Category: College of Computing

Research Excellence Fund Awards Announced

by Vice President for Research Office

The Vice President for Research Office announces the Fall 2020 REF awards. Thanks to the individual REF reviewers and the REF review panelists, as well as the deans and department chairs, for their time spent on this important internal research award process.

Research Seed Grants:

  • Sajjad Bigham, Mechanical Engineering-Engineering Mechanics
  • Bo Chen, Computer Science
  • Daniel Dowden, Civil and Environmental Engineering
  • Ana Dyreson, Mechanical Engineering-Engineering Mechanics
  • Hassan Masoud, Mechanical Engineering-Engineering Mechanics
  • Xinyu Ye, Civil and Environmental Engineering

Briana Bettin, Part II: Research, Mentors, Creative Energy

Briana Bettin, front, far right, with fall 2019 Computer Science dept. teaching assistants

Michigan Tech 2020 Ph.D. graduate Briana Bettin, Computer Science, is among six new faculty members the College of Computing welcomed this fall. Bettin is an assistant professor for the Department of Computer Science and the Cognitive and Learning Sciences department.

This semester, she is teaching courses including CS1121 Introduction to Programming in C/C++, and pursuing research and other projects with faculty and students.

In this, Part II of this profile of Briana Bettin, Bettin and her faculty mentors talk research, education, and novel ideas.

Read the first installment of this article, ‘Briana Bettin, Asst. Prof., Part I: Neopets, HTML, Early Success Part I”, published Oct. 28, 2020, here.

Mental models, constructing knowledge, programming analogies.

Briana Bettin’s research interests are many. They include user experience, human factors, human-computer interactions, mental models, information representation, rural digital literacy, education, engagement, retention, and digital anthropology. Her Ph.D. dissertation aims to better understand how novice programmers approach learning programming, and how their construction of programming ideas might be better facilitated.

“I delve into mental models research and explore theories for how students might construct knowledge,” she explains. “Specifically, the major studies in my dissertation explore how prior applicable knowledge might allow for transfer to programming concepts, which can feel very novel to students who have never programmed before.”

Bettin is also exploring methods for designing programming analogies, testing their application in the classroom, and observing how their use may impact student understanding of specific topics. “I take a very user experience-oriented approach, and work to apply methods and ideas from user-experience research in the CS classroom space,” she says.

Creative energy, insight, and humanity.

With Computer Science department faculty members Associate Professor Charles Wallace and Assistant Professor Leo Ureel, Bettin has worked on projects studying how novice programmers communicate. She and Ureel also worked on several ideas in the introductory CS classrooms, including exploring pair programming obstacles in the classroom and in research.

“I got to know Dr. Wallace during my Ph.D., and I love getting his perspective on research ideas,” Bettin says. “He has so many interesting ideas, and he’s so fun to talk to!”

“Briana brings loads of creative energy, insight, and humanity to everything she does,” says Wallace. “We are very fortunate to have her with us.”

Passionate about Computing Education.

Other research collaborators include Lecturer Nathan Manser, Geological and Mining Engineering and Sciences, and Senior Lecturer Michelle Jarvie-Eggart, Engineering Fundamentals, College of Engineering, with whom Bettin has explored topics in technology acceptance across engineering and computer science.

“Briana has been an enthusiastic addition to our research group,” Jarvie-Eggart says, who is working with Steelman and Wallace on improving engineering students’ acceptance of programming. “She really is amazing!”

Jarvie-Eggart sat in on Bettin’s Intro to Programming class in fall 2019, and noted that Bettin’s. approach of teaching algorithmic thinking and logic—before students begin programming—helps make programming more accessible to all.

“It builds foundational knowledge from the ground up,” she says. “Our research team is very excited about using her progressive CS education approaches to teach engineers programming.”

Stefka Hristova, in Michigan Tech Humanities, has always been supportive, helping me cultivate an interdisciplinary research vision and voice,” Bettin says. “Dr. Robert Pastel has also been so valuable in helping me approach my research with strong design. He has given me a lot of insight and I am so appreciative!”

“Briana is passionate about Computing Education, and she is invested in infusing equity and diversity into the STEM field,” Hristova says.


In Part III of this article, to be published soon, Briana Bettin talks about peer mentors and friends … and they say a few words, too.


Read the first installment of this article, ‘Briana Bettin, Asst. Prof., Part I: Neopets, HTML, Early Success Part I”, here.

Sidike Paheding Publishes Paper in Expert Systems and Applications Journal

A research paper by Assistant Professor Sidike Paheding, Applied Computing, is to be published in the November 2020 issue of the journal, Expert Systems and Applications.

An in-press version of the paper, “Binary Chemical Reaction Optimization based Feature Selection Techniques for Machine Learning Classification Problems,” is available online.

Highlights

  • A chemical reaction optimization (CRO) based feature selection (FS) technique is proposed.
  • The proposed CRO based FS technique is improvised using particle swarm optimization.
  • Performance evaluation of proposed techniques on benchmark datasets gives promising results.

Paper Abstract

Feature selection is an important pre-processing technique for dimensionality reduction of high-dimensional data in machine learning (ML) field. In this paper, we propose a binary chemical reaction optimization (BCRO) and a hybrid binary chemical reaction optimization-binary particle swarm optimization (HBCRO-BPSO) based feature selection techniques to optimize the number of selected features and improve the classification accuracy.

Three objective functions have been used for the proposed feature selection techniques to compare their performances with a BPSO and advanced binary ant colony optimization (ABACO) along with an implemented GA based feature selection approach called as binary genetic algorithm (BGA). Five ML algorithms including K-nearest neighbor (KNN), logistic regression, Naïve Bayes, decision tree, and random forest are considered for classification tasks.

Experimental results tested on eleven benchmark datasets from UCI ML repository show that the proposed HBCRO-BPSO algorithm improves the average percentage of reduction in features (APRF) and average percentage of improvement in accuracy (APIA) by 5.01% and 3.83%, respectively over the existing BPSO based feature selection method; 4.58% and 3.12% over BGA; and 4.15% and 2.27% over ABACO when used with a KNN classifier.

Expert Systems With Applications, published by Science Direct/Elsevier, is a refereed international journal whose focus is on exchanging information relating to expert and intelligent systems applied in industry, government, and universities worldwide. The journal’s Impact factor is 5.4.

Junqiao Qiu to Present Lecture November 6

Assistant Professor Junqiao Qiu, Computer Science, will present his lecture, “Speculative Parallelization for FSM-centric Computations,” this Friday, Nov. 6, 2020, at 3:00 p.m., via online meeting.

Lecture Abstract

As a fundamental computation model, finite-state machine (FSM) has been used in a wide range of data-intensive applications, including malware detection, bioinformatics, semi-structured data analytics, natural language processing and even machine learning. However, FSM execution is known to be “embarrassingly sequential” due to the state dependences among transitions. Current studies find that speculation is a promising solution to address the inherent dependencies in FSM computations and thus enables scalable FSM parallelization.
This talk will firstly introduce the fundamental scalability bottleneck in the current FSM parallelization, and then an aggressive speculation, a generalized speculation model that allows a speculated state to be validated against the result from another speculation, is proposed to address the scalability limitations. Finally, this talk will discuss the possibility to enlarge the applicability of the proposed approach and go beyond the FSM-based computations.

Juneiao Qiu is a member of the Institute of Computing and Cybersystems’ (ICC) Center for Scalable Architectures and Systems (SAS).

GSG to Host 3MT Competition Nov. 5

Three Minute Thesis (3MT) competition, hosted by the Graduate Student Government, will take place virtually tomorrow (Nov. 5). Come join us on an eventful day where research meets fun.

Participants are judged on their communication and presentation skills, while delivering content in just three minutes with one static PowerPoint slide.

You can watch the participants’ videos online on GSG’s 3MT website starting at 9 a.m. tomorrow.

With 28 participants and 4 different heats, 8 finalists will be chosen for the final rounds. The judging panel consists of 3 different faculty/staff from different majors. The names of the finalists will be declared by Noon.

The contestants qualifying for the next round will compete against each other from 6 to 8 p.m. Friday (Nov. 6) in the Rozsa Center for Performing Arts.

There will be a limit of 200 patrons who can be seated in the Rozsa center to adhere to social distancing guidelines. The seating will be on a first-come-first-served basis. The event will also be streamed live on GSG’s Facebook page.

Join us in-person or virtually to enjoy the event and choose a ‘People’s Choice’ award winner. The first and second place winners will receive cash prizes of $300 and $150 respectively. Additionally, a People’s Choice (PC) award will be given to a speaker selected by the event’s audience, with a cash prize of $100. A Facebook poll and in-person voting will happen to choose this speaker.

Leo Ureel Receives 2020 CTL Instructional Award

by Michael R. Meyer, Director, William G. Jackson CTL

Assistant Professor Leo Ureel, Computer Science, is among the Deans’ Teaching Showcase members who have been selected to receive 2020 CTL instructional Awards.

The awardees will make presentations next spring semester to share the work that led to their nomination.

When their presentation concludes, each will be formally recognized with a certificate and $750 in additional compensation .

Tuesday, Jan. 26, 2021 — Curriculum Development: Katrina Black, Senior Lecturer in Physics

Thursday Feb. 18, 2021 — Innovative or Out of Class Teaching: Libby Meyer, Lecturer in Visual and Performing Arts and Leo Ureel, Assistant Professor in Computer Science

Tuesday, March 30, 2021 — Large Class Teaching: Kette Thomas, Associate Professor of Diverse Literature in Humanities

These events will take place from 3:30-4:30 on the dates listed. Detailed titles, topics, and registration links for each presentation will be circulated in anticipation of each event.

Many thanks to the previous CTL instructional award recipients and the Provost’s office staff who were instrumental in the selection process.

Please consider suggesting instructors whom you’ve seen make exceptional contributions in Curriculum Development, Assessment, Innovative or Out-of-Class teaching or Large Class Teaching to the appropriate chair or dean so that they can be considered for the upcoming (2021) Deans’ Teaching Showcase during spring semester.

Briana Bettin, Asst. Prof., Part I: Neopets, HTML, Early Success

Briana Bettin, Ph.D., Computer Science: New Degree, New Position

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

Michigan Tech Ph.D. graduate Briana Bettin, Computer Science, is among six new faculty members the College of Computing welcomed this fall. Bettin is an assistant professor for the Department of Computer Science, and an affiliated assistant professor for the Cognitive and Learning Sciences department.

She is teaching courses including CS1121 Introduction to Programming in C/C++, and pursuing research and other projects with faculty and students.

In August 2020, Bettin successfully defended her dissertation, “The Stained Glass of Knowledge: On Understanding Novice Mental Models of Computing,” and was awarded her Ph.D. in Computer Science.

“I’m excited to begin my faculty journey at Michigan Tech and I look forward to helping our students continue to learn skills that will allow them to create the future,” Bettin says. “Michigan Tech has always been an amazing place for me—the opportunity to continue to give back to this place that has given me so much is something I’m very grateful for.”

Bettin says that she is excited about several interesting research projects already being planned, and she looks forward to helping the College advance its educational and research visibility and standing.

Bettin is a member researcher of the Institute of Computing and Cybersystems’ new Center for Computing Education, which promotes research and learning activities related to computing education.


Neopets, HTML, CSS. Here’s how Briana Bettin got everything started.

Video games caught Bettin’s interest at a young age and as she grew older, she became interested in online games like Neopets, which allows the user to develop a profile using HTML.

“So, I became excited to learn about HTML and CSS in order to express myself in those online spaces,” she says. “This also got me interested in graphic design, and both of these things combined got me hooked on the idea of creating expressive virtual spaces.”

Bettin earned her Bachelor of Science in Computer Science, with an Application Area in User Experience and Marketing, from Michigan Tech in spring 2014. Following, while working full time as a front-end web developer at a consulting firm, in summer 2016 she completed her master’s degree online. In fall 2016, Bettin began her Ph.D. studies.

The right fit.

“I wasn’t always sure if Computer Science was ‘right’ for someone like me,” Bettin reflects. “But my Ph.D. advisor, Dr. Linda Ott, would encourage me by reminding me of the vast opportunities in technology. And since I became aware of the interdisciplinary area of User Experience, my interest in programming has only grown!”

“Dr. Ott is absolutely amazing,” Bettin says of Professor Linda Ott, chair of the Department of Computer Science. “I am thankful for her, and I knew that having her as my adviser would be one of the best things I could hope for. Our working styles are very complementary, and she is a great motivator and supporter. Laura Brown and Nilufer Onder have also been great mentors, offering me wonderful advice and support whenever I talk to them.”

Bettin adds that Assistant Professor Leo Ureel, Computer Science, was “wonderful in helping me develop my research vision. We often bounce ideas, and he has supported my ideas and given me many opportunities to implement research ideas in the classroom. Our talks give me so much perspective and energy.”

Early teaching success, fellowships, and awards.

Bettin was a CS 1121 lab instructor from fall 2016 until fall 2019, when she became the instructor of record, teaching her first semesters as a lecturer in fall 2019 and spring 2020. That fall, she received outstanding “Average of 7 Dimensions” student evaluation scores, one of only 74 such accolades earned by faculty that semester.

But Bettin’s excellence was recognized long before, in fall 2017, when she received the Outstanding Graduate Teaching Assistant award from Michigan Tech’s Graduate Student Government.

Bettin was awarded the King-Chavez-Parks Future Faculty Fellowship from the State of Michigan in fall 2018. She received several doctoral consortium stipends from organizations including Institute for Clinical and Economic Review (ICER), the Frontiers in Education Doctoral Symposium (FIE), and the Computing Research Association’s Committee on the Status of Women in Computing Research (CRA-W).

A Google Scholar award made it possible for her to attend the 2017 Grace Hopper Celebration, which supports women in computing and organizations that view technology innovation as a strategic imperative. In fall 2019, Bettin was nominated for the prestigious MAGS Teaching Award.

Part II of this article will be published soon. In the second installment we’ll learn about Briana’s teaching and research, and the faculty and peer mentors who supported her as she completed her Ph.D.

Michigan Tech Ranked Among Best Colleges in the State and the Country

Michigan Tech is one of the top two universities in Michigan and among the best in the country, according to rankings by the website WalletHub, released Monday.

When compared to colleges and universities in Michigan, Tech was ranked No. 2. Among the 273 midwest colleges and universities listed, Michigan Tech was rated 30th, up one from a year ago.

WalletHub named 500 institutions on its “2021’s College and University Rankings.” Michigan Tech was ranked No. 138 on the overall list, up eight spots from last year’s ranking.

WalletHub looks to find the top-performing schools at the lowest possible costs to undergrads. The website compared more than a thousand U.S. institutions using 33 key measures. That data is grouped into seven categories such as Student Selectivity, Cost and Financing, and Career Outcomes.