Tianyu Huang

Applied Scientist at Amazon

Amazon Alexa

Biography

I am an applied scientist at Amazon Alexa working on natural language understanding applications. Prior to joining Amazon, I worked as a graduate research assistant and obtained my Ph.D. degree in the Department of Mechanical Engineering at Northwestern University. I also finished two Master of Science degrees in Statistics and Mechanical Engineering.

Before starting graduate school, I earned a B.Sc degree in Materials Science and Engineering and a B.A. in Journalism and Communications, both from Shanghai Jiao Tong University in Shanghai, China.

Interests

Natural language understanding

Education

Ph.D. in Mechanical Engineering, 2020

Northwestern University
M.Sc in Statistics, 2020

Northwestern University
M.Sc in Mechanical Engineering, 2016

Northwestern University
B.Sc in Materials Science & Engineering, 2015

Shanghai Jiao Tong University (China)
B.A. in Journalism and Communications, 2015

Shanghai Jiao Tong University (China)

Experience

Applied Scientist

Amazon Alexa

Apr 2024 – Present Boston, MA

Research Scientist

Amazon Alexa

Oct 2020 – Apr 2024 Boston, MA

Summer Internship

Livermore Software Technology Corporation (LSTC)

Jun 2019 – Sep 2019 Livermore, CA

Visiting Scholar

Ford Motor Company

Jul 2018 – Sep 2018 Dearborn, MI

I worked in the materials and manufacturing group in the Research and Innovation Center at Ford, mainly on developing methods for the design of carbon fiber reinforced polymer(CFRP) composite materials and products.

Research Assistant

Northwestern University

Sep 2015 – Sep 2020 Evanston, IL

Various projects on fiber and nanoparticle composite materials design, uncertainty quantification and propagation, surrogate modeling of PDE-based engineering systems, etc.

Teaching Assistant/Grader

Northwestern University

Sep 2015 – Present Evanston, IL

Courses include (200+: undergraduate, 300+: undergraduate/graduate, 400+: graduate):

ME341 Computational Methods for Engineering Design
ME441 Engineering Optimization
ME220 Thermodynamics
ME340-1 Manufacturing Processes

Summer Session

University of California, Berkeley

Jul 2013 – Aug 2013 Berkeley, CA

Publications

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Huang, T., Bisram, M., Li, Y., Xu, H., Zeng, D., Su, X., Cao, J., Chen, W.

October 2023 Machine Learning in Modeling and Simulation: Methods and Applications Book Chapter

Mixed-Variable Concurrent Material, Geometry, and Process Design in Integrated Computational Materials Engineering

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Huang, T., Chung Hoon, H., Wivagg, C., Shimizu, K.

August 2023 Interspeech 2023 Conference Paper

Record deduplication for entity distribution modeling in ASR transcripts

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Huang, T., Liu, Z., Wu, C.T., Chen, W.

August 2022 Computer Methods in Applied Mechanics and Engineering Journal Paper

Microstructure-guided deep material network for rapid nonlinear material modeling and uncertainty quantification

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Huang, T., Gao, J., Sun, Q., Zeng, D., Su, X., Liu, W. K., Chen, W.

March 2021 Composite Structures Journal Paper

Stochastic nonlinear analysis of unidirectional fiber composites using image-based microstructural uncertainty quantification

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Liu, Z., Wei, H., Huang, T., Wu, C.T.

March 2020 arxiv Preprint

Intelligent multiscale simulation based on process-guided composite database

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Zhang, K., Yan, M., Huang, T., Zheng, J., Li, Z.

March 2019 Journal of Manufacturing Processes Journal Paper

3D reconstruction of complex spatial weld seam for autonomous welding by laser structured light scanning

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Hansoge, N. K., Huang, T., Sinko, R., Xia, W., Chen, W., Keten, S.

July 2018 ACS Nano Journal Paper

Materials by Design for Stiff and Tough Hairy Nanoparticle Assemblies

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Chen, Z., Huang, T.(co-first author), Shao, Y., Li, Y., Xu, H., Avery, K., Zeng, D., Chen, W., Su, X.

March 2018 Composite Structures Journal Paper

Multiscale Finite Element Modeling of Sheet Molding Compound (SMC) Composite Structure based on Stochastic Mesostructure Reconstruction

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Chen, Z., Li, Y., Shao, Y., Huang, T., Xu, H., Li, Y., Chen, W., Zeng, D., Avery, K., Kang, H., Su, X.

March 2017 SAE Technical Paper Conference Paper

A Comparative Study of Two RVE Modelling Methods for Chopped Carbon Fiber SMC

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Huang, T., Fan, L., Bao, Y., Shi, H., Zhang, K.

July 2015 Robotic Welding, Intelligence and Automation Conference Paper

Multi-pass Route Planning for Thick Steel Plate Using Laser Welding with Filler Wire

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Shi, H., Zhang, K., Xu, Z., Huang, T., Fan, L., Bao, W.

October 2014 The International Journal of Advanced Manufacturing Technology Journal Paper

Applying statistical models optimize the process of multi-pass narrow-gap laser welding with filler wire

url

Presentations

Machine Learning/Data-driven Methods with Engineering Applications

Ford Motor Company Research and Innovation Center Aug 2019

Invited talk

Multiscale and Multidimensional Quantification and Propagation of Manufacturing Induced Uncertainty in Fiber Reinforced Composites

USACM Thematic Conference on Uncertainty Quantification in Computational Solid and Structural Materials Modeling Jan 2019

Poster presentation

Microstructure Reconstruction of Sheet Molding Composite Using a Random Chips Packing Algorithm

WCX17: SAE World Congress Experience Apr 2017

Awards

Student Travel Award

United States Association for Computational Mechanics Jan 2019

2019 USACM Conference on Uncertainty Quantification in Computational Solid and Structural Materials Modeling

Predictive Science & Engineering Design Interdisciplinary Cluster Fellowship

Northwestern University Sep 2017 – Jun 2018

Awarded to support an interdisciplinary team project on uncertainty quantification in multi-scale modeling for engineering design

Tianyu Huang

Applied Scientist at Amazon

Biography

Interests

Education

Experience

Applied Scientist

Research Scientist

Summer Internship

Visiting Scholar

Ford Motor Company

Research Assistant

Northwestern University

Teaching Assistant/Grader

Northwestern University

Summer Session

University of California, Berkeley

Publications

Presentations

Machine Learning/Data-driven Methods with Engineering Applications

Multiscale and Multidimensional Quantification and Propagation of Manufacturing Induced Uncertainty in Fiber Reinforced Composites

Microstructure Reconstruction of Sheet Molding Composite Using a Random Chips Packing Algorithm

Awards

Student Travel Award

Predictive Science & Engineering Design Interdisciplinary Cluster Fellowship

Contact