Jungin E. Kim Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
John Brown University
faculty
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Biography and Research Information
OverviewAI-generated summary
Dr. Jungin E. Kim is a faculty member at John Brown University whose research spans the seemingly disparate fields of quantum computing and behavioral health. Kim's work in quantum computing focuses on algorithms and architecture, with recent publications exploring the opportunities and challenges of quantum computing for engineering optimization, quantum approximate Bayesian optimization algorithms, and quantum machine learning applications in additive manufacturing. Juxtaposing this, Kim also conducts research in mental health, including neural and behavioral psychology studies. Recent work investigates the interplay between working memory and reinforcement learning in the context of reward and punishment, and its relationship to internalizing symptoms.
Kim's multifaceted research interests converge on the application of advanced computational methods to complex problems across engineering and psychological domains.
Metrics
- h-index: 10
- Publications: 24
- Citations: 2,256
Selected Publications
- Neurocomputational mechanisms underlying the distinct motivational influences of reward and punishment on cognitive control (2025) DOI
- A Novel Approach-Avoidance Task to Study Decision Making Under Outcome Uncertainty (2025) DOI
- Approximate Bayesian Inference captures differential effects of value confidence on obligatory and voluntary choices (2022) DOI
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