Chinese Academy of Sciences names CMU's Veloso an Einstein Chair Professor

December 19, 2011

PITTSBURGH -- The Chinese Academy of Sciences has named Manuela Veloso, the Herbert A. Simon Professor of Computer Science at Carnegie Mellon University, as an Einstein Chair Professor for 2012. She is one of 20 prominent international scientists so honored.

As an Einstein Chair Professor, Veloso will present a lecture at the University of Science and Technology of China, a national research university in Hefei, China, and at another Chinese university.

The Einstein Professorship Program is a key initiative of the Chinese Academy of Sciences. Its goals are to strengthen exchanges between the Einstein chairs and Chinese scientists and to enhance the training of future generations of Chinese scientists.

Veloso, who this summer will become president of the Association for the Advancement of Artificial Intelligence (AAAI), is the only AI and robotics researcher among this year's Einstein Chair Professors. Her lectures will focus on symbiotic autonomy, a concept she is pioneering in which robots are aware of their perceptual, physical, and reasoning limitations and proactively ask for help from humans.

Symbiotic autonomy is employed by several robots, called CoBots, that her research group has deployed on the Carnegie Mellon campus. The CoBots can navigate on their own through hallways while delivering or fetching messages and packages, but must ask people for help when confused or for performing manipulation tasks such as opening doors or pushing elevator buttons.

Veloso is well known for her work on robot soccer, which is an important research tool for studying how autonomous agents can work cooperatively in complex, uncertain environments. She is past president of the International RoboCup Federation, which sponsors annual world championships in robot soccer.

Other 2012 recipients of Einstein Chair Professorships include Johann Deisenhofer, a Nobel laureate in chemistry at the University of Texas Southwestern Medical Center; Wing Hung Wong, a computational chemist at Stanford University; Toshihide Masukawa, a Nobel laureate in physics at Kyoto University in Japan; Rick Battarbee, a freshwater ecologist at University College London, and Rob Van der Voo, a geophysicist at the University of Michigan.

Veloso is a Fellow of the IEEE, AAAI and the American Association for the Advancement of Science (AAAS). She is a recipient of the Autonomous Agents Research Award from the Association for Computing Machinery's Special Interest Group on Artificial Intelligence, as well as a National Science Foundation Career Award and the university's Allen Newell Medal for Excellence in Research. She received her doctor's degree in computer science from Carnegie Mellon in 1992.
About Carnegie Mellon University: Carnegie Mellon ( is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 11,000 students in the university's seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon's main campus in the United States is in Pittsburgh, Pa. It has campuses in California's Silicon Valley and Qatar, and programs in Asia, Australia, Europe and Mexico. The university is in the midst of a $1 billion fundraising campaign, titled "Inspire Innovation: The Campaign for Carnegie Mellon University," which aims to build its endowment, support faculty, students and innovative research, and enhance the physical campus with equipment and facility improvements.

Carnegie Mellon University

Related Artificial Intelligence Articles from Brightsurf:

Physics can assist with key challenges in artificial intelligence
Two challenges in the field of artificial intelligence have been solved by adopting a physical concept introduced a century ago to describe the formation of a magnet during a process of iron bulk cooling.

A survey on artificial intelligence in chest imaging of COVID-19
Announcing a new article publication for BIO Integration journal. In this review article the authors consider the application of artificial intelligence imaging analysis methods for COVID-19 clinical diagnosis.

Using artificial intelligence can improve pregnant women's health
Disorders such as congenital heart birth defects or macrosomia, gestational diabetes and preterm birth can be detected earlier when artificial intelligence is used.

Artificial intelligence (AI)-aided disease prediction
Artificial Intelligence (AI)-aided Disease Prediction Announcing a new article publication for BIO Integration journal.

Artificial intelligence dives into thousands of WW2 photographs
In a new international cross disciplinary study, researchers from Aarhus University, Denmark and Tampere University, Finland have used artificial intelligence to analyse large amounts of historical photos from WW2.

Applying artificial intelligence to science education
A new review published in the Journal of Research in Science Teaching highlights the potential of machine learning--a subset of artificial intelligence--in science education.

New roles for clinicians in the age of artificial intelligence
New Roles for Clinicians in the Age of Artificial Intelligence Announcing a new article publication for BIO Integration journal.

Artificial intelligence aids gene activation discovery
Scientists have long known that human genes are activated through instructions delivered by the precise order of our DNA.

Artificial intelligence recognizes deteriorating photoreceptors
A software based on artificial intelligence (AI), which was developed by researchers at the Eye Clinic of the University Hospital Bonn, Stanford University and University of Utah, enables the precise assessment of the progression of geographic atrophy (GA), a disease of the light sensitive retina caused by age-related macular degeneration (AMD).

Classifying galaxies with artificial intelligence
Astronomers have applied artificial intelligence (AI) to ultra-wide field-of-view images of the distant Universe captured by the Subaru Telescope, and have achieved a very high accuracy for finding and classifying spiral galaxies in those images.

Read More: Artificial Intelligence News and Artificial Intelligence Current Events is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to