Simeon Bamford

Neural and Neuromorphic Engineering and Machine Learning

I find both the study of neural systems and the discipline of engineering them fascinating.

I've worked from wet biology through prosthetic systems and neuromorphic sensors and processors to computational neuroscience and machine learning.

In particular, I've developed lots of know-how as a neuromorphic engineer, creating electronic circuits which in some way mimic computation in animals' nervous systems. These circuits, integrated on microchips, often using flows of electrical current to imitate the currents which flow through the nerve cells in our brains. I'm therefore skilled at mixed-signal (analogue, asynchronous digital) silicon chip design and test (VLSI - CMOS, CIS), as well as PCBs, FPGA logic and software from algorithms to applications.

As an entrepreneur and technologist, I've been involved in the commercialisation of neuromorphic vision sensors, also known as event cameras or dynamic vision sensors. This has taken me into dozens of commercial R&D departments and I've developed an unparalleled insight into the current attempts of many major companies to adopt neuromorphic technology.

I've also worked on cloud deployment (AWS) of deep learning models for natural language processing. I've therefore learnt Tensorflow, as well as Lambda serverless compute and Gremlin graph database. This high-level focus on practical applications of neural networks has complemented my understanding of their low-level properties.

Recently I've being doing further research into the applications of event-based perception, in the context of robotics. At IIT our robot is equipped with event-based sensors for both vision and touch. In particular I've been mixing 3D geometrical algorithms and deep learning models for perception.

I'm very curious to understand more about how our nervous systems allow us to function, and how our mental lives arise. I see huge potential in neural computation and in robotic technology to assist us and improve our lives.

Projects (past and present)

Key publications

(Further publications are listed in project-specific pages; see also google scholar)