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Sara Salazar HughesView profile

Associate Professor

• Political Geography
• Cultural Geography
• Political Ecology
• +5 more

Sara Salazar Hughes is an Associate Professor of Global Studies at California State University - Monterey Bay (CSUMB), specializing in political and cultural geography with a focus on territorial conflict and land governance in Israel/Palestine. She holds a PhD in Geography from UCLA (2017), an MA in International Studies from the University of San Francisco (2011), and a BA in Arabic from UCLA (2009). Her research examines mechanisms of territorial control, environmental justice, and settler colonialism, emphasizing ethnographic and qualitative methods to highlight marginalized voices in contested spaces. Education: PhD in Geography, University of California, Los Angeles (2017), Dissertation: “Suburban Occupation: Contradictory impulses and outcomes of life in Israeli settlements in the occupied West Bank.” MA in International Studies, University of San Francisco (2011), Thesis: “Territoriality, Sovereignty and the Nation-state System in Israel-Palestine.” BA in Arabic, University of California, Los Angeles (2009). Research Interests: Political geography, cultural geography, political ecology, environmental justice, settler colonial studies, border/mobility studies, and Palestine/Israel studies. She prioritizes love, care, and reciprocity in her work, aiming to center social and environmental justice in both research and pedagogy. Key Trends in Publications: Her articles critically analyze settler colonialism, environmental injustice, and territorial control mechanisms in Israel/Palestine and beyond. Recent works explore greenwashing, sustainability critiques in former military sites, and the geopolitical dimensions of arid landscapes. Labs/Initiatives: Faculty mentor for CSUMB’s Global Otters Club and co-executive producer of the OtterPod podcast, which amplifies undergraduate research on social, racial, and environmental justice issues. External Roles: Former Postdoctoral Scholar at USC (2018–2019) and Visiting Lecturer at Mount Holyoke College (2017–2018). Lectured at UCLA’s International Institute (2017–2018).

Paul CorazzaView profile

Professor

• Set Theory
• Mathematical Logic
• Large Cardinals
• +5 more

Dr. Paul Corazza is a Professor of Computer Science and Mathematics at Maharishi University of Management (MUM). He holds a BA from Maharishi International University, an MS and PhD from Auburn University. His research explores the intersection of foundational mathematics (set theory, large cardinals, lambda calculus) with Maharishi Vedic Science principles, particularly the dynamics of wholeness and self-referral systems. Dr. Corazza's work includes pioneering the Wholeness Axiom, which addresses large cardinal foundations through self-referential embeddings. He also contributes to software engineering, designing rules engines for industries like insurance and localization frameworks for tech companies. Education: BA: Maharishi International University MS/PhD: Auburn University Research interests span set theory's infinitary structures, algorithmic foundations rooted in self-referral principles, and applications of Vedic Science to computational models. His work bridges abstract mathematics and practical software systems, emphasizing holistic computational frameworks inspired by universal dynamics. Dr. Corazza has over 15 years of industry experience, including roles at Google and e-Trade, focusing on large-scale software engineering and rules engines. He has authored over 15 papers in mathematical logic and a textbook on logic and computability. Key Contributions: Wholeness Axiom for large cardinal foundations Fixed-point principles in lambda calculus Design of enterprise rules engines using Jess language

• Interior Architecture
• Architectural Design Pedagogy
• Virtual Reality Applications in Design
• +5 more

Uğur Efe Uçar is a Researcher at the Department of Interior Architecture, Faculty of Architecture, Istanbul Technical University. He holds a PhD in Informatics in Architectural Design (2021) and has been a Research Assistant since 2019. His academic journey includes a Master's in Interior Architecture Design International (2018–2020) and a Bachelor's in Interior Architecture (2015–2018), all from Istanbul Technical University. His research focuses on integrating technology into architectural education and design practices, particularly through virtual reality (VR) applications, computational frameworks, and phenomenological studies of interior spaces. Key areas include generative design pedagogy, anthropometric measurements using VR, and earthquake-resistant interior design. He has explored topics like the implicit meanings of domestic elements (e.g., beds, water systems) and flexible shelter designs for emergency scenarios. Uçar has authored over a dozen peer-reviewed articles since 2021, consistently advancing interdisciplinary approaches at the intersection of technology, human behavior, and space. His work emphasizes both theoretical exploration and practical applications in sustainable and resilient design. No scientific awards are listed, but his contributions reflect a strong commitment to academic innovation and pedagogical development.

• Partial Differential Equations
• Functional Analysis
• Calculus of Variations
• +3 more

Massimo Gobbino is an Associate Professor at the Department of Civil and Industrial Engineering, University of Pisa. His research focuses on Partial Differential Equations (PDEs), Functional Analysis, and Calculus of Variations, with notable contributions to the Perona-Malik equation, non-local approximations of Sobolev norms, and wave equations with damping. He collaborates extensively with researchers like Nicola Picenni and Marina Ghisi. Key research areas include the analysis of PDEs related to image processing, variational methods, and nonlinear phenomena. His work bridges theoretical analysis with applications in mathematical physics and optimization. Recent studies explore monotonicity properties, symmetry-breaking, and multi-scale analysis of minimizers. Prof. Gobbino’s articles frequently appear in journals such as Journal of Functional Analysis , Calculus of Variations and PDEs , and SIAM Journal on Mathematical Analysis . He maintains an active presence in academic forums and student supervision through structured directories like Studenti and Eureka projects.

Alexandros ALEXAKISView profile

Professor

• Hydrodynamics
• Turbulence
• Magnetohydrodynamics
• +3 more

Professor Alexandros ALEXAKIS is affiliated with the Physics Department at ENS-PSL, where he holds a Professor position at the ENS Physics Laboratory (LPENS). His research focuses on hydrodynamics and turbulence, particularly addressing topics such as turbulent condensates, magnetic reconnection, and large-scale self-organization in fluid systems. He explores fundamental aspects of energy cascades, intermittency, and nonlinear dynamics in both classical and magnetohydrodynamic (MHD) turbulence. His work bridges theoretical frameworks, numerical simulations, and experimental insights to understand complex fluid behaviors in geophysical and astrophysical contexts. Key research interests include the interplay between large-scale flows and turbulent dynamics, the role of helicity in MHD systems, and the statistical properties of turbulent cascades. Recent studies have addressed topics like the spreading mechanisms of turbulence, the impact of fractal forcings on intermittency, and the saturation of turbulent dynamos. His contributions span fluid dynamics, plasma physics, and nonlinear systems, with applications to astrophysical plasmas and geophysical fluid dynamics. Professor ALEXAKIS' research also involves the development of shell models and geometric microcanonical theories to describe turbulent equilibria. He has published extensively on the transition between three-dimensional and quasi-two-dimensional turbulence, the effects of rotation and stratification on energy transfers, and the statistical signatures of fluctuation relations in turbulent systems.

Dirk LebiedzView profile

Professor

• Optimal Control
• Chemical Kinetics
• Dynamical Systems
• +6 more

Prof. Dirk Lebiedz is a full professor at the Institute of Numerical Mathematics, University of Ulm, specializing in optimal control, mathematical modeling, and dynamical systems. He holds a PhD in Physical Chemistry and dual Diplom degrees in Chemistry and Mathematics from the University of Münster. His career includes habilitations in Physical Chemistry (Heidelberg), Bioinformatics (Freiburg), and Mathematics (Freiburg). He has led research groups focusing on model reduction in multi-scale systems, with applications in combustion chemistry, biological signaling, and medical treatment optimization. Education: 1998: Diplom in Chemistry (Münster) 2002: Diplom in Mathematics (Münster) 2001: PhD in Physical Chemistry (Münster) 2007: Habilitation in Physical Chemistry (Heidelberg) 2010: Habilitation in Mathematics (Freiburg) Research Interests: Prof. Lebiedz’s work spans optimal control theory, nonlinear dynamics, and computational methods for complex systems. He develops geometric and differential geometric approaches to model reduction, focusing on slow invariant manifolds in chemical and biological systems. His research also explores interdisciplinary applications in medicine, ecology, and music theory, such as mathematically modeling circadian rhythms and linking mathematical principles to philosophical and artistic concepts. Recent Work Trends: His recent publications emphasize holomorphic dynamical systems, invariant manifold analysis, and applications of differential geometry. He investigates complex-time systems and their connections to fundamental mathematical problems like the Riemann Hypothesis. His articles often bridge pure mathematics with applied fields like combustion engineering and biomedical modeling. Awards & Recognition: He has held visiting professorships at Heidelberg University and secured multiple habilitations across disciplines, reflecting his interdisciplinary impact. Labs/Teams: Leads the Institute of Numerical Mathematics at Ulm, focusing on computational methods for multi-scale systems. Collaborates with the Center for Integrative Biological Signaling Studies (Freiburg) and the SFB 1391 (Tübingen).

Stephen RamseyView profile

Associate Professor

• Computational Systems Biology
• Bioinformatics
• Precision Medicine
• +6 more

Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .

Tom BanksView profile

Professor

• Quantum Gravity
• String Theory
• High Energy Physics
• +7 more

Tom Banks is a Professor of Physics at Rutgers University, affiliated with the Department of Physics and Astronomy. He is part of the High Energy Theory research group and a member of the National High Energy Theory Consortium (NHETC). His research focuses on quantum gravity, string theory, cosmology, and black hole physics, including the development of the Holographic Space Time (HST) framework. He has also shifted recent efforts to condensed matter physics, particularly density functional theory and quantum critical phenomena. Education: Ph.D. in Physics from MIT (1973). Awards include membership in the National Academy of Sciences and American Academy of Arts and Sciences. His work spans foundational theories like Matrix Theory, supersymmetry breaking mechanisms, and holographic principles applied to cosmological models. Current research includes studying remnants of black holes and their implications for dark matter, as well as combining weak and strong coupling expansions in lattice models. Advising and grants: No specific students listed, but collaborates widely on theoretical physics projects. His work on HST and Pyramid Schemes models has implications for particle physics at the TeV scale and beyond. Labs/Teams: Active within the NHETC and Rutgers High Energy Theory Group. Collaborations focus on quantum gravity, cosmology, and string theory applications.

Mark LichtView profile

Associate Professor

• Cover Crop Management
• Cropping System Management
• Crop Production
• +4 more

Mark Licht is an Associate Professor and Extension Cropping Systems Specialist in the Department of Agronomy at Iowa State University. His program integrates extension, research, and teaching to optimize Iowa cropping systems for productivity, profitability, and environmental sustainability. Key focus areas include cover crop management, corn/soybean systems, nutrient management, and soil health. He leads projects addressing cereal rye cover crop BMPs, nitrogen rate optimization, and cropping system adaptation to climate change. Education details are not explicitly listed but his roles imply advanced training in agronomy. Research interests emphasize holistic cropping systems, with recent work on corn yield drag mitigation, soybean nitrogen fixation, and precision agriculture tools like the Field Operations Visualizer. He collaborates with graduate students like Ally Larson and Natan Seraglio, and oversees programs such as the Forecast and Assessment of Cropping sysTemS (FACTS). Publications (2023-2025) reflect trends in cover crop impacts, nutrient dynamics, and climate adaptation. His extension efforts include Iowa Learning Farms outreach and development of farmer-friendly soil health assessment methods. Grants and projects focus on scaling optimal practices from plot to watershed levels. Labs/teams involved include the Iowa State Agronomy Extension team and interdepartmental programs like the Seed Technology and Business Management.

• Geoarchaeology
• Archaeological Micromorphology
• Human-Environment Interactions
• +5 more

Susan Marie Mentzer is an Associate Professor in the Department of Geosciences within the Faculty of Science at the University of Tübingen, specializing in geoarchaeology with emphasis on micromorphological analysis of anthropogenic sediments. She leads the Geoarchaeology research group at the Institute for Archaeological Sciences (INA) and is actively affiliated with the Senckenberg Centre for Human Evolution and Palaeoenvironment. Her educational background includes a Ph.D. in Anthropology with Concentration in Archaeology and Minor in Geosciences from the University of Arizona (2011), an M.A. in Archaeology with Minor in Geosciences from the University of Arizona (2005), and a B.A. in Archaeology and Earth Sciences summa cum laude from Boston University (2003). Her doctoral research focused on the Macro- and Micro-scale Geoarchaeology of Üçağızlı Caves in Turkey. Mentzer's research integrates micromorphology with micro-FTIR and micro-XRF to analyze Paleolithic caves, Neolithic tells, and experimental materials like plaster and wood ash. Her work spans Eurasian Paleolithic sites, African Middle Stone Age contexts, and ritual spaces, with particular expertise in combustion features, site formation processes, and human-environment interactions during the forager-farmer transition. Recent publications demonstrate methodological innovation in analyzing rockshelters, hearths, and stratigraphic sequences across global contexts from South Africa to Anatolia. As an Associate Editor for Geoarchaeology , she contributes significantly to scholarly discourse. Her methodological leadership is evident in developing online teaching strategies during the pandemic, as documented in The SAA Archaeological Record . Mentzer teaches specialized courses including Anthropogenic Deposits and Site Formation Processes, Stratigraphy, Archaeological Micromorphology, and Microanalytics. Her laboratory work involves stable isotope analysis, micro-XRF, and experimental archaeology to reconstruct ancient human behaviors through sediment micromorphology.

Blagoja MarkovskiView profile

Assistant Professor

• Electromagnetic Compatibility
• Power Systems Engineering
• Lightning Protection
• +3 more

Blagoja Markovski is an Assistant Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje. He holds a PhD (2019), MSc (2012), and BSc (2009) in Electrical Engineering from FEIT. His research focuses on electromagnetic compatibility, grounding systems analysis, lightning protection, and power systems engineering. He has contributed to projects assessing electromagnetic impacts on infrastructure and public exposure to electromagnetic fields from energy equipment. His work emphasizes the analysis of grounding systems under lightning and transient conditions, with applications in transmission lines, wind turbines, and pipelines. He has developed novel methodologies for efficient grounding system analysis using circuit models, GPU parallelization, and analytical approximations. His recent studies include optimizing grounding configurations for communication towers and evaluating human exposure near high-voltage systems using finite-element methods. Collaborations span international conferences and industry projects, addressing challenges in electromagnetic compatibility and renewable energy systems. His publications span IEEE journals and conferences, focusing on grounding systems, lightning protection, and computational electromagnetics.

Sarah PerezView profile

Researcher

• Mathematical modelling
• Numerical simulation
• AI-driven approaches
• +5 more

Sarah Perez is a Postdoctoral Research Associate in the GeoEnergy research group at the Lyell Centre, part of the School of Energy, Geoscience, Infrastructure and Society at Heriot-Watt University. Holding a PhD in Applied Mathematics from the University of Pau in France, she specializes in developing numerical and machine learning models for geological carbon storage applications. Her research sits at the intersection of mathematical modeling, numerical simulation, and AI-driven approaches for subsurface energy systems. She develops frameworks that integrate pore-scale imaging with AI-based uncertainty quantification to improve reliability of subsurface predictions, with particular focus on fractured and reactive media. Her work bridges multiple scales to address leakage risks and subsurface integrity in carbon storage systems. Analysis of her publications reveals consistent focus on computational methods for geological applications, with increasing integration of AI techniques across her work from 2022-2025. Her research shows strong interdisciplinary connections between computational physics, machine learning, and geoscience. Beyond research, Perez actively contributes to academic community through science communication and early-career initiatives. She co-chairs the InterPore Student Awards Sub-Committee and organizes YouTube webinars on Porous Media research and AI for Net Zero, demonstrating commitment to knowledge exchange and interdisciplinary collaboration. Her professional network shows significant international collaboration, with research activities spanning multiple countries and institutions. She maintains active engagement with the scientific community through conference presentations and peer-reviewed publications in high-impact journals.

• Drone Autonomy
• Drone-Based Remote Sensing
• Aerospace Engineering
• +7 more

Dr. Fernando Vanegas Alvarez is a Lecturer at the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT). He holds a M.Sc. in Electrical Engineering from Halmstad University and a PhD in Aerial Robotics from QUT. His research focuses on Drone Autonomy, UAV navigation in GNSS-denied environments, and AI-assisted remote sensing. Education: M.Sc. in Electrical Engineering, Halmstad University PhD in Aerial Robotics, QUT Research Interests: Dr. Vanegas' work emphasizes motion planning for UAV exploration , POMDP , SLAM , Visual Odometry , and AI-driven remote sensing applications . His projects include UAV frameworks for planetary exploration, invasive species mapping, and multi-UAV coordination in challenging environments. Scientific Awards: Advanced Queensland Industry Research Fellowship Grant (2024) Supervision & Grants: Dr. Vanegas has supervised three postgraduate students, including topics like planetary exploration UAV systems and multi-agent UAV search algorithms. He actively accepts new students for Honours, Masters, and PhD programs. His research is supported by grants and collaborations with the QUT Centre for Robotics. Teams & Affiliations: He is a core member of the QUT Centre for Robotics and contributes to the School of Electrical Engineering & Robotics. His work bridges robotics, AI, and environmental science.

• Database Theory
• Computational Logic
• Parameterized Complexity
• +4 more

Reinhard Pichler is a Full Professor at the Vienna University of Technology (TU Wien), affiliated with the Faculty of Informatics and the Department of Databases and Artificial Intelligence . His research focuses on Database Theory , Computational Logic , and Parameterized Complexity . He leads multiple research projects like DeConquer (2023–2027) and HyperTrac (2018–2022), addressing challenges in query optimization and hypergraph decompositions. He holds the prestigious START Prize (2014–2022) for young researchers. His work spans theoretical foundations (e.g., hypertree decompositions) and practical applications (e.g., SPARQL query processing systems like SparqLog). He contributes to academic governance, serving on faculty councils and curriculum commissions. His research innovations bridge algorithmic theory and real-world database systems, emphasizing efficient query evaluation and tractability analysis. Key contributions include advancing fractional hypertree decompositions , SPARQL query optimization , and consistent query answering . His projects often involve collaborations with industry and international funders like the Austrian Science Fund (FWF) and Vienna Science and Technology Fund (WWTF). He actively publishes in top venues like Journal of the ACM , ACM Transactions on Database Systems , and Proceedings of the VLDB Endowment . His academic leadership extends to course design, teaching advanced topics like Complexity Theory and Theoretical Computer Science . He mentors doctoral students and oversees research teams exploring cutting-edge areas like uncertain databases and cloud-based computational social choice .

• Biodiversity and Human Wellbeing
• Species Identification Accuracy
• Conservation Biology
• +3 more

Dr. Gail Austen is the Leverhulme Space for Nature Doctoral Scholars Support Officer at the University of Kent, affiliated with the Durrell Institute of Conservation and Ecology (DICE). She holds a PhD in species identification accuracy and has conducted post-doctoral research on the RELATE project linking biodiversity to human wellbeing. Her work focuses on understanding how biodiversity components influence wellbeing and improving species identification methods through interdisciplinary approaches. Her current research includes a collaborative project with the Woodland Trust exploring woodland biodiversity's impact on human wellbeing across socioeconomic gradients. She has contributed to developing the BIO-WELL wellbeing scale and investigating sensory interactions with nature (e.g., colors, smells, sounds). Her research spans participatory data methodologies, public perception of biodiversity, and conservation communication challenges. Dr. Austen has published widely on biodiversity-wellbeing linkages, conservation policy, and species identification accuracy. Her work emphasizes integrating ecological and social dimensions to address conservation challenges. She actively participates in the Kent Reptile and Amphibian Group and contributes to biological recording efforts in the region.