![Martin A. Brooke Profile Photo](https://scholars.duke.edu/profile-images/thumbnail500/0311279.jpg)
Research Interests
Analog, RF, and optoelectronic circuits. Sensor interface circuits. Deployable sensor systems
Analog, RF, and optoelectronic circuits. Sensor interface circuits. Deployable sensor systems
Charles S. Sydnor Distinguished Professor of Computer Science
Applied statistics and machine learning
Assistant Professor in the Department of Electrical and Computer Engineering
Wireless networking, next-generation wireless and optical networks, edge cloud and computing, Internet-of-Things (IoT), mobile and embedded systems, platforms and testbeds
John Cocke Distinguished Professor of Electrical and Computer Engineering
Emerging memory and storage technologies Embedded systems, CPS, edge computing, and mobile applications Neuromorphic computing, deep learning and system security Low power circuit and system
Physics-based machine learning algorithms for big data, including developing remediation strategies for the hearing impaired and sensor-based algorithms for the detection of hazardous buried objects
James B. Duke Distinguished Professor of Mathematics and Electrical and Computer Engineering
Primarily computational and compressive sensing and measurement in all modalities (with special emphasis in Electromagnetic/Optical from RF to x-ray and all forms of Mass spectrometry),…
Director of Undergraduate Studies, Associate Professor of the Practice of ECE
Computational methods for image analysis and information extraction, discrete event simulations, curriculum development and deployment
Associate Dean of Undergraduate Education, Edmund T. Pratt, Jr. School Professor of the Practice of ECE
Engineering education, pedagogy and curriculum development, applications of statistical signal processing
Physics-based and statistical signal processing, sensor array processing, radar and sonar systems, pervasive distributed processing
Chair of Electrical and Computer Engineering, Clare Boothe Luce Professor of ECE
Neuromorphic computing systems Machine learning acceleration and trustworthy AIEmerging memory technologies, circuit and architecture Low power circuits and systems
Randolph K. Repass and Sally-Christine Rodgers University Distinguished Professor of Conservation Technology in Environment and Engineering
Marine mammal behavioral and acoustic ecologyOcean noiseOffshore renewable energy
Director of Master's Studies, Professor in the Department of ECE
Design and analysis of autonomous cyber-physical systems (CPS), and in particular, embedded systems, AI, learning and controls, CPS security and high-assurance autonomy, with various application…
Jeffrey N. Vinik Associate Professor of Electrical and Computer Engineering
Information theory, communications, probabilistic graphical models, machine learning, and deep neural networks
Associate Professor in the Department of Electrical and Computer Engineering
Information theory, high-dimensional statistical inference, statistical signal processing, compressed sensing, machine learning
Professor in the Department of Electrical and Computer Engineering
Gilbert, Louis, and Edward Lehrman Distinguished Professor
James B. Duke Distinguished Professor 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…
Bell-Rhodes Associate 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.