Call for Papers

Please contact the symposium organizers with questions.

Development of materials, devices and systems that can intelligently and dynamically interface with biology are becoming increasingly important in designing biosensors and neuromorphic electronics. This symposium aims to find the common intersection of several topics some of which are already covered in separate sections at MRS. It is becoming well-known that traditional computing systems are unable to capture the efficiency of the brain in information processing. The computational primitives of biological neural networks on device and circuit level are the first step towards efficient neuromorphic computing systems that are able to analyze, interpret, perceive and act upon a dynamic, real-world environment. Thus, a new era of smart sensor and actuation applications is emerging with systems that perceive and interact with the world and efficiently couple with biological environments. Nevertheless, such intelligent agents also require novel algorithmic support in a co-design fabric. Allowing actual biological substrates to compute is an even longer-term approach to directly harness the biological level of computational efficiency.

In this symposium, the latest advancements of inorganic and organic materials for bio-inspired information processing bio-computation and biosensing will be covered. Emerging applications will be showcased in neuromorphic computing, sensing, actuation and nano-scale bio-interfacing along with recent advancements in algorithmic development. This symposium aspires to bring together world-wide experts in the fields of neuromorphic computing, bioelectronics and neuroscience in order to enhance transdisciplinary interactions and thus bridge the gaps between materials science, computing and neuroscience by initiating a dialogue around the proposed emerging topic.

Topics will include:

• Bio-inspired information processing
• Adaptive bio-interfacing
• Neural interface devices
• Memristive materials / devices at the interface with biology
• Nano-bioelectronics
• Systems neuroscience
• Algorithmic advances for neuro-inspired computing and smart sensing
• Algorithm-hardware co-design for neuro-inspired computing

Invited Speakers (tentative):

• Fabio Biscarini (University of Modena, Italy)
• Monica Burriel (Imperial College London, United Kingdom)
• Bianxiao Cui (Stanford University, USA)
• Shadi Dayeh (University of California, San Diego, USA)
• Regina Dittmann (Forschungszentrum Jülich GmbH, Germany)
• Julie Grollier (Centre National de la Recherche Scientifique, France)
• Daniele Ielmini (Politecnico di Milano, Italy)
• Seyoung Kim (Pohang University of Science and Technology, South Korea)
• Duygu Kuzum (University of California, San Diego, USA)
• Andreas Offenhaeusser (Forschungszentrum Jülich GmbH, Germany)
• Jennifer Rupp (Massachusetts Institute of Technology, USA)
• Alberto Salleo (Stanford University, USA)
• Xenofon Strakosas (Linköping University, Sweden)
• Benjamin Tee (National University of Singapore, Singapore)
• Kazuya Terabe (National Institute for Materials Science, Japan)
• Fabrizio Torricelli (Università degli Studi di Brescia, Italy)
• Ioulia Tzouvadaki (Ghent University, Belgium)
• Yoeri van de Burgt (Eindhoven University of Technology, Netherlands)
• Sheng Xu (University of California, San Diego, USA)
• Bilge Yildiz (Massachusetts Institute of Technology, USA)

Symposium Organizers