PITTSBURGH (Nov. 15, 2019) — For the second consecutive
year, a graduate student from the University of Pittsburgh’s Swanson School of
Engineering has won the AIChE’s Computational Molecular Science and Engineering
Forum (CoMSEF) annual Graduate Student Award.
Yasemin Basdogan, a doctoral student in chemical
engineering, was awarded the honor in recognition of her significant
contributions in her work on using
machine learning to study local solvation environments with John Keith,
PhD, associate professor of chemical engineering and R.K.
Mellon Faculty Fellow in Energy.
“Yasemin is a tremendous student, and I was happy to
nominate her for this national award,” says Keith. “Awards like this showcase
the impressive work of our students and are a great way for them to get
visibility and be well-prepared for an ultra-competitive academic job market.
They also demonstrate our department’s success in personalizing the training
and mentoring of our great students to achieve their goals.”
The work uses computational tools to study ion solvation
environments, an approach that will be useful for the atomistic modeling of
ions in different solvents.
Last year, Michael Taylor, working with Giannis (Yanni)
Mpourmpakis, PhD, was awarded the honor for his work on computer-aided
descriptions of materials stability at the nanoscale.
The prize comes with a plaque and an honorarium. Students
are nominated by their dissertation advisor and must present a poster at the
CoMSEF Poster Session at the AIChE Annual Meeting. Awards are based on the
student’s CV, the nomination letter from their advisor, the quality of the
poster and the student’s ability to describe their research.
“As researchers, pursuing impactful research is our primary
goal, but being able to effectively communicate that research is a challenging
but vital skill to learn,” says Keith. “This recognition shows that Yasemin is
poised to continue excelling at both.”
Maggie Pavlick, 11/15/2019
Contact: Maggie Pavlick