Find Academic Supervisors

• International Relations
• European Union Politics
• Foreign Policy
• +3 more

Beāte Livdanska serves as a Lecturer (In-house) and Ph.D. student at the Faculty of Social Sciences, Riga Stradinš University, Latvia. Her academic focus centers on the foreign policy dynamics of small EU member states, particularly Latvia and Lithuania, within European Union frameworks concerning Belarus and geopolitical crises. Her research explores how small states navigate EU sanctions mechanisms, bilateral relations with Belarus, and status-seeking behaviors in foreign policy. Key themes include Latvia-Belarus diplomatic interactions under the shadow of the Ukrainian war, Lithuania's role in shaping EU policy toward Belarus, and the instrumentalization of political influence by small states within EU decision-making processes. Livdanska's scholarly output reveals a consistent emphasis on small-state agency in EU foreign policy, with recent works analyzing the impact of geopolitical shocks on bilateral relations and the strategic use of sanctions. Her publications demonstrate methodological rigor through case study approaches and comparative analyses spanning 2004-2025. She actively contributes to major research initiatives including The status of small member states in the European Union: Latvia's and Lithuania's policy towards Belarus (comparative analysis 2004-2024) as project leader, Values in action: development of responsible, secure and educated civil society as expert, and Enhancing General Practitioner Resilience in Latvia as expert. These projects reflect her engagement with both national policy development and EU structural funding mechanisms.

Annamária FRIEDLView profile

Assistant Professor

• Complex Finsler Geometry
• Generalized Finsler Metrics
• Deformation of Complex Finsler Metrics

Dr. Annamária FRIEDL is an Assistant Professor in the Department of Mathematics and Computer Science at Transilvania University of Brașov's Faculty of Mathematics and Computer Science. Her office is located in Building P (Room PP4) at Str. Iuliu Maniu nr. 50, Brașov, Romania. She can be contacted via email at szasz.annamaria@unitbv.ro. Research Focus Her primary research explores specialized areas of differential geometry, including: Complex Finsler Geometry : Investigating geometric structures on complex manifolds with Finsler metrics Generalized Metrics : Analysis of Beil metrics and their applications in complex spaces Metric Deformations : Studying variations and transformations of Finsler metrics Publication Trends Dr. FRIEDL's scholarly output demonstrates evolving research trajectories. Early work (2012-2015) established foundations in complex Finsler spaces, Beil metrics, and quaternionic structures. Recent publications (2018-2025) show expansion into spacetime geometry and cosmological applications, including Landsberg-Finsler metrics and connections to kinetic gas theories. Her work consistently bridges pure mathematics with theoretical physics frameworks.

Juan-Pablo OrtegaView profile

Professor

• Machine Learning
• Dynamical Systems
• Mathematical Physics
• +3 more

Juan-Pablo Ortega is a Professor of Mathematics and Applied Geometry & Dynamics at Nanyang Technological University (NTU), Singapore, holding the Lee Soo Ying Professorship. He serves as Head of the Division of Mathematical Sciences and Associate Chair (Faculty) in the School of Physical and Mathematical Sciences. His academic affiliations include part-time roles as an Extraordinary Professor at the University of Pretoria and membership in the Real Academia de las Ciencias de España. He is on leave (détachement) from CNRS (France). Ortega's research focuses on machine learning, dynamical systems, and their applications in areas such as reservoir computing, mathematical physics, and econometrics. He co-leads the Machine Learning and Dynamical Systems Special Interest Group at The Alan Turing Institute and has organized workshops at institutions like ETH Zürich and Scuola Normale Superiore, Pisa. His work bridges theoretical mathematics with practical applications in forecasting, signal processing, and quantum computing. Ortega has delivered keynote speeches at prestigious events like the Geometric Science of Information conference (France, 2023) and the Non-autonomous Dynamics in Complex Systems workshop (Germany, 2023). He contributed to the Nowcasting Lab at the KOF Swiss Economic Institute and has authored influential books, including the award-winning Momentum Maps and Hamiltonian Reduction (2004), which earned the Ferran Sunyer i Balaguer Prize. His research also extends to financial mathematics, stochastic dynamics, and geometric mechanics. Ortega’s academic contributions include leadership in international research networks, such as co-organizing semester programs at the Bernoulli Institute (EPFL, 2017) and workshops on dynamical systems and brain-inspired information processing. His current projects emphasize geometric learning, structure-preserving algorithms, and the mathematical foundations of reservoir computing.

• High-Performance Computing
• Parallel Programming
• Task Parallelism
• +6 more

Stephen L. Olivier is a prominent researcher in high-performance computing at Sandia National Laboratories, with a distinguished publication record spanning nearly two decades. His work focuses on parallel programming models, performance optimization, and energy-efficient computing across diverse architectures including CPUs, GPUs, and FPGAs. Olivier has made significant contributions to OpenMP standards and Kokkos programming model development, collaborating extensively with Department of Energy national laboratories and international research teams. Olivier's research interests center on task parallelism, memory management in distributed systems, and performance portability across heterogeneous architectures. His work addresses critical challenges in exascale computing, including efficient task scheduling for unbalanced workloads, power management in large-scale systems, and optimization of communication patterns. More recently, he has expanded his research into medical imaging applications, applying high-performance computing techniques to tuberculosis detection in rural healthcare settings. Analysis of Olivier's recent publications (2021-2024) reveals a strong focus on practical performance engineering for next-generation computing platforms. His work spans traditional HPC domains while increasingly incorporating data science applications and medical imaging analysis. The research demonstrates consistent innovation in parallel programming models, particularly around OpenMP tasking and Kokkos abstractions, with growing emphasis on energy efficiency and hardware-specific optimizations for emerging architectures. Olivier has maintained a prolific research output with numerous publications in top-tier conferences including SC, IPDPS, and IWOMP. His collaborative work extends across multiple Department of Energy laboratories and international institutions, reflecting the interdisciplinary nature of modern high-performance computing research. While specific grant information isn't detailed in the publication record, his work on DOE systems suggests significant involvement in national supercomputing initiatives.

Janet DwyerView profile

Professor

• Sustainable Rural Development
• Agricultural Policy
• Environmental Sustainability
• +4 more

Janet Dwyer is a Professor of Rural Policy at the University of Gloucestershire and the Research Institute for Humanity and Nature (Kyoto, Japan). With over 30 years in applied rural research, her work focuses on sustainable agriculture, EU/UK rural policy evaluation, and institutional adaptation. She holds a PhD in Agricultural Economics (University of Wales, 1990) and an MA in Biological Sciences (University of Cambridge, 1985). Her research spans policy analysis for the European Commission, Defra, and NGOs, including leadership of the EU-funded 'Satoyama reconnections' project (2024–2028). She advises UK government bodies like Defra's Rural Academic Panel and chairs policy groups such as the Nutrient Management Expert Group (2021–22). Professional roles include Director of Rural England CIC, Trustee of the Organic Research Centre, and Fellow of the Royal Agricultural Societies. Key achievements include influencing agri-environmental policies across Europe and being awarded an OBE (2022) for services to rural research. Her recent work explores cultural landscapes, upland farming efficiency, and climate-resilient rural development strategies. Education: PhD Agricultural Economics, University of Wales, Aberystwyth (1990) MA Biological Sciences, University of Cambridge (1985) Grants & Projects: EU Horizon 2020 (Pegasus, RUSTIK), OECD Green Growth studies, Defra-funded rural resilience initiatives. Awards: OBE (2022), Fellow of the Royal Agricultural Societies, Membre Associé of French Academie d'Agriculture. Labs/Teams: Leads CCRI research teams on rural policy and collaborates with global institutions like AgroParisTech and Scotland’s Rural College.

• Behavioral Finance
• Market Microstructure
• Retail Investor Behavior
• +3 more

Grace Lepone is a Senior Lecturer in the Department of Applied Finance at Macquarie University, affiliated with the Centre for Corporate Sustainability and Environmental Finance. She holds a PhD from Macquarie Graduate School of Management, supported by the Corporate Governance Centre at the Australian Securities Exchange and BT Financial Group. Her research focuses on behavioral finance, market microstructure, and experimental studies, with a particular emphasis on retail investor behavior and regulatory impacts. Grace has supervised multiple PhD candidates through Capital Markets CRC scholarships, including Thi My Thuong Doan, Anil Gautam, Dionigi Gerace, and Zhini Yang. Her work explores topics like time zone effects on trading behavior, the disposition effect, and the implications of financial regulations such as MiFID II. She collaborates broadly, with projects spanning equity market efficiency, investor psychology, and cross-border trading dynamics. Her research outputs include studies on retail investor preferences during crises, the impact of MiFID II on equity markets, and the role of birth cohorts in speculative trading. Grace actively contributes to academic discourse through peer-reviewed journals and maintains affiliations with industry partners.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +5 more

Bo Wang represents multiple academic researchers across various institutions worldwide, with prominent affiliations at Tsinghua University, Michigan State University, University of York, and Hamad Bin Khalifa University. The collective profile shows active research contributions across computer science, engineering, and applied mathematics disciplines. These researchers hold faculty positions primarily as Professors or Associate Professors in departments including Computer Science, Electrical Engineering, and Applied Mathematics. Research interests span artificial intelligence, machine learning, biomedical engineering, wireless communications, and computational mathematics. The collective publication record demonstrates significant contributions to federated learning, medical image analysis, control systems, and biomolecular modeling. Recent work shows particular strength in developing novel AI architectures for scientific computing and healthcare applications. Publication trends reveal increasing interdisciplinary collaboration, with substantial output in top-tier journals and conferences from 2020-2025. Key research areas include deep learning for medical imaging, optimization algorithms for engineering systems, and computational methods for biological data analysis. The collective work shows strong methodological innovation combined with practical applications. No specific scientific awards were identified in the disambiguation page, though the high publication volume in reputable venues suggests recognition within respective fields. The collective research demonstrates strong connections between theoretical advances and practical implementations across multiple domains. While specific student information isn't provided in the disambiguation page, the extensive publication record suggests active supervision of graduate students. Research appears well-funded through various institutional and potentially national funding mechanisms, supporting the diverse range of projects spanning theoretical and applied domains.

• Neural Networks
• Medical Image Analysis
• Computer Vision
• +5 more

Zhigang Li is a Professor in the Department of Computer Science at South China University of Technology's School of Computer Science and Engineering. His research spans multiple technical domains with significant contributions to neural networks, medical imaging, computer vision, and sensor technologies. Recent collaborations include work with Northwestern Polytechnical University, Hong Kong University of Science and Technology, and various medical research institutions. Dr. Li's research interests focus on neural network architectures, particularly small-world and feedforward networks for system modeling and medical applications. His work bridges computer science with practical applications in healthcare (EEG analysis, schizophrenia detection, liver transplant allocation), environmental monitoring (wastewater treatment), and engineering systems (CMOS image sensors, UAV networks). His research demonstrates strong interdisciplinary connections between theoretical computer science and real-world problem solving. Analysis of his recent publication trends shows increasing focus on medical applications of AI, with significant work in brain functional network analysis, depression recognition, and schizophrenia detection. His technical contributions include novel neural network architectures, efficient sensor systems, and advanced signal processing techniques. The publications reveal a consistent pattern of high-quality output in top-tier journals across multiple disciplines. Dr. Li has received recognition through publications in prestigious venues including IEEE Transactions, Medical Image Analysis, and Expert Systems with Applications, though specific awards aren't documented in the provided bibliography. His work demonstrates significant impact across multiple fields, particularly in applying computational methods to healthcare challenges. His research program includes collaborations with medical researchers for brain imaging applications, electrical engineers for sensor development, and computer scientists for network architecture design. Current projects appear focused on multi-view brain network analysis, energy-efficient sensor systems, and medical AI applications with potential clinical impact.

Lorena HerzogView profile

Research Fellow

• Sociology of Work
• Political Economy
• Digital Transformation
• +3 more

Lorena Herzog serves as a Research Fellow at the WZB Berlin Social Science Center within the Research Group Globalization, Work, and Production , and holds an associated researcher position at the Weizenbaum Institute's Working with Artificial Intelligence group. Her work critically examines intersections of digitalization, ecological transformation, and labor market structures through sociological and political economy lenses. Education: Graduate Studies at Freie Universität Berlin (2020-2024) Undergraduate Studies at Humboldt-Universität zu Berlin (2015-2020) with one-year exchange at Tel Aviv University Research Focus: Herzog investigates how digital disruption and green transitions reshape work organization, business models, and economic governance. Her current GEMI project analyzes strategy development challenges during sustainability transitions, while prior work examined pandemic-driven automation in 540 German firms across six sectors. She consistently integrates sociological work analysis with political economy frameworks to address platform labor dynamics and green industrial policy. Publication Trends: Her 2022-2024 output reveals escalating focus on crisis-accelerated digitalization (particularly pandemic impacts on platform work and Industry 4.0 adoption) and green transition financing . Cross-sectoral analyses of automotive, logistics, and finance industries demonstrate how crises catalyze technological adoption while exacerbating organizational inequalities between pioneer and laggard firms. Research Ecosystem: Herzog operates within WZB's collaborative environment studying work transformations, contributing to interdisciplinary projects that bridge social science with AI research through the Weizenbaum Institute partnership. Her methodological approach combines qualitative case studies with standardized firm surveys to generate policy-relevant insights on just transition pathways.

• Sociology of Aging
• Digital Sociology
• Social Gerontology
• +5 more

Assoc. Prof. Dr. Meyrem TUNA UYSAL is a sociologist affiliated with the Department of Sociology at Suleyman Demirel University 's Faculty of Humanities and Social Sciences. She holds a PhD in Public Administration and MA/BA in Sociology from the same institution. Her research focuses on aging studies, digital sociology, family dynamics, and social violence, with particular emphasis on topics like ageism, intergenerational relations, and technology's societal impact. Educations: Bachelor's Degree in Sociology (2004) MA in Sociology (2008) PhD in Public Administration (2014) Research Interests: Meyrem TUNA UYSAL explores how digital technologies reshape social interactions among youth and elderly populations. She investigates aging-related issues such as elder abuse, productive aging, and cultural perceptions of aging. Her work also addresses societal violence through media analysis (e.g., film critiques) and gender studies. Methodologically, she combines quantitative and qualitative approaches to study family structures, communication patterns, and policy impacts on vulnerable groups. Recent Publications Trends: Her articles (2020-2024) prominently feature aging-related studies (50% of output), digital society (25%), and social violence (20%). Key themes include ageism in care institutions, digital exclusion/amplification of age-related issues, and media's role in shaping societal attitudes toward violence and aging. Awards/Citations: H-index: 11 Total Citations: 520 Teaching & Academic Contributions: She teaches core sociology courses including Sociology of Family, Classical Sociological Theories, and Graduation Project supervision. She has authored/co-authored 12 books covering topics like digital society, gerontology, and social policy. Currently actively involved in editorial work and international conferences in social sciences.

Stavroula KalogerasView profile

Assistant Professor

• Transmedia Storytelling
• Scholarship of Teaching and Learning (SoTL)
• AI in Education
• +3 more

Stavroula Kalogeras is an Assistant Professor at Heriot-Watt University's School of Social Sciences, Senior Fellow of the Higher Education Academy (SFHEA), and a pioneer in transmedia education pedagogy. With 22+ years in higher education across multiple cultures, she bridges research-practice gaps through design thinking, narrative instruction, and neuroscience. Bachelor of Arts (BA), Communications (Mass Media), SUNY Plattsburgh Master of Business Administration (MBA), Telecommunications, University of La Verne Postgraduate Certificate in Research, University of Hull PhD, Transmedia Storytelling Framework, University of Hull Her research focuses on transmedia storytelling , AI in education , and purpose-driven brands , aiming to enhance student engagement and organizational behavior. Recent work explores generative AI ethics, social media influencer dynamics, and AI-augmented creativity. Publications include two books on pedagogical enhancement and 16 research outputs (2013-2025), with 15 most recent articles spanning transmedia psychology , neuroeducation , and digital brand ethics . Awards include dual digital marketing certification, LEGO Serious Play methodology training, and global leadership nominations. Certified Digital Marketing Professional (DMI & AMA) International Conference Best Paper Award LEGO Serious Play Certification SFHEA (Senior Fellow of Higher Education Academy) Female Factor Global Leadership Nomination She leads the Heriot-Watt University Organizational Research in the UAE lab and contributes to Oxford University’s AI in Education initiatives, emphasizing evidence-based practices for transformative learning.

Kristin Aleklett KadishView profile

Researcher

• fungal ecology
• fungal behaviour
• soil ecology
• +5 more

Kristin Aleklett Kadish is a Researcher and Principal Investigator at Lund University's Department of Biology, Faculty of Science. She is affiliated with BECC (Biodiversity and Ecosystem services in a Changing Climate), a prominent research center at Lund University focused on environmental and ecological research. Her work contributes to UN Sustainable Development Goals related to environmental sustainability and climate action. Dr. Aleklett Kadish specializes in fungal ecology and behavior, with particular expertise in soil ecology, plant microbiome interactions, and the application of microfluidics technology to study microbial habitats. Her research employs innovative approaches like the 'Soil Chip' microfluidic system to visualize and analyze fungal foraging behavior and hyphal network development in controlled soil environments. She investigates how small-scale spatial structures in soil influence large-scale nutrient cycles and ecosystem functions. Her research portfolio demonstrates consistent focus on understanding fungal decision-making processes, symbiotic interactions, and the ecological implications of microbial behavior in soil environments. Recent work shows increasing emphasis on developing fungal ethology as a distinct discipline within mycology, exploring how fungi exhibit complex behaviors in response to environmental challenges. Dr. Aleklett Kadish actively collaborates on multiple research projects, including 'The Soil Chip' project funded by the Crafoord Foundation, 'Exploring fungal decision making and agency in symbiotic interactions' funded by the V. Kann Rasmussen Foundation, and 'How does foraging for nutrients work in symbiotic systems?' funded by Stiftelsen Ove Almborns donationsfond. Her work has received significant attention across multiple media platforms, with research outputs picked up by numerous news outlets and shared across social media channels. She regularly presents her research at international conferences including the International Mycological Congress and the International Society for Microbial Ecology, and has participated in media interviews discussing her innovative approaches to studying soil microbial ecosystems. Her research has generated considerable interest in both academic and public spheres, with substantial readership on platforms like Mendeley.

Alok MenonView profile

Lecturer

• Aerospace Engineering
• Flight Dynamics
• Adaptive Control
• +3 more

Dr. Alok Menon serves as a Lecturer in the Department of Aerospace Engineering at Wichita State University's College of Engineering. Based in Wallace Hall on the Main Campus, he maintains active contact through email (alok.menon@wichita.edu) and phone ((316) 978-3410), reflecting his current institutional engagement in teaching and research within aerospace engineering. His research portfolio demonstrates deep specialization in flight dynamics and adaptive control systems for next-generation aircraft. Key focus areas include morphing wing structures, SansEC sensor-based structural health monitoring, and flight testing methodologies. Dr. Menon's work bridges theoretical control frameworks with practical applications, particularly in flexible aircraft systems where he develops stability-guaranteed control architectures and real-time deflection measurement techniques. His educational contributions extend to flight dynamics curriculum development and mobile flight logging tools. Analysis of Dr. Menon's publication record (2014-2025) reveals three dominant research thrusts: (1) adaptive control innovations for morphing/flexible wings using hybrid PDE-ODE models, (2) SansEC sensor applications for structural monitoring in flight environments, and (3) empirical flight data analysis from ASM/Lead aircraft fleets. His recent work increasingly integrates augmented reality displays for pilot advisories and explores decentralized control architectures, indicating evolving focus toward human-machine interfaces in aviation safety systems. No scientific awards or honors were documented in the provided materials. While specific advisees aren't listed, Dr. Menon's flight test assignment modules and mobile logging applications suggest active mentorship in aerospace education. His operational loads monitoring studies using ASM aircraft fleets imply significant research collaboration with aviation organizations, though specific grant details remain unreported in the source text. Dr. Menon's SansEC sensor research and flight test instrumentation work indicate probable involvement with structural dynamics laboratories equipped for aeroelastic testing, though specific lab affiliations weren't explicitly stated in the provided information.

• Network Theory
• Statistical Physics
• Financial Complexity
• +5 more

Diego Garlaschelli is a Full Professor of Theoretical Physics at the IMT School of Advanced Studies in Lucca (Italy) and leads the Networks research unit. He concurrently serves as a Professor at Leiden University’s Lorentz Institute for Theoretical Physics, leading the Econophysics and Network Theory group. He holds positions as an external faculty member at the Complexity Science Hub Vienna and an associate member at the Enrico Fermi Research Center (Rome). His research focuses on network theory, statistical physics, financial complexity, ecological systems, and information theory. Garlaschelli has authored over 100 peer-reviewed publications, including contributions to Nature , Science , and Physical Review Letters . He teaches courses on Network Theory and Complex Systems. Notable research includes structural analysis of financial networks, maximum-entropy network models, and systemic risk estimation. Education: M.Sc. in Theoretical Physics from University of Rome III (2001), Ph.D. in Physics from University of Siena (2005). Postdoctoral positions at Australian National University, University of Oxford, and Sapienza University of Rome. Research interests span interdisciplinary topics such as financial network reconstruction, ecological community dynamics, and mesoscopic organization of neural systems. His work bridges statistical physics with real-world network applications, emphasizing data-driven approaches and theoretical frameworks.

Joseph RoevensView profile

Researcher

• Organizational Behavior
• Leadership Studies
• Participative Change Management
• +3 more

Joseph Roevens, PhD, is a Researcher affiliated with the Academy for Hotel & Facility at Breda University. His work focuses on organizational effectiveness, leadership, and participative change, with notable research on self-management systems, mindfulness in organizations, and hotel industry dynamics. He has collaborated on projects involving sustainable experience design, systemic constellations, and participative organizational change. Research interests include leadership practices inspired by organizations like Semco and Zappos, as well as innovative methods such as using tango in educational contexts. His work bridges theory and practice, often involving dialogues with industry leaders to explore sustainable solutions. Roevens has engaged in 101+ activities including guest lectures, academic visits, and consultancy roles. Notable collaborations include the JEWELS TOUR project on Jewish heritage tourism. He has been featured in media discussions about employer branding and creative chaos methodologies in organizational management. Professional roles include Secretary General at the Instituut Joodse Studies UA and advisory roles in hospitality and education sectors. His research outputs include digital/visual products, books, and academic papers.