جست‌وجوی استاد و پژوهشگر

• International Economic Law
• International Environmental Law
• Energy Law and Climate Policy
• +۷ مورد دیگر

Ilaria Espa is Associate Professor of International Economic Law at the Institute of Law, Faculty of Economics, Università della Svizzera italiana (USI). She is also Senior Research Fellow at the World Trade Institute (University of Bern), Adjunct Professor at Università Cattolica del Sacro Cuore (Milan), and Lead Counsel for the Natural Resources Program at the Centre for International Sustainable Development Law (CISDL). She is affiliated with USI research centers including the Center for Climate Finance and Sustainability (CCFS), Center for Federalism (CF), and the Research Group on Public Integrity (GRIP). Her education includes a PhD in International Economic Law from Bocconi University (2013) and a Visiting Scholar position at Columbia Law School (2012). She was awarded a Marie Curie Fellowship (2013–2015) and the Premio SIDI in 2013. Ilaria Espa's research lies at the intersection of international economic law, environmental law, energy regulation, and sustainable development. She focuses on the governance of critical minerals, international trade in sustainable electricity, climate change mitigation, and the legal frameworks supporting green transitions. Her work emphasizes the interconnections between trade, environment, and development policies at both global and regional levels. The recent publications reflect a strong trend toward analyzing regulatory challenges in sustainable energy trade, critical raw materials, carbon pricing, and green infrastructure. Her scholarship consistently bridges legal doctrine with policy relevance, contributing to debates on climate governance, trade reform, and sustainable investment. Marie Curie Fellowship (European Commission, 2013–2015) Premio SIDI 2013 She has supervised doctoral students as a member of the doctoral faculty in Legal Studies (International and EU Law track) at Bocconi University and has taught at the University of Milan (2015–2020). She regularly provides expert consultation to governmental agencies, international organizations, and NGOs on legal and policy matters related to trade, environment, and sustainable development. Her research has been supported by competitive grants, including the Marie Curie program. Ilaria Espa is actively involved in several research groups and platforms, including the Cambridge University C-EENRG Platform on Global Energy Governance, and leads research initiatives on natural resources and sustainable development law.

Jenni Romaniukمشاهده پروفایل

استاد پژوهشی

• Marketing Science
• Brand Management
• Consumer Behavior
• +۱۱ مورد دیگر

Professor Jenni Romaniuk is a Research Professor of Marketing and Associate Director (International) at the Ehrenberg-Bass Institute for Marketing Science, formally affiliated with the University of South Australia through UniSA Business School. She is a leading authority in marketing science, particularly in brand growth, mental availability, and distinctive brand assets. Her research focuses on understanding how brands grow through empirical generalizations, with significant contributions to the measurement of brand health, category entry points, and advertising effectiveness. She has authored three major books: Building Distinctive Brand Assets , How Brands Grow Part 2 , and Better Brand Health , all published by Oxford University Press. The 15 most recent publications reveal a strong trend in consumer behavior across diverse contexts, including non-profits, luxury brands, co-branding, and emerging markets. Her work integrates quantitative modeling with behavioral insights, often using large-scale datasets to validate marketing laws such as the Pareto principle and mental availability theory. She frequently publishes in top journals like the European Journal of Marketing , International Journal of Market Research , and Journal of Advertising Research . She is a past editor and current member of the Senior Advisory Board of the Journal of Advertising Research , reflecting her leadership in the academic marketing community. Her collaborations span global researchers, contributing to foundational knowledge in brand equity, private labels, and word-of-mouth dynamics. Jenni Romaniuk has not disclosed any PhD or Master’s students in the provided text. She is actively engaged in research and has no indication of part-time status, retirement, or former staff designation. She is not listed with any specific email address in the text.

Dominik Kopczynskiمشاهده پروفایل

پژوهشگر

• Lipidomics
• Mass Spectrometry
• Metabolic Pathways
• +۳ مورد دیگر

Dominik Kopczynski is a researcher affiliated with the Department of Analytical Chemistry at the Faculty of Chemistry. His work focuses on lipidomics, mass spectrometry, and the development of bioinformatics tools for lipid structure analysis and experimental standardization. He has contributed to initiatives like the lipidomics reporting checklist and Goslin nomenclature system. Active in organizing academic events such as the de.NBI Spring School for lipidomics bioinformatics and Keystone Symposia on lipid biology, he collaborates extensively with international researchers. Research Interests: Lipid metabolism, mass spectrometry-based analytical methods, lipid nomenclature standardization, proteomics, and computational tools for omics data analysis. His work bridges biochemical experimentation with bioinformatics to enhance reproducibility and interdisciplinary collaboration in lipidomics research. Activities: Organized 36 academic events including conferences, schools, and poster sessions. Notable contributions include co-organizing the 2025 de.NBI Spring School and contributing to the Keystone Symposia on lipid cellular function and disease. Engaged in both presenting research and fostering collaborative research networks. Labs/Teams: Collaborates within the Department of Analytical Chemistry and participates in international lipidomics consortia. His work often involves cross-disciplinary teams focused on integrating biochemical and computational approaches. Grants/Advising: While specific grants are not detailed, his extensive publication record and collaborative activities suggest involvement in funded projects related to lipidomics infrastructure development and analytical method standardization.

• Machine Learning
• Climate Science
• Energy Systems
• +۳ مورد دیگر

Sancho Salcedo Sanz is a Full Professor at the Universidad de Alcalá, affiliated with the Signal Theory and Communications Department and the GHEODE Research Group. His work focuses on applying machine learning and optimization techniques to energy systems, climate science, and environmental modeling. He holds PhDs from Universidad Complutense de Madrid (2019) and Universidad Carlos III de Madrid (2002). Key research interests include deep learning for energy price prediction, spatio-temporal climate analysis, and hybrid models for renewable energy forecasting. His GHEODE group develops optimization algorithms for network design and distributed systems. Recent publications highlight advancements in extreme weather prediction, smart grid optimization, and explainable AI for environmental monitoring. He has pioneered methodologies like Autoencoder-based flow analogues for heatwave reconstruction and multi-method ensembles for energy demand modeling. Labs/Teams: Leader of the GHEODE Group, specializing in modern heuristics and network design. Collaborates extensively on interdisciplinary projects combining AI with environmental and engineering applications.

• Computer Vision
• Machine Learning
• Video Analysis
• +۵ مورد دیگر

Prof. Laura Leal-Taixé is an Associate Professor at the Technical University of Munich (TUM) leading the Dynamic Vision and Learning group. She holds the Rudolf Mößbauer Tenure Track Chair, promoted from a 2017 Tenure Track Assistant Professorship. Her work focuses on advancing computer vision and machine learning, particularly in video analysis, multi-object tracking, and autonomous systems. She received a Sofja Kovalevskaja Award (2017) for her project socialMaps, which integrates dynamic social data into traffic modeling. Education: B.Sc./M.Sc. in Telecommunications Engineering, Technical University of Catalonia (UPC), Barcelona Ph.D. in Information Processing, Leibniz University Hannover (2014) Postdoc at ETH Zurich (2014–2016), and Senior Researcher at TUM’s Computer Vision Group (2016–2019) Research Interests: Multi-object tracking and segmentation in videos Motion analysis and semantic segmentation for autonomous driving Deep learning for video understanding Social dynamics modeling in urban environments Awards & Grants: €1.65M Sofja Kovalevskaja Award (Humboldt Foundation, 2017) DAAD Australia-German Joint Research Scheme (2017) Multiple travel grants from CVPR and Women in Computer Vision Labs & Collaborations: Dynamic Vision and Learning Group at TUM Collaborations with ETH Zurich, Northeastern University, and NVIDIA

Daniel Carruthمشاهده پروفایل

دانشیار

• Autonomous Vehicles
• Human-Computer Interaction
• Military Technology
• +۴ مورد دیگر

Daniel Carruth is the Associate Director for Advanced Vehicle Systems at the Center for Advanced Vehicular Systems (CAVS) and an Associate Research Professor at Mississippi State University. Education: B.S. in Computer Science and Engineering (2001), Ph.D. in Psychology (2008) from Mississippi State University Research Leadership: Co-chair of NATO AVT-408 Task Group, founder of SAMS AGV Summit, and lead for ASAM standards on off-road autonomous vehicle simulation Labs: Oversees CAVS DRIVE Lab, Collaborative Lab, and Electronics & Sensors Lab Funding: Secured over $25 million from agencies like DoD, USDA, NIJ, and BJA His research focuses on: Modeling and simulation of autonomous military ground vehicles in off-road environments Human interaction with autonomous systems, including cognitive and physical performance analysis Development of virtual environments and test standards for autonomous vehicle validation Applications of unmanned ground vehicles (UGVs) in law enforcement and military contexts Recent publications emphasize LIDAR performance in adverse conditions, neural network training with simulated sensor data, and simulation fidelity requirements for autonomous systems. Roles & Affiliations: Active in NATO panels, ASAM standards development, and interdisciplinary projects at CAVS.

Qin Luمشاهده پروفایل

استادیار

• Signal Processing
• Machine Learning
• Communications
• +۳ مورد دیگر

Qin Lu is an Assistant Professor at the University of Georgia's School of Electrical & Computer Engineering. Her research focuses on robust and adaptive Bayesian methods for decision-making using sequential/networked data, including online Gaussian processes, Bayesian optimization, reinforcement learning, and spatio-temporal inference over graphs. Applications span autonomous systems and mobile edge computing. Education details are not explicitly listed in the provided text. Her work emphasizes scalability and uncertainty quantification, with contributions to edge computing resource management, active learning strategies, and multi-agent systems in IoT. Recent publications highlight advancements in Gaussian process dynamical modeling, adaptive Bayesian optimization, and ensemble learning techniques for online systems. No scientific awards are mentioned in the provided materials. Advising and grants details are not provided, though her research indicates collaborations in autonomous systems, underwater acoustics, and sensor networks. She is affiliated with the Boyd GSRC building and reachable at Qin.Lu@uga.edu.

Alexey Petrovمشاهده پروفایل

دانشیار

• Translational Biology
• Ribosome Function
• Protein Synthesis
• +۷ مورد دیگر

Alexey Petrov is an Associate Professor in the Department of Biological Sciences at Auburn University, affiliated with the College of Sciences and Mathematics. His research focuses on the molecular mechanisms of protein synthesis, particularly ribosome dynamics and translational regulation. His research interests lie at the intersection of biochemistry, biophysics, and molecular biology. He investigates how ribosomes achieve high-speed and high-fidelity protein synthesis, how mRNA structure and modifications regulate translation, and how viral elements hijack the translational machinery. His lab employs cutting-edge single-molecule fluorescence techniques and biochemical assays to dissect these processes in real time. The recent publications highlight a strong focus on ribosome translocation, initiation, elongation fidelity, and the impact of mRNA modifications such as 2′-O-methylation and m6A on translation dynamics. His work frequently involves the study of viral internal ribosome entry sites (IRES), providing insights into alternative translation mechanisms. The research is characterized by a deep mechanistic and kinetic understanding of translation, often revealing multiple parallel pathways and dynamic conformational changes. Alexey Petrov received his B.S. from Moscow State University, Russia, followed by a Ph.D. from the University of Maryland, College Park, under Dr. Jonathan Dinman. He completed his postdoctoral training with Dr. Joseph D. Puglisi at Stanford University, where he pioneered single-molecule studies of translation. Postdoctoral fellow with Dr. Joseph D. Puglisi, Stanford University Ph.D. with Dr. Jonathan Dinman, University of Maryland, College Park B.S., Moscow State University, Russia He leads an active research group within Auburn University's Biophysics Cluster, established in 2017. His lab is dedicated to advancing the single-molecule toolbox by developing new instrumentation and data analysis pipelines to make these powerful techniques more accessible. While specific grants are not listed, his publication record in top journals suggests a well-funded and productive research program. He mentors students and postdoctoral researchers in biochemical and biophysical methods, contributing to the training of the next generation of scientists.

Joachim Kopkaمشاهده پروفایل

استاد پژوهشی

• Metabolome Analysis
• Fluxome Analysis
• Plant Physiology
• +۴ مورد دیگر

Dr. Joachim Kopka is a Research Group Leader at the Max Planck Institute of Molecular Plant Physiology in Potsdam, Germany, where he heads the Applied Metabolome Analysis group. His research focuses on developing cutting-edge technologies for metabolome and fluxome analysis, particularly GC-EI-TOF-MS-based metabolite profiling and stable isotope labeling techniques. He investigates plant physiological responses to environmental stimuli, with emphasis on root metabolism and stress adaptation mechanisms. Kopka completed his Staatsexamen (1988) and PhD (1992) at Wilhelms University of Münster, followed by postdoctoral research in the USA and Germany. He co-founded Metanomics GmbH before joining MPI-MP in 1996, where he established his research group in 2001. He received his Habilitation from the University of Potsdam in 2009. His research integrates metabolomics, isotope labeling, and computational biology to study: Metabolic plasticity in response to environmental changes Development of GC-MS and data analysis pipelines (e.g., TagFinder software) In vivo stable isotope labeling for flux phenotyping Plant-microbe interactions and stress physiology Kopka's recent publications demonstrate strong emphasis on metabolic adaptations to abiotic stresses (drought, cold), plant-microbiome interactions, and advanced analytical methodologies. His work frequently combines metabolomics with proteomics and transcriptomics to unravel complex plant physiological processes. He leads infrastructure development for metabolome analysis and maintains collaborative projects across plant science disciplines. His group contributes to public resources like the Golm Metabolome Database (GMD), facilitating metabolite identification and data sharing in the scientific community.

Catherine Faronمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Management
• Semantic Web
• +۸ مورد دیگر

Catherine Faron is a Full Professor at Université Côte d'Azur , affiliated with the I3S laboratory and Inria center . She serves as vice-head of the Wimmics joint research team and leads the Artificial Intelligence and Data Engineering (IAID) program at Polytech Nice Sophia engineer school. Habilitation à diriger les recherches (HDR) in Computer Science, UCA (2017) PhD in Computer Science, Univ. Paris 6 (1997) Her research focuses on Artificial Intelligence , particularly in Knowledge Representation and Reasoning (KRR) and Semantic Web technologies. She develops hybrid intelligent systems combining KRR with machine learning for knowledge extraction, integration, and exploitation across education, health, and digital humanities. Recent publications highlight her work on: 2025 : Knowledge graphs for historical zoological data 2024 : Semantic annotation frameworks in agronomy 2023 : Agricultural data mapping and medical record enrichment 2022 : Visual exploration of big linked data Scientific recognitions include: 2023: Best Paper Award, ESWC 2017: Scientific Excellence Award, UCA 2016: Best Demo Award, ISWC 2015: Best Paper Award, IC 2008: Best PhD Paper Award, ECPPM She has supervised 19 PhD/Master's students and leads/has led projects like D2KAB , DEKALOG , and ZOOMATHIA , with partnerships across academic and industrial institutions.

Wenfei Fanمشاهده پروفایل

استاد

• Database Theory
• Data Science
• Information Visualization
• +۹ مورد دیگر

Wenfei Fan holds the Personal Chair in Web Data Management at the School of Informatics, University of Edinburgh . He is affiliated with the Database Group , LFCS (Laboratory for Foundations of Computer Science), Bell Labs , and the International Research Center on Big Data at Beihang University. His research spans database theory, data science, and big data systems. PhD in Computer and Information Science, University of Pennsylvania, USA MS in Computer Science, Peking University, China BS in Computer Science, Peking University, China His research interests focus on database theory and systems , including big data, data quality, data integration, database security, distributed query processing, query languages, social networks, and XML. He has pioneered techniques for graph pattern matching, data dependencies, and scalable algorithms. Recent publications emphasize graph data management , rule-based systems , and ML-data quality integration . Key themes include incremental computation, GPU-accelerated graph cleaning, entity linking, and logic-driven ML. Articles like 'Rock' and 'MiniClean' demonstrate hybrid approaches for real-world data challenges. Fellow of the Royal Academy of Engineering (FREng), 2023 Foreign Member, Chinese Academy of Sciences (ForMemCAS), 2019 Fellow of the Royal Society (FRS), 2018 ERC Advanced Fellowship, 2015 ACM Fellow (FACM), 2012 Roger Needham Award, 2008 He leads the ERC project: Resource-Bounded Graph Query Answering and contributes to systems like GRAPE and GraphScope , which parallelize sequential algorithms and process large graphs. He mentors students and collaborators globally, with a focus on data quality and graph analytics.

Sarita Malikمشاهده پروفایل

استاد

• Cultural Diversity in Creative Industries
• Race and Ethnicity Representation
• Public Service Broadcasting Policy
• +۵ مورد دیگر

Professor Sarita Malik serves as Associate Pro Vice Chancellor – Research Impact and Professor of Media, Culture and Communications at Brunel University London's College of Business, Arts and Social Sciences. She leads the Social and Political Sciences division with expertise spanning cultural theory, media sociology, and screen studies since her 2016 professorial appointment. Education: PhD in Sociology (Open University) - AHRB collaborative studentship at British Film Institute supervised by Stuart Hall MA in Film and Television Studies (University of Warwick) BA (Hons) in English and Media (Sussex University) Malik's research centers on inequality, representation, and participation within cultural and technological contexts, with pioneering contributions to diversity frameworks in creative industries since the 1990s. Her work critically examines racialized terminology in organizational cultures, diasporic cinema, and community-based creative activisms. Current projects analyze longitudinal BFI diversity standards data and screen sector racial inequality through Guardian/BFI collaborations. Her publications reveal consistent focus on cultural policy evolution, Black British representation, and grassroots resistance methodologies. Recent works demonstrate increasing emphasis on data-driven diversity analysis while maintaining critical race theory foundations. Major projects like Creative Interruptions (2014-2020) showcase transnational comparative approaches across UK, Palestine, Northern Ireland, and India. Key Awards: BAFTSS 2024 Outstanding Achievement Award Fellow of the Royal Society for the Encouragement of Arts (FRSA) REF 2021 Sub-Panel 34 Membership DCMS College of Experts Appointment (2022) As principal investigator on four Connected Communities projects and multiple AHRC grants exceeding £1.5M, Malik champions collaborative knowledge exchange between academic, community, and policy stakeholders. Her supervision of six doctoral researchers reflects commitment to developing critical race scholarship. The Creative Interruptions project established a transnational network examining arts-based resistance to marginalization through co-created methodologies. Research Infrastructure: Leads the Creative Interruptions consortium with British Film Institute partnerships, maintaining longitudinal datasets on UK film sector diversity through Guardian collaborations. Current work develops frameworks for analyzing institutional diversity moral economies through intersectional lenses.

Ashkan Pak Sereshtمشاهده پروفایل

استادیار

• Innovation Management
• Technology Strategy
• Circular Economy
• +۸ مورد دیگر

Dr. Ashkan Pak Seresht is an Assistant Professor in Strategy and Innovation at Brunel Business School, Brunel University London, and a lecturer in International Business Economics. With a multidisciplinary background (PhD in Business Economics, MSc in Economics and Management, MBA in International Business, BSc in Engineering), he specializes in sustainability, blue economy, circular economy, and technology integration into business practices. Lecturer in International Business Economics Assistant Professor in Strategy and Innovation Education: BSc in Engineering MBA in International Business MSc in Economics and Management PhD in Business Economics CMBE Certified Management & Business Educator (2024) i5 PRME Certificate of Engagement (2024) Fellowship of the Higher Education Academy (FHEA) (2024) Research Interests: Dr. Pak Seresht focuses on innovation management in domestic and international business, digitalization of multinational enterprises (MNEs) and SMEs, and circular/sustainable business models in agri-food supply chains. His work explores the intersection of blockchain, AI, IoT, and big data with supply chain sustainability, as well as consumer behavior toward cultured meat and insect-based aquafeed. Recent Research Trends: His recent publications emphasize blockchain applications in circular economy transitions, consumer evaluation of sustainable food technologies, and institutional distance in international trade. Key projects include co-leading Brunel's Blue Bioeconomy Research Lab and investigating blockchain's role in Swedish food supply chains. Scientific Awards: Fellowship of the Higher Education Academy (FHEA) 2024 i5 PRME Certificate of Engagement (2024) CMBE Certified Management & Business Educator (2024) Teaching & Supervision: He teaches undergraduate and postgraduate courses in economics for business, international trade, strategic management, and entrepreneurship. As module leader of MG2012 Economics for Business and Management and programme leader for International Business and Entrepreneurship, he supervises BSc, MSc, and PhD theses. Current PhD projects include research on agroforestry in sustainable agriculture and digital twins in energy systems. Labs & Teams: Dr. Pak Seresht co-leads Brunel's Blue Bioeconomy Research Lab and collaborates with institutions like SLU University (Sweden), Novia University of Applied Sciences (Finland), and Swinburne University (Australia). His research network includes Dr. Georgios Batsakis, Dr. Carolin Decker-Lange, and Professor David Gallear.

• Theory of Computation
• Discrete Algorithms
• Theoretical Computer Science
• +۵ مورد دیگر

Michael Saks is a Distinguished Professor of Mathematics at Rutgers, The State University of New Jersey . He is affiliated with both the Department of Mathematics and the Computer Science Department as a graduate faculty member. His research focuses on theory of computation and discrete algorithms , with applications in computational complexity, combinatorics, and algorithmic analysis. His recent publications include work on edit distance approximations , randomized algorithms , discrepancy of random matrices , and Boolean function analysis , reflecting a strong emphasis on theoretical foundations. He has contributed to journals such as Combinatorica , Journal of Graph Theory , and Discrete Applied Mathematics , and served on editorial boards and conference program committees, including the 2014 IEEE Conference on Computational Complexity . Michael Saks maintains active research and teaching pages , including guidance for graduate applicants and links to seminars like the Discrete Mathematics/Theory of Computing Seminar . He also participates in initiatives such as the Center for Computational Intractability and DIMACS .

Lars-Henrik Erikssonمشاهده پروفایل

مدرس ارشد

• Formal Methods
• Logic in Computer Science
• Programming Language Theory
• +۷ مورد دیگر

Lars-Henrik Eriksson is a Senior Lecturer in the Department of Computer Science at Uppsala University, part of the Department of Information Technology. He holds a PhD and is recognized as an Excellent Teacher and educational mentor. He currently serves as the program director for the Master's program in Computer Science and has previously held leadership roles, including Head of the Department of Computer Science from 2004 to 2018. PhD in Computer Science Excellent Teacher Award Pedagogical Mentor at Uppsala University His research focuses on the applications of logic in computer science, particularly formal methods for software development. His work spans formal specification, verification, and synthesis, with strong emphasis on logic programming, interactive theorem proving, and logical frameworks. He has made significant contributions to the use of formal methods in safety-critical domains such as railway signaling. His current research includes modeling application domains within formal methods and formalizing concurrency theory using the Isabelle proof assistant. The recent publications reflect a sustained focus on modal logics for nominal transition systems, formal verification tools (e.g., GTO), and domain-specific applications of formal methods. These works demonstrate deep integration of theoretical logic and practical software engineering, especially in distributed and safety-critical systems. The recurring themes include concurrency, verification, and the use of domain models to enhance formal reasoning. Scientific Awards and Recognitions: Excellent Teacher Pedagogical Mentor Lars-Henrik Eriksson has advised numerous students through project supervision, thesis reviews, and course mentorship, though no formal list of advisees is provided. He has been involved in significant research management, including leading the department and directing a master’s program. He has also collaborated with industry, particularly in railway signaling, contributing to safety analysis and formal verification projects with Trafikverket and through companies he co-founded. He is a board member of Formal Methods Europe and served as program committee chair for the FME Symposium 2002 (part of FLoC’02). His work bridges academia and industry, especially in the application of formal methods to real-world engineering challenges.