Angela Sasic Kalagasidis is a Professor and Department Head at Chalmers University of Technology , leading the Building Physics research group. She serves as a board member of the Moisture Center at Lund University of Technology , contributing to interdisciplinary research in building science. Building Physics Heat and Mass Transfer Energy Efficiency Moisture Safety Indoor VOC Emissions Climate Change Adaptation Her recent publications focus on aerogel-based materials for insulation, urban heat island mitigation , and thermal energy storage systems . Key methodologies include CFD simulations , field testing , and life cycle assessment frameworks . Research trends show emphasis on: Advanced computational tools for hygrothermal analysis Integration of phase change materials in building systems Climate resilience in building envelopes Optimization of ventilation and moisture control
Nikolai Denkov is a Professor of Physical Chemistry at Sofia University's Faculty of Chemistry and Pharmacy, leading the Laboratory of Active Formulations and Materials since 2017. His administrative roles include Head of the Department of Chemical Engineering (2008–2015), Deputy Minister (2014–2016), and Minister of Education and Science of Bulgaria (2017). He holds a DSc from Sofia University (2007) and has authored over 160 peer-reviewed articles with an h-index of 45. Research focuses on colloid science, surfactant systems, and interfacial phenomena, including foam rheology, emulsion stability, and self-shaping of oil droplets. His studies bridge fundamental physics and industrial applications in cleaning agents, food technology, and pharmaceuticals. Key contributions include discovering antifoam mechanisms and self-emulsification processes. Recipient of the Solvay Prize (2019) and Bulgaria's highest scientific honor, 'Pythagoras' (2010) Supervised 12 PhD students and led 40+ industry-funded projects with companies like Unilever and BASF Active in international organizations: IACIS Council member, ERC panel chair, and ESA advisor His work emphasizes translational research, with patents in formulation technologies and over 7,300 citations. Current research explores smart materials and micro/nanostructured systems.
Professor Gary Hampson is a Professor of Sedimentary Geology at the Department of Earth Science & Engineering, Faculty of Engineering, Imperial College London. His roles include Director of Undergraduate Studies (2023–present) and former Director of the Petroleum Geoscience MSc course. He holds affiliations with the Energy Futures Lab, Grantham Institute, and NORMS research groups. Hampson's research focuses on depositional systems, stratigraphy, and subsurface reservoir characterization, with applications to CO2 storage and fluid flow dynamics. Education: PhD in Sedimentology and Sequence Stratigraphy, University of Liverpool (1991–1995) BA in Natural Sciences (Geology), University of Cambridge (1988–1991) Research Interests: His work integrates sedimentology, stratigraphy, and reservoir modeling to understand subsurface fluid dynamics. Key areas include sediment dispersal patterns, stratigraphic architecture, and the impact of heterogeneity on reservoir performance. Recent studies emphasize CO2 storage potential in sedimentary systems and the application of advanced modeling techniques. Articles Trends: Recent publications highlight CO2 storage mechanisms, sedimentological heterogeneity in reservoirs, and the use of machine learning in geological analysis. His work bridges theoretical stratigraphy with applied reservoir engineering, particularly in carbonates and fluvio-deltaic systems. Awards: 2020 IAMG Best Paper Award 2016 AAPG Bennison Lecturer 2010 SEPM Excellence Awards Advising & Grants: Hampson has advised numerous students and led projects on reservoir characterization. His editorial roles include co-chief editor of the Journal of Sedimentary Research and guest editorships in Petroleum Geoscience. Labs/Teams: Active in the Energy Futures Lab and NORMS initiative, focusing on novel reservoir modeling and simulation for subsurface energy systems.
Ramses Martinez is an Assistant Professor in the Department of Industrial Engineering and Biomedical Engineering at Purdue University . He holds a B.A. in Applied Physics from Universidad Autonoma de Madrid (2004) and a Ph.D. in Physics and Materials Science from the Spanish National Research Council (CSIC) in 2009. Prior to joining Purdue, he conducted postdoctoral research in the lab of Prof. George M. Whitesides at Harvard University, focusing on nanofabrication, microfluidics, and soft robotics. Education B.A. in Applied Physics, Universidad Autonoma de Madrid (2004) Ph.D. in Physics and Materials Science, Spanish National Research Council (CSIC) (2009) His research bridges soft robotics , flexible electronics , and nanofabrication , with a focus on creating self-powered e-textiles , omniphobic paper-based devices , and programmable mechanical metamaterials . His work has led to over 25 publications and 9 patents, emphasizing practical applications in health monitoring and industrial automation . Notable projects include waterproof electronic decals for biofluid monitoring, smart bandages for chronic wound detection, and laser nanoforming methods for scalable metallic structures. His research has been recognized through the Fulbright Fellowship and the Marie Curie IOF Grant .
Andrew Ireson is a Professor at the School of Environment and Sustainability, University of Saskatchewan, and a Member of the Global Institute for Water Security. His research focuses on subsurface hydrology, climate change impacts on water resources, land-water management, and sustainable natural resource development. He has contributed significantly to understanding soil moisture dynamics, infiltration processes in frozen soils, and groundwater-surface water interactions in boreal and prairie ecosystems. His recent work emphasizes advanced numerical modeling techniques for hydrological processes, including Richards’ Equation solutions and soil freezing dynamics. He has also developed frameworks for integrating water quality simulations with existing hydrological models (e.g., OpenWQ). His publications highlight themes like climate change adaptation, seasonal hydrology, and the role of ephemeral ponds in groundwater recharge. No scientific awards or grants are listed here, though his extensive publication record underscores his scholarly contributions. His advising roles are not detailed in the provided texts.
Mustafa Onur is the McMan Professor and Chair of Petroleum Engineering at The University of Tulsa, where he directs the TU Petroleum Reservoir Exploitation Projects (TUPREP). He holds a Ph.D. and M.S. in Petroleum Engineering from The University of Tulsa and a B.S. from Middle East Technical University. Previously, he held professorships at Istanbul Technical University and Universiti Teknologi Petronas (Malaysia), including a Schlumberger Chair position. Research Focus: Dr. Onur specializes in inverse problem theory, mathematical optimization, and data science applied to reservoir management, geothermal systems, and uncertainty quantification. His work integrates machine learning with traditional reservoir engineering to solve complex problems in energy extraction and carbon sequestration. Publication Trends (2024-2025): His 15 most recent articles emphasize deep learning-based reservoir surrogates, CO₂ storage optimization, geothermal energy extraction, and constrained production optimization. Key innovations include Embed-to-Control frameworks, physics-driven interwell simulators, and stochastic optimization algorithms for uncertainty management in subsurface systems. Awards & Recognition: 2010 SPE Formation Evaluation Award 2014 SPE Distinguished Member 2018 SPE Reservoir Description and Dynamics Award Leadership: As TUPREP director, he leads advanced research in reservoir exploitation, focusing on practical applications of AI and optimization in petroleum and geothermal engineering. He serves as Associate Editor for SPE Journal and Journal of Petroleum Science and Engineering .
Malay Kumar Das is a Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur, specializing in Fluid and Thermal Science. His academic journey includes a PhD from Pennsylvania State University (2008), M.Tech from IIT Kanpur (2003), and B.E. from Bengal Engineering College, Shibpur (1989). Previously, he worked at the West Bengal Power Development Corporation from 1990 to 2001 before transitioning to academia. His research focuses on Energy Conversion and Storage, Hydrodynamic Instability, and Thermal Science. Dr. Das's work bridges fundamental fluid dynamics with practical applications in energy systems and biomedical engineering. His expertise spans computational fluid dynamics, heat transfer phenomena, and energy conversion technologies. Analysis of Dr. Das's recent publications reveals a strong trend toward interdisciplinary research, particularly at the intersection of fluid mechanics with biomedical applications (such as blood flow modeling in cerebral aneurysms) and sustainable energy technologies (including fuel cells, methane production, and nanofluid applications). His work demonstrates both theoretical depth and practical relevance to contemporary engineering challenges. Dr. Das actively supervises research students, currently guiding 9 PhD candidates and having successfully completed 22 MTech theses with 3 more in progress. His professional activities reflect a commitment to advancing knowledge in thermal and fluid sciences while training the next generation of engineers. Outside academic pursuits, he engages in adventure sports, photography, and aerobics.
Yali Jia, PhD is Professor of Ophthalmology and Biomedical Engineering and Jennie P. Weeks Professor of Ophthalmology at Oregon Health & Science University (OHSU). She serves as associate director of the Center for Ophthalmic Optics & Lasers and co-founded the International Ocular Circulation Society. Recognized as a world-leading expert in advanced ophthalmic imaging, Dr. Jia pioneered functional optical coherence tomography (OCT) and OCT angiography (OCTA) technologies with over 180 peer-reviewed publications, 13,000+ citations (h-index=48), and six co-edited books. Her research centers on Optical Coherence Tomography, OCT angiography, retinal imaging, and artificial intelligence applications for ophthalmic diagnostics. Dr. Jia's revolutionary SSADA technique enabled clinical deployment of OCTA across 1,000+ international centers. Current work integrates AI with multimodal imaging for automated pathology detection, widefield pediatric applications, and quantitative perfusion analysis. Recent breakthroughs include OCT oximetry (PNAS, 2020) and deep learning models for diabetic retinopathy classification (PRER, 2021). Analysis of her 15 most recent publications (2023-2025) reveals dominant trends in AI-enhanced OCT/OCTA systems, with 80% incorporating machine learning for vascular segmentation and pathology detection. Research spans pediatric applications (Retinopathy of Prematurity), neuro-ophthalmology (MS/glaucoma differentiation), and widefield imaging, demonstrating consistent focus on clinical translation of imaging biomarkers. Dr. Jia's scientific honors include: Special Scholar Award from Research to Prevent Blindness Carl Camras Translation Research Award from ARVO Fellow of the American Institute for Medical and Biological Engineering Senior Member of the National Academy of Inventors As principal investigator on federal, foundation, and industry-sponsored grants, she has secured funding for clinical translation of OCTA with over 10 licensed patents. Her NIH-funded projects focus on AI-driven diagnostic systems and handheld pediatric OCT devices, emphasizing real-world clinical implementation. Leading the imaging research arm of OHSU's Center for Ophthalmic Optics & Lasers, Dr. Jia directs a multidisciplinary team developing next-generation OCT systems. Her lab specializes in projection-resolved angiography, oximetry, and multimodal platforms for neuronal-vascular imaging, with active collaborations across neurology, pediatrics, and biomedical engineering departments.
Professor Duncan Lockerby is a faculty member in the Fluid Dynamics Research Centre at the University of Warwick, School of Engineering. His research focuses on multiscale modeling of micro and nanoscale fluid flows, including non-equilibrium effects, hybrid simulation techniques, and fluctuating hydrodynamics. He has led projects on drag reduction, rarefied gas dynamics, and nanoscale interfacial phenomena. Professorial Rank: Professor Affiliations: Fluid Dynamics Research Centre, University of Warwick Research interests span micro/nano-particle flows, multiscale modeling (hybrid CFD-particle methods, extended hydrodynamics), and biological fluid mechanics. Notable work includes developing novel drag prediction methods and investigating nanoscale thin film instabilities. His recent articles (2025) address advanced boundary conditions for micro/nano particles, DSMC-CFD coupling, and slip flow analysis. He has secured significant grants including EPSRC funding for rarefied gas flow simulation (£434k) and dynamic wetting studies (£539k). Teaching interests include fluid mechanics and computational methods. Office hours: Wednesdays 11am-12pm in F326.
Klaus Mosthaf is an Associate Professor in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU), where he conducts research on contaminant transport and numerical modeling in porous and fractured media. His work focuses on protecting groundwater resources through advanced modeling of contamination from substances like PFAS, chlorinated solvents, and pesticides. He is actively involved in teaching and academic leadership, coordinating the Nordic Masters program Enviro5Tech and the Sino-Danish Center module on Pollutants and Pollution Control. Research Interests: Transport processes in porous media Groundwater contamination and remediation Numerical modeling of reactive transport Aquifer Thermal Energy Storage (ATES) Fractured and variably saturated geologies Coupled porous-medium and free-flow systems His recent publications reveal a strong focus on PFAS fate, bioremediation in ATES systems, and tracer-based characterization of glacial tills. He employs tools like COMSOL Multiphysics, Python, and FEFlow to develop predictive models grounded in laboratory and field data. Scientific Contributions: Active contributor to over 60 publications in hydrogeology and environmental engineering Key developer of models for coupled processes in subsurface systems Organizer and speaker at international conferences on multiphase flow and contaminant transport Advising and Grants: Klaus Mosthaf supervises multiple PhD students and has coordinated significant research projects, including those on PFAS transport and bioremediation. He is the main supervisor of two active PhD projects and has previously co-supervised two others. His leadership extends to board membership in the Danish Academy of Technical Sciences on Soil and Groundwater (ATV Jord og Grundvand), where he fosters collaboration among academia, consultants, and public authorities. Laboratories and Research Groups: His work is conducted within DTU Sustain, a leading research environment in environmental engineering, where he collaborates with experts in hydrogeology, bioremediation, and sustainable technologies. He is deeply integrated into a network of national and international collaborators focused on groundwater protection and sustainable subsurface utilization.
Yashar Mehmani is an Assistant Professor in the Leone Family Department of Energy and Mineral Engineering at Pennsylvania State University. His research focuses on porous media flow and mechanics, with an emphasis on multiscale computing to bridge microscale physics and macroscale observations. Applications include subsurface energy systems, CO2 storage, and groundwater contamination. He holds a faculty position within the College of Earth and Mineral Sciences and is affiliated with the IEE (Institute for Energy and the Environment). His research interests span computational geomechanics, multiphase flow modeling, and pore-scale to continuum upscaling. Recent work includes developing machine learning-enhanced preconditioning methods for porous media simulations and kinetic theories for bubble dynamics in subsurface systems. He has received a NSF CAREER Award (2022) for integrating computational and experimental approaches in porous material studies. Key Projects: Impact of CO2 Mineralization on Microstructure Evolution, Multiscale Preconditioning Algorithms Grants: NSF CAREER Award (2022), IEE Seed Grants (2023) Dr. Mehmani collaborates with interdisciplinary teams on energy transition challenges. His lab develops advanced numerical tools for simulating subsurface processes at multiple scales, with applications in carbon sequestration and geothermal energy systems.
Ole Petter Ottersen is a Professor at the University of Oslo’s Faculty of Medicine, affiliated with the Institute of Basic Medical Sciences. He previously served as Rector of the University of Oslo (2009–2017) and President of Karolinska Institutet (2017–2023). Ottersen holds dual roles as a Visiting Professor at Charité – Universitätsmedizin Berlin’s Global Health Institute and an affiliated member of Karolinska’s Department of Neuroscience and Department of Global Public Health. He is also Vice President of the Virchow Foundation and chairs the Lancet Commission on Global Governance for Health 2.0. His career spans academic leadership, research coordination, and international health policy advocacy. Education: He earned an M.D. (1980) and Ph.D. in Neuroscience (1982) from the University of Oslo. Ottersen has held academic positions including Research Fellow (1978–1983), Associate Professor (1983–1992), and has coordinated prestigious EU and Nordic grants. His research priorities include academic quality, internationalization, innovation, and dissemination. Research interests focus on molecular neuroscience (e.g., aquaporin-4 channels in brain water dynamics) and global health governance. His work bridges basic science and policy, addressing health inequity, pandemic preparedness, and sustainable healthcare. Recent publications emphasize systemic approaches to global crises, vaccine equity, and interdisciplinary solutions for health challenges. Ottersen has received the Anders Jahre Medical Prize (twice), the Lundbeck Nordic Research Prize, and honorary doctorates from multiple institutions. His awards include France’s Ordre national du Mérite (2019) and Japan’s Order of the Rising Sun (2023). He has led prize committees, including the Kavli Prize in Neuroscience. He has coordinated major national and international grants, such as Norway’s Functional Genomics Program (FUGE) and the EU’s Biomed and NeuroImage projects. His advisory roles include the European Research Council (ERC), WHO-related initiatives, and boards like Oslo University Hospital and NordForsk. Ottersen’s teaching spans medical students since 1976, covering neurobiology, histology, and anatomy. Key initiatives include founding the Guild of European Research-Intensive Universities and leading the Lancet Commission on Global Governance for Health. He collaborates with institutions like EMBL-Norway, Africa CDC, and the Global Virus Network, emphasizing intersectoral action and equitable global health systems.
Seyyed A. Hosseini is a Research Professor at the Bureau of Economic Geology (BEG), Jackson School of Geosciences, University of Texas at Austin . His work focuses on subsurface fluid dynamics with applications to geological carbon storage (CO 2 sequestration) and underground hydrogen storage . Education: Ph.D. in Petroleum Engineering (University of Tulsa, 2008) M.S. in Biotechnology (Sharif University of Technology, 2005) B.S. in Chemical Engineering (University of Isfahan, 2002) Research Interests include: Multiphase fluid flow in porous media Pressure-pulse testing for CO 2 monitoring Reservoir engineering fundamentals Machine learning for subsurface energy projects Geomechanical impacts of fluid injection Environmental risk assessment for CO 2 and hydrogen storage Article Trends reveal his expertise in developing applied methodologies for CO 2 and hydrogen storage, emphasizing machine learning integration , 3D modeling , and fault leakage detection . Recent work explores deep learning workflows and microfluidic experiments for subsurface energy systems. Grants and Funding PI on a $1.5M DOE/NETL grant (2015) to study brine extraction for CO 2 storage pressure management Collaborative Initiatives include the SMART program for machine learning in CCS and partnerships with institutions in Mississippi, Texas, and the Gulf Coast . His research extends to laboratory experimentation following BEG's facility upgrades.
John Dolbow is a Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University, with secondary appointments in Civil and Environmental Engineering and Mathematics. He is a Bass Fellow and holds leadership roles as Associate Vice President for Research & Innovation since 2024. Education: B.S.M.E. (University of New Hampshire, 1995), M.S. (Northwestern, 1998), Ph.D. (Northwestern, 1999) Research Focus: Computational fracture mechanics, phase-field modeling, hydrogels, and multiphysics problems in geomechanics and biomedical engineering His recent work advances phase-field methods for fracture nucleation, hydraulic fracturing in geothermal systems, and laser lithotripsy simulations. Dolbow leads Duke's Computational Mechanics Laboratory, integrating civil, mechanical, and materials science approaches. Key contributions include: Erratum corrections for computational mechanics frameworks Nitsche-stabilized methods for interface constraints Phase-field models for surfactant-driven particle raft fracture Multi-resolution approaches for hydraulic fracture simulation Embedded FEM techniques for moving boundary problems Scientific Recognition: R. H. Gallagher Young Investigator Award (2005) Robert J. Melosh Medal for Finite Element Analysis (1999) DOE Computational Science Graduate Fellowship (1997) DOE CSGF Steering Committee Chair
Andreas Carlson is a Professor at the University of Oslo's Department of Mechanics. His research focuses on fluid dynamics, interfacial flows, and biophysics, with particular emphasis on elastohydrodynamics, membrane adhesion, and numerical modeling. He holds a PhD from the Royal Institute of Technology (2012) and was a Post-Doctoral Fellow at Harvard University (2012-2015). Key awards include the Silver Medal ERCOFTAC Leonardo Da Vinci competition (2012) and the Sigvardt Eklund's Award (2008). His work spans academic staff roles and active participation in projects like LUBRIBOT (sustainable soft robotics) and DyWeSS (dynamic wetting on soft materials). Carlson's research explores fluid dynamics in complex systems, including droplet behavior, soft matter physics, and biomembrane mechanics. His recent studies investigate phenomena like viscoelastic film spreading, fiber-based droplet control, and biomembrane stability. He contributes to courses such as MEK3230 - Fluid Mechanics and collaborates internationally on projects involving fluid-structure interactions and environmental engineering. Education: PhD in Mechanics, Royal Institute of Technology (2007-2012) Post-Doctoral Fellow at Harvard University (2012-2015) Key Projects: A sustainable soft robot (LUBRIBOT) Dynamic wetting on soft solids (DyWeSS) Nano- and micro-poro-elastic fog nets Research Groups: Interface Dynamics in Geophysical Flows (EarthFlows) Mechanics
