TU Xin

Editor:李洁Date:2023-12-21ClickTimes:



 

Personal Profile:

Tu Xin, is an associate professor, master supervisor, CUG scholar - Young Talents Program, and a member of Hubei Province Association for Artificial Intelligence. He received his bachelor’s degree in electronics from Tianjin University in 2007 and received the doctorate of science from the School of Information Science and Technology, Fudan University in 2012. From 2010 to 2011, funded by the China Scholarship Council, he studied at the Department of Electronic Engineering and Computer, University of Michigan, Ann Arbor, for a joint doctorate; from 2012 to 2018, was engaged in R&D at Wuhan Research Institute and Japan Research Institute of Huawei Technologies, during which he was engaged in industry-university-research cooperation R&D at the Department of Precision Mechanics, Tohoku University, Japan, from 2016 to 2017. As of 2022, he has presided over 1 Youth Program of the National Natural Science Foundation of China, 2 GF projects, 1 program supported by the Fundamental Research Funds for the Central Universities and 4 cooperation programs with enterprises and institutions; he has participated in 5 programs supported by the National Natural Science Foundation of China and 1 provincial and ministerial level research project. Over the past five years, the accumulated funds for scientific research projects have exceeded 3.5 million Yuan. He is mainly engaged in the research in the fields of artificial intelligence and advanced control, intelligent perception and precision detection, micro-electromechanical systems and manufacturing. He has published more than 40 SCI papers in important academic journals at home and abroad, and has been granted 8 US patents and 1 European patent as the first inventor.


Contact Information:

Office: Room 345 (No. 2 Teaching Building), School of Mechanical Engineering and Electronic Information, Nanwangshan Campus of China University of Geosciences

Email: tuxin@cug.edu.cn


Main Experiences:

2018/12-present: Associate professor, School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan)

2016/06-2017/05: Research fellow, Department of Precision Machinery, Tohoku University

2012/07-2018/11: Project manager and senior engineer, Huawei Technologies Co., Ltd

2007/09-2012/07: PhD, School of Information Science and Technology, Fudan University

2010/11-2011/12: Joint education, Department of Electronic Engineering and Computer, University of Michigan, Ann Arbor

2003/09-2007/06: Bachelor, School of Precision Instruments & Optoelectronics Engineering, Tianjin University


Main Research Fields:

Artificial intelligence and advanced control: Artificial intelligence technologies, represented by machine learning and neural networks, are transforming many aspects of our lives, and there is a growing demand for the data processing capabilities to support these technologies. Research on new solutions for sensing and controlling micro/nano actuators, micro-intelligent robots, and precision optical machines using technical means such as machine learning and neural networks.

Intelligent sensing and precision detection: Research on the detection of geometric dimensions and physical characteristics of precision, micro, and micro/nano devices, as well as weak signal detection, with the emphasis on new methods, techniques, devices and instruments for multi-physics field detection based on micro/nano optics and mechanics and their applications in engineering.

Micro-electromechanical system and manufacturing: Focusing on the research on the related mechanisms and characteristics of MEMS and NEMS, as well as micro/nano sensors and actuators, to realize robot-assisted micro/nano manipulation; research on the characteristics and characterization methods of flexible micro/nano devices; research on CMOS optoelectronic chip integration technology


Main Courses Offered:

Numerical Calculations”, “Advanced Manufacturing Technology and Systems”, Engineering Drawing


Admission Information:

Our research group is based on the Intelligent Sensing and Information Processing Laboratory. Welcome the undergraduates and postgraduates who love scientific research and graduated from science and engineering majors including mechanical engineering, electronic engineering, automation, physics and photoelectric information, with Chinese and English reading and writing skills, programming ability and experimental ability to join us. The research group has established a wide range of scientific research cooperation with first-class universities (Tsinghua University, Fudan University, Jiao Tong University, Wuhan University, Huazhong University of Science and Technology, University of Michigan, etc.), research institutes (Peng Cheng Laboratory, Wuhan National Laboratory for Optoelectronics) and well-known enterprises (telecommunications, civil aviation, and electricity) at home and abroad, providing exchange opportunities for students to participate in international cooperation and industry-university-research cooperation projects.

Admission programs: mechanical engineering, mechatronics, electronic information


Student Training:

Outstanding Supervisor Award for University-level Outstanding Undergraduate Thesis in 2022, Design and Application of an Autofocus Platform

Outstanding Supervisor Award for University-level Outstanding Undergraduate Thesis in 2021, Research on Fiber Side Polishing Process and Characteristics after Polishing

Excellence Award for Undergraduate Teaching Quality Assessment in 2020

Master degree graduate, Wang Jianjun, 2022, Vivo Mobile Communication Co., Ltd.

Master degree graduate, Luo Yingdong, 2022, PhD Candidate at the University of Tokyo

Master degree graduate, Zheng Xinqi, 2022, Mindray Bio-Medical Electronics Co., Ltd.

Master degree graduate, Yang Yuxuan, 2021, Mindray Bio-Medical Electronics Co., Ltd.

Master degree graduate, Yang Jinwu, 2021, Huawei Technologies Co., Ltd

Master degree graduate, Chen Zhe, 2021, Guangdong OPPO Mobile Telecommunications Co., Ltd

Master degree graduate, Yan Ruopeng, 2020, PhD Candidate at Wuhan University


Programs:

GF project, Digital twin and health management technology research for XX equipment, under study, PI, 2022

GF project, XXXX micro/nano sensor, under study, PI, 2021

Project supported by Civil Aviation Fund, Engine Performance Trend Prediction Algorithm XXXXXX, under study, participant (second place), 2022

Cooperation program with enterprise or institution, Research on key technologies for silicon MEMS resonator, under study, PI, 2022

Cooperation program with enterprise or institution, Design and fabrication of new micro/nano fiber optic sensor, under study, PI, 2020

Cooperation program with enterprise or institution, Research on new high-resolution optical inspection system based on ultra-precision displacement stage, under study, PI, 2022

Youth Program of the National Natural Science Foundation of China, “Research on multifunctional biochemical detection technology based on integrated microfluidic ring resonator”, concluded, PI, 2019

Program supported by the Fundamental Research Funds for the Central Universities, “Research on the micro-nano fabrication and detection technology of integrated microfluidic chip”, concluded, PI, 2019

Cooperation program with enterprise or institution, Research on the integration technology of high-precision optical and mechanical detection platform and intelligent focusing system, concluded, PI, 2021

Applied Basic Frontier Project of Wuhan Science and Technology Bureau, “Dual-modality imaging for high-throughput detection of microfluidic chips”, under study, participant

General program of National Natural Science Foundation of China, 10874033, 11074051, 60907011, 61078052, concluded, participant


Selected Publications (first author or corresponding author):

Xin Tu; Yuxiang Wang; Zhihe Guo; Zhenmin Chen; Tianye Huang; Xiang Wu; Wei Luo, “Underwater Acoustic Wave Detection Based on Packaged Optical Microbubble Resonator“, IEEE Journal of Lightwave Technology, 2022, 40(18): 6272-6279.

Xin Tu, Jianjun Wang, Yunran Yang, Ruopeng Yan, Xiudong Duan & Chaolong Song, “Chemical reaction monitoring using tunable optofluidic Y-branch waveguides developed with counter-flow”, Microfluidics and Nanofluidics, 26(31), 2022.

Xin Tu, Yiheng Wu, Tianye Huang, Jing Zhang, and Perry Shum Ping, “Optimizing two-dimensional polarization-diversity metagrating couplers for silicon photonics”, Journal of the Optical Society of America B, Vol.39, No.4, p 1256 (2022)

Xin Tu, Wansheng Xie, Zhenmin Chen, Ming-Feng Ge, Tianye Huang, Chaolong Song, H.-Y. Fu, “Analysis of deep neural network models for inverse design of silicon photonic grating coupler”, IEEE Journal of Lightwave Technology, 2021, 39(9): 2790-2799.

Tianye Huang, Guizhen Xu, Xin Tu*, Gangshun Zhang, Rongrong Lei, Yiheng Wu, Jianxing Pan, Liyang Shao, and Perry Ping Shum,“Design of highly sensitive interferometric sensors based on subwavelength grating waveguides operating at the dispersion turning point, ” Journal of the Optical Society of America B, Vol.38, No.9, p2680 (2021)

Xin Tu, Yingdong Luo, Tianye. Huang, Jinqiang Gan and Chaolong Song, “Optofluidic refractive index sensor based on asymmetric diffraction”, Optics Express, Vol. 27 (13), 17809-17818 (2019)

Xin Tu, Sung-Liang Chen, Chaolong Song, Tianye Huang and L. Jay Guo, “Ultrahigh Q polymer microring resonators for biosensing applications”, IEEE Photonics Journal, Vol. 11 (2), 1-10 (2019)

Xin Tu, Zhenmin Chen, Hongyan Fu. Review of silicon photonic switches. Acta Physica Sinica, 2019, 68 (10): 104210. (Specially invited review).

Xin Tu, Chaolong Song, Tianye Huang, Zhenmin Chen, and Hongyan Fu, “State of the art and perspectives on silicon photonic switches”, Micromachines, Vol. 10, 1 (2019)

Xin Tu, Ming Li, Jia Jiang, Dominic Goodwill, et al, “Compact low-loss adiabatic bends in silicon shallow-etched waveguides,” IEEE 13th International Conference on Group IV Photonics (2016).

Xin Tu, Ming Li, Jiejiang Xing, Hongyan Fu, et al, “Compact PSR Based on an Asymmetric Bi-level Lateral Taper in an Adiabatic Directional Coupler,” Journal of Lightwave Technology, Vol. 34, 985(2016).

Xin Tu, Patrick Dumais, Ming Li, Dominic Goodwill, et al, Low Polarization-Dependent-Loss Silicon Photonic Trident Edge Coupler Fabricated by 248 nm Optical Lithography,” Asia Communications and Photonics Conference, AS4B.3 (2015).


Representative Granted Patents (first inventor):

Xin Tu, Hongyan Fu. Spot size converter and apparatus for optical conduction. Europe Patent Grant No. EP3159719. (European patent)

Xin Tu, Hongyan Fu, Fei Zhao. Optical interconnector, optoelectronic chip system, and optical signal sharing method. US Patent Grant No. US9829635. (US patent)

Xin Tu, Hongyan Fu, Wanyuan Liu. Polarization and polarization modulation system. US Patent Grant No. US10067363. (US patent)

Xin Tu. Polarization mode converter. US Patent Grant No. US10101531. (US patent)

Xin Tu. Polarization rotator and optical signal processing method. US Patent Grant No. US10241273. (US patent)

Xin Tu, Dongyu Geng, Fei Zhao. Mode multiplexer/demultiplexer and switching node. US Patent Grant No. US 10222549. (US patent)

Xin Tu. Optical switch and optical switching system, US Patent Grant US10509175. (US patent)

Xin Tu. Microring resonator control method and apparatus, US Patent Grant US10670811. (US patent)

Xin Tu. Optical switch and optical switching system, US Patent Grant US10705295. (US patent)