Doug Tilley

Doug Tilley

PhD Candidate in Artificial Intelligence at the University of Bath

About Me

Hi, I’m Doug Tilley, a third-year PhD candidate at the Accountable, Responsible and Transparent Artificial Intelligence Centre for Doctoral Training, University of Bath, UK. Under the supervision of Dr. Uriel Martinez-Hernandez, my research focuses on human-robot collaboration. Before embarking on my PhD journey, I contributed to meteorological research at the University of Bath, where I worked on UAVs to study the microelectrical properties of clouds.

Education

  • PhD Candidate, Artificial Intelligence
    University of Bath, UK
    • Focus: Human-Robot Collaboration
    • Current Research: Developing soft wearable exoskeletons to assist postural transitions in stroke patients.
  • Integrated Master’s in Robotics
    Plymouth University
    • Focus: Sensor Fusion and Multimodal Perception for Robotic Control

Research Interests

As a multidisciplinary robotics researcher, I am passionate about exploring a wide range of topics in machine learning and robotics. My areas of expertise include:

  • Hierarchical Control of Soft Wearable Robots: Creating innovative control strategies for next-generation wearable devices. (University of Bath)
  • Human-Robot Collaboration: Enhancing interactions between humans and robotic systems. (University of Bath)
  • Lightweight Neural Networks: Designing efficient models for constrained devices. (University of Bath)
  • TinyML Implementing complex Neural Networks on Edge Devices. (DotResearch Ltd)
  • Computer Vision Architecture Development of advanced efficient computer vision models. (DotResearch Ltd)
  • UAV Design Novel UAV deployment in extreme environments. (DotResearch Ltd)

In addition to my primary focus, I also maintain a keen interest brain-computer interface technologies, Humanoid robots and VR/XR technologies.

Professional Experience

I co-founded DotResearch Ltd, a company that combines wildlife videography with conservation efforts. At DotResearch, we harness computer vision, TinyML, and novel sensor development to support and advance wildlife conservation.

During my research internship at the National Institute for Informatics, Tokyo, I conducted research into neuromorphic architectures, explainable generative models, and neural network optimizers. My work focused on leveraging biological principles to develop more efficient and interpretable AI models, and I collaborated with a diverse team of researchers to push the boundaries of neural computation.

At Tianjin University, I led a multimodal research study involving 25 participants using 6 different sensor modalities to monitor human ambulatory modes. This project provided significant insights into the integration of diverse sensor data to understand human mobility and contributed to the development of advanced wearable and assistive technologies.

Personal Interests

Outside academia, I enjoy a variety of hobbies, including:

  • Field Hockey
  • Rock Climbing
  • 3D Printing and Prototype Development

I continuously seek out new challenges and opportunities to blend my passion for technology with real-world applications.