P.C. Rossin College of
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Bioengineering Graduate Q&A: Swetha Chandrasekar

Swetha Chandrasekar is an engineering graduate student pursuing her Ph.D. in Bioengineering. She earned her B.S. in Biomedical Engineering at Rutgers University's School of Engineering.

Chandrasekar came to Lehigh with an extensive amount of experience, including research in tissue engineering at Drexel University, studies in bioplastics and synthetic biology with Utah State's Biological Engineering Department, bioMems and Electrical Engineering at Purdue University's Birck Nanotechnology center, and research in biochemistry and protein purification at Princeton University.

Vincent Graber wins selective DOE award to conduct grad research on fusion

PhD candidate in Eugenio Schuster’s Plasma Control Group will work with alum Dan Boyer’14 PhD on burn control simulation at Princeton Plasma Physics Lab

A good student doesn’t necessarily equate to a good researcher, says Eugenio Schuster, a professor of mechanical engineering and mechanics in Lehigh University’s P.C. Rossin College of Engineering and Applied Science. 

Making good health accessible to all

With valuable experiential learning and a graduate degree under her belt, bioengineer and Rhodes Pakistan finalist Maryam Khan ’19 ’20G is working toward making medicines more available and affordable to those in need

Maryam Khan has a bold vision: She wants every person to have access to adequate medical care, regardless of their socioeconomic status or the country they call home.
 
It’s an issue that has always concerned the bioengineer.
 

2020 Industrial and Systems Engineering Undergraduate and Master’s Research Symposium

The Industrial and Systems Engineering Department held their annual Undergraduate and Master’s Research Symposium on May 1, 2020.
 
Professor Xui Yang organized and facilitated this year’s online event that showcased the exceptional capabilities of ISE’s undergraduate and master’s students, and highlighted the resources and opportunities the department provides to them. The four teams below presented their dynamic research topics:
 

A shot to learn about vaccine development

There’s a reason why chemical engineering major Sophia Mayone ’21 became interested in science at a young age.

“My youngest brother was born with a chronic illness,” she says. “I was eight years old, but started asking questions about biology, cells, genes, and why he had this disease.

“Because I started asking those types of questions early in life, I feel like it stuck with me. My interest in science, technology, and studying diseases grew from there.”

Miranda Royds ’21: Positivity, gratitude fuel success

Bioengineering student and multi-sport athlete Miranda Royds ’21 has a daily ritual that helps her maintain perspective and keeps her upbeat.

"I have a journal and at the end of every day, I think about three things I'm grateful for," she says. "It could be little things, but it keeps you in the right mindset and helps you realize that even if you had a bad day, it wasn't that bad."

Lehigh team wins PCI’s 2019 Big Beam Competition

A team of Rossin College students took first place in the 2019 Engineering Student Design Competition—aka Big Beam Competition—held annually by the Precast/Prestressed Concrete Institute (PCI).

The national competition, which marked its 19th year, teaches college students important structural engineering skills in an applied learning environment they will use throughout their precast concrete construction careers.

Paper by ISE Ph.D. student Xiaolong Kuang in collaboration with Professor Luis F. Zuluaga wins the 2019 Journal of Global Optimization Best Paper Award

A paper written by ISE Grad Student Xiaolong Kuang in collaboration with Professor Luis F. Zuluaga, has been named one of the two winners of the 2019 Journal of Global Optimization Best Paper Award for their work entitled "Completely Positive and Completely Positive Semidefinite Tensor Relaxations For Polynomial Optimization". The Journal of Global Optimization is a journal Dealing with theoretical and computational aspects of seeking global optima and their application.

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