Also In This Section
  • Topics

  • Month: January 2021

    ICC Distinguished Lecture: James Bezdek, Jan 29, 3 pm

    The Institute of Computing and Cybersystems will present a Distinguished Lecture by James C. Bezdek on Friday, January 29, 2021, at 3:00 p.m. via online meeting. Dr. Bezdek will present his lecture, “Streaming Data Analysis: Old Clothes Don’t Fit.”

    Bezdek is a visiting research fellow at The University of Melbourne, Australia. His interests include clustering in big data, woodworking, optimization, data visualization, cigars, fishing, anomaly detection, blues music, poker. He retired in 2007, and will be coming to a university near you soon.

    Bezdek received a Ph.D. in Applied Mathematics from Cornell University in 1973. He is past president of NAFIPS (North American Fuzzy Information Processing Society), IFSA (International Fuzzy Systems Association), and the IEEE CIS (Computational Intelligence Society). He is founding editor the international journals Approximate Reasoning and IEEE Transactions on Fuzzy Systems. He is life fellow of the IEEE and IFSA; and a recipient of the IEEE 3rd Millennium award, the IEEE CIS Fuzzy Systems Pioneer award, and the IEEE Rosenblatt and Kampe de Feriet award.

    Lecture Title

    Streaming Data Analysis: Old Clothes Don’t Fit

    Lecture Abstract

    This talk concerns models and algorithms that are generally described as “streaming clustering.” Some of the semantics and methods that are used in this field are co-opted from static clustering. But often, they don’t serve their purposes for streaming data very well. A review of “state of the art” methods such as sequential k-means, Birch, CluStream, DenStream, etc. shows that methods borrowed from classical batch techniques don’t transfer well to the streaming data case. Most of these models fail to acknowledge that the data are seen but once in real streaming analysis (e.g., intrusion detection, quality control). When the data are not saved, batch clustering ideas such as pre-clustering assessment, partitioning, and cluster validity are not relevant. I do not argue that current approaches to streaming clustering are wrong: but they are described wrong. This class of algorithms comprises transitional methods for an intermediate case that lies between static and (near real time) dynamic analysis which will eventually lead to a new and useful paradigm for this type of computation. I call these methods start and stop streaming data analysis.

    Five models are briefly reviewed and illustrated (albeit poorly, with small labeled data sets!). Then I will discuss four new incremental Stream Monitoring Functions and a new approach for visual assessment of streaming data. The conclusions? Useful analysis of real streaming data is in its infancy. We need to carefully define the objectives of streaming analysis, and then choose terminology and methods that suit this evolving paradigm.

    Bezdek says his views on this topic are a bit controversial. You can read them here:

    Bezdek, J. C. and Keller, J. M. (2021). Streaming data analysis: Clustering or Classification?, IEEE Trans. SMC, DOI: 10.1109/TSMC.2020.3035957 


    Tech Forward Campus Update Series Is Jan. 20, Jan, 27, Feb. 3

    by Office of the President

    The Tech Forward leaders will provide the campus with an update on the progress of each initiative and related milestones. Each of the hour-long sessions will feature three Tech Forward initiatives, occurring weekly on Wednesdays for a period of three weeks. Below are the dates along with a link to the webinar for each of the presentations.  

    Wednesday, Jan. 20 at noon (EST) 

    • Policy, Ethics, Culture 
    • Data Revolution and Sensing 
    • Health and Quality of Life 

    Wednesday, Jan. 27 at noon (EST) 

    • Autonomous and Intelligent Systems
    • Advanced Materials and Manufacturing
    • Natural Resources, Water and Energy

    Feb. 3, 2021 at noon (EST)  

    • 21st Century Education
    • Sustainability and Resilience
    • Diversity and Inclusion

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

    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

    PlacementTeam NameInstitutionTotal Points
    1st PlacenullbytesGeorge Mason University3697
    2nd PlaceChrisSucksGeorge Mason University3330
    3rd PlaceGoBlue!Michigan Tech and University of Michigan 3316

    We Want Your Books and Major Scholarly Works

    by University Marketing and Communications

    If you would like to be highlighted in Michigan Tech’s next Research magazine, send University Marketing and Communications more info via this Google form about your book (or album, performance, or other longform scholarly work in mixed media).

    Include a link, a cover image, and a way for us to contact you with questions. All submissions will be reviewed by University Marketing and Communications. Published projects must be research focused, published in 2020, and authored by members of the Michigan Tech community. Incomplete submissions will not be included.


    VPR Research Series: Funding Graduate Students

    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.


    Lan Zhang, ECE, to Present Lecture Jan. 15, 3 pm

    Assistant Professor Lan “Emily” Zhang, Electrical and Computer Engineering, will present her lecture, “Augmenting Radio Environments for Better Wireless Ecosystems,” on Friday, January 15, 2021, at 3:00 p.m., via online meeting.

    The lecture is hosted by the Michigan Tech Department of Computer Science. Zhang is a member of the Cyber-Physical Systems (CPS) research group of the Institute of Computing and Cybersystems (ICC).

    Zhang’s research interest span the fields of cyber-physical systems, distributed machine learning, wireless communications, and cybersecurity. In her talk, she will discuss a series of studies leveraging smart-surfaces, e.g., meta-surfaces or reconfigurable intelligent surfaces (RISs), to augment radio environments for various purposes.

    Lecture Abstract

    In the last several decades, wireless technologies have become well-established to fight against propagation obstacles. Most conventional efforts are focused on optimizing end devices, such as transmitters and receivers, in order to adapt to the given transmission environment for better communications. However, the recent rapid convergence of the cyber and physical worlds (Cyber-Physical Systems or CPSs) presents unprecedented challenges to the wisdom of conventional design. Given ever-growing service demands, as well as the diverse wireless application scenarios, it is critical to adaptively augment the radio environments in a cost-effective way, while maintaining the aesthetic nature of living environments.

    In her talk, Zhang will discuss a series of studies leveraging smart-surfaces–e.g., meta-surfaces or reconfigurable intelligent surfaces (RISs)–to augment radio environments for various purposes. Specifically, she will focus on three promising areas for enhancing the throughput and reliability of wireless communications, mitigating the physical-layer security threats, and facilitating wireless sensing activities. Both model-based and learning-based methods will be used for theoretical and practical analysis.

    Biography

    Dr. Lan Zhang is an assistant professor in the Department of Electrical and Computer Engineering at Michigan Tech. She received a Ph.D. degree in computer engineering from the University of Florida in 2020, and M.S. and B.Eng. degrees in telecommunication engineering from the University of Electronic Science and Technology of China in 2016 and 2013, respectively.

    Zhang has served as a technical program committee member for several respected conferences, such as NeurIPS-SpicyFL 2020 and the 2020 IEEE IFOCOM poster/demo section. She has also served as reviewer for leading journals, such as IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Mobile Computing, and IEEE Transactions on Wireless Computing.

    Lan Zhang, ECE

    Master’s Defense: Taylor Morris, CS, Tues., Jan. 5

    Computer Science graduate student Taylor Morris will present a Master’s Defense on Tuesday, January 5, from 6:00 to 7:00 p.m.

    Presentation Title: “Using Text Mining and Machine Learning Classifiers to Analyze Stack Overflow.”

    Advisor: Associate Professor Laura Brown, Computer Science

    Link to the Michigan Tech Events Calendar entry here.


    SURF Applications Open

    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.


    Research Day is Thurs., Jan. 7

    by Research Development

    The eighth annual research day event will be held Thursday (Jan. 7). We welcome research faculty from all ranks, research staff, postdocs, and staff who support research to join, learn, and share. The theme for the day is: Research Efficiency; Knowing the right things to optimize your research strategy.

    All information and sessions happening on Research Day can be accessed through the Research Day site.

    Interested participants are encouraged to RSVP for sessions here.


    Panel Discussion Jan. 5: Mobility at Michigan Tech: “Where are we?”

    Mobility is an increasingly used word today in conjunction with the advent of automated vehicle technologies, but what else is covered under this term that is often defined as“the ability to move or be moved freely and easily“? Even more importantly, what is happening at Michigan Tech related to Mobility? Dr. Pasi Lautala (CEE) is working as a Faculty Fellow sponsored by the Vice President for Research Office toward building a collaborative environment for Mobility-related development and research and expanding Michigan Tech’s role as a leader in the field. 

    As a kickoff event for these efforts, Dr. Lautala will be hosting a virtual panel discussion on Tuesday, January 5th, from 3:00-4:30 p.m. (EST).  This virtual event will bring together leading Mobility experts from our Michigan Tech community to discuss the wide range of issues addressed under the umbrella of Mobility. The panelists will start the event by briefly introducing how they and their teams are involved in Mobility, followed by an hour-long open discussion on Mobility and related issues. We encourage all university and local community members interested in Mobility to tune in and participate in the discussion. 
    The panelists will include:

    • Bill Buller,  Senior Research Scientist, Michigan Tech Research Institute (MTRI) 
    • Timothy Havens, William and Gloria Jackson Associate Professor of Computer Systems
    • Don LaFreniere, Associate Professor of Geography and GIS
    • Jeff Naber,  Ron and Elaine Starr Professor in Energy Systems, Mechanical Engineering—Engineering Mechanics
    • Chelsea Schelly, Associate Professor of Sociology, Social Sciences
    • Roman Sidortsov,  Assistant Professor, Energy Policy, Social Sciences

    This panel discussion is the first in a series of events related to Mobility planned for the spring semester, and will largely focus on the current state of Mobility at Michigan Tech.  Following events will seek to bring in external experts to share their insights and begin to develop building blocks that will lay the foundation for specific Mobility-related collaborative research proposals.

    To participate in the event, use the Zoom link provided below. For more information, please contact Pasi Lautala at ptlautal@mtu.edu.