Prof. Bruce Michael Boghosian is an American mathematician. He has been a Professor of Mathematics at Tufts University [1] since 2000, and served as chair of Mathematics there from 2006 to 2010. He also holds adjunct positions in the Tufts University Departments of Physics and Computer Science.
Boghosian's research interests center on applied dynamical systems and applied probability theory, with an emphasis on kinetic theory, as it applies to fluids, soft condensed matter, and agent based models in the social sciences. From 2014 to the present, his work has centered on kinetic-theoretical models of wealth distribution. [2] [3] [4] [5] [6]
Boghosian received his bachelor's degree in physics and master's degree in nuclear engineering from the Massachusetts Institute of Technology. He earned his Ph.D. from the Department of Applied Science at the University of California, Davis.
From 1978 to 1986, he was a Physicist in the Plasma Theory Group at the Lawrence Livermore National Laboratory in California.
From 1986 through 1994, he was a Senior Scientist in the Mathematical Research Group at Thinking Machines Corporation in Cambridge, Massachusetts.
From 1994 through 2000, prior to coming to Tufts University, Boghosian held the position of Research Associate Professor at the Center for Computational Science and Department of Physics at Boston University.
From 2010 to 2014, while on leave from Tufts University, Boghosian served as the third president of the American University of Armenia in Yerevan, Armenia. During that time, he oversaw the creation, accreditation and inauguration of the undergraduate program at AUA—the first American-accredited bachelor program in the former Soviet Union.
Boghosian has held visiting academic positions at the Département de Mathématiques, Paris-Sud University in Orsay, France; the École normale supérieure in Paris, France; Peking University in Beijing, China; University College London; the University of California, Berkeley; the International Centre for Theoretical Physics in Trieste, Italy; the Schlumberger Cambridge Research Centre in Cambridge, United Kingdom; and the Massachusetts Institute of Technology.
Boghosian has been a fellow of the American Physical Society since 2000, and a foreign member of the Armenian National Academy of Sciences [7] since 2008. He is a recipient of Tufts University's Distinguished Scholar Award in 2010, and its Undergraduate Initiative in Teaching (UNITE) award in 2002. In 2014 he received the "Order of the Republic of Armenia" from the Armenian Prime Minister, and the "Gold Medal" from the Armenian Ministry of Education and Science. His 2019 article "The Inescapable Casino" [8] was published in six languages, and included in the volume "The Best Writing on Mathematics 2020". [9]
Boghosian has over 110 publications, has given over 220 invited talks, and has one patent. He is a member of the editorial boards of the Journal of Computational Science, [10] Physica A, and International Journal of Modern Physics C – Physics and Computers. [11]
Hypercomputation or super-Turing computation is a set of models of computation that can provide outputs that are not Turing-computable. For example, a machine that could solve the halting problem would be a hypercomputer; so too would one that can correctly evaluate every statement in Peano arithmetic.
Econophysics is a non-orthodox interdisciplinary research field, applying theories and methods originally developed by physicists in order to solve problems in economics, usually those including uncertainty or stochastic processes and nonlinear dynamics. Some of its application to the study of financial markets has also been termed statistical finance referring to its roots in statistical physics. Econophysics is closely related to social physics.
Self-organized criticality (SOC) is a property of dynamical systems that have a critical point as an attractor. Their macroscopic behavior thus displays the spatial or temporal scale-invariance characteristic of the critical point of a phase transition, but without the need to tune control parameters to a precise value, because the system, effectively, tunes itself as it evolves towards criticality.
Peter V. Coveney is a Professor of Physical Chemistry, Honorary Professor of Computer Science, and the Director of the Centre for Computational Science (CCS) and Associate Director of the Advanced Research Computing Centre at University College London (UCL). He is also a Professor of Applied High Performance Computing at University of Amsterdam (UvA) and Professor Adjunct at the Yale School of Medicine, Yale University. He is a Fellow of the Royal Academy of Engineering and Member of Academia Europaea. Coveney is active in a broad area of interdisciplinary research including condensed matter physics and chemistry, materials science, as well as life and medical sciences in all of which high performance computing plays a major role. The citation about Coveney on his election as a FREng says: Coveney "has made outstanding contributions across a wide range of scientific and engineering fields, including physics, chemistry, chemical engineering, materials, computer science, high performance computing and biomedicine, much of it harnessing the power of supercomputing to conduct original research at unprecedented space and time scales. He has shown outstanding leadership across these fields, manifested through running multiple initiatives and multi-partner interdisciplinary grants, in the UK, Europe and the US. His achievements at national and international level in advocacy and enablement are exceptional".
A quantum cellular automaton (QCA) is an abstract model of quantum computation, devised in analogy to conventional models of cellular automata introduced by John von Neumann. The same name may also refer to quantum dot cellular automata, which are a proposed physical implementation of "classical" cellular automata by exploiting quantum mechanical phenomena. QCA have attracted a lot of attention as a result of its extremely small feature size and its ultra-low power consumption, making it one candidate for replacing CMOS technology.
Stephen Ray Wiggins is a Cherokee-American applied mathematics researcher and distinguished educator, also of British heritage, best known for his contributions in nonlinear dynamics, chaos theory and nonlinear phenomena. His wide contributions include Lagrangian aspects of fluid dynamics and reaction dynamics in theoretical chemistry.
Randall J. LeVeque is a Professor of Applied Mathematics at University of Washington who works in many fields including numerical analysis, computational fluid dynamics, and mathematical theory of conservation laws. Among other contributions, he is lead developer of the open source software project Clawpack for solving hyperbolic partial differential equations using the finite volume method. With Zhilin Li, he has also devised a numerical technique called the immersed interface method for solving problems with elastic boundaries or surface tension.
Kinetic exchange models are multi-agent dynamic models inspired by the statistical physics of energy distribution, which try to explain the robust and universal features of income/wealth distributions.
Quantum finance is an interdisciplinary research field, applying theories and methods developed by quantum physicists and economists in order to solve problems in finance. It is a branch of econophysics.
Alexander Nikolaevich Gorban is a scientist of Russian origin, working in the United Kingdom. He is a professor at the University of Leicester, and director of its Mathematical Modeling Centre. Gorban has contributed to many areas of fundamental and applied science, including statistical physics, non-equilibrium thermodynamics, machine learning and mathematical biology.
Dwight Barkley is a professor of mathematics at the University of Warwick.
Social physics or sociophysics is a field of science which uses mathematical tools inspired by physics to understand the behavior of human crowds. In a modern commercial use, it can also refer to the analysis of social phenomena with big data.
Vladimir Nikolajevich Pokrovskii is a Russian scientist known for his original contributions to polymer physics and economic theory. He was the founder of the Altai school of dynamics of nonlinear fluids.
Ganesh Bagler is known for his research in computational gastronomy, an emerging data science of food, flavors and health. By blending food with data and computation he has helped establish the foundations of this niche area. Starting with the investigation of food pairing in the Indian cuisine, his lab has contributed to computational gastronomy with studies on culinary fingerprints of world cuisines, culinary evolution, benevolent health impacts of spices, and taste prediction algorithms.
Beresford Neill Parlett is an English applied mathematician, specializing in numerical analysis and scientific computation.
Serafim Kalliadasis is an applied mathematician and chemical engineer working at Imperial College London since 2004.
JinqiaoDuan is a professor of mathematics at Illinois Institute of Technology, Chicago, USA.
