Instructors

Joel B. Harley: Lead Instructor

Education

BS, Electrical Engineering, Tufts University
MA, Electrical and Computer Engineering, Carnegie Mellon University
PhD, Electrical and Computer Engineering, Carnegie Mellon University

Bio

Joel B. Harley is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Florida, Gainesville, FL. His interests include the integration of complex wave propagation models with novel signal processing, machine learning, and data science methods for applications in smart infrastructure monitoring.

Dr. Harley is a recipient of 2018 Air Force Summer Faculty Fellowship, a 2017 Air Force Young Investigator Award, a 2014 Carnegie Mellon A. G. Jordan Award (for academic excellence and exceptional service to the community), the 2009 National Defense Science and Engineering Graduate (NDSEG) Fellowship, the 2009 National Science Foundation (NSF) Graduate Research Fellowship, the 2009 Department of Homeland Security Graduate Fellowship (declined), and the 2008 Lamme/Westinghouse Electrical and Computer Engineering Graduate Fellowship. He has published more than 70 technical journal and conference papers, including four best student papers. He is a student representative advisor for the IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society, the president of the Utah chapter of the IEEE Signal Processing Society, a member of the IEEE Signal Processing Society, and a member of the Acoustical Society of America.

Responsibilities

Prof. Harley is responsible for designing the course, teaching lectures, generating online lecture notes, holding office hours, building lab assignments, writing homework, and grading quizzes. If you have any questions about the course, feel free to contact him.

Harsha Vardhan Tetali: Teaching Assistant

Bio

Harsha completed his Bachelor's degree in Electronics and Communication Engineering from Sardar Vallabhbhai National Institute of Technology Surat, India and Master's degree in Electrical Engineering from Indian Institute of Technology Gandhinagar. Currently a graduate student at University of Florida, Harsha's research interests include Signal Processing, Machine Learning, Compressive Sensing and Computer Vision.

Responsibilities

Harsha is responsible for aiding class instruction as well as holding office hours, generating homework solutions, grading homework, and writing course notes.

Kang Yang: Teaching Assistant

Bio

Kang Yang is a Ph.D. student in the Department of Electrical and Computer Engineering at the University of Florida. His interests include signal processing, machine learning and their applications to detect and analyze the physics world. Kang Yang is a recipient of National Scholarship (China, 2014), Tang Lixin Scholarship (China, 2014) and Chiang Chen Scholarship (China, 2016).

Responsibilities

Kang is responsible for aiding class instruction as well as holding office hours, generating homework solutions, grading homework, and design homework problems.