Biomedical in EE
Robotics in EE
Quantum in EE
Mobile & Wireless in EE
“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.
Wireless and Mobile in EE | Lab Introductions and Technical Talks by KAIST EE Faculty Members
Prof. Jinseok Choi
Wireless Communication Technology and System Development
Prof. Ian Oakley
Human Computer Interaction, Augmented and Virtual Reality
Prof. Song Min Kim
Wireless systems and networks, Mobile Computing and IoT
Prof. Sung-Ju Lee
Mobile computing, network systems, human-computer interactions, and machine learning
Prof. Si-Hyeon Lee
Communication, statistical inference, and machine learning
e.g. Thin-films, Microfabrication, and Neurotechnology
Nov 9th 2022 (Day 1)
Nov 10th 2022 (Day 2)
Prof. Teiko Heinosaari (University of Turku)
Anticipative measurements in hybrid quantum-classical computation
9:00~10:00
Prof. Rob Spekkens (Perimeter Institute)
Why interference phenomena do not capture the essence of quantum theory
09:00~10:00
Prof. Antonio Acin (ICFO)
The device-independent scenario: a quantum information theory with black boxes
10:00~11:00
Prof. Paola Capellaro (MIT)
Quantum sensing of noisy quantum system at the nanoscale
10:00~11:00
Prof. Miguel Navascues (IQOQI)
Quantum supremacy in mechanical tasks: projectiles, rockets and quantum backflow
11:00~12:00
Prof. Fernando Brandao (Caltech, AWS)
Fault tolerant quantum computing with bosonic qubits
11:00~12:00
Prof. Francesco Buscemi (Nagoya University)
About the incompatibility of quantum measurement processes
14:00~15:00
Prof. Tian Zhong (UChicago)
Scalable quantum interconnect with rare-earth qubits and memories
14:00~15:00
Prof. Giulio Chiribella (HKU)
Quantum information processing with indefinite causal structure: from foundations to applications in quantum communication and metrology
15:00~16:00
Prof. Tim Taminiau (QuTech)
Quantum networks, computations and simulations with spin qubits in diamond
15:00~16:00
Prof. Vedran Dunjko (Leiden University)
On proving learning separations between classical and quantum learners
16:00~17:00
Prof. Robert Niffenegger (Umass Amherst)
Integrated photonic control of a trapped ion qubit
16:00~17:00
Prof. Mihai Vidrighin(PsiQuantum)
Photonic quantum computing
17:00~18:00
Nov 2nd 2023 (Day 1)
Prof. Andreas F.Molisch (USC)
Sub-Terahertz propagation channels: measurement, modeling, and impact on system design
13:00~13:50
Prof. Rui Zhang (NUS)
Intelligent Reflecting Surface (IRS) Empowered Wireless Networks: Recent Advance and Future Trend
14:00~14:50
Prof. Yonina Eldar (Welzmann Institute of Science)
Model-Based Deep Learning: Applications to Imaging and Communications
15:00~15:50
Nov 3rd 2023 (Day 2)
Prof. Fadel Adib (MIT)
Decoding Hidden Worlds: Unprecedented Sensing and Connectivity for Climate, Robotics, & Smart Environments
09:00~09:50
Prof. Shyam Gollakota (University of Washington)
Enabling superhuman hearing: Creating the future of hearables and smart speakers
10:00~10:50
Prof. Falko Dressler (TU Berlin)
Virtualized Edge Computing as a Basis for Edge AI
11:00~11:50
Nov 6th 2023 (Day 3)
Prof. Chenyang Lu (University Washington at St Louis)
Internet of Medical Things: Precision Medicine with AI and Wearables
10:00~10:50
Prof. Mo Li (HKUST)
Towards AIoT
11:00~11:50
