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
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
Signal Processing and Optimization Techniques for High Accuracy Indoor Localization, Tracking, and Attitude Determination Mohammed Hussain AlSharif, Ph.D. Student (former), Electrical and Computer Engineering Dec 16, 14:00 - 15:00 B1 L3 R3119 Indoor localization Ultrasonic-based Localization Signal processing
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
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
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
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
