Category: Announcements

Computer Science, Software Engineering B.S. Programs Granted ABET Accreditation

The Computer Science and Software Engineering bachelor of science programs in the Michigan Tech College of Computing have recently been granted ABET accreditations through ABET’s Computing Accreditation Commission (CAC) and its Engineering Accreditation Commission (EAC), respectively.

ABET accreditation, which is voluntary, provides assurance that a college or university program meets the quality standards of the profession for which that program prepares graduates.

The Computer Science and Software Engineering ABET accreditations join two additional College of Computing ABET-accredited undergraduate programs: Computer Network and System Administration and Electrical Engineering Technology.

The announcement follows an 18-month ABET accreditation process, which included an in-depth self-study and report and an on-site visit from the ABET review team, which occurred in fall 2019. A lengthy readiness review was also prepared by the Computer Science department prior to the start of the accreditation process.

“I am grateful to all the faculty, staff, and students, as well as our alumni and advisory board members, who participated in this process,” says Department Chair Linda Ott, Computer Science. “It is time-consuming, but well worth the effort, to give our students even greater assurance that they are getting the quality education that they deserve and expect from us.”

“Linda, Nilufer Onder, Chuck Wallace, and so many others contributed to this accomplishment,” says College of Computing Dean Adrienne Minerick. “This accreditation status is one of many quality indicators that potential employers can use to assess the breadth and depth of our graduates’ knowledge.”

Associate Professor Nilufer Onder is the undergraduate program director for the Department of Computer Science. Associate Professor Charles Wallace, Computer Science, is the College of Computing’s Associate Dean for Curriculum and Instruction.

“With these accreditations, prospective and current students and their parents know that our programs are rigorous, and that our high quality curricula embrace continuous improvement,” says Minerick. “It reaffirms that as the Computing fields evolve, so do College of Computing academic programs.”

“The self-study process at the heart of accreditation is laborious and no one’s idea of a good time,” shares Wallace. “But the results of that intensive reflection have already led to constructive changes in our Computer Science and Software Engineering curricula. I appreciate the extraordinary efforts of my colleagues Nilufer Onder, Zhenlin Wang, Gorkem Asilioglu, and James Walker in pushing the process through to completion.”

“It is fantastic to see that ABET has recognized what we have known all along: Michigan Tech’s Computer Science and Software Engineering programs meet the highest quality standards and are committed to continuous improvement,” says Leonard Bohmann, Associate Dean for Academic Affairs in Michigan Tech’s College of Engineering. “Students, and the companies that hire them when they graduate, can be confident that their Michigan Tech education meets exacting global standards in these high-tech fields.”

“Our graduates have always been in high demand by industry,” Ott confirms. “The ABET focus on continuous quality improvement, core to the accreditation process, further ensures that our graduates’ knowledge and skills will continue to meet industry’s expectations into the future.”

The Computer Science and Software Engineering undergraduate programs were offered through the College of Engineering prior to the establishment of the College of Computing in July 2019.

“ABET accreditation demonstrates the direct involvement of faculty and staff in the self-assessment and continuous quality improvement processes, and validates that the pedagogical practices used in Computer Science and Software Engineering courses–and in all courses in ABET-accredited programs–are based upon learning outcomes, rather than teaching inputs,” Bohmann says.

ABET is considered the gold standard of accreditation in engineering and related programs. ABET accreditation has been granted to exceptional academic programs since 1932. (https://www.abet.org)

The Michigan Tech College of Computing, established July 1, 2019, offers undergraduate and graduate degree and certificate programs in Computer Network and System Administration, Computer Science, Cybersecurity, Electrical Engineering Technology, Health Informatics, Mechatronics, and Software Engineering.


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.


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.