CV

Current Position

Lecturer in Video Game Development, College of Digital Arts (CoDA), Birmingham City University, August 2023 - Ongoing

Education

Ph.D Candidate in Graphics and Vision, DMT Lab, Birmingham City University, 2020 - March 2024

PG. Cert. in Research Practice, Birmingham City University, 2020 - 2021

B.Sc. (Hons) Sound Engineering and Production, first class, Birmingham City University, 2016 - 2019

Work experience - Projects

• WMCA Serrano: Vision-based Traffic Monitoring, DMT Lab, 2019
  • Developed a real-time vehicle detection application, based on YOLO-like object detection networks, aimed at gathering real-time statistics of traffic conditions at junctions of the West Midlands road network.
• Vehicle Detection on Edge Devices, DMT Lab 2019
  • Evaluated performance and feasibility of Amazon DeepLens AI-ready cameras, using AWS IoT Greengrass and Lambda web services to automate model deployment and collect real-time statistics from edge-devices via MQTT topics. Tested and measured the cameras performance on vehicle recognition tasks.

Skills

• Programming Languages
  • Python, C++, C#
• Deep Learning
  • Tensorflow, Keras, OpenCV, PyTorch
• Graphics
  • Unity, Blender, OpenGL, MeshLab

Publications

A Computer Vision-Inspired Automatic Acoustic Material Tagging System for Virtual Environments

Colombo, M., Dolhasz, A. and Harvey, C., 2020, August. A computer vision inspired automatic acoustic material tagging system for virtual environments. In 2020 IEEE Conference on Games (CoG) (pp. 736-739). IEEE.

A Texture Superpixel Approach to Semantic Material Classification for Acoustic Geometry Tagging

Colombo, M., Dolhasz, A. and Harvey, C., 2021, May. A texture superpixel approach to semantic material classification for acoustic geometry tagging. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-7).

Psychometric Mapping of Audio Features to Perceived Physical Characteristics of Virtual Objects

Colombo, M., Dolhasz, A., Hockman, J. and Harvey, C., 2021, August. Psychometric Mapping of Audio Features to Perceived Physical Characteristics of Virtual Objects. In 2021 IEEE Conference on Games (CoG) (pp. 1-4). IEEE.

Vision-based Acoustic Information Retrieval for Interactive Sound Rendering

Colombo, M., 2021, October. Vision-based Acoustic Information Retrieval for Interactive Sound Rendering. In 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 487-490). IEEE.

Acoustic Rendering Based on Geometry Reduction and Acoustic Material Classification

Colombo, M., Dolhasz, A., Hockman, J. and Harvey, C., 2022, August. Acoustic Rendering Based on Geometry Reduction and Acoustic Material Classification. In 2022 IEEE Conference on Games (CoG) (pp. 409-416). IEEE.

Past Teaching Experience

• Module Tutor for C++ Programming for Games, B.Sc. Computer Games Technology, Birmingham City University
  • Delivering theoretical and practical classes on 2D game development adopting Objected-Oriented Programming principles, teaching students to build, test and profile the performance of their games.
• Module Coordinator for Game Audio, B.Sc. Sound Engineering and Production, B.Sc Computer Games Technology, B.Sc Music Technology
  • Delivering content on implementations of audio interactions in game engines (Unity/UE5 + FMOD), tutoring groups of students collaborating across Sound Engineering and Production, Music Technology and Computer Games Technology UG courses.
• Demonstrator for Programming for Game Engines, B.Sc. Computer Games Technology, Birmingham City University
  • Assisting in theoretical teaching of core elements of game engines and graphics applications. The module requires students to build and test the performance of an engine based on OpenGL to render game scenes.