Zak Morgan

Zak Morgan
PhD student
Pronouns: he/him/his
[email address hidden]
Room: 3.05
UCLIC and Computer Science
169 Euston Road
London, NW1 2AE
United Kingdom


Zak is currently reseraching novel ways of using computer vision to visualise, measure and optimise mid-air ultrasound haptic feedback. His current work includes not only traditional cameras, but also high-speed and thermal cameras, in order to make up various imaging set-ups including schlieren imaging. He also works to support other academics in UCL and other research universities and bodies such as the Francis Crick Institute and the University of Roehampton London in tasks which require programming experience.

He is supervised by Dr. Youngjun Cho and Prof. Sriram Subramanian and is funded by the Royal Academy of Engineering Chairs in Emerging Technology Scheme (CiET1718/14).

Brief biography

Zak joined UCL in 2017 to study an undergraduate masters in computer science (MEng), which he graduated with first class honours, and as a member of the deans list. Following on from that he joined the Foundational Artificial Intelligence (FAI) Centre for Doctoral Training (CDT) in 2021 to undertake a PhD regarding mid-air ultrasound haptic feedback.

While undertaking his studies at UCL he has participated in many projects at UCL, including being a member of the UCL API development team in ISD, leading the team from 2019. He has also been a research assistant on the Collective Heartbeat project, and the Bentley Comfort AI project.

As well as his history in academia he has some limited industry experience working as a contractor for a small start-up as their lead-developer, developing their MVP. He also enjoys sports, primarily at this moment climbing, having been in the UCL society for almost 5 years, and being present on their climbing team representing the university in the 2021/2022 academic year and having served on the commitee in other years.

Research Publications

Zak Morgan, Youngjun Cho, Sriram Subramanian On Quick Measurement of Airborne Ultrasound Pressure Fields 2022 Conference paper (text)
Temitayo Olugbade, Youngjun Cho, Zak Morgan, El Ghani M Abd, Nadia Berthouze Toward Intelligent Car Comfort Sensing: New Dataset and Analysis of Annotated Physiological Metrics 2021 Conference paper (text)