Kort om
Bineeth Kuriakose er postdoktor ved Institutt for journalistikk og mediefag. Hans nåværende forskning befinner seg i skjæringspunktet mellom kunstig intelligens og undersøkende journalistikk, hvor han utvikler KI-drevne metoder og verktøy for å hjelpe journalister med å avdekke komplekse saker. Arbeidet har et sterkt fokus på transparens, pålitelighet og menneskesentrert design.
Han har en doktorgrad innen de tverrfaglige feltene kunstig intelligens og menneske-maskin-interaksjon fra OsloMet – storbyuniversitetet. Med et hovedfokus på menneskesentrert kunstig intelligens (Human-Centered AI), har han tidligere forskningserfaring med bruk av KI innen tilgjengelighetsteknologi, helse og utdanning. Arbeidet hans forener ekspertise innen menneske-maskin-interaksjon, maskinlæring, datasyn, naturlig språkbehandling og datavisualisering, drevet av en dyp interesse for samfunnsnytte og innovasjon.
Som anerkjennelse for sitt bidrag til samfunnsrelevant tverrfaglig forskning, mottok han OsloMets pris for lovende forsker i 2025.
Fagfelt
Maskinlæring Assitive technology Servicedesign Human Computer Interaction Artificial Intelligence Datasyn
Forskningsgrupper
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
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 (Red.).
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. s. 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 (Red.).
CHItaly '23: Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter. s. 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. (Red.).
ICT for Health, Accessibility and Wellbeing. IHAW 2022. s. 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 (Red.).
Universal Access in Human-Computer Interaction. User and Context Diversity. s. 479-491.
Springer.
https://doi.org/10.1007/978-3-031-05039-8_35
Kuriakose, Bineeth
;
Shrestha, Raju
;
Sandnes, Frode Eika
(2021).
SceneRecog: A Deep Learning Scene Recognition Model for Assisting Blind and Visually Impaired Navigate using Smartphones.
ISBN: 9781665442077.
3510 s.
IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/SMC52423.2021.9658913
Kuriakose, Bineeth
;
Shrestha, Raju
;
Sandnes, Frode Eika
(2021).
Distance Estimation Methods for Smartphone-Based Navigation Support Systems.
Arai, Kohei (Red.).
Intelligent Systems and Applications,
Proceedings of the 2021 Intelligent Systems Conference (IntelliSys 2021) Volume 1. s. 658-673.
Springer Nature.
https://doi.org/10.1007/978-3-030-82196-8_49
