Ramalingam Chellappa

Ramalingam "Rama" Chellappa is a Bloomberg Distinguished Professor, who works at Johns Hopkins University.^[1][2] At Johns Hopkins University, he is a member of the Center for Language and Speech Processing, the Center for Imaging Science, the Institute for Assured Autonomy, and the Mathematical Institute for Data Sciences. He joined Johns Hopkins University after 29 years at The University of Maryland.^[3] Before that, he was an assistant, associate professor, and later, director, of the University of Southern California's Signal and Image Processing institute.^[4]

Ramalingam "Rama" Chellappa
Occupation	Professor
Academic background
Alma mater	Purdue University
Thesis	Stochastic models in image analysis and processing (1981)
Doctoral advisor	Rangasami L. Kashyap

Ramalingam was born near Chennai, in Southern India.^[3]

Education

Ramalingam received his PhD of Electrical Engineering at Purdue University,^[5][6] as well as his MSEE.^[2] He has a Master of Engineering (Distinction) of Electrical and Communication Engineering from The Indian Institute of Science (1977), and a Bachelor of Engineering (Honors) of Electrical and Communication Engineering from The University of Madras (1975).^[2][7][8]

Work at The University of Southern California

During Ramalingam's time at the University of Southern California, he was worked at the Signal and Image Processing institute, as an assistant from 1981 to 1986, associate professor during 1986 to 1991, and director during 1988 to 1990.^[4]

Work at The University of Maryland

During his time at The University of Maryland, Ramalingam Chellappa was a professor of The Department of Electrical and Computer Engineering and a Permanent Member of UMIACS, as well as an affiliate professor at The Department of Computer Science.^[9]

Work at Johns Hopkins University

Ramalingam currently works at Johns Hopkins University, and is researching artificial intelligence, facial recognition, machine learning, motion capture, and computer imaging.^[3]

He is a Life Fellow of IEEE, and a Fellow of AAAI, AAAS, ACM, AIMBE, IAPR, NAI and Optica and served as the President of the IEEE Biometrics Council, a distinguished lecturer of the IEEE Signal Processing Society, and holds 9 patents.^[10]

Awards

• Edwin H. Land Medal (2024 Recipient)^[11]
• IEEE Computer Society PAMI Distinguished Researcher Award (2023 Recipient)
• Washington Academy of Sciences (2023 Distinguished Career Award Recipinet)
• National Academy of Engineering (2023 Member)
• IEEE Jack S. Kilby Signal Processing Medal (2020 Recipient)^[12][3]
• IEEE Signal Processing Society Award^[3]
• IEEE Signal Processing Society (Technical Achievement and Meritorious Service Awards)
• NSF Presidential Young Investigator Award^[4]
• IBM Faculty Development Award (4 in total)^[4]
• International Association for Pattern Recognition King-Sun Fu Prize Award, Best Paper Awards (2 in total)^[4]
• IEEE Computer Society Technical Achievement and Meritorious Service Awards^[4]
• Office of Technology Commercialization Outstanding Innovator Award^[4]

Publications

Chellappa has published more than 750 peer-reviewed articles in top journals. He has an h-index of 143.

• Pubmed citations
• Google Scholar citations

Books

• Can We Trust AI?, Johns Hopkins University Press 2022

Highly Cited Articles

• 2003, W Zhao, R Chellappa, PJ Phillips, A Rosenfeld, Face Recognition: A Literature Survey, in ACM Computing Surveys (CSUR). Vol. 35 nº4, 399-458.
• 1995, R Chellappa, CL Wilson, S Sirohey, Human and Machine Recognition of Faces: A Survey, in Proceedings of the IEEE. Vol. 83, nº5, 705-741.
• 2008, P Turaga, R Chellappa, VS Subrahmanian, O Udrea, Machine Recognition of Human Activities: A Survey, in IEEE Transactions on Circuits and Systems for Video Technology. Vol. 18 nº11, 1473-1488.
• 1997, K Etemad, R Chellappa, Discriminant Analysis for Recognition of Human Face Images, in Journal of the Optical Society of America. Vol. 14 nº8, 1724-1733.