Hi! I am Masoud Nateghi, a fourth-year PhD candidate in the department of Biomedical Informatics at Emory University. I work under the supervision of Dr. Reza Sameni at the Alphanumerics Lab and my research interests are digital signal processing, biomedical data science, AI for healthcare, and estimation theory. I have been working on biomedical signal processing domain for the past 5 years and have extensive exposure to modalities like EEG, ECG, PCG, PPG, EDA, MSNA, and continuous Blood Pressure. I extract clinically meaningful biomarkers from these biomedical signals and then I feed them to ML/DL models to recognize the hidden patterns in the data.
In my unprofessional life, I am a dad to 2 lovely kitties, Madoud and Doude. I have strong passion for music (rock/metal) and occasionaly play electric guitar. I also geek out on history and am a huge soccer fan. To avoid developing a computer belly, I play soccer (center midfield) and bike around Atlanta with Atlanta Social Bike Rides (ASBR).
Research Interests
- Digital signal processing
- Biomedical signal processing
- Statistical signal processing
- Biomedical data science
- AI for healthcare
- Estimation theory
- Kalman Filters
- Source Separation
Publications
- Self-Supervised Representation Learning of Fetal Heart Rate Outperforms a Foundation Model in Identifying Fetal Acidosis, Johann Vargas-Calixto et al., Computing in Cardiology, 2026
- A Kalman Filter-Based Framework for Granger Causality Assessment: Application in Tracking Maternal-Fetal Heart Rate Coupling, Masoud Nateghi et al., IEEE Transactions on Biomedical Engineering, 2026
- Estimation-Theoretic Bias Reduction for Oscillometric Blood Pressure Readings, Masoud Nateghi et al., AMIA Annual Symposium, 2026
- A Psycholinguistics Protocol with Simultaneous Multimodal Physiological Data Collection for Individualized Pre-Screening Depressive Disorders, Reza Sameni et al., protocols.io, 2025
- Prescreening Depression Using Wearable Electrocardiogram and Photoplethysmogram Data from a Psycholinguistic Experiment, Sajjad Karimi et al., Physiological Measurement, 2025
- Decoding Depression: Event Related Potential Dynamics and Predictive Neural Signatures of Depression Severity, Bradley T Stone et al., Journal of Affective Disorders, 2025
- Model-Based Electroencephalogram Instantaneous Frequency Tracking: Application in Automated Sleep-Wake Stage Classification, Masoud Nateghi et al., Sensors, 2024
- Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing, Seibi Kobara et al., Artificial Intelligence in Medicine (AIME), 2024
