Dr. Daniel Kristanto
Kontakt
Leitung
Sekretariat
Anschrift
Anfahrt und Lageplan
Dr. Daniel Kristanto
Research Interests
- Interpretable artificial intelligence in neuroimaging research
- Meta-science
- Structural equation modeling
Academic positions
| Since 03/2025 | Postdoctoral Researcher at the Department of Psychology, Division for Psychological Methods and Statistics, Carl von Ossietzky Universität Oldenburg. (Funded by Carl von Ossietzky Young Researchers’ Fellowship) |
| 04/2022 – 02/2025 | Postdoctoral Researcher at the Department of Psychology, Division for Psychological Methods and Statistics, Carl von Ossietzky Universität Oldenburg. (Funded by DFG Priority Program: META-REP) |
| 07/2022 – 01/2023 | Research Fellow, Joint Research Fellowship between HWK (Hanse-Wissenschaftskolleg) and Faculty of Medicine, Carl von Ossietzky Universität Oldenburg |
| 09/2021– 02/2022 | Postdoctoral Researcher at the Department of Physics, Hong Kong Baptist University |
Education
09/2018 – 08/2021
| PhD Student at the Department of Physics, Hong Kong Baptist University |
| 01/2016 – 10/2017 | Master of Science at Sirindhorn International Institute of Technology, Thammasat University, Thailand |
| 09/2011 – 05/2015 | Bachelor of Engineering at Gadjah Mada University, Indonesia |
Publications
Kristanto, D., Craig, A., & Taswell, C. (2025). Structure-Behavior-Action Framework for Coherent Scientific Enterprise. Brainiacs Journal of Brain Imaging And Computing Sciences, 6(3). https://doi.org/10.48085/Q273E0FA6
Al-Naji, A., Abdolalizadeh, A., & Kristanto, D. (2025). Morphometric Latent Factors in Autism and Their Association with Receptor Profiles and Behavior (p. 2025.12.08.692851). bioRxiv. https://doi.org/10.64898/2025.12.08.692851
Kristanto, D., Castro, D. R. D., & Abdolalizadeh, A. (2025). The Research Landscape of Dynamic Functional Connectivity in Parkinson’s Disease: Systematic Review and Interactive Tool (p. 2025.12.08.692999). bioRxiv. doi.org/10.64898/2025.12.08.692999
Wang, R., Chang, Z., Liu, X., Kristanto, D., Gartner, E. G. G., Liu, X., Liu, M., Wu, Y., Lui, M., & Zhou, C. (2025). Weak but influential: Nonlinear contributions of structural connectivity to human cognitive abilities and brain functions. arXiv. https://doi.org/10.48550/arXiv.2505.24125
Leung, A. Y.*, Kristanto, D.*, Gießing, C., Ioannidis, J.P.A., Hildebrandt, A., & Schmalz, X. (2025). Multiverse of developmental dyslexia subtyping methods: A Shiny app for analytical decision-making. https://doi.org/10.1101/2025.07.23.25332032. (*shared first authorship).
Short, C. A., Hildebrandt, A., Bosse, R., Debener, S., Özyağcılar, M., Paul, K., Wacker, J., & Kristanto, D. (2025). Lost in a large EEG multiverse? Comparing sampling approaches for representative pipeline selection. Journal of Neuroscience Methods, 424, 110564. https://doi.org/10.1016/j.jneumeth.2025.110564
Short, C., Breznau, N., Bruntsch, M., Burkhardt, M., Busch, N., Cesnaite, E., Frank, M., Gießing, C., Krähmer, D., Kristanto, D., Lonsdorf, T. B., Neuendorf, C., Nguyen, H. H. V., Rausch, M., Schmalz, X., Schneck, A., Tabakci, C., & Hildebrandt, A. (2025). Multi-curious: A Multi-Disciplinary Guide to Multiverse Analysis. MetaArXiv. https://doi.org/10.31222/osf.io/4yzeh_v1.
Leung, A. Y., Kristanto, D., & Schmalz, X. (2025). Re-SearchTerms: A Shiny app for exploring terminology variations in psychology and metascience. OSF. https://doi.org/10.31219/osf.io/qsp7x_v2.
Jacobsen, N. S. J., Kristanto, D., Welp, S., Inceler, Y. C., & Debener, S. (2025). Preprocessing choices for P3 analyses with mobile EEG: A systematic literature review and interactive exploration. Psychophysiology, 62, e14743. https://doi.org/10.1111/psyp.14743
Burkhardt, M., Hildebrandt, A., Gießing, C., & Kristanto, D. (2024). Quantifying Similarity between Graph-Theoretic Resting-State fMRI Data Processing Pipelines for Efficient Multiverse Analysis. Brainiacs Journal of Brain Imaging And Computing Sciences, 5, Issue 2 Edoc. https://doi.org/10.48085/XEE8F298E
Kristanto, D., Burkhardt, M., Thiel, C. M., Debener, S., Gießing, C., & Hildebrandt, A. (2024). The multiverse of data preprocessing and analysis in graph-based fMRI: A systematic literature review of analytical choices fed into a decision support tool for informed analysis. Neuroscience & Biobehavioral Reviews, 105846. https://doi.org/10.1016/j.neubiorev.2024.105846
Kristanto, D., Gießing, C., Marek, M., Zhou, C., Debener, S., Thiel, C., & Hildebrandt, A. (2023, October). An Extended Active Learning Approach to Multiverse Analysis: Predictions of Latent Variables from Graph Theory Measures of the Human Connectome and Their Direct Replication. In 2023 Guardians Workshop (Guardians) (pp. 1-13). IEEE. https://doi.org/10.48085/J962E0F53
Kristanto, D., Hildebrandt, A., Sommer, W., & Zhou, C. (2023). Cognitive abilities are associated with specific conjunctions of structural and functional neural subnetworks. NeuroImage, 279, 120304. https://doi.org/10.1016/j.neuroimage.2023.120304
Kristanto, D., Liu, X., Sommer, W., Hildebrandt A., & Zhou, C. (2021). What do neuroanatomical networks reveal about the ontology of human cognitive abilities?. iScience, Volume 25, Issue 8. https://doi.org/10.1016/j.isci.2022.104706
Kristanto, D., Liu, M., Liu, X., Sommer, W., & Zhou, C. (2020). Predicting Reading Ability from Brain Anatomy and Function: From Areas to Connections. NeuroImage, 116966. https://doi.org/10.1016/j.neuroimage.2023.120304
Kristanto, D., & Leephakpreeda, T. (2018). Effective dynamic prediction of air conditions within car cabin via bilateral analyses of theoretical models and artificial neural networks. Journal of Thermal Science and Technology, 13(2), JTST0020-JTST0020. https://doi.org/10.1299/jtst.2018jtst0020
Kristanto, D., & Leephakpreeda, T. (2017). Sensitivity analysis of energy conversion for effective energy consumption, thermal comfort, and air quality within car cabin. Energy Procedia, 138, 552-557. https://doi.org/10.1016/j.egypro.2017.10.158
Kristanto, D., & Leephakpreeda, T. (2017, March). Energy Conversion for Thermal Comfort and Air Quality Within Car Cabin. In IOP Conference Series: Materials Science and Engineering (Vol. 187, No. 1, p. 012037). IOP Publishing. https://doi.org/10.1088/1757-899X/187/1/012037
Kristanto, D., Wardhana, A., & Rosita, W. (2016) Comparison of Valve Static Friction Detection Method Based on Graphical Fitting. Journal of Automation, Control, and Intrumentation. Vol. 8, No. 2. https://doi.org/10.5614/joki.2016.8.2.4
Please visit the personal webpage (kristanto.de) for a more detailed information.