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  • Month: February 2020

    Preview Day Is Sat., Mar. 28

    The College of Computing will conduct tours of its Computing labs and classrooms on Saturday, March 28, 2020, from 2:30 to 3:15 p.m. in Rekhi Hall. Tours will begin in Room 201. Refreshments will be served.

    The tours are offered in conjunction with Preview Day, also March 28, hosted by the Admissions Office. The event is an opportunity for admitted students and their families to experience campus and learn more about Michigan Tech as they consider their final college choice.

    Also on Preview Day, the College of Computing will participate in the Michigan Tech Showcase, which takes place from 11:30 a.m. to 1:30 p.m. in the Memorial Union Building Alumni Lounge. The showcase gives students and their families a chance to learn about all of the great opportunities and resources available to them at Michigan Tech.

    Learn more and register for Preview Day here.


    Intel Online Workshop Is Monday, March 2

    Intel has invited Michigan Tech students and faculty to join a 4-hour online workshop on Monday, March 2, 2020, at 11:00 a.m. EST. Intel will demonstrate a computer vision workflow using the OpenVINO toolkits, including support for deep learning algorithms that help accelerate Smart Video applications.

    The workshop provides an opportunity to learn how to optimize and improve performance, with and without external accelerators, and utilize tools to help us identify the best hardware configuration for our needs.

    When: Monday, March 2, March 2020 | 11 am (Houghton Time)

    If interested, the event is free but registration is necessary https://iotevents.intel.com/VirtualWorkshop2020March2/

    Agenda
    20 Minutes – Intel Smart Video/Computer vision Tools Overview
    20 Minutes – Model Optimizer
    20 Minutes – Inference Engine
    10 Minutes – Break
    15 Minutes – Intel Movidius„ Inference Accelerator
    15 Minutes – FPGA Inference Accelerator
    10 Minutes – Register for access to DevCloud
    90 Minutes – Labs on Intel DevCloud for the Edge

    Who will benefit: Computer vision developers with a basic understanding of machine learning and deep learning techniques who would like to learn optimization and acceleration techniques for industrial, medical, smart city, and smart retail applications.

    What’s to gain: Overview and application of Intel computer vision technologies.Understanding of deep learning development using a pre-trained model.7-day access to Intel Devcloud for the Edge, to continue training after the event.

    Questions?

    Contact Gowtham, PhD
    Director of Research Computing, IT
    Research Associate Professor, ECE
    Michigan Technological University
    P: (906) 487-4096
    F: (906) 487-2787
    g@mtu.edu
    https://it.mtu.edu
    https://hpc.mtu.edu


    Frank Vahid to Present Seminar

    This event has been canceled. We hope to reschedule sometime in the future.

    The College of Computing is pleased to present a lecture by Dr. Frank Vahid on Canceled. Vahid’s talk, “Teaching lower-division CS/CE: Our improvement experiences and research results for physical and online courses,” relates the story of University of California Riverside (UCR) successful efforts to improve introductory CS courses over the past decade.

    Vahid is a professor of computer science and engineering at UCR, and co-founder and chief learning officer of zyBooks.

    Vahid’s research focuses on improving college-level CS/CE/STEM education, and embedded systems. He is the author of textbooks from Wiley, Pearson, and zyBooks on topics including C++, C, Java, data structures, digital design, computer organization, embedded systems, computing technology, and introductory math and algebra.

    Many universities seek to improve introductory computer science courses, and to offer online courses. Dr. Vahid and his colleagues at UCR have had particular success introducing changes to their teaching methods.

    Before improvements, UCR intro courses fell into the common U-shaped grade distribution with a high fail/withdraw rate. After introducing changes–including the replacement of textbooks with web-native interactive, animated content and questions–the grade distribution now looks like a rising staircase (with DFWs on the left and As on the right). Good student performance in subsequent courses and highly-positive course evaluations from both majors and non-majors were received at a school with high enrollments of low-income, first-generation, and minority students. 

    Additional UCR course modifications include using the interactive content to encourage class preparation, reserving class time for extensive live coding of examples (with lots of mistakes made) and peer instruction; teaching the Coral language before C++, and switching from one-large-program each week to many small programs–enabled by auto-grading.

    UCR started teaching online versions of CS1 and CS2 courses in 2013, making refinements over the years, such as synchronous online scheduled lectures and labs and extensive use of online chat. The modifications have led to students in online sections doing as well as students in physical sections, with equally high course evaluations (and many stating a preference for online). The model has been reproduced at other schools. 

    In 2012, Vahid and his colleagues formed zyBooks, a company to provide scalable growth and continual professional improvement of UCR’s online content and platform. The zyBooks platform and content has grown to serve over 500,000 students at 600 universities in the U.S.

    Vahid has received several teaching awards, including UCR Engineering’s Outstanding Teacher award and UCR’s Innovative Teaching award, both in 2017. In recent years, he has spoken about CS/CE education at over 50 universities across the country.

    Vahid’s work has been supported by the National Science Foundation, (university and NIH Small Business Innovation Research (SBIR) grants), the Semiconductor Research Corporation (SRC), the U.S. Dept. of Education (university and SBIR grants), and companies including Google and Intel. He received his B.S. in computer engineering from the University of Illinois at Urbana/Champaign, and his M.S. and Ph.D. from the University of California, Irvine.

    Vahid has spoken at dozens of U.S. college of universities about UCR’s research, such as the following, in no particular order: Texas A&M, Univ. of Illinois Urbana/Champaign, Univ. of Florida, Univ. of Texas (Austin), UT San Antonio, Florida International Univ., Florida Atlantic Univ., Miami Univ., Miami Dade Community College, Drexel, Tufts, Univ. of Massachusetts Lowell, The College of New Jersey, Southern New Hampshire Univ., Univ. of Minnesota Twin Cities, Univ. of Minnesota Duluth, Michigan State Univ. Central Michigan Univ., Indiana State Univ., California State Univ. Northridge, California State Univ. Fresno, San Jose State Univ., Univ. of New Mexico, New Mexico State Univ., Univ of Alabama Birmingham, Univ. of Alabama Tuscaloosa, Lone Star College, UT Rio Grande Valley, Boston Univ., Rutgers, New Jersey Institute of Technology, Jacksonville State Univ., and more…   

    “Plus many many dozens of virtual presentations. It’s been an absolute honor and privilege to visit each department and to meet each and every faculty member, and students too,” Vahid said.


    Paid Research Assistant Position for Computationally-keen Grad Students

    Sangyoon Han, assistant professor, Biomedical Engineering, is seeking applications for a funded research assistant position from computationally-keen graduate students who can program. Dr. Han’s research is in Computational Mechanobiology.

    “We are seeking candidates with outstanding programming capability who are knowledgeable in particle tracking, inverse problem, vector field operation, machine learning, and deep learning. Masters and Ph.D. students in Data Science, Computer Science and Engineering, Mechanical Engineering, Electrical Engineering, and related disciplines are encouraged to apply. This is a funded position.” (From the info sheet.)

    Interested candidates are encouraged to send an e-mail to Dr. Han at sjhan@mtu.edu. Please include a brief statement of interest and CV. For more details, visit http://hanlab.biomed.mtu.edu.

    Interested candidates are encouraged to send an e-mail to Dr. Han at sjhan@mtu.edu. Please include a brief statement of interest and CV. For more details, visit http://hanlab.biomed.mtu.edu.

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    Tim Havens Quoted in Enterprisers Project Article

    Tim Havens, associate dean for research, College of Computing, was quoted in the story “Artificial intelligence (AI) vs. natural language processing (NLP): What are the differences?” published February 26, 2020, in the online publication, The Enterprisers Project.

    With AI, computers can learn to accomplish a task without ever being explicitly programmed to do so, says Timothy Havens, the William and Gloria Jackson Associate Professor of Computer Systems in the College of Computing at Michigan Technological University and director of the Institute of Computing and Cybersystems.

    For those who prefer analogies, Havens likens the way AI works to learning to ride a bike: “You don’t tell a child to move their left foot in a circle on the left pedal in the forward direction while moving your right foot in a circle… You give them a push and tell them to keep the bike upright and pointed forward: the overall objective. They fall a few times, honing their skills each time they fail. That’s AI in a nutshell.”

    The Enterprisers Project is a community and online publication built to discuss the evolving role of the CIO and how IT leaders drive business value in a digital world. It is a collaborative effort between Harvard Business Review and Red Hat that delivers daily analysis and advice on topics ranging from emerging technologies to IT talent. Articles in the publication are written by CIOs, for CIOs and other IT executives, who share lessons learned from innovating in true partnership with the business. 


    Capture the Flag Competition Incredibly Successful

    The Capture the Flag competition at this year’s Winter Wonderhack, held the weekend of February 21-23, was incredibly successful, with a total of 35 students competing on 15 different teams.

    The three top teams finished with 100% completion after 10+ hours of hard work, and the fourth place team was close behind with only two flags left. The entire competition was very competitive, with the top four teams constantly exchanging places throughout the weekend.

    Winning teams:

    First Place (Hak5 WiFi Pineapple and Manual) – Real Pineapple:
    Eli Brockert, Cybersecurity, sophomore
    Matthew Chau, Cybersecurity, freshman
    Nathan Wichers, EE, freshman

    Second Place  (Hak5 Packet Squirrel and Manual) – College Nerd Seeking Assets
    Justin Bilan, CNSA, junior
    Stuart Hoxie, CNSA, junior
    Ben Kangas , CNSA, junior
    Austin Clark, CNSA, junior
    Nicklaus Finetti, CNSA, senior

    Third Place (Hak5 USB Rubber Ducky and Manual)  – The Blue Tigers 21
    Austin Doorlag, CS, sophomore
    Harley Merkaj, CS, sophomore
    Anthony Viola, CpE, sophomore

    Fourth Place (Hak5 Sticker Packs and USB Rubber Ducky Manual)  – Fsociety
    Sam Breuer, CpE, freshman
    John Claassen, CS, sophomore
    Samantha Christie, CS, freshman

    All participants in the Capture the Flag Competition, February 21-23, 2020