activity
20232026
most citedReal-time Estimation of Bound Water Concentration during Lyophilization with Temperature-based State Observers

14 citations · 19 across the 26 of their papers we have counts for

collaborators

28 papers

cs.CE2026

Integrated Population Balance and Multiphysics Modeling for Predicting Undesired Agglomeration in Small Molecule Manufacturing

Prakitr Srisuma, Peter Hou, Shashank Venkat Muddu +3

Agitated filter dryers (AFDs) are a crucial unit operation in small molecule manufacturing that enables simultaneous filtration, washing, and drying of active pharmaceutical ingred…

eess.SY2026

Nonadaptive Learning in Robust Nonlinear Output Regulation

Shimin Wang, Martin Guay, Richard D. Braatz

This paper considers robust nonadaptive regulation for general nonlinear systems in an output-feedback setting with arbitrarily high relative degree. We develop a nonadaptive desig…

physics.flu-dyn2026

A Lego Block Approach to Flow in Complex Microfluidic Networks

Etienne Boulais, Richard D. Braatz

We present a new way to construct analytical solutions for flow in complex microfluidic channel networks, as well as planar disordered media. Using a combination of Schwarz-Christo…

eess.SY2026

Least-Squares Multi-Step Koopman Operator Learning for Model Predictive Control

Liang Wu, Wallace Gian Yion Tan, Leqi Zhou +2

MPC is widely used in real-time applications, but practical implementations are typically restricted to convex QP formulations to ensure fast and certified execution. Koopman-based…

physics.chem-ph2025

Advanced Characterization Methods for Crystals of an Extraordinary Material

Vivekananda Bal, Jackie M. Wolfrum, Paul W. Barone +4

Physicochemical characterization of materials is central to the field of science and engineering and is essential to design new/engineered materials with specific properties. Assay…

math.OC2025

A Time-certified Predictor-corrector IPM Algorithm for Box-QP

Liang Wu, Yunhong Che, Richard D. Braatz +1

Minimizing both the worst-case and average execution times of optimization algorithms is equally critical in real-time optimization-based control applications such as model predict…

physics.flu-dyn2025

Radial Variations in Residence Time Distribution for Pipe Flows

Etienne Boulais, Richard D. Braatz

Suspensions of low-diffusing particles in pipe flows exhibit a difference in age at different radial positions. Particles near the channel walls have higher residence times than th…

math.OC2025

Highly Efficient Optimal Control for Lyophilization via Simulation of Discrete/Continuous Mixed-index Differential-algebraic Equations

Prakitr Srisuma, Richard D. Braatz

This article presents a highly efficient optimal control algorithm and policies for lyophilization (also known as freeze drying). The optimal solutions and control policies are der…

math.OC2025

A Quadratic Programming Algorithm with Time Complexity

Liang Wu, Richard D. Braatz

Solving linear systems and quadratic programming (QP) problems are both ubiquitous tasks in the engineering and computing fields. Direct methods for solving systems, such as Choles…

math.OC2025

Perturbed Gradient Descent Algorithms are Small-Disturbance Input-to-State Stable

Leilei Cui, Zhong-Ping Jiang, Eduardo D. Sontag +1

This article investigates the robustness of gradient descent algorithms under perturbations. The concept of small-disturbance input-to-state stability (ISS) for discrete-time nonli…

eess.SY2025

Data-Driven Nonlinear Regulation: Gaussian Process Learning

Telema Harry, Martin Guay, Shimin Wang +1

This article addresses the output regulation problem for a class of nonlinear systems using a data-driven approach. An output feedback controller is proposed that integrates a trad…

math.OC2025

Arbitrarily Small Execution-Time Certificate: What was Missed in Analog Optimization

Liang Wu, Ambrose Adegbege, Yongduan Song +1

Numerical optimization (solving optimization problems using digital computers) currently dominates but has three major drawbacks: high energy consumption, poor scalability, and lac…

physics.chem-ph2025★ 1 cited

Mechanistic Modeling of Lipid Nanoparticle (LNP) Precipitation via Population Balance Equations (PBEs)

Sunkyu Shin, Cedric Devos, Aniket Pradip Udepurkar +3

Lipid nanoparticles (LNPs) are precisely engineered drug delivery carriers commonly produced through controlled mixing processes, such as nanoprecipitation. Since their delivery ef…

q-bio.MN2025★ 1 cited

Emergent kinetics of in vitro transcription from interactions of T7 RNA polymerase and DNA

Nathan M. Stover, Marieke De Bock, Julie Chen +4

The in vitro transcription reaction (IVT) is of growing importance for the manufacture of RNA vaccines and therapeutics. While the kinetics of the microscopic steps of this reactio…

cs.CE2025

Probabilistically Robust Uncertainty Analysis and Optimal Control of Continuous Lyophilization via Polynomial Chaos Theory

Prakitr Srisuma, George Barbastathis, Richard D. Braatz

Lyophilization, aka freeze drying, is a process commonly used to increase the stability of various drug products in biotherapeutics manufacturing, e.g., mRNA vaccines, allowing for…

eess.SY2025

EIQP: Execution-time-certified and Infeasibility-detecting QP Solver

Liang Wu, Wei Xiao, Richard D. Braatz

Solving real-time quadratic programming (QP) is a ubiquitous task in control engineering, such as in model predictive control and control barrier function-based QP. In such real-ti…

cond-mat.soft2025★ 1 cited

A Phase Diagram for Crystallization of a Complex Macromolecular Assembly

Vivekananda Bal, Jacqueline M. Wolfrum, Paul W. Barone +4

Crystallization of biological molecules has high potential to solve some challenges in drug manufacturing. Thus, understanding the process is critical to efficiently adapting cryst…

physics.app-ph2024

An Integrated Experimental and Modeling Approach for Crystallization of Complex Biotherapeutics

Vivekananda Bal, Moo Sun Hong, Jacqueline M. Wolfrum +5

Crystallization of proteins, specifically proteins of medical relevance, is performed for various reasons such as to understand the protein structure and to design therapies. Obtai…

physics.med-ph2024

Selective Enrichment of Full AAV Capsids

Vivekananda Bal, Jacqueline M. Wolfrum, Paul W. Barone +4

Gene therapies using recombinant adeno-associated virus (rAAV) have been developed to treat monogenic and acquired diseases but are currently the most expensive drugs due, in part,…

eess.SY2024★ 1 cited

Simulation-based Approach for Fast Optimal Control of a Stefan Problem with Application to Cell Therapy

Prakitr Srisuma, George Barbastathis, Richard D. Braatz

This article describes a new, efficient way of finding control and state trajectories in optimal control problems by reformulation as a system of differential-algebraic equations (…

cs.CE2024

Mechanistic Modeling of Continuous Lyophilization for Biopharmaceutical Manufacturing

Prakitr Srisuma, Gang Chen, Richard D. Braatz

Lyophilization (aka freeze drying) is a typical process in pharmaceutical manufacturing used for improving the stability of various drug products, including its recent applications…

q-bio.GN2024★ 1 cited

HEK-Omics: The promise of omics to optimize HEK293 for recombinant adeno-associated virus (rAAV) gene therapy manufacturing

Sai Guna Ranjan Gurazada, Hannah M. Kennedy, Richard D. Braatz +3

Gene therapy is poised to transition from niche to mainstream medicine, with recombinant adeno-associated virus (rAAV) as the vector of choice. However, this requires robust, scala…

eess.SY2024★ 14 cited

Real-time Estimation of Bound Water Concentration during Lyophilization with Temperature-based State Observers

Prakitr Srisuma, George Barbastathis, Richard Braatz

Lyophilization (aka freeze drying) has been shown to provide long-term stability for many crucial biotherapeutics, e.g., mRNA vaccines for COVID-19, allowing for higher storage tem…

eess.SY2024

A Parallel Vector-form Decomposition for Accelerating Execution-time-certified -penalty Soft-constrained MPC

Liang Wu, Liwei Zhou, Richard D. Braatz

Handling possible infeasibility and providing an execution time certificate are two pressing requirements of real-time Model Predictive Control (MPC). To meet these two requirement…