Hanliang Guo

Welcome

My new site is available here.

I am broadly interested in the fields of biological fluid mechanics and active matter.

I develop reduced-order models and fast numerical algorithms for low Reynolds number fluid problems related to biology and human health.

I am also passionate about teaching applied math and engineering courses.

I have been working as a Postdoctoral Assistant Professor in the math department at the University of Michigan, Ann Arbor since September 2018, working with Professor Shravan Veerapaneni. I obtained my PhD in Mechanical Engineering at the University of Southern California (USC) in 2017, advised by Professor Eva Kanso.

You are welcome to check out my CV, google scholar, and research gate profiles.

News

  • Feb 2022: The LoG(M) group I mentored in Fall 2021, a group of four passionate undergraduate students, submitted their work to SIAM undergraduate research online. Big congrats to Jenny, Xinyue, Nicole, and Wanting - I am proud of you! Check out the preprint here.

  • Aug 2021: Our paper Optimal ciliary locomotion of axisymmetric microswimmers is accepted to the Journal of Fluid Mechanics!

  • Jul 2021: The mini-symposium "Numerical Methods for Incompressible Fluid Systems" at AN21 will meet on Monday, July 19 2021. It is a two-part series: MS10 and MS32. Hope to see you there!

  • Jun 2021: I published a Matlab app, Xlip, that solves the optimal axisymmetric slip profile of any user-defined shape in seconds! Download now from Mathworks File Exchange!

  • Mar 2021: We submitted our paper Optimal ciliary locomotion of axisymmetric microswimmers.

  • Feb 2021: I presented my research Modeling ciliary flow in complex geometries at Applied Math Seminar at the Central Michigan University.

Focused Research Areas

Publications

  1. Optimal ciliary locomotion of axisymmetric microswimmers. Hanliang Guo*, Hai Zhu, Ruowen Liu, Marc Bonnet, Shravan Veerapaneni. Journal of Fluid Mechanics (2021). [arXiv] [Publisher] (open access) (*: corresponding author)

  2. Intracellular coupling modulates biflagellar synchrony. Hanliang Guo, Yi Man, Kirsty Wan, Eva Kanso. Journal of the Royal Society Interface (2021). [arXiv][Publisher]

  3. Optimal slip velocities of micro-swimmers with arbitrary axisymmetric shapes. Hanliang Guo, Hai Zhu, Ruowen Liu, Marc Bonnet, Shravan Veerapaneni. Journal of Fluid Mechanics (2021). [arXiv][Publisher] (open access)

  4. Simulating cilia-driven mixing and transport in complex geometries. Hanliang Guo, Hai Zhu, Shravan Veerapaneni. Physical Review Fluids (2020). [arXiv][Publisher]

  5. Instability-driven Oscillations of Elastic Microfilaments. Feng Ling, Hanliang Guo, Eva Kanso. Journal of The Royal Society Interface (2018). [arXiv][Publisher]

  6. Bistablility in the synchronization of actuated microfilaments. Hanliang Guo, Lisa Fauci, Michael Shelley, Eva Kanso. Journal of Fluid Mechanics (2018). [arXiv][Publisher]

  7. Motile cilia create fluid-mechanical microhabitats for the active recruitment of the host microbiome. Janna Nawroth*, Hanliang Guo*, Eric Koch, Elizabeth A. Heath-Heckman, John C. Hermanson, Edward Ruby, John Dabiri, Eva Kanso, Margaret McFall-Ngai. Proceedings of the National Academy of Sciences (2017). (*: equal contribution) [Publisher]

  8. A computational study of mucociliary transport in healthy and diseased environments. Hanliang Guo, Eva Kanso. European Journal of Computational Mechanics (2017). [arXiv][Publisher]

  9. Evaluating efficiency and robustness in cilia design. Hanliang Guo, Eva Kanso. Physical Review E (2016). [arXiv][Publisher]

  10. Cilia beating patterns are not hydrodynamically optimal. Hanliang Guo, Janna Nawroth, Yang Ding, Eva Kanso. Physics of Fluids (2014). [arXiv][Publisher]

  11. Inferring the Temporal Order of Cancer Gene Mutations in Individual Tumor Samples. Jun Guo, Hanliang Guo, Zhanyi Wang. PLOS ONE (2014). [Publisher]

  12. An Activation Force-based Affinity Measure for Analyzing Complex Networks. Jun Guo, Hanliang Guo, Zhanyi Wang. Scientific Reports (2011). [Publisher]

Software

Xlip

This Matlab App solves the optimal slip profile of axisymmetric microswimmers with user-defined shape. Such a slip profile minimizes the power loss of the active microswimmer swimming at unit speed. The algorithm is documented in the paper "Optimal slip velocities of micro-swimmers with arbitrary axisymmetric shapes" (https://doi.org/10.1017/jfm.2020.969).

Matlab users: The app can be directly installed into your Matlab App library. Download the installation file at Mathworks File Exchange.

No Matlab, no sweat: The app can be downloaded and installed as a stand-alone app. The installation file will download the Matlab runtime automatically. [stand-alone apps]

Teaching

University of Michigan*

Fall 2021: MATH 156 Applied Honors Calculus II (two sections: 4.8/5.0, 4.6/5.0)

Winter 2021 (online due to pandemic): MATH 371 Numerical Methods (5.0/5.0)

Fall 2020 (online due to pandemic): MATH 156 Applied Honors Calculus II (two sections: 4.9/5.0, 4.7/5.0)

Winter 2020: MATH 285 Honors Multivariable & Vector Calculus ( 4.6/5.0)

Fall 2019: MATH 156 Applied Honors Calculus II (two sections: 4.9/5.0, 4.8/5.0)

Winter 2019: MATH 285 Honors Multivariable & Vector Calculus ( 4.3/5.0)

Fall 2018: MATH 115 Calculus I (two sections: 4.8/5.0, 4.4/5.0)

*: All courses conducted as a primary instructor. Student evaluations indicated by the scores at the end.

University of Southern California

Spring 2018: AME 599 Mechanics of Locomotion in Air, Water, and on Land (Guest lecturer) (notes)

Spring 2014: AME 525 Engineering Analysis (Teaching Assistant)

Fall 2013: AME 525 Engineering Analysis (Teaching Assistant)

Mentorships

I have been fortunate enough to mentor many talented junior graduate and undergraduate students.

I am currently co-mentoring (with Yabin Zhang) an undergraduate research team (Akash Narayanan, Xiuru Ruan, and Zhuoyu Zhu) investigating different numerical interpolation schemes.

In the Fall 2021 semester, I mentored a group of four passionate undergraduate students (Jenny Jin, Nicole Surgent, Wanting Huang, and Xinyue Qie). They worked on leveraging machine learning techniques to classify microswimmer types (pusher, puller, neutral). The results are summarized in this paper currently under consideration for SIURO.

In the Winter 2021 semester, a group of three awesome undergraduate students at Michigan (Lisbon Wu, Rahmy Salman, and Bohan Xu) worked on the research project "Flow in Confined Geometry". They published their results (and codes) in this website. The Matlab App is available in Matlab Central. Check it out!