George Mason University
George Mason University Mason
George Mason University

Summer Research Program

The Summer Research Program application is now available. 

If you are interested in PhD studies in engineering, computer science, and statistics and curious enough to come to the Washington D.C. area, our summer research program may be for you.

Mason Engineering graduate students will find a community, study and research resources, and fun opportunities to fill downtime on the Fairfax campus.

We're recruiting top undergraduates and master's students at select international universities to conduct research with us from July 6 to July 24, 2020. It's a chance for you to get to know us, for us to get to know you, and to collaborate on a real research project that might turn into something more both here and at your current university. 

You will live in the George Mason University dorms in the Northern Virginia suburbs of Washington, D.C., working on faculty-led research solving real problems during the week. On the weekends, you can tour the nation's capital, check out the city's entertainment scene in Georgetown or Adams Morgan, go to a Washington Nationals major league baseball game, or ride the bus to New York City.

"During my stay at Mason for [the] 3DR summer program, I developed strong ties with the faculty and PhD advisor… that's why I decided to join the Volgenau School of Engineering. The faculty members at VSE are amazing both from [a] technical point of view and assisting students in their research.

…[I]f you are looking to nurture your abilities and sharpen your skills then [the] 3DR program would introduce potential students to some of the latest technology and research being conducted."

Saad Ullah, PhD Civil and Infrastructure Engineering '18 George Mason University

Who can apply?

Admission to this program is competitive. Here are the guidelines:

  • You must be a full-time undergraduate or full-time master's student graduating from your home institution in 2021. 
  • You must be thinking about PhD studies in an engineering program in the U.S., and possibly George Mason University.
  • You must be interested in the research projects listed below, and you must have the skills needed to contribute to the project.
  • You must have a strong positive recommendation from a faculty member at your home institution. 
What does it cost?
  • There is no application fee for this program.
  • If you are accepted, you will live in George Mason University dorms on campus, and your accommodations and meals from July 6 - July 24 will be paid for by Mason.
  • You will be responsible for your return air and ground transportation costs from your home country to our campus; your U.S. B1/B2 prospective student visa application costs, if applicable; your health insurance for the period of the program; and other personal expenses, and discretionary spending (for example: shopping and traveling). Personal expenses can average from $250 to $500. 
What's the schedule?
  • We will review applications as they arrive, so early application is recommended for the best consideration.
  • Reviews will begin immediately. We will follow up with selected candidates and their recommending professors.
  • Offers of admission to the program will be extended starting in February; applicants have seven days to accept or decline an offer.
  • If you are accepted into the program, you must apply for and receive your visa (if the U.S. requires one for your visit) by March 1; we will provide a letter of invitation to accompany your visa application. You must confirm purchase of both your health insurance and your flight to the Washington D.C. area by June 1.
  • Arrrive at the university to move into your dorm room on Saturday, July 4 or Sunday, July 5.
  • Program orientation will begin on Monday, July 6. You will conduct research under the direction of a Volgenau School of Engineering faculty member on weekdays, but weekends are yours to explore the area. 

Summer 2020 Research Topics


 

Bioengineering

(BIOE1) Precision delivery of vaccines

Messenger RNA (mRNA) is one of the newest frontiers in the creation of vaccines and antibodies to prevent and treat a wide range of diseases. This research engineers ionizable lipid-based nanoparticies to deliver mRNA to the right target cells in the body.

Preferred academic background:

biomedical engineering, chemistry, physics, biology

(BIOE2) Restoring capabilities to people with missing limbs 

This research develops next generation prosthetics and exoskeletons for people with missing limbs and mobility difficulty. Students work at the intersection of neuroscience, medical imaging and biomedical engineering. 

Preferred academic background:

MATLAB, prior laboratory experience

(BIOE3) Defeating arthritis

Arthritis disables many people and especially older adults. This research uses ultrasound imaging to understand the roles of mechanical and enzymatic catabolic stress on arthritic joints, to explore ways to regenerate bones and cartilage.

Preferred academic background:

MATLAB, programming, 3D image analysis, histology, tissue culture

(BIOE4) Creating tools for personalized medicine

Personalized medicine allows us to tailor treatment for disease to each person's unique characteristics. It also requires far deeper understanding of the disease. This research uses polymers introduced into the blood to reveal details of infection and inflammation.

Preferred academic background:

molecular cell biology, aseptic technique, immunology

 

Computing

(COMP1) Instructable cognitive agents for cybersecurity

Research a computational theory of evidence-based reasoning for instructable cognitive agents, enabling everyone to be a programmer by teaching the agents to perform evidence-based reasoning tasks, such as computer intrusion detection or medical diagnosis, rather than programming them. Apply the theory to develop instructable agents for the autonomous detection of novel computer intrusions.

Preferred academic background:

cybersecurity, artificial intelligence, JAVA

(COMP2) Preventing cascading failures in complex IT systems

Any complex IT system - for example, electronic banking - depends on many IT components. As a result, a cyberattack that disrupts one component, can lead to a cascading failure of the complete system. This research leverages graph theory and network traffic analysis to discover such dependencies and engineer countermeasures to prevent cascading failures.

Preferred academic background:

cybersecurity, math, coding (Java preferred)

 

Expertise