Following is a list of popular EE department seminars. For upcoming dates, times, and speakers, please refer to the department events calendar.
The John G. Linvill Distinguished Seminar on Electronic Systems Technology
- 2018 Linvill Seminar Video Professor John Hennessy presents "The End of the Road for General Purpose Processors & the Future of Computing".
John Linvill was a revered figure at Stanford as much for his self-effacing and unpretentious style as for his engineering foresight and his commitment to the entrepreneurial spirit. Linvill helped launch Stanford on a trajectory that would ensure Stanford's continuing leadership in electronics engineering for decades to come. These lectures have been created to help us explore our paths going forward, and to honor John Linvill's enormous legacy as both a faculty member and a department chairman, whose commitment to excellence at Stanford continues to be a model for us all.
Interdisciplinary talks from invited speakers hosted by the EE Department. Lecture videos are viewable and/or downloadable by the Stanford community only (SUNet ID and password required).
The Information Theory Forum (IT-Forum) at Stanford ISL is an interdisciplinary academic forum which focuses on mathematical aspects of information processing. With a primary emphasis on information theory, researchers from signal processing, learning and statistical inference, control and optimization are also welcome to deliver talks. The forum is typically held in Packard 202 every Friday at 1:00 pm during the academic year.
The Information Systems Laboratory Colloquium (ISLC) is typically held in Packard 101 every Thursday at 4:15 pm during the academic year.
Q-Farm is a collaboration of quantum researchers across Stanford and SLAC. Stanford's vibrant research community supports several seminar series and colloquia that often host external speakers in the area of quantum sciences & engineering.
The Q-FARM seminar series is designed to bring together the various groups in the university interested in quantum science and engineering. Seminars take place every other Wednesday at lunch time, with two speakers per session giving short talks on their research. The primary goal of these seminars is to strengthen the community and increase collaboration. Theoretical and experimental talks are balanced so that the whole community may participate.
Themes include optimizing transmission and distribution systems, including new energy resources like distributed generation, energy storage, deferrable demand and intermittent renewable power. The hour-long seminars are held at 1 p.m. approximately every other Thursday.
An annual lecture with mathematical engineering topics.
Computer Systems Colloquium (EE 380)
Meets on Wednesdays 4:30PM-5:45PM throughout the academic year. Talks are given before a live audience in Room B03 in the basement of the Gates Computer Science Building. The live talks (and the videos) are open to the public.
Offered to incoming first-year PhD students in the Autumn quarter. The seminar gives CS faculty the opportunity to speak about their research, which allows new CS PhD students the chance to learn about the professors and their research before permanently aligning.
The Stanford Center for Image Systems Engineering (SCIEN) is a partnership between the Stanford School of Engineering and technology companies developing imaging systems for the enhancement of human communication.
SystemX Alliance (EE310)
The Stanford SystemX Alliance is a collaboration between Stanford University and member industrial firms to produce world-class research and Ph.D. graduates with a view to enabling truly ubiquitous sensing, computing and communication with embedded intelligence.
These Stanford seminars are also popular among the EE community. To see more details about each course-based seminar, please visit Stanford's Explore Courses site:
Linear Algebra and Optimization Seminar (CME 510)
Human-Computer Interaction Seminar (CS 547)
Materials Science Colloquium (MATSCI 230)
Ginzton Lab / AMO / Optics and Electronics Seminar (APPPHYS 483)