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

  1. 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.
  2. 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.
  3. 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.
  4. H. Sedghamiz. "BioSigKit: A Matlab Toolbox and Interface for Analysis of BioSignals" In Journal of Open Source Software (JOSS), 3(30), 671, 2018.
  5. 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).
  6. 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

Public Talks

Phone

Address

San Diego, CA United States of America