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Burak ZincirView profile

Associate Professor

• Alternative Fuels
• Maritime Transportation Engineering
• Greenhouse Gas Emissions
• +4 more

Burak Zincir is an Associate Professor in the Department of Marine Engineering at Istanbul Technical University. His research focuses on sustainable alternative fuels, decarbonization strategies in maritime transportation, and environmental impact analysis of marine technologies. He has led projects such as the 'Sustainable Biofuel Assessment Model for Maritime Transportation' and 'Determination and Analysis of Risk Factors in Ammonia-Fueled Ship Fuel Supply System.' His work emphasizes alternative fuels like hydrogen, ammonia, and biofuels, alongside regulatory compliance with international standards (e.g., IMO criteria). He has received the 'Most Successful Doctoral Thesis Award 2019' in 2020, recognizing his contributions to maritime decarbonization research. Recent publications explore CCS-SCR integration, hydrogen fuel cells for cargo ships, and lifecycle emissions of biofuels. His projects often involve case studies analyzing fuel viability, policy implications, and energy efficiency improvements in maritime systems. Zincir's research collaborations span environmental engineering, renewable energy integration, and shipping policy analysis. He actively contributes to global efforts to reduce greenhouse gas emissions through innovative fuel solutions and sustainable maritime practices.

Doreen BoydView profile

Professor

• Remote Sensing
• Geospatial Data Science
• Environmental Monitoring
• +3 more

Professor Doreen Boyd is the Professor of Earth Observation and Associate Director of the Rights Lab's Measurement and Geographies Programme at the University of Nottingham. She holds an academic position within the School of Geography, Faculty of Social Sciences. Her career includes roles at Manchester, Kingston, and Bournemouth Universities, as well as Senior Research Leader at Ordnance Survey. She has worked part-time for over half her career. Boyd has a BSc (Hons) in Geography from the University of Wales, Swansea (1992), a PhD from the University of Southampton (1996), and a PGCert in Teaching and Learning in Higher Education (2002). Her research focuses on cutting-edge geospatial data science, particularly remote sensing systems (terrestrial, aerial, and satellite-based), applied to UN Sustainable Development Goals. Notable contributions include £15M in research funding (£4M as PI), over 35 completed PhD/MSc students, and discoveries like the world's tallest tropical tree. She serves on editorial boards for journals such as Remote Sensing for Ecology and Conservation and Ecological Informatics . Key Awards: Group on Earth Observations (GEO) EO4SD Award Discovery of the World's Tallest Tropical Tree Her work spans environmental monitoring, conservation, and geospatial innovation. Current initiatives include leading the Rights Lab's measurement program and advancing UAV applications for plant conservation.

• Structural Engineering
• Structural Mechanics
• Progressive Collapse
• +16 more

Valerio De Biagi is an Associate Professor in the Department of Structural, Geotechnical and Building Engineering (DISEG) at the Polytechnic University of Turin, Italy. He is a member of the Interdepartmental Center SISCON (Safety of Infrastructures and Constructions) and serves as Vice Coordinator of the PhD program in Civil and Environmental Engineering. He also acts as the Partnership Agreement Coordinator with STRADA DEI PARCHI, reflecting his strong engagement with industry and infrastructure safety. Research Interests: Structural robustness and progressive collapse Natural hazards (rockfalls, avalanches, debris flows) Structural health monitoring and damage modeling Reliability and risk assessment of civil infrastructure Mechanics of granular materials (snow) His recent research output shows a strong trend toward probabilistic risk assessment, experimental and numerical modeling of impact events, and the development of resilient structural systems. He frequently applies advanced computational methods, including finite element analysis and generative AI, to simulate extreme loading scenarios and infrastructure response. Scientific Roles: Effective Member, SISCO - Italian Society of Building Science (2019–present) Guest Editor, Applied Sciences (2020–present) Evaluator for Swiss National Science Foundation (MINT 2023, COST 2022) Advising and Grants: He actively supervises multiple PhD students across several cycles and leads numerous funded research projects, including competitive national grants (PRIN), PNRR initiatives, and commercial research contracts with public infrastructure agencies. His projects focus on structural safety assessment, development of monitoring protocols, and risk mitigation strategies for bridges, tunnels, and rockfall-prone areas. Labs and Teams: He leads research teams focused on structural complexity, natural hazard interaction, and granular material mechanics. His work involves experimental campaigns, field surveys, and back-analyses of real-world structural failures.

• Landscape Architecture
• Urban Green Infrastructure
• Renewable Energy Integration
• +4 more

Dagmar Grimm-Pretner is an Assistant Professor at the Institute of Landscape Architecture , part of the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna . Her work bridges landscape architecture with sustainable urban design, focusing on green infrastructure, renewable energy integration, and rainwater management. Doctoral degree from University of Agricultural Sciences, Vienna (1997) Recipient of the BOKU Teaching Award 2015 Over 25 international lectures, including keynotes at conferences in Canada, Indonesia, Italy, and Russia Her research explores innovative strategies for integrating photovoltaic systems into cultural landscapes and enhancing urban resilience through green infrastructure. She emphasizes gender-sensitive design and the socio-ecological impacts of public space development. Dr. Grimm-Pretner has contributed to high-profile projects like the Syn[En]ergy PV initiative and has published extensively on sustainable urban planning. Her work has been recognized in Austria and internationally through invitations to speak at major conferences. Scientific Awards BOKU Teaching Award 2015 - 1.Platz Community Services Advisor to the Austrian Society for Landscape Planning and Architecture (ÖGLA) Member of the Internationalization Committee at BOKU Active in cross-border research cooperation with Southeastern Europe

• Machine Learning
• Data Mining
• Big Data
• +4 more

Jesse Davis is a Professor at the Department of Computer Science , KU Leuven , actively contributing to the Machine Learning group and the Sports Analytics Lab . He is part of the Faculty of Engineering Science and the Leuven.AI Institute . Ph.D. in Computer Sciences from University of Wisconsin-Madison (2007) M.S. in Computer Sciences from University of Wisconsin-Madison (2005) B.A. in Computer Science from Williams College (2002) His research focuses on machine learning, data mining, big data analytics, and sports analytics, with significant work in: Transfer learning and Markov logic networks Anomaly detection and semi-supervised learning Medical NLP and biomechanical data analysis Soccer performance metrics and tactical analysis His recent work explores spatio-temporal data analysis in sports and explainable AI for medical applications, with collaborations spanning finance, healthcare, and semiconductor manufacturing. Notable scientific awards include: Best Paper Award (Applied Data Science Track) at KDD 2019 Best Technical Paper Award at Intelligence Analysis Workshop He advises numerous PhD and Master's students in areas like: Football analytics Tree ensemble compression Medical question-answering systems Biomechanical load prediction His lab develops tools such as: GSSL for Markov network structure learning TODTLER for transfer learning Alchemy system for Markov logic networks

Ingolf KühnView profile

Professor

• Macroecology
• Plant Invasion Ecology
• Functional Traits
• +12 more

Ingolf Kühn is a Professor of Macroecology at Martin-Luther University Halle-Wittenberg and Head of the Department of Community Ecology at the Helmholtz Centre for Environmental Research (UFZ) in Halle, Germany. He is also a member of the German Centre for Integrative Biodiversity Research (iDiv) and holds a fellowship at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). His research is centered on plant invasions, functional traits, and biodiversity responses to global change, with a strong methodological focus on spatial and phylogenetic modeling. His research interests span macroecology , plant invasion dynamics , urban and alpine flora , and data-driven ecological modeling . He has led major projects such as Biodiversity Meets Data (BMD) , eLTER PLUS , and AlienScenarios , and contributed to EU frameworks like EuropaBON and DAISIE . He is deeply involved in developing and managing large databases, including BiolFlor and the TRY Plant Trait Database . His recent publications focus on functional traits of invasive plants, biodiversity digital twins, and climate-driven shifts in species distributions. They reflect a strong trend toward integrating big data, machine learning, and macroecological theory to predict ecological change. Scientific Awards: Highly Cited Researcher (2014–2022) Fellow of the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) He serves as Editor-in-Chief of NeoBiota and Associate Editor of Journal of Vegetation Science . His advising spans PhD students and postdocs in the GLIMPSE cohort and iDiv projects. He leads multiple long-term monitoring initiatives, including alpine glacier forefield studies in the Dachstein and Berchtesgaden regions. He is affiliated with key research teams and platforms such as: Macroecology & Vegetation Science Working Group iDiv Science Strategy Board Task Forces: sTWIST, sUMMITDiv, sCoMuCra, sREGPOOL eLTER Research Infrastructure Biodiversity Digital Twin initiative

• Geospatial Ecology
• Forest Ecosystems
• Amazon Rainforest
• +7 more

Jose David Urquiza-Munoz is a Researcher at the Max Planck Institute for Biogeochemistry , affiliated with the Department of Biogeochemical Processes (BGP) under the Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC) . His work focuses on geospatial ecology and biogeochemical cycles, particularly analyzing forest ecosystem responses to large-scale disturbances in the Amazon. Education PhD Researcher in Geography (ongoing), IMPRS-gBGC, Friedrich Schiller University Jena MSc in Environmental Management, Universidad Nacional de la Amazonia Peruana (2015–2017) Specialist in Remote Sensing for Forest Resources, Rakuno Gakuen University (2015) BSc in Tropical Rainforest Ecology, Universidad Nacional de la Amazonia Peruana (2005–2009) Urquiza-Munoz investigates space-time variations in forest ecosystems, with a focus on windthrow dynamics and greenhouse gas emissions in tropical peatlands. His projects include the Windthrows Inventory Data Base (WInD) , analyzing large-scale forest disturbances and recovery processes in the Amazon. His research spans biogeochemical cycling , convective storm impacts , and remote sensing applications . He has contributed to studies on methane emissions in Amazonian wetlands and the interplay between rainfall, soil properties, and windthrow vulnerability. Peer Review Activities International Journal of Biometeorology Forest Ecology and Management Folia Amazonica Conference Presentations AGU 2020: Forest structure recovery from windthrows AGU 2020: Methane production in tropical peatlands AGU 2019: Geospatial forest patterns in wind-affected Amazon regions AGU 2016: Landscape-scale tree mortality from wind disturbance Urquiza-Munoz collaborates with the Department of Biogeochemical Processes (BGP) at the Max Planck Institute for Biogeochemistry and is part of the IMPRS-gBGC training program. His work integrates field data, remote sensing, and modeling to understand climate-ecosystem interactions in the Amazon.

• Computational Optimization
• Global Optimization
• Mixed-Integer Nonlinear Programming
• +9 more

Dr. Ruth Misener is a Professor in the Department of Computing at Imperial College London and holds the BASF/RAEng Research Chair in Data-Driven Optimization (2022-27). Her research focuses on computational optimization, including global optimization of mixed-integer nonlinear programs, optimization under uncertainty, and integration with machine learning. She leads the Computational Optimization Group, which develops open-source tools like GALINI, and collaborates with industry partners such as Royal Mail for logistics optimization. Her research interests span optimization challenges in engineering, bioprocess design, and healthcare, including bioreactor optimization and disease trajectory modeling for leukemia. She has been awarded the Royal Academy of Engineering Research Fellowship, supporting her work on hybrid computational/experimental platforms for biomedical applications. Recent projects include scheduling optimization under uncertainty, Bayesian methods for experimental design, and robust optimization for heat recovery networks. Her work emphasizes explainable optimization and safety-critical decision-making, with applications in energy systems, pharmaceuticals, and manufacturing. Ruth’s contributions include over 50 publications, with a focus on algorithm development and industrial impact. She actively participates in conferences and chairs workshops on optimization, such as the Mixed Integer Programming Workshop and the British-French-German Conference on Optimization.

Ellen VitercikView profile

Assistant Professor

• Machine Learning
• Algorithm Design
• Discrete Optimization
• +3 more

Ellen Vitercik is an Assistant Professor at Stanford University with joint appointments in the Management Science and Engineering and Computer Science departments. She holds a PhD from Carnegie Mellon University, advised by Nina Balcan and Tuomas Sandholm, and was a Miller Fellow at UC Berkeley under Michael Jordan and Jennifer Chayes. Her research focuses on machine learning, algorithm design, discrete optimization, and the intersection of economics and computation. She explores how machine learning can enhance discrete optimization and algorithmic reasoning, with applications to fairness, efficiency, and decision-making systems. Her work has garnered prestigious awards including the Schmidt Sciences AI2050 Early Career Fellowship and the NSF CAREER Award. Her doctoral thesis received multiple accolades, including the SIGecom Doctoral Dissertation Award and the CMU School of Computer Science Distinguished Dissertation Award. Notable research contributions include developing neural algorithmic reasoning frameworks, evaluating LLMs' structural reasoning abilities, and advancing techniques for optimization formulation equivalence checking. Her academic contributions span algorithm design, learning-augmented optimization, and mechanism design. She has pioneered methods for offline tuning in online decision-making systems and explored data-driven approaches for algorithm selection and configuration. Her research often bridges theoretical foundations with practical applications, addressing challenges in marketing, resource allocation, and social network dynamics. Ellen's interdisciplinary work integrates computer science, economics, and operations research, with a focus on creating scalable, fair, and efficient systems. Her current projects include investigating cold-start algorithm configuration using LLMs, optimizing decision-making under uncertainty, and designing robust systems resilient to data limitations.

• Cybersecurity
• Identity Management
• Network Protocols
• +3 more

Piotr Pacyna is a researcher at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology. He is actively engaged in academic research, with a focus on cybersecurity, identity management, and network protocols. His research interests include: Cybersecurity Identity Management Systems Network Protocols Virtualization in Future Internet Wireless Networks Group Key Distribution Piotr's recent publications highlight his work in blockchain-based identity discovery, self-healing cryptographic protocols, and network security frameworks. His contributions span both theoretical and practical implementations in cybersecurity and network systems.

• Hydrology
• Catchment Hydrology
• Ecohydrology
• +6 more

Josie Geris is a Reader in Hydrology at the School of Geosciences , University of Aberdeen, holding a 0.8 FTE position since 2022. Her work bridges monitoring, modeling, and environmental tracer analysis to understand catchment processes under environmental change. Education : PhD in Civil Engineering and Geosciences (2012) from Newcastle University; MSc and BSc in EcoHydrology and Earth Sciences from VU University Amsterdam. Research Interests center on: • Vegetation-soil-water linkages in water storage and transmission • Nature-based solutions for flood and drought management • Multiscale catchment hydrology and land use impacts • Stable isotope tracing and water resource modeling. Publications highlight applications in agroforestry, river woodlands, and data-limited environments across Scotland, Europe, and tropical regions. Recent grants focus on nature-based water supply management , FARM TREE integration in agriculture, and Scottish water resilience under climate change. Scientific Grants (2016–2024): £100K (PI) - Surface water-groundwater connections in nature-based solutions £505K (PI) - FARM TREE: Balancing farm and landscape demands £220K (Co-I) - UK-China Critical Zone science tools £250K (Co-I) - Limpopo basin drought-flood governance She supervises PhD students in hydrological modeling, isotopic studies, and agroforestry impacts, while co-supervising interdisciplinary projects with the School of Biological Sciences. Her collaborative work involves institutions like the Northern Rivers Institute and the Centre of Expertise for Waters (CREW) .

Christopher SoulsbyView profile

Professor

• Hydrology
• Biogeochemistry
• Groundwater-Surface Water Interactions
• +3 more

Christopher Soulsby is a Professor of Hydrology at the School of Geosciences, University of Aberdeen. He serves as Chair in Hydrology and leads research initiatives focused on catchment hydrology, groundwater-surface water interactions, and ecohydrology of salmonid rivers. As a Fellow of the American Geophysical Union and holder of a DSc from the University of Aberdeen, his work integrates isotopic tracers and modeling to address sustainable water management. Education: DSc (1999) and PhD (1987-1991) in Hydrology, University of Wales, Swansea Research Interests: His work examines runoff processes, streamflow generation, and catchment biogeochemistry using isotopic and geochemical tracers. Key areas include groundwater-surface water interactions in upland environments, hyporheic zone hydroecology, and hydrological management of wetlands in Scotland and Africa. Recent Article Trends: Current publications focus on drought impacts on water quality, ecohydrology of urban green spaces, and coupled modeling of water-carbon dynamics in agroforestry systems. Studies employ remote sensing, isotopic tracers, and environmental DNA to analyze hydrological connectivity and climate stress. Scientific Awards: Fellow, American Geophysical Union DSc, University of Aberdeen Key Collaborations: Works with institutions like Macaulay Institute, Freshwater Laboratory (Pitlochry), British Geological Survey, and Centre for Ecology and Hydrology. Leads projects in Scottish uplands (Feshie, Feugh, Girnock catchments) and African wetlands (Kasanka National Park, Zambia).

• Automata Theory
• Formal Methods
• Tree Automata
• +4 more

Christof Löding is an Adjunct Professor at the Department of Logic and Theory of Discrete Systems (Computer Science 7) at RWTH Aachen University. His research focuses on automata theory, formal verification, and logical foundations of computer science, with significant contributions to Büchi automata, tree automata, and stochastic games. Academic affiliation: RWTH Aachen University, Germany Research areas: Automata theory, Formal methods, Game theory, Logic in computer science Contact: loeding@informatik.rwth-aachen.de His recent work spans deterministic parity automata construction, finite-valued transducers, and algorithmic solutions for infinite games. Publications emphasize theoretical foundations and practical applications in program verification and XML processing. Articles analyze automata learning, uniformization problems, and lookahead degrees in infinite games, showing interconnections between automata theory and formal verification.

Nathanaël FijalkowView profile

Researcher

• Games
• Machine Learning
• Automata Theory
• +9 more

Nathanaël Fijalkow is a Researcher at CNRS in LaBRI (Bordeaux) and a Research Fellow at The Alan Turing Institute in London. His primary research fields include games , machine learning , automata theory , and dynamical systems , with a focus on synthesizing programs from logical specifications and probabilistic models. Research Interests span program synthesis (programming by example), controller synthesis (temporal logic specifications), games on graphs (parity/mean payoff games), probabilistic automata (bounded ambiguity), and invariants for linear dynamical systems. He bridges formal methods with machine learning through projects like DeepSynth . Scientific Contributions include: Undecidability results for probabilistic automata Advances in parity game algorithms (quasi-polynomial lower bounds) Foundations of probabilistic modal logics Efficient synthesis techniques using SMT solvers and distributional learning Supervision involves guiding postdocs and PhD students such as Guillaume Lagarde, Antonio Casares, and Pierre Ohlmann. He has secured grants like the Momentum DeepSynth project (2019-2021) , aiming to merge formal methods with ML for program synthesis.

• Machine Learning
• Case-Based Reasoning
• Natural Language Processing
• +3 more

Nirmalie Wiratunga is a Professor in Intelligent Systems at the School of Computing , Robert Gordon University, and serves as the Associate Dean for Research . She is also an Adjunct Professor at the Norwegian University of Science and Technology (IDUN program). Her academic excellence spans over two decades in Artificial Intelligence and Machine Learning , with a focus on Explainable AI (XAI) , Case-Based Reasoning (CBR) , and Natural Language Processing (NLP) . Her research explores innovative methodologies for knowledge-rich representations to automate decision-making through CBR for Retrieval-Augmented Q&A systems and human-centered AI platforms . She co-founded Attendr.app , a spinout for student and conference attendance tracking, and leads the Artificial Intelligence & Reasoning Research Group at RGU. Recent publications (2024–2025) highlight her work on LLM hallucination detection , counterfactual explanations in finance , cross-lingual biomedical review automation , and multi-query resolution in legal domains . Themes span AI explainability , NLP , CBR , and domain-specific knowledge integration across healthcare, law, and education. Her leadership extends to organizing international workshops on XAI , digital health , and Deep Learning , and co-chairing the ICCBR 2021 and 2022 conferences. She actively contributes to program committees for ECCBR , ECML/PKDD , and IJCAI .