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Low-Power High-Performance VLSI Design

Low-Power High-Performance VLSI Design

183 faculty research Low-Power High-Performance VLSI Design on GradNova.

K
Cryptographic Implementations and Security
Low-Power High-Performance VLSI Design
Neuroscience and Neural Engineering
Physical Unclonable Functions (pufs) and Hardware Security
+1
P
3D IC and Tsv Technologies
Electromagnetic Compatibility and Noise Suppression
Low-Power High-Performance VLSI Design
Semiconductor Materials and Devices
+1
S
Adversarial Robustness in Machine Learning
Integrated Circuits and Semiconductor Failure Analysis
Low-Power High-Performance VLSI Design
Parallel Computing and Optimization Techniques
+1
S
Distributed and Parallel Computing Systems
Embedded Systems Design Techniques
Interconnection Networks and Systems
Low-Power High-Performance VLSI Design
+1
D
Radiation Tolerant Computer Systems
Reconfigurable Computing
Embedded Systems Design Techniques
Parallel Computing and Optimization Techniques
+3
N
Computational Drug Discovery Methods
Interconnection Networks and Systems
Low-Power High-Performance VLSI Design
Parallel Computing and Optimization Techniques
+1
M
Complexity and Algorithms in Graphs
Low-Power High-Performance VLSI Design
Optical Network Technologies
Scheduling and Optimization Algorithms
+1
V
Advancements in Pll and Vco Technologies
Advancements in Semiconductor Devices and Circuit Design
Analog and Mixed-Signal Circuit Design
Low-Power High-Performance VLSI Design
+1
A
Advanced Memory and Neural Computing
Advancements in Semiconductor Devices and Circuit Design
Ferroelectric and Negative Capacitance Devices
Low-Power High-Performance VLSI Design
+1
A
Advancements in Semiconductor Devices and Circuit Design
Graphene Research and Applications
Low-Power High-Performance VLSI Design
Magnetic Properties of Thin Films
+1
S
Advanced Memory and Neural Computing
Advancements in Semiconductor Devices and Circuit Design
Ferroelectric and Negative Capacitance Devices
Low-Power High-Performance VLSI Design
+1
V
Embedded Systems Design Techniques
Interconnection Networks and Systems
Low-Power High-Performance VLSI Design
Parallel Computing and Optimization Techniques
+1
L
Advancements in Semiconductor Devices and Circuit Design
Integrated Circuits and Semiconductor Failure Analysis
Low-Power High-Performance VLSI Design
Semiconductor Materials and Devices
+1
D
Advanced Neural Network Applications
Cloud Computing and Resource Management
Embedded Systems Design Techniques
Low-Power High-Performance VLSI Design
+1
S
3D IC and Tsv Technologies
Interconnection Networks and Systems
Low-Power High-Performance VLSI Design
Semiconductor Materials and Devices
+1
S
Advancements in Pll and Vco Technologies
Advancements in Semiconductor Devices and Circuit Design
Analog and Mixed-Signal Circuit Design
Ccd and CMOS Imaging Sensors
+1
J
Advanced Memory and Neural Computing
Analog and Mixed-Signal Circuit Design
Ccd and CMOS Imaging Sensors
Low-Power High-Performance VLSI Design
+1
A
Integrated Circuits and Semiconductor Failure Analysis
Low-Power High-Performance VLSI Design
Radiation Effects in Electronics
Radio Frequency Integrated Circuit Design
+1
J
Body Sensor Networks
Embedded Sensor Systems
Embedded Systems
Smart and Connected Health
+5
W
Advanced Memory and Neural Computing
Analog and Mixed-Signal Circuit Design
Ccd and CMOS Imaging Sensors
Low-Power High-Performance VLSI Design
+1
B
Bernd-Peter Paris

Associate Professor, Department of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

George Mason University

Adaptive Signal Processing
Communications
Computer Networks and Architectures
Statistical Signal Processing
+6
A
Andrew Douglas Hilton

Professor of the Practice in the Department of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Duke University

Computer Architecture, Specifically Architectural Support for Security and Energy-Efficient Performance
Parallel Computing and Optimization Techniques
Advanced Data Storage Technologies
Radiation Effects in Electronics
+2
D
Daniel Saab, PhD

Associate Professor, Department of Electrical, Computer, and Systems Engineering, Case School of Engineering

Department of Electrical, Computer, and Systems Engineering

Case Western Reserve University

Integrated Circuits and Semiconductor Failure Analysis
Low-Power High-Performance VLSI Design
Radiation Effects in Electronics
VLSI and Analog Circuit Testing
+1
W
Compressed Sensing
In-Memory Computing
Neural Engineering
Ultra-Low Power VLSI
+5
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