Current Projects

Welcome to the Inverse Problems and Optimization in Mechanics (IOMech) Lab!

Our Main Research Areas are:

  • Computational Mechanics & Inverse Problems
  • Design & Control
  • Optimization & Uncertianty Quantification
  • Medical Imaging

IOMechLab Current Projects and associated research areas are listed below:

CPS: Medium: Collaborative Research: Smart Ultrasound ELAS


Research Area: Design & Control; Medical Imaging
Hip Undeformed Standing

FAIS - Model-Based Surgical Planning for FAIS

Develop a framework for surgical planning of Femoroacetabular Hip Impingement Surgery

Research Area: Design & Control

Generalized Methods for Computing Residual Stress

Develop a generalized residual stress inversion technique capable of being applied on any arbitrary geometry

Research Area: Computational Mechanics & Inverse Problems
Reactor Vessel Damage

GUARDIAN: General Active Sensing for conDItion AssessmeNt

Develop a dependable, autonomous or semi-autonomous, and minimally disruptive framework for monitoring equipment and components in nuclear reactors

Research Area: Computational Mechanics & Inverse Problems; Design & Control
Classification of Peripheral Arterial Disease

Machine Learning Strategies for Classification of Peripheral Arterial Disease in Lower Extremities

Development of a new paradigm for intelligent Continuous Wave Doppler ultrasound audio systems capable of accurately staging arterial occlusive disease

Research Area: Medical Imaging
Arterial Simulation

Measuring Arterial Material Properties using Wave-based Approaches with Ultrasound and Computational Models

Explore the characterization and control of ultrasound-induced arterial motion

Research Area: Computational Mechanics & Inverse Problems; Design & Control; Medical Imaging
fluid-structure interaction (FSI) model of the human vocal folds

Modeling & Control of the Human Voice

Develop a system to model and control human phonation to aid in surgical planning

Research Area: Design & Control
sand particles

Novel Techniques for Topology Optimization

Develop topology optimization approaches for vibration control based on the error in consititutive equations approach and adaptive eigenfunction expansions

Research Area: Design & Control