About
Bineeth Kuriakose is a postdoctoral researcher at the AI Journalism Resource Center (AIJRC), Department of Journalism and Media Studies. His research interests lie at the intersection of artificial intelligence and human–computer interaction. In his current position, he works on AI for investigative journalism, designing and evaluating AI-driven methods that help journalists analyse large, complex and heterogeneous data sources, with an emphasis on transparency, accountability and human-centred design.
He holds a PhD in Engineering Science (specialisation in AI and Human–Computer Interaction) from OsloMet. He has also applied AI in health (webcam-based eye-tracking for clinical screening) and education (learning analytics for student dropout, as a Data Science Researcher at the University of Oslo).
Academic interests
- Human-centred AI and human–AI collaboration
- AI for investigative and data journalism, including algorithm auditing
- Accessibility and assistive technology
- Computer vision and multimodal AI applied to societal problems
Selected projects
- ALGO-PATHS: an algorithm audit of Instagram's recommendation system (funded by Fritt Ord)
- NORBRANDS: computer-vision analysis of food marketing targeting young people on social media (funded by the Norwegian Cancer Society)
- Investigative Journalism Toolkit (funded through OsloMet strategy funding for quality education)
Positions of responsibility (recent)
President, OsloMet RISE (Researchers in Short-term Engagement), 2026–present.
Awards and recognition (selected)
- OsloMet Prize for Promising Researcher, 2025
- OsloMet Working Environment Award, 2026, awarded to OsloMet RISE
Field of study
Machine learning Assistive technology Service design Human Computer Interaction Artificial Intelligence Computer Vision
Research groups
Publications and research
Scientific publications
Mathema, Rujeena;
Kuriakose, Bineeth
;
Lind, Pedro G.
; Nav, Shamimeh Mohajeri; Silva, Pedro Rego Lencastre e
(2026).
Validation of webcam-based eye-tracking for clinically relevant paradigms: Saccade, attention bias, and free-viewing tasks.
Intelligence-Based Medicine.
Vol. 14.
https://doi.org/10.1016/j.ibmed.2026.100384
Sandnes, Frode Eika
;
Canlar, Koray
;
Kuriakose, Bineeth
(2026).
“No More Workshops Please!”: In Search of Co-design Activities that Bring Users Closer to Decision-Making.
M., Antona,; C., Stephanidis, (Ed.).
Universal Access in Human-Computer Interaction. HCII 2026. p. 102-121.
Springer.
https://doi.org/10.1007/978-3-032-29653-5_7
Silva, Pedro Rego Lencastre e; Devkota, Ananta;
Bhandari, Shailendra
;
Kuriakose, Bineeth
;
Lind, Pedro
(2025).
Comparing eye-tracking time series imaging methods in ADHD screening.
Proceedings of the International Joint Conference on Neural Networks.
https://doi.org/10.1109/ijcnn64981.2025.11228340
Kuriakose, Bineeth
;
Shrestha, Raju
;
Sandnes, Frode Eika
(2024).
Assessing the performance, usability and cognitive workload of an AI-based navigation assistant: a quantitative study with people with visual impairments.
International Journal of Human Factors and Ergonomics.
Vol. 11.
https://doi.org/10.1504/IJHFE.2024.139166
Kuriakose, Bineeth
;
Sandnes, Frode Eika
(2024).
Navigating Inclusivity: Exploring Accessibility in Oslo's Public Transport Mobile App.
Fuglerud, Kristin Skeide; Leister, Wolfgang; Vidal, Juan Carlos Torrado (Ed.).
Universal Design 2024: Shaping a Sustainable, Equitable and Resilient Future for All. Proceedings of the Seventh International Conference on Universal Design (UD2024), Oslo, Norway, 20-22 November 2024. p. 331-338.
IOS Press.
https://doi.org/10.3233/SHTI241023
Kuriakose, Bineeth
;
Shrestha, Raju
;
Sandnes, Frode Eika
(2023).
Exploring the User Experience of an AI-based Smartphone Navigation Assistant for People with Visual Impairments.
Gena, Cristina; Russis, Luigi De; Spano, Davide; Lanzilotti, Rosa; Mascio, Tania Di; Prandi, Catia (Ed.).
CHItaly '23: Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter. p. 1-8.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3605390.3605421
Kuriakose, Bineeth
; Ness, Ida Marie;
Tengstedt, Maja Åskov
; Svendsen, Jannicke Merete; Bjørseth, Therese; Pradhan, Bijay Lal;
Shrestha, Raju
(2023).
Turn Left Turn Right - Delving type and modality of instructions in navigation assistant systems for people with visual impairments.
International Journal of Human-Computer Studies.
Vol. 179.
https://doi.org/10.1016/j.ijhcs.2023.103098
Kuriakose, Bineeth
; Cosescu, Irina;
Shrestha, Raju
;
Sandnes, Frode Eika
(2023).
Mind Your Step: A Diary Study of a Person with Visual Impairment Navigating a City with a Smart Cane.
Papadopoulos, G.A.; Achilleos, A.; Pissaloux, E; Velazquez, R. (Ed.).
ICT for Health, Accessibility and Wellbeing. IHAW 2022. p. 34-48.
Springer.
https://doi.org/10.1007/978-3-031-29548-5_3
Kuriakose, Bineeth
;
Shrestha, Raju
;
Sandnes, Frode Eika
(2022).
DeepNAVI: A deep learning based smartphone navigation assistant for people with visual impairments.
Expert Systems With Applications.
Vol. 212.
https://doi.org/10.1016/j.eswa.2022.118720
Kuriakose, Bineeth
;
Shrestha, Raju
;
Sandnes, Frode Eika
(2022).
LiDAR-Based Obstacle Detection and Distance Estimation in Navigation Assistance for Visually Impaired.
Antona, Margherita; Stephanidis, Constantine (Ed.).
Universal Access in Human-Computer Interaction. User and Context Diversity. p. 479-491.
Springer.
https://doi.org/10.1007/978-3-031-05039-8_35