IEEE Switzerland Annual General Assembly 2018

The Wyss Center is delighted to host the Annual General Assembly of the IEEE Switzerland Section at Campus Biotech, Geneva on 25th of April 2018

Engineering neurotechnology for the benefit of humanity


16:00 Claude Clement, CTO, Wyss Center – How to build brain-computer-interfaces of the future

16:30 Catherine Dehollain, Director RFIC Group, EPFL – Remote power and data communication dedicated to implanted medical devices

17:00 Haig A Peter, Senior Executive Consultant, IBM Research THINKLab – Cognitive computing: How will Generations Z and Alpha use advances in AI and neuromorphic computing?


14:00 – 14:30            Arrival

14:30 – 15:45            Annual General Assembly (IEEE members only)

16:00 – 17:30            Presentations from invited speakers (open to all)

17:30 – 19:30            Apéro, tour of facilities, visit to interactive exhibition (open to all)


The event is now full

If you have registered but can no longer attend, please email:

Chair of IEEE Switzerland, or Secretary of IEEE Switzerland,

Practical information

Getting to Campus Biotech

On arrival, please collect your security pass and name badge from the table beside the main Campus Biotech reception.

The Annual General Assembly 2018 of IEEE Switzerland will be chaired by Dr. Maria-Alexandra Paun (Chair of IEEE Switzerland). She will welcome guests and open proceedings at 14:30, by giving introductory words and the program of the meeting. She will then give a presentation during the official part of GA 2018 (IEEE members only, from 14:30-15:45) on the activities of IEEE Switzerland in 2017. She will later introduce the three invited speakers and manage the questions.

Abstracts and biographies

How to build brain-computer-interfaces of the future

Claude Clement, CTO, Wyss Center

The Wyss Center, a non-profit, translational neurotechnology organisation, works alongside academic researchers and industry partners to accelerate the development of neurotechnology research concepts into practical clinical solutions.

From brain computer interfaces for movement disorders to minimally invasive solutions for epilepsy monitoring and tinnitus, this presentation will give an overview of the neurotechnology projects underway at the Wyss Center and the engineering challenges involved in developing long-term implantable devices.


Claude Clément joined the Wyss Center as CTO in early 2015. He has been founder, chairman or board member of several start-ups and small businesses. He holds a Masters in Electrical and Electronic Engineering from the Swiss Federal Institute of Technology (EPFL) in Lausanne and an MBA from HEC at the University of Lausanne (Switzerland).

Claude started in R&D for the watch industry (Swatch Group) as head of the transducers and actuators development group. He entered the world of medical technologies by heading the diversification activities of Swatch in the field of wearable programmable drug delivery pumps.

He then spent 23 years in the field of active implantable medical devices, as Director of Manufacturing Engineering at Intermedics (now Boston Scientific), as Plant Manager of the Swiss operations of Medtronic and later as a consultant for major companies, mainly in the field of pacemakers and for various innovative start-ups.

Starting in 1996, he put in place and ramped-up the highly automated factory of Medtronic in the Lake Geneva area. This plant is the world’s largest site for the assembly of active implantable medical devices, producing more than 2,000 pacemakers, defibrillators and neuro-stimulators per day. Until 2014, he was CEO of MyoPowers, a start-up company developing an electromechanical implant to treat severe incontinence.

Remote power and data communication dedicated to implanted medical devices

Catherine Dehollain, Director RFIC Group, EPFL

In the case of implanted medical devices, it is important to design an implant which can be remotely powered by the external base station through (e.g.) near-field inductive coupling in order to avoid surgery to replace the battery. Moreover, the implanted medical device needs to exchange key information with the external base station through radio frequency communication. These two aspects will constitute the main objectives of this talk. Examples dedicated to an implanted brain interface as well as to the monitoring of a small rodent in a cage will be presented.


Professor Catherine Dehollain is Adjunct Professor at EPFL Lausanne since September 2014. She received the Master degree in electrical engineering and the Ph.D. degree from EPFL in 1982 and 1995 respectively. From 1982 to 1984, she was a Research Assistant at the Electronics Laboratories (LEG), EPFL. In 1984, she joined the Motorola European Center for Research and Development, Geneva, Switzerland, where she designed integrated circuits applied to telecommunications. In 1990, she returned to EPFL as a Senior Assistant at the “Chaire des Circuits et Systèmes” to perform his PhD thesis in the domain of impedance broadband matching electric filters. Since 1995, she has been responsible for the EPFL RF IC Group for RF activities. She has been the technical project manager of the European projects, Swiss CTI projects, and the Swiss National Science Foundation projects dedicated to mobile phones, RF wireless micropower sensor networks, and biomedical applications.

Since 1998, she has been a Lecturer at EPFL in the area of RF circuits, electric filters, and CMOS analog circuits. In 2005, she has founded with Professor Franco Maloberti (University of Pavia) the international conference PRIME, dedicated to PhD Research in Microelectronics and Electronics, which is sponsored by IEEE. From 2006 to 2014, she was a Maître d’Enseignement et de Recherche (MER) at EPFL. She is an author or coauthor of six scientific books and of 180 scientific publications. Her research interests include low-power analog circuits, biomedical remotely powered sensors, and electric filters.

Cognitive computing: How will Generations Z and Alpha use advances in AI and neuromorphic computing?

Haig A Peter, Senior Executive Consultant, IBM Research THINKLab 

Over the past several decades we have witnessed vastly expanded use of IT capabilities – from specialized applications for the ultra-skilled few to ubiquitous services available pervasively, usable by all.

The world of computing has also radically changed, evolving from the client-server era to personal computing to the advent of the Internet, to mobile, cloud, and now an artificial intelligence (AI) era.

We are moving from a history of programmable IT to one in which IT begins to understand, reason, and learn. In our lifetimes we have seen the rise of Internet banking, cellular communications, mobile payments, GPS navigation, video streaming, social media, and online retail sales, all of which have dramatically changed the way we work, transact, and interact. This all might lead one to suspect that the most interesting technology advancements are behind us. We don’t believe that to be true. In fact, we expect continued technology advancements to produce revolutionary changes to our society along five key themes:

1. AI Everywhere: Soon AI will permeate every discipline and all industries, from finance to education to healthcare, driving up productivity and enabling brand new opportunities.
2. Deeper Insights: New technologies will be able to sense, analyze, and understand things never before possible.
3. Reimagined Engagement: New forms of human-machine interaction and emerging technologies such as blockchain, conversational bots, and new AI modalities are transforming how individuals engage with one another.
4. Personalization at Scale: Personalization will be implemented with an unprecedented level of contextual relevance, detail, and scale, considering the immediate situational variables of the individual.
5. Emerging architectures: Emerging architectures such as neuromorphic computing and quantum computing inspired by the natural world will enable answers to previously unsolvable problems. Neuromorphic systems attempt to mimic how the brain computes and extend the classical Von Neumann computer architecture with the ability to bring computation close to the data.


Haig A. Peter is a Senior Executive Consultant and AI – Cognitive Computing Ambassador at IBM Research – Zurich having joined the IBM Corporation in 2000. As an AI – Cognitive Computing Ambassador for IBM Research, Haig meets regularly with clients from various industries to discuss the tremendous strides in cognitive computing and artificial intelligence to help manage the huge increase in both structured and unstructured data, whether from internal or external sources. It presents a huge opportunity to use Watson and cognitive computing to access data, to identify patterns and to develop business and industry insights that benefit clients. Haig has been an invited keynote speaker at many conferences around Europe on the topic AI – cognitive computing, and the IBM Research Technology Vision which identifies significant technology trends and identifies high- impact disruptive technologies leading to game-changing products and services over a 3- 5-year horizon.


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