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AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY

Department of

Textile Engineering




Dr. Farial Islam Farha



Designation: Assistant Professor

Email: farial.te@aust.edu

Office Extension: 715

Room No: 15



Research Interests

  • High performance fiber/yarn/composite
  • Carbon nanotube based fiber/ yarn/ composites
  • Smart Textiles
  • Knitting
  • Weaving
  • Fabric structure and design

Educational Background

  • Ph.D, (Textile Engineering), Donghua University, Shanghai, China
  • Master of Science (MSc), (Textile Engineering (Fabric Manufacturing)), Bangladesh University of Textiles
  • Bachelor of Science (BSc), (Textile Engineering (Fabric Manufacturing)), Bangladesh University of Textiles

Honors and Achievements

  • Vice-Chancellor’s Gold Medal Award, Bangladesh University of Textiles, 2025
  • Outstanding International Student Scholarship Award, Donghua University, 2021
  • Hardworking Little Bee, Donghua University, 2021
  • Award for excellent performance, Donghua University, 2020
  • Excellence Award, Donghua University, 2019
  • Brilliant Performance Award, Microfiber group Ltd, 2012

Publications

Book Chapter
  1. Cotton in Weaving Technology, Cotton Science and Processing Technology, 2020, Springer. URL
Journal Article
  1. Superior Conductive, Large Diameter CNT Composite Yarn of Insulative Polymer: Inferences of a Unidirectional Compression-Stretching Technique, Journal of Polymer Science, 2024. URL
  2. Flexible, Quickly Responsive, and Highly Efficient Carbon Nanotube/Thermoplastic Polyurethane Composite Yarn for Multifunctional Wearable Devices, ACS Applied Polymer Materials, 2024. URL
  3. Incandescent annealing purification of carbon nanotube films with high efficiency and non-destructiveness, Surfaces and Interfaces, 2023. URL
  4. Interfacial modified unidirectional wheat straw/polylactic acid composites, Journal of Industrial Textiles, 2022. URL
  5. Super-strong CNT composite yarn with tight CNT packing via compress-stretch process, Nanoscale, 2022. URL
  6. Microstructural Tuning of Twisted Carbon Nanotube Yarns through the Wet-Compression Process: Implications for Multifunctional Textiles, ACS Applied Nano Materials, 2022. URL
  7. Light-weight strain sensor based on carbon nanotube/epoxy composite yarn, Journal of Materials Science, 2021. URL
  8. Influence of Ultraviolet Irradiation and Protease on Scale Structure of Alpaca Wool Fibers, Autex Research Journal, 2020. URL
  9. Highly stretchable electro-conductive yarn via wrapping carbon nanotube yarn on multifilament polyester yarn, Journal of Industrial Textiles, 2020. URL
  10. 3D textile structural conical conformal microstrip antennas for multifunctional flexible electronics, ACS Applied Electronic Materials, 2020. URL
  11. Compressive strength and thermal insulation properties of the 3D woven spacer composites with connected spacer yarn structure, Journal of Materials Science, 2020. URL
  12. Densely packed, highly strain sensitive carbon nanotube composites with sufficient polymer penetration, Composites Part A: Applied Science and Manufacturing, 2020. URL
  13. Highly Effective E-heating Performance of Nickel Coated Carbon Fiber and its Composites for De-icing application, Composite Structures, 2019. URL
  14. Compositional and Structural Influence on some Weft Knitted Fabrics Comprised of Cotton and Lyocell Yarn, Journal of The Institution of Engineers (India): Series E, 2019. URL
  15. Fibrous Impact on Several Primary Characteristics of 3-thread Fleece Fabric, AATCC Journal of Research, 2019. URL
  16. Efficacy of whip roller setting on physical attributes of denim fabric, Fashion and Textiles, 2017. URL
  17. Effect of Chemical Concentration on the Pre-treatment Performance of Cotton Woven Fabric, International Journal of Current Engineering and Technology, 2016. URL
  18. Effect of Knitted Structure on the Properties of Knitted Fabric, International Journal of Science and Research (IJSR), 2015.
  19. Visitation of Yarn Twist on Divers Properties of Cotton Knitted Single Jersey Fabric, International Journal of Current Engineering and Technology, 2015, INPRESSCO. URL
Conference Proceedings
  1. A promising approach to predict Areal Density of 1×1 Rib fabric using Mathematical and Fuzzy Inference Model, Sino-Africa International Symposium on Textiles and Apparel 2019, 2019.
Others