Also In This Section
  • Categories

  • Recent News

  • Category: ICC

    Shane Mueller to Present Lecture Jan. 22, 3 pm

    The Department of Computer Science will present a lecture, by Dr. Shane Mueller on Friday, January 22, 2021, at 3:00 p.m.

    Mueller is an associate professor in the Applied Cognitive Science and Human Factors program of the Cognitive and Learning Science department. His lecture is titled, “Explainable AI, and principles for building human-centered XAI systems.”

    Mueller’s research focuses on human memory and the representational, perceptual, strategic, and decisional factors that support it. He employs applied and basic research methodologies, typically with a goal of implementing formal quantitative mathematical or computational models of cognition and behavior.

    He is also the primary developer of the Psychology Experiment Building Language (PEBL), a software platform for creating psychology experiments.

    Mueller has undergraduate degrees in mathematics and psychology from Drew University, and a Ph.D. in cognitive psychology from the University of Michigan. He was a senior scientist at Klein Associates Division of Applied Research Associates from 2006 to 2011. His research has been supported by NIH, DARPA, IARPA, the Air Force Research Laboratory, the Army Research Institute, the Defense Threat Reduction Agency, and others.

    Lecture Title:

    Explainable AI, and principles for building human-centered XAI systems

    Lecture Abstract

    In recent years, Explainable Artificial Intelligence (XAI) has re-emerged in response to the development of modern AI and ML systems. These systems are complex and sometimes biased, but they nevertheless make decisions that impact our lives. XAI systems are frequently algorithm-focused; starting and ending with an algorithm that implements a basic untested idea about explainability. These systems are often not tested to determine whether the algorithm helps users accomplish any goals, and so their explainability remains unproven. I will discuss some recent advances and approaches to developing XAI, and describe how many of these systems are likely to incorporate many of the lessons from past successes and failures to build explainable systems. I will then review some of the basic concepts that have been used for user-centered XAI systems over the past 40 years of research. Based on this, I will describe a set of empirically-grounded, human user-centered design principles that may guide developers to create successful explainable systems.


    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 


    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


    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.


    Robert West of DePauw University to Present Lecture Feb. 8

    Dr. Robert West, the Elizabeth P. Allen Distinguished University Professor, Department of Psychology and Neuroscience, DePauw University, will present a lecture on Monday, February 8, 2021, at 2:00 p.m., via online meeting.

    The title of Dr. West’s lecture is, “Why Josh Stole the Password: A Decision Neuorscience Approach to Insider Threat in Information Security.”

    The lecture is hosted by the Human-Centered Computing (HCC) research group of the Institute of Computing and Cybersystems (ICC) and the Department of Cognitive and Learning Sciences (CLS).

    Download

    Robert West Bio

    Dr. Robert West received his Ph.D from the University of South Carolina in Cognitive Development, and completed postdoctoral work at the Rotman Research Institute in Toronto, studying cognitive aging and cognitive neuroscience.

    He has been on faculty at the University of Notre Dame, Iowa State University, and is currently the Elizabeth P. Allen Distinguished University Professor in the Department of Psychology and Neuroscience at DePauw University. He is a fellow of the Association for Psychological Science, the Psychonomic Society, and the Midwestern Psychological Association; and a founding member of the NeuroIS Society.

    West’s research interests and publications span the areas of decision neuroscience, cognitive neuroscience of aging, and cognitive control. He has served as the associate editor for the Journals of Gerontology: Psychological Science, and is currently associate editor for Psychology and Aging.

    Lecture Abstract

    Cybercrime has a significant impact on nations, corporations, and individuals. Violations of information security can reduce consumer confidence and valuation at the corporate level, and jeopardize social and financial well-being at the personal level. In this talk, I will explore the findings of some of my recent research in order to demonstrate the utility of a decision neuroscience approach to providing insight into the neural correlates of ethical decision making in the context of information security.


    Sun Named to Lou and Herbert Wacker Professorship in Mechanical Engineering

    by Office of the Provost & Senior VP for Academic Affairs

    Ye “Sarah” Sun (ME-EM) has accepted the Lou and Herbert Wacker Professorship in Mechanical Engineering, which was created to retain and attract high-quality faculty who are at the top of their profession, can excite students to think beyond the classroom material, and knows how to integrate their research into the classroom.

    Sun was chosen for this position as she is recognized as a rising star and outstanding researcher in the area of wearable sensors, systems, and robotics and a respected member of the smart health community.

    In recognition of her innovative research in wearable sensors, Sun’s NSF CAREER award was selected for presentation to congressional offices in April 2019.

    Sun is the director of the Institute of Computing and Cybersystems’s Center for Cyber-Physical Systems.

    Among her research honors is the prestigious National Science Foundation (NSF) CAREER Research Award on “System-on-Cloth: A Cloud Manufacturing Framework for Embroidered Wearable Electronics.”

    Sun will use this recognition and support to enhance her research in wearable and soft robotics. Her goal is to develop flexible textile robotics by leveraging the physical understanding and modeling of textile materials and dynamics and the recent advances of morphological computing.

    Textile robotics are not only able to enhance human capabilities via wearable design but also achieve autonomous locomotion. The controllable structures of textiles directly provide a unified platform that is capable of integrating sensing and actuating into textile robotics itself. The positioning support will be used to recruit graduate students and to set up the manufacturing platform.


    1010 with … Nathir Rawashdeh, Weds., Dec. 16

    Nathir Rawashdeh (right) and Dan Fuhrmann, Interim Dean, Dept. of Applied Computing

    You are invited to spend one-zero-one-zero—that is, ten—minutes with Dr. Nathir Rawashdeh on Wednesday, December 16, from 5:30 to 5:40 p.m.

    Rawashdeh is assistant professor of applied computing in the College of Computing at Michigan Tech.

    He will present his current research work, including the using artificial intelligence for autonomous driving on snow covered roads, and a mobile robot using ultraviolet light to disinfect indoor spaces. Following, Rawashdeh will field listener questions.

    We look forward to spending 1010 minutes with you!

    Did you miss last week’s 1010 with Chuck Wallace? Watch the video below.

    The 1010 with … series will continue on Wednesday afternoons in the new year on January 6, 13, 20, and 27 … with more to come!


    Sarah Sun to Present ME-EM Graduate Seminar Dec. 3, 4 pm

    by Mechanical Engineering – Engineering Mechanics

    The next virtual Graduate Seminar Speaker will be held at 4 p.m. tomorrow (Dec. 3) via Zoom. Sarah Sun (ME-EM) will present “E-Logo: Embroidered Wearable Electronics.”

    Sun is an associate professor in the Department of Mechanical Engineering-Engineering Mechanics and an affiliated associate professor in the Department of Biomedical Engineering at Michigan Tech since 2014.


    Sidike Paheding Lecture is Dec. 11, 3 pm

    Assistant Professor Sidike Paheding, Applied Computing, will present his lecture, “Deep Neural Networks for UAV and Satellite Remote Sensing Image Analysis,” on Dec. 11, 2020, at 3:00 p.m. via online meeting.

    Paheding’s research focuses on the areas of computer vision, machine learning, deep learning, image/video processing, and remote sensing.

    The lecture is presented by the Department of Computer Science.

    Lecture Abstract

    Remote sensing data can provide non-destructive and instantaneous estimates of the earth’s surface over a large area, and has been accepted as a valuable tool for agriculture, weather, forestry, defense, biodiversity, etc. In recent years, deep neural networks (DNN), as a subset of machine learning. for remote sensing has gained significant interest due to advances in algorithm development, computing power, and sensor systems.

    This talk will start with remote sensing image enhancement framework, and then primarily focuses on DNN architectures for crop yield prediction and heterogeneous agricultural landscape mapping using UAV and satellite imagery.

    Speaker Biography

    Paheding is an associate editor of the Springer journal Signal, Image, and Video Processing, ASPRS Journal Photogrammetric Engineering & Remote Sensing, and serves as a guest editor/reviewer for a number of reputed journals. He has advised students at undergraduate, M.S., and Ph.D. levels, and authored/coauthored close to 100 research articles.


    Bo Chen, CS, Wins REF Grant for Decentralized Cloud Storage Project

    Bo Chen, Computer Science, has been awarded a Fall 2020 REF Research Seed Grant (REF-RS) for his project, “Towards Secure and Reliable Decentralized Cloud Storage.” Funding for the 12-month, $25,800 award begins on January 1, 2021.

    Bo Chen, Computer Science

    “This grant will provide significant help to advance my current research,” says Chen. “This is really exciting news for me.”

    Bo Chen is a researcher with the ICC’s Cybersecurity and Computing Education research groups.

    As a recipient of the REF seed grant, which is awarded by the Michigan Tech Office of the Vice President for Research, Chen will participate in review and feedback for the next round of REF proposals. View the full list of Fall 2020 REF award recipients here.

    Abstract

    A decentralized cloud storage system eliminates the need of dedicated computing infrastructures by allowing peers which have spare storage space to join the network and to provide storage service. Compared to the conventional centralized cloud storage system, it can bring significant benefits including cheaper storage cost, better fault tolerance, greater scalability, as well as more efficient data storing and retrieval, making it well fit the emerging Internet of things (IoT) applications.

    While bringing immense benefits, the decentralized cloud storage system also raises significant security concerns, since the storage peers are much less reputable than the traditional data centers and may more likely misbehave.

    This project thus aims to build a secure and reliable decentralized cloud storage system which can serve as the cloud infrastructure for future IoT applications. The project will actively investigate two fundamental security issues faced by the decentralized cloud storage system: 1) How can we prevent the malicious storage peers from stealing the data? 2) How can we ensure that once the data are stored into the system, they are always retrievable even if the storage peers misbehave?

    To address the aforementioned issues in an untrusted p2p environment, the PI will integrate efficient integrity checking with the blockchain, as well as the broadly equipped secure hardware like Intel SGX. The PI will also broaden the educational impact of the proposed project by actively involving both graduate and undergraduate students from the MTU cybersecurity programs.