Kayhan Latifzadeh

Kayhan Latifzadeh

Hello, world!

I'm Kayhan [kʲejhɒːn]. I studied Computer Engineering at the University of Guilan, Rasht, Iran. I then pursued a Master's degree in Artificial Intelligence and Robotics at SRTTU, Tehran, Iran. Currently, I am a PhD Candidate in Computer Science at the Computational Interaction (COIN) group (under the supervision of Prof. Luis A. Leiva) at the University of Luxembourg, Luxembourg.

My research focuses on decoding physiological signals to enhance human-computer interaction (HCI), with an emphasis on electroencephalogram (EEG) signals, eye tracking, and analysis of head and hand movements. I explore how these signals can be leveraged to understand user states and to inform the design of more adaptive and responsive interactive systems. My work spans key HCI contexts including visual attention modeling, skill assessment, affective computing, and cognitive load assessment. I use machine learning techniques to model and interpret these physiological signals.

Throughout my PhD studies, I had the opportunity to collaborate as a visiting researcher with the Humans Interacting with Computers (HICUP) lab (under the supervision of Prof. Klen Čopič Pucihar and Prof. Matjaž Kljun) at the University of Primorska, Slovenia, the Information eXperience (IX) Lab (under the supervision of Prof. Jacek Gwizdka) at the University of Texas at Austin, USA, and the Advanced Mixed Reality Interfaces Lab (under the supervision of Prof. Alexander Plopski) at the Graz University of Technology, Austria.

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

Publications

  1. 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]

  2. 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]

  3. Kayhan Latifzadeh, Luis A Leiva. (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]

  4. 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]

  5. 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]

  6. 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]

  7. 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]

  8. 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

Talks

Teaching

Alumni

© 2025, Kayhan Latifzadeh. Last update: October 2025.