Weihua Zhou, assistant professor, Health Informatics, and member of the ICC’s Center for Data Sciences, is the principal investigator on a project that has received a $24,497 federal pass-through research and development grant from Tulane University. The project is titled, “Trans-Omics Integration of Multi-Omics Studies for Male Osteoporosis.” This is a 7-1/2 month project.
Mark Rouleau, associate professor of Social Sciences and a member of the ICC’s Center for Data Sciences, was among those interviewed for the article, “Good ideas: Tech holds open house for IDEA Hub,” which appeared on the front page of the Daily Mining Gazette on November 22, 2019. The article was about a November 20 open house hosted by the IDEA Hub, a Michigan Tech incubator where people from different disciplines can find solutions to problems on scales from Tech to the world, which was launched earlier this year by the Tech Forward “Education in the 21st Century” task force.
Alex Sergeyev, College of Computing professor and dirtector of the Mechatronics graduate degree program, was quoted in the article “Robotics key to Michigan’s economy,” published in the Grand Rapids Business Journal on November 22, 2019.
The article also mentions Michigan Tech’s 2018 partnership with Bay De Noc Community College to create a robotics and software development program, which offers a hands-on training program and an easy path for transferring from the community college to the university.
An article co-authored by Aleksandr Sergeyev, College of Computing professor, director of the Mechatronics graduate program, and member of the ICC’s Center for Data Sciences, has been published in the Journal of Engineering Technology (JET).
The conclusive article, titled “A University, Community College, and Industry Partnership: Revamping Robotics Education to Meet 21st century Needs – NSF Sponsored Project Final Report,” summarizes the work funded by a $750K NSF grant received by Servgeyev in 2015 to to promote robotics education. The paper details the grant-funded achievements in curriculum and educational tools development, dissemination, and implementation at Michigan Tech and beyond.
Co-PIs on the project are Scott A. Kuhl (Michigan Technological University), Prince Mehandiratta (Michigan Technological University), Mark Highum (Bay de Noc Community College), Mark Bradley Kinney (West Shore Community College), and Nasser Alaraje (The University of Toledo).
A related paper was presented at the 2019 ASEE Annual Conference & Exposition, June 21-24, 2019, in Tampa, FL, as part of the panel “Academe/Industry Collaboration” presented by the Technical Engineering Technology Division, where it was awarded the Best Paper Award in the Engineering Technology Division. Download the conference paper here: https://www.asee.org/public/conferences/140/papers/26234/view.
Conference Paper Abstract: Recently, educators have worked to improve STEM education at all levels, but challenges remain. Capitalizing on the appeal of robotics is one strategy proposed to increase STEM interest. The interdisciplinary nature of robots, which involve motors, sensors, and programs, make robotics a useful STEM pedagogical tool. There is also a significant need for industrial certification programs in robotics. Robots are increasingly used across industry sectors to improve production throughputs while maintaining product quality. The benefits of robotics, however, depend on workers with up-to-date knowledge and skills to maintain and use existing robots, enhance future technologies, and educate users. It is critical that education efforts respond to the demand for robotics specialists by offering courses and professional certification in robotics and automation. This NSF sponsored project introduces a new approach for Industrial Robotics in electrical engineering technology (EET) programs at University and Community College. The curriculum and software developed by this collaboration of two- and four-year institutions match industry needs and provide a replicable model for programs around the US. The project also addresses the need for certified robotic training centers (CRTCs) and provides curriculum and training opportunities for students from other institutions, industry representatives, and displaced workers. Resources developed via this project were extensively disseminated through a variety of means, including workshops, conferences, and publications. In this article, authors provide final report on project outcomes, including various curriculum models and industry certification development, final stage of the “RobotRun” robotic simulation software, benefits of professional development opportunities for the faculty members from the other institutions, training workshops for K-12 teachers, and robotic one-day camps for high school students.
The Journal of Engineering Technology® (JET) is a refereed journal published semi-annually, in spring and fall, by the Engineering Technology Division (ETD) of the American Society for Engineering Education (ASEE). The aim of JET is to provide a forum for the dissemination of original scholarly articles as well as review articles in all areas related to engineering technology education. engtech.org/jet
The College of Computing (CC) will present a Friday Seminar Talk on November 15, at 3:00 p.m. in Rekhi 214. Featured this week is Weihua Zhou, assistant professor of Health Informatics and member of the ICC’s Center for Data Sciences. He will present his research titled: “Information retrieval and knowledge discovery from cardiovascular images to improve the treatment of heart failure.” Refreshments will be served.
Abstract: More than 5 million Americans live with heart failure, and the annual new incidence is about 670,000. Once diagnosed, around 50% of patients with heart failure will die within 5 years. Cardiac resynchronization therapy (CRT) is a standard treatment for heart failure. However, based on the current guidelines, 30-40% of patients who have CRT do not benefit from CRT. One of Zhou’s research projects is to improve CRT favorable response by information retrieval and knowledge discovery from clinical records and cardiovascular images. By applying statistical analysis, machine learning, and computer vision to his unique CRT patient database, Zhou has made a number of innovations to select appropriate patients and navigate the real-time surgery. His CRT software toolkit is being validated by 17 hospitals in a large prospective clinical trial.
An article by Mark Rouleau, associate professor of social sciences and member of the ICC’s Center for Data Sciences, was recently published in the journal Landscape and Urban Planning, published by Elsevier. The article, titled, “Agent-based modeling for bioenergy sustainability assessment,” is co-authored by Robert J. Zupko II.
Article Abstract: Woody biomass bioenergy is an important renewable alternative to conventional fossil fuels. However, the negative land-use change impacts of biomass harvesting necessary for bioenergy production can potentially outweigh its positive benefits if poorly managed. In this paper, we explain how Agent-Based Modeling (ABM), a form of computer simulation, can be used to conduct a comprehensive bioenergy sustainability assessment to identify possible gains and trade-offs necessary to develop bioenergy in regions with large numbers of private family forest owners or smallholders who own a significant share of available biomass. We discuss how ABM simulation can overcome the barriers of existing sustainability assessment tools and provide a demonstration of the sustainability assessment capabilities of an ABM using a hypothetical case study that explores the introduction of a bioenergy conversion facility in the Western Upper Peninsula of Michigan, United States. We conduct a series of alternative futures scenarios and compare the sustainability outcomes of three alternative policy regimes using voluntary incentive programs to encourage smallholders to harvest biomass.
Michigan Tech Digital Commons listing: https://digitalcommons.mtu.edu/michigantech-p/513/
Timothy Schulz, professor of electrical and computer engineering and member of the ICC Center for Data Science, has been awarded the prestigious University Professor title, which recognizes faculty members who have made outstanding scholarly contributions to the University and their discipline over a substantial period of time.
The University’s most prestigious faculty awards–announced last spring–were presented Wednesday, September 18, at a ceremony in the Van Pelt and Opie Library. Making the presentations were University President Richard Koubek, Provost and Senior Vice President for Academic Affairs Jacqueline Huntoon and Vice President for Research David Reed.
Tim Havens (CC/DataS) was quoted extensively in the article, “How to Explain AI in Plain English,”published September 23, 2019, in The Enterprisers Project. https://enterprisersproject.com/article/2019/9/ai-explained-plain-english
College of Computing Professor Alex Sergeyev (DataS) presented his research article, “University, Community College and Industry Partnership: Revamping Robotics Education to Meet 21st Century Workforce Needs – NSF Sponsored Project Final Report,” at the 2019 American Society of Engineering Education (ASEE) annual conference, receiving the Best Paper Award in the Engineering Technology Division.
The conference took place June 16-19 in Tampa, Florida.
Co-authors of the publication are S. Kuhl, N. Alaraje, M. Kinney, M. HIghum, and P. Mehandiratta. The paper will be published in the fall issue of the prestigious Journal of Engineering Technology (JET).
Timothy Havens (CC/ICC), the William and Gloria Jackson Associate Professor of Computer Systems and director of the Institute of Computing and Cybersystems (ICC), was quoted extensively in the article “How to make a career switch into AI: 8 tips,” which was published September 5, 2019, on The Enterprisers Project blog.
https://enterprisersproject.com/article/2019/9/ai-career-path-how-make-switch