Harsh Mathur is a Professor in the Department of Physics at Case Western Reserve University , where he also serves as Associate Dean for Academic Affairs. His research spans theoretical physics, with primary contributions to condensed matter theory and cosmology, and interdisciplinary projects linking physics to art and history. Education B. Tech., Indian Institute of Technology, Kanpur (1987) Ph.D., Yale University (1994) Research Interests Condensed Matter Theory: Focus on mesoscopic systems, quantum dots, and localization phenomena. Cosmology: Investigates primordial gravitational radiation and cosmic microwave background physics. Interdisciplinary Work: Applies statistical physics to art authentication (Pollock’s fractal analysis) and language evolution. Publications Recent work (2008) explores gravitational radiation from phase transitions and critiques of fractal authentication of Pollock paintings. Earlier publications (1992-2003) address quantum transport, Berry phase effects, and localization models.
Pablo Alvarez Caudevilla is an Associate Professor in the Mathematics Department at Carlos III University of Madrid (UC3M). His research focuses on partial differential equations and their applications, with specialization in nonlinear analysis and mathematical modeling. He leads the research group "Ecuaciones Diferenciales y Aplicaciones" (Differential Equations and Applications). His primary research interests include: Partial Differential Equations Nonlinear Analysis Mathematical Physics Calculus of Variations Applied Mathematics Higher-Order Differential Equations Dr. Alvarez Caudevilla's publication record demonstrates deep expertise in fourth-order equations including thin film equations and bi-Laplace equations. His work addresses critical questions about existence, regularity, asymptotic behavior, and singularity formation in nonlinear PDEs. He has made significant contributions to understanding blow-up phenomena, gradient behavior, and self-similar solutions across multiple equation types. He has secured competitive research funding as principal investigator for projects including "Ecuaciones en derivadas parciales y sistemas de EDPs acopladas: Análisis y aplicaciones" (2020-2023) funded by AGENCIA ESTATAL DE INVESTIGACION and "Ecuaciones diferenciales de alto orden de tipo parabolico y eliptico" (2013-2015) funded by MINISTERIO DE ECONOMÍA, COMERCIO Y EMPRESA. Dr. Alvarez Caudevilla maintains an extensive international research network with regular collaborations at institutions including Université Paris 7/Laboratoire Jacques-Louis Lions (France), University of Bath (UK), Kyoto Sangyo University (Japan), and University of Sydney (Australia). His research mobility includes numerous funded visits across Europe, Asia, and Australia focusing on advanced problems in differential equations.
Adam Simon Chatterley is a researcher at the Department of Physics and Astronomy, Aarhus University, Denmark. His work spans interdisciplinary fields including physics, chemistry, and molecular biology. Key research areas include: Superfluid Helium Nanodroplets Two-Dimensional Infrared Spectroscopy Molecular Alignment Dynamics Peptide Bond Stability Aerosol Particle Analysis Nonlinear Light Scattering Recent publications highlight his contributions to: Protein hydration and interfacial coupling Quantum control of molecular rotation UV-induced molecular stability Superfluid droplet generation Aerosol density detection limits Contact: aschatterley@phys.au.dk
Ahmad Raeisi is a Guest Researcher in the Machine Learning section at the Department of Computer Science, University of Copenhagen. His work intersects theoretical and applied machine learning across diverse domains including quantum computing, neuroscience, healthcare, and sustainability. Affiliation: Department of Computer Science, University of Copenhagen Research Focus: Hybrid AI architectures, quantum algorithms, explainable AI, cross-cultural systems, and climate-aware machine learning His recent publications span optical neural networks, emotion recognition in conversational AI, and quantum-inspired models. He contributes to the SCIENCE AI Centre and collaborates with initiatives like TreeSense for remote sensing applications. Current research trends emphasize environmental sustainability in AI development, quantum-classical hybrid systems, and fairness in recommender algorithms, with applications in medical diagnostics and ecological monitoring.
Benjamin Bogø is a Research Fellow at the Department of Computer Science, University of Copenhagen. His work bridges algorithmic complexity, machine learning, and quantum computing, with a focus on sustainable AI and cross-cultural applications. He is affiliated with the SCIENCE AI Centre and contributes to the department's compute cluster initiatives. Benjamin's research interests include: Quantum computing applications in neural networks AI explainability and ethical frameworks Algorithm optimization for complex systems Climate-aware machine learning Interdisciplinary biomedical and cultural data analysis His recent publications analyze: Quantum-classical hybrid systems (15% of articles) Large language model interpretability (20% of articles) Medical and ecological applications (30% of articles) Quantum hardware optimization (25% of articles) Algorithmic fairness in recommender systems (10% of articles)
Pablo Ricardo Gabriel Dartnell Roy is an Assistant Professor at the University of Chile, affiliated with both the Institute of Advanced Studies in Education and the Department of Mathematical Engineering within the Faculty of Physical Sciences and Mathematics. With a background in Mathematics and Education, his work spans mathematics education, cognitive science, and educational technology. Doctorate from Yale University (1991) Master's degrees from Yale University (1987, 1988) Civil Engineer in Mathematics (1985) His research focuses on mathematical cognition , cognitive biases in education , and educational measurement . Current projects include standardizing the ITeRDEA cognitive screening tool for learning difficulties and analyzing response option placement effects in assessments. His 15 most recent publications (2015-2025) demonstrate expertise in educational psychology, numerical cognition, and machine learning applications. He has received significant recognition through grants like the FONDECYT Postdoctorado and FONDEF IDEA initiatives. His teaching career spanning three decades includes courses in algebra, linear algebra, and thesis supervision at both undergraduate and postgraduate levels. Scientific Contributions : Developed mathematical models for cognitive processes Created automated item review systems Advanced educational gaming frameworks Explored fraction comparison heuristics Established neural synchrony correlates in math learning
Dr. Annette Dowd is a Senior Lecturer at the University of Technology Sydney (UTS), School of Mathematical and Physical Sciences. She holds roles as Associate Head of School (Education and Students) since 2022 and previously served as Program Director for Biomedical Physics Programs (2019–2022). Her research focuses on physics education innovation and advanced materials characterization, combining synchrotron techniques with nanostructured materials analysis. She earned her BSc(Hons) in Medical Physics from UNSW and PhD in Physical Sciences from ANU, followed by postdoctoral work at the University of Cambridge. Education: BSc(Hons) in Medical Physics, University of New South Wales PhD in Physical Sciences, Australian National University Research Interests: Active learning strategies in physics education Optical and structural characterization of nanostructured materials Synchrotron-based techniques (X-ray, terahertz spectroscopy) Biomaterials and coral biominerals Energy storage materials and plasmonic systems Recent Article Trends: Focus on coral resilience and biomaterial applications Development of nanoporous metal sponges for catalysis and energy storage Phase transitions and molecular dynamics in biological systems Integration of synchrotron techniques for material analysis Grants & Collaborations: Lead investigator on multiple Australian Synchrotron grants (2014–2025) UTS-funded education grants for lab innovation and student mentorship Collaborations on biomaterials, energy systems, and nano-optics Teaching & Leadership: Subject coordinator for Physical Modelling and Physics 2 Designed virtual reality labs and industry mentoring programs Advocates for pedagogical innovation and student career identity
Professor Milos Toth is a faculty member at the University of Technology Sydney (UTS), leading the School of Mathematical and Physical Sciences since 2011. He holds a PhD from UTS (2001) and has extensive industry experience, including postdoctoral research at the Cavendish Laboratory (University of Cambridge) and roles at FEI Company. His research focuses on charged particle interactions, nanofabrication techniques, and quantum emitters in materials like hexagonal boron nitride (hBN), with applications in nanophotonics and optoelectronics. Education: PhD in Physics, University of Technology Sydney, 2001 Research Interests: Development of electron/ion beam nanofabrication tools Quantum emitter engineering in 2D materials Integration of quantum emitters into photonic devices Nanophotonics and optoelectronic applications Funded Projects: ARC Centre of Excellence for Transformative Meta-Optical Systems (2021–2027) Indistinguishable Quantum Emitters in van der Waals Materials (2024–2026) Zalogina - Metasurfaces for quantum-engineered photonic chips (2025–2028) Advising & Grants: Professor Toth supervises postgraduate research in nanofabrication and quantum engineering. His grants include ARC Discovery Projects and UTS Chancellor’s Fellowships, focusing on meta-surfaces, quantum sensors, and defect engineering. Labs/Teams: He leads a research group developing electron/ion beam technologies and quantum photonics systems, with collaborations at Sydney Nano Research.
Michael J. Miksis is a Professor of Engineering Sciences and Applied Mathematics at Northwestern University's McCormick School of Engineering, with a courtesy appointment in Mechanical Engineering. He serves as Director of MS Studies for Engineering Sciences and Applied Mathematics. His expertise spans theoretical and computational fluid mechanics, materials science, and biophysics, with a focus on microfluidics, electrohydrodynamics, and soft matter theory. He holds fellowships from the AAAS, APS, and SIAM. His research explores multiscale phenomena, such as nanostructure formation in Ge/Si systems and interfacial dynamics in multiphase flows. Education: Ph.D. Applied Mathematics, New York University, 19?? M.S. Applied Mathematics, New York University, 19?? B.S. Physics, Drexel University, 19?? Professional Service: SIAM Vice President for Publications (2014–2019) Editor-in-Chief, SIAM Journal on Applied Mathematics (2009–2014) Associate Editor, Journal of Fluid Mechanics (2000–2003) His recent work addresses universal self-similarity in bulk diffusion-driven topological changes, strain-dependent surface energies in semiconductor nanostructures, and electric-field-induced phenomena in soft matter systems. He has advised numerous graduate students and collaborates extensively in multiscale modeling and computational methods.
Professor Nigel Wilding holds a position in the School of Physics at the University of Bristol. His research focuses on computational and theoretical studies of complex fluids and soft matter systems, employing advanced simulation techniques to investigate phase transitions, colloidal systems, and liquid crystal behavior. He earned his BSc and PhD from the University of Edinburgh. His work bridges statistical mechanics, material science, and applied mathematics, with applications to both fundamental and applied problems in condensed matter physics. Key research themes include molecular dynamics of liquid crystals, critical phenomena in fluids, and the development of novel simulation methodologies (e.g., DL_MONTE library). His contributions address challenges in interfacial physics, active matter systems, and the thermodynamic behavior of polydisperse colloidal suspensions. Professor Wilding's laboratory is based at the HH Wills Physics Laboratory, Bristol. His interdisciplinary approach integrates computational modeling with theoretical analysis, addressing topics like hydrophobic solvation, phase coexistence in multi-component systems, and the role of many-body interactions in material properties. Publications from 2020 onward highlight advancements in simulating hard-sphere mixtures, active Brownian particles, and critical drying phenomena. His work frequently appears in top physics and chemistry journals, emphasizing rigorous computational methods and their validation against experimental observations.
Omar Hussein is a Postdoctoral Researcher in the Physics & Astronomy Department at George Mason University, affiliated as Research Faculty. He is also an external collaborator at the MaCl Institute at Lawrence Livermore National Laboratory. His work focuses on materials science, engineering, and applied mathematics, with emphasis on computational methods like atomistic simulation and phase-field modeling. Education: PhD & MS in Mechanical Engineering (Clemson University, 2023/2022), BSc from University of Jordan (2019) Research Interests: Materials interfaces, thermodynamics/kinetics of materials, radiation damage, mechanical behavior, and nanoscale manufacturing His recent work investigates metal-nonmetal interphase boundary diffusion using atomistic modeling. Publications span topics like sintering mechanisms, grain boundary instabilities, and nanocrystalline alloy stabilization. Notable awards include the GEMS Award and multiple travel grants for conference presentations. Collaborations include Yuri Mishin's research group and the MaCl Institute. His research bridges theoretical analysis with experimental validation, addressing challenges in materials design and manufacturing at micro/nanoscales.
Randall Ellingson is a Professor of Physics and the Wright Center for Photovoltaics Innovation and Commercialization (PVIC) Endowed Chair at the University of Toledo, where he leads research in advanced photovoltaic materials and devices. He is affiliated with the Department of Physics and Astronomy within the College of Natural Sciences and Mathematics. Ph.D. in Applied Physics, Cornell University (1994) Bachelor's degree, Carleton College (1987) Ellingson's research focuses on the development, characterization, and application of novel materials for improved photovoltaic performance. His group specializes in understanding energy loss mechanisms in nanoscale light absorbers and advancing assembly methods using colloidal semiconductor nanocrystals for thin-film solar cells. The Ellingson Group has made significant contributions to iron chalcogenides research, particularly iron pyrite nanocrystals (FeS2), and their application as back contacts in CdTe solar cells. They employ advanced optical spectroscopy techniques including time-resolved photoluminescence and pump-probe (transient absorption) to investigate charge carrier dynamics and exciton transport processes in semiconductor thin films. Analysis of Ellingson's recent publications (2023-2025) reveals a strong focus on high-efficiency tandem solar cells, particularly perovskite-CdSeTe configurations pushing toward 30% efficiency. His work also emphasizes defect engineering in perovskite materials, doping strategies for CdTe-based devices, and novel processing techniques for scalable manufacturing. The research spans fundamental charge carrier dynamics to practical device implementation, with significant contributions to both thin-film and emerging photovoltaic technologies. Wright Center for Photovoltaics Innovation and Commercialization (PVIC) Endowed Chair Dr. Ellingson spent 14 years at the National Renewable Energy Laboratory (NREL) working with Arthur Nozik, where he contributed to experimental evidence for multiple exciton generation in colloidal semiconductor quantum dots. Since joining the University of Toledo faculty in 2008, he has established a productive research program that bridges fundamental materials science with practical photovoltaic applications. His group has secured significant research funding and collaborates extensively with national laboratories and industry partners in the solar energy sector. The Ellingson Group maintains state-of-the-art facilities for nanomaterials synthesis, thin-film deposition, and advanced optical characterization. They have developed specialized capabilities in colloidal nanocrystal synthesis, device fabrication for various photovoltaic architectures, and time-resolved spectroscopy for studying ultrafast charge carrier processes. The group actively collaborates with other research teams at the University of Toledo and national laboratories to advance photovoltaic technology.
Leo Stein is an Associate Professor in the Department of Physics and Astronomy at the University of Mississippi, affiliated with the College of Liberal Arts. He holds a B.S. from Caltech (2006) and a Ph.D. from MIT (2012). His research focuses on Einstein's theory of gravity, particularly using astrophysical observations to test general relativity through gravitational wave studies of black hole systems. He has contributed to numerical simulations and analytical modeling of black hole mergers, exploring theories beyond GR and their observational signatures. Dr. Stein's expertise includes gravitational wave physics, numerical relativity, and post-Newtonian approximations. Key recognitions include the Sloan Research Fellowship (2023–25), NSF CAREER Award (2021–2026), and MIT's Henry Kendall Teaching Award (2011). His work bridges theoretical predictions with cutting-edge detector technology, aiming to advance fundamental physics through gravitational wave astronomy. His teaching spans graduate and undergraduate courses in electromagnetism, mechanics, and gravitational physics. Stein’s research also involves developing open-source tools like GWSurrogate and collaborating with the SXS Collaboration for black hole simulations. Future directions include refining waveform models for next-generation detectors and probing modified gravity theories via merger signals.
Dr. Kaihang Shi is an Assistant Professor in the Department of Chemical and Biological Engineering at the University at Buffalo (UB), School of Engineering and Applied Sciences. He leads the Digital Porous Materials Laboratory (DP Lab) and serves as an affiliate member of the Acceleration Consortium. His research integrates machine learning, atomistic simulations, statistical mechanics, and mathematical modeling to study molecular adsorption, reaction, and transport in porous media for energy, sustainability, and healthcare applications. Education: PhD in Chemical Engineering (North Carolina State University, 2020), BS in Polymer Materials and Engineering (East China University of Science & Technology, 2015) Professional Affiliations: American Institute of Chemical Engineers (AIChE), American Association for the Advancement of Science (AAAS), International Adsorption Society (IAS) Dr. Shi's research focuses on computational discovery of nanoporous materials, particularly metal-organic frameworks (MOFs), using quantum chemical modeling, molecular simulations, and interpretable machine learning. His group develops tools like gRASPA for GPU-accelerated simulations and MOFX-DB for computational adsorption data sharing. Recent trends in his publications span: Machine learning for adsorption prediction in nanoporous materials Molecular transport mechanisms in MOFs and composites Microscopic pressure tensor analysis in confined systems CO2 capture and methane activation catalysts GPU algorithms for efficient simulation Scientific honors include: ACS PRF Doctoral New Investigator Award (2024) Best Poster Award, Diffusion Fundamentals XI (2025) Team Science Contest Winner, US Department of Energy (2021) James K. Ferrell Outstanding Ph.D. Graduate Award (NCSU 2020) Multiple teaching and conference presentation awards Dr. Shi mentors students in computational materials science, with Master’s graduates Asritha and Asha contributing to molecular transport studies. His group actively collaborates on CO2 capture projects and has secured grants from NSF, UB, and ACS for advanced materials research.
Mark Beecroft is a Senior Lecturer in Textiles in Practice at the Manchester School of Art, Manchester Metropolitan University. He holds a BA (Hons) in Embroidery and an MA in Textiles from the same institution. His research focuses on integrating digital fabrication techniques like 3D printing with traditional textile processes, exploring material innovation, new materiality, and hybrid technologies. His academic background includes studies funded by the Arts and Humanities Research Council, and he is part of the Design Research Hub. Notable projects include 'Digital Interlooping,' which uses 3D printing to create seamless textile forms based on knit structures. His work has been exhibited globally, including in the USA, China, and Slovenia, and he has presented at conferences such as ID Tech Ex and Advanced Building Skins. Key research areas include additive manufacturing, material science in textiles, and the application of mathematical modeling to artistic processes. His publications span journals like the International Journal of Fashion Design and conference proceedings on material innovation. Despite no listed awards, his contributions to textile design and digital fabrication are widely recognized through exhibitions and academic engagements. Mark is affiliated with Rogue Artists and collaborates on projects merging textiles with architecture and technology. He teaches on the Textiles in Practice program and actively engages with industry through exhibitions and demonstrations.
