Events

Apr 25 - Apr 19, 2026

KAUST CEMSE AMCS STAT Graduate Seminar Thursday, Apr. 23

Rare-Event Simulation Methods for Outage Probability in GSC/MRC Systems under Rician Fading

Mahmoud Hassan Ghazal , Ph.D. Student, Electrical and Computer Engineering

Apr 23, 12:00 - 13:00

B9 R2325

Statistics of extremes Outage Probability Applied Probability

Jan 17 - Jan 11, 2026

Causal Representation Learning

Ali Tajer, Professor, Electrical, Computer, and Systems Engineering

Jan 15, 15:00 - 16:00

B1 L2 2202

machine learning causal representation learning statistical learning Information theory

Nov 29 - Nov 23, 2025

Trustworthy Learning for Multichannel Biosignals: Calibrated Uncertainty, Long-Range State-Space Modeling, and Inverse-Rate Regularization

Jiahao Hu, Ph.D. Student, Electrical and Computer Engineering

Nov 24, 16:00 - 17:30

B3 L5 R5220; Zoom Meeting 91006648759

Sep 20 - Sep 14, 2025

Geometric Sensor Fusion for Pose Estimation on Riemannian Manifolds

Mohammed Hussain AlSharif, Postdoctoral Research Fellow, California Institute of Technology (Caltech)

Sep 18, 11:00 - 12:00

B1 L3 R3119

Sep 13 - Sep 7, 2025

Watching Earth from Space: Methane, Mangroves, and Sinkholes in Saudi Arabia

Abdulrahman Aljurbua, Assistant Research Professor, KACST; Ibn Rushd Fellow, KAUST; Postdoctoral Scholar Fellowship Trainee in Planetary Science, California Institute of Technology (Caltech)

Sep 7, 12:00 - 13:00

B9 L2 R2325

Aug 30 - Aug 24, 2025

Beyond Connectivity: Paving the Road to Perceptive and Intelligent Networks

Hesham ElSawy, Associate Professor, School of Computing, Queen’s University

Aug 26, 13:30 - 14:30

B1 L3 R3119

Intelligent Communication connectivity edge computing

Asymptotic Analysis of Precoding in Large-Scale Multi-User Systems

Xiuxiu Ma, Ph.D., Electrical and Computer Engineering

Aug 25, 08:30 - 10:00

B1 L3 R3119

MIMO Massive MIMO

May 17 - May 11, 2025

FMCW Radar Applications for Automotive and Biomedical Applications

Vijith Varma Kotte, Ph.D. Student, Electrical and Computer Engineering

May 15, 15:00 - 17:00

B1 L3 R3119

deep learning Signal processing MIMO radars sensors

Signal Alignment: a Practical Way to Communicate Under Unpredictable Interference

Nikolaos Sidiropoulos, Louis T. Rader Professor Electrical and Computer Engineering, University of Virginia, USA

May 14, 13:30 - 14:30

B1 L3 R3119

wireless communication

Dec 2 - Nov 26, 2023

Analysis and Design of Linear Classifiers for High-Dimensional, Small Sample Size Data Using Asymptotic Random Matrix Theory

Lama Burhan Niyazi, Ph.D. (former), Electrical and Computer Engineering

Nov 26, 11:30 - 13:30

B1 L3 R3119

Nov 25 - Nov 19, 2023

Inferring effects of mutations from genomic evolutionary history

Dr. Muhammad Saqib Sohail, Hong Kong University of Science and Technology

Nov 20, 11:30 - 12:30

B1 L3 R3119

May 6 - Apr 30, 2023

GNSS Localization and Attitude Determination via Optimization Techniques on Riemannian Manifolds

Xing Liu, Postdoctoral Research Fellow, Electrical and Computer Engineering

May 3, 16:00 - 18:00

B1 L3 R3119

GNSS localization attitude determination

PPP-RTK: a review and recent developments

Peter Teunissen, Professor, Geodesy and Satellite Navigation, Delft University of Technology (DUT), Netherlands Honorary Professor at Melbourne and Curtin Universities, Australia, and Beihang and Tongji Universities, China

May 1, 13:00 - 14:00

B1 L3 R3119

PPP-RTK GPS Galileo QZSS IRNSS

Dec 18 - Dec 12, 2021

Signal Processing and Optimization Techniques for High Accuracy Indoor Localization, Tracking, and Attitude Determination

Mohammed Hussain AlSharif, Postdoctoral Research Fellow, California Institute of Technology (Caltech)

Dec 16, 14:00 - 15:00

B1 L3 R3119

Indoor localization Ultrasonic-based Localization Signal processing

Jul 31 - Jul 25, 2021

Stochastic Optimization in Target Positioning and Location-based Applications

Hui Chen, Ph.D. Student (former), Electrical and Computer Engineering

Jul 27, 17:00 - 19:00

KAUST

stochastic algorithm optimization Hand Gestures Recognition

Feb 27 - Feb 21, 2021

High-Dimensional Analysis of Regularized Convex Optimization Problems with Application to Massive MIMO Wireless Communication Systems

Ayed M. Alrashdi, Ph.D. Student (former), Electrical and Computer Engineering

Feb 21, 17:00 - 18:00

KAUST

Nov 14 - Nov 8, 2020

UAV Enabled IoT Network Designs for Enhanced Estimation, Detection, and Connectivity

Osama Bushnaq, Ph.D. (former), Electrical and Computer Engineering

Nov 9, 11:00 - 13:00

KAUST

Nov 16 - Nov 10, 2019

EE 398 Graduate Seminar

Tareq Al-Naffouri, Professor, Electrical and Computer Engineering

Nov 10, 12:00 - 13:00

B9 L2 H1 R2322

Jun 29 - Jun 23, 2019

Random Matrix Theory: Selected Applications from Statistical Signal Processing and Machine Learning

Khalil Elkhalil, Postdoctoral Research Fellow, Electrical and Computer Engineering

Jun 24, 09:00 - 10:00

B1 L4 R4214

Random Matrix Theory machine learning high dimensional statistics data science

Events

Apr 25 - Apr 19, 2026

Rare-Event Simulation Methods for Outage Probability in GSC/MRC Systems under Rician Fading

Jan 17 - Jan 11, 2026

Causal Representation Learning

Nov 29 - Nov 23, 2025

Trustworthy Learning for Multichannel Biosignals: Calibrated Uncertainty, Long-Range State-Space Modeling, and Inverse-Rate Regularization

Sep 20 - Sep 14, 2025

Geometric Sensor Fusion for Pose Estimation on Riemannian Manifolds

Sep 13 - Sep 7, 2025

Watching Earth from Space: Methane, Mangroves, and Sinkholes in Saudi Arabia

Aug 30 - Aug 24, 2025

Beyond Connectivity: Paving the Road to Perceptive and Intelligent Networks

Asymptotic Analysis of Precoding in Large-Scale Multi-User Systems

May 17 - May 11, 2025

FMCW Radar Applications for Automotive and Biomedical Applications

Signal Alignment: a Practical Way to Communicate Under Unpredictable Interference

Dec 2 - Nov 26, 2023

Analysis and Design of Linear Classifiers for High-Dimensional, Small Sample Size Data Using Asymptotic Random Matrix Theory

Nov 25 - Nov 19, 2023

Inferring effects of mutations from genomic evolutionary history

May 6 - Apr 30, 2023

GNSS Localization and Attitude Determination via Optimization Techniques on Riemannian Manifolds

PPP-RTK: a review and recent developments

Dec 18 - Dec 12, 2021

Signal Processing and Optimization Techniques for High Accuracy Indoor Localization, Tracking, and Attitude Determination

Jul 31 - Jul 25, 2021

Stochastic Optimization in Target Positioning and Location-based Applications

Feb 27 - Feb 21, 2021

High-Dimensional Analysis of Regularized Convex Optimization Problems with Application to Massive MIMO Wireless Communication Systems

Nov 14 - Nov 8, 2020

UAV Enabled IoT Network Designs for Enhanced Estimation, Detection, and Connectivity

Nov 16 - Nov 10, 2019

EE 398 Graduate Seminar

Jun 29 - Jun 23, 2019

Random Matrix Theory: Selected Applications from Statistical Signal Processing and Machine Learning

Information Science Lab (ISL)

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