Zur Startseite der Hochschule Rhein-Waal
Niloy Sikder, M.Sc.
Machine Learning for Big Sleep Data
Fakultät Technologie und Bionik
Wissenschaftlicher Mitarbeiter
Kontakt
Telefon
+49 2821 80673 9838
Email
Standort
Campus Kleve
Marie-Curie-Straße 1, 47533 Kleve
Kontakt in Fakultät Technologie und Bionik
Standort
Campus Kleve
Marie-Curie-Straße 1, 47533 Kleve
Profil
- Sikder, N., Verkaar, L., Paltarzhytskaya, A., Acan, S., Bovy, L., Almazova, T., Krugliakova, E., Rosenblum, Y., Krauledat, M., Dresler, M., & Zerr, P. (2026). Wearanize+: a multimodal dataset for evaluating wearable technologies in sleep research. Sleep advances, 7(1), 1–15. https://doi.org/10.1093/sleepadvances/zpaf094.
- Jafarzadeh Esfahani, M., Sikder, N., Ter Horst, R., Appel, K., Dresler, M., Daraie, A. H., Weber, F. D., & Bevelander, K. E. (2024). Citizen neuroscience: Wearable technology and open software to study the human brain in its natural habitat. European Journal of Neuroscience, 59(5), 948–965. https://doi.org/10.1111/ejn.16227.
- Sikder, N., Masud, M., Nahid, A.-A., Khan, M. A.-M., Bairagi, A. K., & Tiang, J. J. (2024). Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images. Scientific Reports, 14(1), 1–16. https://doi.org/10.1038/s41598-024-80013-0.
- Sikder, N., Esfahani, M., van Bakel, M., Idesis, S., Bovy, L., Weber, F., ter Horst, R., Krauledat, M., & Dresler, M. (2022). The quantified scientist: a longitudinal study to explore the interdependencies between sleep, stress, the gut and other bodily functions. In Journal of Sleep Research (Vol. 31, Issue Suppl. 1). https://doi.org/10.1111/jsr.13740.