신우리 Ph.D candidate

Research topics

• # Neuroarchitecture
• # Affordance
• # Architectural affordance
• # Cognitive neuroscience

Biosketch

• I graduated from KAIST with a major in Civil and Environmental Engineering and am currently pursuing a Ph.D. in Brain and Cognitive Engineering under Professor Jaesung Jung's supervision. My main interest lies in Neuroarchitecture, which involves the integration of architecture and neuroscience. My research focuses on Architectural Affordance, which explores the relationship between humans and architectural elements. I aim to uncover how users perceive and interact with the environment. The ultimate goal is to create user-centered, improved spaces based on these findings.

최병혁 Ph.D candidate

Research topics

• # Alzheimer's disease
• # Cognitive science
• # Age & sensory-related Cognitive Research
• # Behavior-Based Cognitive Research
• # Machine learning based brain network analysis

Biosketch

• I am a graduate of the Department of Biological Sciences at KAIST with a keen interest in neurodegenerative diseases and their treatments. Currently, I am conducting research to classify subtypes of dementia patients using machine learning. Based on this, in the future, I plan to conduct research on dementia and anti-aging prevention through sensory and external stimuli. Ultimately, my goal is to contribute to research that enables humanity to control a range of neurodegenerative brain diseases, including dementia, by preventing aging.

Doyin Ph.D candidate

Research topics

• # Social Curiosity
• # Social Decision making
• # fMRI
• # Suicide
• # Mental disorders
• # Machine Learning Applications

Biosketch

• I completed my bachelor, and master's degrees at the KAIST Department of Bio and Brain Engineering, where I was introduced to the world of Neuroscience. During this period I focused on cognitive neuroscience, and related opportunities for machine learning applications, such as in the field of computational neuropsychiatry. As a member of Professor Jaeseung Jeong's decision-brain dynamics lab, my attention is centered on the neural mechanisms underlying social curiosity, and its influences on learning, interaction, perception, and decision-making in the social domain. I believe that this knowledge can potentially be leveraged to address the social impairments prevalent in numerous mental disorders, ultimately enhancing the lives of those affected. I also remain deeply interested in the application of machine learning techniques toward a better understanding and early diagnosis of mental disorders and impaired cognitive functioning. Through my research, I aim to contribute to improving the quality of life for individuals navigating the complexities of cognitive and social impairments.

정미르 Ph.D candidate

Research topics

• # Neuropsychiatric disorder
• # Graph theory

Biosketch

• My research aim is to detect differences in the brain topological patterns between autism spectrum disorder and controls. Graph theory analysis is a tool to describe brain structure and function.

정준하 Ph.D candidate

Research topics

• # Brain-Computer Interface
• # EEG Analysis
• # Machine Learning
• # Deep Learning

Biosketch

• Jun Ha (Rachel) Jung is currently a Ph.D. candidate at KAIST, focusing her research on the field of brain-computer interface (BCI). With a strong academic foundation from Dartmouth, where she obtained her bachelor's degree, Rachel's passion lies in understanding and analyzing EEG signals to advance the field of BCI. Driven by a desire to make a meaningful impact on the lives of individuals affected by stroke, Rachel's current research goal is to decode the brain signals of stroke patients. By deciphering their intentions through these signals, she aims to develop a system that enables them to control a prosthetic robotic arm, restoring their ability to interact with the world around them. Through her work, she aspires to contribute to the development of innovative technologies that bridge the gap between the human mind and machines.

박재빈 Ph.D candidate

Research topics

• # Resilience
• # Suicide
• # Psychological Pain
• # Mental Disorders

Biosketch

• Majoring in Psychology at McGill University, Jae Bin had the opportunity to create intervention programs for young adults that aimed to improve their mental health and also handle real-life stressors. His current research interest includes resilience and suicide and eventually, Jae Bin hopes to study and develop empirically-supported interventions programs that can help improve the resilience of individuals

Luliia M.S

Research topics

• # Intertemporal choice
• # Risk Preference
• # Ambiguity Aversion

Biosketch

• By acquiring her Bachelor’s degree in Biology and Genetics, Yulia has shaped her academic interests in the peculiarities of human cognitive function and the neural mechanisms underlying the most perplexing processes such as economic decision-making including the most relevant cognitive biases expressed in human choice behaviours. At the prof. Jaeseung Jeong’s Brain Dynamics lab, she aims to focus her research on the neural substrates of the intertemporal choice intererwined with risk preference and ambiguity aversion - the idea of correlation proposed in various behavioural economic models. Studying economic decision making is crucial in terms of human behavior because it helps us understand how individuals make choices, allocate resources, respond to incentives, and pursue their goals, providing valuable insights into decision-making processes that can be applied to various domains beyond economics, such as psychology, sociology, and public policy.

김지온 M.S

Research topics

• # BCI Brain Wave EEG Medical Engineering Robotics Brain Disease

Biosketch

• Dream to be someone who can provide new opportunities to people with disabilities. I entered the Department of Mechanical Engineering at KAIST with the dream of becoming a biomedical engineer, and double-majored in Bio&Brain Engineering, studying system design and data processing. During my undergraduate studies, I participated in an undergraduate research project with Professor Jaeseung Jeong to “make a robotic prosthetic hand that can be controlled by EEG for amputees.” I became convinced that I could open up more diverse opportunities for more people through the brain, and so I entered graduate school in the Department of Brain and Cognitive Sciences.
• I am currently working as a team leader for the same project and am working hard to make a BCI robotic prosthetic hand that is more powerful, cheaper, and convenient. I am also interested in degenerative brain diseases, and researching ways to suppress the occurrence and progression of diseases by analyzing the brain waves of various patients through appropriate modeling and data processing.
• I am working hard with the goal, of one day founding a company that contributes to the development of society and humanity based on the brain technology, also becoming an educator who nurtures future generations, and a role model who can inspire dreams in junior researchers.

안성호 M.S

Research topics

• # # Human-AI Interaction # Digital Healthcare Applications # Brain-Computer Interface # Deep Learning # Biomedical signal processing

Biosketch

• Seong-Ho Ahn majored in Artificial Intelligence during his undergraduate studies, where he worked as an undergraduate researcher developing machine learning frameworks for biomedical signal processing. Currently, he is interested in research focused on improving the quality of human life through Human-AI Interaction. His ultimate goal is to develop a Brain-AI closed-loop system, an interactive framework where humans enhance AI, and AI, in turn, benefits humans.