Tommy Sonne Alstrøm is an Associate Professor at the Department of Applied Mathematics and Computer Science, DTU Compute, Danmarks Tekniske Universitet (DTU). His research focuses on machine learning, signal processing, and nanotechnology-based sensor systems. Key research areas include: Explainable AI for time series and spectroscopy Diffusion models for speech enhancement Federated learning optimization Probabilistic modeling of biosignals His recent publications demonstrate expertise in neural network geometry, federated learning privacy, and spectroscopic data analysis. Current work involves self-supervised learning for variable-channel time series and road condition modeling using LiRA-CD dataset. Contact: tsal@dtu.dk
Prof. Dr. Gebhard Schertler leads the Structural Biology of Membrane Proteins group at the Paul Scherrer Institute (PSI) in Switzerland. His research focuses on the molecular mechanisms of G protein-coupled receptors (GPCRs), particularly light-activated rhodopsins, to bridge structural biology with cellular signaling pathways and pharmacological applications. Expertise in X-ray crystallography and cryo-EM for membrane protein structures Collaborations in spectroscopic analysis and optogenetic tool design Over 25 years of publications in top-tier journals (Nature, Science, PNAS, etc.) Research Interests include: Understanding GPCR activation, ligand efficacy, and intracellular signaling dynamics through structural biology; developing optogenetic tools by analyzing retinal protein pockets; and linking receptor structure to physiological functions via interdisciplinary approaches. Recent Publications highlight structural studies of GPCR-G protein complexes, bistable opsins, and advanced crystallography techniques. His group’s work spans retinal protein dynamics, ion pump mechanisms, and computational methods for time-resolved data analysis. Students : Lea Jänisch, Flurin Stefan Hidber, Sarah Luise Schmidt, Deborah Walter. Group members include senior scientists (Xavier Deupi, Valérie Panneels) and project scientists working on GPCR signaling, membrane protein biochemistry, and structural informatics.
Crina Nimigean is a Professor of Biochemistry and Biophysics in the Anesthesiology and Physiology and Biophysics departments at Weill Cornell Medical College , with appointments from 2020 and 2025. Her research focuses on ion channel biophysics, particularly potassium channels and their structural, functional, and pharmacological dynamics. Education: Ph.D. in Biochemistry and Biophysics, University of Miami (1999) M.S. and B.S. in Biochemistry, University of Bucharest (1995) Research Interests span potassium channel selectivity, ligand binding, voltage and calcium-dependent gating, membrane protein reconstitution, and anesthetic modulation. Her work integrates structural biology (e.g., cryo-EM), functional assays, and theoretical modeling to unravel mechanisms underlying ion channel behavior. Publications reflect a 20-year trajectory examining CNG channels (SthK, MloK1), HCN channels, TRPV3, TREK1, and BK channels. Key themes include lipid-protein interactions, allosteric regulation, and cryo-EM structural dynamics. Grants and Funding: 2024-2029: Uncovering druggable allosteric sites in HCN channels (NINDS) 2024-2026: Molecular Mechanisms of Potassium Channel Permeation and Gating (NIGMS) 2024-2029: Structure and Function of TRPV3 channels (NINDS) 2022-2024: Structural dynamics in cyclic nucleotide-modulated channels (NIGMS) Methodological Contributions include innovative assays for ion flux, fluorescence titrations, and membrane protein reconstitution techniques.
Geoffrey Blake is a Professor of Cosmochemistry and Planetary Sciences and Professor of Chemistry at the California Institute of Technology (Caltech). He received his B.S. from Duke University in 1981 and his Ph.D. from Caltech in 1986. His academic career at Caltech progressed from Assistant Professor of Cosmochemistry (1987-93) to Associate Professor of Cosmochemistry and Planetary Sciences (1993-97), to Professor (1997-99), and finally to his current dual appointment as Professor of Cosmochemistry and Planetary Sciences and Professor of Chemistry (1999-present). He also served as Deputy Director of the Owens Valley Radio Observatory (2000-06) and Master of Student Houses (2009-14). Professor Blake's research focuses on applying innovative spectroscopic tools to investigate chemical and physical processes in natural environments ranging from the interstellar medium to living cells. His work aims to understand the evolution of molecular diversity from atoms in the interstellar medium to complex molecules throughout the solar system and in life. He conducts both remote sensing and laboratory studies, with active research in three major scientific areas. His group is actively developing new spectrometers across the Terahertz (THz, 30-1000 μm) region of the electromagnetic spectrum. Analysis of Professor Blake's recent publications reveals a strong focus on advanced spectroscopic techniques, particularly in the terahertz range, and their application to both astrochemistry and physical chemistry problems. His work spans from laboratory studies of molecular clusters and water structure to astronomical observations of protoplanetary disks and exoplanet atmospheres. There is a clear interdisciplinary approach, connecting chemistry, physics, and astronomy to address fundamental questions about molecular evolution and cosmic processes. Professor Blake has mentored numerous graduate students who have gone on to successful careers in academia, national laboratories, and industry. His students have received prestigious awards, including the 2024 ACS Astrochemistry Dissertation Award (Olivia Wilkins). He has also secured research funding that supports his group's development of advanced spectroscopic instrumentation and related research activities. The Blake Group operates state-of-the-art laboratories for terahertz and microwave spectroscopy at Caltech. They have developed innovative instrumentation including decade-spanning high-resolution terahertz time-domain spectrometers and frequency comb systems. The group collaborates with researchers across multiple disciplines and institutions, contributing to major astronomical observations with facilities like JWST and ground-based observatories.
Dr James Mullaney is Senior Lecturer in Astrophysics at the University of Sheffield’s School of Mathematical and Physical Sciences. He also serves as the School’s Recruitment Lead and has built an active research group comprising three current PhD students. Education MSci Physics and Astronomy, University of Nottingham (2000–2004) PhD Astrophysics, Durham University (2005–2008) Leverhulme-funded PDRA, Durham (2008–2010) European (FP7) Fellowship, CEA-Saclay, France (2010–2012) Leverhulme Early-Career Fellowship, Durham (2012–2013) Vice-Chancellor’s Fellowship, University of Sheffield (2013–2016) Lecturer (2016–present), subsequently promoted to Senior Lecturer, University of Sheffield Research Interests Dr Mullaney studies the co-evolution of galaxies and their central super-massive black holes. Using multi-wavelength observations from the world’s largest telescopes, he investigates how black-hole growth is triggered, how AGN feedback regulates star formation, and how powerful outflows redistribute energy and matter within galaxies. His work combines deep X-ray, sub-millimetre and infrared datasets to quantify the star-formation properties of AGN hosts and to map kiloparsec-scale winds that couple black-hole activity to galactic scales. Research Output With over 60 refereed papers (six exceeding 100 citations each), his recent work emphasizes ALMA and Herschel studies of star-formation in AGN hosts, NuSTAR high-energy surveys of obscured accretion, and machine-learning techniques for time-domain astronomy within the GOTO wide-field survey. These studies reveal a complex interplay between AGN luminosity and star-formation rate, the ubiquity of ionised and molecular outflows in luminous AGN, and new methods for identifying rapidly variable and transient phenomena. Grants & Funding Co-Investigator on STFC Consolidated Grant for Sheffield Astrophysics (£1.2 M, 2015–2018) Leverhulme Trust, European FP7 and University strategic fellowships (2008–2016) Teaching & Outreach At Sheffield Dr Mullaney convenes the advanced undergraduate module PHY405 Galaxy Evolution and tutors first-year Mechanics and Optics . He has supervised numerous BSc and MPhys research projects and regularly delivers astronomy outreach to primary and secondary schools together with local amateur societies. Research Team His current group includes three PhD students—Emmanuel Bernhard, Liam Grimmet and Lydia Makrigianni—working on AGN host galaxies, feedback processes and time-domain data analysis.
Xin Liu is an Associate Professor in the Department of Astronomy at the University of Illinois Urbana-Champaign and holds a joint appointment at the National Center for Supercomputing Applications (NCSA). Her research bridges astronomy and data science, focusing on multi-messenger astrophysics, time-domain phenomena, and AI-driven scientific discovery through large-scale astronomical surveys. Her educational background includes: Ph.D. in Astrophysical Sciences, Princeton University (2010) M.A. in Astrophysical Sciences, Princeton University (2008) M.S. in Physics, Tsinghua University (2006) B.S. in Physics, Tsinghua University (2004) Liu's research centers on three interconnected domains: physics-informed machine learning for astronomical data, statistical learning with probabilistic frameworks for uncertainty quantification, and transparent AI models for scientific interpretation. She pioneers methodologies where machine learning integrates with principled astrophysical analysis rather than serving as black-box tools, addressing challenges in big data astronomy through innovative computational approaches. Her recent publications reveal a strong emphasis on dual supermassive black hole systems, active galactic nuclei variability, and time-domain astrophysics. Key themes include leveraging JWST and multi-wavelength observations to identify dual quasars, developing machine learning techniques for survey data analysis, and exploring the connection between black hole growth and galaxy evolution during cosmic noon. Her work frequently combines large datasets from SDSS, Rubin Observatory, and space telescopes with advanced computational methods. Her awards and honors include: Norman P. Jones Professorial Scholar (2023-2026) Excellent Teacher Ranked by Students (2023) NCSA Faculty Fellow (2020, 2023) Liu has secured prestigious fellowships including the NASA Einstein Fellowship and Hubble Fellowship. She teaches advanced courses like ASTR 596 (AI and Big Data in Astronomy) and has received recognition for her teaching excellence. Her research receives support through institutional appointments and competitive fellowships enabling high-impact work in data-intensive astrophysics. As an NCSA Faculty Fellow, Liu leverages world-class supercomputing resources to develop and apply machine learning frameworks for astronomical datasets. Her group fosters interdisciplinary collaboration between astronomy, computer science, and statistics, focusing on creating interpretable AI tools that advance fundamental astrophysical understanding while pushing computational boundaries.
Charles Paillard is a Research Professor at the Laboratory Structures, Properties and Modeling of Solids (SPMS) , Université Paris-Saclay, France. He conducts advanced research on ferroelectric, multiferroic and oxide materials using state-of-the-art ab-initio and multiscale modelling techniques. Education & Qualifications: HDR (Habilitation à Diriger des Recherches) — French post-doctoral degree qualifying for full professorship. Research Interests Paillard’s work spans several tightly connected themes: Ferroelectric & Multiferroic Physics: fundamental mechanisms of polarization, magnetoelectric coupling, and domain-wall dynamics. Photostriction & Light-Control: light-induced mechanical strain in oxides such as BiFeO₃ and BaTiO₃, enabling remote actuation. Two-Dimensional Ferroelectrics & Oxide Superlattices: electro-optic, elasto-optic and piezoelectric responses in van-der-Waals and epitaxial heterostructures. Neuromorphic Oxides: leveraging relaxor ferroelectrics for brain-inspired, low-power memory and synaptic devices. Computational Methodology: finite-temperature ab-initio calculations, multiscale modelling, and high-throughput design of multifunctional materials. Recent Publication Landscape Between 2024 and 2025 Paillard (co-)authored 15 high-impact works. The dominant themes are (i) light-matter interactions in ferroelectrics (photostriction, photo-induced phase transitions), (ii) electro-optic and elasto-optic phenomena in 2-D and oxide thin films, and (iii) domain-wall mediated magnetoelectric excitations in multiferroics. These studies combine predictive theory with experimental collaborations and point toward applications in photonics, neuromorphic computing and ultrafast optical control. Scientific Awards & Distinctions HDR (Habilitation à Diriger des Recherches) — attests to internationally recognized research leadership. Advising & Collaborative Grants Active collaborations include joint publications with researchers from US, Chinese, and European institutions (e.g., University of Arkansas, Xi’an Jiaotong University, ETH Zürich). Specific grant details are not disclosed in the supplied text, but the breadth and number of co-authored works indicate substantial national and international funding. Labs & Teams Paillard is a key member of the SPMS Laboratory within CentraleSupélec/Université Paris-Saclay. The group hosts advanced computational facilities and coordinates closely with experimental teams in nanofabrication, synchrotron, and neutron-scattering centers.
Miguel Acedo García serves as an Associate Professor in the Department of Applied Physics I, with a documented research career spanning 1995-2011. His academic profile centers on electrical insulation materials for power systems, evidenced by consistent publications in IEEE and Elsevier venues. Research expertise includes: Water tree degradation mechanisms in polyethylene cable insulation Temperature-dependent conduction processes in XLPE/LDPE Dielectric characterization of aged insulation materials Space charge dynamics in mid-voltage cable systems Development of conduction models for degraded insulation Analysis of his 16-year publication trajectory reveals sustained focus on polymer physics applications in electrical engineering. His work combines experimental measurements (absorption currents, dynamic analysis) with theoretical modeling to address cable reliability challenges, featuring notable international collaborations particularly with European researchers. No scientific awards are documented in the provided source material. While specific grant details are absent, his publication record indicates active research program management. As an Associate Professor, he likely supervises graduate students - evidenced by his own 2003 PhD thesis on water tree degradation - though no current advisees are listed in the available documentation.
Stefan Gorenflo is a Lecturer for Signal Processing at the FHNW School of Engineering and Environment, Institute for Sensors and Electronics, and concurrently at the Cooperative State University Lörrach. His work bridges academic teaching and industrial research, focusing on sensor data processing, low-power algorithms, and industrial radar techniques. Education: PhD (Dr. rer. nat.), Institute of Physics, University of Freiburg (2006) MSc (Dipl. Ing.) in Electrical Engineering, Max-Planck-Institute for Nuclear Physics, Heidelberg (2004-2006) BSc in Electrical Engineering, University Karlsruhe (TH) (1999-2003) His research interests span Terahertz Spectroscopy , Signal Processing for industrial sensors, Predictive Maintenance , and Functional Safety . Earlier work focused on broadband THz sources, dielectric properties of materials, and radar-based level measurements. Publications highlight applications of THz spectroscopy in petroleum analysis, oil contamination modeling, and THz pulse dynamics. His teaching covers Digital Signal Processing and Object-Oriented Programming at the Bachelor level. Labs & Teams: Project Leader/Group Leader at Endress+Hauser (2007-2019) Scientist at Fraunhofer Institute for Physical Measurement Technique (2004-2006) Current affiliation with FHNW Institute for Sensors and Electronics
Gwenaël Gaborit is an Associate Professor at Université Savoie-Mont-Blanc and Chief Science Officer at Kapteos SAS. His research and teaching focus on electro-optic sensors, terahertz technology, and electromagnetic field diagnostics. University: Université Savoie-Mont-Blanc Role: Associate Professor Co-roles: Chief Science Officer at Kapteos SAS Research Interests include: Optical Sensor Development Terahertz Wave Generation and Detection Real-Time Vector Electric Field Measurement Biomedical Applications in MRI Plasma Physics Diagnostics Microwave and Antenna Characterization Recent Publications highlight advancements in: THz generation mechanisms Dosimetry in high-field MRI Plasma jet electric field mapping Antenna radiation pattern analysis Lab-on-fiber sensor design Collaborations span institutions like: IMEP-LAHC Polytech Savoie CROMA Grenoble-INP International conferences (IEEE, IRMMW-THz, CEIDP)
Jean-François Roux is a University Professor (section 63) at Savoie Mont-Blanc University, with a focus on Photonics , Optoelectronics , and Terahertz (THz) Wave Applications . He has been active in research and teaching since 1996, transitioning from Maître de Conférences to full Professor in 2021. Education: PhD in Nonlinear Optics (1995, INP Grenoble) Habilitation: Terahertz Signal Generation and Detection (2010) Roux’s research spans terahertz wave generation , detection of ultra-fast electrical signals , and material characterization for metamaterials . His work includes dual-wavelength lasers, THz cameras, and integrated optoelectronic circuits, with applications in optomicrowave systems and quantum electronics . Recent publications highlight advancements in 3D photonic-plasmonic switches , metamaterials , and low-temperature THz devices . Collaborations include the Néel Institute (Grenoble) and ST Microelectronics, with projects like ANR STEPforQUBITS and PEPR E-QubitFly. Roux has supervised 10 PhD students and coordinated regional/national research programs, including projects funded by Rhône-Alpes Region (2004, 2013), French Ministry of Foreign Affairs (2005), and ANR grants. He currently leads the ANR StepForQuBits and participates in ANR DISPONT and PEPR E-QubitFly.
Frank Vergeldt is a Lecturer in Biophysics at Wageningen University, specializing in advanced magnetic resonance techniques. His work bridges physics, food science, and environmental engineering through innovative NMR and MRI applications. His research focuses on Nuclear Magnetic Resonance Spectroscopy , Magnetic Resonance Imaging , and Biophysical Analysis of Complex Materials . Key areas include time-domain NMR for food structure characterization, ultra-high field MRI for environmental sludge analysis, and phasor-based signal processing methods. His fingerprint reveals dominant expertise in Magnetic Field Engineering (100%), NMR Spectroscopy (79%), and Flow Curve Analysis (59%). Recent publications demonstrate strong trends in applying NMR to food science problems (e.g., couscous swelling dynamics) and environmental engineering (aerobic granular sludge characterization). His work consistently leverages multi-technique approaches combining TD-NMR with X-ray tomography or advanced computational analysis. No scientific awards or formal student supervision details are publicly documented in the provided materials. His laboratory work centers on developing novel magnetic resonance methodologies for analyzing heterogeneous materials across food, biological, and environmental systems, with recent emphasis on spatial resolution optimization and multiexponential decay modeling in imaging data.
Dr inż. Paweł Syty is an Assistant Professor at the Institute of Physics and Applied Computer Science , Faculty of Applied Physics and Mathematics at Gdańsk University of Technology. With over 15 years of academic service since his degree in 2006, he contributes to computational physics, plasmonics, and biomedical informatics research. Specializes in relativistic atomic physics and computational modeling Active in artificial intelligence applications for medical diagnostics Investigates plasmonic nanostructures through experimental and computational methods Research Trends: Recent publications reveal a multidisciplinary focus: (1) 2025 computational physics developments for atomic structure calculations, (2) 2024 groundbreaking work on empathy genetics and psychophysiological performance enhancement, and (3) 2023 AI-driven medical imaging applications. Scientific Contributions: His work spans from fundamental physics research on electron scattering to practical applications in: Plasmonic nanostructure optimization Machine learning for biomedical diagnostics Quantum physics simulations Psychophysiological arousal analysis
Barbara Kościelska is a Professor at the Institute of Nanotechnology and Materials Engineering , Gdańsk University of Technology , where she leads the Division of Nanomaterials Physics . Her research bridges materials science, nanotechnology, and optical physics through studies on luminescent materials, plasmon resonance, and glass-ceramics. Her recent work focuses on: Modifying phosphate and tellurite glass systems with rare-earth ions (Eu 3+ , Tb 3+ ) to tune luminescence and conductivity Optimizing thermal dewetting for plasmonic nanostructures (Au, Ag-Cu composites) Developing catalysts for CO 2 utilization in plastic waste reforming Controlling calcium carbonate precipitation for biomedical and environmental applications Her publications (70+ total) span JOURNAL OF LUMINESCENCE , CERAMICS INTERNATIONAL , and APPLIED SURFACE SCIENCE , with experimental approaches including melt-quenching, sol-gel processing, and FDTD simulations. While no formal awards are listed in the provided data, her leadership in nanomaterials physics and frequent collaborations suggest significant scientific impact.
Ohad Medalia is a Full Professor of Biochemistry at the University of Zurich, specializing in cryo-electron tomography (cryo-ET) . His research investigates macromolecular structures and mechanisms in eukaryotic cells , with a focus on integrin-mediated adhesion, intermediate filaments, and nuclear envelope organization. Education: B.Sc. in Chemistry (Tel-Aviv University), Ph.D. in Chemistry (Weizmann Institute), Postdoc (Max-Planck Institute) Research: Combines cryo-ET, FIB-milling, AFM, and biochemical tools to study lamin assemblies, actin polarity, and cell adhesion dynamics Scientific Awards: ERC Synergy Grant (2018), Honorary Doctorate (2023), FEI European Microscopy Award (2008), Alon Fellowship (2004), Rothschild Fellowship (2001) Students: Supervises multiple PhD students including Clarens Lionel, Montinaro Carlotta, and Master student Peyer Tristan His recent publications highlight structural insights into laminopathies , intermediate filament mechanics , and actin-cytoskeleton interactions . Collaborations span institutions like Max Planck Institute, Ben Gurion University, and European research networks.
