Decoupling translational and rotational effects on the phase synchronization of rotating helices The locomotion of swimming microorganisms often relies on synchronized motions; examples include the bundling of flagella and metachronal coordination of cilia. It is now generally accepted that such behavior can result from hydrodynamic interactions alone. In this paper we consider the interactions between…
Congrats to Tom Zajdel for a great job pulling this together. An analog electronics MOOC where you get to build a robot and learn basic EE.
I’ve been lax recently in updating our group site and more to come soon, but: 1) First data from Neural Dust effort now in JNM: Seo, D., Carmena, J. M., Rabaey, J. M., Maharbiz, M. M., & Alon, E. (2014). Model Validation of Untethered, Ultrasonic Neural Dust Motes for Cortical Recording. Journal of neuroscience methods.…
Some non-technical media; I post it because it presents a nice picture of why/how Jose Carmena and I worked with Wally Pfister on Transcendence (go see it!): http://www.latimes.com/entertainment/movies/moviesnow/la-et-mn-transcendence-movie-20140413,0,6032580.story#axzz2ybN4Fb7O
Nice job, Daniel! Galvanotactic control of collective cell migration in epithelial monolayers Daniel J. Cohen, W. James Nelson & Michel M. Maharbiz Nature Materials (2014) doi:10.1038/nmat3891 Abstract Many normal and pathological biological processes involve the migration of epithelial cell sheets. This arises from complex emergent behaviour resulting from the interplay between cellular signalling networks and…
Konlin is pursuing a Ph.D. in EECS at University of California, Berkeley with an emphasis in neuroengineering. He received his B.A. in Physics with a secondary in Computer Science from Harvard University in 2013. His undergraduate research focused on how simple organisms such as C. elegans and fruit flies integrate sensory stimuli into motor behavior.
Check it out! V. G. Krishnan, V. Romanin, V. P. Carey, and M. M. Maharbiz, “Design and scaling of microscale Tesla turbines,” J. Micromechanics Microengineering, vol. 23, no. 12, p. 125001, 2013. doi:10.1088/0960-1317/23/12/125001
Jonathan comes to us from Princeton University, where he recently received a Ph. D. in Mechanical and Aerospace Engineering. His Ph. D research centered on the theory and applications of a numerical method called dynamic mode decomposition, which is used in the fluid mechanics community to analyze high-dimensional datasets that describe nonlinear dynamics. Prior to…
Maharbiz Group 