Category: ICC

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

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.

Our Stories: Dr. Robert Pastel, Assoc. Prof., Computer Science

This is part of a series of short introductions about College students, faculty, and staff that we would like to include in the Weekly Download. Would you like to be featured? Send a photo and some background info about yourself to computing@mtu.edu.

Dr. Robert Pastel, Associate Professor of Computer Science

  • Advisor to Humane Interface Design Enterprise (HIDE)
  • Has been teaching at Michigan Tech for about 20 years, and teaching for 30 years.
  • Researcher with the Human-Centered Computing group of the Institute of Computing and Cybersystems (ICC)

Education

  • PhD, University of New Mexico, Physics
  • MS, Computer Science, Michigan Tech

Faculty Profile


Classes Dr. Pastel teaches: 
o    CS5760 – Human-Computer Interaction – Usability Evaluation and Testing 
o    CS4791 and CS4792 – Senior Design
o    ENT1960 – ENT5960 – Humane Interface Design Enterprise

The “coolest” class you teach, and why: All my classes are “cool” because they all involve making applications that will be used by people. The “coolest” class is CS4760 – User Interface – Design and Implementation where students work with scientists across the world to make citizen science applications.

The importance of your class topics to the overall understanding of Computing and your discipline: In all my classes, students learn to design and implement usable applications for people.

Your teaching philosophy: My teaching philosophy is that students learn best by experience and working with others. Consequently students work in teams on project for clients. 

Research projects in which students are assisting: 

  • StreamCLIMES – Large collaborative project studying bio diversity of intermittent streams. I’m responsible for developing a web applications monitoring the stream.
  • FloodAware – Large collaborative project recording and modelling flooding in urban areas. I’m responsible for developing the citizen science effort.
  • KeTT – Keweenaw Time Traveler – Historical geospatial information citizen science website for user to record region’s history and explore the maps and stories. 

Interests beyond teaching and research: The outdoors: skiing, biking and hiking. Every summer, he takes a one-month backpacking trip. 

Visit with Dean Livesay … In Person!

Dr. Livesay’s open office hours are discontinued for the summer and will return in August. Have a fantastic summer!

College of Computing Dean Dennis Livesay holds open drop-in office hours every Friday from 3:00 to 4:00 p.m., when classes are in session.

And starting Friday, March 19, you can meet with Dean Livesay in person!

Drop-in office hours are now both virtual and in-person. Stop by Rekhi Hall Room 217.

All faculty, staff, and students who wish to chat with Dr. Livesay are invited to “stop in” to this weekly meeting. Appointments are not needed.

Summer Youth Programs (SYP): Topics in Computing

With extensive safety planning and health precautions underway, Michigan Tech Summer Youth Programs plans to offer in-person programs for summer 2021. Programs run weekly from June 21-August 7, 2021.

Registration is now open for 2021 Summer Youth Programs. Many classes are already full, but there are plenty more to choose from

Interested in computing-related classes? Below are SYP programs of particular interest.

Explore the SYP website and see all SYP classes here.

Computing Programs
Class Number Title Additional Cost Required Seats Available Grades Week
51400 App and Web Development: Designing for Humans 12 9 – 11 July 18 – July 24
51890 Coding for the Internet of Things See Course Details 12 9 – 11 July 11 – July 17
51678 Coding for the Internet of Things See Course Details 12 9 – 11 June 20 – June 26
52422 Introduction to Computational Physics 15 9 – 11 June 20 – June 26
51204 Introduction to Video Game Programming 12 6 – 8 June 27 – July 03
51541 Video Game Programming 7 9 – 11 July 18 – July 24
Engineering Programs
Class No. Class Title Add’l Costs Seats Avail. Grade Level Dates of Class
52409 AI & Machine Learning None 8 9-11 July 18 – July 24
52199 The Gaming Industry Wants You! None 6 9-11 June 27 – July 3
52410 Intro to the Perfect Machine None 7 6-8 July 18 – July 24
52412 The Perfect Machine None 20 9-11 July 11 – July 17
51909 Electrical and Computer Engineering See Course Details 7 9-11 June 27 – July 3
52092 Electrical and Computer Engineering See Course Details 11 9-11 June 20 – June 26
51190 Electrical and Computer Engineering See Course Details 5 9-11 July 11 – July 17
Scholarship Programs
51435 Women in Computer Science (WICS) None 17 9-11 June 27 – July 3
Science and Technology Programs
52199 The Gaming Industry Wants You! None 6 9-11 June 27 – July 3

CS Lecture: Kelly Steelman, CLS, March 19, 3 pm

The Department of Computer Science will present a lecture by Dr. Kelly Steelman, Cognitive and Learning Sciences, on Friday, March 19, 2021, at 3:00 p.m.

The title of the lecture is, “Keeping Up with Tech.”

Join the virtual lecture here.

Steelman is interim department chair and associate professor in the Department of Cognitive and Learning Sciences. Her research interests include basic and applied attention, models of attention, human performance in aviation, display design, tech adoption, and technology training.

Lecture Title

“Keeping Up with Tech”

Lecture Abstract

COVID has revealed much in the past year, including our dependence on technology and the challenges that many of us experience trying to keep up with it. Dr. Kelly Steelman has spent the past 15 years studying human attention and applying it to support the introduction of new technologies in contexts ranging from aviation to education.

In her presentation, Steelman will provide an overview of her research, using examples from Next Gen Aviation and the BASIC Digital Literacy Training Program to illustrate how understanding human attention can help us predict the consequences of introducing new technology, improve the design of technology, and support training to help people keep up with the rapid pace of technological change.


CS Dept. Lecture: Hongyu An, ECE, Friday, March 5

The Department of Computer Science will present a lecture by Assistant Professor Hongyu An, ECE, on Friday, March 5, 2021, at 3:00 p.m.

An’s lecture is titled, “Designing an Energy-Efficient Neuromorphic System through Two-Layer Memristive Synapses.”

An will introduce Brain-inspired Computing, an emerging approach for an energy-efficient artificial intelligent system through hardware and software co-design.

Join the virtual lecture here.

Lecture Title

Designing an Energy-Efficient Neuromorphic System through Two-Layer Memristive Synapses

Lecture Abstract

Recently, deep learning is suffering from the excessive-high power consumption issue, which cannot be resolved alone by software/algorithm optimization. In this talk, An will introduce an emerging concept named Brain-inspired Computing, which is an emerging approach for an energy-efficient artificial intelligent system through hardware and software co-design.

More specifically, An will introduce and discuss applying Three-dimensional Integrated Circuits (3D-ICs), Spiking Neural Networks (SNNs), and memristors to achieving a high-speed and energy-efficient system with the smallest design area. Our memristive synapses are utilized for storing the exported weights of the SNNs that have threshold function as the activation function. The simulation results demonstrate the significant improvement of memristive synapses on design area, power consumption, and latency.

Speaker Bio

Hongyu An is an assistant professor in the Department of Electrical and Computer Engineering at Michigan Technological University. He obtained his doctoral degree in electrical engineering at Virginia Tech. He received an M.S. degree and B.S. in electrical engineering at Missouri University of Science and Technology and Shenyang University of Technology, respectively.

He is the recipient of the 2021 Bill and LaRue Blackwell Graduate Research Ph.D. Dissertation/Paper Award and he was a DAC Young Fellow in 2020. His research areas include neuromorphic computing, energy-efficient neuromorphic electronic circuit design for Artificial Intelligence, spiking neural networks, and machine learning for medical applications.

An is a member of the Institute of Computing and Cybersystems’s (ICC) Center for Scalable Architectures and Systems (SAS).

Spend 1010 with Dean Dennis Livesay, Feb. 17, 5:30 pm

You are invited to spend one-zero-one-zero—that is, ten—minutes with Dr. Dennis Livesay on Wednesday, February 17, from 5:30 to 5:40 p.m. EST.

Dr. Livesay is the Dave House Dean of Computing and a professor in the Department of Applied Computing.

In this informal discussion, Dean Livesay will talk about his journey from chemist to engineer to informatician, with computing being the common thread.

He will also answer any questions you might have about the College of Computing at Michigan Tech.

We look forward to spending 1010 minutes with you!

Visit the 1010 with … webpage here.

Did you miss the January 20 “1010 with Tim Havens?” Watch the video below.