2023 University Research Symposium
Putting Data Science into Practice: Emerging Role of AI in Research
Overview
The 2023 University Research Symposium was hosted by the Office of Research and Innovation in collaboration with the Research Leadership Academy and Data Science Academy. This symposium was focused on the topic of Putting Data Science into Practice: Emerging Role of AI in Research and featured a special guest speaker, panel focused on the AI Bill of Rights, faculty lightning round presentations, facilitated discussions and networking opportunities.
Faculty from across the university highlighted the many ways NC State’s research, teaching and outreach work address the impacts of data science and artificial intelligence.
The annual University Research Symposium aims to introduce researchers and scholars to one another — providing a space for them to explore opportunities for new partnerships and envision the future of research at NC State.
View the Livestream!
Agenda
Day #1 – Monday, March 27th
| Time | Description |
|---|---|
| 9:30 a.m. | Welcome to the University Research Symposium AI Resource Group Networking |
| 10:00 a.m. | Conversation about Foundational Ideas in Artificial Intelligence |
| 11:00 a.m. | Fireside Chat on Data Science and AI Special Guest: Ashok Srivastava, Senior Vice President and Chief Data Officer at Intuit |
| 12:00 p.m. | Highlighted Speakers – AI Focused Presentations/Lunch – Tiffany Barnes, Distinguished Professor, College of Engineering View Slides – Huiling Ding, Professor, College of Humanities and Social Sciences View Slides – Josh Gray, Assistant Professor, College of Natural Resources View Slides – Bill Rand, McLauchlan Distinguished Professor, Poole College of Management View Slides |
| 1:00 p.m. | Screening of Documentary: Coded Bias Documentary Introduction by Marsha Gordon, Professor + Director, Film Studies, College of Education If you missed the virtual watch party you can also screen “Coded Bias” documentary on Netflix. |
Day #2 – Tuesday, March 28th
| Time | Description |
|---|---|
| 1:00 p.m. | Panel: AI Bill of Rights – Helen Armstrong, Professor, College of Design – Julie Ivy, Professor, College of Engineering – Veljko Dubljevic, Associate Professor, College of Humanities and Social Sciences – Kevin Lee, Intel Social Justice and Racial Equity Professor of Law, NC Central University Moderated by Ray Levy, Executive Director, Data Science Academy |
| 2:00 p.m. | Lightning Round Faculty Presentations Schedule |
| 3:00 p.m. | PDU Overview of Data Science/AI Funding Opportunities – Pradip Pramanik, Executive Director – Molly Puente, Assistant Director of Life Sciences, Health and Agriculture View Slides |
| 3:30 p.m. | Lightning Round Faculty Presentations Schedule |
| 4:00 p.m. | NC State Collaborations – URS Facilitated Discussion |
| 4:45 p.m. | URS Closing Keynote/Discussant Dr. Heather Patisaul, RLA Chair-Elect and University Research Symposium Planning Committee Chair |
| 5:00 p.m. | URS Social |
URS Faculty Lightning Round Participants
- Benjamin Reading, Associate Professor, Department of Applied Ecology, CALS, “21st Century Biology: Machine Learning for Predictive Phenomics in Agriculture” View Slides
- Roland Kays, Research Associate Professor, Department of Forestry and Environmental Resources, CNR, “AI analysis of wildlife images – so much more than species ID” View Slides
- Phil Westmoreland, Professor, Department of Chemical and Biomolecular Engineering, COE, “Predicting GC-MS Calibration Factors Using a Neural-Net Model” View Slides
- Adriana San Miguel, Assistant Professor, Department of Chemical and Biomolecular Engineering, COE, “Machine learning-enabled analysis of neurodegeneration and stress” View Slides
- Paul Liu, Professor, Marine, Earth and Atmospheric Sciences, COS, ”How does the AI help our scientific writing?” View Slides
- Yingchen He, Assistant Professor, Department of Psychology, CHASS, “Revolutionizing Vision Research through Data Science and AI” View Slides
- David Lalush, Associate Professor, Joint Department of Biomedical Engineering, COE, “Deep Learning to Assist Neuroscience and Orthopaedic Research using Quantitative Multimodal Imaging” View Slides
- William Ditto, Professor, Department of Physics, COS, “Chaos Aware Artificial Intelligence – From Theory to Applications” View Slides
- Shawn Mankad, Assistant Professor in Analytics, Department of Business Management, PCOM, “Dimension Reduction Techniques for Text and Network Analytics” View Slides
- Hamid Krim, Professor, Department of Electrical and Computer Engineering, COE, “Data 2 Decision” View Slides
- Lokendra Pal, Associate Professor, Department of Forest Biomaterials, CNR, “AI-Enabled Hyperspectral Imaging for Real-time Analysis and Upcycling of Waste to Energy” View Slides
- Cheryl Xu, Professor, Mechanical and Aerospace Engineering, COE, “Dimensionality reduction of pyrolysis data for Electromagnetic (EM) absorption property” View Slides
Session 2:
- Meghan Manfra, Associate Professor, Department of Teacher Education and Learning Sciences, CED, “Assessing Computational Thinking in History Education” View Slides
- Robert Hayes, Associate Professor, Department of Nuclear Engineering, COE, “Optimizing system agility via ML data fiting” View Slides
- Warren Jasper, Professor, Department of Textile Engineering, Chemistry and Science, WCOT, “Mapping color spaces with machine learning” View Slides
- Thomas Theis, Assistant Professor, Department of Chemistry, COS, “AI processing of chemical analysis and molecular imaging data obtained from emerging quantum technology” Contact Dr. Theis to collaborate: ttheis@ncsu.edu
- Ghadir Haikal, Associate Professor, Department of Civil, Construction and Environmental Engineering, COE, “Physics-Informed Machine Learning Models for Complex Materials” Contact Dr. Haikal to collaborate: ghaikal@ncsu.edu
- Yang Zhang, Assistant Professor, Department of Textile Engineering, Chemistry and Science, WCOT, “Machine learning towards decoding single dye molecule behaviors” View Slides
- Edgar Oviedo, Professor, Prestage Department of Poultry Science, CALS, “Data Analytics in the Poultry Industry” View Slides
- Aram Amassian, Professor, Department of Materials Science and Engineering, COE, “Smart Robotic Platforms for Sustainable Generation of Big Data in Emerging Semiconductors” View Slides
AI Resource Groups
2023 University Research Symposium Planning Committee
- Heather Patisaul, Chair, Research Leadership Academy Member, College of Sciences
- Aram Amassian, College of Engineering
- Helen Armstrong, College of Design
- Huiling Ding, College of Humanities and Social Sciences
- Genevieve Garland, Office of Research and Innovation
- Laura Kroeger, Office of Research and Innovation
- Ray Levy, Data Science Academy
- Bill Rand, Poole College of Management
- Cranos Williams, Research Leadership Academy Member, College of Engineering
- Alyson Wilson, Research Leadership Academy Member, Office of Research and Innovation, College of Sciences