Distributed Computing
ETH Zurich

Ard Kastrati

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

Theses & Labs

Current Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
DeepEye: Benchmarking & GeneralizationBArd KastratiHS 24
DeepEye: Benchmarking PlatformBArd KastratiHS 24
Egocentric Action RecognitionMArd KastratiHS 24
Foundation Models for Decoding Brain Activity - BenchmarkingBArd KastratiHS 24
Foundation Models for Decoding Brain Activity - ModelsMArd KastratiHS 24
Giving ChatGPT a Virtual BodySArd KastratiHS 24
Multi-modal Contrastive Learning for Emotion RecognitionMArd KastratiHS 24
Neural Networks for EEG Data: Compression and Reconstruction ValidationSArd Kastrati,
Luca Lanzendörfer		HS 24
Unified Model for EEG-based Eye TrackingBArd KastratiHS 24

Past Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Compute-Efficient Pretraining of Large EEG Models [confidential]BArd KastratiFS 24
Deep Learning-Based Compression of EEG Data Using Neural Codecs [confidential]SArd Kastrati,
Luca Lanzendörfer		FS 24
Pre-training a Deep Learning Model for Decoding Brain Activity [confidential]BArd KastratiHS 23
Diverse Datasets for BCI [confidential]SArd KastratiHS 23
Expressions and Emotion Detection from HMD SensorsMArd KastratiFS 23
From Pixels to Nodes: A Segmentation-Driven Approach to Image ClassificationGKarolis Martinkus,
Ard Kastrati		FS 23,
,
Deep Learning Sensor Fusion Models in the domain of Electroencephalogram-based Eye Tracking [confidential]MArd KastratiHS 22
EEG - Eye Tracking: A Wavelet Packets ApproachSArd KastratiHS 22
On the Mental State Classification in the VSS Paradigm [confidential]MArd KastratiHS 22
Predicting Horizontal Direction of Eye Movement using Electroencephalography Data from EEGEyeNet’s Visual Symbol Search DatasetSArd KastratiHS 22
Towards Semi-Supervised Region-Learning for Electroencephalography ModelsSArd KastratiHS 22,
Jieming Li,
Algorithm Learning on OEISBPeter Belcák,
Ard Kastrati		FS 22
Data-driven Preprocessing of EEG DataMArd Kastrati,
Benjamin Estermann		FS 22
DeepEye: Eye Tracking with Deep LearningSArd KastratiFS 22
On the Generalization of Saliency Models [confidential]BArd KastratiFS 22
Pretrained Model for Understanding of Integer SequencesBPeter Belcák,
Ard Kastrati		FS 22
Abstraction and Reasoning ChallengeBArd KastratiHS 21
Benchmarking Graph Neural Networks [confidential]MBéni Egressy,
Ard Kastrati		HS 21
CloudMLS: A Cloud-based E2EE schemeMKarolis Martinkus,
Ard Kastrati		HS 21
Preprocessing of EEG Data for DL Models [confidential]SArd KastratiHS 21
A Framework for Algorithmic Learning: How Does Complexity Arise in Evolution?GArd KastratiFS 21,
OEIS Sequence Classification [confidential]SArd KastratiFS 21
Beyond Left-Right Gaze Prediction with EEG Data [confidential]BArd Kastrati,
Damian Pascual		FS 21
End to End Encryption in a Cloud-Based Messenger [confidential]SArd Kastrati,
Karolis Martinkus		FS 21
Evolutionary Methods for SequencesBArd KastratiFS 21
Preprocessing of EEG Data for Deep Learning Models [confidential]SArd Kastrati,
Damian Pascual		FS 21
Study About the Size and Quality of the EEG DatasetSArd Kastrati,
Damian Pascual		FS 21