Jennifer Bugos | Quantitative Research | Research Excellence Award

Dr. Jennifer Bugos | Quantitative Research | Research Excellence Award

University of South Florida | United States

Jennifer A. Bugos is a Professor of Music Education at the University of South Florida whose research bridges music education, cognitive neuroscience, psychology, and gerontology. She earned her Ph.D. in Music Education with a minor in Gerontology from the University of Florida and completed postdoctoral training in Clinical Cognitive Neuropsychology, complemented by advanced training in event-related potentials (ERP). Her research focuses on understanding how music training influences cognitive, neural, and psychosocial functioning across the lifespan. Using rigorous methodologies such as randomized controlled trials, EEG, ERP, and neurocognitive assessments, she has demonstrated that piano instruction, jazz improvisation, and multimodal music interventions significantly improve executive function, memory, attention, auditory processing, and emotional well-being in children, older adults, and individuals with neurological disorders, including Parkinson’s disease and dementia. Her work has also provided important insights into neuroplasticity, healthy aging, and music-based cognitive rehabilitation. Professor Bugos has published extensively in leading international journals and has established a strong record of interdisciplinary collaboration spanning music education, neuroscience, psychology, and aging research. Through her innovative scholarship and evidence-based interventions, she has made significant contributions to advancing the scientific understanding of music as a powerful tool for enhancing brain health, cognitive resilience, and lifelong learning.

Profile: Google Scholar |  Orcid

Featured Publications

Bugos, J. A., Gbadamosi, A., Laesker, D., Chow, R., Sirocchi, S., Norgaard, M., Ghent, J., & Alain, C. (2024). Jazz piano training modulates neural oscillations and executive functions in older adults: A pilot study. Music Perception, 41(5), 378–390.

Bugos, J. A., Bidelman, G. M., Moreno, S., Shen, D., Lu, J., & Alain, C. (2022). Music and visual art training increase auditory-evoked theta oscillations in older adults. Brain Sciences, 12(10), Article 1302.

Bugos, J. A., DeMarie, D., Stokes, C., & Power, L. P. (2022). Multimodal music training enhances executive functions in children: Results of a randomized controlled trial. Annals of the New York Academy of Sciences, 1516(1), 95–105.

Bugos, J. A., & Wang, Y. (2022). Piano training enhances executive functions and psychosocial outcomes in aging: Results of a randomized controlled trial. The Journals of Gerontology: Series B, 77(9), 1625–1636.

Bugos, J. A., Laubisch, K. R., Zhu, A., Avendaño, J. S., & Bryant, J. B. (2025). Associations between music training and language fluency on cognitive control and processing speed. Frontiers in Psychology, 16, 1662938.

Jae Keun Yoo | Statistical Analysis | Research Excellence Award

Prof Dr. Jae Keun Yoo | Statistical Analysis | Research Excellence Award

Ewha Womans University | South Korea

Professor Jae Keun (Peter) Yoo is an internationally recognized statistician whose scholarly career has been defined by sustained contributions to the theory, methodology, and application of modern statistical science. Over nearly two decades of research, he has established himself as a leading authority in sufficient dimension reduction (SDR), multivariate regression, statistical learning, computational statistics, and data-driven methodology development. His work has been published in prestigious international journals, including Biometrika, Computational Statistics & Data Analysis, Statistics and Computing, Statistics in Medicine, Scientific Reports, The R Journal, and numerous other leading outlets.

His research portfolio demonstrates a rare combination of rigorous theoretical innovation, methodological advancement, computational implementation, and interdisciplinary application. Through pioneering contributions to dimension reduction methodologies and their applications in health sciences, bioinformatics, transportation systems, insurance analytics, economics, and artificial intelligence, Professor Yoo has significantly advanced the capacity of researchers and practitioners to extract meaningful knowledge from increasingly complex and high-dimensional datasets.

 

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Featured Publications


Response Dimension Reduction in Multivariate Regression

– Computational Statistics & Data Analysis, 2008

On a Nonlinear Extension of the Principal Fitted Component Model

– Computational Statistics & Data Analysis, 2023

MBRDR: R-Package for Response Dimension Reduction in Multivariate Regression

– Communications for Statistical Applications and Methods, 2024

Hafiz Muddassir Majeed Butt | Statistical Analysis | Research Excellence Award

Dr. Hafiz Muddassir Majeed Butt | Statistical Analysis | Research Excellence Award

Ningbo China Institute for Supply Chain Innovation-MIT Global Scale Network | China

Dr. Engr. Hafiz Muddassir Majeed Butt is a researcher in Business Administration, Energy Economics, and Sustainable Development. He earned his Ph.D. in Management from Beijing Institute of Technology, China, and currently serves as a Postdoctoral Researcher at NISCI (MIT Global SCALE Network). His research focuses on energy economics, environmental sustainability, renewable energy, and economic modeling. He has published several peer-reviewed articles in leading international journals, including Environmental Science and Pollution Research and Water, Air, & Soil Pollution. His work explores the impacts of energy supply, trade openness, and technological innovation on environmental quality and carbon emissions. He specializes in time-series econometrics and sustainability research. Dr. Butt has received the CSC Scholarship and multiple academic recognitions for his research excellence. He continues to contribute to innovative solutions for global energy and environmental challenges.

 

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Featured Publications


China’s Environmental Challenges: The Role of Energy Supply and Trade

– Process Integration and Optimization for Sustainability, 2026