Dr. Lili Jiang

Associate Professor

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Biography

Lili Jiang is an Associate Professor at Umeå University in the Department of Computing Science, where she leads the Deep Data Mining Group. She is involved in various research projects focusing on Explainable AI and Trustworthy AI-systems. With a background in engineering, Jiang has been an influential figure in developing unbiased and impartial AI methodologies. Her commitment to academia is reflected in her education and extensive experience in the field of computing. Additionally, she teaches courses related to Machine Learning and Research Methodology. Beyond her academic pursuits, Jiang enjoys middle to long distance running, hiking, skiing, and road biking, with a personal marathon record of 3h19m27s achieved at the Berlin marathon in 2013.

Research Interests

Explainable AI Trustworthy AI Machine Learning

Experience

Associate Professor

2016-01-01 — Present

Umeå University • Umeå, Sweden

Works as Associate Professor and Director of Studies in the Department of Computing Science.

Requirements for Umeå University

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Writing
Required:20
Total
Required:90
PTE
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in relevant field At least 90 ECTS in the main subject area
Application Checklist
  • Bachelor's degree certificate
  • Transcripts of records
  • Proof of English proficiency
  • Copy of passport
  • Letter of Motivation (certain programs)
  • CV (certain programs)
Specialization Notes

Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.