EE-X

EE-X

Initiative

Overview

EE-X

Initiative

Overview

EE-X

Biomedical in EE
Robotics in EE
IoT in EE
Neuromorphic Computing in EE
EE-X initiative
“Promoting Next-generation Convergence Reserach”
The next-generation research will be led by convergence with various fields of study. We are interested in discovering new innovative engineering products as well as new scientific findings by applying core EE technologies to multiple fields of study, including biomedical, robotics, and IoT.

Many of our faculty members are already actively involved in interdisciplinary research and contributing to the field through both academic and industrial breakthroughs. Faculty involved in interdisciplinary research have prepared a 15-min lecture on their core research results along with a short clip of video to introduce their labs.

In addition, we have invited world-renowned researchers in each of the dedicated topics over two-day seminar series. In this seminar series, we not only hear about the state-of-the-art research but also discuss the future direction of this field in an exciting panel discussion.
Biomedical in EE | Lab Introductions and Technical Talks by KAIST EE Faculty Members
Prof. Hyeon-Min Bae
Brain Imaging for Tomorrow
Prof. Kyung-Cheol Choi
Wearable OLED Photo-Therapeutics
Prof. Minkyu Je
Integrated Circuits And Microsystems for Next-Generation Medical Devices
Prof. Jae-Woong Jeong
Soft Wireless Brain Implants for Advanced Optical and Pharmacological Neuromodulation
Prof. Kyeongha Kwon
Flexible Electronic Systems in Healthcare
Prof. Hyunjoo Jenny Lee
Ultrasound Brain Stimulation
Prof. Seunghyup Yoo
Organic Optoelectronics for Wearable Healthcare
Prof. Young-Gyu Yoon
Optical & Computing Technologies for Data-Driven Neuroscience
Robotics in EE | Lab Introductions and Technical Talks by KAIST EE Faculty Members
Prof. Donghwan Lee
Machine Decision Intelligence & Learning
Prof. Myung Hyun
Autonomous robot navigation, SLAM (simultaneous localization and mapping), Swarm robots, SHM (structural health monitoring), Machine learning/AI
Prof. Dong Eui Chang
Control and Robotics
Prof. Chang Dong Yoo
Artificial Intelligence, Machine Learning, and Digital Signal Processing
Prof. Hyunchul Shim
Robotics and Autonomous Systems, Unmanned Aerial Vehicles, Self driving Cars
Biomedical in EE | Global Seminar Series
July 14th 2021 (Day 1)
July 15th 2021 (Day 2)
Prof. Stephanie Lacour (EPFL)
e.g. Thin-films, Microfabrication, and Neurotechnology
16:00~16:50
Prof. Deblina Sarkar (MIT)
From green electronics to gray mater
09:00~09:50
Dr. Jean-Francois Aubry (CNRS)
Deep brain transcranial ultrasound stimulation
16:50~17:40
Prof. Gert Cauwenberghs (UCSD)
High-eficiency integrated bioelectronics for unobtrusive electrophysiology and neuromodulation
09:50~10:40
Prof. Malte Gather (University of Cologne)
Organic LEDs as technology platform for high density all-optical neura interfaces
17:40~18:30
Prof. Azita Emami (Caltech)
Advanced medical devices for sensing and navigation
10:40~11:30
July 15th 2021 (Day 2)
Prof. Deblina Sarkar (MIT)
From green electronics to gray mater
09:00~09:50
Prof. Gert Cauwenberghs (UCSD)
High-eficiency integrated bioelectronics for unobtrusive electrophysiology and neuromodulation
09:50~10:40
Prof. Azita Emami (Caltech)
Advanced medical devices for sensing and navigation
10:40~11:30
Biomedical in EE | Global Seminar Series
Nov 18th 2021 (Day 1)
Nov 19th 2021 (Day 2)
Prof. Marco Hutter (ETH)
How legged robots revolutionize mobile robotic applications
16:00~16:50
Prof. Sham M. Kakade (Harvard)
The provable effectiveness of policy gradient methods in reinforcement learning and controls
09:00~09:50
Prof. Antonio Franchi (U of Twente)
Design and control of unconventional aerial multirotor systems for physical contact and manipulation
16.50~17:40
Prof. Evangelos Theodoros (Georgia Tech)
From deep learning to decision-making architectures and backwards: A two-way relationship
09:50~10:40
Prof. Anibal Ollero (U of Seville)
Intelligent aerial manipulation and bioinspired aerial robots
17:40~18:30
Prof. Marco Pavone (Stanford)
Safe, interaction-aware decision making and control for robot autonomy
10:40~11:30
Nov 19th 2021 (Day 2)
Prof. Sham M. Kakade (Harvard)
The provable effectiveness of policy gradient methods in reinforcement learning and controls
09:00~09:50
Prof. Evangelos Theodoros (Georgia Tech)
From deep learning to decision-making architectures and backwards: A two-way relationship
09:50~10:40
Prof. Marco Pavone (Stanford)
Safe, interaction-aware decision making and control for robot autonomy
10:40~11:30

Copyright ⓒ 2015 KAIST Electrical Engineering. All rights reserved. Made by PRESSCAT

Copyright ⓒ 2015 KAIST Electrical Engineering. All rights reserved. Made by PRESSCAT

34141 대전광역시 유성구 대학로 291
한국과학기술원(KAIST)
Tel. 042-350-3411   Fax. 042-350-3410

Copyright ⓒ 2015 KAIST Electrical
Engineering. All rights reserved.

Made by PRESSCAT