GradNova

Ferroelectric and Negative Capacitance Devices

103 faculty research Ferroelectric and Negative Capacitance Devices on GradNova.

C

Associate Professor and MS Faculty Advisor

Department of Electrical Engineering

The University of Texas at Arlington

Beyond-CMOS Device and Interconnect Exploration

Hardware Security

Neuromorphic and In-Memory Computing for Deep Learning Applications

Reconfigurable Computing

+6

L

Professor, Electrical & Computer Engineering and Materials Science & Engineering; O'Donnell Foundation Chair II; Member, National Academy of Engineering

Department of Electrical and Computer Engineering

Texas A&M University

3D IC and Tsv Technologies

Advanced Memory and Neural Computing

Electronic Packaging and Soldering Technologies

Ferroelectric and Negative Capacitance Devices

+1

P

Associate Professor

Department of Electrical Engineering

Stanford University

Computer Architecture, Security, Hardware/software Systems

Integrated Circuits and Systems

Software Systems, Security, Distributed Systems and Networks

Advanced Memory and Neural Computing

+4

V

Assistant Professor, Elmore Scholar of Excellence

Electrical and Computer Engineering

Purdue University System

Advanced Memory and Neural Computing

Advanced Neural Network Applications

Ccd and CMOS Imaging Sensors

Ferroelectric and Negative Capacitance Devices

+1

N

Associate Professor

Department of Electrical Engineering

Pennsylvania State University

Advanced Memory and Neural Computing

Ferroelectric and Negative Capacitance Devices

Photonic and Optical Devices

Radio Frequency Integrated Circuit Design

+1

A

Abhronil Sengupta

Associate Professor

Department of Electrical Engineering

Pennsylvania State University

Advanced Memory and Neural Computing

Ferroelectric and Negative Capacitance Devices

Neural Dynamics and Brain Function

Neural Networks and Applications

+1

H

Hritom Das, Ph.D.

Assistant Professor

School of Electrical and Computer Engineering

Oklahoma State University

Advanced Memory and Neural Computing

Ccd and CMOS Imaging Sensors

Ferroelectric and Negative Capacitance Devices

Neural Dynamics and Brain Function

+1

Y

Professor, Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Northeastern University

Model Compression of Deep Neural Networks (dnns)

Neuromorphic Computing and Non-Von Neumann Computing Paradigms

Real-Time and Energy-Efficient Deep Learning and Artificial Intelligence Systems

Advanced Neural Network Applications

+4

S

Sumitha George, Ph.D.

Assistant Professor

Department of Electrical and Computer Engineering

North Dakota State University

Advanced Memory and Neural Computing

Advancements in Semiconductor Devices and Circuit Design

Ferroelectric and Negative Capacitance Devices

Parallel Computing and Optimization Techniques

+1

S

Synergy Microwave Chair & Synopsys Scholar

Helen and John C. Hartmann Department of Electrical and Computer Engineering

New Jersey Institute of Technology

Advanced Memory and Neural Computing

Advanced Neural Network Applications

Ferroelectric and Negative Capacitance Devices

Parallel Computing and Optimization Techniques

+1

S

AMAX Career Development Professor in Materials Engineering, Assistant Professor of Materials Science and Engineering; joint appointment in EECS [EE]

Department of Electrical Engineering and Computer Science (EECS)

Massachusetts Institute of Technology

Electronic, Magnetic, Optical and Quantum Materials and Devices

Nanoscale Materials, Devices, and Systems

Ferroelectric and Negative Capacitance Devices

+4

T

Theda Daniels-Race

Michel B. Voorhies Distinguished Professor

Division of Electrical and Computer Engineering

Louisiana State University

Investigation of Nanoscale Electro-Optical Phenomena

Nanoelectronics: Materials Deposition, Characterization, and Device Structure Fabrication

Quantum Science

Semiconductor Materials and Devices

+2

R

Assistant Professor

Mike Wiegers Department of Electrical and Computer Engineering

Kansas State University

Advanced Memory and Neural Computing

Ferroelectric and Negative Capacitance Devices

Neural Dynamics and Brain Function

Neuroscience and Neural Engineering

+1

D

Assistant Teaching Professor

Department of Electrical and Computer Engineering

Johns Hopkins University

Advanced Memory and Neural Computing

Ccd and CMOS Imaging Sensors

Ferroelectric and Negative Capacitance Devices

Neural Dynamics and Brain Function

+1

S

Professor

School of Electrical and Computer Engineering

Georgia Institute of Technology

Advanced Memory and Neural Computing

Ferroelectric and Negative Capacitance Devices

Ferroelectric and Piezoelectric Materials

Parallel Computing and Optimization Techniques

+1

A

Arijit Raychowdhury

School Chair-Academic

School of Electrical and Computer Engineering

Georgia Institute of Technology

Advanced Memory and Neural Computing

Advancements in Semiconductor Devices and Circuit Design

Ferroelectric and Negative Capacitance Devices

Low-Power High-Performance VLSI Design

+1

S

Saibal Mukhopadhyay

Professor

School of Electrical and Computer Engineering

Georgia Institute of Technology

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

Asif Islam Khan

Associate Professor

School of Electrical and Computer Engineering

Georgia Institute of Technology

Advancements in Semiconductor Devices and Circuit Design

Copper Interconnects and Reliability

Ferroelectric and Negative Capacitance Devices

Semiconductor Materials and Devices

+1

S

Professor

School of Electrical and Computer Engineering

Georgia Institute of Technology

Advanced Memory and Neural Computing

Ferroelectric and Negative Capacitance Devices

Ferroelectric and Piezoelectric Materials

Semiconductor Materials and Devices

+1

S

Assistant Professor

Computer Science

Florida Atlantic University

Advanced Memory and Neural Computing

Ferroelectric and Negative Capacitance Devices

Formal Methods in Verification

Parallel Computing and Optimization Techniques

+1

T

Tania Roy, Ph.D.

Associate Professor of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Duke University

Energy-Efficient Electronics

High Power Electronics

Neuromorphic Computing

Optoelectronics

+8

H

Chair of Electrical and Computer Engineering, Marie Foote Reel E’46 Distinguished Professor

Department of Electrical and Computer Engineering

Duke University

Emerging Memory Technologies, Circuit and Architecture

Low Power Circuits and Systems

Machine Learning Acceleration and Trustworthy AI

Neuromorphic Computing Systems

+3

J

Associate Professor

School of Electrical and Computer Engineering

Cornell University

Advanced Memory and Neural Computing

Ferroelectric and Negative Capacitance Devices

Neural Networks and Reservoir Computing

Z

Assistant Professor of Computer Science

Computer Science

Columbia University

AI for Computing System Design

Computer Architecture

Software-Hardware Co-Design

+8