
Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Volkan Cevher
Also published under:V. Cevher
Affiliation
LIONS, EPFL, Lausanne, Switzerland
Topic
65-nm CMOS,Convolutional Neural Network,Data Rate,Fast Fourier Transform,Neural Recordings,Receiver Side,Adam Optimizer,Analog-to-digital Converter,Batch Normalization,Binary Decision Tree,Bit-width,Capacitive Coupling,Combination Of Different Techniques,Compression Method,Data Augmentation,Decision Tree,Deep Image Prior,Deep Neural Network,Demand Data,Denoising,Dense Connections,Descriptive Indices,False Alarm,False Alarm Rate,Feature Maps,Feed-forward Network,Finite Impulse Response,Finite Impulse Response Filter,Front End,Gain Adjustment,Generative Adversarial Networks,Gradient Descent,Hadamard Product,Higher Degree,Image Recognition,Initialization Strategy,Interest In The Field,Inverse Problem,Leave-one-out Cross-validation,Limited Power,Local Field,Lookup Table,Matrix Production,Max-pooling,Neural Data,Neural Network,Neural Signals,Normalization Strategy,Penalty Parameter,Polynomial Expansion,
Biography
Volkan Cevher (S’95–M’06–SM’10) received the B.Sc. (valedictorian) degree in electrical engineering from Bilkent University, Ankara, Turkey, in 1999, and the Ph.D. degree in electrical and computer engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2005.
He was a Research Scientist with the University of Maryland at College Park, College Park, MD, USA, from 2006 to 2007, and Rice University, Houston, TX, USA, from 2008 to 2009. He is currently an Associate Professor with the École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, and a Faculty Fellow with the Electrical and Computer Engineering Department, Rice University. His current research interests include signal processing theory, machine learning, convex optimization, and information theory.
Dr. Cevher was a recipient of the IEEE Signal Processing Society Best Paper Award in 2016, the Best Paper Award at CAMSAP in 2015, the Best Paper Award at SPARS in 2009, and the ERC CG in 2016 and the ERC StG in 2011.
He was a Research Scientist with the University of Maryland at College Park, College Park, MD, USA, from 2006 to 2007, and Rice University, Houston, TX, USA, from 2008 to 2009. He is currently an Associate Professor with the École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, and a Faculty Fellow with the Electrical and Computer Engineering Department, Rice University. His current research interests include signal processing theory, machine learning, convex optimization, and information theory.
Dr. Cevher was a recipient of the IEEE Signal Processing Society Best Paper Award in 2016, the Best Paper Award at CAMSAP in 2015, the Best Paper Award at SPARS in 2009, and the ERC CG in 2016 and the ERC StG in 2011.