جست‌وجوی استاد و پژوهشگر

Brian J. Jaquesمشاهده پروفایل

استادیار

• Materials for Extreme Environments
• Nuclear Materials Science
• Additive Manufacturing
• +۷ مورد دیگر

Brian J. Jaques is an Assistant Professor in the Micron School of Materials Science and Engineering at Boise State University, where he joined in 2009. He also serves as the director of the Boise State Advanced Materials Laboratory (AML) and holds a joint appointment with the Idaho National Laboratory (INL). His extensive institutional affiliations include being the Nuclear Energy Focus lead at the Center for Advanced Energy Studies (CAES) in Idaho Falls and serving as the Boise State program director for the Advanced Sensors and Instrumentation (ASI) with the INL. Boise State University - Micron School of Materials Science and Engineering Idaho National Laboratory (Joint Appointment) Center for Advanced Energy Studies (CAES) - Nuclear Energy Focus Lead (2019-2022) Boise State Advanced Materials Laboratory (Director) Dr. Jaques' research focuses on materials for extreme environments, energy materials, and nuclear enabling technologies. His primary interests include nuclear fuel synthesis, sensor design for nuclear applications, sintering processes, corrosion science, gas-solid reaction kinetics, mechanochemistry, particle science/powder synthesis, and mechanical behavior of materials. His work often intersects with additive manufacturing techniques for nuclear applications and advanced sensor development for in-pile (reactor core) environments. His research output shows a clear trend toward developing materials and sensors for nuclear applications, with increasing emphasis on additive manufacturing techniques since 2018. His recent publications demonstrate expertise in uranium dioxide and carbide fuels, zirconium-based materials for nuclear thermal propulsion, boron nitride coatings, and advanced strain sensing technologies for extreme environments. Dr. Jaques has received numerous scientific awards including: NSF S-STEM Scholar (2004) Advanced Fuel Cycle Initiative/Generation IV Fellow (2006) Outstanding Mechanical Engineering Student Award (2006) Professional Engineer license in Metallurgy and Materials Science (2011) Materials Science and Engineering Scholar Award (2015) He has been actively involved in significant research funding, serving as Co-PI on multiple Nuclear Energy University Program grants and National Science Foundation projects. His current work includes international collaborations to advance high uranium density fuels for Small Modular Reactors and developing additively manufactured sensors for nuclear applications. Dr. Jaques also contributes to educational initiatives including the REU Site on Advanced Manufacturing for a Sustainable Energy Future. His laboratory work centers around the Boise State Advanced Materials Laboratory (AML) and collaborations with the Idaho National Laboratory, focusing on developing novel sensors for in-pile applications that provide real-time, accurate, and spatially resolved information regarding test conditions and the performance of fuels and materials during irradiation.

Michalis Zervasمشاهده پروفایل

استاد

• Optical Communications
• Photonics
• Fibre Lasers
• +۳ مورد دیگر

Professor Michalis Zervas serves as Professor of Optical Communications at the University of Southampton's Optoelectronics Research Centre (ORC), leading pioneering research in photonics and laser technologies. His work integrates advanced optical systems with artificial intelligence to solve complex challenges in telecommunications, manufacturing, and medical diagnostics through major collaborations with industry and international research bodies. His primary research spans Optical Communications, Photonics, and Fibre Lasers, with specialized focus on deep learning applications for laser control optimization, coherent beam combination, and optical fibre sensor development. Current investigations include high-power photonics systems for industrial manufacturing and novel laser-based biomedical diagnostic platforms that bridge physics with healthcare innovation. Recent publications (2025) reveal a decisive trend toward AI-photonic integration, where deep learning algorithms enhance precision in laser-material interactions across diverse applications—from microbead cleaning and paint analysis to psoriasis treatment simulation and diatom imaging. This interdisciplinary approach demonstrates consistent methodological innovation in merging computational intelligence with fundamental laser physics. Supervises 6 PhD students including Rosemary Catriona Clark and Fedor Chernikov in ORC's photonics programs Secures major funding from EPSRC (Smart Fibre-Optic High Power Photonics, Hearing Light) and US Air Force Office of Scientific Research Leads collaborative projects with Professor Sir David Payne and Professor Johan Nilsson across national manufacturing hubs As co-leader of the Smart Lasers and Special Fibres research group within the Advanced Laser Laboratory, Zervas drives experimental photonics innovation through state-of-the-art fibre laser systems and optical resonator technologies. His team maintains strategic partnerships with global industry leaders in photonics manufacturing and medical device development.

Thierry Meyerمشاهده پروفایل

پژوهشگر

• Chemical Engineering
• Polymerization Reactions
• Supercritical Fluids
• +۵ مورد دیگر

Dr. Thierry Meyer is a Researcher at the Swiss Federal Institute of Technology in Lausanne (EPFL), affiliated with the School of Basic Sciences and the Chemical Engineering Institute. He received his MSc (1986) and PhD (1989) in chemical engineering from EPFL and has been a leading figure in polymer reaction engineering and risk management since 1998. Education: MSc in Chemical Engineering, EPFL (1986) PhD in Chemical Engineering, EPFL (1989) His research focuses on polymerization reactions in supercritical fluids, thermal stability analysis, and safety management in academic laboratories. Recent work emphasizes nanomaterials safety, risk assessment frameworks, and climate-related hazards. Roles & Expertise: Chairman of the European Working Party on Polymer Reaction Engineering (2001–2006) Adviser for the International Chamber of Commerce (ICC) on risk assessment Member of editorial boards for journals like Chemical Engineering Research and Design Active in occupational health and safety for EPFL’s School of Basic Sciences

• Power Systems
• Smart Grids
• Transient Stability
• +۷ مورد دیگر

Cavit Fatih Küçüktezcan is an Assistant Professor in the Department of Electrical Engineering at Istanbul Technical University, College of Engineering. His research focuses on power system security, optimization methods, and smart grid technologies. He actively contributes to advancements in electric vehicle energy systems, battery modeling, and resilience of renewable-rich power grids. Research Interests: His work spans power system dynamic security , preventive and corrective control , heuristic and evolutionary optimization (e.g., differential evolution, mean-variance mapping, genetic algorithms), and the application of machine learning for transient stability prediction. He also investigates electric vehicle battery systems , including optimal cell selection and real-time energy consumption modeling. The publication trends show a shift toward data-driven and AI-enhanced approaches in power systems, especially in modeling cyber-attack impacts and improving grid resilience. His recent articles emphasize practical applications in sustainable transportation and secure grid operation under uncertainty. Scientific Contributions: Developed optimization frameworks for preventive control with search space reduction. Applied mean-variance mapping optimization to enhance dynamic security. Explored machine learning benchmarks for transient stability under cyber threats. Contributed to battery modeling and energy efficiency in electric buses. Advising and Grants: While specific details on students or funded projects are not available in the provided text, his collaborative research patterns suggest active supervision and team-based research in power systems and energy technology. He frequently co-authors with researchers from Istanbul Technical University, indicating strong institutional collaboration. Labs and Teams: Though no specific lab or research group is named, his work aligns with smart grid, energy systems, and optimization research teams within the Department of Electrical Engineering at ITU. His focus on real-time data and cyber-physical systems suggests potential involvement in intelligent grid monitoring and control initiatives.

H. Daniel Ou-Yangمشاهده پروفایل

استاد

• Soft Condensed Matter Physics
• Biophysics
• Optical Technologies
• +۱ مورد دیگر

Dr. H. Daniel Ou-Yang is a Professor and Director of the Emulsion Polymers and Engineered Particles Institute (EPI) at Lehigh University. He also serves as a Group Leader in the Biophotonics division of the Lehigh-Penn State University Center for Optical Technologies. Education: Ph.D. in Physics from UCLA (1985), M.S. in Physics from Fu-Jen Catholic University (1977), B.S. in Physics from Fu-Jen Catholic University (1975) His research focuses on experimental soft condensed matter physics, with applications in biophotonics and emulsion polymers. Recent work includes collaborations in cell therapy for cancer treatment. He has held visiting research positions at institutions including CNRS Laboratory in Strasbourg (2000), Hong Kong University of Science and Technology, National Taiwan University, and Korea Advanced Institute of Science and Technology (2008). Contact: hdo0@lehigh.edu | Office: Deming Lewis Lab 16 Memorial Drive East Bethlehem, PA 18015

Xuefei Huangمشاهده پروفایل

استاد

• Carbohydrate Chemistry
• Molecular Imaging
• Nanoparticle Technology
• +۳ مورد دیگر

Xuefei Huang is a Professor in the Departments of Biomedical Engineering and Chemistry at Michigan State University (MSU), serving as Associate Chair for Research in the Chemistry Department. He earned his Ph.D. from Columbia University and previously worked at the University of Toledo. His research integrates synthetic chemistry, biology, and engineering to develop advanced tools for disease diagnosis and treatment, with a focus on carbohydrate chemistry, molecular imaging, and targeted drug delivery. Education: Ph.D., Columbia University Bachelor's degree, University of Science and Technology of China Research Interests: His work emphasizes the synthesis and application of carbohydrates, particularly in developing vaccines, anti-cancer therapies, and diagnostic nanoparticles. Key areas include glycoconjugate vaccines, nanoparticle-based drug delivery systems, and immunotherapies targeting cell surface carbohydrates. The Huang Lab employs interdisciplinary approaches, combining organic synthesis, molecular imaging, and virology. Research Trends in Publications: Recent work focuses on carbohydrate-based vaccines (e.g., SARS-CoV-2, Salmonella), glyco-nanoparticle design for imaging and surgery guidance, and structure-activity relationships in heparin/heparan sulfate oligosaccharides. Labs & Teams: The Huang Lab collaborates across disciplines to advance biomedical innovations, with a focus on translational applications in oncology, infectious diseases, and nanotechnology.

Peter Sadowskiمشاهده پروفایل

دانشیار

• Machine Learning
• Artificial Intelligence
• Deep Learning
• +۳ مورد دیگر

Dr. Peter Sadowski is an Associate Professor at the University of Hawaii at Mānoa in the Department of Information and Computer Sciences. His research focuses on machine learning and artificial intelligence, with an emphasis on deep learning applications in science and engineering. Ph.D., Computer Science, University of California, Irvine (2016) B.S., Computer Science, California Institute of Technology (2009) Dr. Sadowski's research explores the intersection of machine learning and scientific domains. He develops deep learning models to solve complex problems in physics, astronomy, and climate science, while advancing foundational neural network techniques like random backpropagation. His recent publications highlight deep learning's versatility, including applications in antimatter physics, particle physics, and interdisciplinary collaborations. Current projects aim to improve computational models for scientific data analysis and climate adaptation. NSF CAREER Award (2023) for machine learning in climate adaptation DOE Solar Forecasting Competition Prize (2022) NSF Awards (2021) for self-supervised learning in microbiome science and astronomy Dr. Sadowski teaches machine learning courses and runs an open AI seminar for students and faculty. He contributes to open-source machine learning tools like SHERPA (Hyperparameter optimization) and Keras tutorials.

• Granular Mechanics
• Mechanical Engineering
• Neutron Diffraction
• +۵ مورد دیگر

Associate Professor Christopher Wensrich is a faculty member in the School of Engineering at the University of Newcastle, Australia, specializing in Mechanical Engineering. He has a strong background in applied mechanics from both computational and experimental perspectives, with significant expertise in granular mechanics, neutron diffraction strain measurement, and Bragg-edge transmission strain tomography. Education: PhD, University of Newcastle Bachelor of Mathematics, University of Newcastle Bachelor of Engineering, University of Newcastle Professor Wensrich's research focuses on several interconnected areas within mechanical engineering and materials science. His primary expertise lies in granular mechanics, spanning from micromechanics and homogenization of granular systems to analytical modeling of granular dynamics (particularly the silo quaking problem) and computational modeling using the Discrete Element Method (DEM). He is also a pioneer in applying neutron diffraction strain scanning techniques to granular systems. In the broader field of applied mechanics, he has made significant contributions to neutron diffraction-based strain measurement, including breakthroughs in Bragg-edge Transmission Strain Tomography, where he demonstrated the world's first practical application outside of simple axisymmetric systems. His publication record demonstrates a consistent focus on developing and applying advanced techniques for strain measurement and reconstruction in granular and composite materials. His recent work has centered on tomographic reconstruction methods using neutron diffraction, with particular emphasis on Bragg-edge techniques for 2D and 3D strain field reconstruction. His research bridges theoretical mathematics, computational methods, and experimental validation, creating a robust framework for non-destructive stress measurement in complex materials. Professional Recognition: President of the Australian Neutron Beam User Group (ANBUG) since December 2022 Member of the ACNS Program Advisory Team at ANSTO (Australian Nuclear Science and Technology Organisation) since March 2019 Visiting Fellow at Clare Hall College, Cambridge University (January-June 2023) Visiting Researcher at Isaac Newton Institute for Mathematical Sciences (January-June 2023) Professor Wensrich has secured substantial research funding, with a total of $5,478,793 across 42 grants. His funding portfolio includes projects from the Australian Research Council (ARC), ANSTO, and international partners like Oakridge National Laboratory and Japan Proton Accelerator Research Complex. He has successfully supervised 11 PhD and Masters students to completion, with research topics spanning granular mechanics, conveyor systems, and neutron strain tomography. His current research involves collaborations with institutions worldwide, focusing on advanced strain measurement techniques and their application to complex material systems.

Francis Cucinottaمشاهده پروفایل

استاد

• Radiation Biology
• Biophysics Modeling
• Space Radiation Health Effects
• +۷ مورد دیگر

Professor Francis Cucinotta is a faculty member at the University of Nevada, Las Vegas, within the Department of Health Physics and Diagnostic Sciences. He teaches radiation biology, dosimetry, and radiation science at both undergraduate and graduate levels. Education: B.S. in Physics (Rutgers University), Ph.D. in Nuclear Physics (Old Dominion University) His research focuses on biophysics models of radiation effects on Earth (e.g., cancer treatment) and in space (e.g., astronaut risk assessment). Key areas include radiation carcinogenesis, neurodegeneration, cataracts, DNA repair, and radiation transport. He has developed theoretical frameworks for nuclear fragmentation, microdosimetry, and systems biology of cell signaling. Recent publications analyze clustered DNA damage, lunar radiation environments, heavy ion therapy, and radiation risk compensation policies. These works span disciplines like biophysics, medical physics, neuroscience, and space systems engineering. Radiation Research Society President (2013-2014) National Council on Radiation Protection and Measurements Council Member Editorial Board Member: Life Sciences in Space Research Guest Editor: Radiation Research, Frontiers in Radiation Oncology Cucinotta has received continuous funding from the National Cancer Institute (2016-2021), with past support from the Department of Energy and NASA. He has authored over 350 peer-reviewed articles and book chapters.

Athanasios Koliosمشاهده پروفایل

استاد

• Wind Turbine Engineering
• Offshore Wind Turbines Engineering
• Offshore Wind Farms Engineering
• +۳ مورد دیگر

Athanasios Kolios serves as Professor and Head of the Structural Integrity and Loads Assessment section within the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). His work focuses on advancing wind energy technology through structural analysis, materials science, and system optimization for both onshore and offshore applications. His primary research domains include wind turbine structural integrity, offshore wind farm layout optimization, and structural health monitoring systems. He investigates critical challenges in operation and maintenance strategies, techno-economic metrics for wind projects, and materials behavior under dynamic loading conditions. His fingerprint analysis reveals dominant expertise in Wind Turbine Engineering (100%), Offshore Wind Turbines Engineering (45%), and Offshore Wind Farms Engineering (36%). Recent publications demonstrate strong emphasis on data-driven approaches for wind energy systems, including structural optimization algorithms, virtual sensing techniques, and techno-economic assessments of offshore projects. His work consistently bridges theoretical engineering principles with practical industry applications, particularly in Brazilian and European offshore wind contexts. Scientific Awards: No scientific awards were documented in the provided information Professor Kolios actively supervises five PhD candidates across major research initiatives while mentoring Master's students in structural wind energy applications. His research portfolio includes six significant projects addressing critical industry needs: PhD Supervision: Chopard (anomaly interpretation), Piovesan (risk-based technology qualification), Yildirim (floating turbine uncertainty), Rodrigues Faria (autonomous operation), Al-Hagri (offshore structure maintenance) Master's Supervision: Rushil S. Mahajan (monopile buckling analysis) Current Projects: Decision support systems, life cycle cost modeling, floating wind turbine modeling, autonomous operation frameworks, sustainable offshore structure design As section head at DTU Wind and Energy Systems, he leads an internationally collaborative research group focused on structural integrity assessment, load prediction methodologies, and materials innovation for next-generation wind turbines. The team maintains strong industry partnerships and contributes to global wind energy standards development through participation in initiatives like ISSC.

Vanessa Magnanimoمشاهده پروفایل

استاد

• Discrete Element Method (DEM)
• Soil Micromechanics
• Granular Materials
• +۴ مورد دیگر

Vanessa Magnanimo is a Full Professor at the MESA+ Institute, University of Twente, specializing in the micromechanics of granular materials and clays using advanced Discrete Element Method (DEM) simulations . Her research bridges micro- and macro-scale behavior of soils, focusing on computational modeling , small-strain stiffness , and material stabilization . She has led 107 research outputs and 2 datasets , including studies on wet granular systems , bio-cemented soils , and vegetated soil mechanics . Recent work includes 2025 publications on coarse-grained DEM and mixing indices in industrial processes. Notable activities include keynote talks at international events (2018–2020), visiting researcher appointments at institutions like 3SR Laboratory (2017) and Politecnico di Bari (2020), and editorial contributions. Her research spans geotechnical engineering , powder technology , and multi-scale modeling , with applications in soil stabilization , industrial powder handling , and eco-mechanical systems .

• Additive Manufacturing
• Materials Engineering
• Metal Matrix Composites
• +۴ مورد دیگر

Dr.-Ing. Horst Hill is a Lecturer for Additive Manufacturing at Georg Agricola University of Applied Sciences (THGA) since March 2022, where he teaches in the Master's program "Material Engineering & Industrial Heritage Conservation". Additionally, he serves as Head of Special Materials at Deutsche Edelstahlwerke GmbH (since 2017), overseeing approximately 70 employees in the development of specialty steels and materials. Education: Diploma in Mechanical Engineering (specialization in materials engineering) from Ruhr University Bochum (2003-2008, overall grade: 1.5) Dr.-Ing. (PhD) from Ruhr University Bochum, Department of Materials Science (2008-2011), with dissertation on "Novel metal matrix composites (MMC) to increase the service life of wear-stressed tools in the polymer processing industry" (grade: very good) Research Interests: Dr. Hill's expertise lies at the intersection of advanced materials science and manufacturing technologies. His primary research focuses on additive manufacturing processes , particularly the development of new materials for 3D printing applications. He specializes in metal matrix composites (MMCs) with enhanced wear and corrosion resistance, specialty steels for demanding industrial applications, and powder metallurgy techniques for producing high-performance materials. His work bridges fundamental materials research with practical industrial applications in polymer processing, tooling, and energy sectors. His research encompasses the entire value chain from material design and process optimization to application-specific performance evaluation, with particular emphasis on sustainable manufacturing practices and resource efficiency in materials production. Research Trends: Dr. Hill's publication record demonstrates a clear evolution from fundamental materials research to applied additive manufacturing technologies. His early work (2009-2012) focused on understanding sintering behaviors, microstructural design, and performance optimization of metal matrix composites and plastic mold steels. From 2015 onwards, his research shifted toward additive manufacturing applications, exploring novel materials for 3D printing, graded material structures, and process-specific material developments. Recent publications (2021-2022) showcase cutting-edge work in high-strength austenitic materials for additive manufacturing and compositionally graded structures, reflecting the rapid advancement in the field. Professional Affiliations: Georg Agricola University of Applied Sciences (THGA) - Lecturer for Additive Manufacturing (since 03/2022) AiF e.V. - Reviewer for Subgroup 7.4 "Additive Manufacturing" (since 01/2022) Düsseldorf University of Applied Sciences (HSD) - Teaching assignment in Materials Engineering (09/2021-02/2022) Deutsche Edelstahlwerke GmbH - Various roles including Head of Special Materials (since 2012) Industrial Leadership: At Deutsche Edelstahlwerke, Dr. Hill leads the Special Materials division with approximately 70 employees, focusing on developing and producing high-performance specialty steels and metal matrix composites. His team works on innovative solutions for demanding applications in polymer processing, tooling, and other industrial sectors, combining advanced metallurgy with cutting-edge manufacturing technologies.

Tejinder Singh Virdeeمشاهده پروفایل

استاد

• Particle Physics
• Experimental High Energy Physics
• Higgs Boson Physics
• +۳ مورد دیگر

Sir Tejinder Singh Virdee FRS is a Kenyan-born British experimental particle physicist and Professor of Physics at Imperial College London. He is renowned as one of the founding fathers of the Compact Muon Solenoid (CMS) experiment at CERN's Large Hadron Collider, having originated its concept in 1990 and serving as its project leader (Spokesperson) from 2007-2010. Education: B.Sc. in Physics, Queen Mary College, University of London (1974) Ph.D. in Physics, Imperial College London (1979) Research Interests: Sir Tejinder's research spans experimental high energy physics, with particular focus on particle detector development, calorimetry techniques, and the search for new physics at the TeV scale. His work has been instrumental in the discovery of the Higgs boson through the CMS experiment at the LHC. His research contributions include pioneering work on lead tungstate scintillating crystals for the CMS electromagnetic calorimeter, innovative light collection techniques for hadron calorimetry, and leadership in the design and construction of one of the most complex scientific instruments ever built. Scientific Awards: Royal Medal (2024) - Royal Society Panofsky Prize (2017) - American Physical Society Glazebrook Medal and Prize (2015) - Institute of Physics Special Breakthrough Prize in Fundamental Physics (2013) European Physical Society High Energy Physics Prize (2013) Chadwick Medal and Prize (2009) - Institute of Physics Knight Bachelor (2014) - Queen's Birthday Honours Leadership and Outreach: Beyond his scientific achievements, Sir Tejinder has served on numerous international scientific advisory committees and is actively involved in promoting science education, particularly in Africa and India. He has delivered numerous keynote lectures and public talks worldwide, including the Schrödinger Lecture and Peter Lindsay Lectures at Imperial College. He currently leads efforts to upgrade the CMS detector for the High-Luminosity LHC era, focusing on novel silicon-based calorimeter technologies to achieve unprecedented precision in particle measurements.

• Plasma Physics
• Fusion Energy
• Electromagnetic Engineering
• +۵ مورد دیگر

Thomas Jonsson is an Associate Professor at KTH Royal Institute of Technology in the Division of Electromagnetic Engineering and Fusion Science within the School of Electrical Engineering and Computer Science. His research focuses on fusion plasma physics with particular emphasis on modeling plasma heating, stability, and confinement. He is actively involved in studies of plasma heating by radio waves at the JET experiment in Oxford and serves as task coordinator for heating and current drive modeling within the EUROfusion Consortium. Jonsson's research interests span plasma physics, fusion energy, electromagnetic engineering, radio frequency heating, and computational plasma modeling. His work centers on the development and application of advanced computational methods for understanding wave-particle interactions in fusion plasmas, particularly ion cyclotron resonance heating (ICRH) techniques. He investigates plasma stability mechanisms, confinement properties, and heating optimization strategies for tokamak devices, with direct applications to ITER and future fusion reactors. His research bridges theoretical modeling with experimental validation at major international facilities. Analysis of Jonsson's recent publications reveals a strong focus on computational methods for radio frequency wave propagation in tokamak plasmas, disruption prediction techniques, and experimental validation of heating schemes. His work demonstrates increasing sophistication in modeling approaches, with growing integration of machine learning techniques for plasma control. The research spans fundamental plasma physics to applied engineering solutions for fusion reactors, with particular attention to ITER-relevant scenarios and DEMO design considerations. As an educator, Jonsson teaches a range of courses including Plasma Physics (EF2200), Electromagnetic Waves in Dispersive Media (ED2210), and Project in Fusion Research (ED2247), serving as examiner and course responsible for several advanced courses. His teaching spans both Master's level courses in electromagnetic theory and plasma physics, as well as specialized PhD courses on charged particle motion, plasma waves, and fusion research. Jonsson maintains active collaborations with major European fusion research institutions, particularly through the EUROfusion Consortium, and contributes to the JET experimental program. His work supports the international effort toward practical fusion energy by addressing critical challenges in plasma heating and stability for next-generation fusion devices.

• Hydrogeology
• Groundwater
• Stochastic Modelling
• +۱۶ مورد دیگر

Dr. Alraune Zech is an Assistant Professor for Computational Environmental Hydrogeology at Utrecht University, Faculty of Geosciences, Department of Earth Sciences, Hydrogeology group. Her research focuses on groundwater flow and transport processes in heterogeneous environments, with emphasis on practical applications in contaminated aquifers, PFAS remediation, and construction-related groundwater issues. She is affiliated with the Helmholtz-Centre for Environmental Research and serves as convener for EGU sessions on contaminant transport. Dr. Zech's educational background includes: PhD in Computational Hydrosystems from Friedrich-Schiller-University Jena and Helmholtz-Centre for Environmental Research (2010-2013) Prediploma Degree in Business Mathematics from University Leipzig (2011) Diploma in Mathematics with minor in Chemistry from University Leipzig (2003-2009) Her research interests span hydrogeology, groundwater modeling, and environmental remediation. She specializes in stochastic and computational modeling of subsurface processes, with focus on contaminated aquifers, PFAS removal strategies, biodegradation, bioremediation, and heat transport in the subsurface. Her work bridges theoretical approaches with practical applications in construction engineering and environmental protection. Analysis of Dr. Zech's recent publications (2021-2025) reveals strong focus on advancing hydrogeological modeling techniques, particularly in aquifer heterogeneity characterization, machine learning applications in hydrogeology, and practical remediation strategies. Her work spans fundamental research on pore-scale processes to field-scale applications, with increasing integration of artificial intelligence methods for solving complex groundwater problems. Dr. Zech leads several significant research projects: Living Lab PFAS Remediation (2024-2028): Developing strategies for PFAS contamination SilPit (2024-2028): Studying erosion of silicate grouting in construction pits MIBIREM (2022-2027): Creating innovative technological toolbox for bioremediation She actively supervises multiple PhD students including Alexandra Hockin, Kim Bartsch, Mahammad Valibeknejad, Sona Aseyednezad, Hannah Gebhardt, and Martijn van Leer. Her research is supported by funding from the Ministry of Infrastructure and Water Management, NWO, and EU Horizon programs.