Cell: +1-519-***-**** Eric Liu Address: ***B Cedarbrae Ave

Email: ac083x@r.postjobfree.com Waterloo, ON, N2L 4S7

PROFILE

6+ years research and hands-on experience related to semiconductor and optoelectronic devices, including device design, modeling, fabrication, characterization, and applications

5+ years cleanroom processing expertise in fabricating complex advanced semiconductor devices, using PECVD, ICP-RIE, RF magnetron sputtering, vacuum thermal/e-beam deposition, e-beam lithography and photolithography

Proficient in the characterization of semiconductor devices through XRD, FTIR, SIMS, SPM, C-AFM, profilometry, FE-SEM, HIM, UV-Vis/Raman spectroscopy, PL measurements, and probe station system

7+ research experience in artificial intelligence (AI), machine learning and nonlinear filtering

Experience and knowledge of various software and programming languages, including MATLAB, COMSOL, LabVIEW, OriginLab, OrCAD and AutoCAD

20+ peer-reviewed scientific papers in journal and conference publications CAREER-RELATED EXPERIENCE

Optical Device Scientist 2017-Present

VueReal Inc., 180 Northfield Drive, Unit 4, Waterloo, Ontario Project: Development, fabrication, characterization of micro devices such as micro-LEDs and micro sensors.

Postdoctoral Fellow 2016-2017

Waterloo Institute for Nanotechnology (WIN), University of Waterloo, Waterloo, Ontario Project: Design, fabrication and characterization of nanostructure-based ultra-compact energy-efficient semiconductor optoelectronic devices.

Designed and optimized nanostructure-based semiconductor optoelectronic devices using artificial intelligence (AI) techniques

Fabricated InAs/GaAs based quantum cascade laser (QCL), quantum well infrared photodetector

(QWIP), and micro-LED

Conducted device characterization and data analysis using LIV, FTIR, profilometry, SPM, FE-SEM, probe station, etc.

Research Assistant 2010-2016

Waterloo Institute for Nanotechnology (WIN), University of Waterloo, Waterloo, Ontario Project: Modeling, fabrication and characterization of semiconductor nanowire (NW)-based energy harvesters driving wireless sensors for structural health monitoring applications.

Modeling and simulation

- Designed and modeled semiconductor nanoelectronic devices and nanoelectromechanical systems (NEMS) using COMSOL and MATLAB

- Designed, built and programmed various optomechanical system test set-ups, including systems for measuring physical characteristics and material properties using LabVIEW

- Developed small signal detection algorithm using nonlinear filtering techniques

Material growth and characterization

- Characterized III-V (e.g., InN-based) NWs grown by MBE using XRD, SPM, C-AFM, KPFM, SIMS, FE-SEM, FTIR, Raman spectroscopy and probe station system

- Synthesized a series of p-n ZnO homojunction NWs with different doping concentrations and characterized using FE-SEM, HIM, UV-Vis, PL measurements, and probe station system

Device fabrication and characterization

- Designed, fabricated and characterized the first III-V (e.g., InN-based) nanogenerators based on p-type and intrinsic InN NWs grown by MBE, and carried out systematic studies comparing the materials of p-type and intrinsic InN NWs, and nanoelectronic-device performances

- Designed and fabricated the first cascade-type compact hybrid optoelectronic devices capable of concurrently or individually harvesting solar and strain energies

- Developed and investigated the first patterned flexible transparent ZnO p-n homojunction nanowire (NW)-based piezoelectric energy harvesters with different p-doping concentrations Visiting Researcher 2010-2011

Institute for Microstructural Sciences, National Research Council Canada, Ottawa

Conducted research in harvesting energy from far-field microwave signals to provide both power and data transmission for wireless sensing intended for aerospace structural health monitoring applications

Analyzed the influences of metal on RF-based wireless power transmission

Employed semiconductor parameter analyzers, lock-in amplifiers, oscilloscopes, etc. Research Associate 2007-2010

Control Science & Engineering Department, Wuhan University, Wuhan, China

Designed and optimized nonlinear filtering methodologies using sequential Monte Carlo methods

Improved particle filtering algorithms by integrating a color histogram with the measurement model, and by considering the latest observations with the system model in the second-order autoregressive process

Designed and optimized data mining algorithms for intelligent system Visiting Researcher 2006-2007

K. U. Leuven, Mechanical Engineering Department, Leuven, Belgium

Developed machine learning methodologies for intelligent system based on Bayesian framework

Investigated Cross-Sensor and Cross-Modality (CSCM) data fusion algorithms based on particle filtering techniques that fuse the information coming from multiple sensors and merge different state space models

LANGUAGES

English (fluent), Mandarin (native), French (basic) EDUCATION

Doctor of Philosophy, Waterloo Institute for Nanotechnology (WIN) 2015 University of Waterloo, Ontario, Canada

Dissertation: Semiconductor nanowire based piezoelectric energy harvesters: modeling, fabrication, and characterization

Doctor of Philosophy, Artificial Intelligence (AI) 2008 Huazhong University of Science and Technology, Wuhan, China Dissertation: Sequential Monte Carlo methods for nonlinear filtering Master of Applied Science & Bachelor of Engineering, Control Science & Engineering 2001 Wuhan University, Wuhan, China

PUBLICATION

Refereed Journal Papers

[1] G. Liu, E. Abdel-Rahman, and D. Ban, "Cascade-Type hybrid energy cells for driving wireless sensors," Nano Energy, 2016, 26, 641-647.

[2] G. Liu, S. Zhao, R. D. E. Henderson, Z. Leonenko, E. Abdel-Rahman, Z. Mi and D. Ban, "Nanogenerators based on vertically aligned InN nanowires," Nanoscale, 2016, 8, 2097.

[3] G. Liu, E. Abdel-Rahman, and D. Ban, "Performance optimization of p-n homojunction nanowire-based piezoelectric nanogenerators through control of doping concentration," Journal of Applied Physics, 2015, 118, 094307.

[4] G. Liu, N. Mrad, G. Xiao, Z. Li, and D. Ban, “Metallic environmental effect on RF-based energy transmission,” IEEE Antenn. Wireless Propag. Lett., 2012, 11, 925.

[5] G. Liu, and Y. Wang, “Visual tracking by particle filtering in a dynamic environment,” International J. Model Ident. Control, 2010, 10, 72.

[6] G. Liu, “An algorithm for multi-sensor data fusion target tracking,” Journal of System Simulation, Vol. 21, No. 19, pp. 6183-6185, Sep. 2009.

[7] G. Liu and Y. Wang, “An algorithm of multi-target tracking based on improved particle filter,” Control and Decision, Vol. 24, No. 4, pp. 320-323, Feb. 2009.

[8] G. Liu and Y. Wang, “An algorithm of visual target tracking based on particle filter under clutter,” International Journal of Computational Information System, Vol. 4, No. 5, pp. 324-329, Oct. 2008.

[9] G. Liu and Y. Wang, “Sequential Monte Carlo methods for moving target tracking,” Engineering Journal of Wuhan University, Vol. 41, No. 3, pp. 118-122, July 2008.

[10] G. Liu, Y. Wang and J. Xu, “Development of a component-based mobile robot software system,” Robot, Vol. 29, No. 4, pp. 337-341, July 2007.

Refereed Conferences

[1] G. Liu and D. Ban, “Hybrid cascade-type energy cell for harvesting solar and mechanical energies,” the Conference on Lasers and Electro-Optics (CLEO:2016), Jun. 5-10, 2016, San Jose Convention Center, San Jose, California, USA.

[2] G. Liu, Dayan Ban, “ZnO pn junction nanowire based nanogenerator,” the 17th Canadian Semiconductor Science and Technology Conference (CSSTC) 2015, Aug. 17-20, 2015, Sherbrooke, QC, Canada.

[3] G. Liu, M. C. Tam, L. Hu, K. EI-Rayes, Q. Guo, J. Yang, N. Mrad, D. Ban, “Optical and piezoelectric properties of p- type ZnO nanowires on transparent flexible substrate for energy harvesting,” Proceedings of SPIE, vol. 9202, Optics and Photonics in Aviation and Commercial Industries pp. 92020H-92020H-6 (2014).

[4] G. Liu, N. Mrad, G. Xiao, Z. Li, and D. Ban, “RF-based power transmission,” the Fly-by-Wireless (FBW) 2011 Workshop, Montreal, Canada, June 14-17, 2011, pp. 1-1.

[5] G. Liu, N. Mrad, G. Xiao, Z. Li, and D. Ban, “RF-based power transmission for wireless sensors nodes,” International Workshop on Smart Material & Structures and NDT in Aerospace, Montreal, Canada, Nov. 2-4, 2011, pp. 1-8.

[6] G. Liu and Y. Wang, “Data fusion and efficient algorithm for moving target tracking,” the 17th International Federation of Automatic Control (IFAC) World Congress, Soul, Korea, July 6-11, 2008.

[7] G. Liu and Y. Wang, “A particle filtering algorithm for tracking moving target under clutter,” the 7th World Congress on Intelligent Control and Automation (WCICA), Chongqing, China, June 25-27, 2008.

[8] G. Liu and Y. Wang, “An algorithm for multi-sensor data fusion target tracking,” the 2008 Chinese Control and Decision Conference (CCDC), Yantai, China, 2-4 July 2008.

[9] G. Liu and Y. Wang, “Multi-sensor moving target tracking using particle filter,” Proceedings of the 2007 IEEE, International Conference on Robotics and Biomimetics, Sanya, China, Dec. 15-18, 2007.

[10] G. Liu and Y. Wang, “Real-time target tracking with particle filter in moving monocular camera,” Proc. of SPIE, the 5th International Symposium on Multi-spectral Image Processing and Pattern Recognition, Wuhan, China, Nov. 15-17, 2007.

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