Kin Fun LI, PhD, MBA, PEng, SMIEEE
Professor, Electrical and Computer Engineering
Director, Professional Master of Engineering Programs
Telecommunications and Information Security (MTIS)
and
Vice Chair, IEEE Victoria Section
Office: Engineering Office Wing 409; Office Hours: appointment by email
Telephone: +1-250-721-8683; email: kinli(AT)uvic(DOT)ca
Current/Recent Lectures
Fall 2021:
ECE 255 Introduction to Computer Architecture
Courses Taught: ECE/ELEC/SENG Design Project (check out the Robot Pet: http://www.youtube.com/watch?v=PHBreRQFlnM); ENGR 120 Design and Communication II (check out first-year engieering robot competition: https://www.youtube.com/watch?v=DNMqMT64H6M; ENGR 330 Professional Career Planning and Engineering Leadership; ECE 255 Introduction to Computer Architecture; ECE 355 Microprocessor Systems; ECE 356 Engineering System Software; ECE 420 Artificial Intelligence; ECE 450 Computer Systems and Architecture; ECE 455 Real Time Computer Systems Design Project; ECE 460 Computer Communication Systems; ECE 499A Mobile Robot Design Competition; SENG 380 Applied Cost Engineering; SENG 440/540 Embedded Systems; ECE 563 Advanced Computer Architecture; ECE 579A Practice of Applied Data Analytics; ECE 590 Information Retrieval on the Web; ECE 590 Data Mining and Application; ECE 590 FPGA-based Object Detectiion for Computer Vision; ECE 5909 FPGA-based Classifier for Computer Vision; ECE 590 Artificial Intelligence Hardware for Internet of Things; ECE 590 Sensing Technologies in Telemedicine; ECE 590 Social Media Mining, Techniques, Challenges, and Applications; ECE 592 Career development; ECE 699 Web and Business Intelligence
Research Interests: hardware accelerator, data mining and analytics; imagege processing, web mining and search engines, business intelligence
Current Call for Papers:
Professional Activities:
University of Victoria, Faculty of Engineering, Department of Electrical and Computer Engineering.
Master of Engineering in Telecommunications and Information Security (MTIS).
Master of Engineering in Applied Data Science (MADS)