Background and Expertise
About
Dr. Mitch Parry joined the computer science faculty at Appalachian State University in 2012 after spending five years as a postdoc in the Department of Biomedical Engineering at Emory University and Georgia Tech working on projects involving imaging, visualization, biomarker discovery and quality control. He has become an expert in applying computational techniques to problems in music, chemistry, biology, biomedical informatics and other fields.
Parry particularly enjoys interdisciplinary projects with peers in the arts and sciences. One of his research areas focuses on separating underlying source signals from mixed-sensor recordings. He collaborates with Dr. Rahman Tashakkori on the investigation of honeybee colony collapse in creating a hive monitoring system to obtain audio/video recordings to better understand honeybee behavior. He also has contributed to social media research by collaborating with Dr. Sarah Beth Hopton on data mining of Facebook posts to better understand how stakeholders relate to non-profit organizations.
Areas of expertise
- Machine learning
- Data mining
- Image processing
- Music informatics
- Computer graphics
- Artificial intelligence
- Computer science education as a complement to any field
Education/Academic qualification
Computer Science, Ph.D., Georgia Institute of Technology
Computer Science, M.S., Georgia Institute of Technology
Computer Science, B.S., University of Virginia
Research Interests
- Machine learning
- Data mining
- Image processing
- Music informatics
- Computer graphics
- Artificial intelligence
- Computer science education as a complement to any field
Disciplines
- Computer Sciences
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Bee Traffic Estimation with YOLO and Optical Flow
Dickson, R. T., Parry, R. M., Campell, C. & Tashakkori, R., 2024, SoutheastCon 2024. Institute of Electrical and Electronics Engineers Inc., p. 928-933 6 p. (Conference Proceedings - IEEE SOUTHEASTCON).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Non-Invasive Spectral-Based Swarm Detection
Campell, C., Parry, R. M. & Tashakkori, R., 2023, SoutheastCon 2023. Institute of Electrical and Electronics Engineers Inc., p. 253-260 8 p. (Conference Proceedings - IEEE SOUTHEASTCON; vol. 2023-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Estimating the Number of Drones at the Entrance of a Honey Bee Hive using Machine Learning Tools
O'Brien, W., Tashakkori, R., Parry, R. M., Hamza, A. & Graber, J., 2022, SoutheastCon 2022. Institute of Electrical and Electronics Engineers Inc., p. 397-404 8 p. (Conference Proceedings - IEEE SOUTHEASTCON; vol. 2022-March).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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BeePhon: A Web-Application for Beehive Audio Exploration
Craig, L. M., Parry, R. M., Tashakkori, R. & Watts, I., Apr 2019, 2019 IEEE SoutheastCon, SoutheastCon 2019. Institute of Electrical and Electronics Engineers Inc., 9020475. (Conference Proceedings - IEEE SOUTHEASTCON; vol. 2019-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Saving the sea, socially: measuring the relationship between content and gesture on Facebook
Hopton, S.-B., Parry, R. M. & Parry, M., Mar 22 2017, In: Communication Design Quarterly Review. 4Research output: Contribution to journal › Article › peer-review