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Tsung-Hui (Alex) Huang, 黃琮暉

Assistant Professor 助理教授​

Office 辦公室: ENG1-R626 工一館626室

Phone 分機: 03-5715131 ext.33731

Email :

​Research Area: Computational Mechanics, Numerical Methods, Extreme Events, Fluid-Structure Interaction, Shock Modeling, Meshfree and Finite Element Methods, Machine Learning Enhanced Methods

About Research: Doing research is different from doing homework or taking an exam. We must learn to view the problem from various perspectives and find out their connections. 

News 最新消息

[2023.03] Congrats to 彥寧 for finish her MS thesis defense.

[2022.12] Congrats to 宗燁 for receiving the Honorable Mention Award in SFD2022.

[2022.11] Congrats to Cameron for receiving the Second Place Award in CTAM2022.

[2022.09] Prof. Huang receive the NTHU University New Faculty Research Award.

[2022.08] I delivered a Keynote Lecture in the meshfree mini-sym. of WCCM2022.

[2022.08] New article accepted by Computational Mechanics. This is a work done by 彥寧 and me. 彥寧, Congrats! 
[2022.07] Congrats to 威辰 and 家廉 for their graduation. 恭喜威辰和家廉畢業

[2022.05] Congrats to 威辰 for receiving the Honorable Mention Award in poster competition of NTHU School of Engineering.

[2022.05] Prof. Huang receive the New Faculty Research Award from the School of Engineering at NTHU.

Recruitment 人才招募

We are currently hiring talented PostDoc, PhD/MS students. Please refer to GROUP for details. 本研究團隊正在招募對計算力學有興趣的人才,細節請參閱研究團隊一節


Bio 個人簡介

Tsung-Hui (Alex) Huang is currently an assistant professor in the Department of Power Mechanical Engineering, National Tsing Hua University, Taiwan from 2020 (Fall). His research focuses on developing novel computational tools for engineering problems involving structure or material under extreme conditions. Specifically, he developed meshfree methods to model material undergoing high strain-rate, strong hydrodynamical effect, and damage/fragmentation process. He recently works on the flow analysis and fluid-structure interaction for complicated bionic structures, and machine learning enhanced simulation techniques.

Appointment 經歷

2020 - Now, Assistant Professor, Power Mechanical Engineering, National Tsing Hua University, Taiwan,


2015 - 2016, Research Assistant, CAE Division, Civil Engineering, National Taiwan University, Taiwan.


Education 學歷

2016 - 2020, PhD, Structural Engineering, University of California San Diego, USA. 美國加州大學聖地牙哥分校結構工程學系

2013 - 2014, MSMechanical Engineering, University of Minnesota Twin Cities, USA. 美國明尼蘇達大學雙城分校機械工程學系

2008 - 2012, BS, Mechanical Engineering, National Taiwan University, Taiwan. 國立台灣大學機械工程學系

Personal Honors and Awards 個人獎項

2022  University New Faculty Research Award, NTHU, Taiwan
2022  New Faculty Research Award, School of Engineering, NTHU, Taiwan

2021  Cross-Generation Young Scholars Program, MOST, Taiwan

2021  UCSD Structural Engineering Department Nomination for Chancellor’s Dissertation Medal

2021  Conference Travel Award, WCCM: WCCM2020 (Will be a virtual conference due to the COVID19 pandemic)

2020  UCSD Thesis Dissertation Fellowship

2019  Conference Travel Award, USACM: FEF2019

2018  Taiwanese Government Scholarship, Ministry of Education in Taiwan    

2018  Conference Travel Award, USACM: MFEM2018

Honors and Awards for Supervised Students/Group 指導學生/團隊獎項

2022  Honorable Mention Award in Poster Competition in SFD2022 (謝宗燁)

2022  Second Place Award in CTAM2022 (Cameron J Rodriguez)
2022  Honorable Mention Award in student poster competition of NTHU School of Engineering. (林威辰)

2021  Third Place Award in CSME2021 (林威辰)

2021  Honorable Mention Award in CTAM2021 (趙家廉)

RESEARCH 研究計畫與方向

Research Direction|研究方向

Our research focuses on the development and employment of novel numerical methods for different types of engineering problem:


  • Numerical Methods Development (Mesh-based and Meshfree Method) / 數值方法開發(有限元素法,無網格法)

  • Material and Structure under Extreme Condition / 材料及結構極限探討

  • Multi-Scale Multi Physics Phenomena / 多尺度現象及多重物理問題

  • Advanced Fluid Modeling and Fluid-Structure Interaction / 流體行為與流固耦合分析

  • Machine Learning and Data-Driven Simulation / 數據學習及數據驅動模擬 

Research Project (on-going)|研究計畫(進行中)

  • Development and Application of Novel Fracture Mechanics and Simulation Techniques on the Analysis of the Fracture Problems for Pressure Hull (FA: MOST Young Scholars Program)|開發並應用新型破壞力學模型與模擬技術於分析壓力殼結構破裂問題 (科技部新秀學者專題計畫)

  • Development of Next-Generation Meshfree Methods and Data-Driven Computational Mechanics for the Analysis of Extreme Event Problems (FA: MOST General Proposal)|開發新世代無網格法與數據驅動計算力學於分析極限工程問題 (科技部一般專題計畫 )

  • Supersonic Wave Induced Fracture Modeling (FA: ITRI Co-op)|超音波裂片模擬分析 (工研院委託案已結案)

  • Flow Pattern Modeling and Drag Reduction Analysis for Shark Denticles (FA: ITRI Co-op)|鯊魚盾鱗流場模擬與抗阻分析 (中研院合作案已結案)

Gallery | 研究展示

彈道學模擬 Bullet Penetration of Metal Plate

(Advanced Meshfree, VC-NSNI)

金屬板衝擊模擬 Aluminium Plate Impact

(Keyword: Meshfree, Shock Algorithm) 

冷凍鑄造法模擬 Freeze-Casting Simulation 

(Keyword: Adaptive Finite Element, Phase-Field Methoid)

腔室崩塌 Room Collapse and Closure

(Keyword: Advanced Meshfree, VC-NSNI)

生物體表面流場模擬 Flow Simulation for Biological Model

(Keyword: Advanced FEM, Variational Multiscale Method)


​神經網路強化有限元於多尺度模擬 NN-enhanced FEM for multiscale modeling
(Left: Direct Numerical Simulation, Right: Employed NN method)


反數值鎖死穩定化技術 Anti Numerical Locking Stabilization
Keyword: Mixed Formulation
, Variational Multiscale Method)

研究介紹與研究資源簡介 Introduction to our research, resources, tools, and applications

GROUP 研究團隊

[Member & Research Direction 團隊成員與研究方向]

[M2] 謝宗燁:Physics Informed Neural Networks 物理信息類神經網路、Advection Dominated Flows 平流問題

[M2] 陳彥臻:Machine Learning 機器學習、Data-Driven Mechanics 數據驅動力學 (與材料系陳柏宇教授共同指導)

[M2] 王楚皓:Machine Learning 機器學習、Multiscale Homogenization 多尺度均質化法、Anisotropic Materials 異向性材料

[M2] Harshal Shashikant Tangade:Phase Field Method 相場法、Fracture Mechanics 破裂力學

[M2] Cameron J Rodriguez:Material Point Method 物質點法、Damage Mechanics 損傷力學

[M1] 鄭辰亘:Machine Learning 機器學習

[M1] 蘇英明:Material Point Method 物質點法

[M1] 楊承濬:Fluid Mechanics 流體力學、Meshfree Methods 無網格法

[M1] 周俞均:Machine Learning 機器學習、Multiscale Damage Modeling 多尺度破裂模擬 (與材料系陳柏宇教授共同指導)

[M1] 許朝捷:Material Point Method 物質點法

[M1] 謝文翊:TBD

[M1] 李郁臻:TBD

[M1] 蔡揚名:TBD

[Lab Focus and Training 實驗室訓練]

The lab training focuses on mathematics, coding and algorithm development, basic training for commercial simulation software. We focus on fundamental research, and the lab is especially welcome for people who are looking for research positions in the near future. Interested students may contact via email. 歡迎對計算力學,結構及材料極限,數值方法,流固耦合及人工智慧驅動模擬有興趣的專題生及研究生加入,學生訓練側重數學邏輯思考,編程、計算軟體開發、二次開發與熟用商業建模與模擬軟體。有興趣加入的學生請直接email聯繫

[Recruitment for MS Students 碩士生招募]:

Each year this lab will recruit 3-5 MS students. Please email me directly for detailed information 本實驗室每年招收3-5個不同領域之碩士生,詳情可參考清大動機系網頁。有興趣的同學請直接聯繫我

[Recruitment for PhD Students, Postdocs, Research Assistant 博士生及專業研究人才招募]:

We are currently recruiting new research assistant, PhD students or Postdocs in the field of computational mechanics. The candidates must have the following conditions 我們目前正在招募計算力學領域的研究助理、博士生或博士後,申請者必需要有下列基礎能力:

  1. Basic understanding in theory of FEM for solid mechanics (in contrast to using commercial software). 對於數值方法、尤其是有限元素法理論、以及固體力學或一般連體力學有著相當程度的理解(非使用有限元素商業軟體之經驗)

  2. Computer coding skills, especially in Python/C++ and Linux system operation. 良好編程技術,尤其是在Python/C++以及Linux系統操作能力

  3. ​Experience in academia writing/publication. 有過學術期刊或報告撰寫經驗(國內外皆可)

This lab will provide sufficient/competitive monthly stipend and applicant should contact me directly. Please contact me directly if you are interested. 本實驗室將提供有競爭力之獎助學金及薪資,有興趣者請直接聯繫我詳談。

[Alumni & Thesis Topic 畢業生與畢業論文題目]


[M] 魏彥寧:可應用於厚板殼模擬之穩定無網格伽遼金法 (1.5 yrs for MS)


[M] 趙家廉:開發單點積分穩態有限元法於模擬近似不可壓縮材料 

[M] 林威辰:應用多尺度變分有限元素法於鯊魚仿生皮齒結構流場阻力分析與初步流固耦合分析架構探討 (1.5 yrs for MS)


I am dedicating to the open-source implementation and paper publications. Open-sourcing is essential for expanding the horizon of knowledge, and it can connect scientists and engineers in different field, creating new scientific disciplines.


RKPM2D: an open-source implementation of nodally integrated reproducing kernel particle method for solving partial differential equations

This program includes the Galerkin equation for the linear elasticity, implemented under MATLAB, which is easy to access and is highly readable. The 2D RKPM and stabilized nodal integration are included. It is perfectly suitable for beginner and graduate students to study meshfree method.



Paper Link 論文連結:

Download Link 程式下載連結:


Bio 簡介

The implemented RKPM2D program is a two-dimensional RKPM-based code developed for the static analysis of two-dimensional linear elasticity problems. The code is developed based on Reproducing Kernel Particle Method (RKPM) with the following features. (1) User-friendly MATLAB program for straightforward meshfree analysis and easy implementation and modification for new functionalities. (2) Subroutine for discretization of two-dimensional domains of arbitrary geometry and nodal representative domain creation through Voronoi diagram partitioning. (3) A complete meshfree Galerkin equation solver with two types of domain integration: stabilized nodal integration, and conventional background Gauss integration. (4) Built-in visualization tools for post-processing of the numerical results. The RKPM2D code is implemented under a MATLAB environment with pre-processing, solver, and post-processing functions fully integrated for supporting reproducible research and serving as an efficient test platform for further development of meshfree methods. Both the MATLAB built-in mesh generator and standard neutral files exported by other mesh generators can be used to obtain the point-based domain discretization for meshfree analysis. A meshfree Galerkin equation solver for 2-dimensional elastostatics, and visualization tools for post-processing are provided. Nitsche’s method is adopted for imposition of essential boundary conditions. Spatial domain integration techniques implemented in the code include the Gauss Integration (GI), the Direct Nodal Integration (DNI), and the Stabilized Conforming Nodal Integration (SCNI). For nodal integration, two different types of stabilization methods are implemented in RKPM2D, including the Modified Stabilized Conforming Nodal Integration (MSCNI) and the Naturally Stabilized Nodal Integration (NSNI).

Reference 參考資料:

Huang, T. H., Wei, H., Chen, J. S., & Hillman, M. C. (2020). RKPM2D: an open-source implementation of nodally integrated reproducing kernel particle method for solving partial differential equations. Computational Particle Mechanics, 7(2), 393-433.


* indicates undergraduate level, otherwise is graduate level.


2022 - 2023:Mechanics of Materials 材料力學*Nonlinear Finite Element Method 非線性有限元、Fracture Mechanics 破裂力學 

2021 - 2022:​Nonlinear Finite Element Method 非線性有限元、Plates and Shells 板殼理論、Fracture Mechanics 破裂力學 

2020 - 2021:​Plates and Shells 板殼理論、Fracture Mechanics 破裂力學 


2020 Summer:​Solid Mechanics 固體力學*

2018 - 2020:​Finite Element Method 有限元素法(Teaching Assistant)


Articles In International Journals (*Corresponding Author)


  1. TY. Hsieh, TH. Huang*"A Multiscale Least Square Physics Informed Neural Networks Formulation with Weakly Imposed Boundary Conditions Method for Modeling Advection Diffusion Equations." To be submitted

  2. YZ. Chen, CH. Wang, TY. Hsieh, CC. Tung, PY Chen, TH Huang*. "An Efficient Parameterized Neural Network Enhanced Multiscale Finite Element Modeling for Femur with Triply Periodic Minimal Surfaces Meta-Structures." Submitted

  3. C. Rodriguez, TH. Huang*"A Variationally Consistent Reproducing Kernel Enhanced Material Point Method and its Applications to Incompressible Materials." Submitted

  4. TH. Huang*. "Stabilized and Variationally Consistent Integrated Meshfree Formulation for Advection-Dominated Problems." Computer Methods in Applied Mechanics and Engineering. Published Online. DOI:

  5. TH. Huang*. YL. Wei. "An Efficient Bending Consistent Integration Method for Reissner-Mindlin Galerkin Formulation." Computational Mechanics. Published Online. DOI: (Keynote Lecture in WCCM2022).

  6. TH. Huang*. CL. Chao. "A Stabilized One-Point Integrated Mixed Formulation for Finite Element and Meshfree Methods in Modeling Nearly Incompressible Materials." Acta Mechanica. 233.3 (2022): 1147-1172. (Honorable Mentioned Award for CTAM2021)

  7. TH. Huang, JS. Chen*, M. R. Tupek, F. N. Beckwith and E. H. Fang. "A Variational Multiscale Immersed Meshfree Formulation for Fluid-Structure Interactive Systems involving Shock Wave." Computer Methods in Applied Mechanics and Engineering. 389 (2022): 114396. DOI: (Travel Award for WCCM2020)

  8. TH. Huang*. "A Variational Multiscale Stabilized and Locking-Free Meshfree Formulation for Reissner-Mindlin Plate Problems." Computational Mechanics. 69 (2021): 59–93:

  9. A. Neofytou, TH. Huang, S. Kambampati, R. Picelli, JS. Chen, and H. A. Kim*. "Level Set Topology Optimization with Nodally Integrated Reproducing Kernel Particle Method." Computer Methods in Applied Mechanics and Engineering 385 (2021). DOI:

  10. TH. Huang, JS. Chen*, M. R. Tupek, F. N. Beckwith, J. J. Koester and E. H. Fang. "A Variational Multiscale Immersed Meshfree Formulation for Heterogeneous Materials." Computational Mechanics. 67.4 (2021): 1059-1097. DOI:

  11. A. Neofytou, R. Picelli, TH. Huang, JS. Chen, and H. A. Kim*. "Level Set topology Optimization for Design-Dependent Pressure Loads Using the Reproducing Kernel Particle Method." Structural and Multidisciplinary Optimization 61 (2020): 1805-1820

  12. TH. Huang, H. Wei, JS. Chen*, and M. Hillman. "RKPM2D: An Open-Source Implementation of Nodally Integrated Reproducing Kernel Particle Method for Solving Partial Differential Equations." Computational Particle Mechanics 7.2 (2020): 393-433. DOI:

  13. TH. Huang, JS. Chen*, H. Wei, M. J. Roth, J. A. Sherburn, J. Bishop, M. R. Tupek, and E. H. Fang. "A MUSCL-SCNI Approach for Meshfree Modeling of Shock Waves in Fluids." Computational Particle Mechanics 7.2 (2020): 329-350. DOI: (Travel Awards for MFEM2018 and FEF2019)

  14. TH. Huang, TH. Huang, YS. Lin, CH. Chang, SW. Chang, CS. Chen*. " A Time Integration Method for Phase-Field Modeling." Multiscale Science and Engineering. (2019): 1-14.

  15. TH. Huang, CS. Chen*, and SW. Chang*. "Microcrack Patterns Control the Mechanical Strength in the Biocomposites." Materials & Design. 140 (2018): 505-515.

  16. TH. Huang, TH. Huang, YS. Lin, CH. Chang, PY. Chen, SW. Chang, CS. Chen*. "Phase-Field Modeling of Microstructural Evolution by Freeze Casting Process." Advanced Engineering Materials. 20.3 (2017): 1700343. (Journal Cover and Highlighted News on Advanced Science News)

Technical Report        


  1. B. Reedlunn*, G. Moutsanidis, Y. Bazilevs, J. Baek, TH. Huang, X. He, K. Taneja, H. Wei, JS. Chen, J. Koester, E. Matteo, C. Mitchell, R. Lander, and T. Dewers. “Initial Simulations of Empty Room Collapse, Rubble Pile Consolidation, and Rubble Pile Permeability at the Waste Isolation Pilot Plant”. Technical Report (SAND2019-15351). Sandia National Laboratories, Albuquerque, NM (SNL-NM), November 2019.


Please check my google scholar page for details of these papers.

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