Current Projects

• Nominal response modeling for assessing group-level decision probabilities
• Weighted averaging scheme for reporting reliable error rates 

Background

Dr. Campbell-Aaron received her PhD in statistics from the University of Virginia, where she researched methods estimating error rates in binary decisions with inconclusive outcomes, with applications in forensic science. She uses both Bayesian and Frequentist statistical methods to approach varying problems.

Current Projects

Personal health monitoring data analysis

Background

Hung-Fu has more than ten years of software development experience realizing machine learning, big data, the Internet of Things, and recommendation systems. He is interested in processing big data and applying machine learning to support human decision-making.

Current Projects

• Text Analysis of the Non-Profit Job Market
• Experiential learning with non-profits

Background

I’m a data scientist and educator in the School of Business, specializing in text analytics, data visualization, and SQL/database management. Before entering academia, I spent eight years as a data scientist in industry, applying predictive modeling, automation, and strategic reporting to improve human-centered systems across telecom marketing, sports analytics, and senior housing. Those experiences showed me both the power of analytics for real-world impact and the need to better connect technical training with the questions leaders and communities are trying to answer. I now focus on teaching applied analytics and building equity-minded learning experiences for students.

Current Projects

• Quantitative and qualitative analysis of adult cam models’ use of twitter and suspension rates.
• Comparative qualitative study of how relationship advice influencers in South Korea and China shape contemporary expectations of romantic relationships through content analysis of YouTube and BiliBili videos.

Background

Dr. Nelson received his PhD from the University of Nevada, Las Vegas where he conducted ethnographic research on transformations in romantic relationships, gender relations, and conceptions of romantic love in contemporary South Korea and their implications for Korea’s declining marriage and fertility rates. He has written on this work and the ethnology of love and in the journals: Cross-Cultural Research, Anthropological Quarterly, and Sapiens; as well as in several edited books: the International Handbook of Love, the Oxford Handbook of Human Mating, and Love Apocalypse: New Intimacies and the Decline of Marriage and Fertility. He is also engaged in interdisciplinary collaborative research projects aimed at understanding contemporary sexual commerce in the United States as forms of erotic entrepreneurship through the Erotic Entrepreneurs Project and Virtual Sexual Economies Project. Dr. Nelson is also a co-chair of CRN#6: Sex, Work, Law & Society, a collaborative research network within the Law and Society Association devoted to the sociolegal study of sexual labor and offers courses at UIndy training students in cross-cultural and ethnographic research methods.

Current Projects

• Computational models of auditory cortical response (AMS-Simons Research Enhancement Grant for Primarily Undergraduate Institution (PUI) Faculty)
• Analysis and application of finite mixture models

Background

My background is in Applied and Computational math. I have studied various functions of the neuronal system and how certain neuronal activities give rise to cognitive functions using mathematical modeling.

Current Projects

• Using patent data analysis to predict the innovation potential of post-pandemic industry partnerships, and understanding the role of information asymmetry in these alliance formations
• The role of COVID-19 in the development of new partnership trends and networks within the pharmaceutical industry
• Using discrete-event simulation to better serve the health care needs of bottom-of-the-pyramid markets in the development of capital equipment production strategies

Background

Abigail holds a doctoral degree in mathematics from the University of Cincinnati, where she received multiple teaching awards as a graduate student. She has worked on research projects funded by organizations such as the National Science Foundation, the Taft Research Center, and the Natural Sciences and Engineering Research Council of Canada. Her work has resulted in multiple publications in internationally recognized peer-reviewed journals in both mathematics and business. She greatly enjoys teaching and doing research relevant to data science. She especially enjoys interdisciplinary work, and she is always excited to collaborate.

Current Projects

• Student success analytics
• Applications of machine learning and high-performance computing resources to scientific and engineering problems

Background

My background is physics and engineering but I’m very interested in applying machine learning, Bayesian inference, and data science techniques to problems that have not historically taken advantage of these techniques. I’m especially interested in using high-performance computing resources to tackle problems involving either very large data sets or compute-intensive algorithms that would not be practical otherwise.

Current Projects

• Autonomous navigation 
• 3D mapping 
• Content-Aware Upscaling of 2D and 3D Data

Background

My background is diverse including artificial intelligence, robotics, cloud computing, and web security. My primary research interest lies in optimizing data locality in large computer and web systems, with recent interests in robot navigation, 3D mapping, and using AI techniques to 'upscale' sensor data for robotics.

Current Projects

• Adolescent sexual behavior and neighborhood perceptions

• Historical residential segregation

Background

My background is in urban sociology and family demography. In my previous projects, I’ve often used secondary data from the decennial census, the American Housing Survey, the Future of Families and Child Wellbeing data, and more to explore housing and neighborhood outcomes. I have collaborated with community and neighborhood groups to design and give surveys to the populations they serve. I also frequently do Scholarship of Teaching and Learning (SoTL) work, including a cross-disciplinary project exploring the role of empathy in the college classroom. My courses often include community-based research or other opportunities for students to build their research and data skills.