My research lies in optical communication networks starting from analytical modeling, to simulations, lab experiments, hardware implementation in FPGA/ASIC, prototyping, and full product development. One might wonder why I list product development as research, and I would emphasize that design for test, design for manufacturability, robust design for high yield and scalability are all based on statistical analysis, regression, and machine learning methods applied on process variations, environmental variations, component variations, etc. Here lies great potential for data mining and analysis, optimization methods, design/process automation with AI/ML, and many more... Currently, I am working as a post-doc researcher on the implementation of low-power, low-complexity modulation and coding in the Information and Communication Theory Lab of the Signal Processing Systems Group. I am interested in how Information Theory can be applied to solve problems that people come across when designing and developing products.


Jeffrey Lee received his MSc (ir.) and PhD (dr.) degrees in Electrical Engineering from the TU/e in 2005 and 2009 respectively. His early research focused on digital signal processing and modulation formats for short reach optical communication systems, in particular DMT (Discete Multi-Tone) and PAM-4 (Pulse Amplitude Modulation). The impact of this work resulted in the commercialization of 100G chipsets based on both DMT and PAM-4 in the industry. From 2011 to 2018, Jeffrey joined Bell Labs in Murray Hill, NJ, USA as a Member of Technical Staff. His work included digital signal processing and advanced modulation formats for short-reach optical communications, in combination with high-speed analog electronic as well as integrated silicon photonic devices. Jeffrey has contributed to more than 100 publications and holds multiple patents. He received the Corning Best Student Paper Award at the Optical Fiber Communications (OFC) conference in 2019, and was selected as one of the 100 outstanding young engineers in the United States for the US Frontiers of Engineering program in 2015.

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