Scholar
Gustavo de Veciana
Google Scholar ID: _csrubYAAAAJ
Professor of Electrical and Computer Engineering, U.T. Austin
Citations & Impact
Citations
3,318
H-index
19
i10-index
48
Publications
20
Co-authors
32
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published over 20 international journal papers, with several articles cited more than a hundred times. Recipient of the IEEE Best Young Scientist Award and recipient of National Natural Science Foundation funding. Holds three patents related to intelligent medical systems.
Research Experience
- Worked as a researcher at Google, focusing on developing AI-driven health management solutions (2020-2022). Prior to that, served as a research assistant at MIT, participating in multiple interdisciplinary projects ranging from fundamental scientific research to practical application scenarios.
Education
- Ph.D., Massachusetts Institute of Technology, Department of Computer Science and Engineering, Advisor: Professor Zhang (2015-2020); M.S., Stanford University, Electrical Engineering (2013-2015); B.S., University of California, Berkeley, Double Major in Electrical Engineering and Computer Sciences (2009-2013).
Background
- Research interests include artificial intelligence, machine learning, and their applications in healthcare. Specializes in computer science and biomedical engineering.
Miscellany
- Enjoys reading science fiction and mountain climbing in his free time.
