Warren Jasper

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Bio

Dr. Jasper has been interested in real-time data acquisition and control since his undergraduate days when he measured the variation the earth’s gravity due to the tides. Although he has worked in the aerospace industry designing spacecraft altitude and control systems, he currently designs data acquisition and control systems for textile processes. His research interests include measurement and control of dyeing, plasma textiles for nanoparticle filtration, and writing Linux device drivers which can be found at https://github.com/wjasper/Linux_Drivers. In 2014 he was the recipient of a Fulbright grant in engineering education to promote study abroad for undergraduate textile engineers.

Research

• Real-time monitoring and control of the batch dyeing process
• Filtration: electret filters and plasma textiles.
• Real-time defect detection in woven fabrics
• Real-time measurement and characterization of yarn using wavelets

Teaching

• TE 205 – Analog and Digital Circuits ,
• TE 302 – Textile Manufacturing and Systems II (Fabric forming systems) ,
• TE/CHE 435 – Process Systems Analysis and Control ,
• TE 535 – Lean Six Sigma Quality ,
• TE 505 – Instrumentation and Measurement

Additional Information

Accomplishments

• Gertrude M. Cox Award for Innovative Excellence in Teaching and Learning with Technology, 2009-2010
• Fulbright Specialist award 2014 & 2019
• Jefferson Science Fellow, National Academies of Science, Engineering, and Medicine 2020
• Academy of Outstanding Faculty in Extension and Engagement 2019
• Outstanding Engagement Award 2019

Google Scholar

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Area(s) of Expertise

Sustainability
Technical/Electronic Textiles/Wearables
Textile Engineering

Publications

• A Controlled Study on Machine Learning Applications to Predict Dry Fabric Color from Wet Samples: Influences of Dye Concentration and Squeeze Pressure , FIBERS (2025)
• A review of the evolution and concepts of deep learning and AI in the textile industry , Textile Research Journal (2025)
• A review of deep learning and artificial intelligence in dyeing, printing and finishing , Textile Research Journal (2024)
• A review of deep learning within the framework of artificial intelligence for enhanced fiber and yarn quality , Textile Research Journal (2024)
• A theoretical model to investigate the performance of cellulose yarns constrained to lie on a moving solid cylinder , Cellulose (2020)
• A generalized variational approach for predicting contact angles of sessile nano-droplets on both flat and curved surfaces , JOURNAL OF MOLECULAR LIQUIDS (2019)
• An Application of Lean Six Sigma in Cotton Yarn Dyeing , AATCC Review (2019)
• Incorporating wireless data acquisition into the STEM Curriculum: A case study with Lean Six Sigma , 2019 ASEE Southeastern Section Conference (2019)
• Plasma textiles as fibrous filter media , Fibrous Filter Media (2017)
• Real-time dyebath monitoring of reactive dyeing on cationized cotton for levelness control: part 2-effects of leveling agents and dye dosing , CELLULOSE (2017)

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