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Academic Journal
BIS

“Aggregating Automatically Extracted Regulatory Pathway Relations”

Automatic tools to extract information from biomedical texts are needed to help researchers leverage the vast and increasing body of biomedical literature. While several biomedical relation extraction systems have been created and tested, little work has been done to meaningfully organize the extracted relations. Organizational processes should consolidate multiple references to the same objects over various levels of granularity, connect those references to other resources, and capture contextual information. We propose a feature decomposition approach to relation aggregation to support a five-level aggregation framework. Our BioAggregate tagger uses this approach to identify key features in extracted relation name strings. We show encouraging feature assignment accuracy and report substantial consolidation in a network of extracted relations.
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Byron Marshall, Hua Su, Daniel McDonald, Shauna Eggers and Hsinchun Chen "Aggregating Automatically Extracted Regulatory Pathway Relations" IEEE Transactions on Information Technology in Biomedicine IEEE Transactions on Information Technology in Biomedicine 100- 108 pages 2006 View on: Google Scholar

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Academic Journal
Marketing

“Aha! I Knew that Voice Sounded Familiar!”: How Non-Identified Voiceover Endorsements Increase Ad Enjoyment via Moments of Insight”

Brands often use celebrities to narrate advertisements without explicitly featuring or identifying them. While such non-identified voice-over (NIVO) endorsements are common, little research has considered consumer responses to these advertisements. The present research demonstrates that when consumers recognize a NIVO endorser’s voice, the recognition process can spark a sudden moment of insight referred to as an Aha! experience. This insightful process enhances both viewers’ enjoyment of the advertisement and their evaluations of the promoted brand. These positive effects of NIVO endorser recognition are demonstrated not only compared to those who do not recognize the NIVO endorser’s voice, but also relative to consumers who view more traditional forms of advertising (non-endorsements and ads with explicitly identified endorsers). This research contributes to theory by demonstrating how brands can benefit from using NIVO endorsement strategies in their advertising and by highlighting a novel way brands can help consumers experience moments of insight.
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Matthew Hall, Leslie Carlson and Jim Gentry "Aha! I Knew that Voice Sounded Familiar!”: How Non-Identified Voiceover Endorsements Increase Ad Enjoyment via Moments of Insight" Journal of Business Research Journal of Business Research 114495 pages 2024 View on: Google Scholar

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Exhibition
DSGN - Apparel Design

“Algorithmic Strictures of Deep Learning [Quilt]”

This quilt was inspired by a Midjourney-generated image exploring shape, negative space, and Mid-Century Modern geometrics. Using Photoshop and Illustrator, I refined color placement, developed the pattern and templates, and mapped the quilting design. While co-designing with AI sparked bold ideas, its limitations, like poor color control and iteration overload, frustrated me. The final design reflects a layered process of digital experimentation and disciplined translation, transforming imperfect outputs into a precise, tactile composition.
23% International acceptance rate (470/2041)
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Colleen Gelhaus Pokorny "Algorithmic Strictures of Deep Learning [Quilt]" QuiltCon 2026 2026

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Exhibition
DSGN - Apparel Design

“Alice: Reimagining Suffragette Dress in the Modern Fight for Women’s Equality [Garment + 2 page Abstract]”

This design reimagines suffragette dress through a contemporary feminist lens, using upcycled bedsheets to symbolize unpaid labor while prioritizing size adjustability, sustainability, and historical continuity. Inspired by Alice Paul, the look merges aesthetic strategies of early 20th-century activism with modern design practices to advocate for gender equity today.
40.4% international acceptance rate for undergraduate category (36/89)
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Ruby Parks, Bolanle Dahunsi, Colleen Gelhaus Pokorny and Marianne Dickson "Alice: Reimagining Suffragette Dress in the Modern Fight for Women’s Equality [Garment + 2 page Abstract]" International Textile and Apparel Association Design Exhibition 2025

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Academic Journal
Management

“Am I Expected to Be Ethical? A Role-Definition Perspective of Ethical Leadership and Unethical Behavior”

Prior studies have demonstrated that leaders’ ethical behaviors have an impact on followers’ unethical behaviors and yet the explanatory mechanisms in this relationship have not been fully explored. To further explicate the relationship between ethical leadership and unethical employee behavior, we adopted a role-based perspective and introduced the concept of perceived ethical role breadth. That is, we explored the impact that leaders’ actions and voice behaviors have on in-role versus extra-role perceptions of employees as they relate to ethical behavior and the impact, in turn, on unethical behavior. In a field study involving 394 employees and 68 supervisors and a randomized experiment conducted with 121 working professionals we find that, as predicted, leaders’ behaviors and voice have a significant influence on perceived ethical role breadth and that these role breadth perceptions impact unethical behavior. Based on our empirical findings, we describe the implications, limitations, and future directions relevant to this study.
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Ted A Paterson and Lei Huang "Am I Expected to Be Ethical? A Role-Definition Perspective of Ethical Leadership and Unethical Behavior" Journal of Management Sage 2019 View on: Google Scholar

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