Research

CURRENT RESEARCH


Laboratory for Computational and Mathematical modeling in Medicine Engineering and Technology (CoMET Lab)

CoMET Lab is an interdisciplinary research group that promotes mathematical and computational methods as virtual laboratories to address problems in medicine, engineering and technology.

We enjoy combining mechanism-driven models (e.g. physics-based) and data-driven models (e.g. machine learning) with experimental and clinical data to understand organ function in health and disease. Our research is currently funded by the National Science Foundation and the National Institutes of Health.

Current CoMET members: Giovanna Guidoboni (Professor, Electrical and Computer Engineering), Mohamed Zaid (PhD student, Biomedical Science and Engineering), Rajat Rai (PhD student, Biomedical Science and Engineering), Caleb Hendrick (Undergraduate Student, Biomedical Engineering, Electrical Engineering, Mathematics)

CoMET Lab Logo authored by Margherita T. Aulisa


OCULAR PHYSIOLOGY IN HEALTH AND DISEASE

NIH R01EY034718, 2022-2026
SCH: SEEthroughGLAUCOMA: Smart Eye Emulator (SEE) to study glaucoma risk factors
G. Guidoboni (Electrical and Computer Engineering, University of Maine, ME)
A. Harris (Ophthalmology, Icahn School of Medicine at Mount Sinai, NY)
J. Keller (Electrical Engineering and Computer Science, University of Missouri, MO)
C. Wikle (Statistics, University of Missouri, MO)
E. Robinson (Social Work, University of Missouri, MO)

NSF-DMS 2108711/2327640, 2021-2024
Collaborative Research: Analysis and Control in Multi-Scale Interface Coupling between Deformable Porous Media and Lumped Hydraulic Circuits
L. Bociu (Mathematics, North Carolina State University, NC)
G. Guidoboni (Electrical and Computer Engineering, University of Maine, ME)


LOWER URINARY TRACT FUNCTION

NIH R01DK133605, 2022-2027
A new hybrid modeling framework combining biophysics and deep learning to predict and optimize peripheral neuromodulation outcomes in lower urinary tract disease
Z. Danziger (Biomedical Engineering, Florida International University, FL)
D. Erdogmus (Electrical and Computer Engineering, Northeastern University, MA)
G. Guidoboni (Electrical and Computer Engineering, University of Maine, ME)
J. Yin (Chemical and Biological Engineering, University of Wisconsin-Madison, WI)


Completed Projects

NIH OT2OD030524, 2020-2023
A New Paradigm for Systems Physiology Modeling: Biomechanistic Learning Augmentation with Deep Differential Equation Representations (BLADDER)
Z. Danziger (Biomedical Engineering, Florida International University, FL)
D. Erdogmus (Electrical and Computer Engineering, Northeastern University, MA)
G. Guidoboni (Electrical Engineering and Computer Science, University of Missouri, MO)
J. Yin (Chemical and Biological Engineering, University of Wisconsin-Madison, WI)
E. Alhajjar (United States Military Academy, NY)

APID: NSF BCS 2031703, 2020-2022
A comparison of the 1918 influenza pandemic and COVID-19 in Missouri: implications for current mitigation strategies in rural versus urban locations
L. Sattenspiel (Anthropology, University of Missouri, MO)
C. Orbann (Health Sciences, University of Missouri, MO)
G. Guidoboni (Electrical Engineering and Computer Science, University of Missouri, MO)
J. McElroy (Family and Community Medicine, University of Missouri, MO)
H. Wan (Molecular Microbiology and Immunology, Veterinary Pathobiology, Electrical Engineering and Computer Science, University of Missouri)
C. Wikle (Statistics, University of Missouri, MO)

NSF IIS 2027891, 2020-2021
RAPID: Geospatially-Enabled Deep Analytics for Real-time Mitigation and Response to COVID-19 Outbreak for American Rural Populations
C.-R. Shyu (Electrical Engineering and Computer Science, University of Missouri, MO)
G. Guidoboni (Electrical Engineering and Computer Science, University of Missouri, MO)
T. Matisziw (Geography, Civil and Environmental Engineering, University of Missouri, MO)
M. Becevic (Dermatology, University of Missouri, MO)
R. Hammer (Pathology, University of Missouri, MO)

CNRS-PICS, France, 2016-2018
Eye2Brain: A mathematical and computational multiscale model for cerebral and ocular flows and their interactions
C. Prud’homme (Mathematics, Université de Strasbourg, France)
G. Guidoboni (Mathematics, Université de Strasbourg, France)
M. Szopos (Mathematics, Université de Strasbourg, France)
A. Harris (Ophthalmology, Indiana University School of Medicine, IN)
R. Sacco (Mathematics, Politecnico di Milano, Italy)

LabEx IRMIA Institut de Recherche en Mathématiques, Interactions et Applications, France, 2015-2016
Eye2Brain: the eye as a window on the brain
G. Guidoboni (Mathematics, Université de Strasbourg, France)
C. Prud’homme (Mathematics, Université de Strasbourg, France)
M. Szopos (Mathematics, Université de Strasbourg, France)
A. Harris (Ophthalmology, Indiana University School of Medicine, IN)

LabEx IRMIA Institut de Recherche en Mathématiques, Interactions et Applications, France, 2015-2016
Mathematics meets the clinics: the eye as a window on the brain
G. Guidoboni (Mathematics, Université de Strasbourg, France)
C. Prud’homme (Mathematics, Université de Strasbourg, France)
M. Szopos (Mathematics, Université de Strasbourg, France)
A. Harris (Ophthalmology, Indiana University School of Medicine, IN)

NSF DMS 1134731/0811160 (former NSF-DMS 0811138/0811160), 2008-2012 Collaborative Research: Efficient solvers for free boundary flows of complex fluids
G. Guidoboni (Mathematics, Indiana University Purdue University Indianapolis, IN)
R. Glowinski (Mathematics, University of Houston, TX)
M. Pasquali (Chemical Engineering, Rice University, TX)

NSF-DMS 1853222/2021192, 2019-2023
Collaborative Research: Multiscale modeling of intraocular pressure dynamics and its role in ocular physiology and pharmacology
G. Guidoboni (Electrical Engineering and Computer Science, University of Missouri, MO)
A. Harris (Ophthalmology, Icahn School of Medicine at Mount Sinai, NY)

New York Eye and Ear (NYEE) Foundation, 2020-2021
Does COVID-19 Increase the Risk of Glaucoma Progression?
A. Harris (Ophthalmology, Icahn School of Medicine at Mount Sinai, NY)
G. Guidoboni (Electrical Engineering and Computer Science, University of Missouri, MO)
L. Pasquale (Ophthalmology, Icahn School of Medicine at Mount Sinai, NY)
B. Siesky (Ophthalmology, Icahn School of Medicine at Mount Sinai, NY)
A. Verticchio (Ophthalmology, Icahn School of Medicine at Mount Sinai, NY)

Horizon 2020 – the Framework Programme for Research and Innovation, European Commission, 2016-2018
MSO4SC: Mathematical Modelling, Simulation and Optimization for Societal Challenges with Scientific Computing
Consortium: Atos Spain SA (Spain, Coordinator); Technische Universität Berlin (Germany); Université de Strasbourg (France); Stiftelsen Sintef (Norway); BCAM – Basque Center for Applied Mathematics (Spain); Széchenyi István University (Hungary); Zuse Institute Berlin (Germany); Fundación Pública Gallega Centro Tecnológico de Supercomputación de Galicia (Spain); KTH – Kungliga Tekniska Högskolan (Sweden); European Service Network of Mathematics for Industry and Innovation (Netherlands)

Chair Gutenberg, Cercle Gutenberg France, 2015-2016
Eye2Brain project – Graduate Student Support
G. Guidoboni (Mathematics, Université de Strasbourg, France)
C. Prud’homme (Mathematics, Université de Strasbourg, France)
M. Szopos (Mathematics, Université de Strasbourg, France)
A. Harris (Ophthalmology, Indiana University School of Medicine, IN)

NSF DMS 1224195, 2012-2016 Mathematical modeling of ocular mechanics, circulation and oxygenation and their relation to glaucoma
G. Guidoboni (Mathematical Sciences, Indiana University Purdue University Indianapolis, IN)
J. Arciero (Mathematical Sciences, Indiana University Purdue University Indianapolis, IN)

Indiana University Collaborative Research Grant, Office of the Vice President for Research, 2011-2012 Mathematical modeling of ocular blood flow and its relation to glaucoma
G. Guidoboni (Mathematical Sciences, Indiana University Purdue University Indianapolis, IN)
A. Harris (Ophthalmology, Indiana University School of Medicine, IN)

Institute for Biomedical Imaging Sciences, 2008
Mitral Valve: 3D-Image sequence analysis and mechanical modeling
R. Azencott (Mathematics, University of Houston, TX)
S. Canic (Mathematics, University of Houston, TX)
R. Glowinski (Mathematics, University of Houston, TX)
G. Guidoboni (Mathematics, University of Houston, TX)
W. Zoghbi (The Methodist Hospital, Houston, TX)
S. Little (The Methodist Hospital, Houston, TX)

ARP 003652-0051-2006 Texas Education Board Advanced Research Program, 2006-2008
Mathematical Models for cardiovascular stenting
S. Canic (Mathematics, University of Houston, TX)
G. Guidoboni (Mathematics, University of Houston, TX)