News

[August 2022] Our lab received a new funding from National Science Foundation, in collaboration with Prof. Robert Gramacy @ Virginia Tech.

CDS&E/Collaborative Research: Local Gaussian Process Approaches for Predicting Jump Behaviors of Engineering Systems. Project Abstract, Companion Project

[June. 2022] One paper from our group is highlighted as a featured article in the June 2022 issue of ISE magazine.

[April. 2022] Former member Dr. Chen Mu is highlighted for his study and experience by the Data Science Program at Florida State University.

He is currently Sr. Data Scientist at Circle K. Congratulations! Here you can read Press Release.

[April. 2022] Rifat in our group accepted a summer internship offer with Small Molecule Pharmaceutics Science Group at Genentech.

He will work on a topic of materials imaging and statistical shape analysis for Summer 2022. Congratulations!

[April. 2022] Park delivered a seminar talk at Department of Materials Science & Engineering, Seoul National University. Thanks to Prof. Jinyoung Kim for the invitation.

The talk title is "Machine Learning for Autonomous Materials Experimentation."

[January. 2022] Park delivered an invited talk at 2022 International Symposium on Electronic Imaging, Society for Imaging Science and Technology. Thanks to Dr. Doga Gursoy, Argonne National Laboratory for the invitation.

The talk title is "Active Learning for Jump Regression Estimation with Applications to Materials Discovery."

[January. 2022] Data Science for Motion and Time Analysis is now in press on Operations Research. This work is supported by the Brainpool Fellowship from the National Research Foundation - Korea.

The paper is entitled with "Data Science for Motion and Time Analysis with Modern Motion Sensor Data". Here you can download In Press Article.

[July 2021] Work with AFRL on variable selection in Gaussian process regression is now in press on IISE Transactions.

The paper is entitled with "Variable Selection for Gaussian Process Regression through a Sparse Projection". Here you can download In Press Article.

[July 2021] Work with AFRL regarding Gaussian process modeling under control uncertainty is now in press on Journal of Manufacturing Science and Engineering.

The paper is entitled with "Gaussian Process Surrogate Modeling Under Control Uncertainties for Yield Prediction of Carbon Nanotube Production Processess". Here you can download In Press Article.

[May 2021] Perspective on autonomous experimentation for materials development is accepted for publication in Matter.

The paper is entitled with "Autonomous Experimentation Systems for Materials Development: A Community Perspective". Here you can download In Press Article.

[March 2021] Chen Mu successfully defended his PhD thesis.

The dissertation title is "Electron Tomographic Reconstruction with Sparse Noise Filter and Shape Priors."

[Jan. 2021] Rifat Hasan joined our research group as a PhD student.

He will study statistical modeling and analysis of a population of objects and their temporal changes.

[Feb. 2020] Fast and efficient tomography reconstruction algorithm is now on PR

The paper is entitled with "Sparse Filtered SIRT for electron tomography". Here you can download Published Article.

[Oct. 2019] Paper with Qian, Huang and Ding is now on AOAS

The paper is entitled with "Fast dynamic nonparametric distribution tracking in electron microscopic data." Here you can download Published Article.

[Jun. 2019] invited review with ding is on MRS Communications

The paper is entitled with "Automating material image analysis for material discovery." Here you can download Published Article.