Category: Havens

College of Computing, CNSA Program Focus of HostingAdvice Article

The College of Computing and the Institute of Computing and Cybersystems (ICC) are the subjects of an article published today (Sept. 2, 2020) on HostingAdvice.com, a website and blog that educates visitors to the site about the world of web hosting.

The article, for which College of Computing Dean Adrienne Minerick was interviewed, provides a close look at the new College, its well-established Computer Science and Software Engineering degree programs (B.S., M.S., and Ph.D.), new Cybersecurity and Mechatronics undergraduate programs, as well as faculty research and the ICC.

Special emphasis is placed on the Computer Network and Systems Administration undergraduate degree program, in which students prepare for careers as network and computer systems administrators, commonly referred to as a “sysadmins.”

Read the full article here.

“Our readers know that a lot goes into finding the best providers of shared, dedicated, and virtual private servers,” said Sean Garrity, managing editor at HostingAdvice.com. “The article provides information about how to prepare if you want to to break into the industry as a professional, not just a consumer.”


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.


$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.



Tim Havens, Tony Pinar Co-Authors of Article in IEEE Trans. Fuzzy Systems

An article by Anthony Pinar (DataS/ECE) and Timothy Havens (DataS/CC), in collaboration with University of Missouri researchers Muhammad Islam, Derek Anderson, Grant Scott, and Jim Keller, all of University of Missouri, 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.

Tony Pinar

Tim Havens

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.


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 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.


Signature Research, Michigan Tech win $1 Million NGA Research Award

Signature Research Inc. has partnered with Michigan Technological University to accomplish a Phase II STTR project sponsored by the National Geospatial-Intelligence Agency. The two-year, $1 Million project is titled, “Algorithms for Look-Down Infrared Target Exploitation-Phase II.” Michigan Tech’s portion of the $1 million contract is $400K.


Principal investigator of the project is Dr. Timothy Havens, director of the Institute of Computing and Cyberystems (ICC) and associate dean of research for the College of Computing. Havens is joined by Signature Research, Inc. (SGR) Program Manager Matt Blanck, who will lead the SGR side of the project.

At Tech, Havens will be assisted in accomplishing the goals of this project by Research Scientist Adam Webb of the Michigan Tech Research Institute (MTRI) and Nicholas Hamilton, a Computer Science Ph.D. candidate.

“This project will identify physics-based novel signatures and data processing techniques to exploit overhead infrared (IR) imagery using machine learning algorithms.”

“The SGR/MTU Team will generate, collect, and label a wide body of data, implement learning algorithms, develop use cases and tests on those data, and perform a comprehensive study to determine ways in which learning algorithms can automate IR imagery recognition tasks.”

Dr. Timothy Havens

And while this effort is focused on overhead IR imagery, Havens says the methods and software developed will have applicability to other sensing modalities, leading to investigations of multi-modal fusion of all-source data.


Signature Research, Inc. (SGR) solutions to DoD and Intelligence Community customers, and specializes in in Signature Phenomenology, Analysis, and Modeling of items of military interest covering the breadth of the electromagnetic spectrum.

The National Geospatial-Intelligence Agency (NGA) is a combat support agency under the United States Department of Defense and a member of the United States Intelligence Community, with the primary mission of collecting, analyzing, and distributing geospatial intelligence in support of national security.

The Institute of Computing and Cybersystems (ICC) promotes research and learning experiences in the areas of cyber-physical systems, cybersecurity, data sciences, human-centered computing, and scalable architectures and systems for the benefit of Michigan Tech and society at large.

The Michigan Tech Research Institute (MTRI) is an innovator in building information from data through the marriage of phenomenological understanding and implementation of mathematically rigorous algorithms. Together with University and other national and international collaborators, MTRI researchers and scientists work to solve critical problems in national security, protecting and evaluating critical infrastructure, bioinformatics, Earth sciences, and environmental processes, according to their website.


GSG to Present Webinar Series in Computer Programming

The Graduate Student Government (GSG) Professional Development Committee has organized a free webinar series in Computer Programming, which begins Tuesday, July 14, 2020.

July 14: “Introduction to Machine Learning with Python,” by Timothy Havens (CC)

July 15: “Managing Data” (Data Mining)” by MS Data Science candidate Sneha Nimmagadda

July 16: “Introduction to Deep Learning,” by Timothy Havens (CC)

Seats are not limited, but participants are asked to register so webinar organizers know how many attendees to expect.

Find more information, including links to register and join Zoom meetings, visit the GSG website.


Computing Awards COVID-19 Research Seed Grants

The College of Computing is pleased to announce that it has awarded five faculty seed grants, which will provide immediate funding in support of research projects addressing critical needs during the current global pandemic.

Tim Havens, College of Computing associate dean for research, said that the faculty seed grants will enable progress in new research that has the potential to make an impact on the current research. Additional details will be shared soon.


Congratulations to the winning teams!

Guy Hembroff (AC, HI): “Development of a Novel Hospital Use Resource Prediction Model to Improve Local Community Pandemic Disaster Planning”

Leo Ureel (CS) and Charles Wallace (CS): “Classroom Cyber-Physical Simulation of Disease Transmission”

Bo Chen (CS): “Mobile Devices Can Help Mitigate Spreading of Coronavirus”

Nathir Rawashdeh (AC, MERET): “A Tele-Operated Mobile Robot for Sterilizing Indoor Space Using UV Light” (A special thanks to Paul Williams, who’s generous gift to support AI and robotics research made this grant possible)

Weihua Zhou (AC, HI) and Jinshan Tang (AC, MERET): “KD4COVID19: An Open Research Platform Using Feature Engineering and Machine Learning for Knowledge Discovery and Risk Stratification of COVID-19″

Weihua Zhou

Nathir Rawashdeh

Jinshan Tang

Guy Hembroff

Leo Ureel

Charles Wallace

Bo Chen


Tim Havens Quote in Enterprisers Project Article

Tim Havens, associate dean for research, College of Computing, and director of the Institute of Computing and Cybersystems, was quoted in the article, “Artificial intelligence (AI) vs. machine learning (ML): 8 common misunderstandings,” published May 19, 2020, in the online publication, The Enterprisers Project.

In there article, 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,” Havens says. “That’s AI in a nutshell.”

Link to 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 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.


Havens, Yazdanparast Publish Article in IEEE Transactions on Big Data

Timothy Havens

An article by Audrey Yazdanparast (2019, PhD, Electrical Engineering) and Dr. Timothy Havens, “Linear Time Community Detection by a Novel Modularity Gain Acceleration in Label Propagation,” has been accepted for publication in the journal, IEEE Transactions on Big Data.

The paper presents an efficient approach for detecting self-similar communities in weighted graphs, with applications in social network analysis, online commodity recommendation systems, user clustering, biology, communications network analysis, etc.

Paper Abstract: Community detection is an important problem in complex network analysis. Among numerous approaches for community detection, label propagation (LP) has attracted a lot of attention. LP selects the optimum community (i.e., label) of a network vertex by optimizing an objective function (e.g., Newman’s modularity) subject to the available labels in the vicinity of the vertex. In this paper, a novel analysis of Newman’s modularity gain with respect to label transitions in graphs is presented. Here, we propose a new form of Newman’s modularity gain calculation that quantifies available label transitions for any LP based community detection.

The proposed approach is called Modularity Gain Acceleration (MGA) and is simplified and divided into two components, the local and global sum-weights. The Local Sum-Weight (LSW) is the component with lower complexity and is calculated for each candidate label transition. The General Sum-Weight (GSW) is more computationally complex, and is calculated only once per each label. GSW is updated by leveraging a simple process for each node-label transition, instead of for all available labels. The MGA approach leads to significant efficiency improvements by reducing time consumption up to 85% relative to the original algorithms with the exact same quality in terms of modularity value which is highly valuable in analyses of big data sets.

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

View the article abstract here.