This preliminary program is subject to change.

Modeling and Control of Biomedical Systems II


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


Chair:
Peyton C. Richmond
Associate Professor
Lamar University
Chemical Engineering Department
4400 MLK Blvd
Beaumont, TX 77710
Phone Number: 409-880-2147
Fax Number: 409-880-2197
Email: peyton.richmond@lamar.edu

Co-Chair:
John R. Richards

Papers:
Advances in Control Algorithms for Blood Glucose Regulation in the Intensive Care Unit (ICU)
Jing Sun, Rensselaer Polytechnic Institute; B. Wayne Bequette, Rensselaer Polytechnic Institute; Hyunjin Lee, Rensselaer Polytechnic Institute
Optimal Control of Closed Loop Neural Prostheses
Gautam Kumar, Lehigh University; Vikram Aggarwal, Johns Hopkins University; Nitish V. Thakor, Johns Hopkins University; Mayuresh V. Kothare, Lehigh University
Multi-Scale Dynamics and Feedback in the Pathogen-Induced Host Inflammatory Response
Robert S. Parker, University of Pittsburgh; Justin S. Hogg, University of Pittsburgh; Gilles Clermont, University of Pittsburgh
Modeling and Optimization of Biosensors Exploiting Restriction Fragment Length Polymorphism
Jeffrey Kantor, University of Notre Dame; Zhichao (Evan) Zhou, University of Notre Dame
A Control Engineering Approach to Understanding the Paradoxical Roles of TGF-β in Cancer
Seung-Wook Chung, University of Delaware; Carlton R. Cooper, University of Delaware; Mary C. Farach-Carson, University of Delaware; Babatunde A. Ogunnaike, University of Delaware
Adaptation and Calibration for Accurate Inference of Blood Glucose Using Noninvasive Inputs
Derrick Rollins, Iowa State University; Nidhi Bhandari, Iowa State University; Nisarg Vyas, BodyMedia Inc.
Optimization and Data Driven Strategies for Robust Treatment Planning of Cancer Dendritic Cell-Interleukin Therapy
Lakshmi Kiran Kanchi, National University of Singapore; Lakshminarayanan Samavedham, National University of Singapore; Mai Chan Lau, National University of Singapore
See more of this Group/Topical: Computing and Systems Technology Division