[세미나] 2017년 재스위스한인과학기술자협회 세미나 공지

Dongho Kang
2017-12-15 09:39
안녕하세요. 취리히공대 한인학생 여러분.

재스위스과학협회에서는 2014년부터 매년 취리히에서 한인 과학자분들을 모시고 세미나를 개최하고 있습니다.

올해도 다양한 분야의 연사분들이 강연을 준비해주셔서, 학생 여러분들과 지식을 나누는 귀중한 시간을 가질 수 있게 되었습니다.

지난번 공지해드린대로 오는 12월 16일 오후 2시부터 5시까지 취리히공대 메인빌딩(HG) F 26.5 에서 세미나를 진행하기로 하였습니다. 세미나는 연사 한분당 20분, 질의응답 10분으로 진행할 예정입니다.

시간이 한시간 앞당겨졌으니 착오없으시길 바랍니다.

세미나가 끝난뒤에는 취리히공대 CLA 빌딩 Asia Mensa 로 이동하여 1시간 여의 티 타임을 갖고 오후 6시부터 레스토랑 Al Forno에서 저녁 식사를 할 예정입니다.

6시 이후에 합류하시는 분들은 Al Forno (Universitatstrasse 40, 8006 Zurich)로 오시면 되겠습니다. 점원에게 이준승(Lee) 이름을 말씀하시면 별채로 안내해주실 겁니다.

연사분들의 명단과 세미나의 초록을 아래에 첨부해드립니다.

1. 김병수 박사과정 (ETH Zurich, Computer Graphics Laboratory)

Title: Introduction to Physics-Based Simulation in Computer Graphics

Physics-based simulations for various natural phenomena such as smoke, explosions or water are by now crucial tools for special effects used in the film, game and simulator industry. In this talk, I will outline physics-based simulations, as well as their widespread applications in the broad spectrum of visual computing discipline.

2. 이미연 박사 (ETH Zurich, Institute for Biomechanics)

Title: Exploitation of Electrostatic Interactions between Anionic Biopolymers and Cationic Nanoparticles for Enhanced Properties of Bioprinted Tissue Constructs

첨부파일 참조

3. 기동근 박사 (University of Geneva, Department of Quantum Matter Physics and Group of Applied Physics)

Title: New physics at atomic thickness

Discovery of graphene—one-atom-thin layer of graphite—has revolutionized our view of
electronic materials. It has not only shown that it is possible to obtain atomically thin crystals
with excellent quality, but also shown that their properties are drastically different from those
of the bulk materials, leading to the discovery of new physical phenomena. The relevant
research area is growing fast at an impressive pace. Number of material systems available in
the experiments is rapidly increasing, and new phenomena that challenge current solid-state
theories are constantly being found. Here, I briefly introduce the field by using graphene as a
prominent example. I will discuss how one can obtain graphene from a piece of graphite using
a simple exfoliation technique, what are its unique properties and how they appear in the
experiments. Finally, I will conclude this talk by showing that there exist various material
systems, other than graphene, that can be exfoliated down to a monolayer and possess another unique properties.

4. 장범진 박사과정 (ETH Zurich, Multi-Scale Robotics Lab)

Title: Designs of micro-nanoswimmers and their locomotion in viscous fluids

첨부파일 참조

5. 진경환 박사 (EPFL, Biomedical Imaging Group)

Title: Deep Convolutional Neural Network for Inverse Problems in Imaging

Abstract :
This talk discusses a novel deep convolutional neural network (CNN)-based algorithm for solving ill-posed inverse problems. Regularized iterative algorithms have emerged as the standard approach to ill-posed inverse problems in the past few decades. These methods produce excellent results, but can be challenging to deploy in practice due to factors including the high computational cost of the forward and adjoint operators and the difficulty of hyper parameter selection. The starting point of our work is the observation that unrolled iterative methods have the form of a CNN (filtering followed by point-wise non-linearity) when the normal operator (H*H, the adjoint of H times H) of the forward model is a convolution. Based on this observation, we propose using direct inversion followed by a CNN to solve normal-convolutional inverse problems. The direct inversion encapsulates the physical model of the system, but leads to artifacts when the problem is ill-posed; the CNN combines multiresolution decomposition and residual learning in order to learn to remove these artifacts while preserving image structure. The performance of the proposed network will be demonstrated in sparse-view reconstruction on parallel beam X-ray computed tomography and accelerated MR imaging reconstruction on parallel MRI.

많은 참여 부탁드립니다.

강 동 호 드림.