The Digital Transformation Lab, directed by Professor Chiwoo Park, is dedicated to pioneering advancements in digital modeling and analytical tools to drive transformative changes across diverse engineering areas. Leveraging state-of-the-art digital modeling, we create accurate and dynamic representations of complex systems, enabling researchers to simulate, analyze, and optimize processes with unparalleled precision. 

We also research and develop advanced analytical tools, including machine learning, optimization, and statistical analysis, to extract meaningful insights from vast datasets. By integrating these findings into digital models (a.k.a. digital twinning), we uncover hidden patterns and support decision-making.

750 sq. ft air-conditioned space, equipped with

1.   Virtual Reality Equipment to allows users to interact with and visualize digital/virtual models

   • Digital 4-Screen Virtual Reality Cave Automatic Environment (W 14', L 14', H 10') 

   • Scalable Display - Auto Calibrator

   • Full-body tracker. Natural Point Optitrack Primex13w (4 cameras, a full body suit, gloves and a head band, Motive tracking software)

   • More3D Model-to-VR Bridging Software

   • Unity 3D Modeling Engine & Uni-CAVE

2.  Digital Modeling Tools. 

   • Technomatix Plant Simulation Software

   • Jack - Human Performance Modeling Software

   • NX Additive Manufacturing - 3D Printing Simulator

3.   Autonomous Additive Manufacturing Testbed 

   • Two Creality 3d printers, equipped with layered imaging and python-based feedback-control

   • Digital Dentistry Testbed (dental 3d printers and scanners)

4.   Computing Resource

   • One Dell Server Machine, Three Dell Workstation Computers

   • MATLAB, Python, R.

   • Six Workstation Desks and Chairs

Now establishing a new lab at UW. We are hiring multiple Ph.D. students and Postdoctoral fellows in general areas of machine learning, engineering statistics, simulation modeling and analysis, and digital twins. Interested! Send me your academic CV. 

1. Daniel Qiu (Sept 2024 - Present) His main research interest is dynamic shape data modeling and analysis with applications to human performance analysis and additive manufacturing. 

2. Yang Xu (Sept 2024 - Present) His main research interest is Jump surrogate modeling and analysis. 

1. Rifat Hasan (Jan 2021 - Present) His main research interest is statistical shape analysis and shape distribution modeling with applications to advanced manufacturing. Co-advised by Prof. Arda Vanli.

2. Isaac Adjetey (August 2021 - Present) His main research interest is surrogate modeling and sequential experiments with applications to digital twin and cyber physical systems.  Co-advised by Prof. Hui Wang.

1. Ming-yang Li (co-chaired by Prof. Richard Liang, PhD Industrial Engineering, 2016) Thesis Title: Topological and Electrical Properties of Carbon Nanotube Networks.  Currently Assistant Professor in Feng Chia University, Taiwan. 

2. Adeseye Agbabiaka (PhD Industrial Engineering, 2017) Thesis Title: Ensemble Pruning Algorithms in Machine Learning. 

3. Xin Li (PhD, Industrial Engineering, 2018) Thesis Title: Sparsity-Regularized Learning for Nano-Metrology. Currently Postdoctoral Associate in Oak Ridge National Lab.

4. Garret Vo (PhD, Industrial Engineering, 2019) Thesis Title: Large-Scale Multi-Target Tracking Problem for Interaction Targets. Currently Computer Scientist in Naval Research Lab and also Adjunct Faculty in George Mason University.

5. Chen Mu (PhD, Industrial Engineering, 2021) Thesis Title: Electron Tomographic Reconstruction with Sparse Noise Filters and Shape Priors. Currently Sr. Data Scientist in Circle-K, Inc. 

1. Kartheek Allada (MS Industrial Engineering, 2015) Thesis Title: Image Segmentation for Extracting Nanoparticles. Currently in Weston Foods.

2. Huzefa Ghadiyali (MS Industrial Engineering, 2016) Thesis Title: Partial Gauss-Seidel Approach to Solve Large Scale Linear Systems. Currently Owner of Marvel Enterprises. 

3. Ali Esmaieeli  (MS Industrial Engineering, 2017) Thesis Title: Regressing over Linear-Circular Data Using a Mixture of Linear-Linear Regression Models. Currently VP and Data Scientist Lead in JP Morgan Chase & Co. 

4. Sylwia Kakareko (MS Industrial Engineering, 2020) Thesis Title: Modeling a Probability Distribution of Elastic Curves with Applications to Nanoparticle Shape Analysis. Currently in Aero Glow International.