Dr. Mark Wallace

Professor

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Biography

Professor Mark Wallace is a leader in discrete optimization at Monash University, having joined the institution in 2004. He graduated with a Bachelor of Arts in Mathematics and Philosophy from the University of Oxford, followed by a Master of Science in Artificial Intelligence from the University of London, and a PhD from the University of Southampton. His extensive research expertise encompasses techniques and algorithms focused on optimization, resource planning, and scheduling problems. He co-founded research in hybrid algorithms, particularly in Constraint Programming (CP) and its integrations. His contributions include developing the ECLiPSe platform for constraint programming, acquired by Cisco Systems in 2004. Since relocating to Australia, Wallace has promoted commercial applications of hybrid optimization software through Opturion, a company that specializes in optimizations in transportation logistics for major corporations. His teaching at Monash includes various units in the Faculty of Information Technology, where he emphasizes application-driven research supported by industrial partnerships. Wallace is also involved in multiple research projects, including the ARC Training Centre for Optimization Technologies and Integrated Methodologies.

Research Interests

Experience

Adjunct Professor

2004-01-01 — Present

Monash University • Melbourne, Australia

Teaching and research in discrete optimization and hybrid algorithms.

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.