Date
Speaker: Yeon Ui Lee, Ph. D
Assistant Professor, Department of Physics, Chungbuk National University, Republic of Korea
A series of lectures: Basic concepts of nano-optics and super-resolution fluorescence microscopy
Date & Time:
[Lecture 2] 09:00-10:00, 28th (Thu)
Location:
E48, Level E, Lab 4 & Zoom
Zoom meeting:
Meeting ID: 917 8612 0273
Passcode: 870713
Abstract:
This short lecture series will first cover a few basic concepts in nano-optics and fluorescence microscopy. Advanced optical imaging techniques including confocal, multiphoton, and metamaterials-assistant super-resolution microscopies will then be surveyed. Coverage of selected topics is as follows.
- Wave optics
- Metamaterials
- Fluorescence microscopy
- Super-resolution microscopy
- Brief overview of quantum optics and fluorescence imaging
Profile:
Yeon Ui Lee is an assistant professor at Chungbuk National University, South Korea. Her research interests include, but not limited to, nanophotonics and super-resolution imaging, and she has an excellent record in the research field of metamaterial assisted illumination nanoscopies. Prof. Yeon Ui Lee received her Ph.D. degree from Ewha Womans University, South Korea, in 2015. She was a postdoctoral fellow at University of California, San Diego before she got tenured. Here at OIST in Síle Nic Chormaic Unit she is looking forward to fruitful interactions and collaborations. She will be visiting until August 20th, please don’t hesitate to get in touch: yeonuilee@cbnu.ac.kr
Date
Speaker: Yeon Ui Lee, Ph. D
Assistant Professor, Department of Physics, Chungbuk National University, Republic of Korea
A series of lectures: Basic concepts of nano-optics and super-resolution fluorescence microscopy
Date & Time:
[Lecture 1] 09:00-11:00, 27th (Wed)
Location:
E48, Level E, Lab 4 & Zoom
Date
JSPS Visiting Fellow Professor Jingbo Wang from the University of Western Australia gives a series of lectures on Quantum Computation.
Lecture 6: Quantum Optimisation (practical applications)
Date
JSPS Visiting Fellow Professor Jingbo Wang from the University of Western Australia gives a series of lectures on Quantum Computation.
Lecture 5: Grover's Search Algorithm (amplitude amplification) and Quantum Error Correction
Date
JSPS Visiting Fellow Professor Jingbo Wang from the University of Western Australia gives a series of lectures on Quantum Computation.
Lecture 4: Shor’s Factorization Algorithm (quantum arithmetic and logic; quantum Fourier transformation)
Date
JSPS Visiting Fellow Professor Jingbo Wang from the University of Western Australia gives a series of lectures on Quantum Computation.
Lecture 3: Quantum Teleportation and Superdense Coding (demonstrating quantum advantages)
Date
JSPS Visiting Fellow Professor Jingbo Wang from the University of Western Australia gives a series of lectures on Quantum Computation.
Lecture 2: Physical Implementation of Quantum Gates and Circuits (evolving the quantum computer governed by Schrödinger’s equation)
Date
JSPS Visiting Fellow Professor Jingbo Wang from the University of Western Australia gives a series of lectures on Quantum Computation.
Lecture 1: Quantum Computing Fundamentals (postulates of quantum mechanics; quantum bits, gates, and circuits)
Date
Speaker: Professor Asuka Takatsu, Tokyo Metropolitan University
Title: Curvature and Optimal transport
Abstract
In this series of lectures, I first review the notion of curvature (Gaussian curvature and Ricci curvature).
In particular, I recall some comparison theorems (Toponogov's triangle comparison theorem, Bishop--Gromov volume comparison theorem etc).
Then I introduce a generalized notion of curvature in non-smooth spaces.
Date
Speaker: Professor Jun Kitagawa, Michigan State University
Title: A brief introduction to branched optimal transport
Abstract:
The optimal transport (also known as Monge-Kantorovich) problem is a classical optimization problem which has recently become the focus of much research with connections to various fields such as PDEs, geometry, and applications. In particular, it provides an effective way to metrize the space of probability measures on a given metric space. However, there is an alternate approach to metrizing such spaces using so called branched optimal transport. Branched optimal transport is based on the classical Gilbert-Steiner problem, later adapted by Qinglan Xia, and in contrast to the Monge-Kantorovich approach tends to yield branching structures. In this series of lectures I will introduce the basics of branched optimal transport and discuss some of the known results in the literature.