Dr. Thomas Cong

Assistant Professor

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Biography

Thomas Cong is a Postdoctoral Fellow specializing in Artificial Intelligence and Computational Neuro-oncology. He completed his PhD in Computer Science at the University of New South Wales, focusing on the preprocessing of histopathology images, specifically stain normalization and classification techniques. Cong has received several accolades, including the Norman Foo Memorial Research Paper Prize in 2023 and the RISING STAR award in 2024. His research interests encompass applying computer vision methodologies to enhance medical imaging tasks, with specific emphasis on stain normalization and class imbalance learning. Additionally, he has contributed to multiple research projects aimed at addressing computational challenges in digital pathology. Thomas has also engaged in academic roles, serving as a Tutor and Teaching Assistant at prestigious institutions. His rigorous academic training and innovative research endeavors place him at the forefront of advancements in machine learning applications within the medical field.

Research Interests

Experience

Postdoctoral Fellow

2024-01-01 — Present

Macquarie University • Sydney, Australia

Researching computational neuro-oncology with a focus on artificial intelligence applications.

Tutor

2023-06-01 — 2023-12-01

University of New South Wales • Sydney, Australia

Assisted in teaching and guiding undergraduate students with their coursework.

Teaching Assistant

2019-08-01 — 2019-10-01

Carnegie Mellon University • Pittsburgh, PA, USA

Provided support in assisting lectures and grading for courses in computer science.

Requirements for Macquarie University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:94
PTE
Listening
Required:58
Reading
Required:58
Writing
Required:58
Speaking
Required:58
Overall
Required:65
Prerequisites
Bachelor degree from a recognised institution Minimum 3 years full-time equivalent work experience at a managerial/professional level
Application Checklist
  • Official Academic Transcripts
  • Curriculum Vitae (CV)
  • Statement of Motivation
  • Evidence of Work Experience
Specialization Notes

Applied to Department of Business (MBA Program).