Mehmet Ozdemir
Visiting Researcher at Harvard Medical School
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolMehmet Ozdemir is a biomedical and computer engineer turned neuroscience researcher with nine years of experience bridging AI, neuroimaging, and neuromodulation. As a PhD candidate and visiting researcher at Harvard Medical School, he focuses on reproducibility and reliability of rTMS interventions by combining TMS-EEG, resting-state EEG, and MRI to probe cortical excitability and neuroplasticity in healthy and Alzheimer’s populations. He has a strong signal-processing and AI background from dual BSc degrees and an MEng, and his graduate work applies machine learning to predict rTMS outcomes and support early diagnosis of neurological disorders. Mehmet also contributes to the scientific community as a senior associate editor and peer reviewer, reflecting a commitment to research rigor and dissemination. A not-obvious strength is his hands-on blend of clinical neuromodulation experiments with computational EEG source imaging and network connectivity analyses, enabling translational insights across bench and bedside.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Department of Biomedical Technologies, Doctor of Philosophy - PhD, Department of Biomedical Technologies at İzmir Katip Çelebi ÜniversitesiDoctor of Philosophy - PhD - Visiting PhD Student, Neuroscience, Doctor of Philosophy - PhD - Visiting PhD Student, Neuroscience at Harvard UniversityMaster of Engineering - MEng, Electrical, Electronics and Communications Engineering, Master of Engineering - MEng, Electrical, Electronics and Communications Engineering at Kocaeli Üniversitesi
Github Skills (12)
emotion-analysis10
artificial-intelligence10
convolutional-neural-networks10
emotion-recognition10
corona10
glcm10
deep-learning9
deep-neural-networks7
sst7
py2
raspberry2
python1
Programming languages (2)
Github contributions (5)
mkfzdmr/Deep-Learning-based-Emotion-Recognition
Jun 2020 - Mar 2021
Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN
Contributions:6 commits, 2 PRs, 9 pushes in 9 months
emotion-recognitioneeg-signalsdeep-neural-networksemotional-statesemotion-estimation
mkfzdmr/COVID-19-ECG-Classification
Mar 2021 - May 2021
This repository contains the source codes of the article published to detect changes in ECG caused by COVID-19 and automatically diagnose COVID-19 from ECG data.
Contributions:2 releases, 10 commits, 11 pushes in 2 months
ecgecg-classificationecg-signaldeep-learningartificial-intelligence
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