Carlos Paredes Bartolome is a Spanish Associate Professor at the Department of Geological and Mining Engineering within the Technical University of Madrid's School of Mining Engineering . His research integrates fractal geometry with structural geology to analyze complex earth systems. Active since 1999 (Titular Universidad) Member of Ingeniería de Georrecursos y Modelización research group since 2008 Key research areas include: Fractal analysis of fault distributions Volcano-tectonic interactions Coastal cliff recession modeling Rockfall susceptibility mapping CO2 geological storage characterization Historical photogrammetry applications His most recent work focuses on: Tsunami impact simulations Ground deformation monitoring Morphometric analysis of karst depressions Stress field reconstruction Caldera collapse dynamics Three-dimensional fracture network modeling Contact: carlos.paredes@upm.es
Kajsa Møllersen is an Associate Professor at the Department of Computer Science, UiT The Arctic University of Norway. Her research focuses on statistical approaches to image analysis and machine learning in medical and biological contexts. Research Interests: Histopathological image analysis, divergence functions, multi-instance learning, melanoma detection, breast cancer diagnostics Teaching Roles: PhD course leader in Statistical Models, Master's lecturer in Biostatistics, Medical Statistics, and research methodology Recent publications highlight trends in applying machine learning to histopathology, omics data integration, and educational innovations in statistical pedagogy. She actively contributes to research on data sharing ethics and gender diversity in STEM fields. Key Collaborations: Computational Pathology Group, Systems Epidemiology, Realfagsdidaktikk i høyere utdanning Outreach: Public data ethics discussions, teaching methodology research, and medical informatics dissemination
Lars Rosen is a Professor in the Department of Geology and Geotechnology at Chalmers University of Technology, where he leads the Technical Geology research group. He serves as the responsible person for the Forum for Risk Investigation and Sustainable Technology (FRIST) competence center and works as a supervisor and specialist in risk management within the DRICKS research program. Professor Rosen's research spans hydrogeology and environmental engineering, with a primary focus on vulnerability assessments, risk assessment, and decision-making methodological support for water protection and remediation of contaminated soil, groundwater, and drinking water. His work integrates technical, economic, and environmental perspectives to develop practical solutions for complex water resource challenges. Analysis of his recent publications reveals a strong emphasis on risk-based decision support systems, particularly for hydrogeological risks in underground construction, contaminated site remediation, and drinking water protection. His research increasingly incorporates sustainability assessment frameworks, cost-benefit analysis, and ecosystem service valuation into traditional engineering approaches. Professor Rosen actively leads and participates in numerous research projects, including FRIST, DRICKS, and several EU-funded initiatives focused on risk assessment, sustainable remediation, and water resource management. His work demonstrates strong collaboration with researchers across multiple disciplines and institutions. His research group, Technical Geology, focuses on applying geological knowledge to engineering problems, particularly those related to groundwater, soil contamination, and risk assessment. The group works closely with industry and government agencies to translate research findings into practical applications for environmental protection and sustainable development.
Professor Paul Aplin is Head of the Department of Geography at Mary Immaculate College (MIC), Ireland, since 2022. He previously held academic positions at the University of Nottingham (2007-2022) and Edge Hill University (2015-2022). He holds a PhD from the University of Southampton, MSc from Aberdeen, and MA from Edinburgh. Education: MA (Edinburgh) MSc (Aberdeen) PhD (Southampton) His research focuses on remote sensing , geography , and environmental monitoring of tropical peatlands, urbanization, and biodiversity. He has contributed to the discipline through editorial leadership as Editor-in-Chief of the Land (Observation and Monitoring Section) and editorial board memberships for ISPRS Journal , Remote Sensing Applications , and Sensors . His work spans 15 years of international education and research collaborations in Hungary, Chile, China, Ethiopia, and Poland. Article Trends include applications of machine learning and satellite imagery for land cover classification, biomass estimation, and urban development analysis. His 15 most recent publications (2024-2020) emphasize neotropical peatlands , woody encroachment , and conservation strategies in biodiversity hotspots. Scientific Awards Ralph Brown Award (Royal Geographical Society) Fellow of the Royal Geographical Society He has also served as former Chair of the Remote Sensing and Photogrammetry Society, National Delegate to the International Society for Photogrammetry and Remote Sensing (ISPRS), and ISPRS Book Series Editor for eight years.
Dr. Peter Hollingsworth is a Senior Lecturer in Mechanical and Aerospace Engineering at The University of Manchester. He holds a PhD in Aerospace Engineering from Georgia Institute of Technology (2004), alongside a Bachelor of Engineering (1999) and Master of Science (2000). His research focuses on Value-Driven Design methodologies, systems engineering, and reducing aviation's environmental impact. He co-chairs the AIAA Value Driven Design Program Committee, advocating for standardized taxonomies and industry education. His work spans aircraft design optimization, climate-conscious technologies, and UAV applications for emissions monitoring. Key collaborators include the US Joint Planning and Development Office (JPDO), IATA, and CAAFI. He leads the Aerospace Engineering research group, overseeing projects on space systems design, small satellite constellations, and sustainable aviation fuels. His interdisciplinary approach bridges academia, industry, and policy to address global environmental challenges. Education: PhD in Aerospace Engineering, Georgia Institute of Technology, 2004 Master of Science in Aerospace Engineering, Georgia Institute of Technology, 2000 Bachelor of Engineering in Aerospace Engineering, Georgia Institute of Technology, 1999 Research Interests: Value-Centric Design Frameworks Climate Impact of Aviation Alternative Fuels and Propulsion Systems Unmanned Aerial Systems (UAS) for Environmental Monitoring Space Systems Architecture and Certification Grants and Projects: Principal Investigator for multiple aerospace engineering projects, including small satellite deployment and UAV emissions studies Contributed to initiatives like the US Commercial Aviation Alternative Fuels Initiative (CAAFI) Co-lead on AIAA Value Driven Design Program Committee Labs and Teams: Aerospace Research Institute at The University of Manchester Space Systems Research Group
Michael Gee is a Professor at Technische Universität München (TUM), specializing in Mechanics on High-Performance Computers. His research focuses on computational biomechanics, fluid-structure interaction, and patient-specific modeling of cardiovascular systems, particularly abdominal aortic aneurysms (AAAs). He employs advanced numerical methods like algebraic multigrid and mortar contact formulations to address complex biomechanical challenges. Recent work highlights include the development of digital twin technologies for endovascular repair, integration of artificial intelligence in vascular diagnostics, and multiscale modeling of atherosclerosis. His publications emphasize high-performance computing applications in cardiovascular disease modeling, medical device simulation, and rupture risk assessment. Institution: Technische Universität München Department: Mechanics on High-Performance Computers Contact: gee@tum.de
Dr. Christopher L. Atkinson serves as Associate Professor in the Department of Business Administration at the University of West Florida's Lewis Bear Jr. College of Business, where he has taught since 2018. His professional trajectory uniquely combines academic scholarship with 17 years of practical experience in local government (Broward County, Florida) focusing on equal opportunity and economic development, plus federal contracting expertise from his tenure at the Federal Trade Commission. His educational foundation includes a PhD in Administration from Florida Atlantic University (2011), an MPA from George Washington University (2000), a BA in English from George Washington University (1998), and an AS in Business Administration from Sinclair Community College (2000). Key milestones: Dissertation: An evaluation of the impact of local government institutions on business resilience in disaster Author of two Routledge-published books: Semiotic Analysis and Public Policy (2019) and Toward Resilient Communities (2014) Current Book Review Editor for Public Organization Review Dr. Atkinson's research centers on institutional resilience through three interconnected lenses: disaster management (particularly hurricane impacts and business continuity), public procurement equity (examining disparity studies and vendor diversity), and policy semiotics (analyzing discourse frameworks in governance). His recent work increasingly addresses Global South climate adaptation challenges and the corporatization of academic freedom, reflecting evolving scholarly priorities while maintaining core focus on governmental responsiveness during crises. Analysis of his 15 most recent publications reveals dominant thematic clusters: 47% examine disaster resilience and vulnerability frameworks, 33% critique public procurement systems (with emphasis on disparity and competition), and 20% engage in theoretical book reviews spanning public administration, inequality studies, and academic governance. Notably, his scholarship consistently connects theoretical constructs like semiotic analysis to practical policy outcomes, particularly in emergency contexts. Professional engagement includes active membership in the American Society for Public Administration (ASPA), National Contract Management Association (NCMA), National Institute of Governmental Purchasing (NIGP), and Society for Human Resource Management (SHRM). His advising work extends to doctoral dissertation committees at Walden University, though specific student names aren't documented in available materials. Current research trajectories indicate deepening exploration of climate-vulnerable communities and procurement ethics in polarized political environments.
Pia Ruttner-Jansen is an External Doctoral Student at the WSL Institute for Snow and Avalanche Research SLF and affiliated with the GSEG group at ETH Zurich since March 2021. Her work focuses on remote sensing and geomatics applications in snow and avalanche research . Education : BSc in Geodesy and Geoinformation (Technical University of Vienna, 2018) MSc in Geomatic Engineering (ETH Zurich, 2021) Her research explores high-resolution snow depth monitoring using drones, terrestrial laser scanning (TLS) , and GNSS technologies to improve avalanche risk assessment and infrastructure safety in alpine regions. Key methodologies include: Low-cost lidar and optical sensors for snow depth mapping Probability-based avalanche run-out modeling Machine learning integration for GNSS residual analysis Recent publications highlight her contributions to automated railway infrastructure monitoring , avalanche core-powder cloud simulation , and keypoint-based TLS deformation detection . Her work emphasizes practical applications for mountain hazard mitigation . Current affiliations include: PhD Student at WSL Institute for Snow and Avalanche Research SLF PhD Student at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering
Fragiadakis Michalis is an Associate Professor at the Department of Structural Engineering , School of Civil Engineering, National Technical University of Athens (NTUA). His research focuses on seismic engineering, structural reliability, and machine learning applications in earthquake risk assessment. He serves as Director of the Department and operates from the Laboratory for Earthquake Engineering.
Scott D. Peckham is a Researcher at the Institute of Arctic and Alpine Research (INSTAAR) at the University of Colorado Boulder. He is also CEO and founder of Rivix, LLC, developing geospatial analysis software like RiverTools. His work focuses on physically-based mathematical modeling of watershed-scale hydrologic systems, source-to-sink sediment transport, and computational methods for earth surface processes. Education: PhD in Geophysics (1995), University of Colorado Boulder MS in Mathematics (1989), Oregon State University BS in Physics (1987), Oregon State University BS in Engineering Physics (1987), Oregon State University Scott has developed open-source earth surface process models including TopoFlow and Erode. His research spans hydrology, geomorphology, differential geometry, and cyberinfrastructure, with a focus on component-based modeling and efficient computational algorithms. His recent publications highlight work in model interoperability, AI integration, and earth system prediction frameworks. Scientific Awards: NASA Global Change Student Fellow (1990-1993) National Research Council Research Associate (1995-1998)
Tanzina Rahman is an Adjunct Professor in the Department of Civil and Urban Engineering at New York University. Her research focuses on environmental science, nanoparticle transport, and probabilistic sensitivity analysis, with expertise in water chemistry and laboratory modeling. Ph.D. in Environmental Science and Engineering (2013) from the University of Texas at San Antonio M.Sc. and B.Sc. in Civil Engineering from Bangladesh University of Engineering and Technology Her research explores the mobility of aluminum oxide nanoparticles in saturated sand, emphasizing ionic strength, flow rate, and nanoparticle concentration impacts. She has conducted experimental and computational studies to model transport mechanisms and environmental risks. Recent publications highlight her work on nanoparticle behavior in porous media, integrating probabilistic sensitivity analysis to identify key transport variables. Themes include environmental chemistry, hydrology, and computational modeling.
Haralambos Vasiliadis is an Adjunct Professor in the Department of Civil and Urban Engineering at NYU Tandon School of Engineering. Additionally, he serves as Senior Vice President at M&J Engineering P.C., leading their Water Resources and Environmental Engineering division. His academic and professional work intersects civil engineering, environmental systems, and industrial hygiene. Ph.D. in Civil Engineering (Polytechnic University, 1991) M.Sc. in Civil Engineering (Polytechnic University, 1988) Diploma in Civil Engineering (Aristotelian University of Thessaloniki, 1986) Dr. Vasiliadis specializes in water resources systems, environmental monitoring, and hazardous waste management. His research encompasses air quality control, noise pollution mitigation, and statistical modeling for infrastructure optimization. He has contributed to advancements in environmental engineering through publications on reservoir operation, treatment plant capacity analysis, and regulatory compliance protocols. His publications span academic journals and technical manuals, focusing on uncertainty-based reservoir policies, noise control frameworks, and hazardous material management. Key themes include water resources planning, environmental compliance, and health risk mitigation. Diplomate of the Academies of Environmental Engineers, Water Resources Engineers, and Industrial Hygienists Certified Industrial Hygienist by the American Board of Industrial Hygienists Member of ASCE, Sigma Xi, and AIHA Dr. Vasiliadis has served as an expert witness in legal cases and has extensive experience in environmental consulting. His work integrates engineering rigor with public health considerations, particularly in urban infrastructure projects.
Prof. Marielle Stoelinga is a Professor at the University of Twente, Netherlands, working within the Electrical Engineering, Mathematics and Computer Science faculty in the Formal Methods and Tools department. She leads significant research initiatives in formal methods with applications to safety, security, and reliability engineering. Her research spans predictive maintenance , fault tree analysis , attack tree modeling , and the integration of safety and security through formal methods. She focuses on applying big data analytics to predict system failures, with particular emphasis on critical infrastructure including railway systems, satellite missions, and nuclear reactors. Her work bridges theoretical formal methods with practical applications in asset management. Analysis of her recent publications reveals a strong trend toward integrating safety and security analysis through attack-fault-defense trees, developing formal frameworks for risk assessment, and applying model checking techniques to real-world maintenance problems. Her research increasingly addresses the human and organizational aspects of predictive maintenance systems while maintaining rigorous formal foundations. 5 million euros research grant from Dutch National Organization for Scientific Research (NWO) for PrimaVera project Prof. Stoelinga leads the PrimaVera research project ( Predictive maintenance for Very effective asset management ), which takes a holistic approach to predictive maintenance spanning sensor systems, data science, maintenance optimization, and human factors. Her research group actively contributes to formal methods applications in critical infrastructure sectors including energy, transportation, and aerospace.
Marc Hanheide is a Professor of Intelligent Robotics and Interactive Systems in the School of Computer Science at the University of Lincoln, UK. His academic career spans positions at the University of Lincoln (2012-present), University of Birmingham (2009-2011), and Bielefeld University (2006-2009). His doctoral training at Bielefeld University (2001-2006) established his foundation in computer science, leading to significant contributions in robotics research. He began his research career working on the EU IST project VAMPIRE, followed by leadership roles in major EU projects including COGNIRON, CogX, and the long-running STRANDS project. Marc Hanheide's research focuses on Autonomous Robotics, Human-Robot Interaction, Long-term Autonomy, Agricultural Robotics, and Nuclear Robotics . His work addresses fundamental challenges in enabling robots to operate effectively in dynamic, real-world environments over extended periods. He has pioneered approaches to human-robot spatial interaction, long-term localization, and multi-robot fleet management. Analysis of his recent publications reveals a strong trajectory toward practical applications in agriculture and hazardous environments, with emphasis on long-term stability, human-aware navigation, causal modeling for interaction, and fleet optimization. His work integrates theoretical advances in AI with tangible robotics applications that address real-world challenges in food production and nuclear decommissioning. Principal Investigator for major research initiatives: EU FP7 STRANDS project on long-term robotic behavior EPSRC Centre for Doctoral Training in Agri-Food Robotics (AgriFoRwArdS) National Centre for Nuclear Robotics (NCNR) Multiple agricultural robotics projects including ILIAD and Bacchus Long-Term His research leadership has secured substantial funding from EPSRC, BBSRC, Innovate UK, and the European Commission. He actively mentors students and early-career researchers, with a focus on translating theoretical robotics research into practical applications. His work demonstrates strong industry engagement, particularly in agricultural technology and nuclear robotics sectors. Based at the Lincoln Centre for Autonomous Systems (LCAS), Hanheide leads research on enabling robots to operate continuously in changing environments through innovations in perception, navigation, and human-robot interaction. His team develops systems that maintain functionality despite environmental changes, sensor degradation, and evolving task requirements.
Professor Luc E Chouinard is a faculty member in the Department of Civil Engineering at McGill University's Faculty of Engineering. He joined the department in June 1992 and currently teaches courses including CIVE 205 (Statics), CIVE 302 (Probabilistic Systems), and CIVE 609 (Risk Engineering). His educational background includes: B.Eng., M.Eng. from Montreal B.C.L. from McGill University Sc.D. from MIT Professor Chouinard is a specialist in structural engineering with diverse research and teaching interests including spatial modeling of environmental data (earthquakes, hurricanes, icebergs), estimation of natural and man-made hazards, reliability analysis of engineering systems, and the inspection, evaluation and modeling of aging infrastructures and optimal allocation of repair and maintenance funds. His work spans multiple areas of risk engineering, with applications to civil infrastructure, environmental hazards, and structural reliability. Analysis of his recent publications reveals a strong focus on structural health monitoring, risk assessment, and infrastructure management. His research demonstrates expertise in applying advanced statistical and probabilistic methods to civil engineering problems, with particular emphasis on earthquake engineering, façade design, concrete structures, and infrastructure resilience. The publications show consistent work in developing analytical methods for structural assessment and risk management under various environmental conditions. Professor Chouinard has been actively involved in various professional activities including: Eastern Regional Technical Committee of CANSEE Member of Engineering Mechanics Committee of CSCE Member of Rehabilitation of Infrastructures Co-Chair of the Subcommittee on Prevention and Life Expectance His current research interests include estimation of ice scouring hazards for offshore oil production facilities, condition indexing systems for rehabilitation of embankment dams, ice forecasting models for navigation in Canadian waters, hurricane hazard analysis in the Gulf of Mexico, and risk analysis of telecommunication networks with respect to atmospheric icing hazards. He previously worked as a research engineer at Chevron Oil Field Research Company and has provided consulting services in seismic hazard analysis, hurricane hazard analysis, design criteria for offshore platforms, sampling strategies, inspection and monitoring of structures, and optimal maintenance strategies.
