Regular Track Invited Speakers

Track 1: Emerging Materials

Polytechnique Montreal, Canada

Ultra-high conductivity Sepia melanin ink films for environmentally benign electronics

Melanins (from the Greek μέλας, mélas, black) are bio-pigments ubiquitous in flora and fauna. In the melanin family, eumelanin is an insoluble brown–black type, found in vertebrates and invertebrates alike, among which Sepia (cuttlefish) is noteworthy. Sepia melanin is a type of bio-sourced eumelanin that can readily be extracted from the ink sac of cuttlefish. Eumelanin features broadband optical

TRACK 2: ADVANCED MANUFACTURING OF PRINTED AND FLEXIBLE ELECTRONICS

National Technology University of Singapore, Singapore

Artificial Senses Technology

Artificial senses refer to the emulation of human’s basic senses and assimilate them to functional devices and systems to help us understand and perceive the world around us. This research topic of artificial senses is transdisciplinary and lies at the confluence of materials science, bioengineering, medical sciences, electrical engineering, and computer science. Some use cases, including enhanced

TRACK 3: PHYSICAL SENSORS AND SMART SYSTEMS

TRACK 4: BIO- AND CHEMICAL SENSORS

TRACK 5: ENERGY HARVESTING AND STORAGE

TRACK 6: GREEN AND LOW-POWER ELECTRONICS

TRACK 7: HYBRID INTEGRATED SYSTEMS, THIN CHIPS AND PACKAGING

TRACK 8: RELIABILITY, SIMULATION AND MODELLING

TRACK 9: PRINTED SMART TAGS AND COMMUNICATION DEVICES

VTT, Finland

Flexible and Transparent Solutions for Sensing Electronics and Electromagnetics

Flexible substrates and methods of attaching components as a roll-to-roll process have made it
possible to implement fully flexible and conformable electronic devices. Wireless connectivity
together with wireless charging of battery enable such structures e.g. to be overmolded with
elastomers to provide hermetic seal. As an alternative to conventional flexible substrates such as
polyimide, nan

Track 10: Emerging APPLICATIONS

Harvard University, USA

Soft and flexible bioelectronics for brain-machine interface

Large-scale brain mapping via brain-machine interface is important for deciphering neuron population dynamics, understanding and alleviating neurological disorders, and building advanced neuroprosthetics. Ultimately, brain mapping aims to simultaneously record activities from millions, if not billions, of neurons with single-cell resolution, millisecond temporal resolution and cell-type specificit

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