معرفی
Dr. Jonathan Jordan is a Senior Lecturer in Probability at the University of Sheffield's School of Mathematical and Physical Sciences, affiliated with the Probability Group within the School of Mathematics and Statistics. He holds a DPhil from the University of Oxford, following studies at the University of Cambridge. His research focuses on probability theory, particularly random graphs (including preferential attachment models), reinforced processes, and fractal graphs. He teaches courses such as MAS113 (Introduction to Probability and Statistics) and MAS223 (Statistical Modelling and Inference). His work explores geometric preferential attachment networks, phase transitions, and multi-type network dynamics. He has published extensively in journals like the Electronic Journal of Probability and Random Structures and Algorithms. His research has addressed topics such as condensation phenomena, non-convergence in multi-type networks, and spatial network models.
Dr. Jordan's research group is part of the Probability Group at Sheffield, and his work has applications in theoretical computer science and complex systems. He has supervised PhD topics involving random graph models and has collaborated on projects like the Amorph initiative. His academic background includes a shift from Bristol to Oxford during his PhD, followed by his current role at Sheffield since 2003. His research interests also extend to fractal geometry, including spectral properties of fractal graphs and spectral decimation techniques.
Teaching responsibilities include undergraduate courses in probability and statistics, reflecting his expertise in foundational mathematical concepts. His publications span over two decades, showcasing contributions to both theoretical and applied aspects of random networks and stochastic processes. He maintains an active research profile, with ongoing interests in network evolution, geometric models, and interdisciplinary applications.
