Prof. Ingo Grass is a Full Professor at the University of Hohenheim, heading the Department of Ecology of Tropical Agricultural Systems (490f) and serving as Deputy Head of the Department of Crop Production in the Tropics and Subtropics (490e). He is Director of the Hans Ruthenberg Institute for Tropical Agricultural Sciences and an Equal Opportunities Officer within the Faculty of Agricultural Sciences. His research focuses on agroecology, tropical agricultural systems, and biodiversity conservation in human-modified landscapes. Education: PhD in Biology from Philipps-Universität Marburg (2014). PostDoc at University of Göttingen (2014-2019) before moving to Hohenheim. Research Interests: Agroecosystem biodiversity, pollination ecology, land-use impacts on ecosystems, and sustainable farming practices. His work emphasizes reconciling productivity with biodiversity preservation, with a focus on tropical regions and temperate grasslands. Articles Trends: Recent work explores pesticide impacts on non-target insects, agroecological strategies to enhance pollination and biocontrol, and biodiversity benefits of diversified crops. He frequently collaborates on global studies involving tropical landscapes and urban agriculture dynamics. Awards: Maria Sibylla Merian Award (2013), Teaching Excellence Awards (2016 & 2018). Labs/Teams: Leads interdisciplinary teams in tropical agroecology, collaborating with institutes in Indonesia, Madagascar, and South Africa.
Daniel E. Horton is an Associate Professor in the Department of Earth, Environmental & Planetary Sciences at Northwestern University's Weinberg College of Arts and Sciences, where he leads the Climate Change Research Group (CCRG). His interdisciplinary work bridges atmospheric science, environmental health, and geoscience through advanced modeling techniques. Education: Ph.D. in Geological Sciences from University of Michigan B.S. in Atmospheric Science from Texas A&M University B.S. in Physics from Tulane University Horton's research spans extreme weather events, near-term societal impacts of climate change, geologic climate evolution, and exoplanet habitability. His group integrates atmospheric, biospheric, cryospheric, hydrospheric, and lithospheric processes using numerical models, environmental observations, and machine learning. Recent work emphasizes environmental justice through neighborhood-scale air quality analysis and transportation electrification impacts. Analysis of his 10 most recent publications (2022-2023) reveals three dominant research thrusts: (1) urban air quality modeling with WRF-CMAQ systems focusing on racial disparities in pollution exposure, (2) transportation electrification impacts on public health and equity, particularly for heavy-duty vehicles, and (3) hydrological extremes including precipitation variability and post-wildfire debris flows. Machine learning applications are increasingly prominent across all research areas. Scientific Awards: NSF CAREER Award (2023) for research on air quality, public health, and equity implications of transportation electrification Horton secured a $600,000 NSF grant supporting both research and educational initiatives, including after-school sustainability programming for Chicago middle schools. His Climate Change Research Group actively recruits graduate students for projects at the intersection of climate science and societal impacts, with strong collaborations across environmental health, urban planning, and engineering disciplines. Current work emphasizes equity-centered climate solutions through fine-scale spatial analysis of pollution and health outcomes.
Gregory Michael Peck is an Associate Professor and Director of Undergraduate Studies for the Plant Sciences Major at Cornell University's School of Integrative Plant Science, Horticulture Section. His research focuses on sustainable tree-fruit production, particularly in organic apple systems , cider apple germplasm evaluation , and crop-load management through pollen tube growth modeling . Award-winning educator (2021 Cornell Teaching, Advising & Mentoring Award) 2018 Grower Advocate of the Year (American Cider Association) Active in outreach through field days, extension publications, and social media Peck's work spans tree-fruit physiology , soil health , and mechanization of orchard practices . He co-teaches Cornell's popular cider appreciation course with microbiologist Kathy Arnink, combining apple production science with fermentation expertise. His research explores phenolic development , nitrogen management , and yeast interactions in cider production systems. Recent publications highlight collaborations in rootstock effects , compost applications , and fermentation chemistry . Peck's career has included work in California, Washington, New York, and Virginia, with training spanning horticulture, plant physiology, soil science, and agricultural economics.
Zechuan Lin is a Lecturer at the Department of Neurology , Yale School of Medicine, and a member of the Adams Center for Parkinson's Disease Research . He previously held a postdoctoral research fellowship at Harvard Medical School/Brigham and Women's Hospital in 2023 and earned his PhD from Peking University, College of Life Sciences in 2019. His research bridges computational biology , genomics , and plant genetics , focusing on genetic improvement in crops like rice and maize. Key methodologies include heterosis analysis , transcriptomic profiling , and QTL mapping to dissect agronomic traits and environmental adaptation. Lin's publications highlight advancements in hybrid rice breeding , genome-wide selection , and computational tools for allelic imbalance and daylength-sensing models. His work integrates bioinformatics and genetic networks to address both fundamental and applied biological questions. He is affiliated with Scherzer's Lab , which employs interdisciplinary approaches to neurogenomics and personalized medicine for neurological disorders like Parkinson's disease. His contributions to big data analysis and cross-species genetic studies reflect a unique intersection of plant and neurogenomics.
Prof. Dr. Ralf Merz serves as Head of the Department of Catchment Hydrology at the Helmholtz Centre for Environmental Research (UFZ) and holds a Full Professorship in Catchment Hydrology at Martin-Luther University Halle-Wittenberg since 2011. His career bridges hydrological modeling, flood risk assessment, and water quality analysis across diverse climates from Central Asia to Europe. MSc in Civil Engineering (Technical University of Karlsruhe, 1997) PhD in Hydrology (Vienna University of Technology, 2002) Habilitation in Hydrology (Vienna University of Technology, 2009) Research Interests span comparative hydrology, flood generation mechanisms, climate change impacts on water resources, and nitrate dynamics in river systems. His work emphasizes process-based understanding of runoff events and regional flood modeling through innovative approaches like the PHEV distribution framework. Scientific Contributions include over 100 publications (2003-2025) on: Flood frequency analysis in changing climates Groundwater recharge in arid regions Hydrochemical response to droughts Remote sensing applications for groundwater studies Multi-response calibration of hydrological models Key projects involve MOSES observatory development, TRACER research school, and Pamir Mountains glaciological studies. Recognitions : APART research grant (Austrian Academy of Sciences, 2006) Leadership extends to directing the Catchment Hydrology department and participating in European hydrological networks like the Bode Hydrological Observatory and TERENO infrastructure. His methodological advancements include flood time-scale analysis and event runoff coefficient regionalization.
Joséphine Gantois is an Assistant Professor in Human Dimensions of Biodiversity Conservation at the University of British Columbia, jointly appointed in the Institute for Resources, Environment and Sustainability (IRES) and the Food and Resource Economics Program within the Faculty of Land and Food Systems. Her work bridges economics, ecology, and data science to address ecological footprints in agricultural and natural landscapes. She holds a Ph.D. in Sustainable Development from Columbia University, an M.P.A. in International Development from the London School of Economics, and advanced degrees in economics and the sciences from École Polytechnique. Research Focus: Dr. Gantois investigates practical solutions for reconciling land use incentives with conservation goals, particularly in agricultural areas. Her research emphasizes causal inference methods, integrating remote sensing, machine learning, and qualitative tools like interviews. Key areas include biodiversity monitoring, policy impact assessment, and ecosystem function analysis. She has explored habitat restoration in Ontario grain farms during her postdoctoral work under Dr. Claire Kremen at UBC. Teaching & Engagement: She teaches in the Master of Food and Resource Economics (MFRE) program, focusing on interdisciplinary approaches to sustainability challenges. Her work highlights the intersection of human behavior, policy design, and ecological outcomes, aiming to inform actionable conservation strategies.
Christopher John O'Donnell is a distinguished Professor at the School of Economics, University of Queensland, Australia, where he holds a dual affiliation (50% each) with both the main School of Economics and the Centre for Efficiency and Productivity Analysis (CEPA). His research primarily focuses on efficiency and productivity analysis across various sectors including agriculture, fisheries, public services, and healthcare. As a leading scholar in his field, he has published extensively in top-tier economics and operations research journals and is recognized as being among the top 5% of authors globally according to multiple citation metrics. O'Donnell's research interests span several interconnected domains: efficiency analysis, productivity measurement, agricultural economics, econometrics, state-contingent production frontiers, and metafrontier analysis. His work often bridges theoretical methodology with practical applications, particularly in estimating efficiency and productivity changes under various constraints and uncertainties. He has developed innovative approaches for measuring productivity in public service providers, agricultural sectors, and healthcare institutions, with particular attention to how weather, climate change, and demand uncertainty affect performance metrics. His research output demonstrates consistent productivity, with publications spanning from the 1990s to the present, including significant contributions in the last five years. O'Donnell frequently collaborates with researchers internationally, particularly with scholars from Australia, Europe, and Asia, reflecting the global relevance of his work. His publications appear in leading journals such as the American Journal of Agricultural Economics, Journal of Productivity Analysis, European Journal of Operational Research, and Agricultural and Applied Economics journals. Ranked among top 5% authors by citation metrics (Number of Citations) Ranked among top 5% authors by citation metrics (Number of Citations, Discounted by Citation Age) Ranked among top 5% authors by citation metrics (Number of Citations, Weighted by Number of Authors) Ranked among top 5% authors by citation metrics (Number of Citations, Weighted by Number of Authors, Discounted by Citation Age) Ranked among top 5% authors by citation metrics (Euclidian citation score) O'Donnell has supervised numerous graduate students, as evidenced by his 'Record of graduates' noted in his RePEc profile. His research has been supported by various institutions, particularly focusing on agricultural productivity, public sector efficiency, and resource economics. He has contributed significantly to methodological developments in productivity measurement, including nonparametric approaches and metafrontier frameworks that allow for cross-technology comparisons. As a core member of the Centre for Efficiency and Productivity Analysis (CEPA) at the University of Queensland, O'Donnell contributes to one of the world's leading research centers in efficiency and productivity analysis. His work has practical applications for policymakers in agriculture, fisheries management, healthcare, and public service delivery, helping organizations measure and improve their performance in increasingly complex economic environments.
Jule Thober is a Scientific Manager at the Helmholtz Centre for Environmental Research - UFZ , leading Topic 5 "Landscapes of the Future" in the Helmholtz Program and managing the Integration Platform "Robust Pictures of the Future". She contributes to cross-disciplinary research in Smart Models / Monitoring and Computational Hydrosystems , focusing on agent-based models, sustainable land management, and climate risk analysis. Roles : Scientific Manager (2022–), Postdoc (2017–2021), PhD Student (2013–2016) Projects : Copernicus Contract Ulysses 2, LandYOUs Game Development Research Interests center on socio-environmental systems, integrating agent-based models with ecological economics. Her work explores decision-making under climate uncertainty, land use policy, and resilience of pastoral systems through computational methods. Publication Trends (15 most recent) span ecological complexity, environmental informatics, and computational hydrosystems. Key themes include agent-based land use models , climate risk mitigation , and participatory decision support tools . Collaborations involve UFZ departments, international institutions, and interdisciplinary teams in Germany and abroad. She contributes to Helmholtz POF IV programs and EU-funded initiatives like 4DHydro.
Upaka Rathnayake is a Professor of Civil Engineering and Principal Investigator at the Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE) research unit at Atlantic Technological University Sligo, Ireland. He has held academic and research roles globally, including in Sri Lanka, Japan, the UK, New Zealand, Australia, and Fiji. His research focuses on water resources management, hydrological modeling, climate analysis, and AI-driven solutions for environmental challenges. He holds a PhD from the University of Strathclyde and advanced certifications from Hokkaido University. Education: PhD in Optimal Management of Urban Sewer Systems (University of Strathclyde, 2013) Professional Memberships: Institution of Engineers Sri Lanka, Engineers New Zealand, International Association of Hydrological Sciences Research interests include: Hydrological modeling and climate change adaptation Multi-objective optimization and soft computing techniques Explainable AI applications in environmental systems Remote sensing and GIS for water resource management Recent articles highlight AI-driven solutions for air quality prediction, soil nutrient analysis, and flood risk assessment. Awards include the 2023 Presidential Award for Scientific Publications and multiple university excellence awards. He actively advises PhD students on projects like urban water systems optimization and climatic trends analysis. Rathnayake is an editorial board member of journals like Scientific Reports and PLoS ONE , contributing to peer review and policy-oriented research. His work bridges data-driven methods with traditional hydrological practices to address global environmental challenges.
Dr. Imad El Haddad serves as Group Head of the Molecular Cluster and Particle Processes group at the Laboratory of Atmospheric Chemistry (LAC), part of the Center for Energy and Environmental Sciences at Paul Scherrer Institute (PSI), Switzerland, since 2018. Previously, he held positions as Tenured Scientist and Deputy Head (2018-2019), Senior Scientist in the Smog Chamber group (2015-2018), and Postdoctoral Fellow (2011-2015) at PSI. His research aims to quantify how anthropogenic emissions alter atmospheric pollutant composition and impact Earth's climate and public health through molecular-level analysis using advanced mass spectrometry techniques. His academic background includes: Ph.D. in Atmospheric Chemistry, University of Provence, Marseille (2007-2011) Master's in Environmental Sciences (with distinction, rank 1/9), University of Provence (2006-2007) Master's in General Chemistry (with distinction, rank 1/10), Saint-Joseph University of Beirut (2005-2006) Bachelor of Science in Chemistry (with distinction, rank 1/14), Saint-Joseph University of Beirut (2002-2005) El Haddad's work centers on molecular fingerprinting of atmospheric aerosols , utilizing mass spectrometry (GC/MS, HPLC/APCI-MS2, HPLC/ESI-MS2) to identify primary and secondary molecular markers. He conducts smog chamber experiments to characterize emissions from wood burning, traffic, and cooking processes, determining secondary organic aerosol potential and oxidation state evolution. His group also studies in-cloud aqueous-phase aging and collaborates with global modelers to link aerosol composition to climate forcing and health outcomes like oxidative stress. Recent publications (2025-2024) reveal three dominant trends: (1) rigorous molecular-scale analysis of secondary aerosol formation under varying humidity/temperature, (2) source apportionment breakthroughs in diverse regions (India, Europe, Arctic) using 14C and AMS data, and (3) quantification of health-relevant aerosol properties such as oxidative potential through DTT assays. High-resolution mass spectrometry is a consistent methodological thread across these studies. His scientific awards include: MENRT research fellowship from French ministry of research (2007-2010) Excellence Scholarship (top 1% student, University of Saint Joseph, 2005) Distinction Prize (best student, University of Saint Joseph, 2005) As Group Head, El Haddad oversees the Molecular Cluster and Particle Processes group's research direction and mentorship of junior scientists. While specific grant details are absent from the text, his leadership in multi-institutional publications (e.g., CERN CLOUD, iCUPE) implies active grant management and international collaboration. The group's work bridges laboratory simulations, field deployments, and health/climate modeling to address air pollution complexities. The Molecular Cluster and Particle Processes group develops cutting-edge online/offline mass spectrometers for 1 Hz-resolution atmospheric analysis. They deploy instruments in laboratory smog chamber experiments and global field studies, focusing on molecular marker identification, emission source characterization, and aging process quantification. Collaborations with biochemists and climate modelers extend their impact beyond pure aerosol physics into health risk assessment and policy-relevant climate science.
Professor Ibrahim Khalil is a faculty member in the School of Computing Technologies at RMIT University, Melbourne, Australia. He holds a PhD in Computer Science from the University of Bern (2003) and has extensive industry experience in Silicon Valley focusing on secure network protocols. His research spans Security, Privacy, Federated Learning, Blockchain, Quantum Computing, and Distributed Systems. He leads high-impact projects funded by ARC grants (DP250100582, DP220100215, etc.) and international initiatives like the EU’s SELFY project. His work addresses challenges in secure AI data analytics, privacy-preserving systems, and critical infrastructure protection. Khalil supervises PhD/Masters students on topics ranging from federated learning security to quantum-enhanced machine learning. Education: PhD in Computer Science (University of Bern, 2003); prior roles at EPFL, Osaka University, and industry tech hubs. Research Interests: Privacy-Preserving Technologies Blockchain Applications in Healthcare and Supply Chains Quantum Computing for Machine Learning Secure Edge Computing and Federated Learning IoT Security and Critical Infrastructure Protection Grants & Collaborations: Over 10 major grants since 2017, including ARC Discovery/Linkage Projects and international partnerships (QNRF, EU). Notable projects include Privacy-Aware Digital Twins for Critical Infrastructure and Federated Learning frameworks for GenAI models. Advising & Labs: Active supervisor of 25+ research projects since 2013, focusing on anomaly detection, secure data analytics, and blockchain-based systems. Collaborates with industry partners on defense and healthcare tech.
Dr. Mohsen Yoosefzadeh Najafabadi is an Assistant Professor in the Department of Plant Agriculture at the University of Guelph, Ontario Agricultural College. He holds a PhD in Plant Breeding from the University of Guelph (2022), following M.Sc. and B.Sc. degrees from the University of Tehran. His research focuses on dry bean breeding, computational biology, and integrating omics technologies to enhance crop resilience and productivity. Key areas include developing stress-tolerant dry bean varieties, leveraging remote sensing for trait prediction, and optimizing genomic selection methods. He leads the Dry Bean Breeding & Computational Biology Program and has contributed to over 30 peer-reviewed publications since 2017. Education : PhD, Plant Breeding, University of Guelph (2022) M.Sc., University of Tehran B.Sc., University of Tehran Research interests emphasize computational tools development (e.g., AllInOne preprocessing framework), omics-based selection strategies, and non-Mendelian heredity mechanisms. His lab combines machine learning with field phenotyping to address agricultural challenges such as disease resistance and climate adaptation. Collaborative projects include soybean cold stress analysis and cannabinoid profile prediction in cannabis. Publications span genomic approaches to crop improvement, remote sensing applications, and transcriptomic studies. He teaches courses in plant breeding methodologies and actively engages in technology transfer initiatives. Lab activities include developing high-yielding dry bean cultivars resistant to biotic/abiotic stresses and advancing data-driven pipelines for crop breeding. Future work aims to synergize AI with multi-omics data to enhance crop resilience in diverse environments.
Tri Setiyono is an Assistant Professor in the School of Plant, Environmental, and Soil Sciences at Louisiana State University (LSU). Previously, he served as a Scientist at the Sustainable Impact Platform of the International Rice Research Institute (IRRI), Los Baños, Philippines (2011–2021), and as a Postdoctoral Research Associate in the Department of Agronomy and Horticulture at the University of Nebraska-Lincoln (2007–2011). He is affiliated with the LSU AgCenter and the LSU College of Agriculture, contributing to research and extension services in precision agriculture and crop resilience. Education: PhD in Agronomy, University of Nebraska-Lincoln (2007) MS in Agronomy, Kansas State University (2003) BS in Agronomy, Bogor Agricultural University (1998) Research interests focus on precision agriculture, remote sensing, and AI applications to enhance crop production resilience against climate change. He specializes in GIS for agronomic research, crop growth models (e.g., ORYZA, SoySim), and integrating SAR and MODIS satellite data for yield estimation. His work emphasizes sustainable practices and technology-driven solutions for row crops in dynamic environments. Publications highlight advancements in rice monitoring systems, soybean and maize modeling, and decision tools for nutrient management. These contributions bridge technological innovation with practical agricultural challenges in Asia and the US. Scientific awards: None explicitly mentioned in the text. Advising and grants: No formal advisees/students are listed. Professional experience includes roles at IRRI and UNL, suggesting involvement in grant-funded research projects, but specific grant details are not provided. Labs/Teams: Associated with Louisiana State University AgCenter research stations and collaborative projects like the RIICE initiative, but no specific lab names or teams are detailed in the text.
Professor Jukka Konttinen serves as Professor of Chemistry of Biorefining at Tampere University within the Faculty of Engineering and Natural Sciences and Department of Materials Science and Environmental Engineering. Previously, he held professorships at the University of Jyväskylä (2009-2014) and research positions at Åbo Akademi University and industry firms including Carbona Inc. His expertise spans thermochemical biomass conversion and sustainable energy systems. Education: D. Sc. (Chemical Engineering), Åbo Akademi University, 1998 Research Interests: Konttinen specializes in biorefining via thermochemical conversion processes including gasification, pyrolysis, hydrothermal liquefaction, and combustion. His work encompasses hybrid energy systems integrating solid/liquid biofuels, biogas, and solar power at distributed scales. He develops chemical process engineering solutions through modeling, simulation, and experimental validation from laboratory to commercial implementation. Publication Trends: His recent publications (2013-2024) demonstrate concentrated expertise in biomass conversion technologies, emphasizing process optimization for lignocellulosic feedstocks, syngas quality enhancement, and techno-economic-environmental assessments. Key themes include pretreatment methods, gasification kinetics, and integration of thermochemical processes with circular economy principles across agricultural and industrial waste streams. Scientific Awards: Supervisor of Best Academic Dissertation (Tiina Keipi) by Tampere University (2019) Supervisor of Best Academic Dissertation (Tiina Keipi) by Academic Engineers and Architects in Finland TEK (2019) Advising and Grants: Konttinen has supervised 13 PhD students (10 completed, 3 ongoing), 70 Master's theses, and 25 Bachelor's theses. His funding portfolio includes €250k as PI for Bio4all (Business Finland, 2024), €861k as WP leader for BL2F (EU Horizon, 2019-2024), plus €425k in confidential contracts (2014-2024) and €1.5M in prior grants. Labs and Teams: He leads the Bio and Circular Economy research unit and previously directed the Laboratory of Chemistry and Bioengineering (2017-2018). Current projects include EU Horizon's BL2F and Business Finland's Bio4all initiatives focused on climate-neutral energy systems and biorefinery commercialization.
Dr. Mario Tenuta is a Senior Industrial Research Chair in 4R Nutrient Management and Professor of Soil Ecology at the University of Manitoba's Faculty of Agricultural and Food Sciences. His research focuses on soil ecology, nematology, and mitigating greenhouse gas emissions from agricultural systems. He leads the Applied Soil Ecology Lab, conducting impactful studies on nutrient management, soil health, and crop-nematode interactions. Dr. Tenuta holds a PhD from the University of Western Ontario and has held the Canada Research Chair in Applied Soil Ecology (2006–2017). **Education**: Post-Doctoral Fellowship (Nematology), UC Davis, USA PhD (Plant Science), University of Western Ontario, Canada MSc (Soil Science), University of Guelph, Canada BSc (Botany & Physical Geography), University of Toronto, Canada **Research Interests**: His work addresses soil ecology challenges such as nitrogen cycling dynamics, cover crop effects on emissions, and nematode management in crops like soybean and potato. Key projects include 4R nutrient management practices, fall nitrification inhibition, and surveying pest nematodes across Canadian prairies. **Key Publications**: Recent work explores green ammonia applications, nitrous oxide emission reduction via 4R practices, and nematode distribution in Manitoba. Over 200 peer-reviewed articles highlight his contributions to sustainable agriculture and climate science. **Awards**: - Senior Industrial Research Chair (University of Manitoba) - Canada Research Chair (2006–2017) - Pioneering research recognized globally in soil science and environmental policy. **Labs & Teams**: Directs the Applied Soil Ecology Lab, collaborating with industry partners on projects like the NICCEE Living Lab Green Ammonia initiative. His team develops diagnostic tools for crop diseases and integrates field surveys with molecular analyses.
