Graduate School Newsblog

Tag: College of Computing

Doctoral Finishing Fellowship – Spring 2024 Recipient – Sadia Nowrin

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Indoor photo of Sadia Nowrin
Sadia Nowrin – Computer Science

Starting my academic journey at Michigan Technological University in 2018, I had the privilege of guiding two first-year computer science students on a mini project called “Technology Assisted Conversation” under the supervision of Dr. Keith Vertanen. I was fascinated by the transformative impact of technology in empowering individuals with disabilities. Little did I know this initial endeavor would transform into the core of my dissertation “Programming by Voice.”

In the realm of software development, where text-intensive tasks are inevitable, programmers often face challenges due to long hours of typing. Individuals with motor impairments may encounter difficulties typing, while even able-bodied practitioners may develop conditions like Repetitive Strain Injury. My doctoral dissertation centers on empowering programmers facing such accessibility challenges through voice-enabled programming. This involves applying state-of-the-art natural language processing techniques and training large language models to adapt to the diverse speaking styles of programmers. Beside my dissertation work, I work as a graduate research Assistant on the NSF project, “Improving Mobile Device Input for Users Who are Blind or Low Vision” where I explore how to improve the ability of visually impaired individuals to detect speech recognition errors without relying on visual feedback. I am excited about exploring new possibilities and making meaningful contributions in the field of accessibility, acknowledging its significance as a necessity rather than a mere recommendation.

I would like to convey my profound gratitude to Dr. Keith Vertanen, for his invaluable guidance and mentorship, especially considering my transition from a distinctly different research field. My deepest appreciation extends to the Graduate School and the Dean’s Advisory Panel for awarding me the Finishing Fellowship, allowing me to focus on completing my dissertation promptly. I am thankful for the support and opportunities provided by Michigan Technological University, shaping not only my academic journey but fostering a collaborative and encouraging community.

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Doctoral Finishing Fellowship – Fall 2023 Recipient – Chen Zhao

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I started my Ph.D. journey at Michigan Tech in the fall of 2019 by joining the CS&E Ph.D. program at the Department of Applied Computing. Throughout my time at Michigan Tech, I have had the privilege of working at the Laboratory of Medical Imaging and Informatics under the guidance and supervision of Dr. Weihua Zhou. My Ph.D. research has been dedicated to the development of medical imaging analysis algorithms using deep learning techniques. Specifically, my research has focused on areas such as medical image segmentation utilizing prior knowledge, multiscale information fusion, and topology-based image semantic segmentation through graph neural networks. These algorithms and models that I have developed have been successfully applied to the analysis of coronary artery angiograms, contributing to computer-aided diagnosis and treatment of coronary artery disease.

I would like to express my sincere gratitude to the Department of Applied Computing for providing me with an exceptional research environment and the resources necessary for my research. I am especially grateful to the Graduate School and the Graduate Dean Awards Advisory Panel for recognizing my research efforts and granting me the Finishing Fellowship award. This award allows me to dedicate my time and efforts to the completion of my final research projects and the writing of my dissertation.

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Doctoral Finishing Fellowship – Summer 2023 Recipient – Soheil Sepahyar

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I began my PhD journey in the spring semester of 2019, focusing on the subject of distance perception in virtual reality under the supervision of Dr. Scott Kuhl. My research investigates how people perceive distance in VR, an increasingly popular technology due to its widespread availability and recent advancements. I’ve always been interested in the Virtual Reality and Computer Graphics world since I was 12 years old.

Despite its growing popularity, numerous questions remain about how human perception interacts with virtual reality (VR). Many VR applications either require or benefit from users perceiving and interacting in virtual environments that closely resemble the real world. One of the primary challenges my research addresses is the tendency for people to underestimate distances in VR, as opposed to accurately perceiving them in real-world settings. Distances in VR are often reported as being underestimated by 20-30%, a discrepancy that is significant for many everyday tasks. These issues can lead to serious complications in various applications. For example, homebuyers using VR to virtually tour properties may struggle to accurately assess room sizes. People might also face difficulties in navigating and engaging with virtual worlds effectively. Furthermore, accurate distance perception is crucial for training and education programs involving students and even essential workers, such as astronauts. As a result, my research aims to examine how some of the procedural details might impact the results of previous VR studies regarding distance perception. One detail involves giving participants practice in blindfolded walking prior to the study to gain trust in the experimenter and experience walking while blindfolded. Additionally, to better understand this phenomenon, I have developed a program compatible with modern head-mounted displays (HMDs) that accurately tracks users’ locations and provides valuable data on participant behavior. This enables in-depth analysis of their walking behavior and perception during experiments.

I am extremely grateful to the Graduate Dean Awards Advisory Panel for granting me the finishing fellowship. I would also like to express my heartfelt thanks to my incredible advisor, Dr. Scott Kuhl, for his unwavering guidance, support, and encouragement throughout my PhD program. Finally, I extend my appreciation to the Computer Science Department and the College of Computing for their exceptional programs and the opportunities they have provided for us.

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Doctoral Finishing Fellowship – Spring 2023 Recipient – Niusen Chen

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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.

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Doctoral Finishing Fellowship – Spring 2022 Recipient – Jiban Adhikary

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I started my graduate studies as a PhD student in the Computer Science department at Michigan Tech in Fall 2016. On the way to my PhD, I obtained a Master’s degree in Computer Science in Fall 2018. I have a Bachelor’s degree in Computer Science and Engineering from University of Dhaka, Bangladesh. 

My research focuses on designing intelligent interfaces for users who have some form of speech or motor impairment such as ALS, Cerebral Palsy, or Parkinson’s. Such users have trouble speaking and may use an Augmentative and Alternative Communication (AAC) device to communicate face-to-face or in writing. Their input rate is often quite slow due to their motor abilities. My research looks into improving AAC devices to accelerate AAC user input via different methods. These include: training and deploying state-of-the-art statistical and neural language models to predict an AAC user’s next words, entering text using abbreviation, adapting language models to an individual AAC user’s writing, and doing speech recognition on the conversation turns of an AAC user’s partner.  

Besides AAC user interfaces, I have explored text input in virtual reality (VR). Entering text in a VR environment is difficult due to many reasons such as lack of tactile feedback and tracking inaccuracies. I have designed and investigated different text entry interfaces in VR where I have studied the performance of one-handed versus two-handed text entry techniques and input of text containing difficult words (e.g. proper names) using speech. 

I would like to express my sincere gratitude to my advisor Dr. Keith Vertanen for his support, guidance, and cooperation during my pursuit of a PhD. I would also like to thank the College of Computing and its staff and faculty for providing me an opportunity to grow in a great research and academic environment. Lastly, I am grateful to the Graduate School, the Graduate Dean Awards Advisory Panel, and the Dean for awarding me the Finishing Fellowship.

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Doctoral Finishing Fellowship – Spring 2022 Recipient – Zhuo He

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I started my Ph.D. in 2018 and transferred to the Department of Applied Computing at Michigan Tech in the fall of 2019. I obtained my Bachelor’s degree from Central South University in China. 

At Michigan Tech, I work at the Laboratory of Medical Imaging and Informatics under Dr. Weihua Zhou’s supervision. We focus on the application of improving the treatment outcome of cardiac resynchronization therapy (CRT) using artificial intelligence, which is a life-saving treatment for patients with failing hearts. Like any therapy, CRT is not suited for all patients, and patient selection is critical to achieving optimal performance. My dissertation work intelligently fuses mechanical dyssynchrony with electrical dyssynchrony to identify the right patient for CRT, thereby significantly improving the outcome of CRT.

I would like to thank the Graduate School, the Department of Applied Computing, and the Graduate Dean Awards Advisory Panel for providing me with the Finishing Fellowship award. This award will allow me to focus on wrapping up my dissertation and preparing for my defense.

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Doctoral Finishing Fellowship – Fall 2021 Recipient – Yunxiang Ma

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I came from central China, where I was born and brought up. I obtained my Bachelor of Engineering degree in civil engineering from Xi’an Jiaotong-Liverpool University, a young collaborated university symbolizing the cooperation and communication between the oriental and western world. Then I went to the United Kingdom and got my master’s degree in structural engineering and mechanics from the University of Glasgow and Edinburgh University. I joined MTU in January 2018 and started my study and research life as a Ph.D. student. The study and journey told me to embrace the difference, learn from the best and do what I can.  

Currently, human society is facing some common and severe problems, such as the extreme weather caused by global warming, pollution, and the increasing cost of human resources. As a civil engineer, I would like to help with what I can do. In my vision, the buildings have to be more resilient, ecofriendly, and efficient in cost and human resources in the future. A fundamental improvement to thaw the problems a little would be the improvement of structural systems. I was clueless; then, I met the mass timber structures. Unlike the manufacture of cement, which incinerates stones, or the casting of steel, which melt and treat iron in a furnace, timber structural components manufacture requires much less energy and consolidate the carbon absorbed by the trees. However, despite the outstanding sustainability performance, as a type of natural material, the variation in the mechanical properties and the directional differences limited the utilization. In recent decades, engineered wood products such as CLT broke through the limit and showed great potential as a new and better structural system.

Nevertheless, there are still a lot of technical problems limiting the promotion of mass timber structures. As a civil engineer, I wish to contribute and gain success. I got an opportunity here in MTU to study the manufacture of CLT with low-value timber for first-hand experience. I am studying the CLT wall structures with advanced finite element analysis tools for the structural dynamic response, which could help design and develop mass timber structures. I greatly appreciate MTU and my advisors that provided me the opportunity. And I would like to sincerely thank the Graduate Dean Awards Advisory Panel for approving me for the finishing fellowship award. The award will help me to fully concentrate on finishing my study and dissertation for my Ph.D. degree. It will be a significant step for me to pursue my career and my dream.  

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Michigan Space Grant Consortium graduate fellowship application support

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The Graduate School is offering support services to assist graduate students in applying for the Michigan Space Grant Consortium’s Graduate Fellowship, including a workshop and one-on-one writing support.

MSGC’s Graduate Fellowship opportunity supports graduate students from affiliate
institutions who are conducting research and public service projects relevant to NASA’s strategic interests as expressed in NASA’s 2014 & 2018 Strategic Plans, specifically, research focused on aerospace, space science, and earth system science. Graduate students working in other, related science, technology, engineering, and mathematics fields are also eligible to apply. Starting this year, MSGC is piloting an expanded definition of STEM to include support for interdisciplinary projects that include art, so graduate students conducting research and projects relevant to NASA’s strategic interests in disciplines not traditionally considered STEM, such as the humanities or social sciences, are likewise encouraged to apply.

Fellowship recipients are awarded $5,000. To be eligible, applicants must be U.S. nationals, have a good academic record, and be in good academic standing. Women, under-represented minorities, and persons with disabilities are strongly encouraged to apply. Students currently receiving MSGC Fellowships are eligible to reapply.

Workshop information: Overview and tips from an MSGC Fellowship reviewer
Date and Time: Friday, September 17th, from 11:00 AM – 11:50 AM
Location: Admin 404
Presenter: Will Cantrell, Associate Provost and Dean of the Graduate School
Host: Sarah Isaacson, GLAS Program Director, sisaacso@mtu.edu
Register here: https://forms.gle/RSPYtUHVD6Yjimou6
A recording of the workshop will be available beginning September 21st.

Deadlines:
Wednesday, Nov. 3 at noon — Internal deadline for undergraduate and graduate fellowship proposals
Wednesday, Nov. 10 at 5 p.m. — Final materials, after review and approval by SPO, must be uploaded to MSGC by the applicant

For more information and specific application instructions, visit the MSGC website and the MTU Graduate School’s MSGC web page.

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NSF Graduate Research Fellowship Program Application Support

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The Graduate School is offering support services to assist graduate students in applying for the National Science Foundation’s Graduate Research Fellowship Program, including workshops and one-on-one writing support.  Fellowship recipients earn an annual stipend of $34,000.  To be eligible, applicants must be a U.S. citizen, national, or permanent resident, have never previously applied to GRFP while enrolled in a graduate degree program, have never earned a master’s or professional degree in any field, or completed more than one academic year in a graduate degree-granting program.  Applications are due October 18th – 22nd.  See https://www.nsfgrfp.org/ for full benefits and eligibility details.

Workshop 1: Overview and tips from a former NSF program manager and reviewer
Date and Time: Friday, September 3rd, from 9:00 AM to 10:30 AM
Presenter: Dr. Pushpalatha Murthy, former NSF program manager
Co-hosts: Dr. Debra Charlesworth, former NSF GRFP reviewer, and Sarah Isaacson, NSF GRFP Support Coordinator
Zoom meeting link: Please make sure to sign in with your MTU account before joining the meeting to be admitted.
Join from PC, Mac, Linux, iOS or Android: https://michigantech.zoom.us/j/83018958000

Workshop 2: Crafting your statements: Content and organization
Date and Time: Friday, September 10th, from 10:00 AM to 11:30 AM
Presenter: Sarah Isaacson, NSF GRFP Support Coordinator
Zoom meeting link: Please make sure to sign in with your MTU account before joining the meeting to be admitted.
Join from PC, Mac, Linux, iOS or Android: https://michigantech.zoom.us/j/82410509516

Personalized writing support:
Applicants will receive support via an NSF GRFP Canvas course as well as individualized writing support on application drafts from qualified staff members.

See https://www.nsfgrfp.org/ for more details. Questions? Contact Sarah Isaacson, NSF GRFP Support Coordinator: sisaacso@mtu.edu

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Doctoral Finishing Fellowship Summer 2021 Recipient – Daniel Bryne

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I began my Ph.D. in computer science in the Fall of 2016. I currently work with Dr. Zhenlin Wang and Dr. Nilufer Onder to model and optimize caching systems deployed in cloud computing environments. Data caching helps improve the speed and efficiency of front-end cloud applications such as websites and video streaming. Specifically, we focus on utilizing new memory technologies to lower operational costs while meeting performance targets. In collaboration with researchers at the University of Rochester, we have developed a new data caching system. Our system uses intelligent data replication and allocation across multiple memory devices to maximize performance while reducing overall operating costs. My improvements to caching systems have gone outside the lab, being adopted into a widely-used open-source caching system, memcached.

I am incredibly grateful for my committee’s support as I finish my dissertation over the summer. It has been a wonderful journey, and I have greatly enjoyed my time as a graduate student, especially my tenure as GSG Vice President. I am happy to have had the opportunity to advocate for graduate students and achieve increased support for health care. I also would like to thank the College of Computing for its efforts in creating a strong research environment and a supportive community of graduate students and faculty. I extend my sincere gratitude to the Graduate School for this support during the final period of completing and defending my dissertation.

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