NBits Team

We are a team of scientists and engineers who are passionate about nature, technology, and anything that bridge them.

Huai-Ti lin

Lab head, Lecturer (US equiv. Assistant Professor) in Neural Engineering & Bio-robotics
Imperial College London, Department of Bioengineering, London, UK

Experience
Research Scientist, HHMI Janelia Research Campus, USA
Research Associate, HHMI Janelia Research Campus, USA
Postdoctoral Fellow, Harvard University, USA
PhD, Tufts University, USA
BS, UMass Amherst, USA

Email me: h.lin@imperial.ac.uk

Samuel Fabian

Postdoctoral associate

My research focuses on the visual control of insect flight behaviours, especially during predatory chases. I am interested in the control systems that guide predators during attacks and how animals balance competing navigational requirements (e.g. between hitting a target and avoiding an obstacle).

Daniel Ko

PhD student

My project investigates the signal encoding rules of visuomotor information.

Keywords: Dragonfly, vision, visual guidance and navigation, electrophysiology, visuomotor integration, software development.

Myriam uhrhan

PhD student

I am interested in the function and biomechanics of mechanosensors on insect wings. Insect flight requires a high temporal resolution of the sensors as the wing state changes rapidly during flight. I am using computational methods (CFD and FSI) to understand how mechanosensory feedback could contribute to flight control.

Rui Zhou

PhD student

My research focuses on the application and implementation of insect vision (as computational models) in machine vision, to develop bio-inspired low-cost visual navigation, guidance and control strategies for unmanned mobile systems.

Janka Kluge

Master project student

In my project I am developing an electrophysiological preparation to study a class of mechanosensor on the dragonfly’s wings. The work will contribute to the understanding of the neural representation of aeroelasticity.

SEan lim

Master project student

My project explores the effects of close proximity formation/swarm flying on UAS flight parameters derived through bio-inspired deep reinforcement learning.

Keywords: Deep reinforcement learning, bio-inspired, and swarm behaviour. 

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Matthew Cole

Master project student

Project: Machine learning for dragonfly behavioural analysis

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mingyi Wang

Master project student

Project: AI for natural history

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Kwyane Teo

Master project student

Robotics: a high-speed modular cable robot

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Ray Ng

Master project student

Miniaturisation of electrophysiology equipment: an electrode analyser in the pocket


Want to work with us?


Alumni

Joseph Fabian, Postdoc 2018 & 2019

Jill Ueng, MEng project student 2019

Adel Haddad, MEng project student 2019

Lukas Hann, UROP project student 2019

Xianglu Xiao, MSc project student 2018

Sumaya Rahman, MEng project student 2018

Shao-Tuan Chen, Visiting PhD student 2018

Areg Nzsdejan, UROP project student 2018

Julie Zhang, Summer intern student 2018

Hannah Hashem, Summer project student 2018

Jack McKeon, Summer project student 2018

Linnea Evanson, Summer project student 2018