Category: Academics

Book Publication – Jiguang Sun

The Department of Mathematical Sciences is pleased to share the recent publication by Jinguang Sun, Endowed Professor of Mathematics. Dr. Sun, along with co-author Aihui Zhou, published the 2nd Edition of “Finite Element Methods for Eignevalue Problems” on May 10, 2026 through CRC Press.

“Finite Element Methods for Eigenvalue Problems” covers finite element methods for several typical eigenvalues that arise from science and engineering. Both theory and implementation are covered in depth at the graduate level. The background for typical eigenvalue problems is included along with functional analysis tools, finite element discretization methods, convergence analysis, techniques for matrix evaluation problems, and computer implementation. The book also presents new methods, such as the discontinuous Galerkin method, and new problems, such as the transmission eigenvalue problem.

A big congratulations to Dr. Sun!

Book Publication – Alexander Labovsky

The Department of Mathematical Sciences is pleased to share the recent publication by Associate Professor Alexander Labovsky. Alex wrote “Defect Correction Methods for Fluid Flows at High Reynolds Numbers“, which was published July 16, 2025, through Chapman & Hall.

Alex was also celebrated on March 13, 2026 at the Michigan Tech Author’s Reception in the Van Pelt and Opie Library.

“Defect Correction Methods for Fluid Flows at High Reynold’s Numbers” presents the mathematical development of defect correction methods (DCM) in application to fluid flow problems in various settings. It shows several approaches to applying the DCM ideas in computational fluid dynamics (CFD) – from a basic idea of controlling the flow by the means of increased diffusion, to the state-of-the-art family of novel, DCM-based turbulence models.

Congratulations on your accomplishment, Alex!

Rodica Curtu Named New Mathematical Sciences Chair

Michigan Tech’s College of Sciences and Arts welcomes Rodica Curtu as the new chair of the Department of Mathematical Sciences, effective July 1. Curtu comes to Michigan Tech from the University of Iowa, where she recently brought the math graduate program into the Internship Network in the Mathematical Sciences and served as faculty senate president.

“As the new chair of mathematical sciences, Professor Curtu leads a department with a strong record of accomplishments in research and teaching,” said LaReesa Wolfenbarger, dean of the College of Sciences and Arts. “I look forward to working with Rodica as she leverages her skills and experience with interdisciplinary and multi-institution research collaborations to lead the department to even greater accomplishments as MTU moves forward as an R1 institution.”

Curtu’s expertise is in mathematical biology and computational neuroscience. She earned her PhD in Mathematics from the University of Pittsburgh in 2003 and worked during her informal postdoctoral studies as a visitor exchange scientist with researchers from the Center for Neural Science at New York University.
She said she looks forward to stepping into a leadership role where she can guide the math department toward further growth by developing online courses and expanding existing master’s degree and PhD programs.

Curtu said she’s passionate about student-focused teaching, championing the approach at the University of Iowa, where it was well received by students. Having worked on teams with neuroscientists, biologists, and engineers to apply math to real-world problems, she was drawn to Michigan Tech’s interdisciplinary research opportunities.

“I love working on interdisciplinary teams,” said Curtu. “In order to solve complicated problems we need to talk more with each other and share perspectives from different fields. Michigan Tech is a great place to come for that collaboration.”

“Mathematics is everywhere!” Rodica Curtu, Chair, Department of Mathematical Sciences, Michigan Tech College of Sciences and Arts

As chair, Curtu plans to work with the department, dean’s office, and across the University to facilitate dialogue and help align goals. She describes her approach to leadership as “working at the speed of trust” with the intention to start by listening. Her goals include growing the department’s graduate programs and embracing Michigan Tech’s R1 classification. She looks to support students through more diverse training opportunities, interview preparation, and guidance in pursuing industry and government jobs and internships. Curtu will also encourage interdisciplinary collaboration between mathematical sciences and other departments on campus.

Mathematical Sciences Department Students Taking Research to the Next Level

The Mathematical Sciences (MS) Department proudly announces that Aili Toyli and Sean Phelan have been selected for the Undergraduate Research Internship Program (URIP)*. Toyli and Phelan will spend the academic year working on individual research projects under the guidance of a Michigan Tech faculty mentor.

Additionally, Sean Phelan was awarded a Summer Undergraduate Research Fellowship (SURF)**. Research is conducted over the summer semester.

Both SURF and URIP are high-caliber undergraduate research opportunities that create a unique collaboration with professors and hone a student’s skills to distinguish themselves. 

Phelan’s SURF project title is, “Discovering Genetic Markers for Alzheimer’s Disease Using Genome-Wide Association and Rare Variant Association for Risk Prediction.” He is a dual major in Statistics and Mathematics–Business Analytics, under the advisory of Weihua Zhou—Applied Computing. We conducted an email exchange to find out more about Sean.

MS: What do you hope to do with your degree?

SP: “Work as a data scientist where I draw insights from large company data sets. I am interested in the operations and supply chain side of business where I can optimize the flow of resources.”

MS:  What piqued your interest in doing research?

SP: “I want to apply my statistical knowledge from MTU to real-world data and explore the world of deep learning. Research at the MTU bioinformatics lab is a perfect fit, where I learn about medical deep-learning models and develop statistical risk scores. My research also draws from an elective science course I took, Intro to Biotechnology with Dr. Busov.”

MS:  What do you enjoy most about the research you do?

PS: “Learning about new measures and models that I can apply in the future and keeping on top of cutting-edge machine learning methods are important for a budding data scientist.”

MS: What do you like to do outside of school?

PS: “I like to camp and backpack while exploring the outdoors. I also mountain bike and snowboard depending on the season.”

MS:  Why did you choose to study here at Michigan Tech?

SP: “I like the UP, I received a solid scholarship, and the math program is great.”

MS:  What do you like the most about Michigan Tech?

SP: “It’s a double-edged sword, but I like being in the middle of nowhere—so much outdoors and the air is so fresh. Also, the small-town energy here is very safe and friendly, which is much nicer than a large city like New York.”

Toyli is pursuing a B.S. in Statistics—under the advisory of Qiuying Sha— that she anticipates will open the door to a graduate degree in biostatistics, and a career as a statistical consultant for medical research. She has always been interested in both medical sciences and statistics, and knew she wanted to be in research. We asked Aili a bit about herself.

MS: What piqued your interest in research?

AT: “I attended the undergraduate research forum last fall and reached out to Dr. Zhou because I was intrigued by his work.”

MS: What do you enjoy most about research?

AT: “I enjoy applying what I’ve learned in class to real-world problems. I’m excited to contribute to research that could lead to improvements in medical treatments.”

MS: What have you learned most about yourself by doing research?

AT: “I’ve learned about my ability to learn independently. Research topics can seem daunting at first, but I’ve learned to create a plan and tackle it one step at a time.”

MS: What do you like to do outside of school?

AT: “I love to spend time with friends and family, especially outside. I enjoy hiking, skiing, and spending time on the lake!”

MS: Why did you choose to study here at Michigan Tech?

AT: “I chose to come to Michigan Tech because I really love both the area and the school’s STEM focus.”

MS: What do you like the most about Michigan Tech?

AT: “The people I’ve met are my favorite part of Michigan Tech. I’ve made so many wonderful friends!”

Selfie photograph of Alil Toyli on the Keweenaw Peninsula winter ski trails
Aili Toyli out on the Keweenaw Trails

We, in the Mathematical Science’s Department, applaud our student’s success! Congratulations Aili and Sean!

*The URIP is open to all Tech undergraduates interested in joining a research project under the guidance of a Michigan Tech faculty mentor during the regular academic year (September-March). Student researchers showcase their findings at Michigan Tech’s annual Undergraduate Research and Scholarship Symposium, national conferences, and contribute to peer-reviewed journal articles graduation.

**SURFs are open to all Michigan Tech undergraduates who have at least one semester remaining after the summer term. Fellowship recipients conduct a research project under the guidance of a Michigan Tech faculty mentor, during the summer semester. SURF Fellowship recipients are required to:

About the Mathematical Sciences Department

Mathematicians at Michigan Technological University conduct research and guide students, applying concepts to fields like business, engineering, healthcare, and government. The Mathematical Sciences Department offers undergraduate and graduate programs with degrees in mathematical sciences, applied statistics, and statistics. Students supercharge their math skills at Michigan’s premier technological university. They graduate prepared for successful careers in academia, research, and tomorrow’s high-tech business environment.

Questions? Contact us at mathdept@mtu.edu. Follow us on Facebook or read the Mathematical Sciences news blog for the latest happenings.

CTL Instructional Presentation Series: Cécile Piret, 2018 Innovative and Out of Class Teaching Award Recipient

Cecile PiretIn the second presentation of our fall award series, Cécile Piret (Math), will discuss her use of 3-D printing techniques to visualize multivariable functions in teaching Calculus 3, titled “3-D Printing for Mathematics Education.” Her innovative approach has illustrated mathematical concepts that can be studied in unique and practical ways and was recognized as part of the Dean’s Teaching Showcase. Piret will present from 3:30 to 4:30 p.m. Thursday, Oct. 11.

Formal recognition of this award for Innovative and Out of Class Teaching will follow her presentation. Don’t miss this opportunity to learn how you might innovate your own teaching and recognize Cécile’s success. Coffee and light refreshments will be provided to those who register by Monday, Oct 8.

Notables

image39629-pers

A book co-authored by Don Kreher, titled “Graphs, Algorithms, and Optimization,” Second Edition, has been selected for review by Choice, a journal for librarians. Only three books from the publisher’s entire mathematics and statistics portfolio have been chosen for review this year.

In January, Choice will select their Book of the Year from the books reviewed. The review of Kreher’s book, co-authored by William Kocay of the University of Manitoba, places it in nomination.

Beth Reed Named Distinguished Teacher

1495653731Beth Reed, a senior lecturer in the Mathematical Sciences Department of Michigan Technological University, is the recipient of the 2017 Distinguished Teaching Award in the Assistant Professor/Lecturer/Professor of Practice category.

Reed, who is also assistant to the department chair, has been teaching mathematical sciences at Tech since 1985 and has been recognized at the departmental level multiple times for both her teaching and her service. This year she was named to the Deans’ Teaching Showcase.

Reed began her academic career in forestry, earning a master’s in forest biometrics from Virginia Polytechnic Institute and State University in 1982. She joined Michigan Tech’s School of Forest Resources and Environmental Science in January of 1983 as a research associate working on four different research projects before moving to the Department of Mathematical Sciences in 1985.

Reed says the secret to her success lies, in part, in her effort to “personalize” her classroom. Though many of her classes have almost 60 students, she learns every student’s name.

“I expect and actually get interaction from almost everyone. It really helps that I can call on each person by name. and if they don’t know the answer, I can turn to their neighbor and ask them to help out.”

Read the full story.