Associate Professor in the Department of Electrical and Computer Engineering
Information theory, high-dimensional statistical inference, statistical signal processing, compressed sensing, machine learning
Prof. Reiter's research interests include all areas of computer and communications security, fault-tolerant distributed computing, and applied cryptography.
Professor in the Department of Electrical and Computer Engineering
Energy-efficient electronicsTwo-dimensional materialsNeuromorphic ComputingOptoelectronicsWide bandgap materialsHigh power electronicsRadiation effects and reliability
Gilbert, Louis, and Edward Lehrman Distinguished Professor
James B. Duke Distinguished Professor Emeritus of Electrical and Computer Engineering
Image and video processing, computer vision, computer graphics, computational vision, biomedical imaging, brain imaging, cryo-tomography of viruses, computational tools in cryo-tomography, computational tools in early…
James B. Duke Distinguished Professor of Electrical and Computer Engineering
Theory, simulation and demonstration of novel electromagnetic metamaterials across the spectrum, from microwave through optical. Applications of metamaterials for antennas and imaging devices, with a…
Computer architecture, designing microarchitectures so that they are easier to verify, improving computer system fault tolerance, developing memory systems for multicore processors, and designing special-purpose…
Associate Dean for Community-Based Innovation, Professor of ECE
Thin-film deposition, MAPLE, hybrid perovskites, hybrid nanocomposites, organic thin films
Bell-Rhodes Professor of the Practice of Electrical and Computer Engineering
Physics-based statistical signal processing • Context-aware machine learning • Domain-informed data scienceExplainable/interpretable machine learning • Privacy-aware machine learning • Bias in machine learningNeuroscience-informed teaching •…
Rhodes Family Distinguished Professor of Electrical and Computer Engineering
Foundations of AI, Foundations of Signal Processing, Learning Representations, Transfer Learning, Meta-Learning, Physics Infused Learning, Extreme Value Theory, Dependence Modeling, Hypothesis Testing, Sequential Analysis.
Assistant Professor of Electrical and Computer Engineering
Low-dimensional materialsNanofabrication and nanodevicesSemiconductors, ceramics, metals
I enjoy solving difficult problems surrounding computations with the goal to process large volumes of data efficiently. My research interests include computer architecture and microarchitecture, hardware-software co-designs,…
Associate Director of Undergraduate Studies, Associate Professor of the Practice in the Department of ECE
Wearable computing, artificial intelligence/machine learning, engineering education, and Middle Eastern politics
