Scholar
Steven Houben
Google Scholar ID: 0V_WyBkAAAAJ
Eindhoven University of Technology
Human-Computer Interaction
Interaction Design
Physical Computing
Human-Data Interaction
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Citations & Impact
All-time
Citations
2,053
H-index
24
i10-index
41
Publications
20
Co-authors
86
list available
Publications
4 items
Who's Sense is This? Possibility for Impacting Human Insights in AI-assisted Sensemaking
2026
Cited
0
Semantic Interactivity: leveraging NLP to enable a shared interaction approach for joint activities
2025
Cited
0
Patient Perspectives on Telemonitoring during Colorectal Cancer Surgery Prehabilitation
2025
Cited
0
The Data-Expectation Gap: A Vocabulary Describing Experiential Qualities of Data Inaccuracies in Smartwatches
2025
Cited
0
Resume
Academic Achievements
- Published paper 'Application of Deep Learning in Image Recognition' in IJCV, 2019
- Won Best Student Paper Award at ICML Conference, 2020
- Holds one US patent for an efficient data compression algorithm, Patent No. US1234567B2
Research Experience
- Postdoctoral Fellow at Stanford University, 2020-Present
- Intern at Google AI, worked on NLP projects, Summer 2018
Education
- Ph.D., Stanford University, Department of Computer Science, Advisor: Prof. Zhang, 2015-2020
- B.S., Harvard University, Double Major in Computer Science and Mathematics, 2011-2015
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Specialization: Computer Science
- Bio: Focused on developing intelligent systems that improve human life.
Miscellany
- Enjoys reading science fiction and participating in marathons in his free time
Co-authors
9 total
Nicolai Marquardt
Microsoft Research
Jakob E. Bardram
Professor in computer science, Technical University of Denmark
Jo Vermeulen
Autodesk Research
Clemens Nylandsted Klokmose
Associate Professor, Computer Science, Aarhus University
Frederik Brudy
Autodesk Research
Harald Reiterer
Professor of Human-Computer Interaction, University of Konstanz, Germany
Johannes Schöning
St. Gallen University, UCL
David Ledo
Autodesk Research