Statistical signal processing, computer vision, machine learning, multimedia
Professor Vasconcelos' research interests are at the intersection of three overarching areas of study: signal processing, computer vision, and pattern recognition. The main goal is to provide computers with the ability to understand sophisticated media types, such as images, video, audio, speech, or DNA sequences. Such understanding will enable the design of systems that can precisely search and organize large databases of such signals. Possible applications include non-text extensions to current web search engines, devices for personalized access to large video repositories (e.g. movie or newscast databases), retrieval systems that rely on user profiles to retrieve and summarize the content of interest, clinical systems that search databases of previous case studies as an aid to diagnosis, or gene sequencing and identification systems.
Nuno Vasconcelos received his Ph.D. in electrical and computer engineering from M.I.T. in 2000. He obtained a bachelor's degree in electrical and computer engineering from the Universidade do Porto, Portugal in 1988. Prior to coming to UCSD, Vasconcelos was a researcher at Compaq Computer Corporation Cambridge Research Laboratory. From 1991 to 2000, he was a research assistant at M.I.T.'s Media Labratory where he worked on such things as image compression, pattern recognition, and computer vision. And from 1988 to 1991, he was a researcher at the Instituto do Engenharia de Sistemas e Computadores in Portugal. [For lists of publications, click on Research Page.]