Research Group

PhD Students

1. Yaxiong Lei (2021-)

   • Dynamic gaze estimation on handheld mobile devices 

   • co-supervised with Dr. Mohamed Khamis from University of Glasgow. 

2. Yuheng Wang (2020 - )

   • Capture-Recapture Estimation, as a co-supervisor with Prof. David Borchers

3. Martin Schiemer (2020 - )

   • Lifelong learning

4. Ai Jiang (2018 - 2022) 

5. Filippo Abbondanza (2018 - ) 

   • Dissecting the genetics of complex human traits: language and handedness 

   • Co-supervisor, with Dr. Silvia Paracchini in Medicine and Prof. Andy Lynch in Statistics

6. Andrea Rosales (2017 - 2021) 

   • Domain adaptation in human activity recognition

7. Esma Mansouri Benssassi (2016 - 2020) 

   • Bio-inspired Multisensory Integration of Social Signals

8. Yuchen Zhao (2013 - 2017) 

   • Recommending privacy preferences in location-sharing services 

   • Co-supervisor, with Dr. Tristan Henderson

Visiting Students

1. Sheheryar Naveed, from Hong Kong University, funded by St Andrew's Laidlaw Scholarship. June 2019.

• • Dual-GAN to translate between images and acoustic samples

2. Matteo Zampatti, from University of Milan, working on a 6-month MSc project with us, September 2019 - March 2020.

• •  Privacy-preserving collaborative learning on human activity recognition

Selected MSc Projects

2019

1. Elise Callus: Lifelong Learning: Evolving Deep Neural Networks

   • Publication: Juan Ye and Elise Callus (2020). Evolving Models for Incrementally Learning Emerging Activities, IOS Journal of Ambient Intelligence and Smart Environments, accepted on 30 Mar 2020.

2018

1. Mengyuan Su: Transfer learning in human activity recognition

2. Peter Haubrick:  Classification of both single and simultaneous acoustic sound events from audio signals using CNN

• • Peter Haubrick and Juan Ye (2019). Robust Audio Sensing with Multi-Sound Classification. PerCom '19. 

Internships

1. Chris Tansey (2018): A web platform to support genomic data analysis

2. Chris Rauch (2017):  Personal face memory assistance to recognize acquaintance for visually impaired people

   • St Andrews Undergraduate Research Assistant Grant

3. Alex Wallar (2015): Boundary detection in image processing

   • Scottish Crucible Project

Final-year students

2017 

• Katerina Saranti: My thoughts - a multimodal diary recording platform 

• Haakon Brunstad: Machine learning on marine animal's behaviour recognition based on tagged accelerometer data

• Christopher O'Lenskie: Marine Animal Behaviour Recognition using Convolutional Neural Networks on Tagged Accelerometer Data

2016

•  Iveta Dulova: SensorCube: An end-to-end framework for conducting research via mobile sensing

  • Her project has won the best final year student at 10th BCSWomen  Lovelace Colloquium 2017. 

2015

• Lauren Murray: Capturing social cues in face-to-face conversation for the visually-impaired

2014

• Thomas Eddie: Behaviour change intervention for problematic mobile phone use in social situations

  • Presented at the International Workshop on Intelligent Attention Management on Mobile Devices, cohosted with MobileHCI 2015. Copenhagen, Denmark, 24th August 2015.

  • Paper is available at: [pdf]

• Valentin Tunev: Development of a platform for high throughput genomic analysis, collaboration with Dr. Silvia Parachini in the school of Medicine at the University of St Andrews

  • The software is accessible at [github]