جستجوی استاد راهنمای دانشگاهی

Sascha Struwe serves as a Postdoctoral Researcher at Aalborg University Business School within the Faculty of Social Sciences and Humanities, actively contributing to the International Business Research Group. Based at Fibigerstræde 11 in Aalborg Øst, Denmark, Struwe operates at the intersection of service innovation theory and business practice with international focus. Research expertise centers on service innovation , value co-creation , and digital servitization , particularly examining B2B contexts and open banking ecosystems. Work consistently explores institutional influences through German-Chinese case studies, addressing how cultural and regulatory frameworks shape service design. Recent trajectories reveal evolution from foundational service design challenges (2019-2021) toward digital transformation implications (2022-2023), with emphasis on value co-destruction mechanisms in financial ecosystems. Struwe led the PhD project Innovating the Invisible and Intangible: Value Creation in B2B service (2018-2021) investigating co-creation capabilities across industrial sectors. Academic engagement includes conference participation at EIBA and CICALICS events, plus a visiting researcher appointment at Fudan University's Nordic Centre (2019-2020). Current work continues through the International Business Research Group, focusing on digital literacies and service ecosystem resilience.

• Service Innovation
• Service Design
• Value Co-Creation
• +۴ مورد دیگر

Peng Shige is a Professor of 1st class at the School of Mathematics, Shandong University, China. He has held the Distinguished Professor title under the Ministry of Education (Cheung Kong Scholarship) since 1999. His academic journey includes degrees from Shandong University (Physics diploma, 1971-1974), Paris-IX (1985), and Aix-Marseille University (PhD 1986, Habilitation 1992). Research focuses on nonlinear expectations, stochastic calculus, partial differential equations, and financial mathematics. Key contributions include foundational work on backward stochastic differential equations (BSDEs), the g-expectation framework, and the G-expectation theory extending probability axioms to nonlinear settings. These innovations have advanced stochastic control, financial risk modeling, and differential games. Honors include the 2020 Future Science Award, 2011 Princeton Global Scholar, and 2005 Chinese Academy of Sciences Academician status. He delivered a plenary lecture at the 2010 International Congress of Mathematicians. Peng's work integrates theoretical breakthroughs with applied domains like financial engineering. His research has been widely cited (~8k citations) and shaped modern stochastic analysis methodologies.

• Nonlinear expectations and stochastic calculus
• Probability theory
• Nonlinear partial differential equations
• +۵ مورد دیگر

Professor Marek Sanak serves as Full Professor at the Department of Internal Medicine, Jagiellonian University Medical College in Cracow, Poland. He concurrently holds leadership positions as Acting Director of the Department of Forensic Medicine, Head of the Division of Molecular Biology and Clinical Genetics, and Vice-Rector for Research and International Cooperation since 2016. His academic foundation includes: MD from Jagiellonian University Medical College Specialization in Pediatrics and Genetics PhD from Jagiellonian University Research appointments at Harvard University, University of Paris VI, and University of Zurich Professor Sanak's research integrates clinical genetics with molecular immunology, focusing on asthma pathogenesis, lipid mediators of inflammation, and genetic diagnostics. His laboratory employs advanced techniques including deep DNA/RNA sequencing to identify biomarkers and elucidate disease mechanisms. The work bridges fundamental molecular discoveries with clinical applications in respiratory diseases, allergic disorders, and forensic medicine, demonstrating particular expertise in aspirin-exacerbated respiratory disease and epigenetic regulation of inflammatory pathways. Analysis of his recent publications reveals a strategic evolution from classical asthma research toward molecular genetics and viral pathogenesis. His 2017-2021 work increasingly incorporates epigenetic approaches (DNA methylation, microRNA profiling) while expanding into SARS-CoV-2 research during the pandemic. The publications demonstrate interdisciplinary integration across immunology, respiratory medicine, and molecular diagnostics, with consistent focus on translational applications. His distinguished career has been recognized through numerous honors: The Lancet Investigators Award on Asthma (1997) Polish Ministry of Health Individual Prize (1999) Jagiellonian Laurel (2012) Pro Arte Docendi Award (2014/15) Gold Medal for Long Service (2019) Top 2% of world scientists ranking (Elsevier 2022) As Vice-Rector for Research, Professor Sanak has significantly expanded international collaborations with King's College London, University of Southampton, and University of Zurich. His leadership has secured substantial funding for molecular diagnostics and inflammatory disease research while mentoring numerous early-career researchers. He delivers invited lectures globally for organizations including the American Thoracic Society and European Academy of Allergy and Clinical Immunology. Professor Sanak directs integrated research units across the Division of Molecular Biology and Clinical Genetics, Division of Biochemical and Molecular Diagnostics at University Hospital Cracow, and the Department of Forensic Medicine. These teams combine clinical service with basic research to advance genetic diagnostics and understand disease mechanisms, maintaining forensic genetics expertise developed over 20 years of practice.

• Genetics
• Asthma
• Lipid mediators of inflammation
• +۷ مورد دیگر

Zhipeng Liao is a Professor of Economics at the University of California, Los Angeles (UCLA), where he contributes to the Department of Economics. He holds a Ph.D. from Yale University and specializes in econometric theory and applied econometrics. His research focuses on developing statistical methods for evaluating economic models, nonstationary time series analysis, and robust inference in semi/nonparametric frameworks. Professor Liao's work has been published in leading journals such as the Annals of Statistics , Econometrica , and the Review of Economic Studies . He serves on the editorial boards of several prestigious journals, including Econometric Reviews , Econometric Theory , and Journal of Business & Economic Statistics . His research interests span econometric theory, time series analysis, panel data modeling, and nonparametric inference, with applications to financial economics and macroeconomic modeling. His recent publications emphasize methodological advancements in hypothesis testing, model selection, and robust estimation techniques. These include contributions to the analysis of spatially dependent panel data, instrumental variables methods, and the evaluation of macro-finance models. His work bridges theoretical econometrics with practical applications, addressing challenges such as endogeneity, model misspecification, and computational efficiency. Liao’s editorial roles reflect his influence in shaping the direction of econometric research. His research has implications for policy analysis, financial market modeling, and empirical studies requiring rigorous statistical foundations. Despite the breadth of his contributions, no specific awards or grants are explicitly mentioned in the provided text.

• Applied Econometrics
• Econometrics
• Econometric Theory
• +۳ مورد دیگر

Dr. Li Wan is an Associate Professor in Urban Planning and Development at the Department of Land Economy, University of Cambridge, and a Fellow of Gonville and Caius College. He serves as Director for the MPhil in Planning, Growth and Regeneration and is a co-investigator of the Centre for Smart Infrastructure and Construction. Dr. Wan is also a Trustee of the IJURR Foundation and leads a research group focused on understanding urban land and transport development through applied modeling and data analytics. Dr. Wan holds a BArch, MPhil, and PhD from the University of Cambridge. Prior to joining Land Economy, he worked in Architecture and Engineering Departments, giving him a highly interdisciplinary perspective. His research focuses on spatial economic modeling of urban land use and transport systems, with recent interests including strategic planning at city/regional levels, impact studies of flexible working, micromobility, and electric vehicles. Dr. Wan's research group has produced significant work in city digital twins, as evidenced by his 2023 book Digital Twins for Smart Cities: Conceptualisation, challenges and practices . His publications span urban analytics, transport emissions, spatial equilibrium modeling, and economic geography, demonstrating the interdisciplinary nature of his work. Recent research trends show increasing focus on post-pandemic urban dynamics, digital governance, and sustainable mobility solutions. His research group has secured funding from initiatives like AI@Cam for projects examining how local authorities use AI for urban decision-making. Dr. Wan actively supervises PhD and MPhil students, with his group comprising researchers working on diverse urban topics from land-use efficiency to micromobility impacts. As an educator, Dr. Wan teaches courses including Tripos Paper 10 - The Built Environment, PGR01 - Urban and Environmental Planning, PGR02 - Urban and Housing Policy, PGR05 - Place-based Policy, and RM03 – Spatial Analysis and Modelling. His group has presented at major international conferences including CUPUM and ICML, reflecting his active engagement in the academic community.

• Spatial Economic Modelling
• Urban Land Use
• Transport Systems
• +۱۲ مورد دیگر

Hadi Daneshmand is an Assistant Professor of Computer Science at the University of Virginia, specializing in theoretical machine learning. Prior to joining UVA, he completed postdoctoral research at FODSI (jointly hosted by MIT and Boston University), Princeton University, and INRIA Paris following his 2020 PhD in Computer Science from ETH Zurich. Education Ph.D. in Computer Science, ETH Zurich, 2020 His research bridges computational perspectives and neural network theory, focusing on theoretical guarantees for deep learning systems. Key interests include understanding neural network mechanisms through optimization frameworks, foundations of machine learning, and stochastic processes in learning systems. His work reveals how neural networks implement computational primitives like gradient descent and optimal transport through architectural components. Recent publications demonstrate a cohesive trajectory analyzing transformers' computational capabilities, batch normalization's theoretical properties, and optimization dynamics in deep learning. His studies consistently establish formal connections between neural architectures and classical optimization methods, particularly in in-context learning scenarios. Scientific Awards Stanford CPAL Rising Star Award Spotlight award at ICML In-context Learning workshop (2024) Postdoc fellowship of the Foundation of Data Science Institute (FODSI) Early Postdoc Mobility grant from SNSF Best poster award at Max Planck ETH deep learning workshop (2016) Reviewer awards for ICML (2022, 2019) and NeurIPS (2020) Dr. Daneshmand actively mentors graduate students, with advisees including PhD candidates at ETH Zurich who have secured positions at Harvard, Yale, Meta, and NVIDIA. His research is supported by competitive grants including the SNSF Early Postdoc Mobility award and FODSI fellowship. He serves the community as Area Chair for NeurIPS 2023-2024 and ICML 2025, and regularly reviews for top machine learning conferences and journals. He teaches specialized courses including "Neural Networks: A Theory Lab" at UVA, emphasizing experimental-theoretical connections in neural computation through hands-on coding exercises.

• Foundations of Machine Learning
• Understanding neural networks
• Optimization for machine learning
• +۳ مورد دیگر

Pranav Rajpurkar is an Associate Professor at Harvard University, co-founder of a2z Radiology AI, and lead of the Rajpurkar Lab. His work pioneers AI systems that emulate physician-level expertise in medical tasks, with a focus on multi-modal medical AI and radiology. He joined Harvard faculty at age 25 and became Associate Professor at 30 after completing his Stanford PhD at 19. Education: Bachelor of Science (CS), Stanford University, 2015 Master of Science (CS), Stanford University, 2018 PhD (CS), Stanford University, 2021 Rajpurkar's research centers on building AI that thinks and communicates like doctors, with breakthrough work in ECG arrhythmia detection and chest X-ray interpretation. His lab develops foundational datasets (ReXGradient-160K, RadRevise) and benchmarks for medical AI, spanning computer vision, NLP, and multimodal systems. Current work focuses on generative AI for clinical workflows, voice-guided emergency assessment, and rigorous evaluation frameworks for medical LLMs. His 2025 publications reveal three dominant trends: (1) Generative medical AI for radiology report generation and editing, (2) Voice-enabled AI agents for prehospital care, and (3) Multimodal clinical monitoring systems. Key advancements include universal biomedical foundation models (UniBiomed), 3D CT segmentation from text reports, and frameworks for AI-human role separation in radiology. Scientific Awards: Forbes 30 Under 30 in Science (2022) MIT Tech Review Innovator Under 35 (2023) Nature Medicine Early-career Researcher To Watch (2022) Rajpurkar has mentored over 84,000 students through Harvard courses and Coursera's AI for Medicine program. His lab secures major NIH and NSF grants for medical AI development, with recent funding focused on multimodal emergency care systems (MC-MED) and radiologist-AI collaboration. He directs the Harvard-Stanford Medical AI Bootcamp and co-hosts The AI Health Podcast. The Rajpurkar Lab operates as a cross-institutional hub with collaborators at Stanford, MIT, and major hospitals. It drives initiatives like the MAIDA framework for global medical imaging data sharing and develops open-source tools including RadGraph for radiology report analysis. Current projects focus on voice AI for stroke assessment and generative models for non-invasive cancer management.

• Medical AI
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Sotirios Liaskos is an Associate Professor in the School of Information Technology at the Faculty of Science, York University. He is a leading researcher in requirements engineering and conceptual modeling, with a focus on goal models, empirical evaluation, and model-driven engineering. Research Interests: Requirements Engineering Goal and Conceptual Modeling Empirical Software Engineering Model-Driven Design and Automation Uncertainty and Decision-Theoretic Reasoning in Models Applications in Blockchain and Reinforcement Learning His recent work emphasizes the empirical validation of modeling constructs, the integration of decision theory into goal models, and the automated generation of secure workflows and AI training environments. He has led and co-authored numerous experimental studies on model comprehensibility and semantic quality. Publication Trends: His publications consistently appear in top venues like ER, RE, and iStar. The last five years show a strong trend toward empirical evaluation of modeling languages, decision-theoretic goal models, and applications of goal modeling in emerging domains such as blockchain and reinforcement learning simulation design. Scientific Contributions: Developed frameworks for empirical evaluation of modeling language ontologies (Peira framework). Advanced decision-theoretic approaches to goal modeling under uncertainty. Pioneered model-driven methods for generating blockchain simulators and reinforcement learning environments. Conducted foundational empirical studies on the comprehensibility of contribution links and visualization alternatives in goal models. Advising and Collaboration: He has advised several researchers including Ibrahim Jaouhar, Wisal Tambosi, Mehrnaz Zhian, and Saba Zarbaf. He maintains a highly collaborative research profile with frequent co-authorship with John Mylopoulos, Shakil M. Khan, and other international researchers. He has served as a co-editor for multiple iStar workshop proceedings, indicating leadership in the goal-oriented requirements engineering community. Labs and Teams: While no specific lab name is mentioned, his work is closely associated with research groups focused on requirements engineering and conceptual modeling, likely within York University’s software engineering research cluster. His collaborations span institutions in Canada, Europe, and beyond.

• Requirements Engineering
• Goal Modeling
• Conceptual Modeling
• +۷ مورد دیگر

Professor Anil Seth is a leading cognitive and computational neuroscientist at the University of Sussex, where he holds a professorship in the School of Engineering and Informatics. He is Director of the Sussex Centre for Consciousness Science and Co-Director of the CIFAR Program on Brain, Mind, and Consciousness and the Leverhulme Doctoral Scholarship Programme. His research bridges neuroscience, psychology, philosophy, and AI to investigate the biological basis of consciousness and selfhood. His research interests include: Predictive processing approaches to perception Virtual and augmented reality in self-experience studies Mathematical modeling of perception and emergence Machine learning applications in subjective perception modeling Interoception and selfhood Neural mechanisms of conscious experience The recent publications reflect a strong focus on consciousness, neural dynamics, predictive models, and interdisciplinary approaches. Trends include the use of computational modeling, neurophenomenology, causal analysis, and the ethical implications of emerging neurotechnologies. His work increasingly integrates large language models and data-driven methods for analyzing subjective experience. His scientific awards include: Segerfalk Award Perspectives Award Highly Cited Researcher (Web of Science, 2019–2022) Royal Society Michael Faraday Prize (2023) Seth has secured substantial research funding from the European Research Council (ERC), EPSRC, Wellcome Trust, CIFAR, and the Sackler Foundation. He has supervised numerous research projects and doctoral students through interdisciplinary programs. He leads the Dreamachine project and has been an Engagement Fellow with the Wellcome Trust. He serves on editorial boards including Philosophical Transactions of the Royal Society B and is Editor-in-Chief of Neuroscience of Consciousness . He leads a multidisciplinary research group at the Sackler Centre, bringing together psychologists, mathematicians, neuroscientists, computer scientists, and philosophers. His team conducts innovative research using virtual reality, neuroimaging, and computational modeling to explore the nature of consciousness and self.

• Cognitive Neuroscience
• Computational Neuroscience
• Consciousness Science
• +۱۲ مورد دیگر

Steven Rutt is an Associate Professor of Biblical & Theological Studies and the founding Director of the Master of Arts in Theology, Worldview, and Culture at Arizona Christian University. He has over four decades of experience in pastoral ministry, mission work, and theological education across fourteen countries, including roles in New Zealand, Lithuania, the UK, and the United States. His educational background includes a Ph.D. from the University of Lancaster, an M.A.T. from Fuller Theological Seminary, and a B.Th. from Sweetwater Bible College. Dr. Rutt's research focuses on missiology, particularly the life and theology of Roland Allen, ecclesiology, historical theology, and the intersection of Christian faith with culture. He has taught courses in Systematic Theology, Hermeneutics, Pauline Studies, and Early Christianity. His work emphasizes apostolic principles, church planting, and the priesthood of the laity. His recent publications and presentations reveal a consistent focus on missionary ecclesiology, the legacy of Roland Allen, and the application of historical theological insights to contemporary mission practice. His writings span journals like Transformation and books published by The Lutterworth Press. He remains an active lecturer at the Oxford Centre for Mission Studies and within the Reformed Episcopal Church. He is also a member of The Society of Anglican Theologians and founder of Covenant Renewal Ministries, Inc. Dr. Rutt has supervised Ph.D. candidates and contributed to theological training globally. Though no specific grants are mentioned, his leadership in founding academic programs and non-profit ministry indicates significant institutional and scholarly engagement. He has delivered lectures and seminars across Europe and North America, contributing to clergy training and intercultural theological dialogue. He is affiliated with several academic and ecclesial bodies, including the Yale-Edinburgh Group and the Oxford Centre for Mission Studies, and continues to influence theological education through writing, speaking, and teaching.

• Missiology
• Historical Theology
• Systematic Theology
• +۷ مورد دیگر

Prof. Dr. Ingo Scholtes is Chair of Machine Learning for Complex Networks at Julius-Maximilians-Universität Würzburg's Center for Artificial Intelligence and Data Science (CAIDAS). His research spans network science, graph machine learning, and computational social science, with applications in software engineering, ecology, biology, and physics. He received a Juniorfellowship from the German Informatics Society (2014) and an SNSF Professorship (CHF 1.5Mio, 2018). Current affiliations: JMU Würzburg (since 2021), University of Zurich (2018-2024), Bergische Universität Wuppertal (2019-2021) Research focus: Higher-order network modeling, temporal graph analysis, AI for collaborative systems, causality-aware machine learning His recent publications demonstrate strong trends in temporal network analysis , graph neural networks for time-series, and higher-order models across software engineering and social science domains. He co-chairs multiple international workshops on complex networks and serves as associate editor for EPJ Data Science and Advances in Complex Systems. Key scientific contributions: Foundational work on higher-order network models published in Nature Physics Methodological innovations in temporal network visualization (HOTVis) and path-based analysis (pathpy) As both educator and organizer, he leads the Computational Social Science Section at GI e.V., mentors across disciplines, and develops tools like git2net for collaboration analysis. His work bridges theoretical foundations with practical applications in network science.

• Network Science
• Graph Neural Networks
• Computational Social Science
• +۴ مورد دیگر

Ferhan Çeçen is a Professor at the Institute of Environmental Sciences, Bogazici University, Istanbul, where she has maintained an active research and teaching role since 1999. Her career spans over three decades of contributions to environmental engineering with particular emphasis on advanced water treatment technologies and pollutant behavior in biological systems. Her academic foundation includes: B.S. in Chemical Engineering from Bogazici University (1984) M.S. in Environmental Engineering from Istanbul Technical University (1993) Ph.D. in Environmental Engineering from Istanbul Technical University (1990) Her research program centers on Water and Wastewater Treatment, Environmental Biotechnology, Adsorption Processes, and the Effects of Hazardous Substances on Biological Treatment. She has pioneered investigations into extracellular polymeric substances (EPS) dynamics, nanomaterial impacts on microbial communities, and the integration of adsorption with biological treatment for micropollutant removal. Her work bridges fundamental microbiological mechanisms with practical engineering applications for sustainable water resource management. Analysis of her publication record reveals consistent focus on pharmaceutical biodegradation mechanisms, nanosilver toxicity in activated sludge systems, and granular activated carbon applications for emerging contaminants. Her research demonstrates sophisticated integration of experimental biodegradation studies with predictive modeling frameworks, particularly BIOWIN models, to address complex challenges in modern wastewater treatment. She has secured significant research funding through Bogazici University's Scientific Research Projects Fund (BAP) and TÜBİTAK, directing projects including "Removal of Micropollutants From Drinking Water by Granular Activated Carbon" (2019-present), "Effect of nanosilver on biological treatment systems" (2015-2016), and "Microbial products and metal inhibition in biological systems" (2012-2015), demonstrating sustained leadership in addressing critical water quality challenges.

• Water and Wastewater Treatment
• Environmental Biotechnology
• Adsorption Processes
• +۳ مورد دیگر

Harry R. Lloyd is an Assistant Professor of Philosophy at the University of North Carolina at Chapel Hill, serving as Core Faculty for the PPE Program and Research Affiliate at the Center for AI Safety. He joined UNC Chapel Hill in Fall 2025 after completing his PhD at Yale University, where his dissertation examined moral uncertainty and bargaining under Shelly Kagan. His academic foundation includes a Ph.D. in Philosophy from Yale University (2020-2025) and a first-class B.A. in Philosophy, Politics, and Economics from the University of Oxford's Lady Margaret Hall (2016-2019), where he graduated top of his cohort and won multiple prizes including the Hicks/Webb Medley Prize and Uehiro Essay Prize. He attended Monmouth Comprehensive School (2009-2016), becoming the first comprehensive school student to win Trinity College Cambridge's Philosophy Essay Prize. Lloyd's research integrates Ethics, Political Philosophy, and Philosophy of AI through innovative frameworks for moral uncertainty and bargaining theory. His work bridges abstract theory with urgent real-world applications in AI alignment, distributive justice, and urban policy. He critically examines how normative disagreement should be resolved in AI systems, challenges conventional views on gentrification's moral dimensions, and develops resource-rational approaches to contractualism in animal ethics and intergenerational justice. His publication trajectory reveals a cohesive intellectual project: advancing bargaining-theoretic solutions to moral uncertainty while applying these frameworks across AI safety, political philosophy, and bioethics. Recent work in Philosophical Studies and Ergo establishes novel connections between moral uncertainty and collective decision-making, while his Journal of Urban Affairs article redefines gentrification's ethical analysis beyond displacement metrics. Awarded significant fellowships and prizes including the Rocky Mountain Ethics Congress Young Ethicist Prize (2024) and Global Priorities Institute Essay Prize (2021), his honors demonstrate impact across multiple domains: Institute for Humane Studies Junior Fellowship (2025) Forethought Foundation Global Priorities Fellowship (2022-2024) Rocky Mountain Ethics Congress Young Ethicist Prize (2024) Global Priorities Institute Early Career Conference Programme (2022) Research funding includes the Global Priorities Fellowship (2022-2024) and Institute for Humane Studies Junior Fellowship (2025). He actively shapes academic discourse through peer review for journals including Philosophical Studies and Journal of Applied Philosophy, and co-organizes the Yale Moral Philosophy Working Group. Though newly appointed, his teaching portfolio spans Environmental Ethics, PPE Capstone, and Philosophy of Technology, building on Yale teaching experience where he served as primary instructor for Philosophy and Technology. Lloyd maintains active research affiliations with the Center for AI Safety and previously contributed as a Resident Fellow at Yale's Information Society Project (2023-2025). His collaborative networks extend to the Global Priorities Institute at Oxford and Happier Lives Institute, driving interdisciplinary work at the AI-society interface through regular presentations at PPE Society meetings and ethics conferences.

• Ethics
• Political Philosophy
• Philosophy of AI
• +۶ مورد دیگر

Teemu Roos is a Professor at the Department of Computer Science , University of Helsinki , and a Principal Investigator for the Complex Systems Computation Group under the Helsinki Institute for Information Technology. He serves as a Supervisor for the Doctoral Programme in Computer Science and leads multiple research initiatives, including Distributed AI in Supercomputing , AI & Kids , and Generation AI . Dr. Roos also holds a Docent title in Computer Science. His research spans Artificial Intelligence , Machine Learning , and Data Science , with a focus on AI education , graph neural networks , Bayesian modeling , and health informatics . He has pioneered tools like Elements of AI , a free online course now translated into 22 EU languages, and explores the ethical implications of AI-generated content in authorship and inventorship. The 15 most recent publications highlight applications in environmental forecasting (e.g., Mediterranean Sea via graph-based deep learning), healthcare (e.g., skin cancer detection with transfer learning), and social media analysis (e.g., explainable AI platforms for K-12 education). Methodologically, his work advances clustering algorithms , dimensionality reduction , and approximate nearest neighbor search . Scientific Awards: Cor Baayen Award (2009) Nokia Foundation Recognition Award (2019) Best Paper Honorable Mention Award (2013) ICT Influencer of the Year 2019 (Vuoden TiVi-vaikuttaja 2019) World Summit AI's Top-50 Innovators in 2020 Dr. Roos has supervised 2 doctoral students and contributed to 163 academic activities , including invited talks at MIT, University of Cambridge, and the Finnish Institute in Rome. He has secured funding from the Academy of Finland and the Strategic Research Council, focusing on projects like Fast AI-assisted Space Environment Prediction and Urban Exerciser .

• Artificial Intelligence
• Machine Learning
• Data Science
• +۶ مورد دیگر

Johan Eklöf is a Professor at Stockholm University within the Department of Ecology, Environment and Plant Sciences . His research emphasizes marine ecology , focusing on interactions between marine biodiversity, environmental conditions (including climate), and societal impacts . He teaches courses such as Management of Aquatic Resources in the Tropics , Marine Ecology for the Biogeo Program , and Ecology II . Research Focus: Causal relationships between biodiversity and ecosystem resilience Foundation species as drivers of ecosystem services Optimizing resource management under climate change Projects: Principal Investigator for FORCE (2023-present), a transdisciplinary Baltic Sea recovery project Contributor to NordSalt (climate impacts on Nordic salt marshes) and PlantFish (Baltic Sea vegetation-fish interactions) Scientific Leadership : Supervises 2 current PhD students and co-supervises 6 additional PhD/postdocs Formerly mentored 4 PhD graduates and >40 MSc students Environmental Context: His work spans Baltic Sea and Western Indian Ocean ecosystems, using seagrass beds , mussel beds , and coastal benthic systems as primary models. Recent publications highlight climate change impacts on trophic cascades , habitat connectivity , and policy frameworks for marine conservation .

• Marine Ecology
• Biodiversity and Ecosystem Resilience
• Environmental Change
• +۳ مورد دیگر