6:32 p.m.
*Title:
Neural Networks in Optical Sensors - a revolution in how sensors are built and used
*Abstract:
In this talk, we will discuss two different types of optical sensors based on
luminescence: one is used for oxygen sensing type sensors, and the other is an «optical
nose» for fingerprinting of substances.
The problem of these types of sensors is that the measured signal is influenced by many
components (like mirrors, lasers, electronics). Unfortunately these dependencies cannot be
modeled mathematically in a simple way. So typically, complicated and empirical
mathematical models are used, which are then fine tuned for each sensor in what is called
calibration. But do we need to model those effects? Or there is another way?
We will describe how the use neural networks can dramatically change how to build and use
these sensors, without the need for any complicated mathematical model. Introducing neural
networks in optical sensors typically does not require deep networks. However, there are
several aspects that are very different from classical neural networks models which will
be discussed here: one example overall is overfitting, that in this case requires
completely different approaches to be dealt with.
We will bring at the talk a prototype of a portable, low-cost sensor that we are currently
developing at TOELT to demonstrate how a low-cost sensor can be built and used.
*Speakers:
- Umberto Michelucci studied physics and mathematics and received its master from the
University of Florence (Italy). He gained research experience at the George Washington
University (USA) and the University of Augsburg (DE). He is an expert in numerical
simulation, statistics, data science and machine learning. His is author of the books
“Applied Deep Learning – A Case-Based Approach to Understanding Deep Neural Networks” and
“Advanced Applied Deep Learning - Convolutional Neural Networks and Object Detection”. He
is a lecturer at the University of Applied Sciences (Switzerland) on Deep Learning and
Neural Networks Theory and Applications. He is a co-founder of TOELT LLC, a company aiming
to promote research and education in AI and is a “Google Developer Expert” in Machine
Learning. He is also a Google Developer Expert and gives lectures and training
internationally together with Google on Machine Learning.
- Francesca Venturini received her Ph.D. in physics from the Technical University of
Munich (Germany) in 2003. From 2003 to 2013 she gained practical experience in industrial
research and development. In 2013 she joined the Institute of Applied Mathematics and
Physics of the Zurich University of Applied Sciences (Switzerland), where she is a full
professor of applied optics. Additional to teaching, she works in applied research in
close contact with industrial partners. Her research interests are the field of optical
sensing, with focus on luminescence spectroscopy and tunable-diode laser absorption
spectroscopy. She is a co-founder of TOELT LLC, a company aiming to promote research and
education in AI.
*Date:
Thursday, 14th of November 2019, 12:00-13:00
*Location:
Manno, Galleria 1, 2nd floor, room G1-201
*Doodle registration:
Pizza (or alternative food) and drinks will be offered at the end of the talk. If you plan
to attend the lunch, please register in a timely fashion (meaning at the latest at 9AM of
the same day of the talk) at the following link so that we will have no shortage of food.
https://doodle.com/poll/v48ze5eqaqr5ndqt <https://doodle.com/poll/v48ze5eqaqr5ndqt>
If by any chance, after registering for a Pizza at the link above, you know you will not
be able to attend the lunch, please cancel your registration asap.