Tanveer Syeda-Mahmood
Tanveer Fathima Syeda-Mahmood | |
|---|---|
| Born | India |
| Education | Osmania University (B.E. Electronics and Communication), IIT Madras (M.S. Computer Science), Massachusetts Institute of Technology (Ph.D. 1993) |
| Occupation | Computer scientist |
| Employer | IBM Research Almaden Laboratory |
| Known for | Image retrieval, multimedia database systems, medical image analysis |
| Awards | IEEE Fellow (2011), IBM Fellow (2016), American Institute for Medical and Biological Engineering Fellow (2020) |
Tanveer Fathima Syeda-Mahmood is a computer scientist of Indian-American descent with expertise in image retrieval, multimedia database systems, and medical image analysis. She holds the position of chief scientist at the IBM Research Almaden Laboratory located in San Jose, California, where she leads teams developing cognitive assistant technologies for radiologists and cardiologists, as well as creating assistive solutions for memory-related impairments and exploring biologically inspired data storage methods.
Education and career
Before beginning formal education in India, Syeda-Mahmood was educated at home and advanced by skipping two grades in primary school. She earned her bachelor's degree in electronics and communication from Osmania University, followed by a master's degree in computer science from IIT Madras. Supported by an IBM graduate fellowship, she completed her doctoral studies at the Massachusetts Institute of Technology in 1993 under the supervision of Eric Grimson. Among her early projects was a prototype robotic vacuum cleaner developed in 1988. Afterward, she contributed to content-based image retrieval research at Xerox's Webster Research Center prior to joining IBM in 1998.
Recognition
In 2011, Syeda-Mahmood was honored as an IEEE Fellow for her significant work in content-based indexing and retrieval of images and videos. She achieved the distinction of becoming an IBM Fellow in 2016 and is also a member of the IBM Academy of Technology. Her leadership in multimodal imaging decision support systems that advance healthcare AI led to her induction into the American Institute for Medical and Biological Engineering College of Fellows in 2020.