College of Engineering

Preparing you for your tomorrow

• Biomaterials
• Biomedical Engineering
• Tissue Engineering
• Cell Manufacturing

• cardiac valve calcification
• valve fusion and blood-brain barrier dysfunction

Knowledge gained from these studies will help guide the development of future medical interventions and regenerative therapies.

• bioseparation
• fermentation
• adaptive technology for the disabled

• Terahertz imaging and spectroscopy of biomedical, national security, and reverse engineering applications
• Inverse scattering problem
• Microwave imaging of breast cancer
• Computational electromagnetics
• MEMS antennas
• Landmine detection
• Rough surface scattering
• RF microwave modeling
• Breast cancer research using terahertz imaging and spectroscopy for cancer detection

• Resource allocation for healthcare problems
• Supply chain management
• Logistics and transportation
• Stochastic optimization

• Energy systems
• Health care
• Transportation systems

• Cancer systems biology
• Phenotypic plasticity and non-genetic heterogeneity in anticancer drug response
• Multiscale modeling of complex intracellular signaling pathways and cell-cell interactions
• Intrinsic stochasticity in cell fate decision making and biological function

• investigation of early stage protein aggregation using microchannel electrophoresis
• evaluation of algal properties for biofuel production

• charged separations
• extraction of oils and carbohydrates from algae

• Experimental cardiac surgery
• Virtual bioinstrumentation
• Medical device design and development
• Cardiovascular fluid and tissue mechanics
• In vitro modeling of the heart
• Boundary conditions and validation of computational biomechanical models

• Biosensors and bioinstrumentation
• Microbial predictive modeling
• Quantitative risk assessment
• Food safety engineering

• Logistics planning problems, especially those arising in health and humanitarian sectors
• Optimization
• Heuristics

• Multimodal microendoscopy
• Multiphoton imaging for gastrointestinal cancer
• Light sheet confocal microscopy
• Whole blood analysis

• Transportation systems engineering
• Logistics modeling
• Healthcare supply chain
• Economic decision analysis

• Soft Materials
• Biomaterials
• Self Assembly

• genome editing technologies
• Gene regulation in regenerative medicine and wound healing

• Reliability and Maintenance Modeling
• Healthcare Logistics
• Decision and Risk Analysis
• Engineering Optimization
• Probabilistic Design
• Systems Engineering

• carbohydrate chemistry
• smart polymers for drug delivery and protein purifications
• virus clearance
• protein folding and misfolding

developing quantitative biomarkers for non-invasive, real-time assessments of tissue structure and function to diagnose disease or trauma and guide therapies.

• changes in the tumor microenvironment in response to treatment
• relationship between tumor oxygenation and metabolism
• promoting undesirable tumor outcomes
• treatment resistance, recurrence, and metastasis

• Stem Cell Bioprocessing
• Biomaterials
• Biomarkers
• Pluripotency
• Genomic Stability
• Cancer Stem Cells
• Cellular Reprogramming
• Neural and Cardiovascular Bioengineering
• Regenerative Medicine
• Biomedical Engineering Education
• Healthcare Entrepreneurship

• computational modeling
• data science
• in vitro screening tools
• engineer personalied medicine approaches for combatting cardiac disease

• design, analysis, and optimization of logistics
• manufacturing
• health care
• transportation systems using computer simulation and operations research techniques

• mesenchymal stem cell therapy

• Creating pro-regenerative scaffolds by exploiting cell-ECM interactions
• Decellularized tissue matrices as disease model substrates
• Understanding the role of extracellular vesicles in cancer progression

• membrane science
• membrane technology

• Biomaterials
• Tissue Engineering and regenerative medicine
• Bioreactors and the influence of mechanical force on cell behavior
• Design of medical devices

• Mathematical modeling of stochastic systems with an emphasis on statistical and decision analysis as applied to health care and other service environments
• Methodology: stochastic processes, (partially observable) Markov decision process, simulation, statistical modeling and machine learning
• Applications: medical decision making, health policy and disparities research, process improvement in health care, inventory analysis, transportation