- Education (EDUC), Signal processing and system theory EDUCATION: Development of pedagogical techniques and assessment tools.
- Signal Processing (SP), Graph signal processing
- >>> On an extended sabbatical leave at MIT until late summer 2014. <<<
NOTE: BABAK AYAZIFAR CAN NEITHER CONSIDER NOR REPLY TO INTERNSHIP OR SUMMER RESEARCH REQUESTS FROM APPLICANTS OUTSIDE UC BERKELEY.
Babak Ayazifar joined the EECS faculty at UC Berkeley in 2005, where he is now a Lecturer with Security of Employment (Lecturer SOE). He earned his B.S. in EE from Caltech, and his S.M. and Ph.D. in EECS from MIT. In his doctoral research, he applied spectral graph theory to the study of the mutual influence of a network's topology and dynamics. This led to his dissertation,
Graph Spectra and Modal Dynamics of Oscillatory Networks.
At MIT, Babak received the Harold L. Hazen Award for outstanding teaching (1995). He advanced to the rank of Instructor-G, which conferred teaching assignments ordinarily reserved for faculty (1996). He won the Goodwin Medal—MIT's most prestigious award for a graduate student who "has performed above and beyond the norm, and whose teaching efforts can truly be characterized as `conspicuously effective'" (1999). In spring 2002, he took leave from his graduate studies to take an appointment as a Senior Lecturer at MIT’s School of Engineering, teaching a graduate course in digital signal processing.
Immediately prior to his faculty appointment at UC Berkeley, Babak was a Technical Specialist in the Intellectual Property and Technology Group of Ropes & Gray, LLP in Boston, MA. His intellectual property experience spans patent prosecution and related activities over a wide range of technologies, such as mechanical devices, intravascular MRI, DNA Microarray data analysis, and encrypted communication using chaotic systems. Babak is a patent agent, registered to practice before the United States Patent and Trademark Office (Reg. No. 56793).
Babak is co-inventor on the patent Method and apparatus for providing scalable compressed video signal: U.S. Patent no. 5,387,940. This reflects part of his work as an Associate Member of the Technical Staff in the Communications Research Laboratory of the David Sarnoff Research Center in Princeton, NJ.
At UC Berkeley, Babak has focused on teaching, student learning, curriculum development and reform, mentoring graduate and undergraduate teaching assistants, and sharing the results of his pedagogical innovations and insight at international conferences, workshops, and other forums.
In 2008 Babak received the UC Berkeley Electrical Engineering Division's Outstanding Teaching Award.
And he received the 2012 IEEE Education Society’s Mac Van Valkenburg Early Career Teaching Award. His citation reads
"For creative, lively, challenging, and caring teaching that has sparked broad excitement and engagement among his students, even in the largest core courses."
Babak is a member of Tau Beta Pi, the National Engineering Honor Society, and Eta Kappa Nu, the Electrical Engineering Honor Society. He has served as one of two faculty co-advisers for the UC Berkeley Chapter of Tau Beta Pi since 2009.
Babak's Teaching Evaluations at UC Berkeley
If in doubt, Just Call Him Babak!
- V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, "Critically-sampled perfect-reconstruction spline-wavelet filterbanks for graph signals," in Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE, 2013, pp. 475-478.
- V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, "Wavelet-regularized graph semi-supervised learning," in Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE, 2013, pp. 423-426.
- V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, "Circulant structures and graph signal processing," in Image Processing (ICIP), 2013 20th IEEE International Conference on, 2013, pp. 834-838.
- V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, "Multiresolution Graph Signal Processing via Circulant Structures," in Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2013 IEEE, 2013, pp. 112-117.
- B. Ayazifar, "The Elegant Geometry of Fourier Analysis," in Circuits and Systems (ISCAS), Proceedings of 2012 IEEE International Symposium on, 2012, pp. 2933-2936.
- B. Ayazifar, "Rethinking Fourier’s Legacy in Signals and Systems Education," in Circuits and Systems (ISCAS), Proceedings of 2011 IEEE International Symposium on, 2011, pp. 599-602.
- H. Liu, J. Kotker, and B. Ayazifar, "A first lab in filter design: Power line hum suppression in an ECG signal," in Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on, 2010, pp. 2812 -2815.
- B. Ayazifar, "Can we make signals and systems intelligible, interesting, and relevant?," Circuits and Systems Magazine, IEEE, vol. 9, no. 1, pp. 48-58, March 2009.
- B. Ayazifar, "Graph Spectra and Modal Dynamics of Oscillatory Networks," MIT, Sep. 2002.