Session description to come.
Richard G. Baraniuk
Victor E. Cameron Professor
Dr. Baraniuk received a B.Sc. from the University of Manitoba in 1987 and a M.Sc. from the University of Wisconsin-Madison in 1988. He earned a Ph.D. in electrical engineering at the University of Illinois at Urbana-Champaign in 1992 under the supervision of Douglas L. Jones. After spending 1992-1993 at École Normale Supérieure in Lyon, France, he joined Rice University.
Baraniuk has been active in the development of digital signal processing, image processing, and machine learning systems, with numerous contributions to the theory of wavelets, compressive sensing, and deep learning. The Rice "single-pixel camera" that he developed with Kevin Kelly was the first compressive imaging device and was selected by MIT Technology Review as a TR10 Top 10 Emerging Technology in 2007. Six of Baraniuk's currently 35 granted US and foreign patents on compressive sensing were licensed by Siemens in 2016 to accelerate magnetic resonance imaging (MRI) scans. He has served as Project Director for the ARO MURI on "Opportunistic Sensing" from 2013-2018, the ONR MURI on "Foundations of Deep Learning" from 2020-2025, the DOE "INCITE" project, and several DARPA projects, including "Analog to Information" and "Analog to Information Receiver".
Baraniuk is one of the founders of the Open Education movement. In 1999, Baraniuk launched "Connexions" (which was later re-named "OpenStax CNX"), one of the first initiatives to offer free, open-source textbooks via the web. OpenStax CNX continues to be one of the largest and most used open education platforms worldwide. Baraniuk's own OpenStax CNX textbook, "Signals and Systems," has generated 9 million page views including a very popular translation into Spanish.
OpenStax CNX provides the digital publishing platform for OpenStax (formerly called "OpenStax College"), a free and open library of college textbooks that as of May 2021 has saved 14 million US college students $1.2 billion. Baraniuk has been an active advocate and popularizer of open education – speaking at the TED 2006 conference – and was also one of the framers of the Cape Town Open Education Declaration.
Chair, Department of EE
Samsung Professor in the School of Engineering
Stephen P. Boyd is the Samsung Professor of Engineering, Professor of Electrical Engineering in the Information Systems Laboratory, and chair of the Electrical Engineering Department at Stanford University. He has courtesy appointments in the Department of Management Science and Engineering and the Department of Computer Science, and is a member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, machine learning, and finance.
Professor Boyd received an AB degree in Mathematics, summa cum laude, from Harvard University in 1980, and a PhD in EECS from U. C. Berkeley in 1985. In 1985 he joined the faculty of Stanford's Electrical Engineering Department. He has held visiting Professor positions at Katholieke University (Leuven), McGill University (Montreal), Ecole Polytechnique Federale (Lausanne), Tsinghua University (Beijing), Universite Paul Sabatier (Toulouse), Royal Institute of Technology (Stockholm), Kyoto University, Harbin Institute of Technology, NYU, MIT, UC Berkeley, CUHK-Shenzhen, City University of Hong Kong, and IMT Lucca. He holds honorary doctorates from Royal Institute of Technology (KTH), Stockholm, and Catholic University of Louvain (UCL).
Professor Boyd has received many awards and honors for his research in control systems engineering and optimization, including an ONR Young Investigator Award, a Presidential Young Investigator Award, and the AACC Donald P. Eckman Award. In 2013, he received the IEEE Control Systems Award, given for outstanding contributions to control systems engineering, science, or technology. In 2012, Michael Grant and he were given the Mathematical Optimization Society's Beale-Orchard-Hays Award, given every three years for excellence in computational mathematical programming. He is a Fellow of the IEEE, SIAM, and INFORMS, a Distinguished Lecturer of the IEEE Control Systems Society, a member of the US National Academy of Engineering (NAE), a foreign member of the Chinese Academy of Engineering (CAE), and a foreign member of the National Academy of Engineering of Korea (NAEK). He has been invited to deliver more than 90 plenary and keynote lectures at major conferences in control, optimization, signal processing, and machine learning.
NYU Tandon School of Engineering
Jelena Kovačević became the Dean of the NYU Tandon School of Engineering in August 2018. She is the first woman to head the school since its founding in 1854 as the Brooklyn Collegiate and Polytechnic Institute.
Since her arrival, she has garnered numerous accolades, including inclusion on the City & State “Higher Education Power 50,” “Tech Power 50,” and “50 over 50” lists, as well as Crain’s “Notable Women in Tech” rankings. She has also been appointed to the American Society for Engineering Education (ASEE) Engineering Deans Council Executive Board in which capacity she works with her fellow deans to provide vision and leadership on engineering research, education and engagement. Additionally, she is the founder and co-chair of the Northeast Regional Deans (NeRDs) council.
At Tandon, she is committed to getting more women interested in technology. Tandon's freshman class has more than double the national average of women in engineering and a quarter of its faculty are women, but Jelena works to make that number grow. She is focused on investing in research (Tandon recorded its highest single year research expenditures at $52M) and helping the school continue its historic rise in the college rankings (over 40 spots in a decade). She also oversees 12 research centers committed to advancing topics like AI, 5G, cyber security, and urban development.
During the pandemic, she maintained hybrid learning, creating in-person environments in Shanghai so students who couldn't fly to the U.S. could continue their studies.
Jelena received the Dipl. Electrical Engineering degree from the EE Department, University of Belgrade, Yugoslavia, in 1986, and the MS and Ph.D. degrees from Columbia University, New York, NY, in 1988 and 1991, respectively. From 1991-2002, she was with Bell Labs, Murray Hill, NJ. She was a co-founder and Technical VP of xWaveforms, based in New York City, NY. She was also an Adjunct Professor at Columbia University. In 2003, she joined Carnegie Mellon University, where she was the Hamerschlag University Professor, Head of Electrical and Computer Engineering, and Professor of Biomedical Engineering.
She is a Fellow of the IEEE and EUSIPCO and a coauthor (with Martin Vetterli) of the book Wavelets and Subband Coding (Englewood Cliffs, NJ: Prentice Hall, 1995) as well as a coauthor (with Martin Vetterli and Vivek K Goyal) of Foundations of Signal Processing (Cambridge University Press, 2014) and Fourier and Wavelet Signal Processing (Cambridge University Press, 2015). She coauthored a top-10 cited paper in the Journal of Applied and Computational Harmonic Analysis, a top-100 downloaded paper on IEEE Xplore and the paper for which Aleksandra Mojsilović received the Young Author Best Paper Award. Her paper on multidimensional filter banks and wavelets (with Martin Vetterli) was selected as one of the Fundamental Papers in Wavelet Theory. She received the Belgrade October Prize in 1986, the E.I. Jury Award at Columbia University in 1991, the 2010 CIT Philip L. Dowd Fellowship Award from the College of Engineering at Carnegie Mellon University, and an IEEE Signal Processing Society Technical Achievement Award.
MathWorks Professor of EE and CS
Department Head EECS
Deputy Dean of Academics, Schwarzman College of Computing
In her role as deputy dean, Ozdaglar is working on developing the Common Ground for Computing Education, an interdepartmental teaching collaborative that is bringing multiple departments together to develop and teach new courses and launch new programs that blend computing with other disciplines. Additionally, Ozdaglar is an active member of the Computing Council and the Undergraduate Student Advisory Group.
Ozdaglar received her B.S. degree in electrical engineering from the Middle East Technical University, Ankara, Turkey, in 1996, and the S.M. and the Ph.D. degrees in electrical engineering and computer science from the Massachusetts Institute of Technology, Cambridge, in 1998 and 2003, respectively. Her research expertise includes optimization theory, with emphasis on nonlinear programming and convex analysis, game theory, with applications in communication, social, and economic networks, distributed optimization and control, and network analysis with special emphasis on contagious processes, systemic risk and dynamic control.
She is the recipient of a Microsoft fellowship, the MIT Graduate Student Council Teaching award, the NSF Career award, the 2008 Donald P. Eckman award of the American Automatic Control Council, the Class of 1943 Career Development Chair, the inaugural Steven and Renee Innovation Fellowship, the 2014 Spira teaching award, and the METU Recognition Award, among others. She served on the Board of Governors of the Control System Society in 2010 and was an associate editor for IEEE Transactions on Automatic Control.
A principal investigator at the Laboratory for Information and Decision Systems, Ozdaglar’s educational contributions to MIT are substantial. She has developed a range of graduate and undergraduate courses, including a graduate-level game theory subject and an undergraduate course on networks that is jointly listed with the Department of Economics. She likewise served as a champion of curriculum innovations through her role in launching the new undergraduate major in 6-14: Computer Science, Economics and Data Science, and the creation of Course 11-6: Urban Science and Planning with Computer Science, a new program that offers students an opportunity to investigate some of the most pressing problems and challenges facing urban areas today.
Ozdaglar was the inaugural area co-editor for the area entitled “Games, Information and Networks” in the journal Operations Research. She is the co-author of the book entitled “Convex Analysis and Optimization” (Athena Scientific, 2003), is listed on three patents, and is the coauthor of well over two hundred chapters, papers, talks and seminars.