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Brian is a Visiting Professor of Cybersecurity and Information Technology in the School of Business and Technology. His teaching focus is on general cybersecurity topics and programming. He has published research and had his work presented at conferences. He is active in the security community and regularly attends and participates in security conferences around the country.

Other Information

Teaching Area

General Cybersecurity
Computer Networking
Programming

Research Interests

AI Security
Disinformation
Game Security

Publications

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Natalia Bell, D.Sc.

Academic Credentials

Doctor of Science

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Andy Hall

Academic Credentials

B.S. Computer Science, United States Military Academy
M.S. Applied Mathematics, Naval Postgraduate School
Ph.D. Operations Management and Management Science, University of Maryland

Biography

Dr. Hall has just joined the faculty at Marymount University this fall. Before joining Marymount, He was on the faculty at the United States Military Academy at West Point, in the Department of Mathematical Sciences. He was most recently the Director of the Army Cyber Institute, the Army’s Think Tank for the cyber domain, where he directed and oversaw research, leadership development, and partnership efforts in the cyber domain. He serves as the chair of the editorial board for the Cyber Defense Review journal and most recently has focused on research in cybersecurity education. He is active in the Military and Security Applications Society of INFORMS, having served as the society’s president.

A retired Army Colonel, Dr. Hall has served as an infantry officer, an operations research and systems analyst, a cyber officer, and an academy professor. He has served in the infantry and artillery units as well as multiple assignments in the pentagon, serving on both the Army Staff and the Joint Staff.

Other Information

Teaching Area

Data Science
Cybersecurity
Operations Research

Research Interests

Markov Decision Processes and Reinforcement Learning
Simulation
Networks
Cybersecurity and Cybersecurity Education,
Data Science and Machine Learning
Manpower modeling
Financial Mathematics

Publications

Journals and Peer Reviewed Conference Proceedings

Lujana Beshaj and Andrew Hall, “”Recent Developments in Cryptography,”” 2020 12th International Conference on Cyber Conflict (CyCon), Estonia, 2020, pp. 351-368.

Bastian, N. D., Lunday, B. J., Fisher, C. B., & Hall, A. O. (2020). Models and methods for workforce planning under uncertainty: Optimizing US Army cyber branch readiness and manning. Omega.

N. D. Bastian, C. Fisher, A. Hall, B. Lunday, Solving the Army’s cyber workforce planning problem using stochastic optimization and discrete-event simulation modeling, in: M. et al. (Ed.), Proceedings of the Winter Simulation Conference 2019, IEEE, 2019, pp. 1–12.

Jean R. S. Blair, Andrew O. Hall, and Edward Sobiesk, Educating Future Multidisciplinary Cybersecurity Teams, IEEE Computer, Volume: 52, Issue: 3, March 2019.

Andrew O. Hall, Brian M. Schultz, Direct Commission for Cyberspace Specialties, The Cyber Defense Review, 2017.

Andrew O. Hall, Michael Fu, Optimal Officer Force Profiles, Optimization Letters, Springer, 10/2015; 9(8).

Yiwei Chen, Namrata Cornick, Andrew O. Hall, Ritvik Shajpal, John Silberholz, Inbal Yahav, Bruce Golden, Comparison of Heuristics for Solving the GMLST Problem, in Telecommunications Modeling, Policy and Technology, Volume 44 of the series Operations Research/Computer Science Interfaces pp 191-217, Springer, 2008.

Andrew O. Hall, Validation of the Enlisted Grade model gradebreaks, WSC ’04 Proceedings of the 36th conference on Winter Simulation, pg 921-925, Winter Simulation Conference, December 2004.

Fernando Maymí, John “”Buck”” Surdu, Andrew O. Hall, Ryan Beltramini, Weapon and communication systems: modeling the wireless network architecture of land warrior, WSC ’02 Proceedings of the 34th conference on Winter Simulation: Exploring New Frontiers, pg 960-966, Winter Simulation Conference, December 2002.

Book Chapters and Invited Papers

Blair, J. R., Hall, A. O., & Sobiesk, E. (2020). Holistic cyber education. Cyber Security Education: Principles and Policies.

Nathaniel D. Bastian and Andrew O. Hall, Military workforce planning and manpower modeling, in: N. Scala, J. Howard (Eds.), Handbook of Military and Defense Operations Research, CRC Press, 2020.

A. Hall, M. Klipstein, and E. Sobiesk, Winning the Cyberspace Workforce Race, Cyber Storm International Conference, 2019, University New South Whales, Australia.

A. Hall and E. Sobiesk, Integration of the Cyber Domain at the United States Military Academy, International Workshops: Realigning Cybersecurity Education, 2017, University New South Whales, Australia.

David M. Cashbaugh, Andrew O. Hall, Michael Kwinn, Todd A. Sriver, N. Keith Womer, Manpower and Personnel, in Methods for Conducting Military Operational Analysis, MORS 2007.

Other Publications

Nestler, S. and Hall, A. (2019), The variance gamma distribution. Significance, 16: 10-11.

Hall, Andrew O. and Fu, Michael, Gradient Estimation and Mountain Range Options (December 11, 2018). Available at SSRN: https://ssrn.com/abstract=3299798.

Hall, Andrew O., and Terence M. Kelley. “West Point’s Army Cyber Institute: Developing the Cyber Leadership Model.” The Washington Times, 28 Jan 2018, www.washingtontimes.com/news/2018/jan/28/west-points-army-cyber-institute-developing-the-cy/.

Paul Maxwell, Andrew Hall, Daniel Bennett, Cyber Operations in Dense Urban Terrain, Small Wars Journal, 7/2017.

Hall, Andrew O., and Terence M. Kelley. “Expanding Tech Advantages, ‘Cyber Resiliency’.” The Washington Times, 14 Feb. 2017, www.washingtontimes.com/news/2017/feb/14/expanding-tech-advantages-cyber-resiliency/.

Roy A. Wallace, Michael J. Colarusso, Andrew O. Hall, David S. Lyle and Michael S. Walker, Paid to Perform: Aligning Total Military Compensation with Talent Management, Carlisle, PA: Strategic Studies Institute, U.S. Army War College, 2015.

Andrew O. Hall, Michael Fu, Optimal Army Officer Retirement, Robert H. Smith School Research Paper No. RHS 2445111 April 1, 2014.

Mary Lou Hall, Andrew O. Hall, Keith Olsen, The Army’s Reliance on Stop Loss, SSRN: Social Sciences Research Network May 31, 2009.

Scott Nestler and Andrew O. Hall, Tactics, Techniques, and Procedures for Quick-Reaction Analysis, PHALANX, the Bulletin of the Military Operations Research Society, June 2009.

J. Surdu, A. Hall, and F. Maymi. “”Network Simulation in Support of Land Warrior,”” 2002 Simulation Solutions Conference, San Diego, CA, 7-10 April 2002.

Andrew O. Hall, John “”Buck”” Surdu, Fernando Maymí, Ashok Deb, Kristin Saling, Modeling the communications capabilities of the Infantry Soldier, Proceedings of the Communication Networks and Distributed Systems Modeling and Simulation Conference (CNDS), January 2002. […]

Dr. Susan Conrad

Academic Credentials

B.A., University of Wisconsin – Madison
M.B.A., Kansas State University
M.Ed., George Mason University
Ph.D., George Mason University

Bio

Dr. Conrad began her career working for NBC as a reporter. She later became a lead staffer for the Wisconsin State Energy Committee. She later transitioned to Accenture Consulting as a technology consultant before joining a start-up company in San Francisco Bay as the chief architect for development of a Medicare review system. The system was used to review Medicare and Medicaid claims to find fraud in California. The system was later purchased by the U.S. Department of Health and Human Services and has been used nationwide.

Afterwards, she became the Director of Information Services for Lexington Medical Health Systems in South Carolina where she implemented a new Enterprise Resource Planning (ERP) in a record 12 months. During her tenure at the health system, she implemented more than 25 hospital IT systems and was instrumental in transforming the workflow within the system and affiliated medical clinics. She managed a team of 40 people who were responsible for maintaining medical system. Dr. Conrad left the hospital after several years to accept a position to with Siemens Medical Solutions as a solutions manager implementing ERP systems. She worked for Siemens more than twelve years where she held a variety of positions to include Director of ERP and custom code (a 200+ person implementation team); sales executive for the Mid-Atlantic region and regional executive professional services manager. Dr. Conrad joined Marymount in 2011 as the Director of Instructional Design and Online Learning. She left that position and joined the faculty in 2016 as a full-time professor in the School of Business, Innovation, Leadership and Technology. Dr. Conrad is very interested in the topics of digital privacy and workforce readiness.

Teaching Areas

Information Technology
Web Design
HTML and CSS
Python Programming
Privacy

Research Interests

Privacy
Workforce Readiness

Publications

Conrad, S. S. (2020). Experiential learning: Preparing students for the workforce through faculty mentorship and feedback in campus-based IT projects. Journal of Computing Sciences in Colleges, 36(3), 142–150. https://doi.org/10.5555/3447080.3447096 Conrad, S. S. (2019).
Protecting personal information and data privacy: what students need to know. J. Comput. Sci. Coll. 35, 3 (October 2019), 77–86. DOI:https://doi.org/10.5555/3381569.3381580
Conrad, S.S. (2019) Biometrics– Safeguarding or Compromising Individual Privacy. SEINSFORMS Proceedings 2019. http://www.conferencemgt.com/presseinforms/SEINFORMS2019-Proceedings.pdf
Conrad, S. S., & Cashin, S., Cyber Behaviors: How Concerned are People When it Comes to Cyber Protection. http://www.conferencemgt.com/presseinforms/SEINFORMS%202018%20-%20Proceedings.pdf (pp 133-142) 2018.
Conrad, S. S., & Dabbagh, N. What Types of Feedback Students Want from Instructors in Online Classes and What Instructors Actually Provide? In Innovative Applications of Online Pedagogy and Course Design (pp. 177–201). Hershey, PA: IGI-Global. 2018.
Dr. Susan Conrad, Dr. Donna Schaeffer, Rita Thomas, and Dr. Patrick Olson. 2017. Strategies to provide helpful feedback to your students: panel discussion. J. Comput. Sci. Coll. 32, 3 (January 2017), 157.
“Examining the Factors that Influence how an Instructor Provides Feedback in Online Learning Environments, International Journal of Online Pedagogy and Course Design, 5(4), (pp. 47-66) 2015.
“Latist: A Performance Support Tool for Integrating Technologies into DAU Learning Assets”, Defense Acquisition Research Journal, 18(3) (pp. 313-334), 2011.”

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Nathan Green

Academic Credentials

B.S. North Carolina State University, Computer Science
M.S. George Washington University, Computer Science
Ph.D. Charles University, Natural Language Processing

Fulbright, Iceland
Marie Curie Early Stage Researcher, European Union

Biography

Dr. Green is Assistant Professor at Marymount University in the Department of Information Technology, Data Science, and Cybersecurity . He previously taught at Westfield State University in Massachusetts. Dr. Green completed his PhD in 2013 from Charles University in Prague. His time in Prague was spent as a Marie Curie Early Stage Researcher in the Institute of Formal and Applied Linguistics and was funded through the CLARA (Common Language Resources and their Applications) EU project. His research was in developing new ensemble machine learning algorithms, specifically applied to language dependency parsing.

Dr. Green’s undergraduate degree was completed at NCSU in 2003 and masters degree in Computer Science from The George Washington University in Washington DC while working for the Bureau of Labor Statistics in 2006. Before attending Charles University in Prague, he spent a year in Iceland on a Fulbright Fellowship.

Other Information

Teaching Area

Computer Science
Data Science
Machine Learning and AI
Computational Linguistics
Game Development
Mobile Programming
Software Engineering

Research Interests

Using Natural Language Processing to Identify Disinformation
Data-driven curriculum development and job preparedness
Corpus construction for under-resourced languages
Graph-based Language Modeling

Publications

BOOK CHAPTERS

Hybrid Approaches to Machine Translation , Chapter: Creating Hybrid Dependency Parsers for Syntax-Based MT, Published July 2016 by Springer

Practical Graph Mining with R,

Chapter 4: Link Analysis
Chapter 5: Graph-Based Proximity Measures
Published July 15, 2013 by Chapman and Hall/CRC

JOURNALS

Nathan Green, Xiang Liu, Diane Murphy, Developing an Electronic Resume Analyzer Portal (e-RAP): A Natural Language Processing Approach to Enhance College Graduates Job Readiness. Information Systems Education Journal, 2020

Nathan Green, Xiang Liu, Diane Murphy, Revisiting an Educator’s Dilemma: Using Natural Language Processing to Analyze the Needs of Employers and Inform Curriculum Development. Journal of Computing Sciences in Colleges, 2019

N. Green, P. Breimyer, V. Kumar, and N.F. Samatova, BioDEAL: Community Generation of Biological Annotations, BMC Medical Informatics and Decision Making, Vol.9 Suppl 1., 2009 (Invited)

PROCEEDINGS

Nathan Green, Michelle (Xiang) Liu, and Diane Murphy, Developing an Electronic Resume Analyzer Portal (e-RAP): A Natural Language Processing Approach to Enhance College Graduates Job Readiness. Proceedings of the EDSIG Conference on Information Systems and Computing Education, Cleveland , Ohio, 2019

Nathan Green and Septina Dian Larasati, The First 100 Days: A Corpus Of Political Agendas on Twitter. Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC’18), Miyazaki , Japan, 2018

Nathan Green and Septina Dian Larasati, Votter Corpus: A Corpus of Social Polling Language. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14), Reykjavik, Iceland, 2014

Nathan Green and Zdeněk Žabokrtský, Improvements to Syntax-based Machine Translation using Ensemble Dependency Parsers. Proceedings of the ACL 2013 Second Workshop on Hybrid Approaches to Translation (HyTra), Sofia, Bulgaria, 2013

Nathan Green, Septina Dian Larasati and Zdeněk Žabokrtský, Indonesian Dependency Treebank: Annotation and Parsing. Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation (PACLIC), Bali, Indonesia, 2012

Nathan Green, Loganathan Ramasamy and Zdeněk Žabokrtský, Using an SVM Ensemble System for Improved Tamil Dependency Parsing. ACL Joint Workshop on Statistical Parsing and Semantic Processing of Morphologically Rich Languages, Jeju, Republic of Korea, 2012

Nathan Green and Zdeněk Žabokrtský, Hybrid Combination of Constituency and Dependency Trees into an Ensemble Dependency Parser. Innovative hybrid approaches to the processing of textual data, Workshop EACL, Avignon, France, pp. 19-26, 2012

Nathan Green, Building Parallel Corpora through Social Network Gaming. Collaborative Resource Development and Delivery, Workshop in The Eighth International Conference on Language Resources and Evaluation (LREC) 2012, Istanbul, Turkey

Martin Popel, David Marecek, Nathan Green and Zdeněk Žabokrtský, Influence of Parser Choice on Dependency-Based MT, Proceedings of the Sixth Workshop on Statistical Machine Translation, Edinburgh, Scotland, 2011, pp. 433-439, 2011

Nathan Green, Effects of Noun Phrase Bracketing in Dependency Parsing and Machine Translation, Association for Computational Linguistics (ACL) Student Session, Portland, Oregon, 2011

Nathan Green, Dependency Parsing, WDS’11 Proceedings of Contributed Papers, Prague Czech Republic, pp. 137-142, 2011

N. Green, P. Breimyer, V. Kumar, and N.F. Samatova, PackPlay: Mining semantic data in collaborative games, Association for Computational Linguistics (ACL) in the Proceedings of the Fourth Linguistic Annotation Workshop (LAWIV), Uppsala, Sweden, pp. 227-234, 2010

N. Green, P. Breimyer, V. Kumar, and N.F. Samatova, WebBANC: Building Semantically Rich Annotated Corpora from Web User Annotations of Minority Languages, 17th Nordic Conference on Computational Linguistics, Odense, Denmark, Vol. 4, pp. 48-56, 2009

P. Brent, N. Green, P. Breimyer, R. Krishnamurthy, and N.F. Samatova, Systematic Evaluation of Convergence Criteria in Iterative Training for NLP, 22nd International Florida Artificial Intelligence Research Society, Sanibel Island, Florida, 2009

N. Green, P. Breimyer, V. Kumar, and N.F. Samatova, BioDEAL: Biological data evidence annotation linkage system, IEEE International Conference on Bioinformatics & Biomedicine Workshops (BIBMW), Philadelphia, PA, pp. 99-106, 2008

N. Green, J. Kruger, C. Faldu, and R.S. Amant, A reduced QWERTY keyboard for mobile text entry, ACM’s Computer Human Interaction (CHI) Conference on Human Factors in Computing Systems, Vienna, Austria: pp. 1429-1432, 2004

M. Heil, R. Fornaro, N. Green, J. Maness, and W. Webb, On becoming a winning student team: placing third in an international design competition, 34th Annual Frontiers in Education (FIE), Savannah, GA, pp. F4G-1-5 Vol. 2., 2004

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