Doctor of Professional Studies Orientation Revisited Chuck Tappert and Ron Frank Seidenberg School of CSIS, Pace University

Program Overview Innovative research doctoral program Provides IT professionals with a unique opportunity to pursue a doctoral degree while continuing to work full time Supports interdisciplinary study among the computing disciplines and applied research in one or more areas of the field Provides a background highly valued by both academia and industry

Introductions – Faculty/Staff Dr. Charles Tappert, quantum computing, machine learning, biometrics, data analytics Dr. Ronald Frank, math, quantum computing, software engineering, data structures, etc. Dr. Lixin Tao – cloud and distributed computing Dr. Li-Chiou Chen – security, cybersecurity Dr. Yegin Genc – computational linguistics, research methodology Dr. Sung-Hyuk Cha – algorithms, data mining, machine learning Dr. Sotirios Skevoulis – software engineering Dr. Juan Shan – image processing, machine learning Adjunct Prof. Rinaldo DiGiorgio, Oracle – agile software development Adjunct Prof. Paul Dantzig, IBM – web performance, big data analytics, Managed IBM's Olympic and USTA websites Adjunct Prof. Tilak Agerwala, IBM – cloud and distributed computing Staff Danielle Moccia, Jill Olimpieri, Stephanie Elson

Introductions - Students Describe some of these items Your job title and what you do Number of years work experience How you learned about the program Why you joined the program What you hope to learn in the program Your research interests Possible dissertation topics

Doctor of Professional Studies Website Welcome from the Program Chair You are in the midst of an exciting age of technological innovation. You're also not alone. The competition is strong, and the pace is fast. To succeed, you need to stand out, adapt quickly to emerging technologies, and then apply them to your profession.

Doctor of Professional Studies Website

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 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)

Seidenberg Areas of Expertise Quantum Computing

Seidenberg Areas of Expertise Quantum Computing US injects $1.2 Billion into Quantum Tech Race Companies involved in Quantum Computing 10 Quantum Computing Startups Funded 2018 Seidenberg focus Teaching – grad, undergrad, H.S. students Current graduate-level course Masters-level projects

The 2019 Top Programming Languages IEEE Spectrum

Miscellaneous Items Pace University Pleasantville entrances 2 and 3 Travel to Miller Hall without a car