I am a research scientist interested in artificial intelligence and machine learning. I have fallen in love in artificial intelligence from the first sight. I just had to look for a really long time. I have used AI and ML models for civil structures safety, brain-computer interfaces, and various other applications in computer vision. I’d love to see if we can get our free lunch: an AI model which can adapt to any learning task.
This website describes my past experiences and accomplishments. At some point, I will be adding summaries of some of the things that I have learned along the way, and summaries of classes and topics in AI/ML/Math/Physics.
PhD in Electrical Engineering, 2014
Michigan State University
Masters of Science in Information Networking, 2009
Carnegie Mellon University
BE in Computer and Communication Engineering, 2007
American University of Beirut
By Andrew Ng
This specialization includes 5 courses:
by Andrew Ng
In addition to completing the class, I fully re-wrote the class assignments (starter code + instructions) in python Jupyter notebooks, which allows interested students to submit the assignments using python instead of the native Matlab assignments (this does not apply to students taking class in exchange for a certificate).
Find the python assignments on Github
by Fei-Fei Li, Justin Johnson, and Serena Yeung
Online class audit only (lectures + programming assignments)
Supporting regulatory guides for the nuclear power plant industry in relation to using ultrasound computational models for non-destructive inspection.
Building statistical methods to assess damage detection reliability and machine learning models for damage detection
Applications of ultrasounds in nuclear power plants including water detection in dry cask storage, defect detection in reactors, and health monitoring of radiation detectors.
Building sensor systems for reliable detection of fatigue cracks in multilayered aircraft fuselage.
Building signal processing and machine learning pipelines for defect detection and classification within steam generator tubes.