Category: Applied Computing

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

Computing Programs Ranked Among Best in Nation

Several Michigan Tech College of Computing degree programs have been ranked among the best in the nation by Intelligent.com. In addition, the research guide ranked the University number three among all colleges in Michigan.

Intelligent.com looked at nearly 2,300 accredited colleges and universities nationwide making evaluations based on curriculum quality, graduation rate, reputation and post-graduate employment. Programs were evaluated on a scale of 0 to 100 with Michigan Tech making it to the final list for 12 separate degree programs.

The four College of Computing programs and their national ranking as rated by Intelligent.com are:

Additional Michigan Tech degree programs included in the ranking are:

Sidike Paheding Awarded MSGC Seed Grant

Michigan Space Grant Consortium

Assistant Professor Sidike Paheding, Applied Computing, has been awarded a one-year MSGC Research Seed Grant for his project, “Monitoring Martian landslides using deep learning and data fusion.”

Professor Thomas Oommen, Geological and Mining Engineering and Sciences, is Co-PI of the project. The grant will support part-time employment of two students during the award period.

This grant is supported in part by funding provided by the National Aeronautics and Space Administration (NASA), under award number 80NSSC20M0124, Michigan Space Grant Consortium (MSGC).

The MSGC Research Seed Grant Program supports junior faculty and research scientists at MSGC affiliate institutions. The program also helps mid-career and senior faculty develop new research programs. The objective of this program is to allow award recipients to develop the research expertise necessary to propose research activities in new areas to other federal or nonfederal sources.

Sidike Paheding is an assistant professor in the Applied Computing department of the Michigan Tech College of Computing.

His research interests cover a variety of topics in machine learning, deep learning, computer vision, and remote sensing. He has authored/coauthored close to 100 research articles, including several top peer-review journal papers. He is an invited member of Tau Beta Pi (Engineering Honor Society).

College of Computing Invites Applications for Two Faculty Positions

Are you interested in a faculty position with the new Michigan Tech College of Computing? Do you know someone who is?

Michigan Technological University’s College of Computing invites applications for two (2) assistant, associate, or full professor positions to start in August 2021.

Areas of particular interest include cybersecurity, artificial intelligence/machine learning, and data science; exceptional candidates in other areas of computing will also be considered.

Successful candidates will demonstrate a passion for their research, an enthusiasm for undergraduate and graduate education, and a strong commitment to cultivating diverse and inclusive learning environments.

View the positions description and apply here: https://www.employment.mtu.edu/cw/en-us/job/492473

Review of applications will begin immediately and continue until the position is filled. To learn more about this opportunity, please visit https://www.mtu.edu/computing/about/employment/ or contact the search chair, Dr. Timothy Havens, at thavens@mtu.edu. Applications received by March 1, 2020 will receive full consideration.

Michigan Tech is building a culturally diverse faculty committed to teaching and working in a multicultural environment and strongly encourages applications from all individuals. We are an ADVANCE Institution having received three National Science Foundation grants in support of efforts to increase diversity, inclusion, and the participation and advancement of women and underrepresented individuals in STEM.

Michigan Tech actively supports dual-career partners to retain a quality workforce; we offer career exploration advice and assistance finding positions at the University and in the local community. Please visit https://www.mtu.edu/provost/programs/partner-engagement for more information.

An applicant must have earned a Ph.D. degree in Computer Science, Computer Engineering, Computing, or a closely related area. Michigan Tech places a strong emphasis on balancing cutting-edge research with effective teaching, outreach, and service. Candidates for these positions are expected to demonstrate potential for excellence in independent research, excellence in teaching, and the ability to contribute service to their department and profession. Salary is negotiable depending upon qualifications.

Michigan Tech is an internationally renowned doctoral research university with 7,100 students and 400 faculty located in Houghton, Michigan, in the scenic Upper Peninsula on the south shore of Lake Superior. The area provides a unique setting where natural beauty, culture, education, and a diversity of residents from around the world come together to share superb living and learning experiences.

The College of Computing has 36 faculty members, 650 undergraduate students in five degree programs (Computer Science, Computer Network and System Administration, Cybersecurity, Electrical Engineering Technology, Mechatronics, and Software Engineering) and 90 graduate students in four MS degree programs (Computer Science, Cybersecurity, Data Science, Health Informatics, and Mechatronics) and Ph.D. degree programs in Computer Science and Computational Science and Engineering.