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.”

[…]

Read More…

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

[…]

Read More…

Alex Mbaziira

Academic Credentials

B.S. Uganda Martyrs University,
M.S. Uganda Martyrs University,
M.S. George Mason University,
PhD George Mason University

Biography

Alex is an assistant professor for cybersecurity at Marymount University where he teaches undergraduate, graduate, and doctoral courses. While at George Mason University, he was a Fulbright scholar where he published research on detecting cybercrime using machine learning and natural language processing.  He is also a member of the cybersecurity and privacy working group for the Greater Washington Board of Trade. He presents and publishes peer-reviewed research in cybercrime, malware analysis, cyber forensics, privacy, and applied machine learning. He is also a member of professional organizations like IEEE.
 

Other Information

Teaching Area

Cybersecurity
Software Engineering
Software Testing and Quality Assurance
Malware Analysis
Enterprise Networks  

Research Interests

Applied Machine learning
Deception & Cybercrime
Cyber threat intelligence
Security & Privacy

Publications

  1. Diaz-Gonzalez J., Mbaziira A.V., Liu M (2019), An exploratory deep learning approach to mobile malware detection, Journal of Computing Sciences in Colleges 35 (3) ACM, 219-219       
  2. Sabir M.F., Jones J.H., Liu H., Mbaziira A.V(2019), Predicting Stealthy Watermarks in Files Using Deep Learning, 7th International Symposium on Digital Forensics and Security (ISDFS), 1-6
  3. Sabir, M. F., Jones, J. H., Liu, H., & Mbaziira, A. V. (2019, March). Using Machine Learning to Detect Stealthy Watermarks in Files. In Proceedings of the 3rd International Conference on Compute and Data Analysis. ACM, Kahului, Hawaii.
  4. Mbaziira, A. V., & Murphy, D. R. (2018). An Empirical Study on Detecting Deception and Cybercrime Using Artificial Neural Networks. In Proceedings of the 2nd International Conference on Compute and Data Analysis (pp. 42-46). ACM.- Best paper presentation award
  5. Sabir, M. F., Jones, J. H., Liu, H., & Mbaziira, A. V. (2018, March). A Non-Algorithmic Forensic Approach for Hiding Data in Image Files. In Proceedings of the 2nd International Conference on Compute and Data Analysis (pp. 60-64). ACM. – Best paper presentation award
  6. Maha Sabir, Jim Jones, Liu Hang, Alex Mbaziira, (2018) “A Non-Algorithmic Forensic Approach for Hiding Data in Image Files””, 2018 International Conference on Computing and Data Analysis.
  7. Maha Sabir, Jim Jones, Liu Hang, Alex Mbaziira, (2017) “” A File-Type Independent Approach to Persistent Forensic Watermarks for Cyber Analysis “”, International Conference on Computing and Technology
  8. Alex Mbaziira, Jim Jones (2017) “” Hybrid Text-based Deception Models for Native and Non-Native English Cybercriminal Networks””, 2017 International Conference on Computing and Data Analysis, pp 23-27, ACM.
  9. Alex Mbaziira, Jim Jones (2016) “”A Text-based Deception Detection Model for Cybercrime””, 3rd International Conference on Technology and Management (ICTM)
  10. Alex Mbaziira, Ehab Abozinadah, James Jones, (2015) “”Evaluating Classifiers in Detecting 419 Scams in Bilingual Cybercriminal Communities””. International Journal of Computer Science and Information Security 7: 1-7 (Best Paper Award).
  11.  Ehab Abozinadah, Alex Mbaziira, James Jones, (2015) “”Detection of Abusive Accounts with Arabic Tweets””. 4th International Conference on Knowledge Discovery (ICKD) 2: 113-119.
  12.  Hamed Sarvari, Ehab Abozinadah, Alex Mbaziira, Damon McCoy, (2014) “”Constructing and Analyzing Criminal Networks””. In Security and Privacy Workshops (SPW), 2014 IEEE (pp. 84-91). IEEE.

[…]

Read More…

Dr. Diane Murphy

Academic Credentials

  • PhD, Information Science, University Of Sheffield, UK, 1977
  • MSc, Library and Information Studies, 1970
  • BSc, Chemistry, University of Wales, 1969

Bio

Dr. Diane Murphy is the Director of Technology and Innovation at Marymount University and is an accomplished educator in the technology field. She was one of the 12 state-wide recipients of the 2020 Commonwealth of Virginia Outstanding Faculty Award and was awarded the inaugural Distinguished Faculty award by Marymount University’s Halo Committee in 2021.

She began her career in the European pharmaceutical industry and was an early leader in chemical informatics, using technology to predict the biological effects of chemicals. She holds a BSc degree in Chemistry an MSc in Library Science, and a PhD in Information Science.

Dr. Murphy came to the U.S. in 1980 and worked on advanced projects, including early artificial intelligence systems, for the Environmental Protection Agency (EPA). Later in the 1980s and 1990s, Dr. Murphy was a serial entrepreneur founding two technology companies, as well as a not-for-profit to help young entrepreneurs succeed in their initial business ventures.

In 2002, Dr. Murphy joined Marymount University as a full-time professor. She has been instrumental in developing new technology programs at the university including undergraduate and graduate programs. She is known for her innovation in the education field, pioneering the university’s DSc in Cybersecurity and the new DBA in Business Intelligence. She continues to teach in the classroom and conduct contemporary research. She has received a number of grants from the National Science Foundation, National Security Agency, and the Commonwealth Cyber Institute (CCI). She has recently been appointed by the Provost as the Champion for the university’s new Center for the Innovative Workforce.

Teaching Areas

  • Cybersecurity, Software Engineering
  • Digital Transformation
  • Technology Management
  • Business Analytics
  • Workforce Readiness

Research Interests

Her current research interests include the technology workforce, detecting and preventing disinformation, trustworthy artificial intelligence, and using technology to age in place.

Publications

  • Hall, A., Liu, X., & Murphy, D. (2021, October 13-16). Integrating Andragogy Theory into a Multidisciplinary Curriculum to Achieve a Connected Program for a Doctorate in Cybersecurity. Paper Presented and published in the Proceedings of the Frontiers in Education (FIE) Conference, Lincoln, Nebraska
  • Liu, X. & Murphy, D. (2021, Sep.30-Oct.1). Building a Skills-focused Educational Pathway in IT/IS Programs to Skill-based Hiring. Paper presented and published in the Proceedings of 2021 SEINFORMS (Southeast INFORMS Conference), Myrtle Beach, SC.
  • Green, N., Larasati, S.D., Duro, D., Laskey, K., and Murphy, D.(2021). Fact Repo: A Machine Learning Resource for Identifying and Analyzing Misinformation. Submitted to HT’21 (ACM Hypertext and Social Media 2021)
  • Liu, X. & Murphy, D. (2021). “BILT for Success”: An Alternative Education Strategy to Reskill the Business and Technology Professional for a Sustainable Future, Information Systems Education Journal, Vol 19 (7) p4-14. http://isedj.org/2021-19/n2/ISEDJv19n2p4.pdf
  • Liu, X. & Murphy, D. (2020). A Multi-Faceted Approach for Trustworthy AI in Cybersecurity, Journal of Strategic Innovation and Sustainability Vol 15(6)
  • Green, N., Liu, X. & Murphy, D (2020). Using an Electronic Resume Analyzer Portal (e-RAP) to Improve College Graduates Employability, Information Systems Education Journal Vol 18, pp28-37, 2020
  • Green, N., Liu, X. & Murphy, D (2019). Developing an Electronic Resume Analyzer Portal (e-RAP): A Natural Language Processing Approach to Enhance College Graduates Job Readiness, 2019 Proceedings of the EDSIG Conference, Cleveland Ohio November 2019
  • Green, N., Liu, X. & Murphy, D (2018). Revisiting an Educator’s Dilemma: Using Natural Language Processing to Analyze the Needs of Employers and Inform Curriculum Development, Proceedings CCSC Eastern Conference, Marymount University, October 2018
  • Liu, X. & Murphy, D. (2018, March 23-24), Constructing A Connected Program In IT/IS: A Non-R1 University Case, the Proceedings of 21st Annual Conference of the SAIS (Southern Association for Information Systems), Atlanta, GA.
  • Liu, X. & Murphy, D. (2017): Are They Ready? Integrating Workforce Readiness into a Four-Year College IT/IS Curriculum. Paper presented and published in the Proceedings of the 20th SAIS (Southern Association for Information Systems Conference, St. Simons, GA

[…]

Read More…

Dr. Michelle Liu

Academic Credentials

B.E., Nankai University
M.S., Tianjin Polytechnic University
Ph.D., Boston University

Bio

Dr. Michelle Liu is currently a full professor of Information Technology and Cybersecurity. She joined Marymount University in 2008. Previously she was a research assistant in the Boston University Institute for Leading in a Dynamic Economy (BUILDE) in Boston, MA. She received her doctoral degree in Information Systems from Boston University where her thesis topic was “Design Architecture, Developer Networks and Performance of Open Source Software Projects.” She also holds a master’s of Management degree in MIS from Tianjin Polytechnic University in China and a Bachelor of Engineering degree in International Trade of Textiles from Nankai University, China.

Her scholarly work appears in Journal of Strategic Innovation and Sustainability, Journal of Computing Sciences in Colleges, The Coastal Business Journal, American Journal of Management, Information Systems Education Journal, The Learning Organization, among others. Co-authoring with her colleagues, she has won two Best Paper Awards, one Distinguished Paper Award, and one Best Paper Finalist Award at international and national conferences including 2021 EDSIG Conference, 2019 SEINFORMS, 2017 Eastern Academy of Management International Conference, and the 2013 ISECON.

Dr. Liu has been both PI and Co-PI for several NSF and NSA grants during her tenure at Marymount. She is a Certified Electronic Records Management Practitioner (ERMp) and a Certified Cyber Intelligence Investigator (CCII).

Teaching Areas

  • Information Technology applications
  • Database technology
  • Software engineering
  • Security and privacy of records management
  • Cybersecurity principles
  • Risk Management

Research Interests

Dr. Liu’s inquiries of scholarship are to explore and provide better understanding as of how to design and deploy different cybersecurity tools, technologies, frameworks and policies to secure the cyberspace. Her scholarly work mainly focuses on three areas: (1) renovate or innovate STEM education (focusing on IT/ IS and cybersecurity programs and curricular) to increase workforce diversity and readiness; (2) explore how emerging technologies would impact, interact with, or co-evolve with users, existing organization structure and culture; and (3) investigate various phenomena, trends, incidents, and human behaviors in cybersecurity and provide better understanding as of how to design and deploy different cybersecurity tools, technologies, frameworks and policies to secure the cyberspace.

Publications

Selected publications:

  • Liu, X. (2021). A Risk-based Approach to Cybersecurity: A Case Study of Financial Messaging Networks Data Breaches. The Coastal Business Journal, 18(1), pp1-18.
  • Ermicioi, N. & Liu, X. (2021). An Interdisciplinary Study of Cybersecurity Investment in the Nonprofit Sector. American Journal of Management, 21(5), pp 44-55.
  • Hall, A., Liu, X., & Murphy, D. (2021, October 13-16). Integrating Andragogy Theory into a Multidisciplinary Curriculum to Achieve a Connected Program for a Doctorate in Cybersecurity. Paper Presented and Published in the Proceedings of Frontiers in Education (FIE) Conference, Lincoln, Nebraska.
  • Liu, X. & Murphy, D. (2021). “BILT for Success”: An Alternative Education Strategy to Reskill the Business and Technology Professionals for a Sustainable Future. Information Systems Education Journal 19(2), 4-14. http://isedj.org/2021-19/n2/ISEDJv19n2p4.pdf
  • Liu, X. & Murphy, D. (2020). A Multi-Faceted Approach for Trustworthy AI in Cybersecurity. Journal of Strategic Innovation and Sustainability, 15(6), pp 68-78.
  • Mbaziira, A., Diaz-Gonzales, J., & Liu, X. (2020). Deep Learning in Detection of Mobile Malware, Journal of Computing Sciences in Colleges, 36(3), pp 80-88.
  • Green, N., Liu, X., Murphy, D. (2020). Using an Electronic Resume Analyzer Portal (e-RAP) to Improve College Graduates Employability. Information Systems Education Journal. 18(3) pp 28-37. http://isedj.org/2020-18/n3/ISEDJv18n3p28.pdf. ISSN: 1545-679X. A preliminary version appears in The Proceedings of EDSIGCON 2019
  • Diaz-Gonzalez, J., Mbaziira, A. & Liu, M. (2019). An Exploratory Deep Learning Approach to Mobile Malware Detection. Journal of Computing Sciences in Colleges, 35(3), pp219.
  • Marchetto, V. & Liu, X. (2019). An Investigation of Cryptojacking: Malware Analysis and Defense Strategies, Journal of Strategic Innovation and Sustainability, 14(1), pp 66-80.
  • Green, N., Liu, X., & Murphy, D. (2019). 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, 34(3), pp 97-107.
  • Green, N., Liu, X., & Murphy, D. (2019, November 6-9). Developing an Electronic Resume Analyzer Portal (e-RAP): A Natural Language Processing Approach to Enhance College Graduates Job Readiness. Paper published at the Proceedings of EDSIG (Education Special Interest Group) Conference on Information Systems & Computing Education, Cleveland, OH. Retrieved from http://proc.iscap.info/2019/pdf/4925.pdf
  • Liu, X. M. (2019). The Cyber Acumen: An Integrative Framework to Understand Average Users’ Decision-Making Processes in Cybersecurity. In Z. Yan (Ed.), Analyzing Human Behavior in Cyberspace (pp. 192-208). Hershey, PA: IGI Global. doi:10.4018/978-1-5225-7128-5.ch011
  • Liu, X. & Murphy, D. (2018, March 23-24), Constructing A Connected Program In IT/IS: A Non-R1 University Case, the Proceedings of 21st Annual Conference of the SAIS (Southern Association for Information Systems), Atlanta, GA.
  • Erkan, G. & Liu, X. (2017, October 4-6). Investigating Vulnerabilities and Cybersecurity Issues in Connected Cars. Paper presented and published in the Proceedings of 2017 SEINFORMS (Southeast Informs Conference), Myrtle Beach, SC.
  • Liu, X. & Murphy, D. (2017, March 23-24). Are They Ready? Integrating Workforce Readiness into a Four-Year College IT/IS Curriculum. Paper presented and published in the Proceedings of 20th SAIS (Southern Association for Information Systems Conference), St. Simons, GA.
  • Liu, X. & Murphy, D. (2016, September 28-30). Engaging Females in Cybersecurity: K through Gray. Paper presented and published in the 2016 Proceedings of IEEE (Institute of Electrical and Electronics Engineers) ISI (Intelligence and Security Informatics) Conference, p255-260, Tucson, AZ.
  • Knott, C. Liu, X., & Murphy, D. (2016, February 17-19). Data without Borders: Privacy, Data Ownership, and Legal Concerns for Data in the Cloud. Paper published in the 2016 Proceedings of the Southeast Decision Sciences Institute Annual Meeting, Williamsburg, VA.
  • Liu, X. & Murphy, D. (2015, March 20-21). They are not All Enemies: Detecting and Deterring Non-Malicious, Privileged IT User Threat Using an Interdepartmental Approach. Paper published in the 2015 Proceedings of the Southern Association for Information Systems Conference, Hilton Head Island, SC.
  • Liu, X. & Rao, P. (2015). A comparative perspective of knowledge management via social media: India and China. The Learning Organization, 22 (2), pp.93-114. http://www.emeraldinsight.com/doi/full/10.1108/TLO-03-2014-0010
  • Bicak, A., Liu, X., Murphy, D. (2015). Cybersecurity Curriculum Development: Introducing Specialties in a Graduate Program. Information Systems Education Journal, 13(3) pp 99-110. http://isedj.org/2015-13/ ISSN: 1545-679X. (A preliminary version appears in The Proceedings of ISECON 2014)
  • Liu, X. & Murphy, D. (2014). Document Explosion in the World of Big Data – Curriculum Considerations. Information Systems Education Journal, 12(6) pp 83-91. http://isedj.org/2014-12/ ISSN: 1545-679X. (A preliminary version appears in The Proceedings of ISECON 2013)
  • Liu, X., & Murphy, D. (2014, August 7-9). Inspiring and Cultivating Female Innovators through Mobile App Development. Paper published in the Proceedings of the Twentieth Americas Conference on Information Systems, Savannah, GA.
  • Kelekar, U. & Liu X. (2013). Why should geography matter to public health managers?. International Journal of Business Performance Management, 14 (4), 418-434.
  • Liu, X. & Murphy, D. (2013). Using Mobile Apps to Entice General Education Students into Technology Fields. Information Systems Education Journal, 11(1) 25-32. http://isedj.org/2013-11/ ISSN: 1545-679X. (A preliminary version appears in The Proceedings of ISECON 2012)”

[…]

Read More…

Donna Schaeffer

Academic Credentials

B.S., M.B.A. Florida International University
Ph.D., The Claremont Graduate School

Biography

Other Information

Industry Associations

  • Associate, The Woodrow Wilson International Center For Scholars
  • Decision Sciences Institute
  • United Nations Business Council Forum
  • Association of Leadership Educators
  • Churchill Club

Dr. Donna Schaeffer has taught technology, leadership, and ethics courses at universities in the United States, Germany, and Korea. Over the course of her academic career, she has received outstanding teaching awards three times and has published more than 50 articles and book chapters.

Most of Dr. Schaeffer’s managerial and professional career has been focused on information technology projects in hospitals and medical offices. She was part of the team that deployed Cisco’s first enterprise wide Voice Over Internet Protocol and also programmed systems for the Space Shuttle.

Teaching Area

  • Information Technology
  • health Information Technology
  • Operations Management

Research Interests

  • Radio Frequency Identification
  • Health Care Information Systems
  • Corporate Social Responsibility
  • Technology and ethics

Publications

[…]

Read More…

Jessica Bonness

Academic Credentials

Received a Masters degree in Interior Design from the Corcoran College of Art + Design.

Biography

Jessica Bonness, ASID, IIDA, is an Assistant Professor of Interior Design at Marymount University. She is NCIDQ-certified as well as LEED GA, and has over ten years of experience as a design educator and practitioner. Shortly after receiving her Masters’s degree, she started her own firm in 2010, where she has completed a diverse array of residential projects in the Washington D.C. metro area and along the east coast. 

Other Information

Teaching Area

Jessica has taught Interior Design for several universities at the undergraduate and graduate levels. Her teaching focuses on foundational skills, professional practice, and practice-based skills, and she frequently integrates her robust design industry connections and experiences as a practice owner into the classroom.

Research Interests

Her research focuses on studying Human Behavior and using Human-Centered Design processes to refine problem-solving and improve outcomes in a variety of design applications, and she is interested in innovative classroom approaches that allow students to test their skills in active design projects.

Publications

  […]

Read More…

Moira Denson

Academic Credentials

B.A. Science Psychology- Mount Saint Mary’s University, Emmitsburg Maryland
M.A. Interior Design, Marymount University
Other study/credentials – ASID, LEED AP

Biography

Moira Gannon Denson is an Associate Professor of Interior Architecture + Design at Marymount University, where she teaches undergraduate and graduate students in design process, user- centered design, health and well0being, and sketching and rendering for ideation. She has over 10 years of professional experience in project delivery and interdisciplinary coordination of various building types, including healthcare, workplace, hospitality, and residential.

As a NCIDQ-certified and LEED-accredited Interior Designer, she is committed to improving the design process and exploring the impacts of design on overall health and wellness. She is a speaker and published author on topics such as empathic design, design psychology, well-being, and aging. She is also the recipient of multiple awards and honors, such as the Wm. L. Wilkoff, FASID Design for Humanity Award, HIBR Scholar, ASID Ones to Watch, and the Liebrock Universal Design Scholarship. In addition, she practices watercolor and illustration as a way to enhance her personal health and creativity.

  • 2024 Marymount BILT Faculty Research Award
  • 2020-ASID One’s to Watch Winner
  • 2014-2015 Washington Metro Chapter of ASID, Wm. L. Wilkoff, FASID Design for Humanity Award recipient
  • CIDA Award for Excellence, 2016 Merit Award

Other Information

Teaching Area

  • User Centered Design
  • Health + Well-being Design
  • Design + Storytelling
  • Sketching + Rendering for Ideation

Research Interests

  • Impact of Design on Health and Well-being
  • Design and Longevity

Publications

Denson, M & Wong, R. (2020). Environmental Design: Accommodating Sensory Changes and Mobility Limitations in Older Adults. In, D. Avers, & R. Wong (Eds.), Guccione’s Geriatric Physical Therapy (4th ed., pp 85-10 Elsevier.

Denson, M. (2017). Empathic Design Matters. In D. Kopec (Ed.), Health and Well-being for Interior Architecture (pp. 148-158). New York, NY: Routledge.

Empathic Design Matters (Book Chapter)

https://www.taylorfrancis.com/chapters/edit/10.4324/9781315464411-12/empathic-design-matters-moira-gannon-denson

Interview with Moira: https://www.oseterics.com/crafting-future-spaces-aging/

[…]

Read More…

Douglas Seidler

Academic Credentials

ASID + IIDA + LEED AP + IDEC

Bio

Douglas Seidler is the Director of Marymount’s School of Design and Art and Professor of Interior Design. He has over 17 years of teaching experience, including teaching interior design at the New England School of Art & Design at Suffolk University and at the Boston Architectural College. While pursuing his graduate degree in architecture, he taught architecture at the University of Florida and the Preservation Institute: Nantucket.

Seidler teaches an expansive curriculum of graduate and undergraduate design courses including Foundation Studio, Senior Capstone, Lighting, Building Technology, Computer Drafting, AutoCAD, Revit, and Construction Documents.

Seidler’s academic research focuses on the application of pedagogical research in design education. He writes about complex software like Revit and AutoCAD by limiting instruction to the most relevant topics. This instruction creates strong connections to prior knowledge, architectural graphic standards, the design studio, and the design profession. He has published three textbooks with Fairchild Books and presented at national conferences on design education.

Seidler is an NCIDQ Certificate holder, a LEED Accredited Professional for New Construction and Existing Buildings, and a professional member of ASID and IIDA.

Teaching Areas

Foundation Studio, Senior Capstone, Lighting, Building Technology, Computer Drafting, AutoCAD, Revit, and Construction Documents.

Research Interests

Seider writes about complex software like Revit and AutoCAD

Publications

Three books: Revit Architecture for Designs — Digital Drawing for Designers: A Visual Guide to AutoCAD — Hand Drawing for Designers […]

Read More…

Carlos Valdenegro

Academic Credentials

Received his Master’s degree of Architecture from the University of Virginia and earlier his Master’s degree in Bio-organic Chemistry also from the University of Virginia.

Biography

Professor Carols Valdenegro has worked in the architectural field for 35 years, focusing mainly on corporate, institutional, and multi-family residential interior design. His activities have included large and complex institutional and government projects, and his clients have included the World Bank, the Inter-American Development Bank, the Department of Justice and the Department of Defense

Other Information

Teaching Area

He has taught undergraduate and graduate courses in architectural research methods and office and hospitality design studios, as well as Master’s Thesis. 

Research Interests

  • Semiotics of Architecture 

Publications

  […]

Read More…

Marymount University