Richard D. Braatz

Richard D. Braatz

Massachusetts Institute of Technology

H-index: 89

North America-United States

About Richard D. Braatz

Richard D. Braatz, With an exceptional h-index of 89 and a recent h-index of 57 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Systems Theory, Systems and Control Theory, Fault Diagnosis, Manufacturing Processes, Manufacturing Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Optimum Model-Based Design of Diagnostics Experiments (DOE) with Hybrid Pulse Power Characterization (HPPC) for Lithium-Ion Batteries

Tensorial approaches combining time series and batch data for the end-to-end batch manufacturing of monoclonal antibodies

Automated outlier detection and estimation of missing data

An Execution-time-certified QP Algorithm for penalty-based Soft-constrained MPC

Time-certified input-constrained NMPC via Koopman Operator

Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging

LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models

Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data

Richard D. Braatz Information

University

Position

Edwin R. Gilliland Professor

Citations(all)

31938

Citations(since 2020)

14063

Cited By

23325

hIndex(all)

89

hIndex(since 2020)

57

i10Index(all)

338

i10Index(since 2020)

208

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Richard D. Braatz Skills & Research Interests

Systems Theory

Systems and Control Theory

Fault Diagnosis

Manufacturing Processes

Manufacturing Systems

Top articles of Richard D. Braatz

Title

Journal

Author(s)

Publication Date

Optimum Model-Based Design of Diagnostics Experiments (DOE) with Hybrid Pulse Power Characterization (HPPC) for Lithium-Ion Batteries

Jinwook Rhyu

Debbie Zhuang

Martin Bazant

Richard Braatz

2024/4/15

Tensorial approaches combining time series and batch data for the end-to-end batch manufacturing of monoclonal antibodies

Computers & Chemical Engineering

Fabian Mohr

Moo Sun Hong

Chris D Castro

Benjamin T Smith

Jacqueline M Wolfrum

...

2024/3/1

Automated outlier detection and estimation of missing data

Computers & Chemical Engineering

Jinwook Rhyu

Dragana Bozinovski

Alexis B Dubs

Naresh Mohan

Elizabeth M Cummings Bende

...

2023/10/17

An Execution-time-certified QP Algorithm for penalty-based Soft-constrained MPC

arXiv preprint arXiv:2403.18235

Liang Wu

Richard D Braatz

2024/3/27

Time-certified input-constrained NMPC via Koopman Operator

arXiv preprint arXiv:2401.04653

Liang Wu

Krystian Ganko

Richard D Braatz

2024/1/9

Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging

arXiv preprint arXiv:2404.06125

Sebastian Hirt

Andreas Höhl

Joachim Schaeffer

Johannes Pohlodek

Richard D Braatz

...

2024/4/9

LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models

arXiv preprint arXiv:2402.17120

Pedro Seber

Richard D Braatz

2024/2/27

Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data

Computers & Chemical Engineering

Joachim Schaeffer

Eric Lenz

William C Chueh

Martin Z Bazant

Rolf Findeisen

...

2024/1/1

Non-invasive Estimation of the Powder Size Distribution from a Single Speckle Image

Qihang Zhang

George Barbastathis

Ajinkya Pandit

Zhiguang Liu

Zhen Guo

...

2024/3/19

Improving Diagnostics and Prognostics of Implantable Cardioverter Defibrillator Batteries with Interpretable Machine Learning Models

Available at SSRN 4700630

Giacomo Galuppini

Qiaohao Liang

Prabhakar A Tamirisa

Jeffrey A Lemmerman

Melani G Sullivan

...

2024/1/8

Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More

arXiv preprint arXiv:2404.04049

Joachim Schaeffer

Giacomo Galuppini

Jinwook Rhyu

Patrick A Asinger

Robin Droop

...

2024/4/5

Nonparametric Steady-state Learning for Robust Output Regulation of Nonlinear Output Feedback Systems

arXiv preprint arXiv:2402.16170

Shimin Wang

Martin Guay

Richard D Braatz

2024/2/25

Multidose Transient Transfection of HEK293 Cells Modulates rAAV2/5 Rep Protein Expression and Influences the Enrichment Fraction of Filled Capsids

Richard Braatz

Prasanna Srinivasan

Christopher T Canova

Sha Sha

Tam NT Nguyen

...

2024/3/16

Efficient Simulation of Viral Transduction and Propagation for Biomanufacturing

bioRxiv

Francesco Destro

Richard D Braatz

2024

Correction: Analysis of Poly (ethylene terephthalate) degradation kinetics of evolved IsPETase variants using a surface crowding mode

Journal of Biological Chemistry

En Ze Linda Zhong-Johnson

Ziyue Dong

Christopher T Canova

Francesco Destro

Marina Cañellas

...

2024/4/1

An Execution-time-certified Riccati-based IPM Algorithm for RTI-based Input-constrained NMPC

arXiv preprint arXiv:2402.16186

Liang Wu

Krystian Ganko

Shimin Wang

Richard D Braatz

2024/2/25

Physics-Informed Design of Hybrid Pulse Power Characterization Tests for Rechargeable Batteries

Debbie Zhuang

Michael Li

Vivek Lam

Richard Braatz

William Chueh

...

2023/11/20

On the use of physics in machine learning for imaging and quantifying complex processes

Bulletin of the American Physical Society

George Barbastathis

Qihang Zhang

Richard Braatz

Allan Myerson

Charles Papageorgiou

...

2024/3/7

Data-driven discovery and design of additives for controlled polymer morphology and performance

Sanket Diwale

Nathan W Volchko

Alexander J Bourque

Richard D Braatz

Gregory C Rutledge

2024/1/1

Efficient computation of robust, safe, fast charging protocols for lithium-ion batteries

Control Engineering Practice

Giacomo Galuppini

Marc D Berliner

Huada Lian

Debbie Zhuang

Martin Z Bazant

...

2024/4/1

See List of Professors in Richard D. Braatz University(Massachusetts Institute of Technology)

Co-Authors

H-index: 137
Manfred Morari

Manfred Morari

University of Pennsylvania

H-index: 71
Allan S Myerson

Allan S Myerson

Massachusetts Institute of Technology

H-index: 66
Paul I Barton

Paul I Barton

Massachusetts Institute of Technology

H-index: 65
Jay Hyung Lee

Jay Hyung Lee

KAIST

H-index: 62
Zoltan K. Nagy

Zoltan K. Nagy

Loughborough University

H-index: 51
Rolf Findeisen

Rolf Findeisen

Otto-von-Guericke-Universität Magdeburg

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