Institute of Computing and Cybersystems (ICC) Blog

Category: Students

Register Now: 2021 Undergraduate Research Symposium Is Friday, March 26

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The 2021 Undergraduate Research Symposium (URS) will be held virtually on Friday, March 26, 2021. It requires that participants register for the event, provide an abstract, and create and narrate an electronic poster.

This event is open to all Michigan Tech undergraduate researchers. Students wishing to participate must register online by Friday, February 5.

The top three winners, based on judges’ reviews, will receive cash prizes for the best poster and narrated presentation combination. Winner will be announced Friday, March 26. 

For event details, student application and resource materials, and judging information, visit the URS webpage or contact Paige Hackney.

View and download photos from the 2019 Symposium on the Pavlis Honors College Flickr page. View the 2019 URS booklet that details all of the Symposium participant abstracts.

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1010 with … Tim Havens, Weds., Jan. 20, 5:30-5:40 pm

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You are invited to spend one-zero-one-zero—that is, ten—minutes with Dr. Timothy Havens on Wednesday, January 20, from 5:30 to 5:40 p.m. EST.

Havens is the Associate Dean for Research in the College of Computing, Director of the Institute of Computing and Cybersystems, and the William and Gloria Jackson Associate Professor of Computer Systems at Michigan Tech.

In this informal discussion, Havens will talk about undergraduate research opportunities at Michigan Tech, his research in AI and machine learning, and answer your questions about the College of Computing.

We look forward to spending 1010 minutes with you!

Did you miss the December 16, 1010 with Nathir Rawashdeh? Watch the video below.

The 1010 with … series continues on Wednesday January 27 … with more to come!

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Software Engineering Program Ranked Among the Best

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Michigan Tech’s BS in Software Engineering is in the top 10 nationwide according to College Rank. The website ranked the 35 Best Bachelor’s in Software Engineering.

Michigan Tech, which appears at number nine on the list, was one of only two Michigan colleges to make the ranking. The University of Michigan – Dearborn was ranked 15th.

“It’s great to see our program get this well-deserved recognition,” says Professor and Chair Linda Ott, Computer Science. “We consistently hear from industries that hire our graduates that our alumni are well-prepared and quickly become productive developers in their organizations.”

“Our students gain a solid theoretical framework, which provides the foundation for life-long career growth and success, as well as extensive practical, hands-on experience through class projects, internships and the Michigan Tech Enterprise program,” Ott explains.

College Rank uses a ranking methodology based on three aspects — Potential Salary After Graduation (40%), Individual Program Accreditation (30%) and Overall Affordability (30%).

“This program will help you to secure your position in a well-regarded profession,” says the College Rank website about Michigan Tech’s Software Engineering program. “You’ll be able to work with teams in your classes as well as labs and in the Senior Enterprise or Design programs. The Enterprise Program is a unique opportunity that brings together students of all majors to work on real projects with real clients in a business-like environment. You’ll receive guidance and coaching from faculty mentors throughout every step of your journey here.”

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2021 Innovation Week Is January 25 – 29

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by Husky Innovate

Innovation Week is a celebration of innovation both on and off-campus. We will host talks with alumni entrepreneurs, showcase campus innovation and interactive events. Learn about innovative research, new ventures, solutions to COVID-19 and education prototypes.

Connect with alumni, students and faculty. Drop-in for one event or several.

MTU Health Research Institute: (Monday, Jan. 25, noon – 1 p.m.)

Health research at Michigan Tech has been steadily growing for over 10 years. This growth has led to many practical uses for the technology developed. Three researchers, Megan Frost (KIP), Bruce Lee (BioMed) and Weihua Zhou (CC) will discuss their experiences with start-ups and applying their research to relevant health problems. Register here

Private Equity Investment for Innovation (Tuesday, Jan. 26, noon-1:30 p.m.)

Entrepreneurs exploring financing options for their innovation, future private equity investors, and current equity investors will find this panel discussion with Michigan Tech private equity experts invaluable. Topics include: Private investors goals and strategies The types of opportunities that investors look for Business stages and when investing is appropriate Terms involved Exit strategies for entrepreneurs Current investment trends in private investing Panelists include: John Rockwell, Karl LaPeer, Tom Nye, and Jeff Helminski. Register Here.

Advanced Power Systems Lab (Wednesday, Jan. 27, noon-1 p.m.)

Husky Innovate talk with Jeremy Worm of Michigan Tech’s Advanced Power Systems lab and his team who will share the labs’ innovative approaches to research, education, and collaboration with industry. Michigan Tech’s Advanced Power Systems Research Center (APS LABS) is focused on clean power generation and nearly all aspects of mobility with an emphasis on ground vehicle systems. APS LABS is a full-service organization conducting fundamental research, applied research & advanced engineering, product development, and validation testing. APS LABS supports commercial partners ranging from start-ups to Fortune 100 companies and serves in a lead, or sub-role on many government contracts with commercial partners. Register here

IDEAhub Innovation Hour (Wednesday, Jan. 27, 3-4 p.m.)

IDEA hub leaders will share their innovative education pilot projects and approach to address the challenges of Education in the 21st Century. Register here

Innovation and Collaboration at the Library Activity (Thursday, Jan. 28, noon-1 p.m.)

Libraries are inherently interdisciplinary spaces that can serve as a jumping-off point for active collaboration and innovation. Join librarians Jenn Sams and Erin Matas for a speed collaboration activity designed to let you meet new people, see a problem through a different lens, and inspire innovation. Learn about ways the library supports and participates in innovative activities via a Patent & Trademark Resource Center, the 3D printers, and an innovative response to Covid-19. Register Here. 

Bob Mark Business Model Pitch Competition (Thursday, Jan. 28, 5:30-7:30 p.m.)

Pitch your idea and potentially win some cash. This year, we’ll accept two-minute idea pitches (evaluated on uniqueness and potential impact) and four-minute business model pitches (evaluated on scalability and actionable business models.) Register to compete by January 25, or join us in the audience to watch the event. Register Here.

Journey as an Entrepreneur with Hajj Flemings (Friday, Jan. 29, noon-1 p.m.)

Join us for a talk with entrepreneur and author Hajj E. Flemings, Michigan Tech Mechanical Engineering (‘96) alumus. He will share his journey as an innovator and entrepreneur. Hajj has long embraced the entrepreneurial mindset and chose Michigan Tech because he enjoyed solving problems. Flemings is founder of Rebrand Cities, a brand strategy consulting company that serves clients such as Cadillac, Pfitzer, Walt Disney and the Detroit Lions, to name a few.

Flemings authored “The Brand YU Life: Re-thinking who you are through personal brand management”. In 2011 he was featured on CNN’s documentary series, “Black in America: The New Promised Land – Silicon Valley.”

During the filming of the series, he came to a deeper understanding of the meaning of “digital divide” for communities of color and dedicated himself to creating solutions. His insight led him to become founder and CEO of Brand Camp University, an educational platform that creates technology accessibility and supports job readiness for clients in underserved communities. In parallel, he led a new global civic design initiative within Rebrand City which focuses on eradicating the digital divide by getting 10,000 small businesses online. Register here.Chemistry Olympiad 2021

by Chemistry & ACS UP Local Section

UP High School Science Teachers and Parents/Guardians: We would like to invite your students and children to compete at the 2021 Chemistry Olympiad. This is all ONLINE this year.

Chemistry Olympiad 2021 will be an online chemistry competition open to all high school students from any U.P school or home school.

Participation is FREE! Sign up on the Google form by Monday, Jan. 25.

Date: March 27 (Saturday) 3 – 4:45 p.m. (EST)

All Participants:

  • Receive participation gift
  • Participation certificates upon request
  • Put into drawing for prizes

Top scorers:

  • Receive medal and prize
  • Opportunity to participate in US National Chemistry Olympiad (also online)

More information and event updates can be found here. The UP Chemistry Olympiad, is hosted by the American Chemical Society and Michigan Technological University. Please contact the coordinator, Momoko Tajiri with any questions!

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Computing Majors on Team that Takes 3rd in Lockheed CTF Competition

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Two College of Computing RedTeam students are part of a five-member team that finished 3rd in last weekend’s invitation-only Lockheed Martin Advanced Technologies Laboratories (ATL) Capture the Flag cybersecurity competition.

The multi-day virtual event involved 200 students on 40 teams. It opened for answer submission Friday, January 8, at 8:00 p.m., and closed Sunday, January 10, at 8 p.m.

The 3rd Place team, GoBlue!, trailed the 2nd Place team by only 14 points. RedTeam members are Michigan Tech undergraduates Dakoda Patterson, Computer Science, and Trevor Hornsby, Cybersecurity, and three University of Michigan students from the RedTeam’s partnership with that institution.

Michigan Tech RedTeam faculty advisors are Professor Yu Cai, Applied Computing, and Assistant Professor Bo Chen, Computer Science.

“We were lucky to be one of the 40 teams invited,” said Cai. “This was no small task, as the CTF included a large number of points in Reversing and “pwning” challenges, which proved to be fairly difficult. Other challenges were Cryptography, Stegonography, Web Exploitation, and miscellaneous challenges.”

CTF competitions place hidden “flags” in various computer systems, programs, images, messages, network traffic and other computing environments. Each individual or team is tasked with finding these flags. Participants win prizes while learning how to defend against cybersecurity attacks in a competitive and safe arena.

Top Three Teams

Placement Team Name Institution Total Points
1st Place nullbytes George Mason University 3697
2nd Place ChrisSucks George Mason University 3330
3rd Place GoBlue! Michigan Tech and University of Michigan 3316
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VPR Research Series: Funding Graduate Students

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Meet the VPR Sponsored Operations Team and VPR Staff

by Office of the Vice President of Research

Join VPR team members and other members of the Michigan Tech research community from noon to 1 p.m. tomorrow (Jan. 12) for presentations and discussion to help you and your team as you pursue funding for your research and other externally supported programs.

This month’s discussion will be led by Will Cantrell, associate provost and dean of the Graduate School. Cantrell will describe how researchers can work with graduate students to provide the best learning experience while achieving research goals, followed by a question and answer session.

Session attendees will also have a chance to meet the Sponsored Programs Operations Team and VPR Staff. Attendees will have the chance to ask presentation and general VPR-related questions at the end.

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SURF Applications Open

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Applications for 2021 Summer Undergraduate Research Fellowships (SURF) are now open. Fellowship recipients will spend the summer working on an individual research project under the guidance of a Michigan Tech faculty mentor.

SURFs are open to all Tech undergraduates who have at least one semester remaining after the summer term. Awards are up to $4,000. Applications are due by 4 p.m. Feb. 12.

For more information and access to the application materials and instructions, visit the SURF webpage or contact Rob Handler.

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Celebrate Husky Innovation January 25-29

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Husky Innovate is organizing Innovation Week, a series of innovation themed events the week of January 25 to 29, 2020. Our goal is to provide opportunities for students, faculty and alumni to meet virtually to engage around the topic of innovation.

We will host panel discussions, alumni office hours and the Bob Mark Business Model Pitch Competition from 5:30 to 7:30 p.m. on Thursday, January 28.

We will celebrate entrepreneurship, innovative research and projects on campus and within our extended MTU community.

If you are interested in hosting an innovation tour, participating in a panel discussion, leading a workshop or something else, sign-up here.

Faculty and staff are invited to celebrate innovation week with an innovation themed learning module or student activity.

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Siva Kakula to Present PhD Defense Dec. 21, 3 pm

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Graduate student Siva Krishna Kakula, Computer Science, will present his PhD defense, “Explainable Feature- and Decision-Level Fusion,” on Monday, December 21, 2020, from 3:00 to 5:00 p.m. EST Kakula is advised by Dr. Timothy Havens, College of Computing.

Siva Kakula earned his master of science in computer engineering at Michigan Tech in 2014, and completed a bachelor of technology in civil engineering at IIT Guwahati in 2011. His research interests include machine learning, pattern recognition, and information fusion.

Download the informational flier below.

Lecture Abstract

Information fusion is the process of aggregating knowledge from multiple data sources to produce more consistent, accurate, and useful information than any one individual source can provide. In general, there are three primary sources of data/information: humans, algorithms, and sensors. Typically, objective data—e.g., measurements—arise from sensors. Using these data sources, applications such as computer vision and remote sensing have long been applying fusion at different “levels” (signal, feature, decision, etc.). Furthermore, the daily advancement in engineering technologies like smart cars, which operate in complex and dynamic environments using multiple sensors, are raising both the demand for and complexity of fusion. There is a great need to discover new theories to combine and analyze heterogeneous data arising from one or more sources.

The work collected in this dissertation addresses the problem of feature- and decision-level fusion. Specifically, this work focuses on Fuzzy Choquet Integral (ChI)-based data fusion methods. Most mathematical approaches for data fusion have focused on combining inputs relative to the assumption of independence between them. However, often there are rich interactions (e.g., correlations) between inputs that should be exploited. The ChI is a powerful aggregation tool that is capable modeling these interactions. Consider the fusion of N sources, where there are 2N unique subsets (interactions); the ChI is capable of learning the worth of each of these possible source subsets. However, the complexity of fuzzy integral-based methods grows quickly, as the fusion of N sources requires training 2N-2 parameters; hence, we require a large amount of training data to avoid the problem of over-fitting. This work addresses the over-fitting problem of ChI-based data fusion with novel regularization strategies. These regularization strategies alleviate the issue of over-fitting while training with limited data and also enable the user to consciously push the learned methods to take a predefined, or perhaps known, structure. Also, the existing methods for training the ChI for decision- and feature-level data fusion involve quadratic programming (QP)-based learning approaches that are exorbitant with their space complexity. This has limited the practical application of ChI-based data fusion methods to six or fewer input sources. This work introduces an online training algorithm for learning ChI. The online method is an iterative gradient descent approach that processes one observation at a time, enabling the applicability of ChI-based data fusion on higher dimensional data sets.

In many real-world data fusion applications, it is imperative to have an explanation or interpretation. This may include providing information on what was learned, what is the worth of individual sources, why a decision was reached, what evidence process(es) were used, and what confidence does the system have on its decision. However, most existing machine learning solutions for data fusion are “black boxes,” e.g., deep learning. In this work, we designed methods and metrics that help with answering these questions of interpretation, and we also developed visualization methods that help users better understand the machine learning solution and its behavior for different instances of data.

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College of Computing Convocation is December 18, 3:30 pm

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Congratulations, Class of 2020!

We are looking forward to celebrating the accomplishments of our graduates at a Class of 2020 virtual Convocation program on Friday, December 18, 2020, at 3:30 p.m. EST.

The celebration will include special well-wishes from CC faculty and staff, and many will be sporting their graduation regalia. It is our privilege to welcome Ms. Dianne Marsh, 86, ’92, as our Convocation speaker. Dianne is Director of Device and Content Security for Netflix, and a member of the new College of Computing External Advisory Board.

We may be spread across the country and world this December, but we can still celebrate with some style. We look forward to sharing our best wishes with the Class of 2020 and wishing them continued success as they embark on the next phase of their lives!

This December, 40 students are expected to graduate with College of Computing degrees, joining 92 additional Class of 2020 PhD, MS, and BS alumni.

Dianne Marsh ’86, ’92 is Director of Device and Content Security for Netflix. Her team is responsible for securing the Netflix streaming client ecosystem and advancing the platform security of Netflix-enabled devices. Dianne has a BS (’86) and MS (’92) in Computer Science from Michigan Tech.

Visit the Class of 2020 Webpage

Congratulations Graduates. We’re proud of you.

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