Category: Applied Computing

Master’s Defense: Chinmay Kondekar

Electrical Engineering Master’s candidate Chinmay Kondekar (advisor: Aleksandr Sergeyev), will present his master’s defense at 11 a.m. tomorrow (April 13) via Zoom.

The title of his presentation is “Integration of Robotic and Electro-Pneumatic Systems Using Advanced Control and Communication Schemes.”


GenCyber Cybersecurity Teacher Camp Is July 19-23

by Yu Cai, College of Computing

A GenCyber Cybersecurity Teacher Camp for K-12 teachers will be held at Michigan Tech during the week of July 19 – 23. Participants will learn cyber hygiene and fundamental security knowledge including email phishing, password management, and cyber ethics. Participants will also learn how to develop lesson plans to teach cybersecurity in K-12.

This is a residential camp (commuting optional), and is offered at NO COST to all participants. Room and board is included. Each teacher participant will receive a stipend of $500 for attending and completing camp activities. Camp activities will count for 25 State Continuing Education Clock Hours (SCECH).

Click here for more information and to apply. The application deadline is May.

Funding for the camp is provided jointly by the National Security Agency (NSA) and the National Science Foundation (NSF) through an award led by Yu Cai and Tim Van Wagner from the College of Computing.


Weihua Zhou, CC, to Present Lecture April 8

by Mechanical Engineering-Engineering Mechanics

The net virtual graduate Seminar Speaker will be held at 4 p.m. tomorrow (April 8) via Zoom.

Weihua Zhou (CC) will present “Artificial intelligence for medical image analysis: our approaches. “

Zhou, is an assistant professor of applied computing at Michigan Tech. He has been doing research on medical imaging and informatics since 2008. Attend virtually.

View the University Events Calendar, which includes a registration link and additional information about Dr. Zhou and his research.


1010 with … Dr. Alex Sergeyev, Applied Computing


Are you a high school student, current undergraduate student, or a recent BS graduate? Are you are interested in robotics, automation, and controls?

“If you’d like to learn more about the Mechatronics and the BS and MS programs at Michigan Tech, please join this 1010 conversation,” Professor Alex Sergeyev urges.

You are invited to spend one-zero-one-zero—that is, ten—minutes with Dr. Aleksandr Sergeyev on Thursday, April 15, from 4:30 to 4:40 p.m. EST.

Join the Zoom meeting here.


Dr. Sergeyev is a professor in the Applied Computing department and director of the Mechatronics graduate program. He also directs the FANUC Certified Industrial Robotics Training Center at Michigan Tech.

Dr. Sergeyev will discuss his research, the Applied Computing department, and the Mechatronics BS and MS programs. He will answer questions following his presentation.

Michigan Tech is a pioneer in Mechatronics education, having introduced a graduate degree program in 20xx, and a bachelor’s program in Fall 2019.

“Mechatronics is an industry buzzword synonymous with robotics, controls, automation, and electromechanical engineering,” Sergeyev says.

In his presentation, he will discuss Mechatronics in general, explain what the degree has to offer, job opportunities in Mechatronics, and some of the research he is conducting in this field.

In Spring 2021, a Mechatronics Playground was opened on campus. The hands-on learning lab and industry-grade equipment was funded by alumnus Mark Gauthier of Donald Engineering, Grand Rapids, MI, and other major companies.

A common degree in Europe, China, Japan, Russia, and India, advanced study in Mechatronics is an underdeveloped academic discipline in the United States, even though the industrial demand for these professionals is enormous, and continues to grow.

Sergeyev’s areas of expertise are in electrical and computer engineering, physics, and adaptive optics, and his professional interests include robotics. He is principal investigator for research grants totaling more that $1 million. He received both his MS and PhD degrees at Michigan Tech, in physics and electrical and computer engineering, respectively.

We look forward to spending 1010 minutes with you!


1010 with Jung Bae, Applied Computing, ME-EM


You are invited to spend one-zero-one-zero—that is, ten—minutes with Dr. Jung Yun Bae on Thursday, April 1, from 4:30 to 4:40 p.m. EST.

Dr. Bae is an Assistant Professor in the Applied Computing and Mechanical Engineering-Engineering Mechanics departments.

She will discuss her research, the Applied Computing department, and answer questions.

Dr. Bae earned her Ph.D. in Mechanical Engineering at Texas A&M University and worked as a research professor at Korea University before she joined Michigan Tech.

Dr. Bae’s research interests include:

  • Robotics, Multi-robot systems
  • Coordination of Heterogeneous Robot Systems
  • Vehicle Routing Problems
  • Multi-robot System Control and Optimization
  • Autonomous Navigation
  • Unmanned Vehicles
  • Operational Research for Autonomous Vehicles

We look forward to spending 1010 minutes with you!

Visit the 1010 with … webpage here.


Sidike Paheding, Applied Computing, Publishes Paper in IEEE Access

A paper co-authored by Sidike Paheding, Applied Computing, has been published in the journal, IEEE Access. “Trends in Deep Learning for Medical Hyperspectral Image Analysis,” was available for early access on March 24, 2021.

The paper discusses the implementation of deep learning for medical hyperspectral imaging.

Co-authors of the paper are Uzair Khan, Colin Elkin, and Vijay Devabhaktuni, all with the Department of Electrical and Computer Engineering, Purdue University Northwest.

Abstract

Deep learning algorithms have seen acute growth of interest in their applications throughout several fields of interest in the last decade, with medical hyperspectral imaging being a particularly promising domain. So far, to the best of our knowledge, there is no review paper that discusses the implementation of deep learning for medical hyperspectral imaging, which is what this work aims to accomplish by examining publications that currently utilize deep learning to perform effective analysis of medical hyperspectral imagery.

This paper discusses deep learning concepts that are relevant and applicable to medical hyperspectral imaging analysis, several of which have been implemented since the boom in deep learning. This will comprise of reviewing the use of deep learning for classification, segmentation, and detection in order to investigate the analysis of medical hyperspectral imaging. Lastly, we discuss the current and future challenges pertaining to this discipline and the possible efforts to overcome such trials.

DOI: 10.1109/ACCESS.2021.3068392

IEEE Access is a multidisciplinary, applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE’s fields of interest. Supported by article processing charges, its hallmarks are a rapid peer review and publication process with open access to all readers.


Michigan Space Grant Consortium Award Recipients Announced

by Pavlis Honor College

Michigan Tech students, faculty and staff members received awards totaling $95,175 in funding through the Michigan Space Grant Consortium (MSGC), sponsored by the National Aeronautics and Space Administration (NASA) for the 2021-2022 funding cycle.

Among the recipients is Assistant Professor Sidike Paheding, Applied Computing, who received an award in the pre-college outreach and research seed program.

Read the Tech Today announcement of all the Space Grant winners here.

Paheding is a member of the Center for Data Sciences research group of the Institute of Computing and Cybersystems (ICC).


Sidike Paheding Publishes Paper in Top Journal

A scholarly paper co-authored by Assistant Professor Sidike Paheding, Applied Computing, has been published in the April 2021 issue of ISPRS Journal of Photogrammetry and Remote Sensing, published by Science Direct.

The title of the paper is, “Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning.”

View the article abstract here.

Paheding is a member of the Institute of Computer and Cybersystems’s (ICC) Center for Data Sciences.


Biocomputing, Digital Health Focus of New Research Center


The Institute of Computing and Cybersystems (ICC) and the Health Research Institute (HRI) have established the Joint Center of Biocomputing and Digital Health (BDH).

The new research institute was co-founded by HRI member Jingfeng Jiang (BME) and ICC member Jinshan Tang (CC).

The mission of Joint Center of Biocomputing and Digital Health (BDH) is to conduct research, develop innovative solutions, and provide educational opportunities in the area of biocomputing and digital health, thereby enhancing Michigan Tech’s ability to recruit and retain high-quality researchers and students, elevating Michigan Tech’s presence in developing technologies for healthcare delivery, and increasing knowledge sharing in the global community.

Jingfeng Jiang is a professor with the Department of Biomedical Engineering. His research interests are in biomechanics, automated control of ultrasound scanning including the use of 3D printing technology, image and signal processing, non-invasive assessment of biomechanical properties of soft tissues, and computer aided analyses of cardiovascular flow.

Jinshan Tang is a professor in the Department of Applied Computing. His research interests are in image processing and pattern recognition, biomedical imaging and medical image analysis, and medical informatics and intelligent medical diagnosis systems. Tang is a member of the ICC’s Center for Cyber-Physical Systems.

The Institute of Computing and Cybersystems (ICC) creates and supports an arena in which faculty and students work collaboratively across organizational boundaries in an environment that mirrors contemporary technological innovation.

The Health Research Institute (HRI) aims to establish and maintain a thriving environment that promotes translational, interdisciplinary, and increasingly convergent health-related research and inspires education and outreach activities.

Please contact Jingfeng Jiang (jjiang1@mtu.edu) with questions.


Info Sessions for CyberCorps Scholarship Are March 22, March 30

An exciting scholarship opportunity has been announced for Michigan Tech students who wish to pursue cybersecurity-related degrees and work for government agencies after graduation.

Two informational sessions will be presented, on March 22 and March 30, to help students complete the application process for the CyberCorps: Scholarship for Service (SFS) Program.

Both sessions will provide the same information. Prior registration is required. Following, you will receive a confirmation email and instructions for joining the session.

Recently funded by the National Science Foundation (NSF), the SFS Program provides full scholarships for two or three years of support for undergraduate and graduate students in selected cybersecurity-related degree programs.

In return, following graduation recipients must agree to work for for the U.S. government in a cybersecurity-related position for a period equal to the duration of the scholarship.

Applications are being accepted for the 2021-2022 cohort. The deadline to apply is June 1, 2021. View the list of eligible degree programs on the SFS website.

Session #1 is on Monday, March 22, 2021, from 6:00 to 7:00 p.m. EST. Register for Session #1 here.

Session #2 is on Tuesday, March 30, 2021, from 6:00 to 7:00 p.m. EST. Register for Session #2 here.

For more information, please visit the SFS website at https://www.mtu.edu/sfs/, or contact Professor Yu Cai (cai@mtu.edu).

Read a Michigan Tech press release about this new scholarship opportunity:
https://www.mtu.edu/news/stories/2021/february/cybercorps-offers-huskies-scholarship-for-service-opportunity.html