MARÍA BORREGO RAMOS is a Research Assistant at the University of León in the Department of Biodiversity and Environmental Management , affiliated with the Institute of Environment, Natural Resources and Biodiversity and the LIMNO (Limnology and Environmental Biotechnology) research group. Her work focuses on diatom taxonomy and environmental applications. Research interests include: Evaluating diatom taxonomy through morphometric analysis Using diatoms as bioindicators for water quality assessment Applying machine learning to diatom classification Studying subterranean diatom communities in karst caves Analyzing deformation patterns caused by acid mine drainage Publications highlight technical advancements in diatom classification (99% accuracy via deep learning) and ecological studies of polluted systems. Her 2019 work describes Germainiella legionensis , a new cave diatom species.
David Jaime Cocovi Solberg is a postdoctoral researcher at the University of Natural Resources and Life Sciences, Vienna (BOKU), focusing on instrumentation design for exposome assessment. He is also a visiting professor at Gdańsk University of Technology (GUT) and maintains academic ties with the University of the Balearic Islands (UIB), where he completed his education and contributed to the FITRACE research group. His interdisciplinary work bridges environmental chemistry, analytical instrumentation, and data automation. Education: Bachelor in Chemistry, University of the Balearic Islands (UIB), 2010 Master in Chemical Science and Technology, UIB, 2011 PhD in Chemical Science and Technology, UIB, 2017 (cum laude) Predoctoral stays at DTU (Denmark), BOKU (Austria), and University of Valencia (Spain) His research focuses on environmental chemistry, chromatographic analysis, automation, and instrumentation technology. He specializes in the orthogonalization of separations, data processing using Python, and the development of miniaturized, field-deployable analytical systems. His work supports exposome research through innovative instrumentation and software tools. The 15 most recent publications highlight a strong trend in developing automated, miniaturized analytical systems for environmental monitoring, particularly for emerging contaminants, PFAS, and endocrine disruptors. His research integrates separation science, microfluidics, sensor networks, and machine learning, with a consistent emphasis on open-source software (e.g., CocoSoft) and real-time, on-site detection. The keywords span environmental chemistry, analytical instrumentation, and data science, reflecting his interdisciplinary approach. Scientific Awards: Recipient of 3 research awards (specific names not provided) Holds intellectual property for the software 'CocoSoft' He has delivered over 300 hours of teaching in graduate and undergraduate programs, particularly in Instrumental Methods in Environmental Chemistry and Soil Chemistry and Control at UIB. He has served as a reviewer for leading journals including Science of the Total Environment , Talanta , Micromachines , and Sensors . He has not disclosed specific grant funding, but his research output and software development suggest active project involvement. His professional service includes membership in SEQA, SECyTA, QUIMIBAL, SETAC, and the judicial expert panel of the Balearic Islands High Court. David Cocovi Solberg is actively involved in the Flow Injection and Trace Analysis (FI-TRACE) Consolidated R+D+I Group at UIB as a member, contributing to trace analysis and flow-based systems research. His work combines laboratory innovation with practical applications in environmental monitoring, supported by a strong publication record and software development.
Massimo Tavoni is a Full Professor at the School of Management, Politecnico di Milano, and Director of the RFF-CMCC European Institute on Economics and the Environment (EIEE). He is a leading expert in climate change economics, energy policy, and integrated assessment modeling, with extensive contributions to international climate science and policy. Research Interests: Climate Change Economics Environmental and Energy Economics Behavioral Economics Integrated Assessment Modeling Climate Policy Design and Evaluation His recent research explores behavioral interventions for energy conservation, climate finance mechanisms, carbon pricing, and modeling of low-carbon transitions. The analysis of his publications reveals a strong focus on interdisciplinary approaches combining economic modeling with behavioral insights and climate science, particularly in the context of global climate agreements and national mitigation strategies. Scientific Awards and Honors: European Research Council (ERC) Grant recipient Lead Author, IPCC 5th and 6th Assessment Reports Best Invention of the Year, Time Magazine (2009) Service and Advisory Roles: Massimo Tavoni has advised major international institutions including the OECD, the World Bank, and the Asian Development Bank on climate change policy. He co-directs the International Energy Workshop and served as Deputy Editor for Climatic Change . He has held prestigious fellowships at Stanford University’s Center for Advanced Study in the Behavioral Sciences and as a postdoctoral fellow at Princeton University. Laboratories and Research Groups: As Director of EIEE, he leads a multidisciplinary research team focused on economics and environmental policy, fostering collaboration between economists, modelers, and policy analysts to inform climate action at global and regional levels.
Nerantzis Kazakis is an Assistant Professor at the University of Patras (Department of Geology) while also serving as Temporary Teaching Staff at Aristotle University of Thessaloniki's School of Geology since 2020. His work focuses on groundwater-surface water interactions, aquifer vulnerability assessment, and environmental risk analysis in Mediterranean systems. Hydrogeology Groundwater-surface water interactions GIS and remote sensing applications Isotope hydrology Machine learning for water prediction Multi-pollutant vulnerability assessment His recent publications (2023-2025) emphasize integrated groundwater management frameworks, hybrid modeling approaches for aquifer vulnerability, and innovative solutions for water depletion challenges. Articles frequently employ GIS, stable isotopes, and machine learning algorithms to address contamination risks and resource sustainability. Kazakis actively reviews for 15+ journals including Science of the Total Environment and Environmental Science and Pollution Research . His research involves collaborations with Gianluigi Busico, Micòl Mastrocicco, and Konstantinos Voudouris across multiple institutions.
Professor Godwin Ayoko is a leading academic in Chemistry and Environmental Science at Queensland University of Technology (QUT), where he holds a Professorship in the School of Chemistry & Physics. He earned his PhD in Chemistry from the University of Sussex (England) in 1986. His research focuses on environmental analytics, nanosensors for pollutant detection, and multivariate data analysis. Key roles include Acting Head of the School of Physical and Chemical Sciences (2006), leadership in research grants (e.g., ARC-funded projects on airborne particles and water quality), and supervision of over 20 HDR students. He has authored/co-authored over 200 publications and holds prestigious awards like the RACI Environmental Chemistry Medal (2014) and Fellowships from the Royal Society of Chemistry (2016) and RACI (2008). His work spans environmental toxicology, material synthesis for pollution control, and receptor modeling for pollution source identification. Research Interests: Ultra-trace detection of environmental contaminants using nanosensors; application of modern analytical techniques for pollution monitoring; receptor modeling for source apportionment; synthesis and characterization of inorganic materials. His projects address real-world challenges like emissions from vehicles, stormwater pollution, and microplastic impacts in urban waterways. Grants & Collaborations: Major grants include an ARC LIEF grant for aerosol mass spectrometers (2006), studies on compressed natural gas bus emissions (2006), and current projects on nanoscale platforms for biomolecule detection. Collaborations span institutions like the University of Southern Queensland and international partners. His research bridges fundamental science with applied solutions for environmental sustainability. Awards & Recognition: Recognized for contributions to environmental chemistry through awards from RACI and QUT. His leadership in academic administration and pedagogy includes supervision excellence and innovation in teaching analytical methods. He is a Technical Assessor for NATA and active in professional societies like the Royal Society of Chemistry.
Antonio Lucadamo is an Associate Professor at the Department of Law, Economics, Management and Quantitative Methods (DEMM) of the University of Sannio. His research focuses on statistical modeling, decision analysis, and multivariate methods with applications in diverse fields such as financial markets, cultural festivals, environmental science, and healthcare evaluation. Key Research Areas : Decision theory, ordinal data handling, AHP methodology, environmental quality assessment Recent Collaborations : Pietro Amenta, Ida Camminatiello, Gabriella Marcarelli, and Matteo Rossi Publication Trends : His work spans from foundational statistical techniques (e.g., co-inertia analysis, Taguchi index generalization) to applied studies in financial decision-making, festival loyalty models, and environmental quality assessment. Notable subfields include pairwise comparison matrices, OWA operators, and spectral soil analysis. Contact : antonio.lucadamo@unisannio.it
Lea Petrella is a Full Professor at the Department of Methods and Models for Economics, Territory, and Finance, Sapienza University of Rome. She teaches courses in Time Series Analysis and Advanced Statistical Methods , focusing on practical applications using R software. Research Interests: Quantile regression, Graphical models, Hidden Markov Models, Risk measures, and Time Series analysis Key Projects: Generalized Dynamic Graphical Models for pandemic impacts, Penalized quantile regression for risk assessment, Multivariate quantile regression frameworks Her recent publications include: 2025: Mid-quantile mixed graphical models for public shootings 2025: Spatial quantile random forests for economic mobility 2024: Expectile hidden Markov models for cryptocurrency returns 2024: Mixed-frequency quantile regressions for risk forecasting She supervises postdocs and PhD students including Maria Saiz, Beatrice Foroni, and Valentina Raponi. Her work spans financial risk modeling, environmental statistics, and biomedical applications. Email: Lea.Petrella@uniroma1.it or lea.petrella@uniroma1.it
Ranadeep Daw is an Assistant Professor in the Department of Mathematics and Statistics at the University of West Florida, part of the Hal Marcus College of Science and Engineering. He joined UWF in Fall 2024 after completing a postdoctoral fellowship at the National Institute of Environmental Health Sciences. He holds a Ph.D. in Statistics from the University of Missouri Columbia and degrees in Statistics from the Indian Statistical Institute, Kolkata. Ph.D. in Statistics, University of Missouri Columbia, 2023 M. Stat., Indian Statistical Institute, Kolkata, 2016 B. Stat., Indian Statistical Institute, Kolkata, 2014 Dr. Daw's research lies at the intersection of spatial statistics, computational methods, and machine learning. He develops low-rank spatial models, regionalization techniques using Karhunen-Loève expansions, and novel algorithms like REDS and SBoost for large-scale spatial prediction. His work applies to environmental risk modeling, exposure assessment, and biostatistics. He is actively developing computational tools in Julia, including the CAGE.jl package. His recent publications demonstrate a strong trend in scalable spatial methodologies, blending statistical theory with machine learning for environmental and public health applications. Key themes include data reduction, uncertainty quantification, and high-resolution imputation of pollutants like NO2. He has published in top journals such as Journal of Geographical Systems , Environmetrics , and Journal of Data Science . Scientific Awards: INSPIRE Scholarship, Department of Science and Technology, Government of India (2011–2016) Qualified for National Level, Regional Mathematical Olympiad (2010) Dr. Daw has served as a reviewer for journals like Spatial Statistics and Signal Processing . He has mentored at the graduate level as a Teaching Assistant and Instructor at the University of Missouri. He is actively seeking collaborations, particularly in biostatistics and Julia-based tool development. His research has been supported through academic appointments and fellowships, including at NIEHS and Deloitte. He is involved in developing open-source tools and has presented his work at major conferences including JSM and ICSA. His current projects include SBoost and MVCAGE, focusing on supervised dimension reduction and boosting for spatial data.
Ayşe Filiz Sunar is a Professor in the Department of Geomatics Engineering at Istanbul Technical University, Faculty of Civil Engineering. She has a distinguished academic and research career in remote sensing, photogrammetry, and GIS applications in environmental and urban domains. Her work spans international collaborations with institutions in Italy, Finland, and the EU, and she has led numerous national and international projects. Her educational background includes a PhD in Geodesy and Photogrammetry Engineering from Istanbul Technical University. She has held academic positions at Politecnico di Milano, University of Padova, and University of Bristol, and has served as a project referee for EU Horizon programs. Her research interests include remote sensing , GIS for planning , photogrammetry , urban expansion monitoring , forest fire risk assessment , water quality analysis , and crop monitoring . She applies advanced techniques such as machine learning, image fusion, and sensor integration to solve environmental and urban challenges. The recent articles demonstrate a strong focus on environmental monitoring , especially in water quality (e.g., Gulf of Izmit), forest fire dynamics , agricultural assessment , and image processing . Her work increasingly integrates machine learning and multi-sensor data fusion (e.g., SAR and optical) for improved accuracy and insight. Best Poster Presentation Award ISPRS and URSI, 2018 The IIER Excellent Paper Award, 2018 She has advised numerous graduate students and researchers, often co-authoring with them on topics like urban change, land cover classification, and disaster management. She has been Principal Investigator on TÜBİTAK and EU-funded projects such as Gaining Additional Urban Space (GAUS) , ITACA , and Detecting is not enough: Fire Event Situation Awareness from Earth Observation (FirE-SAFE) . She is actively involved in editorial roles for ISPRS, ASPRS, and Springer publications, and has contributed to books and conference proceedings on remote sensing and GIS. She leads research integrating remote sensing with GIS for archaeological investigations, coastal monitoring, and urban planning.
Dr David Megson is a Reader in Chemistry and Environmental Forensics at Manchester Metropolitan University. His work focuses on analytical techniques, environmental pollutant tracking, and forensic identification of contamination sources. Role : Associate Professor in Environmental Forensics Expertise : Multidimensional chromatography, high-resolution mass spectrometry Collaborations : World Animal Protection, Chemistry Matters His research addresses the fate and transport of persistent organic pollutants (POPs) and PFAS using advanced analytical methods. He emphasizes inclusivity in science and supervises PhD students and KTP associates. Recent work includes studies on microplastics, PFAS contamination, and PCB resurgence, with notable media coverage in outlets like the Guardian , BBC , and National Geographic . Over 15 publications since 2017 highlight his contributions to environmental forensics. Scientific Awards : Best student presentations at RSC INEF Conferences (2014, 2013, 2006); First place young member presentation at CIWEM (2010) He has secured over £4 million in grants, including UKRI fellowships and KTP partnerships. Collaborations extend to industry (UBU Environmental, IWantPlants) and NGOs (World Animal Protection). His laboratory develops chemical fingerprinting and multivariate statistical tools for contaminant tracking.
Robin Matthews is a Professor in the College of the Environment at Western Washington University and the former Director of the Institute for Watershed Studies. She holds a PhD in Botany/Aquatic Ecology from Virginia Polytechnic Institute and State University, an MS in Environmental Studies from Indiana University, and a BS in Biology from the University of California, Riverside. PhD in Botany/Aquatic Ecology – Virginia Tech MS in Environmental Studies – Indiana University BS in Biology – University of California, Riverside Her major research interests include aquatic ecology , pattern analysis of large ecological datasets , and limnological modeling . She has conducted extensive research on Lake Whatcom, focusing on nutrient dynamics, trophic state classification, and seasonal nitrogen limitation. Her work bridges field ecology, data science, and environmental policy. The selected publications reflect a strong focus on freshwater systems, nutrient cycling, algal taxonomy, and ecological modeling. Her research spans from microbial processes to whole-ecosystem dynamics, with consistent emphasis on data analysis and environmental monitoring. She has contributed significantly to textbooks and technical reports, including a major edition of Environmental Engineering . Dr. Matthews has received external funding as the principal investigator for the Lake Whatcom monitoring program, supported by the City of Bellingham. Her work integrates long-term ecological data with community-level toxicity assessments and environmental risk modeling. She has advised numerous students, many of whom co-authored her publications, particularly in mesocosm studies, nutrient retention, and invertebrate ecology. She is affiliated with the Institute for Watershed Studies at Western Washington University, which supports interdisciplinary research on watershed science, policy, and management. The institute conducts monitoring, data analysis, and outreach for regional water bodies, especially Lake Whatcom.
Christian Huck is a full Professor and Head of the Institute of Analytical Chemistry and Radiochemistry at the University of Innsbruck. He holds roles including Deputy Head of Institute (2009), Vice-President of the Austrian Chemical Society (2019), and Head of the Faculty of Chemistry and Pharmacy Council (2021). His academic journey includes a Dr.rer.nat. (1998), Habilitation in Analytical Chemistry (2006), and professorships at Universities of Stuttgart (2014) and Innsbruck (2015). Research focuses on vibrational spectroscopy (NIR/MIR/Raman/FUV), quantum chemical simulations, separation technologies (LC/MS/MS), and applications in phytomics, metabolomics, and proteomics. He leads projects like 'Cereal' (Interreg Austria-Italy) and 'Qualimeat' (Interreg Austria-Bavaria), and collaborates with industries like Bionorica SE. His lab uses advanced instruments including Bruker SenterraII Raman and Orbitrap Exploris 120. Huck is an award-winning scientist with honors including the SAS Fellow Award (2021) and Birth Award (2022). He chairs conferences like NIR 2023 and serves on editorial boards of Spectrochimica Acta and Frontiers in Chemistry . Current research spans forensic bone analysis, environmental microplastics, and handheld NIR sensors for food safety.
Dr. Jennifer McIlwain is an Associate Professor in the School of Molecular and Life Sciences at Curtin University, within the Faculty of Science and Engineering. Her research focuses on coral reef systems across the Arabian Sea, Arabian Gulf, Red Sea, and west Pacific regions, emphasizing Reef Fish Population Dynamics. Key areas include larval replenishment, population connectivity, acoustic telemetry, and Marine Protected Area efficacy. She employs interdisciplinary methods like genetics, demography, and population modeling to address fisheries challenges. Mentoring students and fostering global perspectives on tropical marine ecosystems are central to her work. Her research spans over a decade, addressing climate change impacts, deforestation effects on marine systems, and ENSO-driven hydroclimate patterns. Notable contributions include studies on coral geochemistry, microplastic detection protocols, and sustainable aquaculture practices. Dr. McIlwain’s work bridges ecological science with conservation strategies, particularly in mitigating coastal development impacts and improving fisheries management. Publications highlight her expertise in coral resilience, genetic connectivity of fish populations, and the socioeconomic role of marine tourism. Her findings underscore the importance of interdisciplinary approaches to safeguarding tropical marine biodiversity under anthropogenic pressures.
Rudolf Krska is a full Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU), where he leads the Institute for Bioanalytics and Agro-Metabolomics in Tulln. His joint appointments include Professorships at Queen's University Belfast and Kansas State University. With a career spanning over three decades, he specializes in analytical chemistry, food/feed safety, and mycotoxin research. Research Focus: Krska's work centers on developing cutting-edge analytical methods (LC-MS/MS, infrared spectroscopy) for detecting contaminants in food chains. Key areas include: Mycotoxin control strategies and metabolomics of plant-fungi interactions Immunoassays, reference materials, and proficiency testing Climate change impacts on food contaminants and rapid on-site detection technologies Scientific Output: His recent publications (2024-2025) demonstrate a strong emphasis on spectroscopic mycotoxin detection, climate-related contaminant patterns, and global food safety challenges, particularly in vulnerable regions like Sub-Saharan Africa. Awards & Honors: Nils Foss Excellence Prize (2024), Chemistry Leader Award (2023) 5x Web of Science Highly Cited Researcher (2015-2019) Honorary Professor (China), Royal Irish Academy Membership Golden Ring of Tulln, Fritz-Pregl-Medal, and 20+ other distinctions Leadership & Projects: Krska directs major initiatives including FFoQSI's strategic research and EU projects like MyControl-ET. He founded two spin-offs (Biopure, Quantas Analytics) and oversees BOKU's analytical core facilities. Education & Training: Trained at TU Wien (Dipl.-Ing. 1990, Dr.techn. 1993), he mentors emerging scientists through international collaborations and laboratory management.
Denitsa Parashkevova Grigorova is an Associate Professor at the Faculty of Mathematics and Informatics, Sofia University. Her work spans probability, operations research, and statistics, with applications in longitudinal data analysis, environmental science, and medical research. Key Research Areas: Ordinal longitudinal modeling, EM algorithm implementation, ozone pollution effects on tree growth, and statistical genetics in oncology. Notable Publications: Focus on computational statistical methods, environmental impact assessment, and medical data analysis.
