Overview Prof. Nils Rüther is a Professor of Hydraulic Engineering at the Technical University of Munich (TUM) within the TUM School of Engineering and Design . His research focuses on sediment transport mechanics, hydraulic modeling of rivers and urban flooding, and hydropower infrastructure sustainability. He specializes in integrating advanced numerical methods with geospatial data analysis for environmental engineering applications. Research Interests His work spans experimental hydraulics, CFD modeling, and field observations. Key areas include: Braided river morphodynamics using satellite imagery Sediment transport quantification via ADCP and SfM techniques Flood risk assessment in steep mountain rivers Optimization of hydropower plant designs Climate change impacts on river systems Technical Expertise Rüther employs cutting-edge tools like OpenFOAM, TELEMAC, and machine learning models for predictive hydraulics. His experimental work uses physical scale models and advanced instrumentation (ADCPs, SfM, ultrasound). Awards & Grants While no specific awards are listed, his active participation in EU-funded projects like HYPOS and DIRT-X indicates recognition in the field.
Tom Muir is the Van Zandt Williams Jr. Class of 1965 Professor of Chemistry at Princeton University, leading the Muir Lab. His research integrates organic chemistry, biochemistry, and cell biology to study protein function in complex biomedical systems. The lab develops chemical tools to manipulate proteins, with a focus on chromatin structure, histone modifications, and bacterial communication pathways. Key projects include designer chromatin systems, oncohistone mechanisms, and intein-based protein engineering. Research Interests: - Chromatin dynamics and epigenetic regulation - Oncohistones and cancer-associated histone mutations - Protein engineering via inteins and transamidation - Staphylococcus aureus virulence pathways - Development of chemical biology tools for biomedical research Recipient of major honors including Royal Society Fellowship (2021), American Academy of Arts and Sciences (2020), and multiple ACS awards. Lab website: muir.princeton.edu
Professor Sushma Grellscheid holds a professorial position in the Department of Biosciences at Durham University. Her research focuses on RNA splicing mechanisms, cellular senescence, and molecular biology with applications to genetic disorders and cancer biology. She has contributed extensively to understanding stress granule biophysics, ciliopathies, and tissue-specific gene regulation through multidisciplinary approaches. Key research areas include: RNA processing disorders and splicing regulation Cellular senescence mechanisms and aging biology Stress granule formation and phase separation Therapeutic target discovery for ciliopathies Plant developmental biology and root meristem dynamics Her work bridges molecular genetics with synthetic biology, exemplified by studies on coacervate-core vesicles and DNA-based particle tracking. Over 30 peer-reviewed publications demonstrate her expertise in translational regulation, telomere biology, and biomaterials science. Current research emphasizes: Developing RNA-based therapies for genetic diseases Elucidating senescence signaling pathways Engineering synthetic biological systems No formal awards are listed, but her active grant contributions are evident through collaborative projects with institutions like the European Physical Journal and Nature Communications.
David Benson is a Professor in the Department of Geology and Geological Engineering at the Colorado School of Mines. His research focuses on hydrology, fractional calculus, numerical methods, and mixing-limited chemical reactions in porous media. He holds a Ph.D. in Hydrogeology from the University of Nevada, Reno (1998), an M.Sc. in Geologic Sciences from San Diego State University (1992), and a B.S. in Geology from New Mexico State University (1985). His research interests include Lagrangian simulation techniques, self-similar random fields, and the application of fractional calculus to hydrologic modeling. Benson is particularly known for advancing particle-tracking methods to model reactive transport and mixing processes in subsurface environments. His work bridges theoretical developments with practical applications in environmental engineering and groundwater systems. He teaches courses such as GEGN 581 (Analytical Hydrology), GEGN 470 (Groundwater Engineering Design), and GEGN 583 (Mathematical Modeling of Groundwater Systems). His recent publications emphasize parallelization of numerical algorithms, optimization of particle-tracking simulations, and addressing computational challenges in reactive transport modeling. Benson’s contributions to the field include foundational studies on the accuracy of mass-transfer algorithms, the role of mixing in chemical reactions, and the development of computational frameworks for heterogeneous aquifers. His work has been published in journals like Advances in Water Resources and Water Resources Research , reflecting his focus on both methodological innovation and real-world environmental challenges.
Quentin Boehler is a Senior Research Fellow at the Multi-Scale Robotics Lab at ETH Zurich, specializing in magnetic actuation for medical robotics. His research focuses on the development and analysis of electromagnetic navigation systems and soft magnetic robots for medical applications. Education: M.S. in Mechatronics from INSA Strasbourg (2013) Ph.D. in Robotics from ICube laboratory, University of Strasbourg (2016) Boehler's research interests span across medical robotics, with a particular emphasis on magnetic actuation techniques for minimally invasive procedures. His work combines principles from robotics, electromagnetism, and medical engineering to develop novel systems for clinical applications. Key areas include electromagnetic navigation systems, soft magnetic robotics, MR-compatible devices, and variable stiffness mechanisms. His research has significant implications for improving precision and safety in medical procedures such as endoscopy, catheterization, and surgical interventions. Analysis of his publications shows a consistent focus on translating theoretical robotics concepts into practical medical applications, with particular attention to navigation precision and device functionality in clinical settings. Dr. Boehler's scientific contributions have been recognized with the Best Thesis Award from the research commission of the University of Strasbourg and the First prize at the 2016 Ph.D. thesis awards from GDR Robotique. His work has resulted in numerous high-impact publications in journals such as Science Robotics, Nature Communications, and IEEE Transactions on Robotics. As a key member of the Multi-Scale Robotics Lab at ETH Zurich, Boehler contributes to advancing the field of medical robotics through innovative research and development. His work bridges the gap between theoretical robotics and practical clinical applications, with a focus on creating technologies that can be translated to real-world medical settings. His research demonstrates strong interdisciplinary collaboration with medical professionals and engineers to address clinical challenges through robotic solutions.
Peter Reece is a Professor at the School of Physics within the Faculty of Science at the University of New South Wales (UNSW). He leads the Photonics and Optoelectronics Laboratory, focusing on advanced optical techniques such as laser spectroscopy, microscopy, and optical trapping. His research spans quantum sensing, nanophotonics, and semiconductor physics, often involving interdisciplinary collaborations with institutions like the University of Melbourne and UNSW St George Clinical School. He can be contacted at p.reece@unsw.edu.au .
Alexander Deisting is a Senior Scientist at Johannes Gutenberg University Mainz within the Faculty of Physics, Mathematics and Computer Science and the Institute of Physics. He works in Prof. Oberlack's group on next-generation dark matter detectors and serves on the PRISMA+ Ombuds team for diversity and inclusion concerns. His academic background includes: Dr. rer. nat. in Physics from Ruprecht-Karls-Universität Heidelberg (2018) with thesis on ion mobility and GEM discharge studies for the ALICE TPC upgrade Master of Science from Rheinische Friedrich-Wilhelms-Universität Bonn (2014) on InGrid detector readout Bachelor of Science from Rheinische Friedrich-Wilhelms-Universität Bonn (2012) on charge deposition reconstruction in GEM-Pixel-TPCs Dr. Deisting specializes in advanced particle detector instrumentation, particularly time projection chambers (TPCs). His research focuses on: Gas-filled TPCs with high spatial resolution Single-phase liquid TPCs for low-energy thresholds Optical readout systems for TPCs Novel amplification stages for enhanced detector performance His work bridges dark matter detection (XENONnT, Darwin) and neutrino physics (DUNE, JUNO) through major international collaborations. Analysis of his 12 publications (2017-2025) reveals consistent expertise in detector R&D for particle physics. Key trends include liquid xenon/argon TPC advancements for dark matter and neutrino experiments, gas detector optimization for heavy-ion colliders, and cross-disciplinary applications like environmental monitoring. His work emphasizes precision engineering, stability under extreme conditions, and innovative readout techniques. Dr. Deisting actively supervises BSc, MSc, and PhD theses in detector physics. He serves as Task Leader in DRD2 "Liquid detectors" and Darwin WG6 "Liquid Xenon Properties and Calibration," while regularly reviewing for JINST, EPJ C, NIM A, and MDPI journals. He is integral to the ETAP (Experimental Elementary Particle Physics) group at Mainz and the PRISMA+ Cluster of Excellence. His experimental work spans XENONnT/Darwin (dark matter), DUNE/T2K (neutrinos), and past collaborations including ALICE, RD51, and AIDAinnova for gaseous detector systems.
Simon Godsill is a Professor of Statistical Signal Processing at the University of Cambridge, affiliated with the Engineering Department and Corpus Christi College. He coordinates the Signal Inference and its Applications research group, focusing on advanced Bayesian computational methods, multiple object tracking, audio/music processing, and financial time series modeling. His research leverages Lévy processes and Sequential Monte Carlo (Particle Filtering) techniques for non-Gaussian modeling in applications spanning tracking agile objects (e.g., birds, drones), financial prediction , and vibrational data analysis . He has co-authored foundational texts like Digital Audio Restoration and led major international workshops, including the Imperial Workshop on Intelligent Communications . Co-organizer, 2009-10 SAMSI Research Program on Sequential Monte Carlo Methods General Chair, 2018 FUSION Conference Principal Investigator on grants from EPSRC, EU, and industry leaders (Microsoft, Google, Citibank) He has received accolades including a Technical Oscar for CEDAR Audio Ltd. and Best Paper Awards from IEEE and IET. His group’s work on non-Gaussian channel modeling and jump-driven Lévy processes has broad implications in telecommunications, finance, and engineering. Associate Editor, IEEE Transactions on Signal Processing Director, CEDAR Audio Ltd. (founded 1988)
Dr. Eric Bruning serves as an Associate Professor in the Department of Geosciences at Texas Tech University, where he has been a faculty member since 2010. His research program integrates atmospheric electricity, cloud physics, and advanced computational methods to investigate fundamental storm processes and lightning phenomena. His academic foundation includes a complete sequence of degrees in Meteorology from the University of Oklahoma (B.S., M.S., Ph.D., 2008), followed by postdoctoral research at the University of Maryland's Earth System Science Interdisciplinary Center. This training established his expertise in severe storms and satellite meteorology through collaboration with NOAA's National Severe Storms Laboratory. Dr. Bruning's research spans multiple interconnected domains: Atmospheric electricity and lightning physics, including storm electrification mechanisms Cloud microphysics and dynamics in diverse convective systems Scientific computing applications using Python for atmospheric analysis History and philosophy of science perspectives on meteorological research Interdisciplinary connections between scientific visualization and artistic design His publication record (2022-2025) reveals intensive focus on lightning observation systems, aerosol-cloud-precipitation interactions, and field campaign operations. Key themes include the development of novel lightning mapping techniques, analysis of lake-effect electrification events, and investigation of microphysical drivers of storm electrification through projects like ESCAPE, TRACER, and LEE. Professional engagement highlights include: Active membership on NOAA's GOES-R Geostationary Lightning Mapper (GLM) Science Team Principal Investigator for NSF-funded research on lightning flash size distributions and turbulence Former Chair of the American Meteorological Society Committee on Atmospheric Electricity Dr. Bruning contributes significantly to major collaborative field campaigns and instrumentation development, particularly through his leadership in the Lake-Effect Electrification (LEE) project and the Tracking Aerosols and Convection Experiment (TRACER). His work bridges theoretical modeling, observational analysis, and practical applications for improving severe weather understanding and forecasting capabilities.
David Krapohl is a Senior Lecturer at Mid Sweden University's Department of Computer and Electrical Engineering, affiliated with the STC Research Centre in Sundsvall. His academic background includes a PhD in Engineering from Mid Sweden University and an engineering degree in Mechatronics from Aachen University of Applied Sciences (Germany), with a student exchange at Mälardalen University. Research Focus: David specializes in radiation detection systems, with emphasis on: Hybrid pixel detectors (Medipix/Timepix) X-ray and neutron detector technologies Readout electronics and Monte Carlo/FEM simulations He actively contributes to international collaborations like the CERN Medipix project and the BrightnESS neutron detector initiative. Publications & Trends: His 15 most recent articles (2011–2023) predominantly explore X-ray fluorescence imaging , detector simulation frameworks (Geant4), and radiation sensor optimization . Recurring themes include material analysis for industrial applications (e.g., pulping, environmental monitoring) and hardware design for spectroscopic systems. Teaching & Advising: David supervises Master-by-Research students and encourages inquiries about projects in detector physics and radiation systems. No awards or grants are documented. Contact: Reach him via email (david.krapohl@miun.se) or phone (+46 (0)10-1428755) at Room S404, Sundsvall campus.
David Pallarès is a Professor at the Department of Energy Technology, Chalmers University of Technology. His research focuses on the application of fluidized bed technology in energy conversion processes contributing to sustainability and climate change mitigation. He synergizes the development and validation of fluidized bed models with experimental research mainly focused on the dedicated advanced measurement of fluid-dynamics. Since 2018, he has served as vice-Head of Department for doctoral studies, and since 2021, he represents Sweden in the International Energy Agency's work group for Fluidized Bed Conversion. Professor Pallarès' research interests span multiple areas of energy technology with a strong emphasis on fluidized bed systems. His work encompasses the fundamental understanding of fluid-dynamics in fluidized beds, development of advanced measurement techniques for solids flow, and application of these technologies to sustainable energy conversion processes. He has made significant contributions to the understanding of particle transport phenomena, solids mixing, and heat transfer in bubbling and circulating fluidized beds. His research also extends to carbon capture technologies, particularly sorbent-based direct air capture and calcium looping, as well as thermochemical energy storage systems that can integrate with district heating networks. With 132 publications and involvement in 16 research projects, Professor Pallarès has established himself as a leading expert in fluidized bed technology. His recent work shows a strong trend toward addressing climate change challenges through innovative energy technologies, with increasing focus on carbon capture, utilization and storage (CCUS) solutions and renewable energy integration. The interdisciplinary nature of his research bridges chemical engineering, energy technology, and environmental science to develop practical solutions for sustainable energy systems. As vice-Head of Department for doctoral studies since 2018, Professor Pallarès plays a key role in guiding and mentoring PhD students at Chalmers. His leadership extends internationally through his representation of Sweden in the International Energy Agency's work group for Fluidized Bed Conversion since 2021. His research portfolio includes diverse funding sources, with projects supported by the European Commission, Swedish Research Council, Swedish Energy Agency, and industry partners like Valmet.
Jonas Ries is a Professor at the University of Vienna, affiliated with the Department of Structural Biology and Computational Biology. His research focuses on super-resolution microscopy, cryo-electron microscopy, and structural analysis of cellular components. Department: Structural Biology and Computational Biology Specialization: Nuclear pore complex architecture, MINFLUX nanoscopy, fluorescent labeling. His recent work includes 2025 projects on mitochondrial fission during apoptosis via SMLM and MINFLUX, and developing a cost-effective MINFLUX microscope. He collaborates internationally, with a focus on nuclear pore complexes and artificial intelligence applications in microscopy. 2024 contributions highlight advancements in 3D MINFLUX excitation, dynamic structural biology, and synaptonemal complex analysis in C. elegans. His projects often involve computational modeling and high-throughput imaging. Research Trends Recent publications emphasize super-resolution techniques (MINFLUX, SMLM), PSF inverse modeling for microscope calibration, and nuclear pore complex dynamics. Subfields include apoptosis mechanisms, clathrin coat bending, and AI-driven image analysis. Academic Engagement He participated in the Dies Academicus event at the University of Vienna in 2024, indicating active involvement in academic community activities.
Jonathan Cohen is Professor of Marine Science and Undergraduate Coordinator in the College of Earth, Ocean & Environment at the University of Delaware . Based at the School of Marine Science & Policy in Lewes, Delaware, he leads research that bridges neurobiology, visual ecology, and polar biology while coordinating academic programs for marine science majors. Education Postdoctoral Fellow, Harbor Branch Oceanographic Institution (2005–2006) Ph.D., Biology, Duke University (2004) B.S., magna cum laude, Biology & Environmental Science, Dickinson College (1999) Research Interests Prof. Cohen’s interdisciplinary program centers on how marine animals perceive and respond to light . His laboratory combines comparative physiology, neurobiology, and field ecology to investigate: Visual systems of crustaceans and fish across ontogeny Behavioral and physiological adaptations to extreme Arctic light regimes Interactions between light fields, zooplankton migrations, and estuarine transport processes Ecological impacts of microplastics mediated through sensory disruption Recent work leverages autonomous vehicles, high-resolution optical sensors, and next-generation biophysical models to quantify how environmental change alters marine sensory landscapes. Publication Trends Between 2020 and 2025, Prof. Cohen has authored or co-authored more than 20 papers that collectively chart a trajectory from organismal sensory biology to large-scale physical-biological coupling. The corpus reveals three dominant themes: (1) Polar-night marine optics and bioluminescence as ecological drivers; (2) Estuarine transport and retention of buoyant particles including microplastics; and (3) Visual ecology and sensory physiology of larval and adult crustaceans. These studies integrate laboratory microcosm experiments, high-latitude field campaigns, and numerical modeling to provide a mechanistic understanding of how light governs organismal behavior and ecosystem processes. Scientific Awards & Honors No specific awards are listed in the provided materials; however, sustained NSF and collaborative funding is evident from the publication record. Advising & Grants As the Marine Science Undergraduate Coordinator , Prof. Cohen mentors a large cohort of majors, oversees curriculum development, and supervises senior theses and research projects. Graduate students and postdocs routinely participate in his externally funded projects, though individual names are not disclosed in the supplied text. Laboratories & Field Assets Research is conducted within the Cannon Laboratory Complex in Lewes, DE, providing access to running seawater systems, optics labs, and microscopy suites. Field programs utilize UD’s coastal vessels, autonomous surface vehicles, and partnerships at Arctic stations such as Ny-Ålesund, Svalbard.
Janice Evans is a Professor of Biological Sciences and the Associate Dean for College Initiatives and Graduate Education at Purdue University's College of Science. Her research focuses on molecular mechanisms governing mammalian development, particularly sperm-egg interactions and meiotic progression. She also explores fluid dynamics applications in biomedical and energy systems. Research Interests : Molecular Biology, Developmental Biology, Fluid Dynamics, Biomechanics, and Bio-inspired Engineering. Her interdisciplinary work bridges biological processes with engineering solutions, such as cough simulators for respiratory studies and mangrove-inspired energy harvesting systems. Recent studies include wind turbine performance optimization and coastal protection strategies using bio-inspired designs. Key Contributions : Pioneered novel cough simulators, analyzed tracheal flow dynamics with cartilaginous rings, and investigated low-level jet impacts on wind energy systems. Her work on surface coatings reduces aerodynamic noise and vibration in engineering systems. Labs/Teams : Leads collaborative teams in biological and fluid dynamics research at Purdue's College of Science laboratories, focusing on cross-disciplinary projects.
Wei Xie is a Professor of Physics and Astronomy at Purdue University, affiliated with the Department of Physics and Astronomy within the College of Science. His research focuses on studying the Quark-Gluon Plasma (QGP) created in high-energy heavy-ion collisions at RHIC and LHC, and developing spiking neural networks for pattern recognition. He has been actively involved in the STAR, CMS, and sPHENIX collaborations. Xie holds a Ph.D. in High Energy Physics from the Institute of High Energy Physics, Academia Sinica (1997), with prior academic positions including RIKEN-BNL Fellowship and postdoctoral roles at UC Riverside and Weizmann Institute. His awards include the RIKEN/BNL Research Center Fellowship (2004-2007) and Feinberg Fellowship (1997-2000). Xie has advised multiple graduate students who now work in academia and industry. His teaching includes advanced physics courses such as PHYS 521 and undergraduate courses like PHYS 241. Research interests span heavy flavor physics, jet quenching, and neuromorphic computing applications in particle physics. Current projects include sPHENIX detector development and exploring STDP-based supervised learning for image recognition.
