Rama Chellappa
· Bloomberg Distinguished ProfessorJohns Hopkins University · Radiology and Radiological Science
Active 1980–2026
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About
Professor Rama Chellappa is a Bloomberg Distinguished Professor with joint appointments in the Departments of Electrical and Computer Engineering and the Biomedical Engineering (School of Medicine) at Johns Hopkins University (JHU). He joined JHU in August 2020 after serving as a Distinguished University Professor and Minta Martin Professor of Engineering at the University of Maryland (UMD), College Park. Professor Chellappa received his B.E. (Hons.) degree in Electronics and Communication Engineering from the University of Madras, India in 1975, his M.E. (with Distinction) from the Indian Institute of Science, Bangalore, India in 1977, and his M.S.E.E. and Ph.D. degrees in Electrical Engineering from Purdue University in 1978 and 1981, respectively. From 1981 to 1991, he was a faculty member in the Department of Electrical Engineering-Systems at the University of Southern California (USC). Between 1991 and 2020, he was a Professor of Electrical and Computer Engineering and an affiliate Professor of Computer Science at UMD, where he was also affiliated with the Center for Automation Research, the Institute for Advanced Computer Studies, and the Applied Mathematics and Scientific Computing Program. Professor Chellappa's current research interests encompass computer vision, machine learning, and artificial intelligence with applications in face recognition, 3D modeling from video, image and video-based recognition of objects, events and activities, medical imaging, domain…
Research topics
- Artificial Intelligence
- Computer Science
- Statistics
- Mathematics
Selected publications
Detecting Human-Object Interactions via Functional Generalization
2020-04-03 · 119 citations
articleOpen accessSenior authorWe present an approach for detecting human-object interactions (HOIs) in images, based on the idea that humans interact with functionally similar objects in a similar manner. The proposed model is simple and efficiently uses the data, visual features of the human, relative spatial orientation of the human and the object, and the knowledge that functionally similar objects take part in similar interactions with humans. We provide extensive experimental validation for our approach and demonstrate…
Aging With Artificial Intelligence: How Technology Enhances Older Adults’ Health and Independence
The Journals of Gerontology Series A · 2025-06-10 · 7 citations
reviewBACKGROUND: As the global population ages healthcare challenges are escalating. Frailty, a clinical syndrome characterized by decreased reserve and resilience to stressors, is critically linked to adverse health outcomes in older adults. However, artificial intelligence (AI)-driven technologies offer promising solutions for revolutionizing older individuals care and enhancing senior health and independence. OBJECTIVE: This paper explores how AI-driven technologies, including wearables, nonwearab…
FaceXFormer: A Unified Transformer for Facial Analysis
2025-10-19 · 4 citations
preprintOpen accessIn this work, we introduce FaceXFormer, an end-to-end unified transformer model capable of performing ten facial analysis tasks within a single framework. These tasks include face parsing, landmark detection, head pose estimation, attribute prediction, age, gender, and race estimation, facial expression recognition, face recognition, and face visibility. Traditional face analysis approaches rely on task-specific architectures and pre-processing techniques, limiting scalability and integration. I…
International Journal of Computer Vision · 2025-06-14 · 4 citations
articleIEEE Journal of Selected Topics in Signal Processing · 2025-11-03 · 1 citations
articleWe introduce FusionRF, a novel framework for digital surface reconstruction from satellite multispectral and panchromatic images. Current work has demonstrated the increased accuracy of neural photogrammetry for surface reconstruction from optical satellite images compared to algorithmic methods. Common satellites produce both a panchromatic and multispectral image, which contain high spatial and spectral information respectively. Current neural reconstruction methods require multispectral image…
Recent grants
Clinical Translation and Validation Core
NIH · $42.8M · 2021–2027
ITR: New technology for the Capture, Analysis and Visualization of Human Movement
NSF · $2.6M · 2003–2009
Frequent coauthors
- 1688 shared
Anil K. Jain
- 1682 shared
Joydeep Ghosh
- 1682 shared
Josef Kittler
- 1682 shared
Takeo Kanade
- 1681 shared
Gennady Osipov
- 1681 shared
Witold Russia
Conference Board
- 1681 shared
Madhu Sudan
Harvard University Press
- 1681 shared
Publicity Co-Chairs
Asia University
Labs
AIEM LabPI
Education
- 1981
PhD/1981, Electrical and Computer Engineering
Purdue University
- 1978
MSEE, Electrical and Computer Engineering
Purdue University
- 1977
Master of Engineering (Distinction), Electrical Communication Engineering
Indian Institute of Science
- 1975
Bachelor of Engineering (Hons.), Electronics and Communication Engineering
Anna University Chennai College of Engineering Guindy
Awards & honors
- 2020 Jack S. Kilby Signal Processing Medal
- IEEE Life Fellow
- Society Award from IEEE Signal Processing Society
- IEEE Computer Society Technical Achievement Award
- 2025 Azriel Rosenfeld Lifetime Achievement Award
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