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Advanced Memory and Neural Computing

Advanced Memory and Neural Computing

276 faculty research Advanced Memory and Neural Computing on GradNova.

L
Computer Systems
Physical Unclonable Functions (pufs) and Hardware Security
Low-Power High-Performance VLSI Design
Cryptographic Implementations and Security
+2
S
Advanced Memory and Neural Computing
Interconnection Networks and Systems
Low-Power High-Performance VLSI Design
Parallel Computing and Optimization Techniques
+1
K
Advanced Memory and Neural Computing
Interconnection Networks and Systems
Low-Power High-Performance VLSI Design
Parallel Computing and Optimization Techniques
+1
A
Advanced Memory and Neural Computing
Neural Dynamics and Brain Function
Neuroscience and Neural Engineering
Neuroscience and Neuropharmacology Research
+1
Y
2D Materials and Applications
Advanced Memory and Neural Computing
Antimicrobial Peptides and Activities
Diamond and Carbon-Based Materials Research
+1
U
Advanced Memory and Neural Computing
Embedded Systems Design Techniques
Green It and Sustainability
Interconnection Networks and Systems
+1
A
Advanced Memory and Neural Computing
Ccd and CMOS Imaging Sensors
Ferroelectric and Negative Capacitance Devices
Magnetic Properties of Thin Films
+1
S
Advanced Memory and Neural Computing
Metamaterials and Metasurfaces Applications
Parallel Computing and Optimization Techniques
Radiation Effects in Electronics
+1
C
Advanced Memory and Neural Computing
EEG and Brain-Computer Interfaces
Neural Dynamics and Brain Function
Neural Networks and Applications
+1
A
Adaptive Decoding and Multi-Agent Learning
Brain-Computer Interfaces
Engineered Brain Plasticity
Sensorimotor Control Systems
+5
F
Florian Solzbacher

Gerald and Barbara Stringfellow Endowed and Distinguished Professor

Department of Electrical and Computer Engineering

University of Utah

Harsh Environment Mems, Including: Materials (sic (on Si), Soi, Gan), Metallisation Systems for High Temperatures and Aggressive Ambient Conditions, and Silicon Fusion Bonding and Packaging Issues
Neuroscience and Neural Engineering
Advanced Memory and Neural Computing
EEG and Brain-Computer Interfaces
+2
N
Neil Cotter

Professor (Lecturer), Advisor: Transfer Information / Honors Thesis

Department of Electrical and Computer Engineering

University of Utah

Neural Networks
Neural Networks and Applications
Neural Dynamics and Brain Function
Neuroscience and Neural Engineering
+2
M
Mario Badr

Associate Professor, Teaching Stream

Computer Science

University of Toronto

Advanced Data Storage Technologies
Advanced Memory and Neural Computing
Distributed and Parallel Computing Systems
Interconnection Networks and Systems
+1
G
Approximate Computing
Cloud Computing
Compilers
Computer Architecture
+11
J
J. Joshua Yang

Arthur B. Freeman Chair Professor of Electrical and Computer Engineering

Ming Hsieh Department of Electrical and Computer Engineering

University of Southern California

Advanced Memory and Neural Computing
Conducting Polymers and Applications
Neural Networks and Reservoir Computing
Perovskite Materials and Applications
+1
P
Priyadarshini Panda

Lloyd F. Hunt Early Career Chair of Electrical & Computer Engineering and Associate Professor of Electrical & Computer Engineering

Ming Hsieh Department of Electrical and Computer Engineering

University of Southern California

Advanced Memory and Neural Computing
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Ferroelectric and Negative Capacitance Devices
+1
P
Advanced Memory and Neural Computing
Embedded Systems Design Techniques
Low-Power High-Performance VLSI Design
Parallel Computing and Optimization Techniques
+1
G
Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Interconnection Networks and Systems
Low-Power High-Performance VLSI Design
+1
S
Data-Centric Embedded/secured Computing
Futuristic Programmable Magnetic Grids for Computer Vision Applications
Graphical Probabilistic Models for Stochastic High Performance Computing
Nano-Computing Using Beyond-CMOS Emerging Technologies
+11
A
Biologically-Inspired Robotics
Cognitive Robotics
Humanoid Robots
Multi-Robot Systems
+5
D
AI Accelerators
Emerging Technologies
Hardware Security
Low Power Design
+6
R
Robert Karam

Director of Undergraduate Affairs, Associate Professor

Computer Science

University of South Florida

Bioimplantable Devices (algorithms & Digital Hardware)
Hardware Security
Reconfigurable Computing
Physical Unclonable Functions (pufs) and Hardware Security
+4
X
Applications in Robotics, Cyber-Physical Systems, and Autonomous Systems
Machine Learning
Model Predictive Control
Multi-Agent Systems
+7
R
Emerging Nanoscale Electronics
Hardware Design for Machine Learning Systems
Low-Power and Reliability-Aware VLSI Circuits
Neuromorphic Computing
+7
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