Electrical & Computer Engineering
College of Science & Engineering
Light-matter interactions in two-dimensional atomic crystals
Tony Low has made significant contributions to the fundamental understanding of plasmonic and optoelectronic properties in the exciting class of atomically thin two-dimensional materials. His internationally recognized theoretical research provides original blueprints on the use of these materials to manipulate light, particularly in the mid-infrared spectrum. These materials offer the promise of key breakthrough applications in the mid-infrared spectrum, such as nanophotonics, biosensing, beam forming, and thermal detectors.
Improving health by promoting adolescent vaccination and preventive services
Widespread vaccination against human papillomavirus has the potential to prevent several types of cancer, yet many young people are not receiving it. Annie-Laurie McRee’s research centers on addressing this gap. She seeks to advance behavioral, public health, and health services approaches to increasing adolescent vaccination and improving adolescents’ receipt of preventive services, particularly around sexual and reproductive health. Her scholarship is characterized by close collaboration with interdisciplinary colleagues and has helped shape current best practices in the field.
Information & Decision Sciences
Carlson School of Management
Designing systems and pricing solutions for a sustainable Internet ecosystem
Advances in information technologies, such as mobile, cloud, and AI, hold promise for transforming our society. But their successful implementation depends on our ability to holistically address technical, economic, and social issues. Sen’s interdisciplinary research accounts for these factors in designing IT systems and incentive schemes that help businesses and users make optimal decisions. His pioneering work on “smart data pricing” explores ways to reduce Internet congestion and realize affordable data plans for wider access.
David M. Vock
School of Public Health
Right treatment for the right patient at the right time
David Vock develops methods for causal inference — a set of statistical tools used to determine the effect of an intervention from observational data – and dynamic treatment regimes, which are used to evaluate and advance personalized treatment strategies. His work has contributed to understanding the survival benefit of lung transplantation and he developed novel statistical methods for evaluating approaches to distributing cadaveric organs to those awaiting transplantation. He is currently developing methodology for tobacco regulatory science to gauge the impact of potential product regulation.
Terrion L. Williamson
African American & African Studies
College of Liberal Arts
Social life, serialized death, and engaged black feminist praxis
Terrion Williamson is an interdisciplinary black feminist scholar. A native of Peoria, Illinois, her first book, Scandalize My Name: Black Feminist Practice and the Making of Black Social Life (2017) uses her hometown as a primary site of interrogation. Currently, she serves as the founding director of the Black Midwest Initiative and is working on both an edited volume about blackness in the Midwest and a book titled We Cannot Live Without Our Lives, a study of black women and serial murder in the U.S.
Jason J. Wolff
College of Education & Human Development
Pre-symptomatic detection and intervention for autism spectrum disorder
Early intervention can dramatically improve outcomes for children with autism. However, a significant challenge has been the identification and treatment of such children as early as possible. Wolff’s research addresses this issue through the prospective, longitudinal study of early behavioral and brain development. Currently, he is investigating precursors of maladaptive sensory and repetitive behaviors associated with autism, developing novel approaches to infant intervention, and refining ground-breaking methods to detect autism in infancy.
Pharmaceutical Care & Health Systems
College of Pharmacy
Discovering pharmacovigilance using artificial intelligence on biomedical big data
Dr. Zhang investigates how artificial intelligence can help discover novel pharmacovigilance knowledge from biomedical big data. He has created an innovative translational informatics framework, which enables the generation of hypotheses about clinical issues by mining the biomedical literature and by validating the findings in electronic health record data from large healthcare systems. This signal-generating system accelerates the rate of recognizing new patterns (e.g., drug-supplement interactions, pharmacogenomics-drug relationships) and consequences for health care.