Using AI to Simulate the Body’s Fight Against Disease
A team of students in Duke's Data+ Program is spending the summer building virtual models to find out how the human body fights diseases in John Hickey's lab.
A team of students in Duke's Data+ Program is spending the summer building virtual models to find out how the human body fights diseases in John Hickey's lab.
Recent Duke ECE graduate will study redox-flow batteries at the Laboratory of Nanoscience for Energy Technologies in Lausanne, Switzerland with support from the prestigious award.
Four Duke CEE alumni from the Class of 2006 reunite to swap unforgettable undergrad memories, share wildly different career paths, and offer practical advice for future students.
Duke's Master in Game Development, Design & Innovation celebrated its first graduating class with a spring Demo Day showcasing the program's studio-based approach to game development.
Critical cells that line retinal blood vessels grown from stem cells restore retinal function in mouse models and form retinal tissue in a lab for future disease studies.
Certificate & minor programs allow Duke Engineering students to explore the world of energy through either a board interdisciplinary lens or a deep technical dive.
Ahmer Siddique shares how Duke’s ASCE chapter reflects the tight-knit, supportive and fun-loving spirit of the school's civil & environmental engineering community.
Alexandra Rivera (BS ’23) shares how the mentors she found and the research she did during undergrad led her to become CTO of a Duke spinoff company.
Community is a vital part of the undergrad experience for civil engineering sophomore Bea Hardcacre —whether she's building water systems in Eswatini or painting her face blue at a basketball game.
The inaugural neural engineering symposium highlights Duke's collaborative vision for neurotechnology
Graduating ECE major Eduardo Bartolomiol Passos tried several paths within the field before finding his fit in digital design and computer architecture, while also becoming a familiar face in ECE classrooms and labs.
Award-winning publication provides a blueprint for chip design companies to train machine learning models that help detect lithography hotspot patterns in IC layouts before fabrication while protecting proprietary layout data.