Dr. Tian Yu Goh

Dr. Tian Yu Goh

Lecturer (Education-Focused)
HSW Chair ECSE
Department of Electrical and Computer Systems Engineering
Room 318, Woodside Building for Technology and Design, 20 Exhibition Walk, Clayton Campus

Dr. Tian is an Education-Focused Lecturer with the Department of Electrical and Computer Systems Engineering in the Faculty of Engineering at Monash University in Melbourne, Australia.

Recent research includes designing competency-based assessment to align with the Engineers Australia attributes for electrical common core units.

His research expertise lies in first year education, designing assessment at scale, and in digital health.

His previous research impacts the fields of health informatics, contextual modelling and pain management. Some previous work include the design and development of a clinical desicion support system for community health workers in collaboration with clinicians from The Alfred, where it bridged the gap between healthcare providers and rural populations, emphasizing preventive care and timely interventions. Other works include his doctoral thesis which introduced a high frequency contextual data collection approach and model which helped identify multidisciplinary factors influencing low back pain.

His interdisciplinary approach combines data science, patient-reported outcomes and clinical expertise, and extends beyond academia, as evidenced by collaborations with industry partners and usability studies of self-management apps.

He has a background in systems analysis, design and development; systems administration (Windows / Unix) and some experience in corporate management.

Qualifications

  • Doctor of Philosophy, Monash University

Awards

2026 Advance HE Fellowship
2025 MSA Innovative Teacher Award
2024 Dean’s Teaching Award for Programs that Enhance Learning
2024 Vice Chancellor’s Award for Programs that Enhance Learning (Special Commendation)

Research Interests

His research interests are in:

  • Authentic Assessment at scale for Engineering Education
  • Teamwork satisfaction and automation
  • Digital Health (Chronic or long-term management of conditions)

His current research includes:

  • challenges of large-scale education using scalable competency assessment
  • studying the impact of scaffolding in project based learning
  • generative AI use in engineering
  • using generative AI for student support and semi-automated feedback
  • creating optimal engineering student teams

Supervision interests

His current supervision interests include areas of:

  • first year education
  • team forming attributes, automation and student outcomes / satisfaction
  • health informatics / digital health

Supervision

Masters

Robert Robert
Social media analysis for understanding risk factors for low back pain
2021 to 2022

Undergraduate

Anusha Yadav, Hawa Husaini, Ryan Allan, Stanley Wu
Exploring the impact of Project Milestones on student outcomes
2025 to 2025

Jack Bellizia, Lucas Wee, Shivansh Chadda
How do students use generative AI to study?
2025 to 2025

Malitha Pathirage, Sona Hariharan
Understanding Factors that Contribute to Successful First-Year Student Project Teams
2026 to 2026

Hoang Do, Emma Sheedy, Tarandeep Singh, Ziyang Zhao
Understanding Engineering Students’ Engagement with the Special Consideration System
2026 to 2026

Akiva Franks, Hector Healy, Oliver Gordon, Ted Sheldon
Exploring the feasibility of UAV control systems on mobile ground-based hardware
2026 to 2026

Postgraduate

Ahmad Ridho, Weizuo Hou
Designing Evidence-Based Guidelines for the Use of Generative AI in Engineering Education
2026 to 2026

Teaching Commitments

  • ENG1013 - Engineering Smart Systems
  • ECE2071 - Systems programming
  • ECE2131 - Electrical Circuits
Last modified: 09/06/2026