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P.J. Collins is an Assistant Professor in the Department of Advanced Computing Sciences at Maastricht University, where he has been a faculty member since January 2011. He holds a Ph.D. in Applied Mathematics from the University of California, Berkeley, obtained in 1999. His primary research interests include formal methods for analysis and verification of nonlinear hybrid dynamic systems, alongside the mathematical analysis of chaotic dynamical systems. Collins is one of the main developers of Ariadne, a C++/Python library focusing on formal verification for cyber-physical systems, in collaboration with the University of Verona. His scientific contributions also explore areas such as topological methods for computational symbolic abstractions and the rigorous calculation in systems biology, particularly in electrophysiology and cardiac myocytes. He has extensive experience in software expertise, focusing on various topics including topological dynamics, control systems theory, and computability in the realms of hybrid systems. Throughout his career, Collins has held several research positions in renowned institutions, contributing significantly to the fields of mathematics and computer science, as evident from his project involvements and research collaborations.
Maastricht University • Maastricht, Netherlands
Teaching and conducting research in applied mathematics, focusing on nonlinear hybrid dynamic systems.
Dipartimento di Informatica, Universita degli Studi di Verona • Verona, Italy
Engaged in research on computational methods and algorithms.
Centrum voor Wiskunde en Informatica • Amsterdam, Netherlands
Worked on projects funded by the NWO Vernieuwingsimpuls Vidi grant.
Centre Mathematics Computer Science • Amsterdam, Netherlands
Focused on computation and control of hybrid systems.
Department of Mathematical Sciences, University of Liverpool • Liverpool, UK
Conducted lectures and research supported by a Leverhulme Special Research Fellowship.
The School of Business and Economics (SBE) encompasses departments like Organization, Strategy, Entrepreneurship, Finance, and Economics.