Graduate School Newsblog

Category: News

Interesting stories about and for our students.

King-Chávez-Parks Future Faculty Fellowship – Fall 2024 – Alan Larson

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First, I would like to thank the KCP reviewers for selecting me as a recipient of the KCP Future Faculty Fellowship, for allowing me to pursue my own education with the goal of teaching others in the future. I would also like to thank my advisor, Dr. Pati, my family, as well as the rest of the Physics department for always having my back.

The research that I am interested in is observing emergent magnetic phenomena occurring from defects within graphite. More specifically, I am using Density Functional Theory to calculate the charge density and converged wave vectors of graphite crystals with small defects. Using that information, I am able to build an electronic band structure of the defected crystal to observe the properties that emerge. Applying twists to single layer graphene and stacking them has shown interesting properties, such as Quantum Spin Hall Effect and superconductivity. Hopefully we can find new materials to base computers on spintronics instead of electronics which will increase their efficiency by a large amount.

My favorite part is that sometimes the calculations take awhile to finish, so during that time I’m able to walk through campus while giving local chipmunks the spare peanuts I have.

My interest in mathematics and physics started in the third grade, by the eighth grade I was already teaching my classmates the Algebra lessons for the day. In high school the guidance counselors reached out so I could tutor struggling classmates and friends with their mathematics homework. Upon graduating with a double major in Physics and Applied Mathematics, I was able to teach once again for a year! Since then I knew I wanted to become a physics professor, to continue my research, and help others along the same path.

Sponsored by the King-Chavez-Parks Future Faculty Fellowship from the State of Michigan.

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King-Chávez-Parks Future Faculty Fellowship – Fall 2024 – Bianca Mercado Velez

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My passion for STEM, health-related research, and advice from various mentors has driven my journey as a first-generation Latina student from Puerto Rico. After graduating from high school in Puerto Rico, I moved to Florida to attend Valencia Community College, where I earned my associate in arts before transferring to the University of Central Florida to pursue a dual bachelor’s in biomedical sciences and biotechnology. The invaluable mentorship from my professors, Dr. Dheeraj Verma and Dr. J. Marla Toyne opened up opportunities for me to participate in interdisciplinary research projects in biology and anthropology, health-related internships, and leadership positions in student organizations like Phi Theta Kappa Honor Society, Multicultural Association for Pre-health Students (MAPS), and Scientista.

In the summer of 2019, thanks to the guidance of my aunt, Madeline Mercado Voelker, I had the opportunity to do a summer undergraduate research internship at the Heldt bioseparations lab at Michigan Technological University (MTU). My research project focused on virus purification with an aqueous two-phase system (ATPS) for vaccine production. This internship led to the opportunity to join Dr. Heldt’s lab as a PhD student at MTU in the Spring of 2022. Currently, I am a third-year Biology PhD candidate co-advised by Dr. Paul Goetsch (Biological Sciences) and Dr. Caryn Heldt (Chemical Engineering). My dissertation focuses on characterizing tumor-derived exosomes with atomic force microscopy for gene therapy and drug delivery. Since starting my Ph.D., I have taught and mentored middle and high school students in summer youth programs (SYP), helped promote and recruit undergraduate students for the Health Research Institute (HRI) summer research program and facilitated workshops for graduate students. These experiences and teaching conversational English classes to adults during undergrad have strengthened my commitment to an inclusive learning environment and mentoring future scientists as a research professor in postsecondary education.

I am deeply grateful to my co-advisers, Dr. Heldt and Dr. Goetsch, for their continuous support and motivation of my aspirations of pursuing a career in academia and for demonstrating to me the type of mentor I want to be to my future students. I thank my parents, sister, family, and friends from Puerto Rico and the United States for their unwavering support. I also thank the Graduate School, the Biological Science Department, and the state of Michigan for awarding me the King -Chavez- Parks (KCP) future faculty fellowship. The KCP fellowship represents a crucial step toward becoming a tenure-track professor, where I can continue to inspire and support students in pursuing their academic and career aspirations.

Sponsored by the King-Chavez-Parks Future Faculty Fellowship from the State of Michigan

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Degree Progress Checklist – a Michigan Tech App

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The Graduate School is pleased to announce a new Michigan Tech app, the Graduate Degree Progress Checklist.

The checklist contains a personalized list of all items students are required to complete for each graduate degree they are pursuing along with the date received. Please note that most forms are manually entered in banner, and may require up to five business days to show as received on the checklist.

The top of the list has overall requirements for students. Note that your list may not include all items, since coursework students are no longer required to complete Advanced RCR training.

The top of the Degree Progress Checklist indicating overall requirements for a graduate degree.
A screen shot of the top of the Degree Progress Checklist indicating overall requirements for a graduate degree.
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CGS/ProQuest Distinguished Dissertation Award – Summer 2024 – Betsy Lehman

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I have always been fascinated with psychology, particularly the way people think and make decisions. We make judgments about our experiences all the time – from everyday social interactions to big events on the news – so it’s an area that is relevant and potentially very impactful. As a lifelong Yooper, I feel lucky to have gotten an amazing education from the Applied Cognitive Science & Human Factors program. It has really highlighted the importance of both basic research and how to apply it effectively to real-world domains.

My dissertation research explored the ways in which people question their theories of events – particularly in ambiguous situations. I believe studying strategies used to question theories can lead to effective methods for changing them. As a social cognition researcher, I combine theoretical perspectives like motivated reasoning and sensemaking in analytical domains to understand how people form theories about events and what causes people to rethink them. I experimentally tested several strategies to promote questioning one’s theory. These strategies can then be used in domains like hiring to mitigate decision-making biases.

I’m very grateful to the Cognitive & Learning Sciences department and Michigan Tech nominating my dissertation for the CGS/ProQuest Distinguished Dissertation Award, it’s truly an honor. I want to give a heartfelt thank you to my advisor Dr. Beth Veinott for all of her support with my PhD – her enthusiastic and thorough guidance has been invaluable. Additionally, I thank everyone in the CLS department and the ADVANCE Initiative for their continued support.

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CGS/ProQuest Distinguished Dissertation Award – Summer 2024 – Xuewei Cao

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I am currently a Postdoctoral Research Scientist at Columbia University and Memorial Sloan Kettering Cancer Center. I obtained my Ph.D. degree in the Department of Mathematical Sciences in Spring 2023. My advisor is professor Qiuying Sha. Prior to joining MTU, I obtained a Master’s degree in System Theory from the School of Systems Science at Beijing Normal University (2018) and a Bachelor’s degree in Statistics from the Department of Mathematical Sciences at Heilongjiang University (2015).

My research is in statistical genetics. I focus on the development of novel statistical methods and efficient bioinformatical tools to find genetic variants or genes related to complex diseases and traits. My thesis title is “Statistical methods for gene selection and genetic association studies”. One of my main projects in my thesis is incorporating the genotype and phenotype association network to simultaneously analyze multiple phenotypes and multiple genotypes and improve the power to identify genes that are associated with complex diseases by using the constructed network. I also work on serval collaborative interdisciplinary projects falling in statistical genetics, RNA sequencing data analyses, clinical statistical problems, etc.

I would like to express my deepest gratitude to my advisors Professor Qiuying Sha and Professor Shuanglin Zhang for all of their valuable guidance and support through my PhD journey and beyond, and I am extremely grateful to the graduate program in Math Department for their constant help and generous support throughout my entire graduate school studies I also want to thanks to Dr. Kui Zhang, Dr. Weihua Zhou, and Dr. Hairong Wei for their endorsement and support with several professional projects in my thesis. Thank you all for your support and for endorsing this nomination.

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Doctoral Finishing Fellowship – Summer 2024 Recipient – Peifeng Su

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Peifeng Su standing outside with Portage Lake Lift Bridge in background
Peifeng Su – Civil Engineering

First and foremost, I express my sincere gratitude to the Graduate Dean Awards Advisory Panel for their recommendation for this esteemed award. I would also like to extend my appreciation to the Department of Civil, Environmental, and Geospatial Engineering for their unwavering support throughout my doctoral studies. Particularly, I am deeply thankful to my advisor, Dr. Qingli Dai, whose guidance and mentorship have been invaluable in shaping my academic journey and honing my critical thinking abilities. Without her steadfast commitment and insight, I would not have attained the level of proficiency I possess as a PhD candidate today.

My dissertation focuses on the evaluation and prediction of chloride ingress in concrete and its impact on reinforced rebars. Concrete stands as the most widely utilized construction material globally; however, due to the intricate nature of concrete composition and the variability in exposure conditions, accurately predicting concrete performance presents a significant challenge. Through a combination of laboratory experimentation and numerical simulations, my dissertation enhances the accuracy of predicting chloride penetration depth and rebar corrosion processes, offering valuable insights for concrete design and maintenance.

In addition to my dissertation, I have contributed as a graduate research assistant to two projects: “Build Sustainable and Durable Rubber-Modified Concrete Pavement” and “Evaluation of Conditions Causing Negative Environmental Impacts When Using Recycled Concrete Aggregate.” The former project resulted in the successful construction of the inaugural rubberized concrete pavement in Muskegon, Michigan. The latter project is still ongoing, focusing on evaluating how recycled concrete aggregate materials impact the surrounding environment. These practical project experiences provided valuable knowledge about the concrete industry, which is very beneficial for my future career.

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Doctoral Finishing Fellowship – Summer 2024 Recipient – Revanth Mattey

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Revanth Mattey leaning against a table, indoors, wearing suit and tie
Revanth Mattey –
Mechanical Engineering-Engineering Mechanics

I am deeply grateful and honored to receive the Finishing Fellowship Award from the graduate school and the graduate dean’s advisory panel.

My journey at Michigan Tech began in 2018 when I commenced my graduate studies. Working alongside Dr. Susanta Ghosh, I completed my Master’s thesis in 2021. The research I conducted during this time inspired me to pursue a Ph.D. I’ve since dedicated myself to exploring phase field modeling and its applications in computational fracture mechanics, as well as employing Machine Learning to solve these intricate mathematical models.

My research aims to harness machine learning techniques to streamline computationally intensive simulations across various fields such as mechanics, phase separation, and weather prediction. These models hold tremendous potential for accelerating simulations of complex material failures and other physical systems described by partial differential equations.

I express my heartfelt gratitude to the graduate school for recognizing me with the Finishing Fellowship Award. This acknowledgment serves as a driving force as I enter the final phase of my Ph.D. journey, reflecting the university’s confidence and support in my work. I extend my sincere thanks to Dr. Ghosh for the invaluable opportunity to be part of his research group. His trust and encouragement have been instrumental throughout my Master’s and Ph.D. endeavors. I’d also like to acknowledge the unwavering support of the faculty and staff of the MEEM department during my academic journey.

Once I complete my PhD I will be joining Idaho National Laboratory as a post-doctoral researcher. I am eagerly looking forward to completing my doctoral research and continuing to advance in my academic career.

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Copper Shores Community Health Foundation Assistantship – Summer 2024 – Libia Hazra

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Libia Hazra leaning against a tree
Libia Hazra – Environmental Engineering

With sincere gratitude I extend my heartfelt thanks to Copper Shores Community Health Foundation (CSCHF) for providing me with the opportunity to receive the Graduate Assistantship in Summer 2024.

I am Libia Hazra, a 3rd year full time Ph.D. candidate of Environmental Engineering at the Department of Civil, Environmental and Geospatial Engineering (CEGE), Michigan Technological University, Houghton, Michigan, USA. I work with Dr. Judith A Perlinger and Dr. Noel R. Urban at the Environmental engineering Department. My current research focuses on determining contaminant concentrations of Polychlorinated biphenyles (PCBs) and Mercury (Hg) in fish from Lake Superior and adjacent inland lakes, home to the Keweenaw Bay Indian Community (KBIC), a federally recognized Ojibwe tribe, deeply connected to the land. I am trying to understand the factors such as food web structure and resource availability leading to variations in contaminants concentrations in different lakes by using ecological tracers like Stable Isotope Analysis, e-DNA Metabarcoding. Additionally, I am working on the health for people and fish. Amidst numerous environmental concerns, the difficulties encountered by aquatic life, especially fish, are often overlooked. This transdisciplinary research conducted in partnership with social scientists and tribal members and governmental units will provide critical data about persistent organic pollutants (POPs) in fish. These findings will assist in planning stocking and harvesting practices, reducing exposure to pollutants, ensuring the nutritional and socio-cultural benefits of fish consumption, ultimately improving the public health of the local communities.

I am originally from Kolkata (WB), India. I joined Michigan Technological University in 2022, spring. I stay here with my husband and 6 years old daughter. Before I moved to Michigan Tech, I completed my M.Sc. in Environmental Science at GITAM University, Visakhapatnam, India and worked on toxic analysis in bird and fish tissue from an eminent institute-Salim Ali Centre for Ornithology and Natural History (SACON), India. I served as a lecturer in an undergraduate college, where I taught Environmental Studies. I also have experience working as an administrative assistant in the Clean Combustion Research Center (CCRC) at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. My long-term goal is to contribute significantly to the field of environmental engineering and become a leader in building a sustainable environment and society, by the practical application of scientific and technological solutions. I grew up in a rural part of India and have witnessed firsthand the environmental degradation in all sectors (e.g., air/water/soil pollution) and thoughtless misuse and abuse of natural resources. My state West Bengal, eastern part of India, the cherished cultural connection between fish and humans is facing a formidable challenge due to increasing contamination of aquatic environments. The profound cultural significance of fish, deeply embedded in Bengali traditions and cuisine, is now strained as environmental pollutants jeopardize the health of fish populations. Rampant industrialization, discharge of pollutants, and the presence of heavy metals and persistent organic pollutants in water bodies raise alarming concerns about the safety of consuming fish. This contamination not only poses a threat to the nutritional value of fish, a staple in the Bengali diet, but also undermines the livelihoods of fishing communities and breaks the intricate link between fish and ceremonial practices. In future, I would like to extend my research in my country and contribute significantly.

At Michigan Tech, I am not only gaining valuable knowledge and skills through coursework, literature review, and research endeavors but also emphasizing the importance of effective communication. I firmly believe that fostering community awareness and engagement is essential for promoting environmental health and sustainability. This fellowship provides me with the opportunity to further expand my research and engage in meaningful community outreach efforts. I am eager to leverage this assistantship to advance my research objectives and contribute positively to both academia and society.

Once again, thank you very much CSCHF for your generous support and confidence in my research endeavors. I am tankful to my advisors for their valuable support. I am also thankful to my husband and my daughter for their constant support and love.

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Doctoral Finishing Fellowship – Summer 2024 Recipient – Natalie Nold

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Outdoor portrait of Natalie Nold in front of a brick wall
Natalie Nold – Chemical Engineering

I am a rising PhD candidate in Dr. Caryn Heldt’s lab researching how to make virus-based pharmaceutical manufacturing more cost-effective and time-effective. Gene therapeutics, a ground-breaking new class of pharmaceuticals that can cure genetic diseases and cancer, often depend on a viral vector to deliver the therapeutic gene. Unfortunately, these therapies often cost over $1 million per treatment and are a financial burden to patients. My research has shown that liquid-liquid extraction can be used to purify multiple viral vectors and could reduce manufacturing costs by over 50% at production scale. We have recently filed a provisional patent for this technology which could significantly reduce the cost burden of gene therapeutics.

I would like to thank my advisor Dr. Caryn Heldt for her technical, professional, and personal mentorship. Her guidance helped me not only to succeed in my projects but also to grow as an independent researcher. I would also like to thank my research lab for their support and friendship. I would like to thank the Graduate School for this finishing fellowship as well as the Chemical Engineering department, the Michigan Translational Research and Commercialization program, and the Cottrell Foundation for their previous financial support. I am excited to take the technical and leadership skills I have gained during this degree and continue working to further research in the gene therapy industry.

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Doctoral Finishing Fellowship – Summer 2024 Recipient – Seyedmostafa Rezaeitaleshmahalleh

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Mostafa Rezaeitaleshmahalleh standing outdoors under a tree
Mostafa Rezaeitaleshmahalleh – Biomedical Engineering

As a final-year PhD candidate in Biomedical Engineering at Michigan Tech, my research revolves around understanding complex blood flow patterns and their implications for aneurysm development and rupture. Specifically, I focus on two types: intracranial aneurysms and abdominal aortic aneurysms.

In my dissertation, I utilize computational fluid dynamics to simulate blood flow within 3D vascular models extracted from medical imaging data of patients with aneurysms. By applying innovative computational methods, I analyze velocity and wall shear stress characteristics within the aneurysm. This approach has led to the development of new metrics that enhance our ability to distinguish between ruptured and unruptured aneurysms, shedding light on flow conditions indicative of potential rupture. Moreover, I’ve devised a systematic method for assessing the composition of intraluminal thrombosis (ILT). Using deep learning algorithms, I identify the ILT region within the vascular model and employ radiomics to analyze its structural properties. This analytical framework provides novel insights into the ILT region, thereby enhancing our ability to identify abdominal aortic aneurysms at heightened risk of rupture. The final aspect of my doctoral research is to develop a nearly automated pipeline to run CFD simulations with minimal user interaction. This automated workflow aims to eliminate time-consuming and labor-intensive steps, making the process more efficient and user-friendly.

My hope is that this work will one day eliminate the current barrier to integrating CFD simulation into clinicians’ workflow and help doctors leverage CFD simulation in their decision-making process. The quantified measures of flow characteristics and ILT composition may be utilized in the clinical setting to better identify which aneurysms are at high risk of rupture. This could guide clinical decision-making to determine if aneurysm surgery prior to rupture is worth the risk, or if an aneurysm is likely to remain stable, posing minimal risk to the patient’s health.

I want to express my sincere gratitude to the Graduate Dean Award Advisory Panel for granting me this award. I also want to thank my advisors, Dr. Jingfeng Jiang, and my committee members, Dr. Sean Kirkpatrick, Dr. Hoda Hatoum, and Dr. Weihua Zhou, for their invaluable guidance and expertise throughout my time at Michigan Tech. Their mentorship has been crucial in shaping my research and academic journey.

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