Dr. Andy Hall’s research falls within the multidisciplinary fields of operations research, data science and cybersecurity education and I specialize in applying advanced analytic techniques to solving complex decision problems. I am an expert in workforce planning and military operations research. My research in cybersecurity education looks at innovative methods to grow, teach and mentor the next generation of security researchers, as well how they will be incorporated into the world of work. I am examining research methods in cybersecurity and conducting research that incorporates bootstrapping and advanced statistical methods to evaluate thematic saturation in qualitative research.
Dr. Michelle Liu’s research mainly concerns dynamic and complex relations between emerging technologies and human decision-making. Her scholarly work focuses on three areas: (1) how emerging technologies (e.g., telehealth) would interact with, or co-evolve with users, organization security posture, and privacy decision making; (2) how to address questions about the impact, governance, ethics, and accountability of AI-based systems; and (3) how to innovate STEM education to increase workforce diversity and readiness. She has been actively involved in student/faculty collaborative research activities which culminate in conference presentations and peer-reviewed journal publications.
Dr. Kateryna Nesvit has performed extensive research in computational mathematics. Currently, she focuses on algorithms to automate the pre-employment hiring process. This research uses algorithms for converting voice responses to employer questions into text, preliminary text analysis, and NLP algorithms to build a decision-making model. Building such a decision-making model is designed to reduce the number of company personnel conducting recruiting with automated decision-making reducing hiring time; the same selection methods will be applied to all candidates, which will eliminate the subjective factor.
Dr Diane Murphy is a Distinguished Professor known for her research as well as her teaching and community service. She is currently the Principal Investigator (PI) on several research grants in the cybersecurity field including following from the National Science Foundation (NSF): the CyberCorps Scholarship for Service grant and the CyberTeach grant. Much of her research is in workforce development, including educational pathways in both cybersecurity and, more recently, in artificial intelligence. She is particularly interested in researching barriers to diversity (gender and ethnicity). Her interests also include trustworthy AI and the detection/ minimization of bias in AI.
Dr. Natalia Bell’s research interest is focused on cybersecurity in nonprofits and SMEs; cybersecurity readiness during disasters, and cybersecurity awareness. Dr. Bell also works on academic-related research covering workforce readiness, digital badges for academic milestones, and academic resilience during uncertainty. Dr. Bell is also interested in exploring new research areas focus on new topics such as AI and cybersecurity in AI, and cyber diplomacy. Dr. Bell also works on the development of AI curriculum.
Dr. Nathan Green’s research is primarily in Natural Language Processing (NLP), Machine Learning and Human Computer Interactions (HCI). His Ph.D. was in the development of new ensemble machine learning algorithms that could be leveraged for under-resourced languages. Dr. Green has developed models across various languages including Tamil, Czech, Icelandic, and Indonesian for a variety of machine learning tasks. Dr. Green’s background in HCI includes developing a new patented keyboard design and software model. With the intersection of these fields, Dr. Green is currently conducting research in new interfaces for Human Robot Interactions and interfaces and uses for Extended Reality (XR).
Dr. Susan Conrad’s key research area is data privacy and protecting personal identifiable information. With Internet of Things (IOT) and surveillance devices tracking our every movement, developing strategies to protect data is not simply about keeping data safe but a human rights issue impacting personal freedom. Questions about data consent, usage and ownership will dictate how personal data can be used and collected. Dr. Conrad is interested in researching how data privacy safeguards can be integrated into new products for the safeguarding of personal data. In addition to privacy, Dr. Conrad researches topics about workforce readiness and trends in the technology marketplace.