Insights Interviews

Q&A: Hai (Helen) Li (Academic, Embedded System Researcher)

Helen Li came to the U.S. from China in 2000 to study for a PhD at Purdue University. Following graduation she worked for Intel, Qualcomm, and Seagate. After about five years of working in industry, she transitioned to academia by taking a position at the Polytechnic Institute of New York University, where she teaches courses such as circuit design (“Introduction to VLSI”), advanced computer architecture (“VLSI System and Architecture Design”), and system-level applications (“Real-Time Embedded System Design”). In a recent interview Li described her background and provided details about her research relating to spin-transfer torque RAM-based memory hierarchy and memristor-based computing architecture. An abridged version of the interview follows. NAN: What were some of your most notable experiences working for Intel, Qualcomm, and Seagate? HELEN: The industrial working experience is very valuable to my whole career life. At Seagate, I led a design team on a test chip for emerging memory technologies. Communication and understanding between device engineers and design communities is extremely important. The joined effects from all the related disciplines (not just one particular area anymore) became necessary. The concept of cross layers (including device/circuit/architecture/system) cooptimization, and design continues in my research career. NAN: In 2009, you transitioned from an engineering career to a career teaching electrical and computer engineering at the Polytechnic Institute of New York University (NYU). What prompted this change? HELEN: After five years of working at various industrial companies on wireless communication, computer systems, and storage, I realized I am more interested in independent research and teaching. After careful consideration, I decided to return to an academic career and later joined the NYU faculty. NAN: How long have you been
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Q&A: Hai (Helen) Li (Academic, Embedded System Researcher)

by Circuit Cellar Staff time to read: 4 min