Instructors
Joel B. Harley: Lead Instructor
E-mail address: Joel.Harley@ufl.edu
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.
Daniel Alabi: Supervised Teacher
E-mail address: dalabi@ufl.eduBio
Hi everyone, My name is Daniel Alabi, and I am a third year PhD student in the SmartDATA lab with Dr. Harley. I received my bachelors in 2013 from Nigeria and worked for a while before getting my Masters' degree in 2018 here at the University of Florida. My current work is characterizing and developing a robust Non-Destructive Evaluation method for Ultra-High Performance Concrete with the Florida Department of Transportation.
Responsibilities
Daniel is responsible teaching some lectures, generating parts of homework, and grading parts of homework. If you have any questions about the course, feel free to contact him on Slack.
Ayobami Edun: Supervised Teacher
E-mail address: aedun@ufl.eduBio
My name is Ayobami Edun, and I am a second year PhD student in the smartDATA Lab with Prof. Joel Harley. I received my bachelors of engineering in electrical and electronics engineering from Federal University of Technology, Akure, Nigeria in 2014. I received my M.S. degree in electrical and computer engineering from University of Florida, Gainesville, FL, USA in 2019. Currently, I work on using spread spectrum time domain reflectometry (SSTDR) to detect, localize, and characterize faults within solar panel system.
Responsibilities
Ayobami is responsible teaching some lectures, generating parts of homework, and grading parts of homework. If you have any questions about the course, feel free to contact him on Slack.
Joseph Melville: Supervised Teacher
E-mail address: joseph.melville@ufl.eduBio
Hi everyone. I am a second year PhD student, working in the SmartDATA lab with Dr. Harley. I received my bachelor and master degree in mechanical engineering at the University of Utah in 2016 and 2017. My master thesis was "Structural Damage Detection using Dictionary Learning". After spending two years as a process engineer at Hill Air Force Base in Utah, I decided to pursue further research in physics based machine learning. My current work seeks to uncover mechanisms for abnormal grain growth in ceramics microstructures using a combination of analytical simulations, experimental microstructure data, and reinforcement learning.
Responsibilities
Joseph is responsible teaching some lectures, generating parts of homework, and grading parts of homework. If you have any questions about the course, feel free to contact him on Slack.