Reviewer Board
Members of the reviewer board are selected from all Entropy reviewers for regularly providing timely high quality reports on submitted manuscripts. Responsibilities of reviewers are available here.
Members
Interests: plasma physics; magnetic confinement fusion; waves in plasmas; theory and modelling of fusion plasmas; irreversible process; friction in thermodynamics; statistical physics; kinetic theory; wigner function/distribution
Interests: information theory and its applications to source coding; multimedia data compression
Interests: ergodic theory of dynamical systems: transfer operators and thermodynamic formalism; systems with infinite invariant measure; links with number theory
Interests: medical signal analysis; medical image analysis; machine learning
Interests: heat and mass transfer; CFD; renewable energy sources; heat exchangers; steam boilers
Interests: quantum information; quantum cryptography; quantum computing; foundations of quantum mechanics; movement science
Interests: quantum physics; atomic; molecular and optical physics; ultracold quantum gases; bose-einstein condensates
Interests: error-correcting codes; lattices and sphere packing; information theory; communication theory
Interests: plasmonics; nonlinear optics; quantum optics; quantum information; quantum communication; quantum computing; quantum cryptography
Interests: bounds for codes; error-correcting codes; spherical codes; spherical designs; energy of codes
Interests: thermodynamic geometry; mathematical physics; thermodynamics; statistical physics; general relativity and cosmology; black holes physics; information geometry; statistical mechanics; Hamiltonian dynamics; dynamical systems
Interests: gravity theories; mathematics; thermodynamic of black holes
Interests: open quantum systems; quantum thermodynamics; quantum computation
Interests: data mining; classification; privacy; security; medical data; technologies in tourism
Interests: statistical mechanics; information theory; network science; computational neuroscience; control theory
2. Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba 5000, Argentina
Interests: electronic transport in mesoscopic systems; nano-electromechanical systems; Decoherence; quantum statistical methods; time-dependent quantum transport; quantum pumping; quantum motors; current-induced forces; plasmonics; non-Hermitian Hamiltonian; spaser
Interests: synchronization correcting codes; error correcting codes
2. Alicante Institute for Health and Biomedical Research (ISABIAL), 03010 Alicante, Spain
Interests: motor control; motor learning; motor variability; nonlinear analysis
2. CONICET, Centro Atómico Bariloche, Av. E. Bustillo 9500, Bariloche CP8400, Argentina
Interests: stochastic processes; disorder; non-equilibrium statistical mechanics
Interests: information theory; computational neuroscience; neural coding; neural communication; functional connectivity, granger causality; network science; eeg analysis in epilepsy
Interests: planning and design of photovoltaic systems; analog electronic; active and passive solar engineering; nonlinear systems
Interests: statistical learning; high-dimensional data modeling; time series forecasting; singular spectrum analysis; robust statistics
Interests: spacecraft navigation; integrated navigation; vision-based navigation; inertial navigation; GNSS-based navigation
Interests: statistical physics; field theory; neuromorphic circuits; memristors
Interests: Gromov hyperbolic spaces; topological indices; graph polynomial; graph theory
Interests: noncommutative quantum electrodynamics; generalized quantum electrodynamics; relativistic quantum mechanics; soft condensed matter physics
Interests: quantum chaos; quantum open systems; complex systems
Interests: discrete-time Markov chains; continuous-time Markov chains; fault-tolerant systems
Interests: machine learning; biomedical signal processing; neuroimage
2. London Mathematical Laboratory, 8 Margravine Gardens, London W6 8RH, UK
Interests: random matrix theory; spin glasses and neural networks; machine learning; brownian motion; bayesian inference