Senior Product Engineer · Analog Devices, Inc.
Fufei An
What I know, I know deeply. What I don't, I learn quickly.
I provide engineering support to new and mature product lines in volume production — monitoring and identifying yield-enhancement opportunities, performing root-cause analysis, and working with design, process, test, reliability, and manufacturing engineering to put solutions in place. I develop and sustain process improvements that reduce production costs and increase yields.
I earned my Ph.D. in Materials Science and Engineering at the University of Illinois Urbana-Champaign, advised by Prof. Qing Cao. My doctoral research focused on nanomaterial synthesis and nanoelectronics fabrication, including atomically thin amorphous carbon films synthesized from solution precursors for novel low-dimensional transistors and memristors. Other projects included neuromorphic computing and solution-processed, printable electronics.
Selected Ph.D. research
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Atomically Thin Amorphous Carbon Films Synthesized from Solution Precursor
A scalable, solution-based strategy to prepare large-area, freestanding, atomically thin amorphous carbon films as novel dielectrics for nanoelectronics — including 2D transistors and memristors with unprecedented performance and uniformity.
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Solution-Processable Ordered Defect Compound Semiconductors for High-Performance Electronics
New solution-based approaches to deposit chalcogenide electronic materials — mainly CuIn<sub>5</sub>Se<sub>8</sub> — for high-performance thin-film transistors, with much faster throughput and lower equipment cost than vacuum-based deposition.
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CMOS-Compatible and Scalable Electrochemical Synaptic Transistor Arrays for Deep-Learning Accelerator
An electrochemical synaptic transistor built with CMOS-compatible metal oxides, operating by shuffling protons within a symmetric gate stack — delivering high-speed, symmetric analog programming with small variability, scalable to nanometer footprints.
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Synthetic Neurocomputers for Cognitive Information Processing
A neurocomputer prototype that uses biological neuronal circuits, engineered into well-defined 3D topologies reminiscent of deep-neural-network models, as its information-processing units — with integrated electronic and optoelectronic devices to drive and monitor each neural cell.
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