Academic Visitors

Academic Visitors

• Prof. Nick Munro

  

  Personal details

  Prof. Nick Munro Visiting Professor

  Send email+44 (0) 7803 016527

  Location

  Level 1, Dyson Building
  25 Exhibition Road
  South Kensington
  London
  SW7 2DB

  Interests

  Nick Munro is interested in the design of products which deliver sustainability through elegance in form, efficiency in function and relevance in purpose. This applies to items ranging from new technology cutlery for airlines to innovative air quality monitoring systems for hospitals, hotels and commercial buildings.

• Dr Aidan Hogg

  

  Personal details

  Dr Aidan Hogg Honorary Research Associate

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  Location

  Dyson Building, 
  South Kensington Campus

  Research

  Aidan's research focuses on using deep learning to capture head-related transfer functions and, more generally, spatial acoustics and immersive audio. Aidan's research interests include speaker diarization and statistical signal processing for audio applications. More information about his current research projects can be found at: www.aidanhogg.uk.

• Dr Pengfei Mi

  

  Personal details

  Dr Pengfei Mi Honorary Research Associate

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  Location

  Office 205, Dyson Building, 
  South Kensington Campus

  Research

  Pengfei endeavours to translate the power of innovation from research into impactful outcome in the realm of enterprise, through collaboration with partners at German and Chinese universities. In addition, Pengfei works with Academic Services at Imperial to develop and deliver a series of seasonal school programmes, highlighting what Design Engineering can offer, such as creativity in design, design thinking, fast prototyping, and enterprising.

• Dr Ali Mohammed

  

  Personal details

  Dr Ali Mohammed Honorary Lecturer

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  Location

  Dyson Building, 
  South Kensington Campus

  Research

  Ali’s research includes the development and design of novel materials for additive manufacturing used in soilless cultivation, tissue engineering, medical implants and cancer biology. His research also includes the optimisation and design of advanced additive manufacturing techniques and technologies such as bioprinting and stereolithography.

• Laura Moradbakhti

  

  Personal details

  Laura Moradbakhti Honorary Research Associate

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  Location

  Dyson Building, 
  South Kensington Campus

  Research

  Laura's research focuses on integrating the support of basic psychological needs (autonomy, competence and relatedness) in technology design processes to foster user wellbeing and technology acceptance. She works closely with industry partners to improve their current design processes. Laura is also interested in understanding how basic psychological need frustration in technology interaction can lead to mental harm. Specifically, she is working on tools that can be applied by developers to assess whether their technologies can cause mental harm, for example by hindering users’ need for autonomy.

• Agnese Piselli

  

  Personal details

  Agnese Piselli PhD Student in Design at Politecnico di Milano

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  Research

  Project Title:
  Materials selection in the professional appliances industry

  Interests:
  - Materials Selection
  - Materials Experience
  - Sensory analysis test
  - University–industry collaboration

• Soheil Sarabandi

  

  Personal details

  Soheil Sarabandi PhD student in Mechanical Engineering, Polytechnic University of Catalonia

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  Research

  Project Title:
  Study and development of novel soft robots for dexterous manipulation and grasping

  Interests:
  - Kinematics and Robot Design
  - Manipulation
  - Geometric Registration
  
  

• Ali Shiva

  

  Personal details

  Ali Shiva PhD Student at King's College London

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  Research

  Project Title:
  Towards Soft Interaction: Active Haptic Perception in Soft Continuum Robots

  Interests:
  - Robotics
  - Dynamics
  - Control Engineering 
  - Morphological Computation

• Dr Antony Vamvakeros

  

  Personal details

  Dr Antony Vamvakeros Royal Society Industry Fellow

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  Location

  302B Dyson Building
  South Kensington

  Research

  Antony's research focuses on developing deep learning methods to accelerate chemical tomography for investigating functional materials and devices under operating conditions. He is also working on creating the next generation of X-ray powder diffraction computed tomography, employing newly developed self-supervised neural networks for tomographic reconstruction, data denoising, super-resolution, and fast data analysis.