Manuela Veloso

Manuela Veloso
Name	Manuela Veloso
Birth date	1957
Birth place	Porto, Portugal
Nationality	Portuguese–American
Fields	Computer science, Artificial intelligence, Robotics, Machine learning, Multiagent systems
Alma mater	Instituto Superior Técnico, Carnegie Mellon University
Doctoral advisor	Herbert A. Simon
Known for	Autonomous robots, Multiagent learning, Probabilistic reasoning

Manuela Veloso Manuela Veloso is a Portuguese–American computer scientist known for pioneering work in artificial intelligence, machine learning, and autonomous robotics. She has held leadership roles at major institutions and corporations, contributed influential research on multiagent systems and probabilistic models, and guided generations of researchers through teaching and mentorship. Her career spans academic appointments, industry positions, and public-facing initiatives linking AI research to robotics deployment.

Early life and education

Veloso was born in Porto, Portugal, and completed undergraduate studies at Instituto Superior Técnico before emigrating to the United States to pursue graduate studies at Carnegie Mellon University. At Carnegie Mellon she studied under Nobel laureate Herbert A. Simon and worked alongside faculty such as Raj Reddy, Tom M. Mitchell, and collaborators including Allen Newell and Judea Pearl. Her doctoral work integrated ideas from probabilistic reasoning, decision theory, and model-based planning, drawing on influences from researchers at Massachusetts Institute of Technology, Stanford University, and University of California, Berkeley laboratories in the era of symbolic and statistical AI.

Academic career and positions

Veloso served on the faculty at Carnegie Mellon University in the School of Computer Science where she founded research groups that interacted with centers such as the Robot Learning Lab, the Machine Learning Department, and the Computer Science Department. She held leadership as head of the Machine Learning Department and collaborated with faculty from University of Pennsylvania, MIT Computer Science and Artificial Intelligence Laboratory, and Stanford Artificial Intelligence Laboratory. Later she became head of the Machine Learning Department and then took on corporate leadership at JPMorgan Chase as Chief AI Officer, while maintaining affiliations with institutions such as Columbia University, Princeton University, and research laboratories like Bell Labs, IBM Research, and Microsoft Research.

Research contributions and robotics work

Veloso's research advanced autonomous agents through work on multiagent planning, probabilistic models, and integrated perception-action systems. Her group developed techniques linking Markov decision processes and partially observable Markov decision processes to practical robot control, building on foundations from Richard Bellman and Leslie Kaelbling. She led projects in robot soccer with teams that competed in RoboCup tournaments, interacting with organizations such as FIFA-affiliated competitions and collaborating with teams from University of New South Wales, University of Cambridge, and Kyoto University. Research outputs connected to algorithms from Bayesian networks, reinforcement learning, and hidden Markov models, and incorporated approaches from scholars like Pieter Abbeel, Andrew Ng, Daphne Koller, and Yoshua Bengio.

Her lab demonstrated integrated systems for autonomous navigation, real-time decision making, and human-robot interaction, referencing work from Rodney Brooks, Cynthia Breazeal, Hod Lipson, and Sebastian Thrun. Veloso's publications influenced developments in multiagent coordination used in projects with DARPA, NASA, and industrial partners such as Siemens and ABB. She supervised research that produced methods for adversarial reasoning, opponent modeling, and cooperative planning, linking to fields where scholars like Michael Littman and Nick Jennings contributed. Veloso's students and collaborators published in venues including NeurIPS, ICML, AAAI, IJCAI, and ICRA.

Teaching and mentorship

As a professor at Carnegie Mellon University, Veloso taught courses spanning autonomous agents, machine learning, and robotics, drawing on pedagogical traditions from educators at MIT, Stanford University, and University of Oxford. She mentored doctoral students who pursued careers at institutions such as Cornell University, Harvard University, University of Washington, and companies including Google, Facebook, Amazon, and OpenAI. Veloso's advising emphasized experimental rigor, interdisciplinary collaboration with groups like School of Computer Science labs, and exposure to industry through internships at Intel Labs, Google DeepMind, and IBM Watson.

Awards and honors

Veloso has been recognized by numerous organizations: election as a fellow of the Association for the Advancement of Artificial Intelligence, the Association for Computing Machinery, and the Institute of Electrical and Electronics Engineers. She received prizes and lectureships such as the IJCAI Distinguished Service Award, honors from RoboCup, and recognition from national bodies including National Science Foundation grants and awards from the Portugal Presidency. Professional societies like the AAAI and the SIGAI have honored her research and leadership, and she has been invited to give keynote talks at conferences including ICML, NeurIPS, IJCAI, and AAAI.

Public engagement and entrepreneurship

Beyond academia, Veloso engaged in public outreach through demonstrations at venues like the World Economic Forum, the Smithsonian Institution, and industry conferences hosted by CES and SXSW. She participated in advisory capacities for governmental panels including United States Department of Defense research initiatives and contributed to consortiums with ARPA-E and DARPA. In industry, Veloso took on roles at JPMorgan Chase and advised startups in robotics and AI, collaborating with incubators such as Y Combinator and venture capital firms linked to Sequoia Capital and Andreessen Horowitz. Her work influenced policy discussions with organizations like IEEE Standards Association and she engaged with media outlets including The New York Times, The Wall Street Journal, and Nature to communicate AI advances.

Category:Portuguese computer scientists Category:American computer scientists Category:Women in robotics