Han Slot is a Full Professor at the Department of Mathematics and Computer Science, Eindhoven University of Technology. His research focuses on theoretical polymer physics and step-growth polymerization processes, with applications in materials science and soft matter systems. He specializes in developing mathematical models to describe molecular architectures, phase behavior, and structural properties of polymers. Key areas: polymerization kinetics, microphase separation, and statistical mechanics of complex fluids Current educational activities include courses on asymptotic techniques, tensor calculus, and differential geometry Recent work investigates branching dynamics in multi-functional monomer systems, semi-flexible diblock copolymer self-assembly, and thermal-mechanical behavior of fiber-reinforced composites. His research combines analytical methods with numerical simulations to predict material properties at molecular and mesoscopic scales. Publications emphasize bivariate distribution analysis, Landau free energy theory, and polymer network characterization Actively collaborates with industry via Dutch Polymer Institute-funded projects
Ronnie Pedersen is a Part-time Lecturer at Aalborg University's Faculty of Engineering and Science, specifically within the Esbjerg Energy Section. His research focuses on wind turbine engineering, computational mechanics, structural dynamics, and pedagogical methods in university teaching. He has contributed to projects like the Structural Assessment of Operational Offshore Wind Turbines (2018-2021), serving as Project Coordinator. His work intersects energy systems with technical disciplines, including aerodynamics, material modeling, and aeroelasticity. Notable contributions include mesoscopic modeling of porous concrete behavior under impact and closed-loop wind turbine model updates using blade pitch excitation. Pedersen also engages in educational research related to engineering pedagogy and university teaching methodologies. Key Research Areas: Offshore wind turbine structural assessment, fatigue analysis, computational modeling, and engineering education. Recent Projects: Structural Assessment of Operational Offshore Wind Turbines (2018-2021). Publications span structural health monitoring, material failure analysis, and offshore foundation design. His work emphasizes practical applications in energy infrastructure and engineering education.
Shuqi Wang is a Doctoral Assistant at the Computational Neuroscience Laboratory (LCN) within the Brain Mind Institute (BMI) of the School of Life Sciences at Swiss Federal Institute of Technology in Lausanne (EPFL), holding dual staff appointments across the School of Life Sciences (SV) and School of Computer and Communication Sciences (IC). Wang simultaneously pursues doctoral studies in the Doctoral Program in Computer and Communication Sciences (EDIC), reflecting deep interdisciplinary engagement between neuroscience and computational disciplines. Research focuses on adapting machine learning for neural data analysis, specifically characterizing neural activity structure/properties in response to task inputs and reconstructing neural circuits from extracellular recordings. This work bridges theoretical neuroscience with advanced computational methods to decode neural coding principles and circuit organization, emphasizing high-dimensional neural representations and experience-dependent plasticity mechanisms. Recent publications (2021-2025) reveal consistent innovation in applying machine learning to neuroscience challenges, including neural coding hierarchies, inhibitory circuit reorganization, manifold learning in recurrent networks, and differentiable neural simulation. These contributions demonstrate expertise in spiking network modeling, statistical inference of neural data, and developing computational frameworks that integrate theoretical neuroscience with cutting-edge machine learning. Wang operates within EPFL's Computational Neuroscience Laboratory (LCN), a cross-school initiative between Life Sciences and Computer Science that develops mathematical models of neural computation under Professor Wulfram Gerstner's leadership. The lab's collaborative environment fosters work on neural dynamics, learning algorithms, and brain-inspired computing through strong ties to BMI and IINFCOM.
Amand Lucas is a distinguished academic with a focus on materials science and nanotechnology. His research spans condensed matter physics, computational electronics, and molecular catalysis. He has led significant projects such as FULPROP (Electronic Structure and Physical Properties of Novel Fullerene-based Materials) and PAI-P3/49 (Sciences of Interfacial and Mesoscopic Structures). His work encompasses broad disciplines including Carbon Nanotubes Phonon Excitations Electron Energy Loss Spectrometry Zeolite Simulations Molecular Sieves The trends in his recent publications highlight interdisciplinary applications of nanotechnology and computational methods in understanding material properties, particularly in DNA-based electronics and ion-surface interactions. His research outputs are highly cited, particularly in surface science and nanostructured materials. Collaborations with experts like J.P. Vigneron and P. Lambin, alongside contributions to journals such as Physical Review Letters and Journal of Molecular Catalysis , underscore his active role in advancing physical sciences. He has also authored a biographical note in memory of J.P. Vigneron in the Nouvelle Biographie Nationale (2020).
Pietro Asinari is a Full Professor at the Department of Energy (DENERG) of Politecnico di Torino and President of the Italian National Institute for Metrology Research (INRiM) since 2025. He is a member of the European Council for Material Modeling (EMMC), OpenKIM Advisory Board, and the Executive Committee of the Italian Union of Thermo-fluid Dynamics (UIT). His work bridges energy sustainability, materials science, and computational engineering. Summa cum laude in Mechanical Engineering (2001) Ph.D. in Energetics (2005), Virginia Tech collaboration ENI-Italgas Award for Energy and Environment (2006) His research focuses on energy and environmental sustainability with emphasis on renewable energy for water production , heat and mass transfer in energy devices , and multi-scale materials modeling . He integrates coarse-grained molecular dynamics , lattice Boltzmann methods , and quantum computing to address challenges in solar desalination, thermal storage, and nanomaterials. His team’s work spans from atomistic simulations to industrial applications . His recent publications highlight AI-driven materials optimization , 3D-printed composites , and nanofluid-based solar systems . He leads international collaborations with MIT, Argonne National Lab, and Imperial College. As Principal Investigator, he secured 21 projects (5 H2020 PI, 7 H2020 Unit Leader) and supervised 14 PhD students. 2001: Premio 'Optime', Unione Industriale di Torino 2006: ENI-Italgas Prize 2007: Premio UIT per la miglior tesi di dottorato He serves on editorial boards of Heliyon Energy and Computation , and held leadership roles in the 'Alta Scuola Politecnica' honor program. His lab, SMaLL, develops solar-driven desalination and thermal energy storage solutions.
Steven Girvin is the Sterling Professor of Physics and Professor of Applied Physics at Yale University, where he is a leading theoretical physicist in quantum information science. He is affiliated with the Yale Quantum Institute (YQI), the Department of Applied Physics, and the Condensed Matter Theory group. He also serves as a Member and Founding Director of the Co-Design Center for Quantum Advantage at Brookhaven National Laboratory. Research Interests: His work spans quantum information science, quantum optics, and theoretical condensed matter physics. He is best known for co-developing circuit QED, the foundational architecture for superconducting quantum computers. His research includes quantum error correction, fault tolerance, quantum phase transitions, mesoscopic physics, and the quantum Hall effect. He actively collaborates with experimentalists such as Robert Schoelkopf and Michel Devoret. Recent Research Trends: The most recent articles and lecture notes highlight a sustained focus on quantum error correction, fault-tolerant quantum computing, and quantum simulation. His work bridges theoretical depth with practical engineering, especially in superconducting qubit systems. He also emphasizes education and public engagement through accessible lectures and textbooks. Oliver E. Buckley Prize (2007) – For work on the fractional quantum Hall effect. Honorary Degree from Chalmers University (2017) – For contributions to circuit QED. Member, US National Academy of Sciences Foreign Member, Royal Swedish Academy of Sciences Advising and Grants: Professor Girvin advises graduate students including Shraddha Singh and has mentored alumni such as Baptiste Royer and Yaxing Zhang. He has led major federally funded initiatives, including the DOE-funded Co-Design Center for Quantum Advantage. His educational materials, including lecture notes and textbooks, are widely used in quantum computing education. Labs and Teams: He is closely associated with the Yale Quantum Institute (YQI), YINQE, the Condensed Matter Theory group, and the Department of Applied Physics. His work is central to Yale’s leadership in quantum science and engineering.
Roland Ketzmerick is a Professor at Technische Universität Dresden, leading the Computational Physics group. He is also a Max Planck Fellow at the Max Planck Institute for the Physics of Complex Systems. His research focuses on quantum chaos, mesoscopic physics, and Hamiltonian systems. Studied Physics at Technische Universität Darmstadt, Universität Freiburg, and Purdue University PhD in Physics (1989, Universität Frankfurt) Habilitation (1998, Universität Göttingen) Postdoctoral work at University of California Santa Barbara His research interests include quantum chaos in mixed systems, power-law trapping in Hamiltonian systems, Floquet systems , Hamiltonian ratchets , fractal spectra , and Bloch electrons in magnetic fields . Recent work explores resonance states in chaotic scattering, quantum transport in higher-dimensional systems, and dynamical tunneling in 4D Hamiltonians. His publications reveal trends in quantum chaos theory , resonance-assisted tunneling , and multifractal wavefunction analysis across quantum optics, condensed matter, and nonlinear dynamics. Key collaborations include Arnd Bäcker and Konstantin Clauß. Scientific recognition includes the Otto-Klung-Prize (1999). He has led the DFG Forschergruppe FOR760 (2010-2013) and served as Physics Department Head (2016-2018). As head of TU Dresden's Computational Physics group, his team investigates quantum chaos mechanisms using semiclassical methods and numerical simulations. Recent projects analyze Arnold web dynamics , dielectric cavity resonance , and ultracold atom entanglement in chaotic systems.
Ian Mondragon-Shem is an Assistant Professor in the Electrical and Computer Engineering Department at the University of Illinois Chicago . His research focuses on foundational and applied problems in Quantum Information Science and Engineering , with particular emphasis on superconducting quantum hardware, quantum simulators, topological quantum phases, entanglement dynamics, and non-ergodic quantum systems. Ph.D. in Physics, University of Illinois Urbana-Champaign (2016) B.S. in Physics, Universidad de Antioquia, Colombia (2010) The group's work combines theoretical and computational approaches, including numerical simulations, effective modeling, and algorithm design, to advance quantum technologies while bridging Physics , Electrical Engineering , and Quantum Computing . Key research trends include: Quantum Hardware Development Topological Phase Characterization Entanglement-Based Analysis Disorder and Localization Effects Interdisciplinary Methodologies
Antonio Buffo is an Associate Professor at the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin. He serves as a member of the College of Chemical and Materials Engineering and is an invited member of the College of Electrical and Energy Engineering. Buffo teaches various courses including Thermodynamics for Chemical Engineering, Molecular Dynamics Modeling in LAMMPS (recognized as "excellent teaching"), and Applied Physical Chemistry across multiple academic levels from Bachelor's to PhD programs. He has been consistently involved in Doctoral Colleges for Chemical Engineering programs from the 35th to the 40th cycle. Dr. Buffo's research focuses on computational approaches to chemical engineering problems, with particular expertise in mesoscopic modeling, multiphase flow, and multiscale simulation techniques. His work bridges theoretical modeling with practical industrial applications, as evidenced by his involvement in numerous research projects funded by competitive tenders and commercial contracts. His scientific work aligns with ERC sectors in Chemical Engineering, Computational Engineering, and Fluid Mechanics, contributing to UN Sustainable Development Goals related to quality education, economic growth, industry innovation, and responsible consumption. His recent publications demonstrate a strong trend toward applying advanced computational methods to complex fluid dynamics problems, with increasing emphasis on multiscale approaches that connect molecular-level phenomena with macroscopic engineering applications. The research spans diverse applications from respiratory droplet transmission to battery cell assembly and sustainable chemical processes, reflecting his ability to address both fundamental scientific questions and practical engineering challenges. Excellence in Teaching Award for Molecular Dynamics Modeling in LAMMPS Dr. Buffo has supervised twelve PhD students across multiple cycles of the Chemical Engineering program, with current advisees working on topics ranging from dissipative particle dynamics to respiratory droplet transmission and food emulsion production. His research is organized through the Multiscale modelling for materials science and process engineering research group at DISAT, where he works in the Laboratory for Multiscale and Process Modeling. He leads and participates in several significant research initiatives including the MODEM project on multiscale modeling of dense emulsions (as Scientific Manager), the BATCAT project on battery cell assembly, and the MULTIPHASE Erasmus Mundus Joint Master program, demonstrating his leadership in both academic research and international educational collaborations.
Daniele Marchisio is a Full Professor at the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin. He serves as a Member of the Equality Committee and the University Open Access Commission. His academic journey began with a degree in Chemical Engineering from the Polytechnic University of Turin in 1997, followed by a PhD in 2001 from the same institution in collaboration with Iowa State University. His educational background includes: Bachelor's degree in Chemical Engineering (cum laude) from Polytechnic University of Turin (1997) PhD in Chemical Engineering from Polytechnic University of Turin in collaboration with Iowa State University (2001) Professor Marchisio's research focuses on multiscale computational methods for polydisperse particulate and multiphase flows. His work spans several key areas including precipitation and crystallization processes, particle aggregation and dispersion, nanoparticle formation in combustion, bubble columns, gas-liquid stirred reactors, turbulent liquid-liquid dispersions, and fluidized beds. He combines molecular dynamics with continuum modeling to develop innovative approaches in computational fluid dynamics, dissipative particle dynamics, mesoscopic modeling, and population balance methods. His research has significant applications in battery materials production and recycling, pharmaceutical processes, biomethanation, and aqueous phase reforming. His publication record demonstrates strong focus on multiphase systems , crystallization processes , and battery technology . Recent work shows increasing integration of machine learning techniques with traditional computational methods, particularly for parameter identification and optimization in complex chemical processes. His research bridges fundamental computational methods with practical industrial applications across energy, materials, and chemical engineering domains. Professor Marchisio has received several prestigious scientific awards: Most cited paper for Chemical Engineering Science (Elsevier, 2007) Sciencedirect top 25 most downloaded article (Elsevier, 2010) Abilitazione Scientifica Nazionale - prima fascia - 09/D2 (MIUR, Italy, 2014) Highly cited paper for the International Journal of Multiphase Flow (Elsevier, Netherlands, 2016) As an academic advisor, Professor Marchisio has supervised numerous PhD students working on cutting-edge research topics including magnesium hydroxide precipitation, lithium-ion battery modeling, and computational fluid dynamics applications. His research is supported by significant funding from multiple sources including European Union projects (H2020, Horizon Europe), national research programs (PRIN), and industry collaborations. Current major projects include BATCAT (Battery Cell Assembly Twin), NESSF (Non-equilibrium self-assembly of structured fluids), HPC Spoke 7, BIG-MAP, and SEArcularMINE. Professor Marchisio leads the Multiscale Modelling for Materials Science and Process Engineering research group within DISAT. His team specializes in developing integrated computational frameworks that bridge molecular-scale phenomena with continuum-level engineering applications. The group maintains strong collaborations with international institutions including Beijing University of Chemical Technology, CSIRO in Melbourne, and University College London. Their work has direct applications in sustainable engineering, clean energy technologies, and advanced materials development aligned with several UN Sustainable Development Goals.
Hannelore Derluyn is a CNRS Research Fellow at the Laboratory of Complex Fluids and their Reservoirs (LFCR) within the University of Pau and Pays de l'Adour. Her research focuses on geomechanics of porous media, particularly salt crystallization-induced damage mechanisms in rocks. She received her doctorate from ETH Zurich (2012) and Master's from KU Leuven (2006), with previous positions at Ghent University and ETH Zurich. Research Focus Derluyn's work bridges experimental and computational approaches to understand crystallization damage in porous materials. Using advanced techniques like X-ray tomography, she studies how environmental factors (temperature, humidity, salt concentration) trigger rock degradation. Her research has applications in heritage conservation, CO₂ storage, and geothermal energy. The ERC-funded PRD-Trigger project aims to establish predictive models for salt-induced damage at the pore-network level. Awards and Recognition ERC Starting Grant (2019) for pioneering work on precipitation-triggered rock dynamics ETH Zurich Medal (2013) for outstanding doctoral thesis FWO Research Grant and Fellowship (2013-2016) from Research Foundation Flanders Best Reviewer Award from Materials and Structures (2015) Research Infrastructure At LFCR, Derluyn utilizes synchrotron X-ray microtomography and neutron radiography for in-situ observation of crystallization processes. Her work involves collaborations with European institutes including EMPA Dübendorf and KU Leuven, focusing on multi-scale analysis of geomaterial behavior under environmental stress.
Dr. Suraj S Hegde is currently an Assistant Professor in the Department of Physics at Indian Institute of Science Education and Research Thiruvananthapuram. His academic path includes postdoctoral research at TU Dresden and the Max Planck Institute for the Physics of Complex Systems, with a Ph.D. from the University of Illinois, Urbana-Champaign, and a Bachelors in Electrical Engineering. Research Interests: Quantum condensed matter theory focusing on symmetry, geometry, and topology in quantum matter Systems: Quantum Hall effects, Topological superconductors, Weyl semimetals, non-Hermitian open quantum systems Phenomena: Non-equilibrium dissipative dynamics, Transport, Localization, Majorana modes, and black hole parallels in condensed matter Article Trends: Recent work connects topological and geometric principles in condensed matter with gravitational analogies, leveraging non-Hermitian dynamics and disorder to explore edge states, mobility edges, and quantum simulation platforms for advanced phenomena like black hole mirages and Majorana bound states.
Dr. Ioana Pintilie is a Scientific Researcher I at the National Institute of Materials Physics (NIMP) in Romania, with a career spanning since 1986. She holds a PhD in Physics from the University of Bucharest and has contributed extensively to materials science, particularly in perovskite solar cells and radiation-damaged semiconductors. Education: Graduated, Faculty of Physics – Condensed Matter Physics, University of Bucharest (1989) PhD, Faculty of Physics, University of Bucharest (1996) Research Interests: Dr. Pintilie's work focuses on the development of large-area perovskite solar cells, electrically active defects in materials, radiation damage modeling for CERN and XFEL applications, conduction mechanisms in dielectrics, and ferroelectric/high-k oxides. Her research bridges experimental physics and computational modeling, with a strong emphasis on technological applications. Publications and Collaboration Trends: She has published 213 Web of Science articles (H-index: 29) and participated in numerous international projects, including CERN-RD50, FP5, FP7, and Horizon 2020 initiatives. Her recent studies address defect engineering in silicon, stability of hybrid perovskites, and negative capacitance in ferroelectric devices. Scientific Awards: Romanian Academy Award for Physics (2000) Award for Excellence in Research and Innovation (2000) Gold Medal at EUROINVENT (2016) Excellence Award at PRO INVENT (2016) Advising and Grants: Dr. Pintilie has led teams in CERN collaborations and coordinated projects like Perovskites for Photovoltaic Efficient Conversion Technology (EEA) and 3εFERRO (Horizon 2020). She has also secured national projects, including a comprehensive investigation into radiation damage in silicon. Labs and Teams: She works at the Laboratory of Complex Heterostructures and Multifunctional Materials at NIMP and collaborates with institutions in Germany, Norway, and through EU frameworks. Her work integrates into Industry 4.0 platforms and CERN’s RD50 collaboration.
Miloš Dražić is a Researcher at the University of Belgrade’s Institute for Multidisciplinary Research, focusing on quantum electron transport through nanostructures and molecules. He holds a PhD in Condensed Matter Physics and Statistical Physics from the University of Belgrade’s Faculty of Physics (2017) and graduated in Physics there (2008). Education : Doctor of Physical Sciences (2017), University of Belgrade - Faculty of Physics; Physics graduate (2008), University of Belgrade – Faculty of Physics. Dražić’s research spans quantum transport , nanoscale systems , and theoretical modeling . His work applies quantum field theory methods, Green’s function formalism, and density functional theory (DFT) to study electronic and transport properties of nanophase materials. His recent publications highlight expertise in graphene nanopores , DNA sequencing via nanogap rectification, and non-equilibrium transport in molecular junctions. Trends include quantum interference effects, local gating techniques, and computational modeling of nanoscale devices. Scientific Awards : Scholarship from the Ministry of Education, Science and Technological Development of the Republic of Serbia (2009-2010). Dražić collaborates on projects like “Dynamics of atomic, molecular, and mesoscopic systems” (OI 141029) and “Electronic, transport and optical properties of nanophase materials” (OI171033), utilizing software packages SIESTA and TranSIESTA for simulations. His skills include Matlab and Mathematica programming.
Igor Todoshchenko is a researcher at the Department of Applied Physics, Aalto University, specializing in quantum physics and condensed matter systems. His work focuses on superfluids, surface wave dynamics, and nanoscale quantum phenomena. Quantum Circuits and Correlations group Key areas: 3He/4He superfluids, topological defects, graphene resonators Recent publications analyze magnetic crystallization waves, Casimir effects in mesoscopic systems, and surface wave interactions in quantum fluids. His research combines theoretical thermodynamics with experimental nanomechanical measurements. His work spans computational physics, crystallography, and advanced sensor technologies, with contributions to understanding finite-size thermodynamic effects and topologically imposed material defects.
