Timothy Havens (CC/ICC) was General Co-Chair of the 2019 IEEE International Conference on Fuzzy Systems in New Orleans, LA, June 23 to 26. At the conference, Havens presented his paper, “Machine Learning of Choquet Integral Regression with Respect to a Bounded Capacity (or Non-monotonic Fuzzy Measure),” and served on the panel, “Publishing in IEEE Transactions on Fuzzy Systems.” Three additional papers authored by Havens were published in the conference’s proceedings: “Transfer Learning for the Choquet Integral,” “The Choquet Integral Neuron, Its PyTorch Implementation and Application to Decision Fusion,” and “Measuring Similarity Between Discontinuous Intervals – Challenges and Solutions.”
Zhuo Feng (ECE/ICC) is Principal Investigator on a project that has received a $500,000 research and development grant from the National Science Foundation. This potential three-year project is titled, “SHF: Small: Spectral Reduction of Large Graphs and Circuit Networks.”
Spectral methods are playing increasingly important roles in many graph and numerical applications. This research plan will investigate a truly-scalable yet unified spectral graph reduction approach that allows reducing large-scale, real-world directed and undirected graphs with guaranteed preservation of the original graph spectra.
The success of the proposed research will significantly advance the state of the arts in spectral graph theory, electronic design automation (EDA), data mining, machine learning, as well as scientific computing, leading to the development of much faster numerical and graph-based algorithms.
The algorithms and methodologies to be developed will be disseminated to leading technology companies such as EDA software and network companies for potential industrial adoptions. Spectral graph reduction algorithms/software packages will also be made available to other researchers through collaborations.
Timothy Havens (ECE/ICC) and Anthony Pinar (ECE) coauthored the article, “Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks,” which was accepted this month for publication in the journal IEEE Transactions on Fuzzy Systems.
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.
Herein, we prove that the fuzzy Choquet integral (ChI), a powerful nonlinear aggregation function, can be represented as a multi-layer network, referred to hereafter as ChIMP. An additional benefit of ChIMP/iChIMP is that it enables eXplainable AI (XAI).
Chris Middlebrook (ECE) was recently hosted by the ECE SPIE Chapter at Georgia Tech. On March 12, Middlebrook provided a presentation entitled “Embedded and Integrated Passive Waveguides and Active Integrated Optical Devices.”
SPIE is the international society for optics and photonics. Details of Middlebrook’s presentation are available online.
Timothy Havens (ECE) is the principal investigator on a research and development project that has received $96,643 from the Naval Surface Warfare Center.
Andrew Barnard (ME-EM) is the Co-PI on the project “Localization, Tracking, and Classification of On-Ice and Underwater Noise Sources Using Machine Learning.”
This is the first year of a potential three-year project totaling $299,533.
By Sponsored Programs.
Joshua Pearce (MSE/ECE/IMP) is the principal investigator on a project that has received a $20,000 research and development contract from Sandia National Laboratories.
The project is titled, “Snow Characteristics as a Factor in PV Performance and Reliability.”
This is a 10 month project totaling $40,000.
Wayne Weaver (ECE) is the principal investigator on a project that has received a $200,000 research and development grant from the U.S. Department of Defense – Office of Naval Research. Gordon Parker (ME-EM) is Co-PI on the project, “Real-Time Simulator for Advanced Energy Network Planning Optimization.” This is a one-year project.
The ICC is the research arm of the Alliance for Computing, Information and Automation, and one of several research centers at Michigan Tech organized under the authority of the Office of the Vice President for Research. It brings together some 50 Michigan Tech faculty members from 12 different academic units on campus, collaborating in the areas of cyber-physical systems, cybersecurity, data sciences, human-centered computing and scalable architectures and systems. Since its inception in 2015, it has hosted 28 funded projects, and was responsible for approximately $1.8M in external research expenditures in FY18.
As the Jackson Associate Professor, Havens holds a joint appointment in the Department of Electrical and Computer Engineering and the Department of Computer Science. He is also director of the interdisciplinary master of science program in data science. His technical areas of expertise are machine learning, computational intelligence, data science, and signal and image processing.
Havens was selected to lead the ICC by Provost and Vice President for Academic Affairs Jacqueline Huntoon and Vice President for Research David Reed, following an internal nomination and recommendation process organized by ICC Co-Director and ECE Department Chair Daniel R. Fuhrmann. Havens’ term as ICC director extends through Dec. 31, 2021.
Says Havens, “I am thrilled to be named the next director of the ICC and very much look forward to working with the entirety of the ICC membership and our connected communities to promote research and learning experiences in the areas of computing and cybersystems at Michigan Tech. I am enthused by the prospects of our ICC vision.”
By Daniel R. Fuhrmann.
Joshua Pearce (MSE/ECE) was interviewed for the article “Michigan Tech Researchers Publish Paper on New Recyclebot 3D Printer,” published in 3D Print Pulse, Ichiban Electronic Blog and 3DPrint.com among other sites.
Michigan Tech Researchers Publish Paper on New Recyclebot 3D Printer
Dr. Pearce is a major proponent for sustainability, and has also studied filament recycling in the past. In the 2017 study, Dr. Pearce and the rest of his team discussed the development of a solar-powered version of the open source “recyclebot,” an extruder for waste plastic that he designed back in 2013.
In a new paper, titled “RepRapable Recyclebot: Open source 3-D printable extruder for converting plastic to 3-D printing filament,” Dr. Pearce and his team relay their continued development of the innovative recyclebot, including the full plans, list of parts, and assembly instructions for the device, which was designed for FFF 3D printer-based filament research.
Co-authors of the paper include Michigan Tech’s Aubrey L. Woern, Joseph R. McCaslin, Adam M. Pringle, and Dr. Pearce.
In the News
Joshua Pearce (MSE/ECE) was featured in the article “Recyclebot an Open-Source 3D Printable Extruder for Converting Plastic to 3D Printing Filament.” in Inside 3D Printing.
Research by undergraduate Aubrey Woern (MEEM) and Joseph McCaslin (ECE), in collaboration with graduate student Adam Pringle (MSE) and Joshua Pearce (MSE/ECE) was featured in the article, “RepRapable Recyclebot: Open-Source-Extruder recycelt Filament,” in the German Make Magazine.
Undergraduate students Aubrey Woern (MEEM) and Joseph McCaslin (ECE) in collaboration with graduate student Adam Pringle (MSE) and Joshua Pearce (MSE/ECE) published “RepRapable Recyclebot: Open Source 3D Printable Extruder for Converting Plastic to 3-D Printing Filament” in HardwareX.
PhD student Khalid Khan (ECE) and Lucia Gauchia (ECE/ME) and Joshua Pearce (MSE/ECE) published Self-sufficiency of 3-D printers: utilizing stand-alone solar photovoltaic power systems, in Renewables: Wind, Water, and Solar.
Jeremy Bos (ECE) is the principal investigator on a project that has received a $5,000 research and development contract with the University of Michigan. Darrell Robinette (MEEM/ICC) is the Co-PI on the project “Robust Terrain Identification and Path Planning for Autonomous Ground Vehicles in Unstructured Environments.” The is the first year of a potential three-year project totaling $304,525.
By Sponsored Programs.