1. A dynamic metabolic flux balance based model of fed‐batch fermentation of bordetella pertussis. (17th January 2013) Authors: Budman, Hector; Patel, Nilesh; Tamer, Melih; Al‐Gherwi, Walid Journal: Biotechnology progress Issue: Volume 29:Number 2(2013:Mar./Apr.) Page Start: 520 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A hybrid clustering approach for multivariate time series – A case study applied to failure analysis in a gas turbine. (November 2017) Authors: Fontes, Cristiano Hora; Budman, Hector Journal: ISA transactions Issue: Volume 71:Part 2(2017) Page Start: 513 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. A method for tackling primal multiplicity of solutions of dynamic flux balance models. (5th December 2020) Authors: Shen, Xin; Budman, Hector Journal: Computers & chemical engineering Issue: Volume 143(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. A novel unsupervised approach for batch process monitoring using deep learning. (March 2022) Authors: Agarwal, Piyush; Aghaee, Mohammad; Tamer, Melih; Budman, Hector Journal: Computers & chemical engineering Issue: Volume 159(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Applications of flow cytometry sorting in the pharmaceutical industry: A review. (4th April 2021) Authors: Vitelli, Michael; Budman, Hector; Pritzker, Mark; Tamer, Melih Journal: Biotechnology progress Issue: Volume 37:Number 4(2021) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Applications of Polynomial Chaos Expansions in optimization and control of bioreactors based on dynamic metabolic flux balance models. (10th August 2017) Authors: Kumar, Divya; Budman, Hector Journal: Chemical engineering science Issue: Volume 167(2017) Page Start: 18 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Assessing Observability using Supervised Autoencoders with Application to Tennessee Eastman Process. Issue 2 (2020) Authors: Agarwal, Piyush; Tamer, Melih; Budman, Hector Journal: IFAC-PapersOnLine Issue: Volume 53:Issue 2(2020) Page Start: 206 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Assessing Observability using Supervised Autoencoders with Application to Tennessee Eastman Process⁎This research is supported by Mitacs through Mitacs-Accelerate Program. Issue 2 (2020) Authors: Agarwal, Piyush; Tamer, Melih; Budman, Hector Journal: IFAC-PapersOnLine Issue: Volume 53:Issue 2(2020) Page Start: 206 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Classification of Profit-Based Operating Regions for the Tennessee Eastman Process using Deep Learning Methods ⁎. Issue 1 (2019) Authors: Agarwal, Piyush; Budman, Hector Journal: IFAC-PapersOnLine Issue: Volume 52:Issue 1(2019) Page Start: 556 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Classification of Profit-Based Operating Regions for the Tennessee Eastman Process using Deep Learning Methods. Issue 1 (2019) Authors: Agarwal, Piyush; Budman, Hector Journal: IFAC-PapersOnLine Issue: Volume 52:Issue 1(2019) Page Start: 556 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗