DOE, Office of Biological & Environmental Research, Energy Earthshots: DE-SC0024712 – PI – Solving the Paradox of Rhizosphere Effects on Soil Carbon Cycle (3 years)

NIH NIBIB: R01 EB033466 – Supplement – PI – Empowering Diversity in X-ray Imaging: Training, Graduate Research, and Advancements in Detector Development (1 year)

NIH NIBIB: UG3 EB034686 – Co-PI – Development of a combined Gamma/Positron system for molecular imaging of the human brain at sub-500 micron spatial resolution (2 years)

NIH NIBIB: R01 EB033466 – PI – A dual-layer flat panel x-ray detector based on an engineered amorphous chalcogenide alloy for quantifying coronary artery calcium (4 years)

RCSA Scialog – PI – Real-time AI for Programmable Training Arrays (1 year)

DOE, Office of High Energy Physics: DE-SC0022343 – PI – Development and Characterization of a Large Area Selenium Avalanche Photodetector for Photon Detection from Ultraviolet to Infrared Wavelengths (3.5 years)

DOE, Office of Biological & Environmental Research: DE-SC0021975 – PI – Non-destructive, three-dimensional Imaging of processes in rhizosphere utilizing high energy photons (1.5 years)

NIH NIBIB: R01 EB028091 – Supplement – PI – Enabling Brain Parametric Imaging of Alzheimer’s disease with organ-dedicated PET (2 years)

Western Digital Technologies, INC – PI – Basic science of avalanche behavior in chalcogenide alloys

DOD: DTRA – PI – Amorphous selenium avalanche photodetector for isotope identification

Zhejiang University-University of Illinois at Urbana-Champaign Institute Research Program – PI – Precision robotic-assisted implantation for preclinical stereotactic neuro-surgery:

NIH NIBIB: R01 EB028091 – PI – High spatial resolution dedicated head and neck PET system based on cadmium zinc telluride detectors (4 years)

DOD: DARPA – Co-PI – A new approach to stand-off detection of special nuclear material using big data analytics

DOD: US Army – Co-PI – Spatio-Temporal Socio-Technical risk analysis for agriculture networks

Carle Illinois Collaborative Research Seed Funding Program – PI – Improving quantitative molecular imaging accuracy in clinical practice and assessing response to therapy