Tanveer F Syeda-mahmood  Tanveer F Syeda-mahmood photo         

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Academy of Technology LogoIBM Fellow, Chief Scientist, Medical Sieve Radiology Grand Challenge
Almaden Research Center, San Jose, CA, USA


Professional Associations

Professional Associations:  ACM  |  American Medical Informatics Association  |  IEEE  |  IEEE Member  |  The Medical Image Computing and Computer Assisted Intervention Society (MICCAI)  |  Women in Technology (WIT)

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Dr. Tanveer Syeda-Mahmood is an IBM Fellow and Global Imaging AI Leader in IBM Research.  Previously, she was the Chief Scientist/overall lead for the Medical Sieve Radiology Grand Challenge project in IBM Research, Almaden. This was  a large exploratory research project with global participation from many IBM Research Labs around the world including Almaden Labs in San Jose, CA, Haifa Research Labs in Israel and Melbourne Research Lab in Australia. The goal of this project was to develop automated radiology and cardiology assistants of the future that help clinicians in their decision making. The project has led to the introduction of AI in radiology through successful partnerships such as with RSNA (Radiological Society of North America) with the Eyes of Watson Exhibit (https://medcitynews.com/2016/12/ibm-watson-image-interpretation/) and the launch of the Watson Health Imaging business from the acquisition of Merge Healthcare. The first AI in radiology products from IBM Watson Health called Patient Synopsis (https://www.ibm.com/products/watson-imaging-patient-synopsis) and Clinical Review (https://www.ibm.com/products/watson-imaging-clinical-review) as well as the underlying platform are based on the technology piloted in the Medical Sieve and its feeder projects. The work from her team has produced over 10 best paper awards at major healthcare forums such as MICCAI, AMIA, including the latest Homer Warner Award for outstanding contribution to the field of Biomedical Informatics at AMIA'2020.

Dr. Syeda-Mahmood has recently launched another exciting exploratory project in the intersection area of AI, Neuroscience and Cloud technologies that has both healthcare applications for the memory-impaired individuals but also key to generating a new technological infrastructure for next generation storage systems modeled after human memory.

Dr. Syeda-Mahmood graduated from the MIT AI Lab in 1993 with a Ph.D in Computer Science. Prior to IBM, she worked as a Research Staff Member at Xerox Webster Research Center, Webster, NY. She joined IBM Almaden Research Center in 1998.

Prior to coming to IBM, Dr. Syeda-Mahmood led the image indexing program at Xerox Research and was one of the early originators of the field of content-based image and video retrieval. Currently, she is working on applications of content-based retrieval in healthcare and medical imaging. Over the past 30 years, her research interests have been in a variety of areas relating to artificial intelligence including computer vision, image and video databases, medical image analysis, bioinformatics, signal processing, document analysis, and distributed computing frameworks. She has over 250 refereed publications and over 120 patents filed.

Dr. Syeda-Mahmood is the General co-Chair of MICCAI 2023, the premier conference in medical imaging. She is also the Program co-Chair of IEEE ISBI 2022 to be held in Calcutta, India. She was the General Chair of the First IEEE International Conference on Healthcare Informatics, Imaging,and Systems Biology, San Jose, CA 2011. She was also the program co-chair of CVPR 2008.

Dr. Syeda-Mahmood was selected as a MICCAI Fellow in 2022 for her for outstanding contributions to artificial intelligence in medical image analysis and bioinformatics. She has been a Fellow of IEEE since 2014.  She is also the first IBMer to become an AIMBE Fellow in 2020. She is also a member of IBM Academy of Technology. Dr. Syeda-Mahmood was declared Master Inventor in 2011, 2019, and 2022. She is the recipient of key awards including IBM Corporate Award 2015, Best of IBM Award 2015, 2016 and several outstanding innovation awards.


Other links: Medical Sieve