With over 10 years of experience in research and development, Marco Volino is a passionate research scientist and engineer with expertise at the intersection of computer vision, computer graphics and machine learning. To date, Marco’s work has focused on advancing the capabilities of digital content production in collaboration with creative industry partners to facilitate high-quality immersive audio-visual media experiences. Marco’s work has primarily addressed challenges related to camera calibration, 3D reconstruction, pose estimation, animation, rendering, and immersive technology, such as virtual and augmented reality (AR/VR). Marco has significant experience in both hardware and software development, having designed, developed and deployed a range of synchronised camera systems, and is highly proficient in a number of programming languages, APIs, and development and software tools.

Hardware	Design/Develop/Deployment of synchronised camera arrays   PCB design/fabrication   Raspberry Pi-based projects
Programming	C   C++   C#   Python   javascript   OpenGL Shading Language (GLSL)   Matlab   Java   MySQL   PHP
Deep Learning Toolkits	Pytorch   Keras
Development Libraries	Boost   Eigen   OpenCV   OpenGL   OpenMP   OpenSceneGraph   STL
Development Tools	CMake   Eclipse   GIT   SVN   Visual Studio
Software	Agisoft Metashape   Alicevision Meshroom   AutoCAD   Blender   Maya   Microsoft Office   Natron   NUKE   Adobe Photoshop   Adobe Premier Pro   unity
Web	HTML   CSS   Jekyll/Liquid   WebGL
OS and Misc	Linux (Ubuntu)   Windows   Latex

Lecturer in Computer Vision and Computer Graphics University of Surrey, UK July 2021 - Present Research at the intersection of Computer Vision, Computer Graphics and Machine Learning with a focus on visual media production. Activities include: Leadership and contribution to project funding applications Provide guidance and mentorship to a team of PhD students, fostering a collaborative and innovative research environment Management and delivery of project objectives Teaching duties include: Module coordinator for “Computer Vision and Graphics” (Undergraduate) and “AR/VR and the metaverse” (MSc) Supervision and examination of undergraduate and MSc student projects Pastoral care of undergraduate and professional training year students Administrative duties include: Organisation of internal seminar program to promote an open research culture Serve as health and safety representative for specialised labs and early career researcher representative at university forums Provide effective line management of support staff (maternity cover)
Consultant Research Engineer Generative AI Startup March 2015 - May 2015 Designed, developed and deployed a portable synchronised audio-visual camera system for a generative AI startup focused on creating digital humans. Developed software tools to automatically compute camera calibration for use in 3D reconstruction. Documented and demonstrated the setup and operation of both hardware and software systems to intended users within company.
Research Fellow University of Surrey, UK January 2016 - June 2021 Undertook collaborative applied research projects with creative industry partners to address open challenges in media production leveraging computer vision, graphics and machine learning. Projects include: Polymersive: Immersive Video Production Tools for Studio and Live Events (InnovateUK) Photogrammetry Capture System: Designed and built 64 DSLR camera system for the capture of realistic avatars. ALIVE: Live action light fields for immersive virtual experiences (InnovateUK) REFRAME: Location Performance Capture for Real-Time Enriched Media (InnovateUK) Published results at leading conferences, workshops and journals (2xECCV, 1xICCV, 5x3DV, 2xIEEEVR)
Visiting Research Scholar University of Southern California, Institute for Creative Technologies, Los Angeles, USA June 2015 - September 2015 Built a photogrammetry system to create photo-realistic avatars using 100 Raspberry Pi and camera module devices Designed and developed hardware solutions for power distribution and networking to efficiently connect and power 100 Raspberry Pis
R&D Intern BBC R&D, London, UK January 2013 - April 2013 Integrated a novel rendering method into an existing WebGL-based free-viewpoint video renderer Gained hands-on experience in the preparation, set-up and operation of volumetric video capture studio
Technical Support Officer Intelligent Systems Research Laboratory, University of Reading, Berkshire, UK July 2010 – September 2010 Investigated the feasibility of using speech recognition library within a portfolio of projects Gained familiarity with speech recognition and training models used for speech recognition
R&D Placement Student Sony Broadcast and Professional Research Laboratories, Basingstoke, UK September 2008 – October 2009 Prototype development of a client/server application for the Forest Guards Wildfire Detection System presented at the United Nations Climate Change Conference (COP15) Research and development of methods for 3D view synthesis from 2D video for applications in sports broadcast Developed tools for load testing Sony Zirus digital signage software

PhD Computer Vision and Graphics University of Surrey, UK October 2011 - January 2016 Working with multi-camera volumetric video performance capture to produce realistic, controllable, virtual characters for applications in film, broadcast and game application. Published results at leading conferences, workshops and journals(1xEurographics, 1xBMVC, 1xCVMP, 1xWeb3D, 1xICMEW)
MEng Electronic Engineering - Distinction University of Surrey, UK September 2006 - June 2011 Awarded a first class masters degree in Electronic Engineering (MEng). Final year individual project: Video-based copyright detection. Final year Multi-Disciplinary Design Project: A feasibility study for a new desalination plant located in Singapore
BTec National Diploma Electrical/Electronic Engineering - Triple Distinction Richmond upon Thames College, London, UK September 2004 - June 2006 Awarded BTec National Diploma in Electrical/Electronic Engineering Level 3 (Triple Distinction). Free Standing Maths Qualification(FSMQ): Modelling with Calculus (B); Algebra and Graphs (A). City & Guilds Level 3 3D AutoCAD certificate