Publications

2021

Statistical learning for accurate and interpretable battery lifetime prediction. P.M. Attia, K.A. Severson, J.D. Witmer. Journal of the Electrochemical Society, 2021. paper
Discovery of Parkinson’s disease states and disease progression modelling: A longitudinal data study using machine learning. K.A. Severson, L.M. Chahine, L.A. Smolensky, M. Dhuliawala, M. Frasier, K. Ng, S. Ghosh, J. Hu. The Lancet Digital Health, 2021. paper

Personalized input-output hidden Markov models for disease progression modeling. K.A. Severson, L. Chahine, L. Smolensky, K. Ng, J. Hu, S. Ghosh. Machine Learning for Healthcare, 2020. paper
BEEP: A Python library for battery evaluation and prediction. P. Herring, C.B. Gopal, M. Aykol, J.H. Montoya, A. Anapolsky, P.M. Attia, W. Gent, J.S. Hummelshoj, L. Hung, H.-K. Kwon, P. Moore, D. Schweigert, K.A. Severson, S. Suram, Z. Yang, R.D. Braatz, B.D. Storey. Software-X, 2020. paper
DPVis: Visual analytics with hidden Markov models for disease progression pathways. B.C. Kwon, V. Anand, K.A. Severson, S. Ghosh, Z. Sun, B.I. Frohnert, M. Lundgren, K. Ng. IEEE Transactions on Visualization and Computer Graphics, 2020. paper software
Closed-loop optimization of fast-charging protocols for batteries with machine learning. P.M. Attia, A. Grover, N. Jin, K.A. Severson, T.M. Markov, Y.H. Liao, M.H. Chen, B. Cheong, N. Perkins, Z. Yang, P.K. Herring, M. Aykol, S.J. Harris, R.D. Braatz, S. Ermon, W.C. Chueh, Nature, 2020. paper press
Identifying unreliable predictions in clinical risk models. P.D. Myers, K. Ng, K.A. Severson, U. Kartoun, W. Dai, W. Huang, F.A. Anderson, C.M. Stultz. npj Digital Medicine, 2020. paper press

Generative oversampling with a contrastive variational autoencoder. W. Dai, K. Ng, K.A. Severson, W. Huang, F. Anderson, C. Stultz. ICDM, 2019.
Data-driven prediction of battery cycle life before capacity degradation. K.A. Severson, P.M. Attia, N. Jin, N. Perkins, B. Jiang, Z. Yang, M.H. Chen, M. Aykol, P.K. Herring, D. Fraggedakis, M.Z. Bazant, S.J. Harris, W.C. Chueh, R.D. Braatz. Nature Energy, 2019. paper press
Unsupervised learning with contrastive latent variable models. K.A. Severson, S. Ghosh, K. Ng. AAAI, 2019. paper slides

Vasopressin administration is associated with rising serum lactate levels in patients with sepsis. K.A. Severson, L. Ritter-Cox, J.D. Raffa, L.A. Celi, W.J. Gordon. Journal of Intensive Care Medicine, 2018. paper
Challenges and opportunities in biopharmaceutical manufacturing control. M.S. Hong, K.A. Severson, M. Jiang, A.E. Lu, J.C. Love, R.D. Braatz. Computers & Chemical Engineering 2018. paper

Opportunities and challenges of real-time release testing in biopharmaceutical manufacturing. M. Jiang, K.A. Severson, J.C. Love, H. Madden, P. Swann, L. Zang, R.D. Braatz. Biotechnology and Bioengineering, 2017. paper
Principal component analysis of process datasets with missing values. K.A. Severson, M.C. Molaro, R.D. Braatz. Processes, 2017. paper
A method for learning a sparse classifier in the presence of missing data for high-dimensional biological datasets. K.A. Severson, B. Monian, J.C. Love, R.D. Braatz. Bioinformatics, 2017. paper

Perspectives on process monitoring of industrial systems. K. Severson, P. Chaiwatanodom, R.D. Braatz. Annual Reviews in Control, 2015. paper

Elastic net with Monte Carlo sampling for data-based modeling in biopharmaceutical manufacturing facilities. K. Severson, J.G. Van Antwerp, V. Natarajan, C. Antonio, J. Thommes, R.D. Braatz. Computers & Chemical Engineering, 2015. paper

Optimal integration for biodiesel production using bioethanol. K. Severson, M. Martin, I.E. Grossmann. AIChE Journal, 2013. paper