Category: Lectures

Homin Song, a postdoctoral researcher at Argonne National Laboratory, will present a lecture on Thursday, January 23, 2020, at 4:00 p.m., in EERC 103.

The lecture is part of the Mechanical Engineering-Engineering Mechanics Graduate Seminar Speaker Series. It is presented in part by the Tomorrow Needs Faculty and Scientist Seminar Series sponsored by the Michigan Tech colleges of Computing, Engineering, and Sciences and Arts, Great Lakes Research Center, and Institute of Computing and Cybersystems. Learn more at mtu.edu/icc/seminars.

Song completed a Ph.D. in civil engineering at University of Illinois at Urbana-Champaign in 2019. He holds an M.S. degree from Korea Advanced Institute of Science and Technology (KAIST) and a B.S. from Hanyang University, also in civil engineering.

Homin’s research interests lie in nondestructive evaluation (NDE) and structural health monitoring (SHM) based on ultrasonic wave motion. His broad spectrum of expertise encompasses the topical areas of NDE/SHM, such as advanced ultrasound sensing technology, signal/data processing, numerical modeling, and experimental solid mechanics. His current postdoctoral research aims at developing a super-resolution non-contact ultrasonic array imaging technique via deep learning.

Homin was awarded the Student Best Paper Award at the 2017 International Workshop on Structural Health Monitoring, the Student Award for Research on NDT from American Concrete Institute, and the Outstanding Paper Award from the Korean Society of Civil Engineers. 

Abstract: Nondestructive evaluation (NDE) and structural health monitoring (SHM) systems are essential for today’s modern structures to ensure their long-term performance and reduced maintenance cost. The talk will present two full-field high-resolution ultrasonic imaging approaches to detect, image, and characterize internal damage in various materials and structural elements. The first approach is a near-field imaging technique via noncontact ultrasonic scanning measurements. Development of novel ultrasonic scanning hardware, numerical and experimental wave mechanics study to understand complicated wave scattering, and wavefield data processing are presented. A unique application of the developed approach to large-scale concrete structures under realistic damage-promoting environments is also presented. The second approach is a far-field imaging technique based on deep learning. A novel hierarchical multi-scale deep learning approach designed to image subtle structural defects is presented. The results are compared with those obtained by a widely accepted high-resolution imaging technique, Time-reversal MUSIC. 

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The first Applied Cognitive Science and Human Factors (ACSHF) Forum of the Spring 2020 semester will be held from 2 to 3 p.m. Monday (Jan. 13) in Meese 109. Samantha Smith (CLS), will present “The Relationship between Cerebral Hemovelocity and Vigilance: Sample versus Individual Outcomes, and Future Directions.”

High workload, stress, and fatigue may negatively impact operator performance in critical roles. A means to monitor ongoing performance would be useful to intercede when deficits are detected, but it is not often possible to detect these deficits in real-world tasks, in real-time. However, it has shown that cerebral blood flow velocity (CBFV), a measure of changes in cognitive metabolic activity, declines alongside performance in sustained attention tasks. Thus, CBFV has been proposed as a potential way to monitor operators for indirect insight into cognitive state and performance.

This presentation will discuss a recent study exploring the relationship between CBFV and vigilance performance at the sample versus individual level and will propose the use of Recurrence Quantification Analysis to further explore the complex relationship between psychophysiological metrics and cognitive performance over time.

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by Research Development Office

All Michigan Tech researchers are invited to participate in the 2020 Research Development Day at Michigan Tech. The event will be held Thursday, Jan. 9. The content of the 2020 event is new and designed for both new and returning attendees.

Multiple sessions are planned for faculty at all career stages and from all disciplines. Research staff and post-docs from any discipline are also likely to find sessions of interest. We are excited to welcome Jose Fuentes as our keynote speaker.

Fuentes is an experienced faculty researcher at Penn State, with a significant track record of international work and broad research impact. As in previous years, we will end the day with research recognitions, celebrating accomplishments from across the university over the past year, followed by a networking social.

A condensed agenda is found on the reservation form. Your RSVP is requested by Jan. 3 to finalize meal counts and room arrangements. If your schedule does not permit you to attend the full day, the RSVP allows you to sign up for morning, lunch, and/or afternoon sessions.

The RSVP form should take only a minute or two to complete. A reminder and final agenda will be sent in the new year. Please contact rd-l@mtu.edu with any questions.

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A Meet and Greet with author and professor Meredith Broussard will take place Thursday, December 5, from 2:00 to 3:00 pm, in Fisher Hall Room 127.

Dr. Broussard will present a public lecture Thursday, December 5, 7:00 pm to 8:30 p.m., in the Memorial Union Building (MUB), Ballroom B.

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Nathir Rawashdeh, College of Computing Assistant Professor of Mechatronics, Electrical, and Robotics Engineering Technology, will present a talk this Friday, December 6, from 3:00 to 4:00 p.m., in Rekhi 214. Rawashdeh will present a review of recent advancements in Unmanned Ground Vehicle (UGV) applications, hardware, and software with a focus on vehicle localization and autonomous navigation. Refreshments will be served.

Abstract: Unmanned Ground Vehicles (UGV) are being applied in many scenarios including, indoors, outdoors, and even extraterrestrial. Advancements in hardware and software algorithms reduce their cost and enable the creation of complete UGV platforms designed for custom application development, as well as research into new sensors and algorithms.

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The Institute for Policy, Ethics, and Culture’s Algorithmic Culture Series continues with “Artificial UnIntelligence,” a keynote lecture from Meredith Broussard, at 7 p.m. Thursday (Dec. 5) in Memorial Union Building Ballroom B, followed by a Q&A.

Collective enthusiasm for applying computer technology to every aspect of life has resulted in a vast number of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding our technology actually work.

In this talk, author and professor Meredith Broussard looks at the inner workings and outer limits of technology, and explains why we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard looks at whether self-driving cars really work and why social problems persist in every digital Utopia. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

Meredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University and the author of Artificial Unintelligence: How Computers Misunderstand the World. Her research focuses on artificial intelligence in investigative reporting, with a particular interest in using data analysis for social good. You can follow her on Twitter @merbroussard or contact her via meredithbroussard.com.

Learn more about the Institute for Policy, Ethics, and Culture here: https://www.mtu.edu/ipec/

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A seminar series to bring advanced PhD students and postdoctoral scholars to Michigan Tech has been launched by the Institute of Computing and Cybersystems, in partnership with the College of Computing, the College of Engineering, and the Great Lakes Research Center. The Tomorrow Needs Faculty and Scientist Seminar Series is intended to build connections with up-and-coming researchers, recruit and retain top talent at Michigan Tech, and provide opportunities for these promising scholars to learn more about Michigan Tech and the University’s excellent resources for research and education.

Those selected will be invited to present a research seminar, tour the Michigan Tech  campus and research facilities, and meet with faculty and students.

Applications to nominate scholars from around the globe are sought from all areas of the university. Nominations of advanced PhD candidates and postdoctoral scholars currently at Michigan Tech are also encouraged.  Find the online nomination form at  mtu.edu/icc/seminars. In the near term, applications will be reviewed as they are received, with a more formal review process to be instituted in the near future.

“Recruiting and retaining talented faculty and researchers is essential for Michigan Tech as we pursue the growth strategies identified by Tech Forward and the University’s leadership team,” says Adrienne Minerick, dean of the College of Computing. “We have an abundance of excellent teaching and creative research at Michigan Tech that complements a terrific quality of life here in the Upper Peninsula. This seminar series will showcase our top-notch people, facilities, teaching and research support infrastructure, and the Houghton/Hancock area to talented new PhDs and post doctoral researchers.”

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A Meet & Greet with John Cheney-Lippold, University of Michigan associate professor of American culture and digital studies and author of We Are Data: Algorithms and the Making of Our Digital Selves, will take place Monday, November 18, from 3:00 – 4:00 p.m., in Rekhi G09.

Dr. Cheney-Lippold will present “Algorithms, Accidents, and the Imposition of a World of Calculation” on Monday, November 18, at 7:00 p.m. in EERC 103. The lecture is part of the Institute for Policy, Ethics, and Culture’s Algorithmic Culture Series.

Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge and social relationships in the digital and physical world, but also determine who we are and who we can be, both on and offline.

The explosive, sometimes accidental transformations performed by statistics and algorithms alter our world to produce “someone else,” no longer the beings we thought we were.

To demonstrate how statistics and algorithms are fundamentally transformative, Cheney-Lippold explores the use of statistics to invalidate the signature of a multimillion-dollar will and to objectify racial categories in the case of People vs. Collins. He also examines the accidental algorithmics that led to the lethal collision of a Tesla autonomous vehicle.

His lecture reorients many of the pressing questions of contemporary culture of algorithmic bias, ethics, and ideas of justice.

Download the event flyer.

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The Institute for Policy, Ethics, and Culture’s Algorithmic Culture series continues with “Algorithms, Accidents, and the Imposition of a World of Calculation,” a keynote lecture from John Cheney-Lippold, on Monday, Nov. 18, at 7 p.m. in EERC 0103. A Q&A will follow.

Cheney-Lippold is an associate professor of american culture and digital studies at the University of Michigan. He is the author of We Are Data: Algorithms and the Making of our Digital Selves (NYU Press, 2017).

Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge and social relationships in the digital and physical world, but also determine who we are and who we can be, both on and offline.

The explosive, sometimes accidental transformations performed by statistics and algorithms alter our world to produce “someone else,” no longer the beings we thought we were. To demonstrate how statistics and algorithms are fundamentally transformative, Cheney-Lippold explores the use of statistics to invalidate the signature of a multimillion-dollar will and to objectify racial categories in the case of People vs. Collins. He also examines the accidental algorithmics that led to the lethal collision of a Tesla autonomous vehicle. This lecture reorients many of the pressing questions of contemporary culture of algorithmic bias, ethics, and ideas of justice.

The Algorithmic Culture series will conclude in December with a presentation from Meredith Broussard entitled “Artificial UnIntelligence.” Broussard’s lecture will be held Thursday, Dec. 5 at 7 p.m. in the Memorial Union Building, Ballroom B.

The mission of the Institute for Policy, Ethics, and Culture is to promote research, policy engagement, and teaching that address the ethical and cultural challenges, implications, and strategies unique to the emerging technocultural environment. Its goals are to promote innovative research and collaboration on policy, ethics, and culture; contribute to policy making in Michigan and beyond; and provide students with tools to work proactively in the emerging environment.

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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.

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