This page is in development as information is sent. ALEX HANSEN Statistical physics, complex systems, fluid mechanics, solid mechanics, flow in porous media, fracture and breakdown phenomena. Personal home page: http://folk.ntnu.no/alexh JOAN ADLER Atomistic Simulations and Visualizations, Computational Statistical Physics, Series Expansions, Percolation, Computational Physics Education Current member of Editorial Board of CiCP and Specialist Editor of Computer Physics Communications DAVID LANDAU My research interests include developing new computer simulation algorithms and performing large scale simulations of soft and hard condensed matter systems. We have used "traditional" as well as generalized ensemble Monte Carlo methods and have devised the algorithm now known in the community as Wang-Landau sampling. These Monte Carlo methods have been used to examine both static and kinetic behavior of a variety of models undergoing phase transitions with an emphasis on critical and multicritical behavior. We have also examined models for binary alloys, for film growth, for critical wetting, and for soil mechanics. Most recently we have been simulating single chain polymer and protein models to elucidate generic behavior as they collapse or fold. Spin dynamics methods have been developed and used to study true dynamics in magnetic solids including magnetic nanostructures. As founding Director of the Center for Simulational Physics at the U. of Georgia, I have organized an annual Workshop series that begins its 2nd quarter century in 2013. I have developed and regularly teach three courses in computational physics: An undergraduate course on computational physics, a graduate course on Monte Carlo methods, and a separate graduate course on molecular dynamics methods. I am a Principal Editor for /Computer Physics Communications/, an Associate Editor for the /International Journal of Modern Physics C/, a member of the Editorial Board for /Computing in Science and Engineering/ and for the /Journal of Statistical Mechanics: Theory and Experiment/. NITHAYA CHETTY My personal research interests: Computational solid state physics using density functional techniques, Computational Statistical Physics and Computational Physics Education Research. RONALD DICKMAN My principal areas of research are statistical physics, polymer physics, theory of liquids, phase transitions, critical phenomena, far-from- equilibrium systems, and stochastic processes. I employ a variety of theoretical and computational techniques, including cluster approx- imations, Monte Carlo simulations, series expansions, and numerical analysis of master equations and stochastic partial differential equations. I regularly teach Computational Methods, Hydrodynamics, and Physics of Climate for undergraduates, and Simulation Methods, Phase Transitions, and Statistical Mechanics for our graduate students. The latter course always includes two simulation projects. I have been an Associate Editor at Physical Review for the last five years. dickman@fisica.ufmg.br Departamento de Fםsica, ICEx Universidade Federal de Minas Gerais, and National Institute of Science and Technology for Complex Systems Caixa Postal 702, 30161-970 Belo Horizonte, Minas Gerais Brazil GIOVANNI CICCOTTI https://abaddon.phys.uniroma1.it/index.php/group-members/gciccotti where there is a short statement about activity. Further to that, in https://abaddon.phys.uniroma1.it/index.php/research there is also a kind of a poster indicating my main recent research themes. JOAQUIN MARRO • Statistical Physics of Condensed Matter: theory of phase transitions and critical phenomena, nonequilibrium steady states, complex systems, cooperative behaviour, stochastic processes. • Computational Physics: Monte Carlo and Molecular Dynamics, numerical analysis, modelling and simulation of systems and processes. • Kinetic theory: kinetic and master equations, correlation functions, integral equations, fluids. • Key Words: statistical mechanics, solid state physics (cooperative properties), magnetism, lattice models, disordered and impure systems, complex systems, reaction-diffusion systems, fast ionic conductors, alloys, neural networks. See details at http://ergodic.ugr.es/jmarro/