Faculty Research

Speed School faculty members are the leaders of our research enterprise. Their efforts support our mission to advance knowledge and to use that knowledge for economic development. Faculty members of our eight departments have established research excellence in areas including energy and sustainability, advanced manufacturing and logistics, engineering human health, cyber-enabled discovery, and provide an underpinning strength in materials engineering and nanoscience. This research is supported by multiple Federal, State and company sponsors.

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FacultyDept.Research Interest
Gina E. BertocciBioengineering

injury biomechanics, rehabilitation, assistive technology, pediatric injury, child abuse detection, veterinary orthopedics

Ayman El-BazBioengineering

The BioImaging Laboratory (Director: Dr. El-Baz) was established in August 2006 at the University of Louisville and is committed to excellence in research and teaching. The primary focal point of the BioImaging Lab is to develop and implement innovative and ground-breaking techniques for use in image-guided surgeries, and the creation of non-invasive image-based diagnostic systems, which can help to revolutionize the early diagnosis of numerous diseases and brain disorders. The work of the BioImaging lab has achieved worldwide recognition and is helping to pave the way for upcoming cutting-edge medical systems. The current research projects in the BioImaging lab include:

  1. Development of a new image-based technology for the early diagnosis of lung cancer (this technology has been licensed by PulmoCAD, Inc, St. Louis, MO),
  2. Development of techniques for the early diagnosis of Autism, based on using magnetic resonance images to analysis various brain structures (several companies show their interest to license this technology such as Siemens Medical Solution, Malvern, PA, and PulmoCAD, Inc, St. Louis, MO),
  3. Development of a new technology for the early detection of Acute renal rejection, based on using dynamic magnetic resonance images,
  4. Development of a new technology for the early diagnosis of prostate cancer using non-invasive diffusion magnetic resonance images, and
  5. Development of image based systems for the early detection of heart failure using tagged, cine, and late contrast magnetic resonance images.
Robert KeyntonBioengineering

Development of Bio-Micro-Electro-Mechanical Systems (BioMEMS), nanofabrication, biomaterials, development of micro Total Analysis Systems (μTAS), experimental and computational microfluidics, experimental fluid mechanics, cardiovascular mechanics, and acoustic transducer design and fabrication

Steven KoenigBioengineering

Biomedical engineering with broad research focus to understand the effect of mechanical circulatory support (MCS) devices on the heart and vasculature for the treatment of cardiac dysfunction, and how it may lead to pathologic remodeling.  Specific research interests include: biomedical instrumentation for investigating hemodynamic efficacy; elucidating mechanisms of recovery; and developing effective control strategies for MCS device-based therapy.  Our laboratory uses computer simulation, mock circulation, acute and chronic animal models, and human cadavers to comprehensively simulate and analyze the effect of MCS devices on cardiovascular function in compliance with Good Laboratory Practices (GLP). Our laboratory has extensive experience and expertise with hemodynamic data acquisition and analysis; MCS device hemocompatibility, safety, and reliability testing; and MCS device development.  Specifically, we’ve successfully tested and/or developed MCS devices with the following industry partners: Abiomed (AbioCor, Impella 2.5, Impella 5.0); HeartWare (HVAD, MVAD, tMVAD, biMVAD); UofL (AVD, Viscous Impeller Pump; Fontan Pump); SCR (Symphony); Thoratec (HM XVE, PVAD, IVAD, HM II, HM III, and HM X).

Currently, our research foci include:

  1. develop MCS therapy(s) to promote myocardial recovery in heart failure patients;
  2. develop MCS control strategies to deliver phasic flow with rotary pumps, and
  3. elucidating mechanism(s) of cardiovascular remodeling in heart failure patients.
Specific biomedical engineering expertise includes, data acquisition and analysis systems; biomedical instrumentation and transducers; FDA, IACUC and IRB approved protocols; blood trauma testing; and Good Laboratory Practice (GLP) program.
Xiao-An FuChemical Engineering

Breath analysis for disease biomarker discovery. gas sensors, microelectrodes

Kyung KangChemical Engineering

(1) Nano-Biotechnology:

* Nano-metal particles for Fluorescence Quenching and Enhancement

* Nanoparticles for Optical Contrast in Optical Mammography

* Application of Nano-magnetic Particles for Tumor Specific Hyperthermia

(2) Photonics I – Real-time, Micro-Scale, Immuno Optical, Multimarker, Biosensing System: Biosensing systems for disease diaganosis/monitoring/prognosis –

(3) Photonics II – Bio-system Characterization and Imaging

(4) Characterization of Primo-Vascular System

(5) Bio-Separation - Bioseparation (Experimental/Theoretical)

(6) Numerical Analysis and Computer Simulation

- Co-Developer of a probabilistic/numerical technique, the B-W-K Technique.

(7) Application of Total Quality Management (TQM) in Bio-Engineering Research and Education

Mahendra SunkaraChemical Engineering

Current research interests include renewable energy technologies such as solar cells, Li Ion batteries, production of hydrogen from water and process development for growing large crystals of diamond, gallium nitride and bulk quantities of nanowires, novel carbon morphologies.

Gerold WillingChemical Engineering

Colloidal Suspensions, Complex Fluids, Colloidal Stability, Solar Thermal Energy Systems, Water Utility Materials, Rubber Degradation, Hydrogels, Applied Separation Processes, Atomic Force Microscopy

Nageshwar BhaskarCivil & Environmental Engineering
  • Sustainable Flood Plain Delineation and Management
  • Deterministic and stochastic hydrology;
  • Storm water management including analysis of combined sewer systems;
  • Hydrologic and hydraulic analysis of dams; dam safety analysis;
  • Reservoir operation and safe yield analysis;
  • Application of statistical methods in water    resources engineering including frequency analysis of floods and low-flows; regionalization of flood data;
  • Application of remote sensing and GIS concepts in hydrologic modeling and water resources.
  • Applications and extensions of operations research techniques to engineering and management studies, in particular, water resources engineering;
  • Systems analysis of single and multiple reservoir systems; mathematical optimization techniques; statistical analysis;
  • Modeling water quality in surface water systems; and
  • Modeling of water resources systems using simulation methodologies; flood simulation and damage analysis.
Mark FrenchCivil & Environmental Engineering

Water resources, hydraulics, hydrology, water supply and water treatment, hydrologic forecasting

Young H. KimCivil & Environmental Engineering
Zhihui SunCivil & Environmental EngineeringConstruction materials, early-age properties of concrete, non-destructive testing, microstructure, numerical simulation
Dar-Jen ChangComputer Engineering & Computer Science

Computer Garphics, Computer Games, and GPU Data-Parallel Computing

Mehmed KantardzicComputer Engineering & Computer Science

Data mining & knowledge discovery, machine learning, soft computing, click fraud detection and prevention, concept drift in streaming data,  distributed intelligent systems

Eric RouchkaComputer Engineering & Computer Science

bioinformatics, computational biology, big data, next-generation sequence analysis

Roman YampolskiyComputer Engineering & Computer Science
Amir AminiElectrical & Computer Engineering

Physics and mathematics of medical imaging, Cardiovascular Imaging, MRI of flow and motion, image-based cardiovascular mechanics, mathematical image analysis

Aly FaragElectrical & Computer Engineering

Dr. Farag research focus is model-based computer vision and image understanding with practical and biomedical applications. His contributions have been in active computer vision, image modeling, segmentation, registration, and object reconstruction.

Tamer InancElectrical & Computer Engineering

Autonomous Robotics, Nonlinear Trajectory Generation for UAVs, Robust Active Vision Systems, Robust Control and Identification, Biometrics and Biomedical Problems.

Michael McIntyreElectrical & Computer Engineering
  • Control Applications for Electrical Energy Systems, Electrical Machinery, Power Electronic Interfaces, Renewable Sources, Smart Grid Applications, and Advanced Battery Management Systems.
  • Electric Transportation Systems such as Electric Vehicles, Hybrid Electric Vehicles, and Plug-In Hybrid Electric Vehicles
  • Signal Estimation for Electrical Energy Systems
Karla WelchElectrical & Computer Engineering

Emotion Mapping of Children through Human-robot Interaction and Affective Computing
Technology being developed by Dr. Karla Welch may create a completely new intervention strategy for children with autism. Low-cost, highly deployable technologies are being developed for human-robot interactions where the robot senses the human’s emotional state and then alters its behavior to address a specific human need. With an increase in the number of machines in daily life, there is a need for more intuitive systems that can interpret implicit as well as explicit means of communication. This project, funded by the National Science Foundation, acquires human physiological signals from wireless, wearable sensors and uses this data to predict the human's affective state. Researchers are testing comfortable locations for sensor placement, such as in an armband or shoe. Interactions include an embodied robot and teenagers, with and without autism, playing games of varying difficulty. During periods of waiting (a stress-inducing period for autistic individuals) the system makes alterations based on the physiological data to improve human-robot interaction and to improve the user experience.

Suraj M. AlexanderIndustrial Engineering
Lihui BaiIndustrial Engineering
Brent E. StuckerIndustrial Engineering

Additive Manufacturing

John S. UsherIndustrial Engineering

In the area of scholarly research, Dr. Usher has acted as PI or Co-PI on approximately $8 million worth of funded research for organizations such as such as the Office of Naval Research, Defense Logistics Agency, National Science Foundation, IBM, AT&T Bell Laboratories, and General Electric. He has authored over 40 papers in refereed journals, over 70 publications appearing as conference proceedings, book articles, and technical reports.  He has successfully directed over 100 PhD, M.Eng, and MSIE theses and projects in a variety of industrial engineering related topics.

Mickey R. WilhelmIndustrial Engineering

Facilities location and layout, fuzzy linguistic variables, applied operations research

Roger D. BradshawMechanical Engineering
W.G. CobournMechanical EngineeringAir quality modeling
Sam ParkMechanical Engineering

Multiphase transport in electrochemical power and conversion devices including, fuel cells, flow batteries, energy storage systems, and chemical sensors. Biomass and biofuel.

Christopher RichardsMechanical Engineering
Stuart WilliamsMechanical Engineering