Steven Hicks
Scholar

Steven Hicks

Google Scholar ID: 2fVVFSwAAAAJ
Senior Research Scientist at SimulaMet
Machine LearningDeep LearningExplainable AI
Citations & Impact
All-time
Citations
4,371
 
H-index
30
 
i10-index
57
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Research Experience
  • Senior Research Scientist, SimulaMet, 2021–present: Conducted interdisciplinary AI research in medicine and education, focusing on algorithmic transparency; integrated AI into practical healthcare solutions to improve outcomes and efficiency.
  • Chief Technology Officer, Innsikt.AI, 2023–present: Leading technological strategy for virtual child avatars in police interview training, innovating with AI and VR to create realistic and ethical training environments.
  • Adjunct Associate Professor, Oslo Metropolitan University (OsloMet), 2023–present: Focused on machine learning for musculoskeletal disorders; supervising students and developing novel algorithms.
  • Senior Data Scientist, ForzaSys, 2022–2023: Designed algorithms for automated soccer highlight generation and developed anti-match-fixing software.
  • Front-End Developer, DHIS2, 2017–2018: Optimized table rendering and contributed to data management applications.
  • Full-Stack Developer, Axiom, 2014–2016: Architected a loan management system using .NET for a U.S. mortgage provider, covering full-stack development.
Background
  • A researcher and developer based in Oslo, Norway.
  • Main research interests include artificial intelligence (AI), with a focus on deep learning.
  • Currently a full-time research scientist at SimulaMet and CTO of Innsikt.AI.
  • Innsikt.AI is a startup developing virtual training software for police interviews with abused children.
  • Has published multiple papers on AI across diverse topics.