Machine Learning models streamline circuit design, with applications ranging from electronics to aerospace.
Refining the mathematical models behind machine learning helps businesses predict future growth.
Novel methods address the threat of contaminants to protect vital groundwater.
Molecular interactions in chemical systems provide insight to inform innovative technologies.
Dr. Neil Bruce’s research in computer vision has application in industries such as agriculture.
Projects supported by Barrett grants address sustainability challenges in the food industry.
New mathematical models shed light on the interactions between invisible astrophysical objects.
Steelmaking by-products could improve carbon capture and help reduce global warming.
New computer vision methods for accurate crowd counting and informed decision making.
Dr. Leanne Chen discusses the connections between her research in electrochemistry and sustainable energy.