This preliminary program is subject to change.

Modeling and Control of Biomedical Systems I


Description:
Papers are sought that address modeling, control, and analysis approaches to problems in biomedical engineering and the life sciences. Experimental, theoretical, and computational contributions are encouraged. Scales of interest range from the intracellular to the organism-level, depending on the manner in which the systems problem is posed. Suitable topics include, but are not limited to, (non)linear modeling of dynamical biosystems, control-relevant modeling, disease treatment design and optimization, and open- and closed-loop analysis.

Sponsor:
Systems and Process Control
Co-Sponsor(s):
Food, Pharmaceutical & Bioengineering Division (15)


Chair:
Robert S. Parker
Associate Professor
University of Pittsburgh
Chemical and Petroleum Engineering
1249 Benedum Hall
Pittsburgh, PA 15261
Phone Number: +1-412-624-7364
Fax Number: 412-624-9639
Email: rparker@pitt.edu

Co-Chair:
Jin Wang

Papers:
Multi-Scale Modeling of Tumor Growth and Vasculature Remodeling
Francisco G. Vital-Lopez, The Pennsylvania State University; Michelle Hutnik, The Angiogenesis Foundation; Costas D. Maranas, The Pennsylvania State University; Antonios Armaou, The Pennsylvania State University
Automatic Insulin Delivery for Type 1 Diabetes Mellitus Using Offline Learning-Type Model Predictive Control (L-MPC)
Youqing Wang, University of California, Santa Barbara; Matthew W. Percival, University of California, Santa Barbara; Howard Zisser, Sansum Diabetes Research Institute; Lois Jovanovic, Sansum Diabetes Research Institute; Francis J. Doyle III, University of California, Santa Barbara
Improvements Upon Least-Squares Model Identification - An Application to Diabetes Modeling
Daniel A. Finan, Technical University of Denmark; John Bagterp Jørgensen, Technical University of Denmark; Niels Kjølstad Poulsen, Technical University of Denmark; Henrik Madsen, Technical University of Denmark
Robust Predictive Control Strategies for Glycemic Regulation in Insulin Dependent Diabetes Mellitus Patients
Srinivas Karra, Texas Tech University; M. Nazmul Karim, Texas Tech University
Improved Estimation and Control for Large-Scale Models of Infectious Disease Spread
George Abbott III, Texas A&M University; James Young, Texas A&M University; Scott Kolodziej, Texas A&M University; Carl D. Laird, Texas A&M University
Modeling Interictal and Preictal Seizure States Using Stochastic Differential Equations
Jorge L. Garriga, Drexel University; Masoud Soroush, Drexel University; Michael R. Sperling, Thomas Jefferson University
Optimal Defibrillatory Shock
Stevan Dubljevic, Unversity of Alberta
See more of this Group/Topical: Computing and Systems Technology Division