Tag: Finishing Fellowship

Doctoral Finishing Fellowship – Spring 2023 Recipient – Wei Zhang

My interest in the field of fuel cells was ignited when I was a master’s student in China. I enjoyed the sense of achievement when I constructed my first small fuel cell device that successfully converted hydrogen to electricity. I wished to broaden my vision in this field and prepare myself to be a qualified researcher with international experience, thus I started my PhD study at the Department of Materials Science and Engineering under the guidance of Prof. Yun Hang Hu in Spring 2018.

My PhD research focused on advanced electrode materials for solid oxide fuel cells. The stability of lithium-containing electrodes under fuel cell operating conditions was systematically investigated. Furthermore, a new fuel cell structure was designed based on the decomposition and diffusion of electrodes, achieving excellent device performance. I am pleased that my research could contribute to efficient and clean energy conversion technologies.

I would like to thank the graduate school and the evaluation panel for providing me with this important fellowship. This would help me concentrate on the completion of my PhD dissertation during the upcoming semester. I also sincerely appreciate my advisor, Prof. Hu, the MSE department, and my group members for all their support.

Doctoral Finishing Fellowship – Spring 2023 Recipient – Yuhuan Fei

I started my Ph.D. program in Materials Science and Engineering at MTU under the supervision of Dr. Yun Hang Hu in the Fall of 2018. My research is focused on synthesis and characterization of novel graphene materials and their applications in energy conversion and storage, which have been further extended to water desalination and heavy metal removal based on my research background in water treatment. It is always exciting to see a project completed and published, knowing that my efforts would finally make a slight contribution to the world.


I am sincerely grateful to the Graduate Dean Awards Advisory Panel for awarding me the finishing fellowship, which would allow me to focus on my dissertation and defense. My special thank goes to my advisor, Dr. Yun Hang Hu, for providing not only conceptional and technical training crucial for an individual researcher, but also continuous guidance and encouragement whenever I doubted myself. I would also like to express my gratitude to my committee members (Dr. Ranjit Pati, Dr. Gerard Caneba, and Dr. Shiyue Fang), my lab members, and my family and friends for their invaluable help and support throughout my doctoral journey.

Doctoral Finishing Fellowship – Spring 2023 Recipient – John Velat

I returned to Michigan Tech for graduate studies in 2000 and soon started working as a staff researcher for Michigan’s Local Technical Assistance Program and later director of the Eastern Tribal Technical Assistance Program, two federally sponsored transportation research and technology transfer programs in the Civil and Environmental Engineering Department. I eventually left Michigan Tech as an employee but have continued work on my dissertation while developing a successful freelance technical communicator career. For the last 22 years I juggled work and family while chipping away at a masters in Rhetoric and Technical Communication and PhD in Rhetoric, Theory and Culture. 

Working in transportation may seem like a long way from the humanities, but transportation is a truly human endeavor. Unfortunately, one impact of transportation systems on humans (and non-humans) is a staggering toll of injuries and lives lost due to motor vehicle crashes. In 2020, nearly 39,000 people were killed in crashes in the US, and over 1.3 million people die annually in traffic-related crashes worldwide. Those most affected in the US are young rural and tribal people: A young American Indian or Alaska Native is 2-5 times more likely to die in a motor vehicle crash than the average American. Addressing this ongoing tragedy became my passion.

My research examines how we collect, analyze, and communicate risk, especially risk related to transportation. I have applied this research to help the most vulnerable populations—rural and tribal people in the US—understand transportation risk and safety in their own communities. By teaching people with few resources and knowledge how to evaluate and communicate risk in their own communities, local, non-experts can take steps to understand and mitigate risks from transportation and any other natural or anthropogenic causes. This work affected me so deeply that I even decided to become an EMT, firefighter, and EMT instructor so that I could directly apply this research and teach others how to understand and mitigate risk.

I am grateful to the many faculty and advisors who have worked with me in a decades-long education path at Michigan Tech, and especially thankful to my committee—Dr. Karla Kitalong, Dr. Andrew Fiss, Dr. Marika Seigel, and Dr. Melissa Baird—who have helped me stay committed to this work through a very difficult time for them and me in the past few years. I also thank the Graduate Dean Awards Advisory Panel for recognizing and supporting my unusual and drawn-out educational path with an award that will help me focus on completing my dissertation and degree. Last, but definitely not least, I thank my family for supporting me while I’ve always had too much on my plate! I look forward to continuing to learn and apply my education and research in our own community and to sharing this experience with others to help them live and thrive in communities large and small.

Doctoral Finishing Fellowship – Spring 2023 Recipient – Nastaran Khademimoshgenani

I came to Michigan Technological University in August 2018 to pursue a PhD degree in chemistry. I became interested in analytical chemistry during my undergraduate studies in polymer engineering and color science at the Amir Kabir University of Tehran, where I trained to design, synthesize, and analyze various materials such as polymers and pigments with industrial applications. Currently, my research focuses on using analytical techniques such as fluorescence spectroscopy and mass spectrometry to elucidate the origins of fluorescence in complex organic mixtures such as dissolved organic matter (DOM). DOM is one of the largest carbon reservoirs in soil and water, which plays a major role in global climate change and significantly impacts nutrient cycling for different ecosystems and their living organisms. 

During my journey as a PhD student, I have had many excellent learning opportunities while working as a teaching and research assistant. I collaborated on a research project with the department of natural resources and published a research paper titled “Insights on Dissolved Organic Matter Production Revealed by Removal of Charge-Transfer Interactions in Senescent Leaf Leachates” in the Water journal in August 2020. Also, I was fortunate to complete a 12-week co-op opportunity last summer, which helped me gain expertise in analytical techniques such as mass spectrometry, chromatography, and their applications in manufacturing and environmental studies. One of our most recent projects focuses on developing extraction methods and characterizing fluorescent compounds in animals to help us understand these species and their ecosystems more deeply. These natural fluorescent compounds can have various biological, medicinal, and industrial applications. 

I am immensely grateful to the Graduate Dean Awards Advisory Panel and the Dean for granting me this finishing fellowship award. I would like to thank my advisor, Dr. Sarah Green for being a great mentor and offering her continuous support and encouragement throughout my journey.

Doctoral Finishing Fellowship – Spring 2023 Recipient – Niusen Chen

I started my PhD life in the Department of Computer at Michigan Technological University with Dr. Bo Chen. My research interests mainly focus on securely deleting data in flash devices and implementing Plausibly Deniable Encryption (PDE) to fare against coercive attacks in flash devices.

Due to the nature of flash memory, some special functions such as garbage collection and wear leveling are performed in flash devices. These functions will generate several duplicates of the content. A regular delete operation from the user level can not remove those duplicates, therefore, privacy may be compromised. In this work, I experimentally verify the existence of those duplicates and propose a method to remove them. Implementing PDE in flash devices is also a topic I am focusing on. Existing PDE work is implemented either in the block device layer or Flash Translation Layer (FTL). I build a PDE framework such that the block device layer and FTL layer can work cooperatively with each other. This is because the block device layer is more user-friendly and the FTL layer can handle the special nature of flash devices. In this way, PDE will work more efficiently.

I would like to express my sincere gratitude to the Department of Computer Science and the Graduate College of Michigan Technological University for their continuous support in achieving my PhD goals. I am also grateful to my advisor Dr. Bo Chen and my committee members, for their guidance and help during my PhD life.

Doctoral Finishing Fellowship – Spring 2023 Recipient – Sodiq Waheed

I commenced my PhD program in Chemistry here at Michigan Tech in the Fall of 2018 under the direction of Dr. Christo Z. Christov and Dr. Tatyana G. Karabencheva-Christova. Before joining Michigan Tech, I obtained bachelor’s and master’s degrees in Industrial Chemistry and Physical Chemistry, respectively, from the University of Ibadan, Nigeria. Also, I received the Erasmus Mundus Joint Master’s Degree (EMJMD) in Theoretical Chemistry and Computational Modelling (TCCM) from the University of Porto, Portugal, and the University of Valencia, Spain, in summer 2018.

My doctoral research focuses on the use of computational modeling approaches to understand the structure-function relationships, conformational flexibility, collective motions, catalytic mechanisms, and the electronic structures of non-heme Fe(II) and 2-oxoglutarate dependent enzymes, such as AlkB, AlkBH2, TET2 and KDM4E that are involved in DNA repair, epigenetic regulation, and histone demethylation. 

During my PhD program, I worked on an NIH-funded project on matrix metalloproteinase-1 (MMP-1) enzyme, where I explored the early catalytic events of the enzyme necessary for its collagenolytic activity. In this project, I studied the processes of formation of the catalytically productive enzyme-substrate complex of MMP-1 and the associated changes in the coordination states of the catalytic Zn(II) site during the conformational transition to the productive complex. Moreover, I have worked on applying external electric fields (EEFs) to enhance the specificity of KDM4E enzyme for C—H activation over N—H activation during the histone N-methyl arginine demethylation. I was also involved in a collaborative project on artificial metalloenzyme with experimental groups at the University of Michigan, Ann Arbor, and Martin-Luther University Halle-Wittenberg, Germany, where we studied the use of YfeX hemoprotein, naturally a peroxidase, as a carbene transferase to mediate some organic reactions.   

I would like to extend my sincere gratitude to my co-advisors, Dr. Christo Z. Christov and Dr. Tatyana G. Karabencheva-Christova, PhD committee members (Dr. Tarun Dam, Dr. Haiying Liu, and Dr. Stephen Techtmann), and the Department of Chemistry for their continuous support. I am grateful to the Graduate Dean Awards Advisory Panel and the Dean for awarding me the Doctoral Finishing Fellowship. This fellowship will afford me the opportunity to focus on completing my PhD dissertation and preparing for my defense.

Doctoral Finishing Fellowship – Spring 2023 Recipient – Xuewei Cao

I am currently a Ph.D. candidate in the Department of Mathematical Sciences starting in the Fall of 2018. 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, such as type II diabetes, chronic obstructive pulmonary disease, et al. One of my main projects 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 the Graduate Dean Awards Advisory Panel for the support, which allows me to focus on such cutting-edge research here at Michigan Tech and prepare the thesis/manuscripts for publication in the coming spring. I also want to thank my advisors Professor Qiuying Sha and Professor Shuanglin Zhang for all of their valuable guidance and support over the last four years, 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.

Xuewei’s Finishing Fellowship was generously supported by the Neil Hakala Endowed Fellowship.

Summer 2023 Finishing Fellowship Nominations Open

Applications for Summer 2023 finishing fellowships are being accepted and are due no later than 4pm on March 1, 2023 to the Graduate School. Please email applications to gradschool@mtu.edu.

Instructions on the application and evaluation process are found online. Students are eligible if all of the following criteria are met:

  1. Must be a PhD student.
  2. Must expect to finish during the semester supported as a finishing fellow.
  3. Must have submitted no more than one previous application for a finishing fellowship.
  4. Must be eligible for candidacy (tuition charged at Research Mode rate) at the time of application.
  5. Must not hold a final oral examination (“defense”) prior to the start of the award semester.

Finishing Fellowships provide support to PhD candidates who are close to completing their degrees. These fellowships are available through the generosity of alumni and friends of the University. They are intended to recognize outstanding PhD candidates who are in need of financial support to finish their degrees and are also contributing to the attainment of goals outlined in The Michigan Tech Plan. The Graduate School anticipates funding up to ten fellowships with support ranging from $2000 to full support (stipend + tuition). Students who receive full support through a Finishing Fellowship may not accept any other employment. For example, students cannot be fully supported by a Finishing Fellowship and accept support as a GTA or GRA.

Graduate School Announces Fall 2022 Finishing Fellowship Award Recipients

The Graduate School proudly announces the recipients of the Doctoral Finishing Fellowships for the fall semester, 2022. Congratulations to all nominees and recipients.  

  • Vishnu Chakrapani Lekha, Geological Engineering
  • Shobhit Sanjeev Chaturvedi, Chemistry
  • Emily Shaw, Environmental Engineering
  • Parth Parimalbhai Bhatt, Forest Science
  • Jiachen Zhai, Mechanical Engineering-Engineering Mechanics
  • Rasoul Bayaniahangar, Mechanical Engineering-Engineering Mechanics
  • Jessica R. Bruning, Integrated Physiology
  • Peng Quan, Forest Science
  • Donna Susan Mathew, Rhetoric, Theory and Culture
  • Sushree Shrabani Dash, Applied Physics
  • Xuebin Yang, Mechanical Engineering-Engineering Mechanics
  • Jacob J. Blazejewski, Mathematical Sciences

Doctoral Finishing Fellowship – Fall 2022 Recipient – Parth Bhatt

My journey in the field of GIS and Remote Sensing started back home in India when I was working with the Space Application Center, Indian Space Research Organization in the year 2016. The joy and happiness I received from looking at the Remotely Sensed imageries for hours and to discover the things I can achieve with the use of GIS techniques made me firm to pursue further into this field.


I arrived at Michigan Tech for my master’s in the field of GIS in Fall 2016, in the College of Forest Resources and Environmental Sciences and was fortunate enough to begin my MTU journey with my advisor Dr. Ann Maclean. After completion of my MS degree, I started my PhD in Spring 2019 with Dr. Maclean. During my research, I focused on using high and ultra-high spatial resolution NAIP and Drone (UAS) imageries to map and monitor the natural habitat communities of the Hiawatha National Forest using machine learning algorithms. The goal of this study was to develop a robust approach using remotely sensed imagery and geomorphological variables to classify the complex vegetation and wetland communities and generate GIS maps which can be extremely useful to resource managers and/or officials to manage the forests in a timely and efficient manner, monitor vegetation changes, and help in enhancing decision making. Along with my PhD research, I am part of a national-level Forest Health Mapping project with the U.S. Forest Service since Fall 2018 where we use high-resolution NAIP imagery along with other variables and developed a model to detect and map individual tree mortality.


I have fully enjoyed my MS and PhD life in the Keweenaw Peninsula, Houghton and CFRES-MTU has awarded me with some of the best things, memories, and blessed people in my life. I am full of gratitude towards my advisor Dr. Ann Maclean for her constant support and guidance throughout this journey at MTU. I am grateful to the Graduate Dean Awards Advisory Panel for the finishing fellowship award and to help me get one step closer to my endeavors.