Embedded Files
10 Years of experience teaching Artificial Intelligence and Cybersecurity at the undergraduate and graduate levels.
10 Years of experience teaching Artificial Intelligence and Cybersecurity at the undergraduate and graduate levels.
George Mason University
George Mason University
AIT 736: Applied Machine Learning - [Developed in-person and online courses] : Fall 2019-Spring 2025
AIT 736: Applied Machine Learning - [Developed in-person and online courses] : Fall 2019-Spring 2025
Machine learning is now incredibly pervasive with applications such as homeland security face recognition, self-driving cars, bioinformatics, etc. This course familiarizes students with a broad cross-section of models and algorithms for machine learning and prepares students for research or industry application of machine learning techniques. The course also provides students with opportunities to gain hands-on experience with several machine-learning tools.
What the Students say: Evaluation scores > 4.5/5
The course introduces fundamental security principles and real-world applications of cyber security. Topics covered include access control, common classes of attacks, monitoring, intrusion detection, basic cryptography, computer security models, legal and privacy issues, and risk analysis. The course also provides students with opportunities to gain hands-on experience with several security tools (e.g., protocol analyzers).
University of North Carolina Charlotte
ITCS 5010: Introduction to Biometric Systems - [Developed]: Fall 2016
ITCS 5010: Introduction to Biometric Systems - [Developed]: Fall 2016
ITCS 2175: Logics and Algorithms: Fall 2015 - Spring 2017
ITCS 2175: Logics and Algorithms: Fall 2015 - Spring 2017
West Virginia University
Guest Lecturer for the "Pattern Recognition" and "Introduction to Biometrics" courses (2013)
"Be Curious!"
Curiosity drives Innovation, leading to a better understanding of complex problems. It inspires us to ask questions and passionately seek answers.
Google Sites
Report abuse