Category: CPS

Bo Chen, the Michigan Tech Dave House Professor of Mechanical Engineering and Electrical Engineering, has received the designation of Fellow from the American Society of Mechanical Engineers (ASME).

The Fellow level of membership is conferred to worthy candidates by the ASME Committee of Past Presidents to recognize their outstanding engineering achievements.

Nominated by ASME Members and Fellows, an ASME Member nominee must have 10 or more years of active practice, and at least 10 years of active corporate membership in ASME.

Chen is the director of Michigan Tech’s Intelligent Mechatronics and Embedded Systems (IMES) Laboratory. She has a dual faculty appointment in the Department of Electrical and Computer Engineering. Visit Chen’s faculty webpage here.

A member of the Institute of Computing and Cybersystems (ICC)’s Center for Cyber-Physical Systems (CPS), Bo Chen conducts interdisciplinary research in the areas of mechatronics and embedded systems, agent technology, connected and autonomous vehicles, electric vehicle-smart grid integration, cyber-physical systems and automation.

William Predebon, chair of the the Department of Mechanical Engineering-Engineering Mechanics said, “Dr. Chen has made major contributions in her field of embedded systems with application to hybrid-electric and electric autonomous systems. Her course in Model-based Embedded Control System Design is regularly in high demand by not only ME students but also EE students. This is a testament to the importance of the topic and her teaching ability.”

ASME helps the global engineering community develop solutions to real world challenges. Founded in 1880 as the American Society of Mechanical Engineers, ASME is a not-for-profit professional organization that enables collaboration, knowledge sharing and skill development across all engineering disciplines, while promoting the vital role of the engineer in society. ASME codes and standards, publications, conferences, continuing education and professional development programs provide a foundation for advancing technical knowledge and a safer world.

Chee-Wooi Ten, associate professor, Electrical and Computer Engineering, and member of the ICC’s Center for Cyber-Physical Systems, was recently awarded a 6 month, $25K contract from the nonpartisan advisory panel, Protect Our Power. The title of the project is, “Consulting for Utilities on Cyber Risk Management.”

The activities Ten will undertake for the project include identifying security vendors for industrial harden security hardware and software, and conducting a survey of each of the identified security vendors to enumerate their strengths and weaknesses.

Ten will talk with vendors and utilities to understand their needs, identify product niches, and prepare a conclusion report that discusses the pros and cons of each vendor product and how each niche will contribute to general solutions for deploying security solutions for U.S. power utilities.

Project deliverables include a literature review, vendor discovery search, criteria identification and definition, comparative analysis matrix, and best practices conclusion paper.

Protect Our Power is a nonpartisan advisory panel with the single focus of strengthening the nation’s electrical power grid. The panel is composed of experts from industry, the physical and cyber defense communities, and finance and government. Its mission is to build consensus among key stakeholders and public policy influencers to launch a coordinated and adequately funded effort to make the nation’s electric grid and the country’s more than 3,000 utility companies prepared and protected against all cyberthreats.

The Vice President for Research Office recently announced the Fall 2019 Research Excellence Fund (REF) awards. The awardees included College of Computing Professor Jinshan Tang, a member of the ICC’s Center for Cyber-Physical Systems, who was awarded a Portage Health Foundation (PHF) Infrastructure Enhancement (IE) Grants for his proposal, “High Performance Graphics Processing Units.”

The REF Infrastructure Enhancement (REF-IE) grants are designed to provide resources to develop the infrastructure necessary to support sponsored research and graduate student education. Funded projects typically focus on acquisition of equipment, enhancement of laboratory facilities, or enhancement of administrative support structure to expand the research capability of the unit.

For additional information about the Research Excellence Funds, visit the REF website.

Chee-Wooi Ten (ECE), a member of Michigan Tech’s Center for Agile and Interconnected Microgrids and the ICC’s Center for Cyber-Physical Systems, is the principal investigator on a 17-month project that has received a $99,732 research and development cooperative agreement with the University of California Riverside. The project is entitled, “Discovery of Signatures, Anomalies, and Precursors in Synchrophasor Data with Matrix Profile and Deep Recurrent Neural Networks.”

Kuilin Zhang (CEE/MTTI), a member of the ICC Center for Cyber-Physical Systems (CPS), is the primary investigator on a project that has received a $567,230 contract with the Federal Railroad Administration. This project is entitled, “Developing Safe and Efficient Driving and Routing Strategies at Railroad Grade Crossings Based on Highway-Railway Connectivity.” Pasi Lautala (CEE) is the Co-PI on this potential two-year project.

Abstract: Road damages induced by heavily loaded truck traffic during the spring thaw are a major road distress in cold regions. To minimize these damages, Spring Load Restriction (SLR) is widely applied in the U.S., Canada, and other countries during the early thawing season by controlling the movement of freight-carrying trucks and heavy equipment travel until the thawing ends. Most SLR policies rely on the Freezing Depth (FD) and Thawing Depth (TD), especially the latter one. Therefore, accurate predictions of FD and TD are important to prevent both the extensive damage to the pavement due to the late placement or early removal of SLR and the economic loss of road users due to an unnecessarily long SLR period. Here, we propose a new multivariate model for predicting FD and TD in support of SLR decision-making. The model gives a curving surface of FD and TD in a 3-dimensional space, instead of 2-dimensional in traditional methods, by considering both the freezing and thawing indices in the entire freeze-thaw cycle. For model evaluations, yearly field data measured at five typical sites from 104 sites in Michigan were adopted. The evaluation results showed that the proposed model is accurate in predicting FD and TD for most sites. Compared to the previous TD predictions in the existing study, the TD predictions with the proposed model have been significantly improved. In addition, this study provides field data that have not been reported earlier in the literature and that can be used for validating other prediction models. The reported work is ready for practice for roadways in cold regions to support SLR decision-making.

Zhen Liu (CEE/MTTI) is Principal Investigator on a project that has received a $90,418 contract with Michigan Department of Transportation. This project is titled “Improved Calculation of Scour Potential in Cohesive Soils and Scour Susceptible Rock.” Brian Barkdoll (CEE) and Stan Vitton (CEE) are co-PI’s on this 14-month project.