Dr Pin Shen Teh

My profile

Biography

He has been teaching for more than a decade mainly at higher education institutions. He also has experience teaching students age 6-16 ICT and coding. His teaching focuses on programming and database subjects. His research interests include practical applications of machine learning, biometrics systems and metaverse. He is the pioneer of the ManMet Minecraft project and a Minecraft Certified trainer.

Academic and professional qualifications

Postgraduate Certificate in Learning and Teaching in Higher Education

PhD Computer Science

MSc Information Technology (by research)

BSc (Hons) Software Engineering

Prizes and awards

Digital Education and Development Award (Finalist), Educate North Awards (2024)

Teaching Excellence Award (Finalist), Manchester Metropolitan University (2023)

Teacher of The Year Award (Finalist), Student Union Manchester Metropolitan University (2022)

Course of the Year (Team), Student Union Manchester Metropolitan University (2022)

Teaching Excellence Award, Manchester Metropolitan University (2021)

Membership of professional associations

Senior Fellow of the Higher Education Academy (SFHEA)

Certified Management & Business Educator (CMBE)

Associate Certified Members of the Association for Learning Technology (Associate CMALT)

Projects

A Novel In-air Hand Gesture Signature Recognition using Bi-directional Recurrent Neural Network with Deep Convolutional Features in collaboration with Multimedia University Malaysia and Yonsei University South Korea (2021-2023)

Teaching

Undergraduate courses

  • Advanced Web Application Development
  • Structured Query Language
  • Web Application Development
  • Programming Fundamentals
  • Digital Business Technical Implementation
  • Business Technology Project

Postgraduate teaching

  • Data Management (SQL)
  • Synoptic Project

Courses

Supervision

I am interested to supervise PhD students in the following topic areas:

  • Applied Artificial Intelligence
  • Applied Metaverse

Current PGR Supervision

  1. Few-shot Learning for Human Activity Recognition and Anomaly Detection. PhD

Completed PGR Supervision

  1. Recognition of Abnormal Behaviour In Video Sequences (2020). MSc (by Research)

Research outputs

My current research focuses on practical applications of machine learning and metaverse in education. Other interests include: biometrics systems, natural language processing, computer vision and cybersecurity.