Dr. Chuan He

Assistant Professor

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Biography

Chuan He is an Assistant Professor at Linköping University, with a focus on applied mathematics and optimization. His research interests lie primarily in continuous optimization, machine learning, and data science. Chuan's work emphasizes the development of advanced methodologies in deep learning, decentralized optimization, and large-scale optimization. He is particularly interested in applying machine learning techniques to healthcare, scientific computing, and engineering solutions. Before joining Linköping University, Chuan completed his PhD in Industrial Systems Engineering at the University of Minnesota under the guidance of Professor Zhaosong Lu. He also holds a Bachelor’s degree from Xiamen University, where he studied under Professor Wen Huang. Chuan has actively participated in numerous conferences, presenting his work on various optimization strategies and publishing articles in several esteemed journals, highlighting his significant contributions to the field of optimization and machine learning.

Research Interests

Experience

Assistant Professor

2024-09-01 — Present

Linköping University • Linköping, Sweden

Assistant Professor in Applied Mathematics, focusing on optimization and machine learning.

Postdoctoral Associate

2023-10-01 — 2024-07-01

University of Minnesota • Minneapolis, USA

Postdoctoral research in Computer Science Engineering, mentored by Professor Ju Sun.

Requirements for Linköping University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree with a major relevant to the program At least 30 ECTS credits in mathematics/applied mathematics and/or application of mathematics
Application Checklist
  • Certificates and diplomas from previous university studies
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport/ID
  • Syllabus for relevant courses
Specialization Notes

Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.