Month: August 2020

Bo Chen’s Research on COVID-19 Prevention Method to be Published in IEEE IoT Magazine

A paper authored by Michigan Tech Assistant Professor Bo Chen, Computer Science, and Data Science master’s student Shashank Reddy Danda, has been accepted for publication in the IEEE Internet of Things Magazine special issue on Smart IoT Solutions for Combating COVID-19 Pandemic. The special issue will be published in September 2020.

The title of the paper is,

The paper, “Towards Mitigating Spreading of Coronavirus via Mobile Devices,” focuses on Chen’s research of COVID-19 prevention through the leveraging of computing technology. The project is currently supported by a Michigan Tech College of Computing seed grant, and external funding for further development is being pursued.

Download a preprint of the paper here.

Abstract:
Recently, the impact of coronavirus has been witnessed by almost every country around the world. To mitigate spreading of coronavirus, a fundamental strategy would be reducing the chance of healthy people from being exposed to it. Having observed the fact that most viruses come from coughing/sneezing/runny nose of infected people, in this work we propose to detect such symptom events via mobile devices (e.g., smartphones, smart watches, and other IoT devices) possessed by most people in modern world and, to instantly broadcast locations where the symptoms have been observed to other people. This would be able to significantly reduce risk that healthy people get exposed to the viruses. The mobile devices today are usually equipped with various sensors including microphone, accelerometer, and GPS, as well as network connection (4G, LTE, Wi-Fi), which makes our proposal feasible. Further experimental evaluation shows that coronavirus-like symptoms (coughing/sneezing/runny nose) can be detected with an accuracy around 90%; in addition, the dry cough (more likely happening to COVID-19 patients) and wet cough can also be differentiated with a high accuracy.

Bo Chen is an assistant professor in the Department of Computer Science. His areas of expertise include mobile device security, cloud computing security, named data networking security, big data security, and blockchain.

Shashank Reddy Danda is an MS student in Data Science. He is currently working as a research assistant in MTU Security and Privacy (SnP) Lab under the supervision of Dr. Bo Chen.

IEEE Internet of Things Magazine (IEEE IoTM) is a publication of the IEEE Internet of Things Initiative, a Multi-Society Technical Group.


SOSSEC / US Army ERDC Award to Study Adaptive AI

Dr. Timothy Havens, College of Computing, and Dr. Anthony Pinar, Electrical and Computer Engineering, have been awarded a two-year, $428,707 project by the SOSSEC Inc. / U.S. Army ERDC to investigate “Modeling and Algorithm Development for Adaptive Adversarial AI for Complex Autonomy.”

The project will study how autonomous systems operate in complex and unstructured environments, focusing on sensing, processing, and decision-making capabilities.

Havens and Pinar are members of the Institute of Computing and Cybersystem’s Center for Data Sciences.

Tim Havens is associate dean for research, College of Computing, the William and Gloria Jackson Associate Professor of Computer Systems, and director of the Institute of Computing and Cybersystems.

Tony Pinar is a lecturer and senior design coordinator in the Electrical and Computer Engineering department.

The SOSSEC Consortium was specifically formed to address the needs of the Department of Defense (DoD). It was founded on a simple concept: that collaboration, innovation, and cooperation among a broad spectrum of industry, academia and non-profit entities vastly improves the products and services delivered to its clients, according to the organization’s website.

The mission of the US Army Engineer Research and Development Center (ERDC), an integral component of the Office of the Assistant Secretary of Defense for Research and Engineering, is to help solve the nation’s most challenging problems in civil and military engineering, geospatial sciences, water resources, and environmental sciences for the benefit of the Army, the Department of Defense, civilian agencies, and the public good, according to the organizations’s website.

The Institute of Computing and Cyberersystems (ICC) promotes collaborative, cross-disciplinary research and learning experiences through six research centers in the areas of computing education, cyber-physical systems, cybersecurity, data sciences, human-centered computing, and scalable architectures and systems, for the benefit of Michigan Technological University and society at large.

The ICC’s 55 members represent more than 20 academic disciplines at Michigan Tech. Member scientists are collaborating to conduct impactful research, make valuable contributions in the field of computing, and solve problems of critical national importance.

ICC’s Center for Data Sciences (DataS) focuses on the research of data sciences education, algorithms, mathematics, and applications. DataS fosters interdisciplinary collaborations by bringing together diverse faculty and students from varied disciplines to discover new knowledge and exciting research opportunities in the field of data sciences.


Havens Quoted in Enterprisers Project Article

Tim Havens, ICC Director and associate dean for research, College of Computing, was quoted in the article, “Artificial Intelligence (AI) for beginners,” published August 20, 2020, by The Enterprisers Project.

The article sets out to demystify artificial intelligence, breaking down how AI works, common types of AI, how it improves big data insights, and strategy essentials.

Rr4asd the article here.

Read the article here.

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. The site delivers daily analysis and advice on topics ranging from emerging technologies to IT talent. Articles written by CIOs, for CIOs and other IT executives, share lessons learned from innovating in true partnership with the business.


Princeton Review Ranks MTU Among Nation’s Best

Michigan Tech has once again made The Princeton Review’s list of best colleges. The organization released its “Best 386 Colleges” earlier this month. Michigan Tech has made the list since it began in 1994.

Michigan Tech is one of only three public universities in Michigan to make the list.

The Princeton Review does not rank the schools numerically. The college admissions services organization, which is not affiliated with Princeton University, chose the top 386 from more than 2,000 colleges and universities for its 29th annual list.

The survey is based on data from surveys of more than 140,000 students at the 386 schools listed. Students were asked to rate their schools on dozens of topics important to applicants and their parents.

Among the students’ comments were “Michigan Tech has very high standards when it comes to education,” and boasts a “really good reputation as an engineering school.”

One student commented that Michigan Tech’s size and location “makes the sense of community remarkable.”


$243K DURIP Award will Multiply Michigan Tech Research Capabilities

Dr. Timothy Havens (ICC), Dr. Andrew Barnard (GLRC), Dr. Guy Meadows (GLRC), and Dr. Gowtham (IT/ECE) have been awarded an Office of Naval Research DURIP grant titled, “Acoustic Sensing System and High-Throughput Computing Environment and Threat Monitoring in Naval Environments Using Machine Learning.”

The $243,169 award will fund procurement of new high throughput computing and underwater acoustic sensing systems for use by researchers at Michigan Tech.

The Defense University Research Instrumentation Program (DURIP) supports universities through awards meant to build the infrastructures necessary for relevant, high-quality Navy research.

We believe that these resources will considerably multiply our capability and productivity in assisting the U.S. Navy, and DoD at large, to move forward on numerous fronts. We have excellent resources, but lack some infrastructure capabilities to make a leap in theory and applications.

Timothy Havens, Director, Institute of Computing and Cybersystems

Havens says that the award supports two active U.S. Navy projects in particular, “ONR Graduate Traineeship Award: Multi-Modal, Near-Shore, Ice-Covered Arctic Acoustic Propagation Measurements and Analysis (ONR #N00014-18-1-2592)” and “Localization, Tracking, and Classification of On-Ice and Underwater Noise Sources Using Machine Learning (US NSWC #N00174-19-1-0004).”

“With this new equipment we can begin to conduct more detailed, realistic, and repeatable sensor/target experiments, and facilitate expansion of current research into related areas of interest to the DoD, such as deep learning with digital phased arrays and persistent, distributed sensing with sensor arrays,” Havens notes.

“The equipment will significantly enhance Michigan Tech capabilities for six other Department of Defense (DoD)-funded projects as well, including NGA, SPAWAR, and DARPA awards,” he adds.

Finally, through graduate student participation in the research, and collaboration with the undergraduate SENSE Enterprise at Michigan Tech (Strategic Education through Naval Systems Experiences), the equipment will augment Navy STEM education and future workforce development.

Tim Havens is associate dean for research, College of Computing, the William and Gloria Jackson Associate Professor of Computer Systems, and director of the Institute of Computing and Cybersystems.

Andrew Barnard is director of the Great Lakes Research Center,
associate professor, Mechanical Engineering—Engineering Mechanic, and Faculty advisor to the undergraduate SENSE Enterprise.

Guy Meadows is director of the Marine Engineering Laboratory, the Robbins Professor of Sustainable Marine Engineering, and a research professor in the Department of Mechanical Engineering-Engineering Mechanics.

Gowtham is director of research computing for Michigan Tech’s Information Technology department; an adjunct assistant professor, Physics; a research associate professor, Electrical and Computer Engineering; and an NSF XSEDE Campus Champion.

The Institute of Computing and Cyberersystems (ICC) promotes collaborative, cross-disciplinary research and learning experiences through six research centers in the areas of computing education, cyber-physical systems, cybersecurity, data sciences, human-centered computing, and scalable architectures and systems, for the benefit of Michigan Technological University and society at large.

The ICC’s 55 members represent more than 20 academic disciplines at Michigan Tech. Member scientists are collaborating to conduct impactful research, make valuable contributions in the field of computing, and solve problems of critical national importance.

The Great Lakes Research Center (GLRC) provides state-of-the-art laboratories to support research on a broad array of topics. Faculty members from many departments across Michigan Technological University’s campus collaborate on interdisciplinary research, ranging from air–water interactions to biogeochemistry to food web relationships.

One of the GLRC’s most important functions is to educate the scientists, engineers, technologists, policymakers, and stakeholders of tomorrow about the Great Lakes basin. The Center for Science and Environmental Outreach provides K–12 student, teacher, and community education/outreach programs, taking advantage of the Center’s many teaching labs.

The GLRC also contains a lake-level marine facility and convenient deep-water docking, providing a year-round home for Michigan Tech’s surface and sub-surface fleet of marine vehicles.



Yu Cai is PI of 2-year NSA GenCyber Project

Professor Yu Cai, Applied Computing, a member of the ICC’s Center for Cybersecurity, is the principal investigator on a two-year project that has received a $99,942 grant from the National Security Agency (GenCyber). The project is titled, “GenCyber Teacher Camp at Michigan Tech. “

Lecturer Tim Van Wagner (AC) and Assistant Professor Bo Chen (CS, DataS) are Co-PIs. Yu Cai will serve as the camp director, Tim Van Wagner as lead instructor.

This GenCyber project aims to host a week-long, residential summer camp for twenty K-12 STEM teachers in 2021 at Michigan Tech. Target educators are primarily from Michigan and surrounding states.

The objectives of the camp are to teach cybersecurity knowledge and safe online behavior, develop innovative teaching methods for delivering cybersecurity content, and provide professional development opportunities so participants will return to their home schools with contagious enthusiasm about teaching cybersecurity.

The GenCyber camp will be offered at no cost to camp participants. Room and board will be provided. Teacher participants will receive a stipend of $500 for attending and completing camp activities.

Read about the 2019 Michigan Tech GenCyber camps for teachers and students here.


Curious about Your Computing Professors?


Greetings College of Computing students. Welcome to the Fall 2020 semester.

College of Computing faculty recorded these 25 videos to introduce themselves to you and the College. We hope you’ll take a look.

Your professors share info about their courses and research, the Computing clubs and Enterprise groups they advise, College outreach and volunteering opportunities, and even a little something about themselves. Enjoy.

View all 25 Fall 2020 faculty videos here.

Meet Your Professors in the Michigan Tech College of Computing

Meet Your Professors in the College of Computing


Find contact info for your Computing professors in the Faculty Directory.


Tim Havens Co-Author of Article in IEEE Trans. Fuzzy Systems

Timothy Havens (DataS/CC) and Anthony Pinar (DataS/ECE) are co-authors of a paper, written in collaboration with University of Missouri researchers Muhammad Islam, Derek Anderson, Grant Scott, and Jim Keller, that has been published in the July 2020 issue of the journal IEEE Transactions on Fuzzy Systems.

The article is titled, “Enabling explainable fusion in deep learning with fuzzy integral neural networks.” Link to the article here. See the abstract below.

Abstract
Information fusion is an essential part of numerous engineering systems and biological functions, e.g., human cognition. Fusion occurs at many levels, ranging from the low-level combination of signals to the high-level aggregation of heterogeneous decision-making processes. While the last decade has witnessed an explosion of research in deep learning, fusion in neural networks has not observed the same revolution. Specifically, most neural fusion approaches are ad hoc, are not understood, are distributed versus localized, and/or explainability is low (if present at all). Herein, we prove that the fuzzy Choquet integral (ChI), a powerful nonlinear aggregation function, can be represented as a multilayer network, referred to hereafter as ChIMP.

We also put forth an improved ChIMP (iChIMP) that leads to a stochastic-gradient-descent-based optimization in light of the exponential number of ChI inequality constraints. An additional benefit of ChIMP/iChIMP is that it enables explainable artificial intelligence (XAI). Synthetic validation experiments are provided, and iChIMP is applied to the fusion of a set of heterogeneous architecture deep models in remote sensing. We show an improvement in model accuracy, and our previously established XAI indices shed light on the quality of our data, model, and its decisions.

Citation
M. Islam, D. T. Anderson, A. J. Pinar, T. C. Havens, G. Scott and J. M. Keller, “Enabling Explainable Fusion in Deep Learning With Fuzzy Integral Neural Networks,” in IEEE Transactions on Fuzzy Systems, vol. 28, no. 7, pp. 1291-1300, July 2020, doi: 10.1109/TFUZZ.2019.2917124.


New Computing Bits Session is Wednesday, August 5 at 6 pm

A second College of Computing Computing Bits session will take place Wednesday, August 5, at 6:00 p.m. via online Zoom meeting. A link to the event has been emailed to students.

This week’s session will include presentations by two student groups: the cybersecurity RedTeam and the Humane Interface Design Enterprise (HIDE). Following, students are invited to join conversational breakout rooms with College of Computing faculty members, and advisors and representatives from College of Computing student groups. Students may move from room to room according to their interests.

Join the Computing Bits session here.

We really enjoyed visiting with you at the first Computing Bits sessions, so we calibrated content for this next week to emphasize discussion time with faculty. We will also have returning Computing Huskies join in conversations.

New students: This is your chance to ask that question you’ve been wanting to ask–about computing, college, degree programs, careers, snow, pasties — anything!

Dean Adrienne Minerick

At the first Computing Bits session, July 29, 2020, new Assistant Professor Briana Bettin, Computer Science, and Senior Lecturer Todd Arney, Applied Computing discussed introductory Computing courses. Additional presentations included the Copper Country Coders student outreach group and conversations with department chairs Dan Fuhrmann, Applied Computing, and Linda Ott, Computer Science.

Additional Computing Bits sessions will be scheduled in the weeks ahead; topics will be announced in advance. Sessions will include breakout rooms in which faculty members will discuss a unifying topic, such as A.I., cybersecurity, health informatics, or even “what do I need to know about computers before I start?”


Tim Havens Gives Talk at Los Alamos National Lab

Dr. Timothy Havens presented the lead talk at the Los Alamos National Laboratory’s ISR-2 Seminar Series on Advancing Toward Modern Detection and Estimation Techniques for Multi-Sensor Scenarios, presented online on July 9, 2020.

Tim Havens is associate dean for research for the College of Computing, director of the Institute of Computing and Cybersystems (ICC), and the William and Gloria Jackson Associate Professor of Computer Systems.

The talk, “Explainable Deep Fusion,” described Havens’s sensor fusion systems research that seeks to combine cooperative and complementary sources to achieve optimal inference from pooled evidence.

Havens specifically discussed his innovations in non-linear aggregation learning with Choquet integrals and their applications in deep learning and Explainable AI.