Category: DataS

ECE Doctoral Defense – Adam Webb

by Electrical and Computer Engineering Department

Electrical Engineering doctoral candidate Adam Webb will present his PhD defence at 3:30 p.m. Thursday (April 15) via Zoom.

The title of his presentation is “Novel Methods in Computational Imaging with Applications in Remote Sensing.”

Webb’s co-advisors are Timothy Schulz (ECE) and Timothy Havens (CC).


Master’s Defense: Ashwini Arvind Nikumbh

April 9, 3:00 p.m–4:00 p.m

Mechanical Engineering Advisor: Susanta Ghosh

“Atomistic Continuum Simulations for Nano-Indentation and Compression of Multi-Layer Graphene”

Attend Virtually

Atomistic Continuum Simulations for Nano-Indentation and Compression of Multi-Layer Graphene

View the Events Calendar item here.


ECE Master’s Defense: Chinmay Rajaram Kondekar

by Electrical and Computer Engineering

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

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


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.


Get to Know Dr. Sangyoon Han, Biomedical Engineering


Dr. Sangyoon Han is an assistant professor in Michigan Tech’s Biomedical Engineering department, and an affiliated assistant professor in the Mechanical Engineering-Engineering Mechanics department. He is also advisor to the Korean Students Association. He has been with Michigan Tech since 2017.

Han recently joined the Institute of Computing and Cybersystems and its Data Sciences research group. His primary research interests are in mechanobiology, cell migration, and image data modeling. His research goals include applying computer vision to microscopic images to capture meaningful information, and he’s looking for collaborators.

“Anyone with a good machine learning background is encouraged to contact me to discuss potential research,” he says. “Also, students who learned assignment problems or particle tracking are encouraged to contact me to discuss potential tracking-related projects.”

Teaching and Mentoring

Han’s teaching interests include computer vision for microscopic images, fluid mechanics, cell biomechanics and mechanobiology, and soft tissue mechanics. This academic year, he instructed Computer Vision for Microscopic Images in the Fall semester, and Fluid Mechanics this Spring.

Han enjoys teaching and interacting with students, “and feel their energy, too.” He says he makes a deliberate effort in his classes to pause from time to time so that his students can ask questions.

Han advises two Biomedical Engineering Ph.D. students, Nikhil Mittal and Mohanish Chandurkar.

“Nik is working on finding myosin-independent mechanosensitivity mechanism for stiffness sensing, and Mohanish works on the project finding mechano-transmission for fluid shear stress sensing by endothelial cells,” he says.

Research Aspirations

Han’s Mechanobiology Lab is interested in finding fundamental mechanisms governing mechanotransduction, and how cells sense mechanical forces and convert them into biochemical signals.

“We image cells and associated forces using high-resolution live imaging, which we analyze to obtain statistically meaningful quantity of data,” Han explains. “We apply force-measuring and molecular-imaging/analysis technologies for stiffness sensing, shear flow sensing, adhesion assembly, and cancer mechanobiology.”

Han is working to gain a thorough understanding of the mechano-chemical interaction between cancer cells and their microenvironment, and develop a an effective mechano-therapeutic strategy to stop the progression of cancer, and breast cancer in particular. Ultimately, he wants to apply that knowledge to cancer mechanobiology

Han is principal investigator of a three-year NIH/NIGMS research project, “Nascent Adhesion-Based Mechano-transmission for Extracellular Matrix Stiffness Sensing.” The research aims to determine whether newly-born adhesions can sense tissue stiffness through the accurate measurement of the mechanical force and molecular recruitment of early adhesion proteins.

Some Background

In 2012, Han received his Ph.D. in Mechanical Engineering from the University of Washington in the areas of cell mechanics, multiphysics modeling, and bioMEMS.

For his postdoctoral training, he joined the Computational Cell Biology lab led by Dr. Gaudenz Danuser in the Cell Biology department of Harvard Medical School. In 2014, he joined the UT Southwestern (University of Texas) Department of Cell Biology and Bioinformatics. Han received his B.S and M.S. degrees in mechanical engineering at Seoul National University, Korea, in 2002 and 2004, respectively.

Han holds several patents and in 2015, he developed an open-source TFM (Traction Force Microscopy) Package, which is shared via his lab’s website: hanlab.biomed.mtu.edu/software.

Beyond Research and Teaching

Han loves science and discovering something new in his research investigations. Beyond his work as a professor and scientist, he describes himself as a husband to Sunny, and a dad to his son, Caleb.

“I am just a normal Korean who likes singing and dancing,” he says. “Unfortunately, my voice is still recovering from surgery, but I hope to get back to it soon. I also like to listen to all kinds of music, including hip-hop, classics, and pop.”

He appreciates a good sense of humor, but he says that being humorous in American English is something he continues to learn.

Han says he tries to be “normal” and not too nerd-like when he’s not pursuing his research, but “there are times when I am making my own hypothesis about some phenomena I observe in my daily life.”

Han enjoys life at Michigan Tech and in the Cooper Country. He likes getting to know his energetic students and he finds Michigan Tech faculty members very strong and collegial. He also enjoys the snow, hockey, and the mountains.

“I really like the snow here. I am already sad that the weather is becoming too mild!” he confirms. “It’s also a safe environment to raise kids, which is a big plus.”

And he likes his academic department. “Everyone is so nice in the Biomedical Engineering program, they have been so welcoming and appreciative my research,” Han says. “It’s a family-like environment.”


Active Research

1R15GM135806-01 (09/16/2019 – 08/31/2022)

Funding Agency: NIH/NIGMS

Nascent Adhesion-Based Mechano-transmission for Extracellular Matrix Stiffness Sensing

Project Goals: To determine whether newly-born adhesions can sense tissue stiffness by accurate measurement of mechanical force and of molecular recruitment of early adhesion proteins using traction force microscopy and computer vision techniques.
Role: Principal Investigator


Additional Information

The Mechanobiology Lab studies mechanobiology, particularly how adherent cells can sense and respond to mechanical stiffness of the extracellular matrix. To investigate this, the lab has established experimental and computational frameworks for force measurement and adhesion dynamics quantification. Researchers apply these frameworks, with cutting edge computer vision technique, on live-cell microscope images to investigate the fundamental mechanism underlying mechanosensation in normal cells, and the biomechanical signature of the diseased cells whose signaling has gone awry.

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 ICC’s 60+ members, in six research centers, represent more than 20 academic disciplines at Michigan Tech. https://www.mtu.edu/icc/

The ICC Center for Data Sciences (DataS) focuses on the research of data sciences education, algorithms, mathematics, and applications. https://www.mtu.edu/icc/centers/data-sciences/

The National Institutes of Health (NIH), a part of the U.S. Department of Health and Human Services, is the nation’s medical research agency — making important discoveries that improve health and save lives. https://www.nih.gov/

The National Institute of General Medical Sciences (NIGMS) supports basic research that increases understanding of biological processes and lays the foundation for advances in disease diagnosis, treatment, and prevention. https://www.nigms.nih.gov/


Recent Publications

  • Han, S. J.; Azarova, E. V.; Whitewood, A. J.; Bachir, A.; Guttierrez, E.; Groisman, A.; Horwitz, A. R.; Goult, B. T.; Dean, K. M.; Danuser, G. Pre-Complexation of Talin and Vinculin without Tension Is Required for Efficient Nascent Adhesion Maturation. eLife 2021, 10, e66151. https://doi.org/10.7554/eLife.66151.
  • Schäfer, C., Ju, Y., Tak, Y., Han, S.J., Tan, E., Shay, J.W., Danuser, G., Holmqvist, M., Bubley, G. (2020) TRA-1-60-positive cells found in the peripheral blood of prostate cancer patients correlate with metastatic disease. Heliyon 6(1), e03263.
  • Isogai, T., Dean, K.M., Roudot, P., Shao, Q., Cillay, J.D., Welf, E.S., Driscoll, M.K., Royer, S.P., Mittal, N., Chang, B., Han, S.J., Fiolka, R., Danuser, G., Direct Arp2/3-vinculin binding is essential for cell spreading, but only on compliant substrates and in 3D, BioRxiv, 2019
  • Mohan, A.S., Dean, K.M., Isogai, T., Kasitinon, S.Y., Murali, V.S., Roudot, P., Groisman, A., Reed, D.K., Welf, E.S., Han, S.J., Noh, J., and Danuser, G. (2019). Enhanced Dendritic Actin Network Formation in Extended Lamellipodia Drives Proliferation in Growth-Challenged Rac1P29S Melanoma Cells. Developmental Cell, 49(3), pp.444-460.
  • Manifacier I., Milan, J., Beussman, K., Han, S.J., Sniadecki, N.J., About, I (2019) The consequence of large-scale rigidity on actin network tension. In press. Comp Meth Biomech Biomed Eng, 2019 Oct;22(13):1073-1082.
  • Costigliola, N., Ding, L., Burckhardt, C.J., Han, S.J., Gutierrez, E., Mota, A., Groisman, A., Mitchison, T.J., and Danuser, G. (2017) Vimentin directs traction stress. PNAS2017 114 (20) 5195-5200.
  • Han, S.J., Rodriguez M.L., Al-Rekabi, Z., Sniadecki, N.J. (2016) Spatial and Temporal Coordination of Traction Forces in One-Dimensional Cell Migration, Cell Adhesion & Migration. 10(5): 529-539.
  • Oudin, M.J., Barbier, L., Schäfer, C, Kosciuk, T., Miller, M.A., Han, S.J., Jonas, O., Lauffenburger, D.A., Gertler, F.B. (2016) Mena confers resistance to Paclitaxel in triple-negative breast cancer. Mol Cancer Ther.DOI: 10.1158/1535-7163. MCT-16-0413. 
  • Milan,J., Manifacier, I., Beussman, K.M., Han, S.J., Sniadecki, N.J., About, I., Chabrand, P. (2016) In silico CDM model sheds light on force transmission in cell from focal adhesions to nucleus. J Biomechanics. 49(13):2625-2634. 
  • Lomakin. A.J., Lee, K.C., Han, S.J., Bui, A., Davidson, M., Mogilner, A., Danuser G. (2015) Competition for molecular resources among two structurally distinct actin networks defines a bistable switch for cell polarization, Nature Cell Biology. 17, 1435–1445
  • Han, S.J., Oak, Y., Groisman, A., Danuser, G. (2015) Traction Microscopy to Identify Force Modulation in Sub-resolution Adhesions, Nature Methods. 12(7): 653–656

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!


Call for Manuscripts: Fault Tolerance in Cloud/Edge/Fog Computing

Call for Manuscripts:

Special Issue on Fault Tolerance in Cloud/Edge/Fog Computing in Future Internet, an international peer-reviewed open access monthly journal published by MDPI.

Informational Flyer

https://blogs.mtu.edu/icc/files/2021/04/ali-ebnenasir-call-for-papers-032521-sm.pdf

Deadline

April 20, 2021

Author Notification

June 10, 2021

Website

mdpi.com/journal/futureinternet/special_issues/FT_CEFC

Collection Editors

Keywords

  • Fault tolerance
  • Cloud computing
  • Edge computing
  • Resource-constrained devices
  • Distributed protocols
  • State replication

Topics

Including, but not limited to:

  • Faults and failures in cloud and edge computing.
  • State replication on edge devices under the scarcity of resources.
  • Fault tolerance mechanism on the edge and in the cloud.
  • Models for the predication of service latency and costs in distributed fault-tolerant protocols on the edge and in the cloud.
  • Fault-tolerant distributed protocols for resource management of edge devices.
  • Fault-tolerant edge/cloud computing.
  • Fault-tolerant computing on low-end devices.
  • Load balancing (on the edge and in the cloud) in the presence of failures.
  • Fault-tolerant data intensive applications on the edge and the cloud.
  • Metrics and benchmarks for the evaluation of fault tolerance mechanisms in cloud/edge computing.

Background

The Internet of Things (IoT) has brought a new era of computing that permeates in almost every aspect of our lives. Low-end IoT devices (e.g., smart sensors) are almost everywhere, monitoring and controlling the private and public infrastructure (e.g., home appliances, urban transportation, water management system) of our modern life. Low-end IoT devices communicate enormous amount of data to the cloud computing centers through intermediate devices, a.k.a. edge devices, that benefit from stronger computational resources (e.g., memory, processing power).

To enhance the throughput and resiliency of such a three-tier architecture (i.e., low-end devices, edge devices and the cloud), it is desirable to perform some tasks (e.g., storing shared objects) on edge devices instead of delegating everything to the cloud. Moreover, any sort of failure in this three-tier architecture would undermine the quality of service and the reliability of services provided to the end users.

Scope

Theoretical and experimental methods that incorporate fault tolerance in cloud and edge computing, which have the potential to improve the overall robustness of services in three-tier architectures.

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website (https://www.mdpi.com/user/login/). Once you are registered, click here to go to the submission form (https://susy.mdpi.com/user/manuscripts/upload/?journal=futureinternet).

Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page.

Please visit the Instructions for Authors page before submitting a manuscript.

The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English.

Authors may use MDPI’s English editing service prior to publication or during author revisions.


Sangyoon Han Publishes Paper in eLife

eLife, a prestigious journal in cell biology, has published a paper co-written by Sangyoon Han, “Pre-complexation of talin and vinculin without tension is required for efficient nascent adhesion maturation.”

Dr. Han is an assistant professor in the Biomedical Engineering department, and a member of the Data Sciences research group of the Institute of Computing and Cybersystems (ICC).

View the paper here.

eLife is a non-profit organization created by funders and led by researchers. Their mission is to accelerate discovery by operating a platform for research communication that encourages and recognizes the most responsible behaviors.


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.