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Dr. Mousa Moradi | Data Science and Analytics | Best Researcher Award

Dr. Mousa Moradi, Post Doctoral Research Fellow, Harvard University, United Statesย 

๐ŸŽ“๐Ÿ”ฌ Dr. Mousa Moradi, a Postdoctoral Research Fellow at Harvard University, is renowned for his exceptional contributions to data science and analytics. His groundbreaking research, funded by the University Grants Commission (UGC), New Delhi, India, has garnered significant recognition. ๐Ÿ†๐Ÿ“Š With a focus on innovative analytical methodologies, Dr. Moradi’s work is pivotal in advancing the field. His dedication and expertise have earned him the prestigious Best Researcher Award, celebrating his impactful achievements. ๐ŸŒŸ๐Ÿ“š Dr. Moradi’s commitment to excellence continues to inspire the academic community, driving forward the boundaries of data science and analytics. ๐ŸŒ๐Ÿ”

PROFILE

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EDUCATION

๐ŸŽ“ Dr. Mousa Moradi obtained his Ph.D. in Biomedical Engineering from the University of Massachusetts Amherst ๐Ÿซ (2020-2024). Prior to this, he earned an M.S. in Biomedical Engineering from Wichita State University ๐Ÿ“š (2019-2020). Dr. Moradi also holds an M.S. in Radiology from the National University of Iran ๐Ÿฅ (Shahid Beheshti University) (2012-2014). He began his academic journey with a B.S. in Electrical Engineering from Kermanshah University of Technology โšก (2008-2012). Dr. Moradi’s diverse educational background has equipped him with a comprehensive understanding of biomedical engineering and radiology, fostering his innovative contributions to the field. ๐Ÿงฌโœจ

RESEARCH EXPERIENCE AND ACCOMPLISHMENTS

๐ŸŒŸ Dr. Mousa Moradi is a distinguished Post Doctoral Research Fellow in the Department of Ophthalmology at Harvard Medical School (2024โ€“Present) under the guidance of Dr. Nazlee Zebardast. ๐ŸŒฑ Previously, as a Graduate Research Assistant at UMASS Amherst (2020-2024), Dr. Moradi developed AI algorithms for Optical Coherence Tomography (OCT) and advanced deep learning models for kidney transplant and Age-related Macular Degeneration (AMD). ๐Ÿ’ก He also contributed to the development of robotic-assisted OCT for pre-transplant kidney monitoring. ๐Ÿ’ป With a rich background in computational modeling, deep learning, and bioinstrumentation, Dr. Moradi is proficient in Python, OpenCV, MATLAB, and more. ๐ŸŽ“ He holds a Master’s from Tehran University of Medical Sciences, specializing in advanced medical technologies.

AWARD AND HONORS

๐ŸŒŸ Dr. Mousa Moradi, a dedicated BME PhD student, has garnered numerous accolades for his outstanding research and academic excellence. He was honored with the SPIE Photonic West Travel Award in 2024 and was a finalist for the Three Minute Thesis at UMASS Amherst in 2023. Previously, he received honorable mention for the SPIE Photonic West Best Student Paper Award in 2022. His academic journey includes prestigious awards such as the Excellence in Research Award and the UMass Dean Fellowship. Dr. Moradi’s achievements also include the Merit-based James Southerland Garvey International Scholarship and the BME MS Scholarship Award at Wichita State University. ๐ŸŽ“

TEACHING EXPERIENCE

Dr. Mousa Moradi has been actively engaged in biomedical education and research, serving as the Lead Instructor at Wellesley College from July to August 2023. His extensive teaching experience includes roles as a Teaching Assistant and Group Discussion Leader for Systems Biology 497B from 2021 to 2023, Bioinstrumentation 480 from 2019 to 2024, and Application of Computers in Biology 335 from 2019 to 2020. Dr. Moradi’s academic contributions also span as an Academic Lecturer for undergraduate courses such as Medical Physics, Health Physics, and Biophysics from 2015 to 2019. ๐ŸŽ“๐Ÿ”ฌโœจ

PRESENTATIONS

Dr. Mousa Moradi has presented groundbreaking research across various conferences and seminars. His contributions include studies on light-tissue interactions in pulse oximetry (SPIE West Photonic Conference ๐ŸŒ), AMD detection using ensemble learning (UMASS Medical School seminar ๐Ÿ‘๏ธ), and robotic-assisted optical coherence tomography for kidney monitoring (SPIE West Photonic Conference ๐Ÿค–). He also showcased innovations like high temporal resolution neuroimaging with near-infrared spectroscopy (BMES Annual Meeting ๐Ÿง ) and designed programmable high voltage power supplies for nuclear medicine (International Conference in Applied Research on Electrical, Mechanical and Mechatronic Engineering โšก). Dr. Moradi’s work extends to assessing radiation doses from medical devices (IUPESM World Congress ๐Ÿ“ก), emphasizing his significant impact on medical physics and engineering.

ย  Publication Top Notes ย 

Effect of ultra high frequency mobile phone radiation on human health

Deep ensemble learning for automated non-advanced AMD classification using optimized retinal layer segmentation and SD-OCT scans

Feasibility of the soft attention-based models for automatic segmentation of OCT kidney images

Feasibility of robotic-assisted optical coherence tomography with extended scanning area for pre-transplant kidney monitoring

Monte Carlo simulation of diffuse optical spectroscopy for 3D modeling of dental tissues

Ensemble learning for AMD prediction using retina OCT scans

Soft attention-based U-NET for automatic segmentation of OCT kidney images

Large Area Kidney Imaging for Pre-transplant Evaluation using Real-Time Robotic Optical Coherence Tomography

Integrating Human Hand Gestures with Vision Based Feedback Controller to Navigate a Virtual Robotic Arm

Design and evaluation of a GUI for signal and data analysis of mobile functional near-infrared spectroscopy systems

Dr. Mousa Moradi | Data Science and Analytics | Best Researcher Award

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