جستجوی استاد راهنمای دانشگاهی

• Distributed parameter systems
• Repetitive control
• Internal model based control
• +۱۳ مورد دیگر

Professor George Weiss is a Professor of Control Engineering at the Department of Electrical Engineering - Systems, Faculty of Engineering, Tel Aviv University. He has been at Tel Aviv University since October 2007, following previous appointments at Imperial College London (1998-2007), Exeter University (1996-1998), Ben-Gurion University (1991-1996), and The Weizmann Institute (1991-1992). His research bridges theoretical foundations of control systems with practical applications in renewable energy integration and power electronics. Professor Weiss earned his PhD in Applied Mathematics from The Weizmann Institute of Science in Israel in 1989 and his MEng in Control and Computer Engineering from the Polytechnic Institute of Bucharest in 1981. His academic journey includes postdoctoral positions at Virginia Tech (1989-1991) and Brown University (1988-1989). His research focuses on distributed parameter systems, repetitive control, internal model based control, passive and conservative systems, control in power electronics, and grid integration of renewable energy. He is renowned for developing the concept of "synchronverters" with Qing-Chang Zhong, enabling grid integration of large renewable energy generators. His work spans theoretical mathematical control and practical industrial applications, with significant contributions to wave energy conversion and wind turbine vibration suppression. Analysis of his recent publications reveals a strong emphasis on renewable energy applications, particularly wind and wave energy systems, alongside fundamental theoretical work on well-posed systems and distributed parameter control. His research integrates mathematical rigor with practical engineering solutions for energy conversion systems. Professor Weiss has received substantial research funding including a 4M Euro "ConFlex" grant from the European Commission (as PI) and multiple grants from the Israel Science Foundation. His work has been supported by EPSRC, the Royal Society, and industry partners including MST, Coriolis, Solar Edge, Bioness, and Synvertec. He has supervised numerous PhD students who have gone on to prominent academic positions worldwide and serves as academic responsible for the Control Teaching Laboratory. His consulting work demonstrates the practical impact of his research across the renewable energy sector.

Ami Wieselمشاهده پروفایل

استاد

• Signal Processing
• Machine Learning
• Covariance Estimation
• +۳ مورد دیگر

Ami Wiesel is a Professor at The Rachel and Selim Benin School of Computer Science and Engineering at The Hebrew University of Jerusalem. His research focuses on statistical signal processing, machine learning, and covariance estimation. Previously, he completed his postdoctoral studies at the University of Michigan with Professor Alfred Hero, earned his PhD in Electrical Engineering from Technion under Professors Yonina Eldar and Shlomo Shamai, and obtained his MSc and BSc in Electrical Engineering from Tel Aviv University. His research interests include robust covariance estimation , statistical learning , signal detection , and MIMO communications . Wiesel has made significant contributions to the field of structured covariance estimation, particularly in elliptical distributions and Tyler's estimator. His work bridges theoretical statistics with practical applications in radar systems, wireless communications, and hyperspectral imaging. Wiesel's publications show a clear trend toward integrating deep learning with traditional statistical signal processing methods. His recent work explores unbiased estimation using neural networks, fair principal component analysis, and deep learning applications for target detection with constant false alarm rate. His research spans theoretical foundations in covariance estimation to practical implementations in radar and communications systems. Among his notable scientific achievements are: Young Author Best Paper Award (2019) for 'Learning to Detect' Young Author Best Paper Award (2006) for 'Linear precoding via conic optimization for fixed MIMO receivers' Student Paper Award (2017) for 'Deep MIMO detection' Wiesel has advised numerous graduate students who have gone on to publish significant work in the field. His research has been supported by various grants focusing on statistical signal processing, machine learning applications, and radar systems. His monograph 'Structured Robust Covariance Estimation' (2015) has become a reference in the field. He maintains an active research group focusing on the intersection of statistical learning and signal processing, with applications in communications, radar, and medical imaging.