CS Affiliates

Part-Time, Visiting & Adjunct Affiliates

Ayo Akinyele, Adjunct Associate Research Engineer

Amihood Amir, Research Professor; Pattern matching, knowledge discovery algorithms, real time systems algorithms, computational molecular biology.

Mitra Basu, Visiting Professor; Computational biology, pattern recognition, neural networks, artificial intelligence.

Philippe Burlina, Associate Research Professor; Machine vision, medical image analysis, machine learning, enterprise software systems, content and e-process management, SDLC, software engineering. APL

Chris Callison-Burch, Associate Research Professor; Statistical machine translation, data-driven paraphrasing, crowdsourcing, and evaluation metrics

Gabor Fichtinger, Adjunct Professor; Applied surgical robotics, surgical CAD/CAM systems, percutaneous therapies, stereotactic radiosurgery

Harold Lehmann, Lecturer – Medical informatics

Yansheng Li, Visiting Assistant Professor

James Mayfield, Associate Research Professor; Information retrieval, cross-language retrieval, information extraction, natural language processing. APL, HLTCOE

Bilge Mutlu, Visiting Associate Professor

Seth Nielson, Adjunct Associate Research Scientist;  Network security

Christine Piatko, Assistant Research Professor; Computational geometry, information visualization, information retrieval APL, HLTCOE

Matt Post, Assistant Research Scientist; Machine translation, syntax, parsing, and language modeling HLTCOE, CLSP

Will Gray Roncal, Assistant Research Professor; APL

Ralph Semmel, Professor (Nontenured), Director, APL

Wei Shen, Visiting Assistant Professor

John W. Sheppard, Adjunct Professor; Artificial intelligence, machine learning, data mining

Andreas Terzis, Associate Research Professor; Computer networks, low-Power Sensor Networks

Lanier Watkins, Adjunct Associate Research Scientist

I-Jeng Wang, Assistant Research Professor; Wireless networking, Bayesian networks, probabilistic models APL


Secondary & Joint Faculty

Alexis Battle, Assistant Professor; Biomedical Engineering, P.hD., Computer Science, Stanford University, 2013. Genetics of complex traits, use of machine learning and probabilistic models to untangle the effects of genetic variation on clinically relevant phenotypes, graphical models, transfer learning, structured regularization methods.

Muyinatu Bell, Assistant Professor; Electrical and Computer Engineering, Ph.D., Duke University, 2012. Ultrasound imaging, photoacoustic imaging, image quality improvements, advanced beamforming methods, light delivery systems, medical robotics, image-guided surgery, technology development, medical device design, and clinical translation.

Emad M. Boctor, Assistant Professor; Ph.D. Johns Hopkins Univeristy, 2006. Image-guided Intervention, ultrasound imaging, elasticity and thermal imaging. CISST

Tamas Budavari, Assistant Professor; Ph.D. Eötvös Lóránd University, 2001. Computational statistics. Bayesian inference, low-dimensional embeddings, streaming and randomized algorithms

Greg Chirikjian, Professor; Mechanical Engineering; Ph.D., Caltech, 1992. Robotics, kinematics, dynamics, control, motion planning.

Noah J. Cowan, Associate Professor; Mechanical Engineering; Ph.D., University of Michigan, 2001. Sensor-based control of locomotion and manipulation, machine learning, and biologically inspired robotics.

Ralph Etienne-Cummings, Professor; Electrical and Computer Engineering; Ph.D., University of Pennsylvania, 1990. VLSI circuits, systems and algorithms for biologically inspired and low-power, parallel mixed-signal processing, biomorphic robotics and neural prosthetics.

James Fill, Professor; Applied Mathematics and Statistics; Ph.D. Statistics, University of Chicago, 1980. Probability, stochastic processes, random structures and algorithms.

Liliana Florea, Associate Professor; McKusick-Nathans Institute for Genetic Medicine; Ph.D. Penn State University, 2000. Application of computational techniques towards modeling and solving problems in biology and genetic medicine.

Rachel Karchin, Associate Professor; Biomedical Engineering, Ph.D., Computer Science UC Santa Cruz, 2003. Computational molecular biology, bioinformatics, genetic variation.

Sanjeev Khudanpur, Associate Professor; Electrical and Computer Engineering; Ph.D., Maryland, 1997. Information theory, statistical language modeling for speech recognition and machine translation.

Marin Kobilarov, Assistant Professor; Mechanical Engineering; PhD. University of Southern California, 2008. Autonomy and intelligence of robotic systems, stochastic optimal control and statistical learning.

Enrique Mallada, Assistant Professor; Electrical and Computer Engineering; PhD. Cornell University, 2014. Network dynamics, and distributed systems.

Michael I. Miller, Professor; Biomedical Engineering; Ph.D., Johns Hopkins University, 1984. Image understanding, computer vision, medical imaging, computational anatomy.

Mihaela Pertea, Associate Professor; McKusick-Nathans Institute of Genetic Medicine and Department of Medicine; Ph.D., Johns Hopkins University, 2001. Development of computational tools for RNA-seq analysis, gene finding, splice site prediction, and sequence motif finding.

Carey Priebe, Professor; Applied Mathematics and Statistics; Ph.D., George Mason, 1993. Computational statistics, kernel and mixture estimates, statistical pattern recognition, and statistical image analysis.

Jerry L. Prince, William B. Kouwenhoven Professor; Electrical and Computer Engineering and Associate Director for Research, CISST ERC. Ph.D., MIT, 1988. Image processing, computer vision, medical imaging.

Rebecca Schulman, Assistant Professor; Chemical and Biomolecular Engineering; PhD., University of California at Berkeley, 2011.

Jeffrey Siewerdsen, Professor; Biomedical Engineering; Ph.D., University of Michigan, 1998. Imaging physics, diagnostic radiology, image-guided interventions.

James Taylor, Ralph S. O’Connor Associate Professor; Biology; Ph.D., The Pennsylvania State University, 2006; Genome informatics.

Archana Venkataraman, John C. Malone Assistant Professor; Electrical and Computer engineering; Ph.D., MIT 2012. Functional neuroimaging (fMRI, EEG), machine learning and probabilistic inference, network modeling of the brain and integration of imaging, genetics and behaviorial data.

Rene Vidal, Associate Professor; Biomedical Engineering; Ph.D., UC Berkeley, 2003. Computer vision, machine learning, robotics, and control.

Joshua Vogelstein, Assistant Professor; Biomedical engineering; Ph.D., Johns Hopkins University, 2009.

Louis Whitcomb, Professor; Mechanical Engineering; Ph.D., Yale, 1992. Dynamics and control of mechanical systems.

Raimond L. Winslow, Professor; Biomedical Engineering and Director, The Institute for Computational Medicine; Ph.D., Johns Hopkins, 1985. Modeling of biological systems, nonlinear systems theory, grid computing and data management, biomedical ontologies.

Tom Woolf, Professor; Physiology; Ph.D. Yale, 1990.

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