Assistant Professor+

Zhenguo Nie

Assistant Professor of Mechanical Engineering

Lee Shau Kee Science and Technology Building, Room A1007, Tsinghua University, Beijing 100084, China

Tel: +86-15001343948


Education background

Ph.D., Mechanical Engineering, Tsinghua University, 2016

M.S., Mechanical Engineering, Tsinghua University, 2012

B.S., Materials Science and Engineering, Shandong University, 2006


Sep. 2020 – Present, Department of Mechanical Engineering, Tsinghua University, Assistant Professor

Feb. 2018 – Aug. 2020, Department of Mechanical Engineering, Carnegie Mellon University, Postdoc, Lecturer

Oct. 2016 – Jan. 2018, Department of Mechanical Engineering, Georgia Institute of Technology, Postdoc

Aug. 2006 – Aug. 2009, Department of Mold Design, Anhui Jianghuai Automobile Co., Ltd, Design Engineer

Teaching work

Introduction to Scientific Computing, Instructor, Carnegie Mellon University, 2019 fall.

Machine Learning, Instructor, GEC Co., Ltd, 2020 spring.

Python Tutorial for Beginners, Instructor, GEC Co., Ltd, 2019 spring.

AI for Computer Networks, Mentor, GEC Co., Ltd, 2018-present.

Introduction for Advanced Manufacturing, Teaching Assistant, Tsinghua University, 2015 spring.

Areas of Research Interests/ Research Projects

AI-based research on mechanical engineering.


Topology optimization


Technical Background

Machine Learning, Deep Learning, Deep Reinforcement Learning.

Mathematical optimization method.

Programming language: C/C++, Python, Matlab, R.

Modeling and simulation using FEM and CFD.


Papers and Patents


Jiang H, Nie Z*, Yeo R, Farmani AB, and Kara LB, StressGAN: A Generative Deep Learning Method for 2D Stress Distribution Prediction. Journal of Applied Mechanics, ASME DC. 2020. under review (SCI Q1 IF2.671)

Nie Z, Tong L, Jiang H, and Kara LB*, TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain. Journal of Mechanical Design ASME DC.  2020. accepted (SCI Q1 IF2.828)

Nie Z, Jung S, Kara LB, and Whitefoot K*, Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing. Journal of Mechanical Design ASME DC. 2020, 142(7): 072001, (SCI Q1 IF2.828)

Nie Z, Jiang H, and Kara LB*, Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks, Journal of Computing and Information Science in Engineering ASME DC. 2019. doi:10.1115/1.4044097(SCI Q2 IF1.717)

Nie Z, Lynn R, Tucker T, and Kurfess T*, Voxel-based analysis and modeling of MRR computational accuracy in milling process. CIRP Journal of Manufacturing Science and Technology. 27, 78-92, 2019. (SCI Q1 IF2.333)

Nie Z, Wang G*, Wang L, and Rong Y. A Coupled Thermomechanical Modeling Method for Predicting Grinding Residual Stress Based on Randomly Distributed Abrasive Grains. Journal of Manufacturing Science and Engineering ASME DC. 2019, 141(8):081005-081005-12. doi:10.1115/1.4043799. (SCI Q1 IF2.875)

Nie Z, Wang G*, Jiang F, Lin Y, and Rong Y, Investigation of Modeling on Single Grit Grinding for Martensitic Stainless Steel. Journal of Central South University, 2018. 25: 1862. (SCI Q2 IF1.249)

Nie Z, Wang G*, Liu D, and Rong Y, A statistical model of equivalent grinding heat source based on randomly distributed grains. Journal of Manufacturing Science and Engineering ASME DC, 2018, 140 (5), 051016 (SCI Q1 IF2.875)

Nie Z, Wang G*, McGuffin-Cawley JD, Narayananc B, Zhang S, David Schwam, Kottman M, and Rong Y, Experimental Study and Modeling of H13 Steel Deposition Using Laser Hot-Wire Additive Manufacturing. Journal of Materials Processing Technology, 2016, 235. (SCI Q1 Top IF4.669)

Nie Z, Wang G*, Yu J, and Rong Y, A Phase-based Constitutive Model for Dynamic Mechanical Behavior of Martensitic Stainless Steel in a Complete Heating and Cooling Cycle. Mechanics of Materials, 2016, 101. (SCI Q1 Top IF2.993)

Nie Z, Wang G*, Lin Y, and Rong Y, Modeling and Simulation of Single Abrasive-Grain Cutting Process in Creep Feed Grinding. Key Engineering Materials, 2016, 6931241-1246. (EI)

Liu D, Wang G*, Nie Z, Rong Y, An in-situ Infrared Temperature-measurement Method with Back Focusing on Surface for Creep-feed Grinding. Measurement, 2016, 94645-652. (SCI Q1 IF3.364)

Nie Z, Wang G*, Lin Y, and Rong Y, Precision Measurement and Modeling of Quenching-Tempering Distortion in Low-Alloy Steel Components with Internal Threads. Journal of Materials Engineering and Performance. 2015:1-12. (SCI Q2 IF1.652)

Zhang Y, Wang G*, Nie Z, Shi W, and Rong Y, Experimental study of high temperature hydrozing annealing 1J50 alloy's magnetic properties. Journal of Manufacturing Science and Engineering ASME DC. 2013, 135:061024. (SCI Q1 IF2.875)

Zhang Y, Wang G*, Nie Z, Shi W, and Rong Y, Magnetic performance of vacuum annealed soft-magnetic alloy. Transactions of Materials and Heat Treatment, 2013, 34. (EI)

Concurrent Academic Posts

Result in Physics, Elsevier. Reviewer since 2016.

Journal of Manufacturing Science and Engineering (JMSE), ASME. Reviewer since 2018.

The International Journal of Advanced Manufacturing Technology (JAMT), Springer. Reviewer since 2018.

Journal of Materials Engineering and Performance (JMEP). Reviewer since 2019.

Journal of Manufacturing Processes (JMP). Reviewer since 2019.

NP Applied Sciences (SNAS). Reviewer since 2020.

Mechanics Based Design of Structures and Machines. Reviewer since 2020.


Contact Us


A401, Department of Mechanical Engineering, Tsinghua University, Wudaokou, Haidian District, Beijing(School Map)

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