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Satoshi ShimadaView profile

Lecturer

• Renal Physiology
• Hypertension
• Kidney Disease Pathophysiology
• +3 more

Satoshi Shimada, PhD, is an Instructor in the Department of Physiology at the Medical College of Wisconsin. His research focuses on renal physiology, hypertension mechanisms, and kidney metabolism, with a particular emphasis on cardiorenal syndrome and salt-sensitive hypertension. He completed his MD and PhD at Tohoku University in Japan, followed by residency training and postdoctoral work under Dr. Allen Cowley. His technical expertise includes chronic renal hemodynamic measurements, surgical techniques in rodents, and metabolomic analyses. Education: PhD, Graduate School of Medicine, Tohoku University (2019) MD, School of Medicine, Tohoku University (2013) Residency in Internal Medicine, South Miyagi Medical Center (2012–2015) Postdoctoral Research Fellow, Medical College of Wisconsin (2018–present) Research Interests: Dr. Shimada investigates mechanisms underlying renal fibrosis, hypertension-induced kidney damage, and metabolic adaptations to high-salt diets. His work combines advanced surgical techniques (e.g., chronic renal blood flow monitoring) and molecular approaches to study pathways like mTOR signaling, oxidative stress, and mitochondrial dysfunction. Recent findings include the role of NADPH oxidase 4 in renal oxygen consumption and the impact of mTORC2 inhibition on sodium transport. Article Trends: His publications emphasize high-salt diet effects on renal metabolism, mitochondrial dysfunction in Dahl salt-sensitive rats, and the interplay between renal hemodynamics and inflammation. Key themes include metabolic shifts in proximal tubules, oxidative stress pathways, and mechanistic insights into salt-sensitive hypertension. Awards: 2021 Renal Section Research Recognition Award 2019 AHA/ASH New Investigator Award 2017 Japanese Society of Pathophysiology Award Labs/Teams: He conducts research in Dr. Allen Cowley’s renowned renal physiology laboratory, focusing on developing novel methods for studying kidney function in conscious animals to minimize anesthesia-induced artifacts.

Rezwanul WahidView profile

Adjunct Associate Professor

• Vaccine Development
• Immunology
• Infectious Diseases
• +3 more

Dr. Rezwanul Wahid is an Adjunct Associate Professor in Pediatrics at the University of Maryland School of Medicine. He specializes in vaccine immunology, focusing on evaluating immunogenicity of vaccines and understanding immune mechanisms against pathogens like Salmonella, Shigella, and Norovirus. His research employs advanced techniques such as multi-color flow cytometry and ELISPOT assays to study T/B cell responses and antibody functions. Education: Bachelor of Medicine and Surgery (MBBS), Dhaka Medical College, Bangladesh (1987) Ph.D., Kagoshima University School of Medicine, Japan (1996) Clinical Fellow, Dhaka Children’s Hospital, Pediatrics (1987-1988) Postdoctoral Research Fellowships at Kagoshima University (1999-2001) and University of Maryland Center for Vaccine Development (2001-2007) Research Focus: Translational research on vaccine-induced immune responses, particularly cross-reactive T/B cell immunity against enteric pathogens. His work aims to identify correlates of protection for typhoid, paratyphoid, shigellosis, and Ebola vaccines. Key Contributions: Elucidated cross-reactive CD4+/CD8+ T cell responses induced by Ty21a typhoid vaccine. Discovered opsonophagocytic antibodies in Typhi and Paratyphi vaccines. Developed mathematical models to predict Shigella vaccine efficacy. Grants & Collaborations: NIH/NIAID grants (R01 AI36525, U19 AI109776) for studying typhoid vaccine mechanisms. Collaborations on Ebola vaccine trials and dmLT adjuvant development. Labs/Teams: Part of the Enteric Center for Excellence in Translational Research (Enteric CETR) and the University of Maryland Vaccine Development Program.

Roy W. SchlischeView profile

Professor

• Structural Geology
• Tectonics
• Experimental Modeling
• +4 more

Roy W. Schlische is a Professor in the Department of Earth and Planetary Sciences at Rutgers, The State University of New Jersey. His research focuses on structural geology, tectonics, and experimental modeling, particularly in understanding normal-fault systems, continental rifting, and passive margin development. He leads the Experimental Modeling Laboratory and the Structure/Tectonics Group at Rutgers. Schlische holds a B.A. from Rutgers University and advanced degrees (M.A., M.Phil., Ph.D.) from Columbia University. His research integrates field studies, scaled experiments, and seismic data interpretation, addressing topics such as rift basin evolution, fault mechanics, and applications to petroleum systems and seismic hazard assessment. Schlische teaches undergraduate and graduate courses including Structural Geology, Earthquakes & Volcanoes, and advanced tectonics topics. Notable contributions include studies on the Newark Rift Basin, the Orpheus rift basin, and Europa's ice tectonics. His work has been published in journals like Journal of Structural Geology , Icarus , and Marine & Petroleum Geology . Schlische collaborates extensively with global researchers, contributing to international conferences and guiding interdisciplinary projects. His experimental work has advanced understanding of fault behavior and deformation mechanisms in rift systems.

Marian CastroView profile

Associate Professor

• Supramolecular Chemistry
• GPCR Pharmacology
• Fluorescence Spectroscopy
• +2 more

Dr. Marian Castro is an Associate Professor in Physical Chemistry at the University of Santiago de Compostela. Her research focuses on supramolecular chemistry and GPCR pharmacology with applications in neuropharmacology and drug discovery. Education: PhD in Molecular Medicine and Master in Biomedical Research from the University of Santiago de Compostela. Research integrates fluorescence spectroscopy and computational methods to study molecular recognition processes in biological systems, particularly neurotransmitter receptors and enzyme targets. Her group develops multitarget ligands for neurological disorders and novel drug delivery systems. Recent publications (2015-2022) demonstrate strong focus on receptor biochemistry, antipsychotic drug design, and nanomedicine approaches for neurodegenerative diseases. Extensive collaborative network includes institutions across Europe, India, and Israel. Laboratory facilities include fluorescence correlation spectroscopy and molecular modeling capabilities.

• Neurodegenerative Diseases
• Alzheimer's Disease
• Parkinson's Disease
• +6 more

Professor Johannes Attems is a leading academic at Newcastle University specializing in neurodegenerative diseases, particularly Alzheimer's disease, Parkinson's disease, and Lewy body dementias. His research focuses on neuropathological mechanisms, protein aggregation (tau, amyloid-β, α-synuclein), and the intersection of aging-related pathologies. He has contributed extensively to understanding cerebral amyloid angiopathy, mixed pathologies in dementia, and the role of genetic and environmental factors in neurodegeneration. Education: Formal qualifications not explicitly listed in text. Affiliations: Brains for Dementia Research Network, UK Medical Research Council Brain Banks. His work bridges basic neuroscience with clinical diagnostics, including studies on biomarkers (e.g., platelet antioxidants, imaging correlates like DaTSCAN) and therapeutic targets (e.g., adrenergic receptors, montelukast). He collaborates internationally on large-scale neuropathological cohorts, examining how comorbidities (e.g., vascular disease, hearing loss) influence dementia progression. Key contributions include advancing LATE-NC staging criteria, identifying α-synuclein pathology in monogenic disorders, and exploring mitochondrial dysfunction in Parkinson's disease. His research emphasizes the heterogeneity of neurodegenerative diseases and the need for precision medicine approaches.

Martyn WakemanView profile

Researcher

• Advanced Composites
• Sustainability Strategies
• Additive Manufacturing/3D Printing
• +6 more

Martyn Wakeman is a Researcher and Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), split between the Laboratory for Processing of Advanced Composites (60%) and the Department of Mechanical Engineering (40%). Education: PhD in Mechanical Engineering, University of Nottingham (1993-1998) BEng in Mechanical Engineering, University of Nottingham (1990-1993) Research Interests: Focuses on advanced composites for net-zero transitions, including 3D printing, sustainability, and industrial applications. Specializes in thermoplastic composites, additive manufacturing, and circular economy strategies. Key areas include cost modeling, automotive composites, and functionalized materials. Teaching: MSE-440 Composites Technology (co-lead) ME-203 Sustainable Products and Supply Chains (co-lead) MSE-463 Towards Sustainable Materials (co-lead) MGT-555 Innovation and Entrepreneurship in Engineering (guest lecturer) Professional Development: Cambridge programs in sustainability, finance, and entrepreneurship (2021–2023) Innosuisse entrepreneurship training (2022) Labs: Leads research at LPAC, focusing on composites sustainability and additive manufacturing.

• Machine Learning
• Deep Learning
• Neural Networks
• +7 more

Sung-Bae Cho is a prolific researcher in computer science with a publication record spanning over three decades from 1990 to 2025, demonstrating sustained academic productivity and research leadership. Their work primarily focuses on machine learning, neural networks, and their applications across diverse domains including cybersecurity, healthcare, and intelligent systems. Cho's research interests center around advanced machine learning techniques including deep learning architectures, Bayesian networks, and context-aware systems. Their work shows a consistent evolution from traditional neural networks to modern deep learning approaches, with recent publications emphasizing graph neural networks, federated learning, and anomaly detection systems. The research demonstrates strong methodological rigor with applications in practical domains such as traffic prediction, medical diagnosis, and security systems. The publication pattern reveals significant research productivity with multiple high-impact papers annually in reputable venues including IEEE Access, Neurocomputing, and Expert Systems with Applications. Recent work shows particular emphasis on addressing contemporary challenges in machine learning including continual learning, few-shot learning, and privacy-preserving approaches in federated settings. The research demonstrates both theoretical contributions and practical implementations across various application domains. Cho has cultivated an extensive collaborative network with numerous co-authors including Kyung-Joong Kim, Satchidananda Dehuri, Jin-Hyuk Hong, and Seok-Jun Bu, suggesting leadership in research groups and projects. The collaborative pattern indicates supervision of junior researchers and students, though specific advisee relationships aren't explicitly documented in the publication metadata. The researcher maintains active contributions to laboratory and team-based research, with recent publications indicating involvement in projects related to healthcare AI, cybersecurity systems, and intelligent transportation. Current research directions appear focused on addressing limitations in deep learning including catastrophic forgetting, data scarcity, and privacy concerns through novel architectural and training approaches.

Douglas A. WiensView profile

Professor

• Seismology
• Geophysics
• Glaciology
• +3 more

Douglas A. Wiens is a Professor of Earth, Environmental, and Planetary Sciences at Washington University in St. Louis. He is also affiliated with the Seismology Research Group and the McDonnell Center for the Space Sciences. His work focuses on seismic imaging of Earth’s interior, particularly in subduction zones and Antarctica’s land-sea-ice dynamics. Wiens holds the Robert S. Brookings Distinguished Professor title, reflecting his academic standing. Education: PhD in Earth Sciences from Northwestern University. His career has involved pioneering deployments of autonomous seismographs in Antarctica, achieving the first successful year-long unattended recordings. He has conducted fieldwork across eight Antarctic expeditions and multiple subduction zone studies in the Pacific and Alaska. Research interests include seismotectonics , mantle dynamics , and glacial isostatic adjustment . He uses cutting-edge methods like adjoint tomography and distributed acoustic sensing (DAS) to study crustal and mantle structure beneath ice sheets, magma generation in island chains, and earthquake mechanisms in subduction zones. His work bridges geophysics with climate science, addressing how Earth’s solid structure influences ice sheet stability and sea level rise projections. Recent articles emphasize seismic studies of Antarctica’s lithosphere, Alaska’s subduction zone architecture, and Patagonian slab window dynamics. These publications highlight interdisciplinary approaches to understanding subduction processes, mantle hydration, and ice-land interactions. Wiens’ research also explores how past ice mass changes (e.g., Little Ice Age retreat) affect present-day tectonic activity. He has led major grants such as the NSF-funded Collaborative Research on subduction initiation and Antarctic lithosphere studies, as well as the RAPID response to the 2021 Chignik Earthquake. His work with the Antarctic Network-Polar Earth Observing Network has produced foundational datasets for polar geophysical studies. Labs/Teams: Wiens collaborates with the Seismology Research Group and McDonnell Center for Space Sciences. He also contributed to the Antarctic Network-Polar Earth Observing Network, advancing autonomous seismic measurement practices in extreme environments.

• Porous Materials
• Permeability Analysis
• Multiphase Flow
• +5 more

Julien Maes is an Assistant Professor at the School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, and a member of the Institute for GeoEnergy Engineering. His research focuses on porous media, permeability, multiphase flow, and reactive transport, with applications in CO₂ storage, geothermal energy, and digital rock physics. He has developed novel methodologies for modeling subsurface processes using machine learning, microfluidics, and multiscale simulations. Key research interests include carbonate reservoir characterization, fracture conductivity correction, and the integration of AI-driven models for environmental and energy systems. His work contributes to Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13). Recent publications highlight advancements in surrogate modeling for geothermal reservoirs, hybrid macropore-Darcy approaches for permeability estimation, and deep learning-based prediction of reactive dissolution. He has collaborated on open-source tools like the Carbonate Reservoir Group HWU dataset (Bitbucket repository), enabling reproducible research in porous media studies. Labs/Teams: Carbonate Reservoir Group at Heriot-Watt University Grants/Advising: No specific grants or advisees listed, but active in collaborative research projects

• Power Systems Engineering
• Electrical Engineering
• Renewable Energy Integration
• +3 more

Behnam Tamimi is a Sessional Lecturer at the University of Waterloo, specializing in power systems engineering and control systems. His research focuses on microgrid interfaces, voltage stability, and hybrid power flow controllers. He contributes to IEEE standards through task forces on voltage stability analysis and security assessment. His work emphasizes practical applications of theoretical models, including prototype development and field testing of control systems for distribution networks. Key areas of exploration include unbalanced network conditions, small-signal oscillatory dynamics, and the integration of renewable energy sources into existing grids. Tamimi's contributions to benchmark systems and test models have advanced industry practices in grid reliability and resilience. His research bridges academic theory with real-world grid challenges, addressing both steady-state and dynamic system behaviors.

• Health Planning
• Operational Research
• Resource Planning in Healthcare
• +3 more

Anders N. Gullhav is an Associate Professor at the Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology (NTNU). His research focuses on resource planning and control in healthcare systems and cloud computing optimization. He holds a PhD in Optimization-Based Resource Allocation in Cloud Computing from NTNU (2016). Key areas include surgical scheduling, MRI imaging resource allocation, emergency patient flow simulation, and nurse rostering strategies in healthcare units. His work combines operational research techniques such as combinatorial optimization, discrete event simulation, and large neighborhood search heuristics. Notable collaborations include projects with St. Olavs Hospital and the Norwegian healthcare sector. Recent research emphasizes integrated resource planning frameworks for surgical clinics and optimizing patient waiting times in mental health services. Teaching responsibilities include courses on optimization methods, managerial economics, and digital transformation in decision support. He actively engages in academic outreach, presenting at conferences such as ORAHS, EURO, and INFORMS, and has supervised numerous research projects addressing healthcare logistics and cloud service deployment challenges.

• Chemical Engineering
• Bioprocess Engineering
• Process Monitoring and Control
• +9 more

Michal Dabros is an Associate Professor at the HES-SO (University of Applied Sciences and Arts Western Switzerland), affiliated with the Haute école d'ingénierie et d'architecture de Fribourg and the Institute of Chemical and Bioprocess Engineering (ChemTech) . His research bridges theoretical advancements with industrial applications across chemical engineering, bioprocess technology, and sustainable manufacturing. Key research focus areas include Process Analytical Technology (PAT) , continuous flow reactor design , thermal safety analysis , and green chemistry approaches for nanoparticle synthesis and CO2 valorization. Recent publications highlight innovations in biocalorimetry-based control systems , bio-based material production , and miniaturized reaction calorimeters for hazardous process screening. Notable contributions appear in journals like CHIMIA , Organic Process Research & Development , and Processes , with emphasis on: Feedforward-feedback controller design for noisy bioprocess data 3D-printed reactors for O2 oxidation reactions IoT-enabled shelf life monitoring systems Comparative studies of Taguchi and full-factorial DoE methodologies He participates in international collaborations (Switzerland, Canada, Ireland) and interdisciplinary projects like Remote Labs digital MOOC platforms and Bio-cementation of molasse waste for eco-friendly construction materials.

Brahim AmazianeView profile

Senior Lecturer

• Porous Media Flow
• Numerical Simulation
• Homogenization Theory
• +2 more

Brahim Amaziane is a Senior Lecturer at the University of Pau, leading research in computational modeling of fluid flows through porous media. His work supports energy innovation and environmental protection. Amaziane develops advanced numerical methods for simulating multiphase flows in complex geological formations. Applications include carbon sequestration, hydrogen storage, and radioactive waste containment. He coordinates international projects like the ANR HyStorEn initiative and mentors doctoral candidates in computational geosciences. His research group maintains the Reactive-DuMuX simulation platform.

Philippe PoncetView profile

Professor

• Numerical Analysis
• High Performance Computing
• Fluid Dynamics
• +5 more

Philippe Poncet is a Professor at the Université de Pau et des Pays de l'Adour (UPPA) and Vice-President for Digital Environment. He leads the Numerical Methods and Complex Fluids team at the Laboratory of Mathematics and their Applications (LMAP). His expertise spans particle/vortex methods, high-performance computing, and applications in geoscience, microfluidics, and biomathematics, with a focus on reactive flows and porous media. Poncet's research integrates numerical analysis with practical challenges in environmental and biomedical engineering. Key interests include Lagrangian methods for fluid dynamics, optimization algorithms, pore-scale modeling, and cystic fibrosis biomechanics. His work bridges theoretical mathematics and industrial-scale simulations. Recent publications demonstrate advances in pore-scale dissolution modeling, Bayesian neural networks for inverse problems, and viscous flow simulations. His articles consistently address multi-scale challenges in geosciences and biomedicine using innovative computational frameworks. He has led significant projects including the ANR-funded MucoReaDy (mucus dynamics in respiratory diseases) and MicroMineral (CO₂ mineral storage). These collaborations involve multidisciplinary teams addressing environmental and health-related fluid dynamics.

• Chemical Engineering
• Process Intensification
• Plasma Technology
• +3 more

Georgios Stefanidis is a Professor at the National Technical University of Athens (NTUA), affiliated with the School of Chemical Engineering and the Department of Analysis, Design and Development of Processes and Systems. His research focuses on process intensification, plasma-driven chemical conversions, ultrasonic and microwave applications, and sustainable chemical manufacturing. He leads studies on non-oxidative methane coupling to ethylene, catalytic reactor design, and valorization of waste materials through advanced recycling techniques. His work integrates cutting-edge technologies like non-thermal plasma, acoustic cavitation, and computational modeling to enhance energy efficiency and resource utilization. Professor Stefanidis has contributed to advancements in sonochemical reactor modeling, microwave-assisted synthesis, and the development of novel reactor configurations such as rotary kiln-type systems. His research addresses global challenges in carbon utilization, renewable energy integration, and circular economy solutions. He currently holds the email address gstefani@mail.ntua.gr and is a full-time faculty member without part-time status. His recent studies include investigations into the electrification of CO₂-based methanol synthesis, plasma-catalytic methane conversion, and the application of artificial intelligence in crystallization processes. These efforts aim to bridge fundamental science with industrial-scale applications, emphasizing scalability and economic viability through techno-economic assessments and modular reactor design.