CS691-CS692-IT691 Capstone Projects Course

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Presentation transcript:

CS691-CS692-IT691 Capstone Projects Course Dr. Charles Tappert LTC Avery Leider Seidenberg School of CSIS, Pace University

Agenda Course Overview Introductions – Instructor and Students Handout attendance sheet Job title, what you do, #years work experience Review Course Website Preliminary projects page Review Capstone Projects Journal Paper Discuss Hacker Rank If Time, Review Machine Learning Basics

Seidenberg Areas of Expertise Cybersecurity Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, Big Data Analytics Biometrics, especially those not-well-studied Quantum Computing

Seidenberg Areas of Expertise Cybersecurity Pace University is NSA and DHS designated National Center of Academic Excellence in Cyber Defense Educ. NSA & NSF: Conduct Summer Cybersecurity Workshops for High School Teachers 2015-2017 DoD Info. Assurance Scholarships 2006–2016 DoD: Data Analytics in Cybersecurity 2017-2018 Nat. Crime Agency, Mobile App Research 2016-2017 Run a Computer Forensics Lab NYC

Seidenberg Areas of Expertise AI, Machine Learning, Data Mining, Big Data

Seidenberg Areas of Expertise The Data Scientist Venn Diagram

Seidenberg Areas of Expertise Evil Component

Seidenberg Areas of Expertise Biometrics We focus on the not-well-studied biometrics because it is easier to do original research and publish results – hard to compete with companies specializing in the established biometrics, such as fingerprint, face, iris, voice Pace University currently has the world’s best keystroke biometric system Dr. Vinnie Monaco, U.S. Army Research Laboratory Keystroke Biometrics Ongoing Competition (KBOC)

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