Category: Students of CS

Michigan Tech Ranks Among The World’s Best

Michigan Tech has been ranked among the worlds best college and universities in a recent report by QS World University Rankings, which evaluated over 5,500 colleges and universities throughout the world, ranking the 1,000 best using six metrics, each individually weighted. The metrics include:

  • Academic Reputation
  • Employer Reputation
  • Faculty/Student Ratio
  • Citations per faculty
  • International Faculty Ratio
  • International Student Ratio

Here are the Michigan universities and their rankings:

  • 21 – University of Michigan
  • 157 – Michigan State University
  • 477 – Wayne State University
  • 601-650 – Michigan Technological University

Read more here.


Sergeyev, Students Earn ASEE Conference Awards

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“Efficient Way of Converting outdated Allen Bradley PLC-5 System into Modern ControlLogix 5000 suit”, by Spencer Thompson (pictured), Larry Stambeck, Andy Posa, Sergeyev, and Lecturer Paniz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


50 Named to GLIAC Academic Teams

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.


CS PhD Candidate Ali Jalooli Awarded Finishing Fellowship

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.


GSG to Present Webinar Series in Computer Programming

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.


Campus Visits to Resume Week of June 22

from the Michigan Tech Office of Admissions

Michigan Tech Admissions is excited to welcome back prospective students and their families for campus tours starting Monday, June 22.

After months of thoughtful planning, we are looking forward to implementing solutions to create a fun and robust experience for visitors while being extremely mindful of everyone’s health and safety.

Below are some of the ways in which tours will be modified:

  • Total visit group size will be limited in both the morning and afternoon to 25 people, with tour groups at 1-2 families per guide
  • Visitors and tour guides will be required to wear face coverings at all times when indoors and when maintaining a minimum distance of six feet is not possible outdoors
  • Student tour guides will follow a modified tour route that will avoid tight spaces, elevators, etc.
  • All visitors are being asked to monitor their symptoms consistent with CDC guidelines; all guests will be required to complete a symptom monitoring form prior to arriving on campus

We are excited to get back into the business of showing off our world-class campus, and appreciative of the academic department faculty and staff members who will be meeting with visitors, either in person, following social distancing practices, or virtually.

Plan your campus visit here. (https://www.mtu.edu/admissions/visit/plan)


zombietango Security Expert to Present Penetration Test Lecture

College of Computing Professor Yu Cai, Applied Computing, has arranged for a special guest lecture on penetration testing by security expert Josh Little of zombietango.

The free, 60-minute technical lecture will take place on Thursday, June 11, 2020, at 2:00 p.m., via an online Microsoft Team meeting.

Join the lecture here. The conference ID: 164 473 926#.

Students enrolled in the summer section of SAT 3812, Cybersecurity I, are required to attend the lecture. All students are welcome and encouraged to join.

Contact Professor Yu Cai for additional information.


More Achievements for MTU RedTeam

The MTU RedTeam ranked 13th out of 162 teams in a recent 24-hour Cybar OSINT Capture The Flag (CTF) cybersecurity competition. The team finished tied for 5th place, having completed all the challenges presented by the competition.

Students on the team were Trevor Hornsby (Software Engineering), Shane Hoppe (Computer Science), Matthew Chau (Cybersecurity), Steven Whitaker (Electrical Engineering), and Sankalp Shastry (Electrical Engineering).

Professor Yu Cai, Applied Computing, and Assistant Professor Bo Chen, Computer Science, are advisor and co-advisor of RedTeam, respectively.

RedTeam promotes a security-driven mindset among Michigan Tech students and provides a community and resource for those wishing to learn more about information security. The RedTeam competes in National Cyber League (NCL) competitions, a great way for students to gain competency in cybersecurity tools and boost their resumes.

RedTeam is on Slack at mturedteam.slack.com. Interested students can sign up with a Michigan Tech email. View past RedTeam presentations here.

This OSINT CTF is non-theoretical and contestants work in teams of up to four members to crowdsource the collection of OSINT to assist law enforcement in generating new leads on missing persons.

The contest runs as a Capture the Flag (CTF) format where contestants must collect various “flags” which equate to points. Since the each flag submitted is treated as potential “net new intelligence”, Trace Labs has a team of volunteers known as “Judges” who validate each submission and award points if the flag meets the category requirements. At the end of each CTF, the team with the most points on the scoreboard wins.


Bo Chen, Grad Students Present Posters at Security Symposium

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.


Part I | Jason Hiebel, The College of Computing’s First Graduate

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.