Ard Kastrati

Distributed Computing Group
Computer Engineering and Networks Laboratory (TIK)
Department Electrical Engineering (D-ITET)
Office ETZ G 61.3
ETH Zurich

Gloriastrasse 35
8092 Zurich
Switzerland

phone	+41 44 63 27044
fax	+41 44 63 21036
email

Publications

Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation
Ard Kastrati, Martyna Beata Plomecka, Joël Küchler, Nicolas Langer and Roger Wattenhofer.
Gaze Meets Machine Learning Workshop (GMML@NeurIPS), New Orleans, Louisiana, USA, December 2022.
BibTeX
FACT: Learning Governing Abstractions Behind Integer Sequences
Peter Belcák, Ard Kastrati, Flavio Schenker and Roger Wattenhofer.
36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, November 2022.
External BibTeX
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
Lukas Wolf, Ard Kastrati, Martyna Plomecka, Alexander Veicht, Dustin Klebe, Jie-Ming Li, Roger Wattenhofer and Nicolas Langer.
39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 2022.
BibTeX
A gaze-based study design to explore how competency evolves during a photo manipulation task
Nora Castner, Béla Umlauf, Ard Kastrati, Martyna Plomecka, William Schaefer, Enkelejda Kasneci and Zoya Bylinskii.
13th ACM Symposium on Eye Tracking Research and Applications (ETRA), Seattle, June 2022.
BibTeX
KDSalBox: A toolbox of efficient knowledge-distilled saliency models
Ard Kastrati, Zoya Bylinskii and Eli Shechtman.
3rd Shared Visual Representations in Human and Machine Intelligence Workshop (SVRHM@NeurIPS), Online, December 2021.
Slides (PDF) BibTeX
EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction
Ard Kastrati, Martyna Beata Plomecka, Damian Pascual, Lukas Wolf, Victor Gillioz, Roger Wattenhofer and Nicolas Langer.
35th Conference on Neural Information Processing Systems (NeurIPS), Online, December 2021.
Slides (PDF) BibTeX
Using Deep Learning to Classify Saccade Direction from Brain Activity
Ard Kastrati, Martyna Beata Plomecka, Nicolas Langer and Roger Wattenhofer.
Proceedings of the 13th ACM Symposium on Eye Tracking Research and Applications (ETRA), Online, May 2021.
BibTeX
Multi-Threshold Asychronous Reliable Broadcast and Consensus
Martin Hirt, Ard Kastrati and Chen-Da Liu-Zhang.
24th International Conference on Principles of Distributed Systems (OPODIS), Online, December 2020.
BibTeX
Brief Announcement: Multi-Threshold Asynchronous Reliable Broadcast and Consensus
Martin Hirt, Ard Kastrati and Chen-Da Liu-Zhang.
34th International Symposium on Distributed Computing (DISC), Online, October 2020.
BibTeX

Theses & Labs

	Title	Type	Contact/Supervisor	Assigned
Available Theses & Labs
	Expressions & emotion detection from HMD sensors	B/M/S	Ard Kastrati	available
Current Theses & Labs
	Title	Type	Contact/Supervisor	Assigned	Student(s)
	EEG - Eye Tracking: Hybrid Model	M	Ard Kastrati	HS 22
	EEG - Eye Tracking: Hybrid Model	S	Ard Kastrati	HS 22
	EEG - Eye Tracking: Segmentation	G	Ard Kastrati	HS 22	, Jieming Li,
	EEG -- Eye Tracking: A Wavelet Packets Approach	B	Ard Kastrati	HS 22
	EEG, Eye Tracking and BCI	S	Ard Kastrati	HS 22
	EEG, Eye Tracking and BCI	M	Ard Kastrati	HS 22
Past Theses & Labs
	Title	Type	Contact/Supervisor	Assigned	Student(s)
	Algorithm Learning on OEIS	B	Peter Belcák, Ard Kastrati	FS 22
	Data-driven Preprocessing of EEG Data	M	Ard Kastrati, Benjamin Estermann	FS 22
	DeepEye: Eye Tracking with Deep Learning	S	Ard Kastrati	FS 22
	On the Generalization of Saliency Models [confidential]	B	Ard Kastrati	FS 22
	Pretrained Model for Understanding of Integer Sequences	B	Peter Belcák, Ard Kastrati	FS 22
	Abstraction and Reasoning Challenge	B	Ard Kastrati	HS 21
	Benchmarking Graph Neural Networks [confidential]	M	Béni Egressy, Ard Kastrati	HS 21
	CloudMLS: A Cloud-based E2EE scheme	M	Karolis Martinkus, Ard Kastrati	HS 21
	Preprocessing of EEG Data for DL Models [confidential]	S	Ard Kastrati	HS 21
	A Framework for Algorithmic Learning: How Does Complexity Arise in Evolution?	G	Ard Kastrati	FS 21	,
	OEIS Sequence Classification [confidential]	S	Ard Kastrati	FS 21
	Beyond Left-Right Gaze Prediction with EEG Data [confidential]	B	Ard Kastrati, Damian Pascual	FS 21
	End to End Encryption in a Cloud-Based Messenger [confidential]	S	Ard Kastrati, Karolis Martinkus	FS 21
	Evolutionary Methods for Sequences	B	Ard Kastrati	FS 21
	Preprocessing of EEG Data for Deep Learning Models [confidential]	S	Ard Kastrati, Damian Pascual	FS 21
	Study About the Size and Quality of the EEG Dataset	S	Ard Kastrati, Damian Pascual	FS 21

Ard Kastrati

Publications

Theses & Labs

Available Theses & Labs

Current Theses & Labs

Past Theses & Labs