
Programming: Python, R, SQL, Matlab
Accomplishments
- Gallogly College of Engineering Dissertation Excellence Award (DEA), 2020
- Authored 35 papers with 840 citations.
- Recipient of multiple scholarships for outstanding academic achievements and research contributions.
Timeline
Postdoctoral Researcher
University of Oklahoma
05.2021 - 12.2023
Graduate Research Assistant
University of Oklahoma
05.2016 - 04.2021
Master of Science - Electrical and Computer Engineering
Semnan University
05.2001 - 05.2014
Ph.D. - Electrical and Computer Engineering
University of Oklahoma
05.2001 - 05.2021
Bachelor of Science - Electrical and Computer Engineering
University of Mazandaran
05.2001 - 05.2011
Postdoctoral Researcher & Principal Investigator (PI)
University of Oklahoma
1 2024 - Current
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