Georg Glasze is a Full Professor at the Institute of Geography, Friedrich-Alexander-Universität Erlangen-Nürnberg, leading the Working Group on Cultural/Political/Digital Geographies. His research explores how spaces are (re)produced through socio-technical processes, focusing on discourse theory, digital sovereignty, and geopolitical conflicts. Key Research Areas: Discourse and practice theory in geographies Digital transformation's political implications OpenStreetMap governance and inequalities Smart City critiques and digital governmentality His recent publications analyze European digital policies, environmental crises' spatial dimensions, and contested digital sovereignty frameworks. The working group collaborates with institutions in Canada, France, and Jordan, addressing global challenges through localized case studies. Notable Projects: Resilienz digitaler Infrastrukturen (2024-2028, funded by BMFTR) Offene Geodaten (2024-2026, DFG-funded) Geo-Daten zur digitalen Dokumentation von Menschenrechtsverletzungen (2022-2025, BMFTR)
Dr. Mateusz Jakub Fafinski is a Research Fellow at the Max Weber Centre for Advanced Cultural and Social Studies at the University of Erfurt. His work bridges historical analysis, digital humanities, and narratological frameworks to explore post-Roman urban transformations shaped by religious institutions. Research Focus : Urban adaptation (6th-11th centuries), monastic influence on cityscapes, church organization's role in creating para-urban landscapes, and digital methodologies for historical analysis. Publications : Authored/co-authored critical works on monasticism's urban impact, digital reproduction in historical scholarship, and spatial uncertainty in medieval texts. His 2021 book Roman Infrastructure in Early Medieval Britain remains a key reference. Digital Humanities Leadership : Pioneered fuzzy ontologies for mapping geographical uncertainty in historical manuscripts (2020) and contributed to computational methodologies in the INFORMATIK 2020 workshop. Current projects include Adapted Landscapes , redefining urban decline narratives through the lens of institutionalised religious life. His interdisciplinary approach integrates textuality, social interaction, and material culture to trace the foundations of High Medieval urban expansion.
Dr. Bob Swarthout is an Associate Professor with joint appointments in the Department of Chemistry and Fermentation Sciences and Department of Geological and Environmental Sciences at Appalachian State University, where he also serves as Director of the Environmental Sciences program. He holds a Ph.D. in Earth Systems Science from the University of New Hampshire, an M.S. in Environmental Studies from the College of Charleston, and a B.S. in Chemistry and Biology from SUNY Cortland. His research focuses on analytical environmental chemistry, investigating organic pollutants' impacts on air/water quality and climate. Key projects include: Measuring volatile organic compounds at AppalAIR Observatory to study plant-climate interactions Analyzing oil spill weathering effects on environmental persistence and toxicity Developing advanced instrumentation for atmospheric speciation (e.g., NSF-funded Aerosol Chemical Speciation System) Publication analysis (2018-2025) reveals dominant themes: Atmospheric chemistry (35% of recent work) with focus on VOC measurements and aerosol properties Oil pollution studies (40%) including transport mechanisms, spill forensics, and ecosystem impacts Interdisciplinary approaches (25%) spanning environmental education, public health, and analytical method development As Research Mentor and program director, he trains students in analytical techniques and scientific communication through AppalAIR Observatory projects. He maintains active collaborations with Woods Hole Oceanographic Institution on oil spill research.
Thomas C Henderson is a tenured Professor at the School of Computing within the College of Engineering at the University of Utah. His research focuses on autonomous systems , computational models , and intelligent machine systems , with specific interests in biosystem simulation, distributed systems, and adaptive algorithms. He has contributed to Bayesian sensor networks , UAS traffic management , and probabilistic logic frameworks for intelligent agents. Current academic appointments since 1989 Adjunct roles in Biomedical Engineering Active in IEEE committees (2024-2025) Research trends in recent publications emphasize autonomous aircraft coordination , probabilistic reasoning , and multi-sensor integration . Key subfields include lane-based airspace modeling, reinforcement learning for UAS, and pseudogradient navigation techniques. His work has received recognition through a Best Paper Award (IEEE 2008) and the US Air Force Summer Faculty Fellowship . Strategic deconfliction protocols Dynamic data-driven applications Structural health monitoring systems He actively mentors undergraduate research through courses like Deep Learning Capstone and Senior Capstone Design . Current grants include "Deep Learning in AI and Robotics" (2024-2029) and "Robust Reasoning using Geometric SAT/PSAT" (2022-2023).
Professor Peter Diggle is an EPSRC Senior Fellow at the University of Lancaster , where he leads a research program in Spatial and Longitudinal Data Analysis . He also holds an Adjunct Professor position in the Biostatistics Department at the Yale School of Public Health . Education : PhD from Newcastle University (1977), MSc from Oxford College (1973). Research Interests : Biostatistics, spatial epidemiology, longitudinal data analysis, public health modeling, and implementation science. Scientific Awards : EPSRC Senior Fellowship Recent Article Trends : His work spans geostatistical modeling for disease surveillance, wastewater-based COVID-19 monitoring, zoonotic spillover dynamics, and helminth control program optimization. Professional Roles : Founding co-editor of Biostatistics journal and trustee of the Biometrika Trust . Collaborations : Frequent collaborations with Federico Costa, Albert Ko, Jamie Childs, and Mitermayer Reis on tropical disease research.
Massimo Mecella serves as Full Professor at Sapienza University of Rome's Faculty of Information Engineering, Computer Science and Statistics, where he leads the Processes, Services and Software Management research group and participates in the CINI National Cyber Security Lab. His academic foundation stems from a PhD in Computer Engineering earned at Sapienza in 2002. His research expertise spans service-oriented computing, business process management, and cyber-physical systems with emphasis on service composition, process mining, and adaptive distributed architectures. Key technical domains include IoT integration, digital twin development, and security frameworks for complex software ecosystems. Recent publications (2024-2025) demonstrate a pronounced shift toward Large Language Model (LLM) integration in business processes and smart manufacturing. Dominant themes include LLM-driven process modeling, multimodal quality control systems, and digital twin implementations for energy management and production optimization. Methodological innovations focus on retrieval-augmented generation (RAG) for service discovery and fuzzy cognitive maturity assessments. His distinguished recognition includes: ICSOC 2013 Most Influential Paper Award (2003-2012 decade) 2017 Best Paper Award As research group leader, Mecella directs projects in smart manufacturing, process mining, and cyber-physical security, with funding typically sourced from EU initiatives and industry partnerships in aerospace, healthcare, and energy sectors. His team maintains active collaborations with aerospace manufacturers through the MICS SPOKE8 project and develops frameworks like SAMBA for human-in-the-loop manufacturing systems. The Processes, Services and Software Management group operates within Sapienza's engineering faculty infrastructure, utilizing specialized labs for CPS/IoT testing and digital twin simulation, with strong ties to the CINI Cyber Security Lab for security validation.
Antonio Pietrabissa is an Associate Professor at the Department of Computer, Control, and Management Engineering “Antonio Ruberti” (DIAG) of the University of Rome Sapienza, where he earned his degree in Electronics Engineering (2000) and PhD in Systems Engineering (2004). He has been teaching Automatic Control and Process Automation since 2010 and holds the National Scientific Qualification as Full Professor in Systems and Control Engineering (09/G1). Research interests include networked systems, robust control, Markov decision processes, and deep reinforcement learning. His work spans telecommunications, biomedical applications, and space systems, with a focus on federated learning and decentralized control. He has authored ~70 journal papers (Scopus h-index 22) and co-invented a patent for model predictive control in motor disability assistance. Awards include the 2021 Cybersecurity Award and ETRI Journal Best Paper. Current projects are NANCY (6G networks) and CADUCEO (AI-driven medical diagnostics). He is also CEO of Sapienza startup Automation Intelligence and Control (AICO), commercializing AI solutions for space, telecom, and biomedical sectors.
Ricardo J. Machado is a Full Professor of Information Systems Engineering at the University of Minho, where he founded this disciplinary area. He currently serves as President of the CCG/ZGDV Institute and has held strategic roles including Vice-Rector of UMinho. He is a member of the Board of GraphicsVision.AI, the leading academic network in Europe in computer graphics and vision. DEng in Electrical and Computer Engineering (U.Porto) MSc and PhD in Computer Science and Engineering Dr. Habil in Information Systems Engineering (UMinho) Certified Software Product Manager (ISPMA) Cybersecurity and Crisis Management programme from Portuguese National Defence Institute Professor Machado's research focuses on modeling and requirements engineering, systems architecture, process and project management, information semantics, ontologies, and cognitive computing. He has developed several methods and tools including the 4SRS method and the shobi-PN meta-model for requirements analysis, software architecture, ontology computation, and project portfolio management. His work bridges theoretical frameworks with practical industrial applications across various sectors. His recent publications demonstrate a strong trend toward digital transformation across multiple domains including smart cities, healthcare systems, industry 4.0, and higher education. The research shows increasing integration of semantic interoperability, logical architecture design, and data management frameworks. His work consistently addresses the challenges of aligning business processes with technical implementations while focusing on practical applications in real-world settings. IEEE MGA Achievement Award APLOG Excellence Award TAA Textbook Award nomination by Springer Professor Machado has supervised nearly one hundred PhD and MSc students, many of whom now hold leadership roles in academia and industry. He has led over 50 R&I projects funded by FCT, ANI, IAPMEI, and the European Union, partnering with institutions including Carnegie Mellon University, MIT, Fraunhofer, and Bosch. His project portfolio spans requirements engineering, systems architecture, and digital transformation initiatives across multiple sectors including healthcare, manufacturing, and smart cities. He founded the SEMAG research group at ALGORITMI and the EPMQ department on Software Engineering and Intelligent Data at CCG/ZGDV. As Director of the ALGORITMI Research Centre, he coordinated UMinho's participation in strategic initiatives such as CEDT, CMU | Portugal, EIT Digital, EUHubs4Data, and Gaia-X Portugal. He also co-founded DTx and ProChild CoLabs, and TICE.pt and CSCP Clusters.
Emily S. Gurley is a Professor at the Bloomberg School of Public Health , Johns Hopkins University . She holds primary affiliations with the Department of Epidemiology (Division of Infectious Disease Epidemiology) and Center for Global Health . Her work spans research, teaching, and field operations in Bangladesh , where she has led initiatives in outbreak detection and disease surveillance since 2003. Education: PhD, Johns Hopkins Bloomberg School of Public Health (2012) MPH, Emory University (2002) BA, Oglethorpe University (1996) Research Focus centers on emerging infectious diseases , particularly Nipah virus and arboviruses , using a One Health framework. She emphasizes disease surveillance , outbreak investigation , and transmission dynamics at the human-animal-environment interface. Her projects include CHAMPS (Child Health and Mortality Prevention Surveillance) in Bangladesh and collaborations with the US CDC . Notable Trends in Research include the intersection of zoonotic spillover , genomic epidemiology , and public health policy , with a focus on Bangladesh and South Asia . Her work addresses pandemic preparedness , vaccine trials , and antimicrobial resistance in low-resource settings. Scientific Awards include: Excellence in US COVID-19 Public Health Practice (Coursera, 2021) Coursera Innovation Award for Contact Tracing Course (2021) Shikani/El-Hibri Prize for Discovery (2020) Inaugural Abe Lilienfeld Student Award (2011) Advising and Collaborations highlight her mentorship of junior scientists and leadership in interdisciplinary studies. She serves on the WHO Nipah Virus Taskforce and contributes to global CHAMPS and Global Disease Detection programs.
Tobias Kristoffer Boström serves as Professor of Renewable Energy at UiT The Arctic University of Norway within the Department of Physics and Technology. His research focuses on developing sustainable energy solutions specifically adapted to Arctic conditions, with particular expertise in integrating solar power systems with electric vehicle infrastructure. He maintains an active research program through the Arctic Center for Sustainable Energy (ARC) and contributes to the Smart Senja/RENEW project. Boström's research interests center on renewable energy systems in high-latitude environments, with major contributions to solar energy potential assessment in the Arctic, vehicle-to-grid integration, battery technologies for extreme conditions, and optimization of hybrid renewable energy systems. His work addresses the unique challenges of implementing renewable energy solutions in northern regions where conventional approaches often fail due to extreme weather, limited sunlight during winter months, and sparse population centers. Analysis of his publication record from 2015-2025 reveals a strong focus on practical applications of renewable energy technologies in challenging environments, with increasing emphasis on system integration rather than component-level research. His work demonstrates a progression from fundamental material science studies toward comprehensive energy system modeling, reflecting the maturation of renewable energy technologies from laboratory concepts to real-world implementations. Boström actively collaborates with researchers across multiple disciplines, frequently working with colleagues in electrical engineering, materials science, and environmental studies. His research has practical applications for communities across northern Norway and other Arctic regions seeking sustainable energy solutions that can withstand extreme conditions while maintaining economic viability.
T M Indra Mahlia , a Distinguished Professor at the School of Civil and Environmental Engineering , University of Technology Sydney (UTS), leads cutting-edge research in sustainable energy systems and environmental engineering. As a core member of the Centre for Technology in Water and Wastewater and the Centre for Advanced Modelling and Geospatial Information Systems , he bridges engineering innovation with practical climate solutions. PhD from University of Malaya (Kuala Lumpur, Malaysia) Fluency in English, Indonesian, Malay, and Achinese for peer review His research spans Techno-Economic Analysis , Circular Economy , and Water-Energy Nexus challenges, supported by over $5 million in grants. His work focuses on: Hydrogen energy systems optimization Advanced materials for energy storage Low-cost water purification technologies Sustainable biodiesel production Thermal management innovations As a Highly Cited Researcher (Clarivate Analytics, 2017-2022) and The Australian 's 2019/2025 Sustainable Energy Leader , he mentors future researchers - notably guiding two Highly Cited PhD students ( H.C. Ong and A.S. Silitonga ). His publications across 2024-2026 demonstrate technical advancements in: Hydrogen carrier systems Microalgae-derived lubricants High-entropy alloy corrosion resistance Artificial neural network optimization Phase change material thermal sinks Biohydrogen production pathways
Kun Gao is an Assistant Professor at the Department of Architecture and Civil Engineering at Chalmers University, leading the Urban Mobility Systems research group. His work bridges transportation engineering and data science to develop sustainable mobility solutions through electrification, shared systems, and connected infrastructure. Research Focus: Electric vehicle integration, charging infrastructure optimization, multimodal mobility systems Funding: Supported by JPI Urban Europe, FORMAS, Swedish Innovation Agency, Swedish Energy Agency, and Chalmers AoA Transport/Energy Methods: Machine learning, big data analytics, system optimization His recent publications emphasize autonomous vehicle safety , renewable energy integration , and equity in mobility systems . Current work explores AI-driven infrastructure planning and coupled transportation-energy systems.
Haakon Bryhni is a Research Professor at Simula Research Laboratory's Center for Resilient Networks and Applications, focusing on telecommunications infrastructure and network resilience. His work spans optical fiber sensing, Cloud-RAN architecture, 5G networks, and network security. Expertise in telecommunications and network infrastructure Contributions to optical fiber sensing and AI-driven network outage classification Active in public outreach and policy analysis for ICT resilience Recent research explores Sagnac loop sensing systems , Cloud-RAN integration , and cybersecurity preparedness in Norway. Collaborations include international conferences and publications in Optics & Laser Technology , Sensors , and IEEE journals. Contact: haakonbryhni@simula.no
Ajay Kalra serves as an Associate Professor of Water Resources Engineering in the Civil Engineering Department at Southern Illinois University Carbondale's College of Engineering. His office is located in Engineering Building, Room 114, where he teaches undergraduate and graduate courses including Fluid Mechanics, Open Channel Hydraulics, Water Resources Engineering, and Advanced Hydraulic Design. Dr. Kalra's research spans hydro-climatology, urban sustainability, artificial intelligence applications in water resources, drought frequency analysis, and probabilistic forecasting. His interdisciplinary work connects climate science with practical water management solutions, focusing on how large-scale climate patterns influence regional hydrology. He has developed innovative approaches using machine learning to improve streamflow forecasting and drought prediction, particularly in western U.S. river basins. His scholarly output shows consistent productivity with research trends indicating increasing focus on machine learning applications for hydrological prediction, climate change impacts on water resources, and urban flood management. Recent publications demonstrate strong integration of remote sensing data with traditional hydrological models to address water challenges in both gauged and ungauged basins. Outstanding dissertation award 2011 (UNLV) Outstanding dissertation award 2011 (UNLV-College of Engineering) Best poster award (2nd Place, UNLV-College of Engineering) GPSA merit award 2010-2011 Member Tau Beta Pi (Engineering Honor Society) Dr. Kalra actively mentors graduate students and collaborates with researchers across institutions. His professional service includes membership in the American Geophysical Union and American Society of Civil Engineers. His current research program continues to explore the connections between oceanic-atmospheric oscillations and regional hydrology while expanding into urban water sustainability challenges under changing climate conditions.
Michael Hicks is a Professor at Delft University of Technology (TU Delft) in the Civil Engineering & Geosciences school, specializing in Geo-engineering . His research focuses on geotechnical risk assessment, soil variability, and advanced numerical methods like the Material Point Method (MPM) to model slope failures, earthquake simulations, and soil-structure interactions. Editorial board member for Géotechnique , Georisk , and Computers and Geotechnics (2019) Keynote speaker at workshops on slope failure modeling (2018) Active in public engagement about flood risk management (2017–2018) His work addresses challenges in soil heterogeneity, dynamic boundary conditions, and reliability-based design for infrastructure. Notable contributions include developing probabilistic MPM frameworks and machine learning tools for CPT data interpretation, with applications in earthquake resilience and radioactive waste repository safety. Recent publications highlight innovations in 3D slope stability analysis, nonlocal soil deformation modeling, and thermomechanical interface behavior under cyclic loading. Collaborations span academia and industry, focusing on improving numerical accuracy and understanding failure mechanisms in geotechnical systems.
