Category: Grad Students

Signature Research Inc. has partnered with Michigan Technological University to accomplish a Phase II STTR project sponsored by the National Geospatial-Intelligence Agency. The two-year, $1 Million project is titled, “Algorithms for Look-Down Infrared Target Exploitation-Phase II.” Michigan Tech’s portion of the $1 million contract is $400K.

Principal investigator of the project is Dr. Timothy Havens, director of the Institute of Computing and Cyberystems (ICC) and associate dean of research for the College of Computing. Havens is joined by Signature Research, Inc. (SGR) Program Manager Matt Blanck, who will lead the SGR side of the project.

At Tech, Havens will be assisted in accomplishing the goals of this project by Research Scientist Adam Webb of the Michigan Tech Research Institute (MTRI) and Nicholas Hamilton, a Computer Science Ph.D. candidate.

“This project will identify physics-based novel signatures and data processing techniques to exploit overhead infrared (IR) imagery using machine learning algorithms.”

“The SGR/MTU Team will generate, collect, and label a wide body of data, implement learning algorithms, develop use cases and tests on those data, and perform a comprehensive study to determine ways in which learning algorithms can automate IR imagery recognition tasks.”

Dr. Timothy Havens

And while this effort is focused on overhead IR imagery, Havens says the methods and software developed will have applicability to other sensing modalities, leading to investigations of multi-modal fusion of all-source data.

Signature Research, Inc. (SGR) solutions to DoD and Intelligence Community customers, and specializes in in Signature Phenomenology, Analysis, and Modeling of items of military interest covering the breadth of the electromagnetic spectrum.

The National Geospatial-Intelligence Agency (NGA) is a combat support agency under the United States Department of Defense and a member of the United States Intelligence Community, with the primary mission of collecting, analyzing, and distributing geospatial intelligence in support of national security.

The Institute of Computing and Cybersystems (ICC) promotes research and learning experiences in the areas of cyber-physical systems, cybersecurity, data sciences, human-centered computing, and scalable architectures and systems for the benefit of Michigan Tech and society at large.

The Michigan Tech Research Institute (MTRI) is an innovator in building information from data through the marriage of phenomenological understanding and implementation of mathematically rigorous algorithms. Together with University and other national and international collaborators, MTRI researchers and scientists work to solve critical problems in national security, protecting and evaluating critical infrastructure, bioinformatics, Earth sciences, and environmental processes, according to their website.

Written by Karen S. Johnson, Communications Director, College of Computing

Computer Science master’s student and doctoral candidate Dylan Gaines is one of three Michigan Tech students recently awarded a multi-year National Science Foundation (NSF) Graduate Research Fellowship. 

The oldest STEM-related fellowship program in the United States, the prestigious NSF Graduate Research Fellowship Program (GRFP) recognizes exceptional graduate students in science, technology, engineering and mathematics (STEM) disciplines early in their career and supports them through graduate education.

NSF-GRFP fellows are an exceptional group; 42 fellows have gone on to become Nobel Laureates, and about 450 fellows are members of the National Academy of Sciences.

The additional Michigan Tech graduate students who received the fellowship are Greta Colford ’19 (Mechanical Engineering) and Seth Kriz (Chemical Engineering).

The fellowship provides three years of financial support, including a $34,000 annual stipend for each fellow and a $12,000 cost-of-education allowance for the fellow’s institution. In addition to financial support, the GRFP provides opportunities for research in national laboratories and international research.

Read an April 15, 2020, Tech Today article about this here.

Four years, two degrees

Gaines, who arrived as a first-year student in fall 2016, was awarded the Bachelor of Science in Computer Science in spring 2019, also completing a concentration in Game Development. He’s pursuing on his master’s now, which he expects to complete in December 2020. He has also begun working on his Ph.D. in Computer Science at Michigan Tech, which he anticipates completing in spring 2023.

Commenting on Gaines’ award, Department of Computer Science Chair Dr. Linda Ott says, “All of us in the Department of Computer Science are very excited that Dylan is being awarded an NSF Graduate Research Fellowship. This is clear affirmation that Dylan is an excellent student, and that even as an undergraduate he demonstrated strong research skills.”

“I am very thankful for this award, and for everyone that supported me through the application process and helped to review my essays” Gaines says.

Early interest, a first-year research assistant

Ott notes that it is also a tribute to Gaines’s advisor, CS Associate Professor Keith Vertanen who has established a very successful research group in intelligent interactive systems.

“Dr. Ott encouraged the pursuit of research in her CS 1000 class by bringing in faculty like Dr. Vertanen to present what they were working on,” Gaines says. “Because of this, I started doing research with Dr. Vertanen my first semester at Michigan Tech, and he has been nothing but supportive the whole time,” adding, “all of the faculty and staff at Michigan Tech are very supportive of students and make teaching a priority.”

Vertanen recalls that in fall 2017, Gaines approached him following a talk about Vertanen’s research in the CS department’s first-year seminar class.

“I was so impressed by him that I subsequently hired him as an undergraduate research assistant, something I would normally not do with a first-year student,” Vertanen confirms. “Since then, he has been a key contributor to my research group.”

“It became quickly clear to me he was a talented, hard-working, and curious researcher,” Vertanen says. I was pleased to learn NSF recognized this, as well, by awarding him a GRF. I’m excited to see what he’ll accomplish during his Ph.D.”

Text entry techniques

Gaines’s research with Vertanen focuses on text entry techniques for those with visual impairments. His master’s and doctoral research will continue this work. He also plans to develop assistive technologies for use in Augmented Reality. 

His aim is to make smartphones—and technology in general—more accessible for people with visual impairments. Looking ahead, Gaines definitely wants to continue to pursue research, but he’s unsure yet if it will be in academia or in industry. “At this time, I am open to both possibilities,” he says.

In his first two years at Michigan Tech, Gaines was instrumental in research leading to two papers accepted for the 2018 and 2019 ACM Conference on Human Factors in Computing Systems, with acceptance rates of 24% and 26%, respectively. For both papers, Vertanen notes that Dylan helped design and execute the user studies, and also provided careful feedback that improved the submitted papers, the rebuttals, and the final papers. CHI is the flagship conference in human-computer interaction.

During his undergraduate studies, Gaines worked with Vertanen on his NSF project, “CAREER: Technology Assisted Conversations.” In the first year of his PhD, he worked on two NSF projects with Vertanen, “CHS: Small: Rich Surface Interaction for Augmented Environments” and “CHS: Small: Collaborative Research: Improving Mobile Device Input for Users who are Blind or Low Vision.” 

Gaines plans to continue his research in line with the above project, “Improving Mobile Device Input for Users who are Blind or Low Vision,” though now funded by the GRF. See below for more information about the research projects.

“Dylan is one of the strongest and easiest to work with students I have encountered in over ten years of advising undergraduate research students,” Vertanen concludes. “I have no doubt he will produce an exciting and impactful portfolio of research during his Ph.D. studies.”\

An active life

Gaines is an active member of Triangle Fraternity, which he says helped to shape who he is as a person and as a scholar. Triangle is a fraternity of engineers, architects, and scientists that develop balanced men who cultivate high moral character, foster lifelong friendships, and live their lives with integrity, according to the organizations’ website.

As an undergraduate, Gaines was active in the Organization for Information Systems, and he served on the Dean’s Student Advisory Council. He also participated for three years in Husky Game Development (HGD) Enterprise, capping his final year as HGD president and coordinating 66 students on 12 teams. In HGD, student teams design and build video games, often in collaboration with sponsors and alumni.

In summer 2019, he helped with a week-long Computer Science department Summer Youth Program for high school girls, assisting in development of the web API used in their projects, and helping the girls build their mobile apps.

Gaines competed in three seasons for the Huskies as a member of the cross country and track teams, Now, he’s a graduate assistant coach for the team. “I started running cross country about nine years ago,” Gaines affirms. “I ran in the 8k and the 3k steeplechase on the MTU team for three years during my undergrad. I have loved watching the Cross program grow and improve throughout my time here.”

View Gaines’s Michigan Tech Cross Country record here.

Trust, a novel interface, peer mentoring

As a third-year undergrad, Gaines conducted his own research project investigating a novel interface for eye-free text entry, developing an Android application and integrating it with the statistical decoder used in Vertanen’s research group.

“This decoder has evolved over many years and has served as the basis for a variety of projects,” Vertanen explains. “As such, it has a large code base with a complex API. Despite this, Dylan was able to incorporate the decoder into his project with only minimal guidance. He asked questions when stuck, but almost always figured out solutions on his own. His software engineering skills are excellent and he is one of the few students I trust to make changes to the decoder.”

An application programming interface, or API, is a computing interface which defines interactions between multiple software intermediaries. It defines the kinds of calls or requests that can be made, how to make them, the data formats that should be used, the conventions to follow, among other functions.

Upon completing the prototype of his eyes-free text entry interface, Gaines designed and conducted a longitudinal user study. 

“In designing the experimental methodology for his study, he routinely challenged me with probing and insightful questions about how the study should be designed,” Vertanen says. “I felt like I was working with a senior Ph.D. student rather than an undergraduate. I cannot overstate how impressive this is; many students just blindly follow my suggestions, even my bad ones! Now, whenever I design a new user study, I always discuss it with Dylan as this helps refine the design and spot problems.”

Vertanen also asks his other students to pilot their studies with Gaines, as he often provides feedback that improves their studies.

ACM ASSETS 2018

Gaines’s eyes-free text entry interface work culminated in his solo submission to the ACM ASSETS 2018 Student Research Competition (SRC), “Exploring an Ambiguous Technique for Eyes-Free Mobile Text Entry.” And his related technical paper was accepted by the SRC competition, which had a 50% acceptance rate.

In October 2018, Vertanen and Gaines traveled to Galway, Ireland, where Gaines presented a poster and a talk at ASSETS 2018 about his interface, Tap123. Tap123 offers the potential for faster and easier-to-learn text input for users who are visually impaired. ACM ASSETS is the premier venue for research on assistive technologies and accessible computing.

“His writing skills are excellent; he produced a quality paper with minimal guidance from me,” says Vertanen of Gaines’s ASSETS 2018 participation. “At his poster presentation, he did an excellent job communicating his research and answering questions, and he advanced to the final round, where he gave an excellent talk to the entire conference, winning third-place in the undergraduate category.

Significant impact, contribution

Vertanen reflects that while Gaines is clearly very bright, he also demonstrates an ability to critically assess his understanding of a topic and asked questions whenever he suspects his solutions might be incorrect. 

In his role as Dylan’s research advisor, Vertanen encouraged Dylan, when writing he was writing his research plan, to not only incorporate feedback he received presenting at ASSETS, but also to think about how his work might be relevant in a post-mobile phone world.  I was pleased with the research plan he created,” Vertanen says.

Vertanen predicts that Gaines’s planned work will significantly impact the utility of future AR interfaces for people with visual impairments, adding, “More broadly, his work may also impact everyone, since limitations of device or situation may make audio-only AR an attractive alternative to visual-based AR interaction”

And Gaines has a head start on the publication process. “Throughout his time in my group, he has shown a keen interest in the academic publication process,” Vertanen says of Gaines. “This has already manifested itself; as a first-year Ph.D. student he has one paper in submission and another ready for submission.”

With this publication experience and motivation, Vertanen expects that Gaines’s Ph.D. research will be disseminated widely. Further, this work on interfaces for those with disabilities will provide motivating material in the College of Computing’s ongoing efforts to recruit students who are typically underrepresented in computer science.

NSF Research Projects

CAREER: Technology Assisted Conversations
Sponsor: NSF
PI: Keith Vertanen
Abstract: Face-to-face conversation is an important way in which people communicate with each other, but unfortunately there are millions who suffer from disorders that impede normal conversation. This project will explore new real-time communication solutions for people who face speaking challenges, including those with physical or cognitive disabilities, for example by exploiting implicit and explicit contextual input obtained from a person’s conversation partner.

The goal is to develop technology that improves upon the Augmentative and Alternative Communication (AAC) devices currently available to help people speak faster and more fluidly. The PI will assemble teams of undergraduates to develop the project’s software, and he will host a summer youth program on the technology behind text messaging, offering scholarships for women, students with disabilities, and students from underrepresented groups. Funded first-year research opportunities will further help retain undergraduates, particularly women, in computing.

CHS: Small: Rich Surface Interaction for Augmented Environments
Sponsor: NSF
PI: Keith Vertanen
Co-PI: Scott Kuhl
The preliminary data for this project was developed through an Institute of Computing and Cybersystems faculty seed grant funded by Michigan Tech alumnus Paul Williams. Read a blog post about this research here.
Abstract: Virtual Reality (VR) and Augmented Reality (AR) head-mounted displays are increasingly being used in different computing related activities such as data visualization, education, and training. Currently, VR and AR devices lack efficient and ergonomic ways to perform common desktop interactions such as pointing-and-clicking and entering text. 

The goal of this project is to transform flat, everyday surfaces into a rich interactive surface. For example, a desk or a wall could be transformed into a virtual keyboard. Flat surfaces afford not only haptic feedback, but also provide ergonomic advantages by providing a place to rest your arms. This project will develop a system where microphones are placed on surfaces to enable the sensing of when and where a tap has occurred. Further, the system aims to differentiate different types of touch interactions such as tapping with a fingernail, tapping with a finger pad, or making short swipe gestures. This project will investigate different machine learning algorithms for producing a continuous coordinate for taps on a surface along with associated error bars.

CHS: Small: Collaborative Research: Improving Mobile Device Input for Users who are Blind or Low Vision. 
Sponsor: NSF
PI: Keith Vertanen
Abstract: Smartphones are an essential part of everyday life. But for people with visual impairments, basic tasks like composing text messages or browsing the web can be prohibitively slow and difficult. The goal of this project is to develop accessible text entry methods that will enable people with visual impairments to enter text at rates comparable to sighted people. This project will design new algorithms and feedback methods for today’s standard text entry approaches of tapping on individual keys, gesturing across keys, or dictating via speech.

Publications by Dylan Gaines

Vertanen, K., ​Gaines, D.​, Fletcher, C., Stanage, A., Watling, R., Krisstensson, P.O. 2019. VelociWatch: Designing and Evaluating a Virtual Keyboard for the Input of Challenging Text. In ​Proceedings of The ACM Conference on Human Factors in Computing Systems (CHI ‘19)​.

Gaines, D., Exploring an Ambiguous Technique for Eyes-Free Mobile Text Entry. 2018. In ​Proceedings of the 20t​ h​ International ACM SIGACCESS Conference on Computers and Accessibility Student Research Competition​ ​(ASSETS ‘18)​.

Vertanen, K., Fletcher, C., ​Gaines, D.​, Gould, J., Kristensson, P.O. 2018. The Impact of Word, Multiple Word, and Sentence Input on Virtual Keyboard Decoding Performance. In ​Proceedings of the ACM Conference on Human Factors in Computing Systems​ ​(CHI ‘18)​.

More Background

The Deans’ Student Advisory Council, College of Business, serves to foster effective communication among the Dean’s Office, faculty, and students, and provide advice to the Dean on matters relating to undergraduate business education and the College community.

Husky Game Development Enterprise (HGD). The mission of HGD is to design and develop games for business, education, and fun. We work as an interdisciplinary, student-run enterprise that fosters productivity, creativity, and effective business practices. Our goal is to create quality software that will attract and satisfy industry sponsors.

The Institute of Computing and Cybersystems (ICC) is the research arm of the Michigan Tech College of Computing. It leads and promotes opportunities for faculty and students to work across organizational boundaries to create an environment that is a reflection of the contemporary technological innovation that mirrors today’s industry and society.

The National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 “to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense.

The NSF Graduate Research Fellowship Program (GRFP) recognizes and supports individuals early in their graduate training in Science, Technology, Engineering, and Mathematics (STEM) fields.

The Organization for Information Systems (OIS) is a student organization focused on the technical and professional development of its members.

Triangle Fraternity was founded in 1907 by sixteen engineers at the University of Illinois.  From the start, it was meant to be a place where men of similar majors could socialize, support each other’s academic pursuits and better prepare themselves for successful careers.  Since that time, our membership has grown and expanded to include mathematics and the physical sciences as well as architecture, making us STEM long before the term was coined in 2001. Today, we continue to provide a unique social, academic and professional experience for STEM majors.

Professor Aleksandr Segeyev, Applied Computing, and a group of Michigan Tech students presented two papers at the 2020 American Society for Engineering Education (ASEE) Gulf-Southwest Annual conference, which was conducted online April 23-24, 2020. Both papers received conference awards.

The Faculty Paper Award

“Pioneering Approach for Offering the Convergence MS Degree in Mechatronics and Associate Graduate Certificate”
by Sergeyev, Professor and Associate Chair John Irwin (MMET), and Dean Adrienne Minerick (CC).

The Student Paper Award

“Efficient Way of Converting outdated Allen Bradley PLC-5 System into Modern ControlLogix 5000 suit”, by Spencer Thompson (pictured), Larry Stambeck, Andy Posa, Sergeyev, and Lecturer Paniz Hazaveh, Applied Computing.

Founded in 1893, the American Society for Engineering Education is a nonprofit organization of individuals and institutions committed to furthering education in engineering and engineering technology.

The Michigan Tech Athletics department has announced that 46 track and field student-athletes, and four Huskies from the men’s tennis team were recently named to the GLIAC All-Academic and All-Academic Excellence Teams. Below are the College of Computing students and recent graduates who appeared on the academic teams.

All-Academic Excellence

Academic Excellence Teams comprise student-athletes that have a cumulative GPA of 3.50-4.0. Grades are based on marks from the spring semester.

• Men’s Track & Field: Robbie Watling
  Sr., Computer Science
  Ryan Beatley, Jr.
  Computer Engineering
• Men’s Tennis:
  Siddhesh Mahadeshwar
  So., Computer Science
  Nico Caviglia, Jr.
  Computer Engineering

All-Academic

All-Academic Teams comprise those student-athletes that meet criteria and carry a cumulative grade point average (GPA) of 3.0-3.49.

• Men’s Track and Field:
  Bernard Kluskens
  Gr., Cybersecurity

See all the academic team honorees here.

Academic Team criteria states the student-athlete must be an active member on the roster at the end of the season, and not a freshman or a first-year transfer student.

The Michigan Tech Graduate School has announced that Computer Science Ph.D. candidate Ali Jalooli is among the graduate students who have received a Doctoral Finishing Fellowship Award.

Jalooli’s research studies the optimization of message routing in heterogeneous wireless networks. His dissertation is titled, “Enabling Technologies for Internet of Things: Optimized Networking for Connected and Autonomous Vehicles.”

Each semester, the Graduate School awards Finishing Fellowships that provide support to Ph.D. candidates nearing completion of their degrees. The fellowships, available through the generosity of University alumni and friends, are intended to recognize outstanding Ph.D. candidates who are in need of financial support to finish their degrees, and who are also contributing to the attainment of goals outlined in The Michigan Tech Plan. Support ranges from a $2,000 stipend to full support (stipend and tuition).

Jalooli’s research focuses on vehicular “networks in smart cities. He notes that research in this area is of great importance, as it advances cutting-edge connected and autonomous vehicle technologies.

“This has far-reaching consequences for many aspects of daily life, given the expanding world of the Internet of Things,” he explains. “Connected vehicles provide various benefits, spanning from advanced driver assistance, remote diagnostics, and infotainment for consumers to road safety, improving response time for emergency vehicles, and even improving national and international economies by ameliorating traffic congestion.”

“My work at Tech on the underlying networks that drive these technologies enhances the performance and feasibility of robust wireless networks,” Jalooli says. “During my time at Tech, I have also gained teaching experience and increased responsibility in course development and assessment as a teaching assistant and lead instructor.”

“I am grateful to the Graduate School and the Graduate School Dean Awards Advisory Panel for awarding me a Finishing Fellowship,” Jalooli says. “I am also grateful to my advisors, Dr. Kuilin Zhang and Dr. Min Song, for their support and guidance.”

Read a Grad School blog post about Ali Jalooli here.

Additional recipients of graduate student awards appear below.
Doctoral Finishing Fellowship Award: Elizabeth M. Barnes, Forest Science; Shahab Bayani Ahangar, Mechanical Engineering-Engineering Mechanics; Haitao Cao, Geophysics ; Eassa Hedayati, Computational Science and Engineering; Pratik Umesh Joshi, Chemical Engineering ; Kevin C. Nevorski, Biological Sciences ; Bethel Worku Tarekegne, Environmental Energy and Policy; Hua Wang, Rhetoric, Theory and Culture
Portage Health Foundation Graduate Assistantship: Lavanya Rajesh Kumar, Applied Cognitive Science and Human Factors; Dylan G. Turpeinen, Chemical Engineering
Matwiyoff & Hogberg Endowed Graduate Fellowship: Wenkai Jia, Biomedical Engineering
The DeVlieg Foundation 2020 Summer Research Award in Biology/Wildlife: Angela M. Walczyk, Biological Sciences

Profiles of all the current recipients can be found online.

The Graduate Student Government (GSG) Professional Development Committee has organized a free webinar series in Computer Programming, which begins Tuesday, July 14, 2020.

July 14: “Introduction to Machine Learning with Python,” by Timothy Havens (CC)

July 15: “Managing Data” (Data Mining)” by MS Data Science candidate Sneha Nimmagadda

July 16: “Introduction to Deep Learning,” by Timothy Havens (CC)

Seats are not limited, but participants are asked to register so webinar organizers know how many attendees to expect.

Find more information, including links to register and join Zoom meetings, visit the GSG website.

College of Computing Assistant Professor Bo Chen, Computer Science, and his graduate students presented two posters at the 41st IEEE Symposium on Security and Privacy, which took place online May 18 to 21, 2020.

Since 1980, the IEEE Symposium on Security and Privacy has been the premier forum for presenting developments in computer security and electronic privacy, and for bringing together researchers and practitioners in the field.

Chen leads the Security and Privacy (SnP) lab at Michigan Tech. He is a member of Michigan Tech’s Institute of Computing and Cybersystems (ICC) and its Center for Cybersecurity (CyberS).

His research focuses on applied cryptography and data security and he investigates novel techniques to protect sensitive data in mobile devices/flash storage media and cloud infrastructures. Chen is also interested in designing novel techniques to ensure security and privacy of big data.

Chen will serve as general chair for the First EAI International Conference on Applied Cryptography in Computer and Communications (AC3), which will be held in Xiamen, China, in May 2021.

Visit Chen’s faculty website here.

Poster: A Secure Plausibly Deniable System for Mobile Devices against Multi-snapshot Adversaries
Authors: Bo Chen, Niusen Chen
Abstract: Mobile computing devices have been used broadly to store, manage and process critical data. To protect confidentiality of stored data, major mobile operating systems provide full disk encryption, which relies on traditional encryption and requires keeping the decryption keys secret. This however, may not be true as an active attacker may coerce victims for decryption keys. Plausibly deniable encryption (PDE) can defend against such a coercive attacker by disguising the secret keys with decoy keys. Leveraging concept of PDE, various PDE systems have been built for mobile devices. However, a practical PDE system is still missing which can be compatible with mainstream mobile devices and, meanwhile, remains secure when facing a strong multi- snapshot adversary. This work fills this gap by designing the first mobile PDE system against the multi-snapshot adversaries.

Poster: Incorporating Malware Detection into Flash Translation Layer
Authors: Wen Xie, Niusen Chen, Bo Chen
Abstract: OS-level malware may compromise OS and obtain root privilege. Detecting this type of strong malware is challeng- ing, since it can easily hide its intrusion behaviors or even subvert the malware detection software (or malware detector). Having observed that flash storage devices have been used broadly by computing devices today, we propose to move the malware detector to the flash translation layer (FTL), located inside a flash storage device. Due to physical isolation provided by the FTL, the OS-level malware can neither subvert our malware detector, nor hide its access behaviors from our malware detector.

The 41st IEEE Symposium on Security and Privacy was sponsored by the IEEE Computer Society Technical Committee on Security and Privacy in cooperation with the International Association for Cryptologic Research. The Symposium was May 18-20, 2020, and the Security and Privacy Workshops were May 21, 2020.

By Karen S. Johnson, Communications Director, College of Computing and ICC
This is the first part of a two-part article about Jason Hiebel, Ph.D., the college of Computings first graduate. Watch this blog and College of Computing social media channels for “Part II, A Supportive and Wise Network.”

PART I | THE FAST TRACK

A Profile of Dr. Jason Hiebel: The College of Computing’s First Graduate

In fall 2007, Jason Hiebel enrolled in his first semester at Michigan Tech. He’s been studying, teaching, and researching computer science and mathematics at Tech ever since, participating in December 2019 Commencement ceremonies. Shortly after, he successfully defended his dissertation and was awarded his Doctor of Philosophy in Computer Science, the very first from the College of Computing.

“Graduating when I did, and becoming the first Ph.D. for the College of Computing, was really a fluke of timing,” Hiebel says. “But after all my time here in Houghton and with the Computer Science department, I am pleased to have the honor of being the college’s first Ph.D. It’s something that can be mine and mine alone, and I’m okay with being a little bit greedy about it!”

Husky Tenacity

Hiebel grew up north of Green Bay, Wis., and attended Bay Port High School, where he was active in the chess club and the marching band.

He says that during high school, “I was also the kind of person to push for opportunities far beyond those normally available. For example, while our school did offer some computer science courses, they were mostly self-taught in a small computer lab. But I wanted to be a computer scientist, and I wanted to be a professor—even if I lacked an understanding of what that truly entailed at the time.”

So, he pushed himself to complete the entire computer science curriculum before the end of his sophomore year, then took the AP exam. Following, Hiebel continued with the curriculum thanks to the State of Wisconsin, which paid for him to complete several computer science courses at the University of Wisconsin Green Bay.

“These were not opportunities that were typically available to me or anyone else at Bay Port,” Hiebel notes. “I had to fight for these opportunities, with the school and the state. But that Tenacity is exactly what Huskies are all about, right?”

All in all, Hiebel says he started at Michigan Tech as a junior in the Computer Science department and as a sophomore overall.

The Fast Track to Teaching and Research

During his first few weeks at Michigan Tech, Hiebel’s sole major was Computer Science. But soon, he began to pursue a double major in another field he enjoys: mathematics.

Hiebel completed his B.S. in Computer Science in summer 2010, and while he was finishing his B.S. in Mathematics, he dual-enrolled as a graduate student in Computer Science. He completed the Mathematics B.S. a year later, and in spring 2012 he received his Master of Science in Computer Science.

In pursuit of his Ph.D., Hiebel was supported by graduate teaching assistantships (GTA), teaching assistantships, and graduate research stipends (GRA). He spent several summers interning at MIT Lincoln Labs, the Department of Defense, and the Michigan Tech Research Institute (MTRI).

“As a GTA, I did my fair share of grading and also led the lab sections for the introductory courses for three semesters,” Hiebel explains. For two semesters, as an instructor, he taught the accelerated introductory programming course (CS1131) and the undergraduate AI course (CS4811). Some semesters he was both a GTA and an instructor. Finally, with the support of his advisors, Hiebel was able to advance his research full time with a GRA stipend.

As a master’s student, Hiebel worked on developing tools for AI education with Laura Brown and another graduate student. As a Ph.D. student, his focus was on building his dissertation research under graduate advisors Laura Brown and Zhenlin Wang.

“Jason’s research applies machine learning to computer system optimization. He has become an expert in both fields,” says Professor Zhenlin Wang, Computer Science.

“The nature of this type of research makes it very challenging for a student to focus, as it requires continual effort and extended skills,” Wang adds. “Throughout his Ph.D. study, Jason consistently demonstrated diligence, perseverance, and creativity. For these reasons and others, Jason has always been a stand-out among our graduate students.”

In his dissertation, Hiebel investigates the application of online machine learning methods, particularly multi-armed bandit methods, to performance optimization problems in computer systems.

“Computers offer a myriad of configurations for customizing how the system performs. Depending on what you run on the system, different configurations can have a drastic effect on performance,” Hiebel explains. “Ideally, we would like to match the configuration to the workload, but doing so requires a broad expertise of how different components of an individual system interact.”

“My work focuses on modeling this type of configuration problem and uses artificial intelligence to automatically, without human intervention, select the best-performing configurations for a given workload.”

Looking Ahead

Hiebel signed on to instruct some spring 2020 semester courses for the Computer Science department while he waited on his paperwork to process for a job with the Department of Defense. “With the growing pains of the new college, there was a need for a few more people to teach and I was happy to lend my experience,” he says.

But like many in the wake of the global pandemic, Hiebel’s plans are in flux right now. He’s teaching a Summer Track A course at Michigan Tech, and advising an undergraduate research project, as well.

“Mainly, I’ll just be waiting for things to open back up so I can get processed for the job I’m waiting for,” Heibel says. “During that limbo, I hope to tackle some research problems and continue to keep myself busy.”
Hiebel says that in the short term, he is hoping to lend his expertise to government research. But in the long term, his aspirations are to return to academia.

“Only time will tell where I end up,” he muses. “But wherever I do end up, I think I will be happy if I’m working on interesting problems and using the skills and knowledge I gained as a Ph.D. student here at Tech.”

In the meantime, Hiebel enjoys living in the Houghton community. He’s a big fan of winter, and even Houghton summers are far too warm for his tastes. “Small town life suits my sensibilities better,” he confirms.

The International Graduate Student Communication and Culture Center (IGSC3) is hosting a weekly Conversation Circle on Thursdays at 10:00 a.m. through June 26, 2020.

The aim of the conversation circles is to give international students opportunities to practice conversational English in an informal setting.

International students will discuss a range of topics selected by IGSC3 coaches, as well as students. Topics often include American culture, popular culture, travel, and history.

The meetings will be hosted through an online Zoom meeting. Sign up to participate here.

By Karen S. Johnson, Communications Director, College of Computing

Data Science graduate student Bonnie Henderson began her master’s degree at Michigan Tech in fall 2019. From Jarrell, Texas, Henderson earned a B.A. in mathematics and French at Southwestern University, Georgetown, Texas.

Henderson is a recipient of Michigan Tech’s David House Family Fellowship, which she describes as a great honor. Her research interests are in artificial intelligence and machine learning.

“The fellowship has made an incredible difference in my life,” Henderson says. “As the first person in my family to go to college, it is an amazing opportunity to pursue my graduate studies fully funded.”

This January, Henderson began managing the College of Computing Learning Center (CCLC), an undergraduate learning lab staffed entirely by student coaches and available to all Michigan Tech students in Computing classes.

“I mostly work to help manage the CCLC,” Henderson says. “I help tutor students in undergraduate computer science courses during CCLC walk-in hours, help run CCLC staff meetings, and when the time comes, I’ll help manage the interviewing and hiring process for new tutors.”

Many Opportunities for Learning

Henderson says her work with the CCLC often presents computer science issues and computing problems that are not always common in data science, providing her with many opportunities for learning.

“Studying data science, I work a lot with programming,” Henderson says. “However, I often work with problems related to mathematics in programming and not always the typical undergraduate programming issues.”

What Henderson likes best about tutoring is what she learns along the way. “Since I did not complete my undergraduate degree at MTU, I’m not always familiar with the problems that students are facing when they come in for tutoring. Everyone looks at a problem a little differently, and I get the opportunity to be exposed to many different thought processes and unique solutions.”

New Methods of Virtual Support

Not surprisingly, the plans for the CCLC have changed a lot since the COVID-19 pandemic began earlier this year. “Before this news, we were planning on hosting workshops and other events for students in the College of Computing and other departments, such as guided study groups, exam review sessions, and specialized support for individual classes,” Henderson says.

But since the CCLC cannot offer conventional face-to-face tutoring right now, these plans are changing and Henderson and the CCLC are responding with new methods of virtual support. “We have started sending out a weekly CCLC email to students, which shares coding tips and tricks, quizzes, and news, and we are working to encourage more student involvement, especially with the current difficulties we are all facing,” Henderson explains.

So, instead of hosting face-to-face events, CCLC walk-in hours are now being hosted through Zoom, and the Learning Center is maintaining a Canvas page where students can find help and find information on their own. They also hope to host some virtual workshops soon. Students can sign up for the CCLC Canvas page here: https://mtu.instructure.com/enroll/KWFTJ9.

Balancing Life, Work and School

Henderson says the most challenging thing about balancing life, work, and school is finding a separate time and place for each one.

“I’ll often be looking at one thing, and something in it reminds me of a problem from something else. I have a tendency to hop around a lot, and sometimes things may get lost,” she says. “It has become increasingly difficult working and studying from home, as everything is now sharing the same physical space.”

To help with that, Henderson says it’s helpful to try to have different spaces for the things she has to do. “Like one chair for working and another chair for schoolwork, even if they are in the same room. Some sort of distancing between everything is definitely needed.”

Learn More About the CCLC

Visit the CCLC website here. Visit the CCLC’s Infinite Loop: Resources to Explore, Learn, Code, Repeat.

The Dave House graduate student assistantships provide $30,000 annually for three years to each of three graduate assistants in Michigan Tech’s Master of Science in Data Science program.

About Dave House ’65, University Friend and Donor

Dave House ’65 (EE) is a longtime friend and generous donor to Michigan Tech.

“I support Michigan Tech because I believe in the critical importance of higher education, not only for the state and the nation, but most importantly for our graduates, House says in an EE department alumni profile.

“The Fourth Industrial Revolution changes everything, and Michigan Tech is perfectly positioned to prepare our students for these changes. I support fellowships in data science because of the role that sensing, networking, big data, artificial intelligence and human/machine interfacing has in the Fourth Industrial Revolution. Supporting graduate and research activities is critical to keeping Michigan Tech agile and at the cutting edge of this revolution.”

The Data Science Master of Science

The Data Science Master of Science degree is offered jointly by the College of Engineering and the Department of Computer Science. Associate Professor Laura Brown, Computer Science, is director of the program.