Loyola University Maryland

Department of Engineering

Research Opportunities for Undergraduates in Engineering

image divider

Professors at Loyola each have on-going research activities in their respective fields of expertise. This allows them to integrate the latest technological findings into the classrooms, ensuring that students have access to state-of-the-art materials and methods. As our school’s focus is on undergraduate education, all of the facilities and laboratories in our department are available to our students for teaching and research purposes. Professors often involve their students to assist with their research activities. Such opportunities are great preparation for our students as they are entering a rapidly advancing technology-based workforce. This is also great preparation for students who choose to pursue an advanced degree in a graduate program.

There are opportunities for undergraduate students to do research in our department through the Hauber Summer Research Fellowship and by doing an independent research study for course credit.

Find out more about ongoing research in the department by clicking on the professor's name below:

Mechanical and Materials Engineering

Faculty research interests include determining the microstructure and mechanical properties of metals/alloys of industrial interest, developing new methods for identifying micro-cracks in materials before they lead to catastrophic failure, and developing systems for delivering building ventilation flows more efficiently while still ensuring human comfort.

  • Rob Bailey: computational fluid dynamics simulation; biofuel microreactor development; air conditioning/heating ventilation system design
  • Wayne Elban: indentation hardness testing of industrial materials; historical ferrous metallurgy
  • Rob Pond: crystal plasticity, failure analysis of engineering structures, nondestructive examination of materials, corrosion
  • Yanko Kranov

Electrical and Computer Engineering

Faculty research interests include developing hardware and circuits for improving the performance of computers, the design of antennas for the more efficient transmission of signals, signal processing technology for biomedical applications, and development of algorithms for intelligent machines.

  • Raenita Fennerelectromagnetic characterization of materials, wearable antennas
  • David Hoehigh performance computing, nano-circuit design 
  • Suzanne Keilson: biomedical engineering, sensory systems and signal processing
  • Glenn Kohne: artificial intelligence, machine learning, evolutionary circuit