Faculty Directory
Wei-keng Liao

Research Professor

Contact

2145 Sheridan Road
Tech L455
Evanston, IL 60208-3109

847-491-2916Email Wei-keng Liao

Website

Wei-keng Liao's website


Centers

Center for Ultra-scale Computing and Information Security


Departments

Electrical and Computer Engineering


Research Interests

Parallel and distributed file I/O and storage system design, data management for large-scale scientific applications, and data mining algorithm design and their parallelization.


Selected Publications

  • Gumpula, K.; Koloskov, N.; Grzenda, D.; Hewes, V.; Aurisano, A.; Cerati, G.; Day, A.; Kowalkowski, J.; Lee, C.; Wang, K.; Liao, W.; Spiropulu, M.; Agrawal, A.; Vlimant, J.; Gray, L.; Klijnsma, T.; Calafiura, P.; Conlon, S.; Farrell, S.; Ju, X.; Murnane, D., Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers, Journal of Physics: Conference Series (2023).
  • Wahl, Carolin B.; Day, Alexandra; Gupta, Vishu; Dos Reis, Roberto R.; Liao, Wei Keng; Mirkin, Chad A.; Choudhary, Alok; Dravid, Vinayak P.; Agrawal, Ankit, Machine Learning Enabled Image Classification for Automated Data Acquisition in the Electron Microscope, Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada (2023).
  • Gupta, Vishu; Choudhary, Kamal; Mao, Yuwei; Wang, Kewei; Tavazza, Francesca; Campbell, Carelyn; Liao, Wei Keng; Choudhary, Alok; Agrawal, Ankit, MPpredictor, Journal of Chemical Information and Modeling (2023).
  • Mao, Yuwei; Lin, Hui; Yu, Christina Xuan; Frye, Roger; Beckett, Darren; Anderson, Kevin; Jacquemetton, Lars; Carter, Fred; Gao, Zhangyuan; Liao, Wei keng; Choudhary, Alok N.; Ehmann, Kornel; Agrawal, Ankit, A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures, Journal of Intelligent Manufacturing (2023).
  • Gupta, Vishu; Liao, Wei Keng; Choudhary, Alok; Agrawal, Ankit, BRNet, Society for Industrial and Applied Mathematics Publications (2022).
  • Jha, Dipendra; Gupta, Vishu; Liao, Wei keng; Choudhary, Alok; Agrawal, Ankit, Moving closer to experimental level materials property prediction using AI, Scientific reports (2022).
  • Mao, Yuwei; Yang, Zijiang; Jha, Dipendra; Paul, Arindam; Liao, Wei keng; Choudhary, Alok; Agrawal, Ankit, Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design, Integrating Materials and Manufacturing Innovation (2022).
  • Lee, Sunwoo; Hou, Kai yuan; Wang, Kewei; Sehrish, Saba; Paterno, Marc; Kowalkowski, James; Koziol, Quincey; Ross, Robert B.; Agrawal, Ankit; Choudhary, Alok; Liao, Wei keng, A case study on parallel HDF5 dataset concatenation for high energy physics data analysis, Parallel Computing (2022).