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

2. 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

3. 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

4. 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

5. 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.

6. Doctor of Professional Studies Website

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

8. 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
DoD Info. Assurance Scholarships 2006–2016
DoD: Data Analytics in Cybersecurity
Nat. Crime Agency, Mobile App Research
Run a Computer Forensics Lab NYC

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

10. Seidenberg Areas of Expertise The Data Scientist Venn Diagram

11. 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)

12. Seidenberg Areas of Expertise Quantum Computing

13. 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

14. The 2019 Top Programming Languages
IEEE Spectrum

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