Kayhan Latifzadeh

Kayhan Latifzadeh

Hello, world!

I'm Kayhan [kʲejhɒːn], a postdoctoral researcher at Neurofeedback Luxembourg and the University of Luxembourg, where I am an external member of the Computational Interaction (COIN) group.

I received my PhD in Computer Science (2026) from the University of Luxembourg, where I conducted my research in the COIN group under the supervision of Prof. Luis A. Leiva. During my PhD, I collaborated as a visiting researcher with the Humans Interacting with Computers (HICUP) Lab at the University of Primorska, Slovenia; the Information eXperience (IX) Lab at the University of Texas at Austin, USA; and the Advanced Mixed Reality Interfaces Lab at Graz University of Technology, Austria. I also hold a bachelor’s degree in Computer Engineering from the University of Guilan, Rasht, Iran, and a master’s degree in Artificial Intelligence and Robotics from SRTTU, Tehran, Iran.

My research focuses on decoding physiological signals to enhance human–computer interaction (HCI), with an emphasis on electroencephalography (EEG), eye tracking, and head and hand movement analysis. I investigate how multimodal physiological signals can be used to infer user states and support the design of adaptive and responsive interactive systems. My work spans several HCI domains, including visual attention modeling, skill assessment, affective computing, and cognitive load estimation, using machine learning methods to model and interpret these signals.

Maison du Nombre 6, avenue de la Fonte L-4364 Esch-sur-Alzette, Luxembourg

News

Publications

  1. Kayhan Latifzadeh, Parvin Emami, Fariba Emami, Saravanakumar Duraisamy, Luis A Leiva. (2026). Pixels, Plants, and People: Affective Evaluation of Urban Green Space. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. In Press.

  2. Kayhan Latifzadeh, Jacek Gwizdka, Luis A Leiva. (2025). A Versatile Dataset of Mouse and Eye Movements on Search Engine Results Pages. In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. 3412--3421. [DOI][Codes][Dataset]

  3. Mairo Villaizán-Vallelado, Matteo Salvatori, Kayhan Latifzadeh, Antonio Penta, Luis A Leiva, Ioannis Arapakis. (2025). AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored Search. In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. 255--265. [DOI][Dataset]

  4. Kayhan Latifzadeh, Luis A Leiva, Klen Čopič Pucihar, Matjaž Kljun, Iztok Devetak, Lili Steblovnik. (2025). Assessing Medical Training Skills via Eye and Head Movements. In Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. 1--10. [DOI][Codes][Dataset]

  5. Kayhan Latifzadeh, Luis A Leiva. (2025). Thalamus: A User Simulation Toolkit for Prototyping Multimodal Sensing Studies. In Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. 109--113. [DOI][Codes]

  6. Syrine Haddad, Kayhan Latifzadeh, Saravanakumar Duraisamy, Jean Vanderdonckt, Olfa Daassi, Safya Belghith, Luis A. Leiva. (2024). Good GUIs, Bad GUIs: Affective Evaluation of Graphical User Interfaces. In Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP). [DOI]

  7. Kayhan Latifzadeh, Nima Gozalpour, V Javier Traver, Tuukka Ruotsalo, Aleksandra Kawala-Sterniuk, Luis A. Leiva. (2024). Efficient Decoding of Affective States from Video-elicited EEG Signals: An Empirical Investigation. ACM Transactions on Multimedia Computing, Communications and Applications. ACM New York, NY. [DOI]

  8. Kayhan Latifzadeh, Luis A. Leiva. (2022). Gustav: Cross-device Cross-computer Synchronization of Sensory Signals. In Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology. 1--3. [DOI]

  9. Reza Sarailoo, Kayhan Latifzadeh, S Hamid Amiri, Alireza Bosaghzadeh, Reza Ebrahimpour. (2022). Assessment of instantaneous cognitive load imposed by educational multimedia using electroencephalography signals. Frontiers in Neuroscience. 16, 744737. Frontiers. [DOI]

Academic Service

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© 2026, Kayhan Latifzadeh. Last update: February 2026.