EDANA announces student grant recipients
Nonwovens organization EDANA has named the 15 students and researchers selected for the 2017 EDANA Nonwovens R&D Student Grant. The grants allow students to attend the Nonwovens Innovation Academy (NIA) held in Chemnitz, Germany in October.
This Student Grant initiative aims at encouraging the development of technical understanding and research in the nonwovens industries. The grants were awarded to the following 15 academics:
- Frederik Cloppenburg, head of research group nonwoven technology, Institute für Textiltechnik der RWTH Aachen University (Germany)
- Bahattin Düzenli, BSc candidate, Suleyman Demirel University (Turkey)
- Mohamed Elsharkawy, research assistant, National Research Center (Egypt)
- Ali Hassnain Farrukh, MSc E-TEAM, Ghent University (Belgium)
- Ben Golland, PhD student CDT Tissue Engineering & Regenerative Medicine, Institute of Medical & Biological Engineering (IMBE), University of Leeds (United Kingdom)
- Zuhaib Hassan, Phd student, Istanbul Technical University (Turkey)
- Vijay Kumar, Phd student, University of Borås (Sweden)
- Yolanda Leask, MA student, Textile and Surface Design, Weissensee School of Art (Germany)
- Maneesh Kumar Mishra, PhD researcher, ENSAIT-GEMTEX (France)
- Christian Möbitz, researcher, Institute für Textiltechnik der RWTH Aachen University (Germany)
- Kameswara Rao, PhD student, Indian Institute of Technology Delhi (India)
- Jessica Rickman, PhD researcher, Clothworkers Centre for Textile Materials Innovation for Healthcare, University of Leeds (United Kingdom)
- Sumit Sharma, PhD student, Indian Institute of Technology Delhi (India)
- Muhammad Umar, PhD researcher, The University of Manchester (United Kingdom)
- Pranil Vora, textile technology student, DKTE Textile & Engineering Institute (India)
The students will have the opportunity to showcase their projects through posters during the NIA event.
This story is reprinted from material from EDANA, with editorial changes made by Materials Today. The views expressed in this article do not necessarily represent those of Elsevier.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Nº 737882.
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