Assist Prof. Dr. Rebaz OMER | Chemistry and Materials Science | Best Faculty Award

Assist Prof. Dr. Rebaz OMER | Chemistry and Materials Science | Best Faculty Award

Assist Prof. Dr. Rebaz OMER, Koya University, Iraq

Assist Prof. Dr. Rebaz OMER from Koya University, Iraq, is recognized for his outstanding contributions in Chemistry and Materials Science. His dedication to research and teaching has earned him the prestigious Best Faculty Award. Dr. OMER’s work spans advanced materials synthesis, chemical analysis, and their applications in various fields. He actively mentors students and collaborates on innovative projects aimed at addressing global scientific challenges. His commitment to academic excellence is reflected in his extensive publication record and leadership in academic initiatives. 🌟 Dr. OMER continues to inspire the academic community through his profound impact and commitment to advancing scientific knowledge.

Profile👤

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Academic Journey 📚

Dr. Rebaz Anwar Omer, Lecturer of Organic Synthesis at Koya University’s Chemistry Department, holds a Ph.D. in Organic and Computational Chemistry from Firat University, Turkey. 🎓 His academic journey started with a Bachelor’s in Chemistry at Koya University (2008) and progressed with a Master’s in Environmental Chemistry from Bangor University (2012). 🌍 Dr. Omer’s expertise spans theoretical and computational chemistry, with a focus on organic synthesis. His academic pursuits reflect a deep commitment to advancing knowledge in the field of chemistry, contributing significantly to both academia and research. 🌿

Teaching and Leadership 👨‍🏫

Since 2013, 🎓 Dr. Rebaz Anwar Omer has played pivotal roles at Koya University, progressing from Assistant Lecturer to Head of Chemistry Department. His expertise spans Organic Chemistry, Drug Synthesis, and Computational Chemistry, showcasing his dedication to advancing chemical sciences. Dr. Omer’s leadership has been instrumental in shaping the academic landscape, fostering a dynamic learning environment for students. His contributions to research in theoretical and experimental chemistry have significantly enriched the field, with a focus on corrosion studies, drug reactivity, and material science. Dr. Omer continues to inspire through his teaching and innovative approach to chemistry education.

Research Contributions 🔬

Dr. Rebaz Anwar Omer is deeply involved in theoretical and experimental chemistry, making impactful strides in corrosion studies, drug reactivity, and material science. His research enriches these fields with innovative approaches and significant findings, published in reputable journals. Dr. Omer’s dedication to advancing scientific knowledge is evident through his rigorous exploration of chemical phenomena, contributing substantially to both theoretical frameworks and practical applications. His work not only enhances understanding but also addresses critical challenges in various industrial and environmental contexts, positioning him as a leading figure in contemporary chemistry research. 🧪🔬

Publications Top Notes📚

The inhibitor activity of some azo compound derivatives using density functional theory and molecular dynamics simulations

Novel 1,2,4-triazolethiol–thiophen Hybrids: Facile Synthesis, Characterization, ADMET Prediction and Molecular Docking

A novel cyclobutane-derived thiazole–thiourea hybrid with a potency against COVID-19 and tick-borne encephalitis: synthesis, characterization, and computational analysis

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

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

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

🎓🔬 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. 🏆📊 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. 🌟📚 Dr. Moradi’s commitment to excellence continues to inspire the academic community, driving forward the boundaries of data science and analytics. 🌐🔍

PROFILE

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EDUCATION

🎓 Dr. Mousa Moradi obtained his Ph.D. in Biomedical Engineering from the University of Massachusetts Amherst 🏫 (2020-2024). Prior to this, he earned an M.S. in Biomedical Engineering from Wichita State University 📚 (2019-2020). Dr. Moradi also holds an M.S. in Radiology from the National University of Iran 🏥 (Shahid Beheshti University) (2012-2014). He began his academic journey with a B.S. in Electrical Engineering from Kermanshah University of Technology ⚡ (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. 🧬✨

RESEARCH EXPERIENCE AND ACCOMPLISHMENTS

🌟 Dr. Mousa Moradi is a distinguished Post Doctoral Research Fellow in the Department of Ophthalmology at Harvard Medical School (2024–Present) under the guidance of Dr. Nazlee Zebardast. 🌱 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). 💡 He also contributed to the development of robotic-assisted OCT for pre-transplant kidney monitoring. 💻 With a rich background in computational modeling, deep learning, and bioinstrumentation, Dr. Moradi is proficient in Python, OpenCV, MATLAB, and more. 🎓 He holds a Master’s from Tehran University of Medical Sciences, specializing in advanced medical technologies.

AWARD AND HONORS

🌟 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. 🎓

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. 🎓🔬✨

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 🌐), AMD detection using ensemble learning (UMASS Medical School seminar 👁️), and robotic-assisted optical coherence tomography for kidney monitoring (SPIE West Photonic Conference 🤖). He also showcased innovations like high temporal resolution neuroimaging with near-infrared spectroscopy (BMES Annual Meeting 🧠) and designed programmable high voltage power supplies for nuclear medicine (International Conference in Applied Research on Electrical, Mechanical and Mechatronic Engineering ⚡). Dr. Moradi’s work extends to assessing radiation doses from medical devices (IUPESM World Congress 📡), emphasizing his significant impact on medical physics and engineering.

  Publication Top Notes  

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