Dr. Sicily Fung Ting

Assistant Professor

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Biography

Sicily Fung Ting is a lecturer at the School of Information Technology, Monash University, focusing on the intersection of deep learning, biomedical engineering, and medical image analysis. She obtained her Doctor of Philosophy in Engineering from Multimedia University in 2020, with a dissertation centered on breast cancer classification using deep neural networks. Her research has been recognized, winning the World Summit Information Society Prize in 2020 for her project on AI in medical imaging. With a robust academic background that includes a Master of Engineering Science and a Bachelor of Engineering (Honors) in Electronics, Ting has contributed significantly to her field through various publications in notable journals. Her research interests extend to computer-assisted detection systems and telehealth solutions, aligning with modern healthcare challenges. Ting is also actively involved in teaching courses related to algorithms, data science, usability, and artificial intelligence, contributing to the academic development of her students while mentoring PhD candidates in cutting-edge research projects.

Research Interests

Experience

Consultant (Software Engineering)

2019-01-01 — 2020-02-01

Choy Engineering (Soon Seng) Sdn Bhd •

Graduate Research Assistant

2017-06-01 — 2019-01-01

Multimedia University •

Research Scholar

2015-01-01 — 2017-01-01

Telekom Malaysia Research Development •

Awards

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Champion Award

2020-01-01
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Champion Award

2019-01-01
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Highly Commended Award

2018-01-01
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Merit Award

2017-12-01

Courses

FIT1045 - Algorithms Programming Fundamentals FIT1043 - Introduction to Data Science FIT3175 - Usability FIT3080 - Artificial Intelligence

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.