Marina Artuso, Qinru Qiu Named Distinguished Professors — Syracuse University News

Marina Artuso, professor of physics in the College of Arts and Sciences, and Qinru Qiu, professor of electrical engineering and computer science in the College of Engineering and Computer Science, have been named Distinguished Professors. The distinction is one of the University’s highest honors, given to faculty whose exemplary teaching and research have advanced the academic mission. The designation was recently approved by the Board of Trustees.

“This well-deserved honor acknowledges the groundbreaking work and professional contributions of Professors Artuso and Qiu and, at the same time, honors them for their tremendous impact on the University and our students,” says Vice Chancellor, Provost and Chief Academic Officer Gretchen Ritter .

Marina Artuso

Marina Artuso

Artuso is an internationally recognized expert in experimental particle physics. Since 2005, she has worked on the Large Hadron Collider “b” (LHCb) experiment at the CERN laboratory in Geneva, and since 2021 she has served as the principal investigator of the LHCb team at Syracuse. Her scholarship challenges the dominant understanding of how the particles that make up all matter work, and she is a global expert in designing and building detectors to see these particles. The Upstream tracker detector, recently completed under her leadership, is part of a new and improved LHCb detector that is expected to greatly increase sensitivity to new physics.

CERN researcher Monica Pepe Altarelli describes Artuso as “one of the world’s most experienced and recognized experts in experimental flavor physics… [with] broad expertise in both instrumentation and data analysis.” Carl Haber, a senior scientist with the Lawrence Berkeley National Laboratory, says she “is among the rare individuals who have successfully bridged the worlds of data analysis and instrumentation, and achieved the highest reputation in the process.”

Artuso was recently named a Fellow of the American Association for the Advancement of Science for extraordinary achievements in her field and her efforts on behalf of the advancement of science. She is one of the most widely cited faculty members at Syracuse University. She holds a degree in engineering from Politecnico di Milano and a Ph.D. in physics from Northwestern University. She worked as a postdoctoral research associate at Columbia and Cornell Universities before joining the Syracuse faculty in 1991.

Qinru Qiu

Qinru Qiu

Qiu is a world leader in the field of energy-efficient computing, a research area with deep technological and societal impacts that is transforming many fields, including major computation centers, cloud computing, mobile computing, next-generation artificial intelligence (AI) and machine learning. Her work has fundamentally changed the principles of runtime power management design and enabled a systematic method to search for optimal power management policies. She has contributed groundbreaking research on brain-inspired neuromorphic computing, offering a new computing paradigm that overcomes hardware constraints in traditional GPU design and enables the handling of AI operations in an energy-efficient manner.

Vijay Narayanan, associate dean for innovation at the Penn State College of Engineering, says, “Her groundbreaking research, innovative contributions and unwavering dedication have solidified her reputation as a leader in the realm of computing systems and energy efficiency… she is known for her mentorship , leadership and collaborative spirit, fostering a vibrant and inclusive research community.”

Hai “Helen” Li, Clare Boothe Luce Professor and chair of electrical and computer engineering at Duke University, says, “Dr. Qiu has garnered widespread recognition for her recent pioneering efforts in neuromorphic computing, which have not only advanced the field but also gave inspiration to many researchers who now follow her in her footsteps.”

Qiu holds a bachelor of science degree in electrical engineering from Zhejiang University and a master of science degree in computer engineering and Ph.D. in electrical engineering from the University of Southern California. She joined the Syracuse University faculty in 2011.

 
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