About me
My name is Hooman and I am a biomedical engineer by training. I have a bachelor’s and master’s of science in biomedical engineering from Linköping university in Sweden. During my undergraduate studies, I worked on instrumentation of prosthetics, biomaterials and signal processing. It was during the first year of my master’s degree that I wrote a simple code for ECG qrs beat detector and realized that it actually works in practice and could identify arrhythmias. That probably was my euphoria moment. From that day on, I have been applying the skills I learned in computer science and machine learning to healthcare related problems. I have been a Matlab Central Code contributor since 2013 and love to share my code get feedback and learn more. I have had the chance to design algorithms for wearable medical devices and implants (e.g. Cochlear and Vagus Nerve Stimulators). I also work on large databases from clinical trials and apply machine learning to draw meaningful conclusions. Furthermore, from 2016 to 2018 I had the chance to work on evolutionary biology and designed efficient algorithms for simulation of progression of illnesses in cells and genes.
I currently live in beautiful San Diego, CA with my love Dominika and two dogs (Tobi and Dante).
Time Line
| Event | Description | Institute/Company | Date |
|---|---|---|---|
| B.Sc | Biomedical Engineering | National Polytechnic University of Armenia | 2005-2009 |
| Internship | Deception Detection from EEG | University Technology Malaysia | 2009 |
| M.Sc | Biomedical Engineering and Signal Processing | Linköping University Sweden | 2010-2013 |
| Internship | Worked on retinal implants | Pixium Vision | 2011-2012 |
| Master's Thesis | Sponsored by Philips to work on X-ray and CT machines | Philips Medical Systems | 2012-2013 |
| R&D Engineer | Developed algorithm for cochlear implants | MED-EL Electronics | 2013-2016 |
| Senior Programmer | Developed high performance computational biology tools | Nova SouthEastern University | 2016-2017 |
| Senior Programmer | Developed high performance computational biology tools | Rechester General Hospital | 2017-2018 |
| Senior Research Scientist | Algorithm developer and Machine Learning on physiological signals applied to sleep apnea and seizure prediction | LivaNova | 2018-2020 |
| Senior Data Scientist Algorithm Developer | Algorithm development and ML for wearable Continous Glocuse Monitoring (CGM). | Biolinq | 2020-Now |
Publications
- H. Sedghamiz, M. Morris, TJK. Craddock, D. Whitley, G. Broderick. "Bio-ModelChecker: Using Bounded Constraint Satisfaction to Seamlessly Integrate Observed Behavior with Prior Knowledge of Biological Networks" In Frontiers in Bioengineering and Biotechnology, Bioinformatics, 2019.
- H. Sedghamiz, M. Morris, TJK. Craddock, D. Whitley, G. Broderick. "Computation of Robust Minimal Intervention Sets in Multi-valued Biological Regulatory Networks" In Frontiers in Physiology, section Systems Biology, 2019.
- H. Sedghamiz, M. Morris, TJK. Craddock, D. Whitley, G. Broderick. "High-fidelity discrete modeling of the HPA axis: a study of regulatory plasticity in biology" In BMC Systems Biology 1-12-76, 2018.
- H. Sedghamiz. "BioSigKit: A Matlab Toolbox and Interface for Analysis of BioSignals" In Journal of Open Source Software (JOSS), 3(30), 671, 2018.
- H. Sedghamiz, W. Chen, M. Rice, D. Whitley, G. Broderick. "Selecting Optimal Models Based on Efficiency and Robustness in Multi-valued Biological Networks" In 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE).
- H. Sedghamiz, D. Santonocito. "Unsupervised Detection and Classification of Motor Unit Action Potentials in Intramuscular Electromyography Signals" In The 5th IEEE International Conference on E-Health and Bioengineering - EHB Nov 2015.
News Articles
- How text mining is changing the way we tackle chronic disease. Elsevier Connect, 2017
Public Talks
- Regulatory Biology: It’s Only Logical. Science + Math Rochester Institute of Technology, 2017