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Qin Jim ChenView profile

Professor

• Coastal Engineering
• Environmental Science
• Numerical Modeling
• +4 more

Qin Jim Chen is a Professor in Civil and Environmental Engineering and Marine and Environmental Sciences at Northeastern University. He specializes in coastal engineering and science, focusing on numerical modeling for coastal resiliency and sustainability. His research integrates field observations with advanced computational tools to address hurricane impacts and environmental adaptation. Education: Ph.D. Civil Engineering, Old Dominion University (collaboration with Danish Hydraulic Institute) M.Sc. Coastal and Ocean Engineering, Hohai University, China B.Sc. Civil Engineering, Hohai University, China Research Interests: Coastal morphodynamics and storm impacts Living shorelines and wetland restoration Hybrid infrastructure resilience Physics-informed machine learning for coastal processes Awards: 2022 Søren Buus Outstanding Research Award National Science Foundation CAREER Award (2006) LES-BTR Best Paper Award Grants & Advising: Principal Investigator on NSF-funded projects studying hurricane impacts and coastal dynamics. Collaborates with DHI Water and Environment Inc. on decision-making tools for climate adaptation. Advises on FUNWAVE-TVD software development for coastal modeling. Labs & Teams: Affiliated with the Institute for Experiential AI, Coastal Sustainability Institute, and Global Resilience Institute (GRI), focusing on interdisciplinary coastal resilience solutions.

Angela KnappView profile

Professor

• Marine Biogeochemistry
• Nitrogen Cycling
• Dissolved Organic Nutrients
• +3 more

Professor Angela Knapp is a Chemical Oceanographer at Texas A&M University’s Department of Oceanography, College of Geosciences. Her research focuses on marine nutrient cycling, particularly nitrogen fixation and dissolved organic nutrient dynamics. She leads a 7-PI NSF-funded project in the Gulf of Mexico and serves on the US GEOTRACES Steering Committee and the NSF Research Coordination Network for Aquatic Nitrogen Fixation. Her work spans physiological to ocean-basin scales, studying nutrient sources fueling primary production in oligotrophic systems. Key projects include quantifying nitrogen fluxes using geochemical tracers and investigating dissolved organic nitrogen (DON) and phosphorus (DOP) roles in nutrient limitation. She has advised numerous PhD and undergraduate students, including Zhou Liang (PhD 2024) and Chelsie Bowman (Postdoc). Recent publications highlight advancements in global DOP databases, nitrogen isotope budgets, and natural iron fertilization’s impact on diazotroph blooms. Her teaching includes courses on ocean communication, marine biogeochemistry, and geochemical tracers. Knapp’s lab collaborates internationally, integrating fieldwork, laboratory analysis, and modeling to address global nutrient cycles and climate interactions. Current research explores lateral advection’s role in nitrogen export and DON’s contribution to oligotrophic systems.

Cédric G. FichotView profile

Associate Professor

• Marine Biogeochemistry
• Remote Sensing
• Aquatic Optics
• +3 more

Cédric G. Fichot is an Associate Professor in the Department of Earth and Environment at Boston University. His research focuses on estuarine and coastal biogeochemistry, integrating marine optics, remote sensing, and environmental chemistry to study interactions between terrestrial and marine environments under climate and human impacts. His work emphasizes interdisciplinary approaches combining field studies, laboratory analyses, and modeling. Education: Ph.D., Marine Science, University of South Carolina; M.S., Oceanography, Dalhousie University. Research Themes: Aquatic photochemistry and CDOM photobleaching Remote sensing of water quality using UV-visible spectroscopy Cycling of terrigenous organic carbon along land-ocean interfaces Suspended sediment dynamics in deltas and wetlands Seagrass habitat suitability modeling Grants include NASA-funded projects on water quality (Grant #80NSSC18K0344) and Delta-X (NASA EVS-3 Program, #NNH17ZDA001N-EVS3). His Fichot Lab at BU develops cutting-edge techniques to model land-ocean interactions and assess environmental vulnerability.

Vadim KaratayevView profile

Assistant Professor

• Ecosystem Resilience
• Community Ecology
• Landscape Ecology
• +5 more

Vadim Karatayev is the William J. Higgins Assistant Professor of Biology at the University of Maryland. His research integrates ecological theory with large-scale field data to study resilience in complex ecosystems, focusing on community ecology, landscape ecology, and network dynamics. He explores critical questions at the intersection of ecological stability and climate change impacts. His work emphasizes spatial synchrony mechanisms, invasive species management, and the role of behavioral dynamics in regulating ecosystem states. Recent projects include analyzing how climate change amplifies synchrony in marine systems and evaluating the cascading effects of resource subsidies across ecosystems. Research interests: Ecosystem resilience, alternative stable states, spatial synchrony, climate change mitigation strategies Key contributions: Quantitative frameworks for understanding biodiversity loss from invasions and habitat degradation Lab affiliation: Resilience Lab (https://resiliencelab.github.io/) Publications span high-impact journals like Ecology Letters and Proceedings of the National Academy of Sciences. His interdisciplinary approach bridges ecological theory with practical conservation challenges, including pandemic response modeling and climate policy analysis.

• Digital Transformation
• Healthcare Informatics
• Artificial Intelligence
• +6 more

Dr. Amir Andargoli is a Senior Lecturer in Information Systems at Swinburne University of Technology's School of Business, Law and Entrepreneurship. His research focuses on digital transformation, healthcare innovation, and strategic information management. He has published extensively in journals like Journal of Strategic Information Systems and Information & Management, with a particular emphasis on digital ecosystems, blockchain in healthcare, and AI applications. Research Interests: Dr. Andargoli's work bridges information systems theory with practical applications in healthcare and industry. His recent projects explore digital twins for dementia care, blockchain architectures for healthcare data sharing, and the socio-technical dynamics of Lean management systems. He emphasizes user-centered design in digital technologies to enhance organizational value and patient outcomes. Grants & Projects: He has secured grants from institutions including the Australian Academy of Science and Barbara Dicker Brain Science Foundation. Notable projects include examining Spotify's algorithmic playlists (Contemporary Music Victoria), developing digital solutions for ME/CFS care (Emerge Australia), and conceptualizing digital twins for dementia care (Ian Dicker Family Settlement). Teaching & Supervision: Dr. Andargoli teaches in Swinburne's Business Information Systems programs and supervises Higher Degree by Research candidates. His supervision focuses on topics like data governance, digital innovation in supply chains, and psychological safety in digital transformation projects. He has advised on doctoral theses addressing healthcare resilience, suicide helpline systems, and digital transformation in post-pandemic contexts. Professional Recognition: He is a 2011 finalist in Griffith University's Innovation Challenge for the A-SOSim project. His research has been cited in leading conferences like the Hawaii International Conference on System Sciences and Bled eConference.

Sudip SealView profile

Professor

• Scalable Algorithms
• High-Performance Computing
• AI/ML Workloads
• +4 more

Dr. Sudip Seal is a Joint ORNL-UT Faculty in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, and leads the Systems and Decision Sciences Group at Oak Ridge National Laboratory (ORNL). He holds dual PhDs in Computer Engineering (Iowa State University) and Theoretical High Energy Physics (New Mexico State University). His expertise spans scalable algorithms, AI-driven methods for large-scale science, and high-performance computing. He has led over $55M in multidisciplinary projects and currently leads the FORESEE initiative for extreme-scale computing ecosystems. Education: PhD in Computer Engineering, Iowa State University, 2007 PhD in Theoretical High Energy Physics, New Mexico State University, 2002 Research Interests: Design and optimization of scalable algorithms for extreme-scale scientific computing, AI/ML workloads, parallel simulations, architecture-aware algorithms, numerical methods, computational fusion and materials science, and energy-efficient computing. Awards: Best Paper Award (ACM SIGSIM PADS 2024) Paramount Accomplishment Award (ORNL 2024) Significant Event Awards (ORNL 2017 & 2014) Multiple Best Paper Finalist/Runner-up recognitions (2010–2024) Indian Government Fellowships (NTPC, UGC, CSIR) Leadership & Grants: Principal Investigator (PI) and Co-PI for multi-million dollar projects, including the ExaLearn Co-design Center. Leads ORNL's CCSD LDRD FORESEE initiative. Serves as Associate Editor for the Journal of Parallel and Distributed Computing and chairs major HPC conference committees. Labs/Teams: Systems and Decision Sciences Group (ORNL), collaborating with the Computer Science and Mathematics Division on foundational HPC research.

• Conceptual Modeling
• Ontology
• Domain Modeling
• +7 more

Tiago Prince Sales is an Assistant Professor in the field of Semantics, Cybersecurity & Services, actively contributing to foundational research in conceptual modeling, ontology, and information systems. His work bridges formal methods with practical applications in digital platforms, cybersecurity, and knowledge representation. Assistant Professor, Semantics, Cybersecurity & Services Active in international research communities (FOIS, ER, BPMDS, RCIS) Key focus: Ontology, Domain Modeling, Interoperability, Digital Platforms Recognized with multiple best paper awards His research centers on the development and application of formal conceptual models using frameworks such as OntoUML and the Unified Foundational Ontology (UFO). He investigates how domain models can enhance system design, improve interoperability, and support risk analysis in complex information systems. His work often integrates empirical insights with theoretical rigor, aiming to address real-world challenges in modeling. The recent publications highlight a strong trend toward ontological engineering in cybersecurity (e.g., phishing attack modeling), digital platform taxonomy, and FAIR data planning. These works demonstrate a consistent focus on creating reusable, semantically rich models that support both human understanding and machine processing across domains. The integration of modeling with data science and security indicates a forward-looking research agenda. Best paper award at FOIS 2023 Best paper award at ER 2022 EMMSAD 2025 Best paper award Tiago Prince Sales actively mentors and collaborates with researchers, though no formal students are listed. He has secured recognition through competitive awards and leads significant research outputs, including datasets and open models. His involvement in organizing top-tier conferences such as FOIS 2024 reflects leadership in the academic community. While specific grants are not listed, his productivity suggests external funding support. He contributes to open science through Zenodo-hosted datasets like the OntoUML Vocabulary and GO-Plan method, and participates in collaborative teams focused on knowledge graphs, FAIRification, and model-driven engineering. His role in organizing the FOIS 2024 conference underscores his integration within leading research networks in formal ontology and conceptual modeling.

Jordan ShropshireView profile

Professor

• Information Security
• Data Center Management
• Systems Architecture
• +3 more

Dr. Jordan Shropshire is the Lawrence Minto Sylvestre Endowed Chair in Computing and a Professor in the Information Systems and Technology Department at the University of South Alabama's School of Computing. His academic journey includes a Ph.D. in Management Information Systems from Mississippi State University (2008) and a B.S. in Business Administration from the University of Florida (2004). Dr. Shropshire's research focuses on cybersecurity, data center management, cloud computing, IoT ecosystems, and systems architecture. His work addresses critical challenges such as post-quantum cryptography, embedded system vulnerabilities, and compliance frameworks for autonomous systems. He has also contributed to studies on developer platform risks, real-time operating system security, and AI-driven systems hardening. Education: Ph.D. – Management Information Systems, Mississippi State University, 2008 B.S. – Business Administration, University of Florida, 2004 His teaching career spans roles at the University of South Alabama (2008–present) and Georgia Southern University, where he held tenure (2008–2014). His publications emphasize practical cybersecurity solutions, including tools for drone compliance and frameworks for secure cloud infrastructure. He has also explored behavioral aspects of security policy adherence and IT professional retention. Dr. Shropshire's work often bridges theoretical research and real-world implementation, with a focus on mitigating emerging threats in cloud systems, IoT, and embedded devices. His research has been supported by grants such as the NSF TWC Small Grant for hypervisor security detection techniques.

• Nanophotonics
• Optical Tweezers
• Active Matter
• +4 more

Giovanni Volpe is a Professor at the Department of Physics, University of Gothenburg. His research focuses on nanophotonics, optical tweezers, active matter, and machine learning applications in microscopy and neurodegenerative diseases. He leads the Soft Matter Lab (http://softmatterlab.org/) and collaborates internationally in interdisciplinary projects. His work bridges physics, biology, and AI, addressing challenges in nanoparticle manipulation, biomedical imaging, and neurodegenerative disease modeling. Key research areas include optical trapping of nanoparticles, self-assembly of colloidal systems, and leveraging deep learning for microscopy and sensor technologies. Recent publications span neurodegenerative disease pathways, advanced optical microscopy techniques, and plasmonic sensor development. Volpe's team has pioneered methods in computational neuroscience and nanotechnology. His lab's innovations include novel optical tweezers control algorithms and neural network models for analyzing complex biological systems. Collaborations span materials science, biophysics, and cognitive neuroscience, with applications in healthcare and environmental monitoring.

Colin Harry LaMontView profile

Research Fellow

• Precision Immunotherapy
• Spatial Biology
• Bioinformatics
• +2 more

Colin Harry LaMont serves as a Postdoctoral Fellow at the PRIMA - Precision Immunotherapy Alliance within the Faculty of Medicine at the University of Oslo, conducting research at the Radium Hospital facility (Ullernchausséen 70, Building K, Room K02.059). His work bridges computational methodologies with cutting-edge immunotherapy applications. His research centers on developing integrated computational pipelines for spatial biology data analysis, with a focus on advancing precision immunotherapy through bioinformatics innovation. By leveraging spatial transcriptomics and single-cell analysis techniques, he addresses critical challenges in cancer treatment personalization and immune response mapping, contributing to Oslo's leadership in precision medicine. His 2024 publication demonstrates significant progress in creating flexible analytical frameworks for complex spatial biology datasets, establishing foundational tools for the immunotherapy research community. This work exemplifies PRIMA's mission to translate computational advances into clinical immunotherapy applications. Affiliated with the University of Oslo's medical research ecosystem, Dr. LaMont operates within the PRIMA center's collaborative framework at Radium Hospital, where interdisciplinary teams accelerate immunotherapy development through data-driven approaches.

Henrik Jeldtoft JensenView profile

Professor

• Complexity Science
• Statistical Mechanics
• Mathematical Physics
• +7 more

Henrik Jeldtoft Jensen is a Professor of Mathematical Physics and leads the Centre for Complexity Science at Imperial College London. His work spans multiple disciplines, focusing on the statistical mechanics of complex systems, with applications in physics, biology, neuroscience, and finance. Professor, Mathematical Physics Leader, Centre for Complexity Science Institution: Imperial College London His research interests lie at the intersection of theoretical physics and complex systems. He is best known for developing the Tangled Nature Model of evolving ecosystems, which has been extended into financial modeling through the Tangled Finance approach. His work in brain dynamics involves analyzing fMRI and EEG data using tools from statistical physics. He has made significant contributions to self-organized criticality and stochastic dynamics of complex systems, particularly in condensed matter and evolutionary contexts. The recent publications reflect a strong trend toward interdisciplinary complexity science, integrating concepts from physics, biology, economics, and neuroscience. Keywords across these works include complexity, statistical mechanics, dynamical systems, and network theory, with subfields ranging from neural avalanches to financial instability and biodiversity modeling. Henrik Jensen is the author of two influential books: Self-Organized Criticality and Stochastic Dynamics of Complex Systems (with Paolo Sibani), which have been widely cited across disciplines. He has supervised numerous PhD and postdoctoral researchers through the Centre for Complexity Science, though specific names are not listed. His research has been supported by grants from UK research councils and international collaborations, particularly in interdisciplinary complexity projects. He is affiliated with the Centre for Complexity Science, a multidisciplinary research hub at Imperial College London that brings together physicists, mathematicians, biologists, and social scientists to study complex adaptive systems.

• Sustainable Urban Development
• Urban Ecology
• Landscape Design
• +5 more

Carlos Smaniotto Costa (PhD) is a Professor at the Department of Architecture and Urban Planning, Universidade Lusófona, Lisbon. As an integrated member of CIAUD Research Centre, he coordinates national and international projects like the H2020 C3Places and COST Action TU1306 Cyberparks. His work bridges Urban Ecology , Landscape Design , and Digital Technologies for sustainable urban development, with a focus on participatory processes in Portugal, Africa, and Latin America. Education : PhD and Magister in Landscape Architecture and Environmental Planning, University of Hanover His research combines Urban Sociology , Public Space , and ICT integration , analyzing how digital tools transform spatial practices. Publications span books and articles on (re)naturalized rivers, underground heritage, and smart landscapes, with case studies in Angola, São Tomé, Brazil, and Europe. Recent articles (2025–2022) emphasize placemaking pedagogy , digital-physical hybrid spaces , and citizen science for territorial planning. He explores co-creation with teenagers, smart city governance, and heritage valorisation through digital storytelling and geomatics data.

Sarbeswar PraharajView profile

Assistant Professor

• Urban Sustainability
• Climate Resilience
• Geospatial Analysis
• +5 more

Sarbeswar Praharaj is an Assistant Professor in the Department of Geography and Sustainable Development at the University of Miami's College of Arts and Sciences. He also serves as Director of the MPS in Urban Sustainability and Resilience Program, Associate Dean of Graduate Education at the School of Architecture, and Affiliate Faculty at the Climate Resilience Academy. His work focuses on urban sustainability, climate resilience, geospatial analysis, and smart cities. Praharaj has contributed to global projects including case studies in Morocco and India, emphasizing participatory design and policy integration. His research explores multidimensional poverty measurement, flood susceptibility modeling, pandemic response strategies, and the role of geospatial tools in disaster management. He has published extensively on India's Smart Cities Mission, urban regeneration frameworks, and the socio-spatial impacts of climate change. Notable contributions include developing digital twin platforms for urban projects, co-design toolkits for poverty visualization, and dashboards to combat pandemic-related socioeconomic challenges. Praharaj advocates for inclusive urban policies and community-driven solutions to environmental and health crises.

• Environmental Engineering
• Soil Science
• Climate Change Impact
• +3 more

Jorge Alberto Guzman Jaimes is a Research Assistant Professor at the University of Illinois, affiliated with the Department of Agricultural and Biological Engineering and the Lemann Center for Brazilian Studies. His work focuses on environmental and agricultural engineering, with a strong emphasis on hydrological modeling, climate change impacts, and sustainable land management. Key research areas include: Climate-driven changes in soil erosion and water resources Evapotranspiration modeling and land cover dynamics Groundwater storage trends and headwater basin analysis Nitrogen transport in grassed watersheds under grazing and climate pressures Land use strategies to mitigate hydrological droughts in tropical regions Recent contributions include the DyLEMa evapotranspiration model and studies on the Washita River Experimental Watersheds. His interdisciplinary work bridges environmental science, computational methods, and agricultural practices, addressing pressing global challenges in sustainability and resource management. Publications span over 59 peer-reviewed articles, with recent highlights focusing on Brazil’s Minas Gerais groundwater trends and climate adaptation strategies in South America. He collaborates internationally on hydrological modeling frameworks and risk assessment for agroecosystems.

• Regenerative Agriculture
• Farming Systems
• Soil Quality
• +4 more

Loekie Schreefel is a Research Associate at Wageningen University & Research , specializing in regenerative agriculture and sustainable farming systems. Her work focuses on integrating soil health, biodiversity, and circular food systems into practical frameworks for Dutch and European agricultural practices. Research Themes : Regenerative Agriculture, Ecosystem Services, Soil Quality, Biodiversity, Circular Food Systems Her recent publications emphasize metrics for agricultural sustainability, case studies on Dutch dairy and arable farming, and scalability challenges for regenerative systems. Collaborations with international institutions and multidisciplinary teams highlight her role in bridging policy and on-farm innovation. She contributes actively to public discourse through media engagements on topics like nutrient cycling in regenerative crops and soil health optimization. Her work includes modeling frameworks for practice adoption and land-stress biodiversity assessments.