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Oliver M. O’Reilly is a professor of mechanical engineering at the University of California, Berkeley (UC Berkeley). His research interests lie in continuum mechanics and nonlinear dynamics, specifically in the dynamics of rigid bodies and particles, Cosserat and directed continuua, dynamics of rods, history of mechanics, and vehicle dynamics. Oliver has co-authored over 100 archival publications and the textbooks Engineering Dynamics: A Primer (Third Edition, Springer, 2019), Intermediate Dynamics For Engineers: A Treatment of Newton-Euler and Lagrangian Mechanics (Second Edition, Cambridge University Press, 2020), A Primer on the Kinematics of Discrete Elastic Rods (Springer, 2018), and Modeling Nonlinear Problems in the Mechanics of Strings and Rods (Springer, 2017).He is the recipient of several teaching awards, including UC Berkeley’s Distinguished Teaching Award in 1999, the Pi Tau Sigma Professor of the Year Award in 2003, and the Tau Beta Pi Outstanding Faculty of the Year Award in 2013.

Daniel T. Kawano is an associate professor of mechanical engineering at Rose-Hulman Institute of Technology in Terre Haute, Indiana. He teaches courses in dynamics, vibration, and MATLAB programming.  His research and professional interests include decoupling algorithms for second-order linear dynamical systems and their associated quadratic matrix polynomials; nonlinear dynamics; and rigid-body dynamics of multi-body systems. Daniel is co-author of the textbook Engineering Mechanics: Dynamics (Wiley, 2017) and the recipient of the 2016 Outstanding New Mechanics Educator Award from the Mechanics Division of the American Society for Engineering Education.

Alyssa Novelia received her bachelor’s (2012), master’s (2015) and PhD (2018) degrees in mechanical engineering from UC Berkeley under the advise of Professor O’Reilly. Her research interests at UC Berkeley lay primarily in nonlinear dynamics of rigid bodies and continua. Presently, Alyssa is a PostDoc at the University of Waterloo.

Brian Muldoon received his Bachelor’s degree in mechanical engineering from Texas A&M University in 2019 and is currently pursuing an M.S./Ph.D. under the advisory of Professor O’Reilly in computational mechanics and dynamics. His research and professional interests lie in non-linear dynamics, differential geometry, non-linear finite elements, and contact mechanics. Brian was a recipient of the National Science Foundation Graduate Research Fellowship in 2020 and has served as a Graduate Student Instructor for Engineering Materials and Electronics for the Internet of Things courses at UC Berkeley.


Prithvi Akella  was an undergraduate student in mechanical engineering at UC Berkeley. He graduated in 2018 with a BS degree in Mechanical Engineering. Prithvi is currently enrolled as a PhD student at the California Institute of Technology.

Andreas Hansen received his master’s degree from the Technische Universität Hamburg-Harburg (TUHH) in Germany and is a former doctoral student in the Vehicle Dynamics & Control Laboratory at UC Berkeley. He received his Ph.D in 2017 while working under the late Professor J. Karl Hedrick. Andreas’ primary research emphasis entailed studying the fields of nonlinear systems, real-time optimization, and control of ground vehicles.

Tung Phan is a Jack Kent Cooke scholar who graduated from UC Berkeley with bachelor’s degrees in mechanical engineering and nuclear engineering. He is a recipient of the Class of 2015 Nuclear Engineering Departmental Citation and, starting in September 2015, enrolled as a doctoral student in mechanical engineering at the California Institute of Technology. Tung’s academic interests cover mechanics, controls, and dynamics.


The editors are grateful to the following individuals for their collaborations and/or constructive comments:

Major portions of the text used in this website are adapted with permission from the textbook Intermediate Dynamics for Engineers: A Unified Treatment of Newton-Euler and Lagrangian Mechanics by Oliver M. O’Reilly. The editors are also grateful to their home institutions:

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