Fred Chen Email & Phone Number

Halle, Saxony-Anhalt, Germany

➢Designed multimodal nanophotonic neural probes that integrate electrodes for neural recording and grating emitters for neural stimulation➢Simulated and characterized a new optical phased array design that achieves sidelobe-free beam-steering ➢Devised a new post-fabrication process to roughen the TiN electrodes, improving the electrode impedance by 10-fold➢Developed a packaging solution for multicore-fiber-to-photonic-chip alignment with sub-micrometer precision

Toronto, Canada Area

➢Trained an SVM image classification algorithm on OCT volumetric images in MATLAB that can differentiate between three brain regions in rats with 75% accuracy ➢Improved the image acquisition speed by 10-fold through efficiently utilizing RAM resources with a combination of C++ and MATLAB codes➢Characterized the optical performance of the endoscopic system, including its resolution and depth of field.Publication: https://onlinelibrary.wiley.com/doi/full/10.1002/jbio.201960083Thesis:https://tspace.library.utoronto.ca/handle/1807/100966

Markhan, Canada

➢Collaborated with circuit designers to reduce the parasitic resistance and capacitance and improve the EMIR performance of the power and signal routing of several IPs to production quality ➢ Completed layouts for several digital cells being used for automatic place-and-route design flow

Toronto, Canada Area

➢Demonstrated strong circuit and PCB design skills through the process of designing a hybrid neurostimulator, including 8 channels of electrical and optical stimulator ➢Constructed a robust architecture on FPGA for controlling multiple ICs on the High Voltage Neural Stimulator with I2C and SPI protocols ➢Debugged a hardware program which contains more than 4000 lines of Verilog code by running simulation on ModelSim

Doctor Of Philosophy - Phd, Silicon Photonics

Master Of Applied Science (Masc), Silicon Photonics Engineer, Gpa 4.0

Supervisor: Prof Joyce Poon Teaching Assistant ECE110 Electrical Fundamentals W2017/2018 ECE335 Semiconductor Physics F2018

Bachelor'S Degree, Electrical And Electronics Engineering, Gpa:3.83, Graduate With Honour

2nd place in Third Year EE among 207 students