Thorir Mar Ingolfsson
Scholar

Thorir Mar Ingolfsson

Google Scholar ID: TyRxmUkAAAAJ
Doctoral student, ETH Zurich
Machine LearningFoundation ModelsArtificial IntelligenceBiosignalsTinyML
Citations & Impact
All-time
Citations
665
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Published papers such as 'A Muscle Pennation Angle Estimation Framework From Raw Ultrasound Data for Wearable Biomedical Instrumentation' and 'Reducing False Alarms in Wearable Seizure Monitoring'.
Research Experience
  • Involved in the High-Precision Control and Localization for Robotic Billiard Shots project, which combines the fields of view of two cameras (an overhead camera pointing down on the table and a cue-mounted camera) to allow a robotic arm to achieve the excellent cueing accuracy observed in human players.
Education
  • Ph.D. in Electrical Engineering and Information Technology, ETH Zurich, supervised by Prof. Dr. Luca Benini; M.Sc. in Electrical Engineering and Information Technology, 2020, ETH Zurich; B.Sc. in Electrical and Computer Engineering, 2018, University of Iceland.
Background
  • Research interests include applying robust and practical machine learning approaches, particularly in bio-signal analysis, taking into account the characteristics and constraints of wearable edge devices and IoT units. Currently researching the use case of using bio-signals to detect and forecast seizures.
Miscellany
  • Interests include Artificial Intelligence, Neural Architecture Search, and Bio-signal Classification.