Claire Andreasen Receives Fulbright to Study Solar Batteries
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.
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.
Jeff Glass helped lead a report that recommends a new cross-school academic unit to coordinate, connect expertise.
Emily Wenger comments on the potential pitfalls associated with hiring a company to collect and use data for security purposes without strong guardrails in place.
Miroslav Pajic, Duke ECE professor, discusses how lidar can be compromised using malware, with serious consequences.
Hands-on workshops, industry mentors and parental programming bring more than 150 students to Duke for the annual event.
Yiran Chen and Helen Li have won the A. Richard Newton Technical Impact Award for their foundational research on magnetic random access memory (MRAM).
A group of Duke undergraduates, doctoral students, postdoctoral researchers and faculty members spanning several years were recognized along with national collaborators for their work to develop novel semiconductor materials that can control spin, charge and light.
Duke biomedical engineer shares the prize with colleagues who developed the hearing-restoring technology.
Dr. Horace Craig Casey, Jr., Professor Emeritus of Electrical and Computer Engineering at Duke University, passed away on June 9, 2026 in Durham, NC. He was 91 years old.
Researchers Tania Roy and Sanjeev Chauhan will take their retina-inspired semiconductor startup, Synapse Semiconductor, to Y Combinator this summer.
Professor Neil Gong and other scholars have been issuing warnings about the security vulnerabilities of AI agents for a while.
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.