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个人简介
Dr. Studer’s research spans digital signal processing (DSP) and the design of digital very-large-scale integration (VLSI) circuits. The current research focus is on the design of low-precision multi-antenna wireless systems, analog-to-feature (A2F) conversion for low-power signal classification and inference, nonlinear signal processing, as well as manifold learning in the realm of wireless positioning.
Dr. Studer received ETH Medals for his M.S. and Ph.D. theses in 2006 and 2009, respectively. He received a two-year Swiss National Science Foundation fellowship for Advanced Researchers in 2011 and a US National Science Foundation CAREER Award in 2017. Dr. Studer won a Michael Tien '72 Excellence in Teaching Award from the College of Engineering, Cornell University, in 2016. He shared the Swisscom/ICTnet Innovations Award in both 2010 and 2013. Dr. Studer was the winner of the Student Paper Contest of the 2007 Asilomar Conf. on Signals, Systems, and Computers, received a Best Student Paper Award of the 2008 IEEE Int. Symp. on Circuits and Systems (ISCAS), and shared the best Live Demonstration Award at the IEEE ISCAS in 2013. His paper with Ph.D. student Igor Labutov on “Calibrated Self-Assessment” received the Best Student Paper award at the 2016 International Conference on Educational Data Mining (EDM). The paper “Towards a Deeper Understanding of Training Quantized Neural Networks” with H. Li, S. De, Z. Xu, H. Samet, and T. Goldstein from University of Maryland received the Google Best Student Paper Award at the ICML Workshop on Principled Approaches to Deep Learning. His Ph.D. student Charles Jeon won 2nd place at the 2018 Asilomar Conference on Signals, Systems, and Computers (together with K. Li and Prof. Cavalaro from Rice University).
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arxiv(2024)
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CoRR (2024): 9261-9265
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.13011-13015, (2024)
ICC 2023 - IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (2023): 1364-1369
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONSno. 10 (2023): 7055-7071
GLOBECOM 2023 - 2023 IEEE Global Communications Conference (2023): 3940-3946
arXiv (Cornell University) (2023): 309-316
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