Dr. Amira Asfar

Assistant Professor

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Biography

Amira Asfar is an Assistant Professor in the Institute of Multilingual Communication at ZHAW Zurich University of Applied Sciences. She specializes in Human-Machine Communication and contributes to the fields of linguistics and communication studies. Amira has participated in various conferences and educational initiatives, focusing on innovative methodologies in multilingual environments. Her recent work includes co-authoring conference contributions that explore the use of reusable datasets in student theses, reflecting her commitment to advancing reproducible research in education. With a background in Linguistics and a Master's degree, she has been recognized for her contributions to the academic community, particularly in language education and applied linguistics. Amira's research interests are deeply rooted in enhancing the pedagogical approaches to language learning and the interaction between humans and machines in communication.

Research Interests

Experience

Research Assistant

2023-01-01 — Present

ZHAW Zurich University of Applied Sciences • Winterthur, Switzerland

Assisting in research projects related to Human-Machine Communication.

Assistant Professor

2020-08-01 — 2023-01-01

Taras Shevchenko National University of Kyiv • Kyiv, Ukraine

Teaching and conducting research in the fields of linguistics and communication.

Requirements for ZHAW Zurich University of Applied Sciences

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:83
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:5.5
Duolingo
Overall Score
Required:115
Overall
Required:115
Prerequisites
Bachelor's degree in a relevant technical or engineering field Letter of recommendation from a university lecturer
Application Checklist
  • Bachelor's degree certificate and transcripts
  • Curriculum Vitae (CV)
  • Motivation letter
  • Passport or ID card copy
  • Passport photo (JPG format)
  • Proof of English proficiency
Specialization Notes

This requirement applies generally to the Master of Science in Engineering and its specializations like Data Science, Computer Science, and Medical Physics.