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Rama Chellappa

Computer Vision and Machine Learning

Department of Electrical and Computer Engineering, Whiting School of Engineering
Department of Biomedical Engineering, School of Medicine

Rama Chellappa is an expert in computer vision, pattern recognition, image and signal processing, machine learning, and biometrics who uses data, geometry, and physics to help computer systems interpret the visual world. Chellappa’s work has impacted smart cars, forensics, and 2D and 3D modeling of faces, humans, objects, and terrain, and has the potential to significantly improve diagnosis and treatment for patients spanning a wide range of diseases.

Chellappa’s research has shaped the field of facial recognition technology—developing detailed face models based on shape, appearance, texture, and bone and muscle structure. Under a recent program, Chellappa and his team developed a high-accuracy face recognition system that serves critical needs for federal and commercial sectors. The team has also worked on modeling facial expressions, with potential for a variety of medical applications. Some of Chellappa’s current projects focus on designing robust machine learning systems that can nimbly adapt to new environments and tasks, as well as on collaborating with mathematicians to build new models for deep learning, a subset of machine learning that maps data to decisions.

Chellappa will be joining Johns Hopkins University as a Bloomberg Distinguished Professor in 2020 from the University of Maryland.

[excellence_inner heading=”Measures of Excellence”][excellence_inner_childs el_title=”Jack S. Kilby Signal Processing Medal” el_desc=”Institute of Electrical and Electronics Engineers (IEEE), 2020″][excellence_inner_childs el_title=”K. S. Fu Prize” el_desc=”International Association of Pattern Recognition, 2012″][excellence_inner_childs el_title=”Society Award” el_desc=”IEEE Signal Processing Society, 2009″][excellence_inner_childs el_title=”Technical Achievement Award” el_desc=”IEEE Computer Society, 2008″][excellence_inner_childs el_title=”Inaugural Recipient” el_desc=”Leadership Award, IEEE Biometrics Council, 2016″][excellence_inner_childs el_title=”Fellow” el_desc=”Association for the Advancement of Artificial Intelligence”][/excellence_inner]
[interested][interested_item el_title=”Learn about another Bloomberg Distinguished Professor” el_url=”https://research.jhu.edu/members/odis-johnson/”][/interested]
  • Contact

    Email:
    HOUR@jhu.edu

    Virtual Office Hours:
    Monday – Friday, 3-4pm Eastern
    via Zoom

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