Once every week while school is in session, EECS invites a distinguished researcher or practitioner in a computer science or electrical and computer engineering-related field to present their ideas and/or work. Talks are generally targeted to electrical engineering and computer science graduate students. This colloquium series is free and open to everyone.

Upcoming Colloquia

Data Fusion Using ICA and IVA: Solutions, Challenges, and Opportunities

Tuesday, September 28, 2021 - 1:00pm to 2:00pm
Weniger 149 or https://oregonstate.zoom.us/j/93084765508?pwd=T0xGeE9OSmsxTllCaFY2M3BMb0pkUT09

Speaker Information

Tülay Adali
Distinguished University Professor
Department of Computer Science and Electrical Engineering
University of Maryland Baltimore County


In many fields today, such as neuroscience, remote sensing, computational social science, and physical sciences, multiple sets of data are readily available. Matrix and tensor factorizations enable joint analysis, i.e., fusion of these multiple datasets such that they can fully interact and inform each other while also minimizing the assumptions placed on their inherent relationships. A key advantage of these methods is the direct interpretability of their results. This talk presents an overview of the main models that have been successfully used for fusion of multiple datasets using independent component analysis (ICA), and its generalization to multiple datasets, independent vector analysis (IVA) with examples in fusion of medical imaging data. A number of important challenges and future directions of research are addressed for solutions using not only ICA and IVA but also tensors and other matrix factorizations.

Speaker Bio

Tülay Adali received the Ph.D. degree in Electrical Engineering from North Carolina State University, Raleigh, NC, USA, in 1992 and joined the faculty at the University of Maryland Baltimore County (UMBC), Baltimore, MD, the same year. She is currently a Distinguished University Professor in the Department of Computer Science and Electrical Engineering at UMBC. She assisted in the organization of a number of international conferences and workshops including the IEEE International Conference on Acoustics, Speech, and  Signal Processing (ICASSP) as technical chair in 2017, special sessions chair in 2018, and for 2024, and the IEEE Machine Learning for Signal Processing (MLSP) and Neural Networks for Signal Processing Workshops as general and technical chair, 2001−2008. She has served or is currently serving on numerous boards and technical committees of the IEEE Signal Processing Society (SPS), and is currently the Vice President for Technical Directions of the IEEE SPS. Prof. Adali is a Fellow of the IEEE and the AIMBE, a Fulbright Scholar, and a Distinguished Lecturer. She is the recipient of a 2020-2021 Humboldt Research Award, 2010 IEEE SPS Best Paper Award, 2013 University System of Maryland Regents' Award for Research, and an NSF CAREER Award. Her current research interests are in the areas of statistical signal processing, machine learning, and their applications with emphasis on applications in medical image analysis and fusion.

AI Seminar: NSF National AI Research Institute on Adult Learning and Online Education

Wednesday, September 29, 2021 - 1:00pm to 2:00pm
Zoom: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5UT09

Speaker Information

Ashok Goel
Professor, Georgia Institute of Technology
Chief Scientist, Georgia Tech Center for 21st Century Universities


NSF has announced the establishment of a National AI Research Institute on Adult Learning and Online Education (ALOE). The ALOE Institute seeks to address the societal challenge of lifelong learning, workforce development, and reskilling and upskilling of millions of American workers each year. Online education offers an affordable medium for taking education to workers where they live; however, there remain serious questions about the quality of online education. ALOE will develop new AI technologies that enhance cognitive engagement, teacher presence and social interaction in online education, and thereby improve its quality for adult learners in STEM disciplines at least to the level of face-to-face learning. In addition to these use-inspired AI techniques, ALOE will conduct foundational AI research on personalization of learning at scale, interactive machine teaching to enable teachers and learners to develop their own cognitive assistants, mutual theory of mind to enable humans and AI assistants to better understand one another, and participatory design of sociotechnical systems for responsible AI. I will describe ALOE’s vision, goals and plans, using examples from my own research for illustration.

Speaker Bio

Ashok Goel is a Professor in the School of Interactive Computing at Georgia Institute of Technology and the Chief Scientist with Georgia Tech’s Center for 21st Century Universities. For over 35 years, he has conducted research into cognitive systems at the intersection of AI and cognitive science with a focus on computational design and creativity. Over the last decade much of his research has focused on AI in education and education in AI. Ashok is the Founding Editor of AAAI’s Interactive AI Magazine established in 2020 (InteractiveAIMag.org) and Editor Emeritus of AI Magazine. In 2019, he was a Co-Chair of the 41st Annual Conference of the Cognitive Science Society. He is a Fellow of AAAI and in 2019 he received AAAI’s Outstanding AI Educator Award.

AI Seminar: The Autonomous Weapons Systems Arms Race: Developments, Ethics and Advocacy

Wednesday, October 6, 2021 - 1:00pm to 2:00pm
Zoom: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5UT09

Speaker Information

Charlie Kawasaki, CISSP
PacStar (Curtiss-Wright Defense Solutions)


To achieve and maintain warfighting overmatch the US DoD, our coalition partners and adversaries are racing to develop new generations of autonomous weapons systems and AI/ML based decision support systems. DoD planners expect these new technologies and warfighting tactics to increase decision-making speed, increase coordination across all domains (air, ground, sea, cyber, space), reduce the number of humans on the front lines, and improve the performance of weapons systems.

Next generations of all major US ground combat vehicle programs are under design with unmanned or optionally manned variants. These will be controlled and directed by new US DoD networks such as being developed by the Joint All Domain Command and Control (JADC2) program, linking a global network of widespread sensors with commanders and warfighters, using AI/ML support in the cloud and in remote tactical settings. However, the US DoD is in its infancy in terms of technologies and development processes including validation and verification of these systems, calling into question the trustworthiness of these systems.

While the US DoD races forward with the development of AI-based solutions, it has put high level ethical frameworks in place to guide the development of these systems, though with substantial gaps largely unnoticed by the civilian population. In addition, significant work is underway at the U.N. and with numerous countries and humanitarian organizations to pursue bans on autonomous weapons outright or bans on certain aspects of autonomous weapons such as the automated targeting of humans.

This presentation will highlight select developments in US DoD autonomous weapons programs and networks and will provide a deep dive into US DoD AI ethics and developmental directives and their gaps. It will also cover current international advocacy efforts and comparisons is ethical frameworks and approaches.

Lastly, the presentation will outline several opportunities for researchers to engage in both technical and ethical advocacy efforts.

Speaker Bio

Charlie Kawasaki, CISSP (Charlie Kawasaki, CISSP | LinkedIn) has served as PacStar (Curtiss-Wright Defense Solutions) CTO since 2004. He leads multiple innovation initiatives including development of cutting-edge tactical computing and networking systems used in-theater, on ground, air, and naval platforms including unmanned and robotic systems.

Charlie has over 40 years’ experience in cybersecurity, machine learning/AI, systems integration, software engineering, and network engineering. Prior to joining PacStar, Charlie provided his expertise to early stage technology companies, where he created dozens of software and networking-based products. Charlie served as CEO of RuleSpace, Inc., which created ML-based technology for Internet parental controls used by companies such as AOL, Yahoo, SBC, BellSouth, and Microsoft.

Charlie currently serves on the board of the Technology Association of Oregon, the OSU EECS Industry Advisory Board Executive Committee, the OSU ORTSOC advisory board and Mount Hood Community College Cybersecurity Advisory Board.  He also serves on boards and consults with multiple startup companies. He is a venture partner for Oregon Venture Fund.

Past Colloquia

Jiajun Wu
Wednesday, June 2, 2021 - 1:00pm to 2:00pm
J. Andrew (Drew) Bagnell
Wednesday, April 28, 2021 - 1:00pm to 2:00pm
Prof Melanie Mitchell
Wednesday, October 21, 2020 - 6:00am to 7:00am
Zico Kolter
Wednesday, October 14, 2020 - 6:00am to 7:00am
Mark Guzdial
Monday, May 11, 2020 - 4:00pm to 4:50pm
Alfred O. Hero III
Monday, April 27, 2020 - 4:00pm to 4:50pm
Yuejie Chi
Monday, April 13, 2020 - 4:00pm to 4:50pm
Shay Deutsch
Monday, February 24, 2020 - 4:00pm to 4:50pm