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11 Items found

Yunsi Fei


Professor, 
Electrical and Computer Engineering

Computer architecture, embedded systems, hardware-oriented security, design automation, mobile computing, underwater sensor networks

David Kaeli


COE Distinguished Professor, 
Electrical and Computer Engineering

Computer architecture; GPUs; heterogeneous computing; performance analysis; security and information assurance; hardware reliability and recovery; Big Data analytics; workload characterization

Mieczyslaw Kokar


Professor, 
Electrical and Computer Engineering

Cognitive radio; software engineering-self-controlling software; information fusion

Miriam Leeser


Professor, 
Electrical and Computer Engineering

Accelerators for compute intensive applications: reconfigurable hardware and graphics processing units (GPUs). Applications including biocomputing, machine learning, software-defined radio. Uses and implementations of computer arithmetic.

Xue "Shelley" Lin


Assistant Professor, 
Electrical and Computer Engineering

Adversarial machine learning; deep learning acceleration and hardware implementation; cyber-physical systems

Fabrizio Lombardi


ITC Endowed Professor, 
Electrical and Computer Engineering

Fault-tolerant computing, VLSI CAD, testing, configurable computing, distributed systems.

Ningfang Mi


Associate Professor, 
Electrical and Computer Engineering

Capacity planning; NVMe Flash Memory Devices, MapReduce/Hadoop scheduling; cloud computing; resource management; performance evaluation; workload characterization; simulation

Gunar Schirner


Associate Professor, 
Electrical and Computer Engineering

Embedded computer systems; novel architectures for embedded vision; cyber-physical systems; system-level design and methodologies; hardware/software co-design

Devesh Tiwari


Assistant Professor, 
Electrical and Computer Engineering

Large scale high performance computing systems; Data-intensive computing; cloud computing; machine learning and big data analytics

Yanzhi Wang


Assistant Professor, 
Electrical and Computer Engineering

Energy-efficient and high-performance implementations of deep learning and artificial intelligence systems; neuromorphic computing and non-von Neumann computing paradigms; cyber-security in deep learning systems; emerging deep learning algorithms/systems such as Bayesian neural networks, generative adversarial networks (GANs) and deep reinforcement learning

Edmund Yeh


Professor, 
Electrical and Computer Engineering

Networking and systems for big data applications, data-centric architectures and algorithms, caching, fog/edge computing, data-intensive science and engineering; coding for low latency, network coding, polar codes; interdependent networks, cascading failure, information dissemination; cross-layer wireless network optimization; network economics.