Teaching

My teaching is centered around VLSI ASIC Design, FPGA Design/Programming, GPU architecture and programming, general introductory-level programming, and Data analytics using machine learning methods. All of the courses I offer are very hands-on and designed to equip my students with the skills that are directly applicable to an industrial setting.

 

My senior- and graduate-level courses do not have exams or finals. However, the lab workload is quite heavy. I believe that a student will not acquire the necessary skills unless (s)he is exposed to fairly sophisticated projects during the class. I encourage my graduate students to work on projects that are also applicable to their research. This is why the last project of each class is open-ended which allows students from different disciplines to work on projects that are very diverse and exciting !

 

The structure of each class is around 1.5 hours of lecturing 1.5 hours of lab work every week. Each class has individual and group projects. Each project increases in complexity throughout the semester. Individual projects teach the basics, while group project(s) promote team work. A typical example is the real-time edge detection FPGA project or the real-time face recognition GPU project, which students might not have a background in. However, by providing the theoretical background and the basic hardware/software building blocks within a few lectures, my students have been able to apply these concepts to build these systems within the three week time frame.

 


EDUCATIONAL PROGRAMS MANAGED:

2016           GPU Teaching Center award. Nvidia Corp; PI for SUNY Albany ECE.

2016           GPU Research Center award, Nvidia Corp; PI for SUNY Albany ECE.


2008-2016  MOSIS Educational Program (MEP); Educational VLSI/IC fabrication; UR ECE Dept.

2009-2016  Xilinx University Program (XUP); Educational FPGA development; UR ECE Dept.

2011-2016  GPU Teaching Center award. Nvidia Corp; PI for University of Rochester.

2012-2016  GPU Research Center award, Nvidia Corp; PI for University of Rochester.