Dr Anna Xambo Sedo

Profile

Dr Anna Xambó Sedó (she/her) is a researcher and an experimental electronic music producer. Her research and practice concern human-computer interaction (HCI), sound and music computing (SMC), new interfaces for musical expression (NIME), live coding, and web audio looking at designing and evaluating networked algorithmic spaces that support collaboration, participation, non-hierarchical structures and do-it-yourself (DIY) practices for SMC. She is currently the Principal Investigator (PI) of the UK Research and Innovation's (UKRI) Arts and Humanities Research Council funded project “Sensing the Forest: Let the Forest Speak using the Internet of Things, Acoustic Ecology and Creative AI" (2023-2025). She has also worked as the PI for the UKRI Engineering and Physical Sciences Research Council's Human Data Interaction Network Plus funded project “MIRLCAuto: A Virtual Agent for Music Information Retrieval in Live Coding” (2020-2021).

She is open to discussing new collaborations related to creative AI, with particular interest in generative audio of non-mainstream music genres, algorithmic sound-based music systems, and citizen science/DIY projects that aim to improve societal aspects of unprivileged communities through the use of sound-based music and acoustic ecology systems.

Since 2016, she has co-founded and taken leading roles in several organisations for promoting and improving the representation of women in music technology: Women in Music Tech (2016-17, Georgia Tech); WoNoMute (2018-2019, NTNU/UiO); WiNIME (2019-2022, NIME); and EECS Women in Higher Education Network (2024-, QMUL).

Teaching

Interactive Digital Multimedia Techniques (Postgraduate)

This is a Master's level course in developing real-time interactive digital media systems. The course will focus on graphics and sound programming, with a secondary emphasis on basic electronic hardware design for sensors and human-computer interfaces. The course will employ widely-used development environments including Arduino, Processing Max/MSP and Jitter, Processing. Course material will be delivered through a combination of lectures, interactive lab sessions, and individual/group exercises (both in and out of class). Generally speaking, each class period will consist of a combination of lecture and interactive lab session.

Digital Media Social Networks (Undergraduate/Postgraduate)

Online social networks and digital media services such as Facebook, twitter, Flickr, YouTube are changing the way we interact with the Internet and receive our news, content and recommendations. In this module, you will be introduced to the concepts around measurement, analysis, usability and privacy aspects of OSNs.

The module will bring together a number of studies from different measurement studies on the topic, designs for new systems, and the directions that such networks are taking with the new digital media plans. You will develop a deep understanding and analysis approach to learning specifically about Social Media and their properties.

Research

Research Interests:

See Anna Xambo Sedo’s research profile pages including details of research interests, publications, and live grants.