Professor Odd Jarl Borch is a prominent academic at Nord University specializing in emergency preparedness, crisis management, and Arctic security. His work bridges theoretical research with practical implementation through international collaborations and policy contributions. Education: Harstad Gymnasium Norwegian School of Economics Umeå University, Sweden Indiana University, USA Bodin Maritime College Professor Borch's research focuses on emergency preparedness systems in high-complexity environments, particularly in the Arctic region. His work examines civil-military cooperation, hybrid threats, and organizational management during crises. He has pioneered research on maritime safety in polar regions and developed frameworks for cross-border emergency response coordination. His approach integrates theoretical organizational models with practical crisis management applications, emphasizing the unique challenges of Arctic operations. His recent publications (2020-2024) reveal a strong trajectory toward hybrid threat analysis and collaborative security frameworks. The research consistently addresses Arctic-specific challenges while developing universally applicable emergency response models. Key themes include virtual network intelligence, civil-military coordination mechanisms, and structural adaptations for high-complexity environments. His work demonstrates increasing emphasis on digital transformation in emergency management and the evolving nature of security threats in polar regions. Professor Borch leads significant research initiatives including the NORDLAB Center for Emergency Preparedness and Cooperation and coordinates a network of 25 European researchers on civil-military preparedness. He has initiated major international collaborations such as the Arctic Safety and Security network with 22 universities and the ARCSAR innovation network. His practical impact extends to public service through membership on the Corona Commission, the Total Emergency Preparedness Commission, and the cruise industry safety investigation committee. He has supervised numerous bachelor's, master's, and PhD students in organization and management subjects related to security and crisis management. His teaching portfolio includes fisheries economics, vessel operations, financial management, and crisis management. Professor Borch's laboratory work centers on the NORDLAB emergency management facility, which conducts advanced simulation training for Arctic emergency response professionals.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۷۲۱-۷۳۵ از ۷٬۰۸۲ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Heyuan Shiمشاهده پروفایل
دانشیار
Heyuan Shi is an Associate Professor at the School of Electronic Information, Central South University since 2023. He earned his B.S. (2015) and Ph.D. (2020) from Central South University and Tsinghua University respectively. His research focuses on software quality assurance with emphasis on kernel fuzz testing , open source software security , and AI application security . Presided over 10+ projects including NSFC General Program (No.62472448) and National Key R&D Sub-Project Published 30+ CCF-A/B papers across software security, machine learning, and quantum testing Supervised 15+ graduate students in software quality assurance areas His recent 2024-2025 publications demonstrate expertise in: LLM-enhanced patch classification Quantum neural network verification Hypergraph adversarial attacks RTOS fuzzing techniques Scientific recognition includes: 2024 Beijing Science & Technology Progress Award (First Prize) Hunan Province Xiaohe Sci-Tech Talent (2023) China Association for Science & Technology Young Talent (2025-2027) Active in academic service as PC member for FM2024 and reviewer for IEEE Transactions journals. Leads industry collaborations with Alibaba and Beijing Institute of Aerospace Metrology.
Jan G. Bjaalie is Professor of Neuroinformatics and Dean of Research and Innovation at the University of Oslo Faculty of Medicine . Since 2023 he heads the faculty’s research and innovation strategy, while directing the Neural Systems and Graphics Computing Laboratory at the Institute of Basic Medical Sciences. Education: 1990 Ph.D. in Neuroanatomy, University of Oslo 1986 M.D., University of Oslo Research interests revolve around collaborative and open neuroscience, digital brain atlasing, and the cyber-infrastructures that enable data sharing. He leads efforts to build next-generation atlases that integrate multi-scale brain architecture and connectivity data, and to develop ontologies and FAIR-compliant platforms for global neuroscience. Recent work emphasizes in silico integration of rodent and human imaging datasets, leveraging machine-learning registration tools and cloud-based services such as EBRAINS. The goal is to transform how brain data are stored, visualised and reused across laboratories worldwide. Scientific output & impact: A scan of publications from 2023-2025 reveals a strong focus on digital atlas frameworks, automated image registration (DeepSlice, DeMBA), open data standards (AtOM ontology), and large-scale analyses of genetic influences on brain structure in Alzheimer’s models. These works collectively advance reproducible, high-throughput neuroanatomy and cross-species translation. Grants & leadership roles: Coordinator/Partner in EU Flagships EBRAINS 2.0, BRAIN Health, Human Brain Project (2013-2026) Infrastructure Director, Human Brain Project (2018-2023) Leader of Neuroinformatics Platform & EBRAINS Data Services (2017-2023) Head of Institute of Basic Medical Sciences (2009-2016) Executive Director, International Neuroinformatics Coordinating Facility (INCF) (2006-2008) Chair, International Brain Initiative (2021-) Editorial & governance service: Founding Chief Editor Frontiers in Neuroinformatics (2007-), Section Editor Brain Structure and Function (2002-2020), member of the INCF Governing Board and EBRAINS AISBL Management Board, and numerous international advisory panels on data governance and ethics. His laboratory hosts the Norwegian Neuroinformatics Node and collaborates closely with global consortia to deliver open-access atlases, software pipelines and FAIR data standards that underpin modern neuroscience.
Brett Blighمشاهده پروفایل
مدرس ارشد
Brett Bligh is a Senior Lecturer at Lancaster University's Department of Educational Research and Director of the Doctoral Programme in E-Research and Technology Enhanced Learning. His work focuses on technology-driven institutional change in post-compulsory education through Activity Theory and interventionist methodologies like the Change Laboratory. Current roles: Director of Teaching for Department of Educational Research Leadership in International Society for Cultural-historical Activity Research (ISCAR) Co-editorships: Studies in Technology Enhanced Learning, Bureau de Change Laboratory Research interests center on: Digital transformation in higher education Activity theory applications Change Laboratory interventions Technology-enhanced learning frameworks His recent publications analyze: Open Educational Practices (2025) Virtual sustainability initiatives (2025) Pandemic-era educational pivoting (2022) Networked learning frameworks (2023) He supervises numerous PhD students (20+) working on: AI integration in teaching Blended learning communities Logistics education reform Medical professional identity
Tijs Slaatsمشاهده پروفایل
دانشیار
Tijs Slaats is an Associate Professor in the Software, Data, People & Society section at the Department of Computer Science, University of Copenhagen. His research focuses on Business Process Management with particular emphasis on declarative and hybrid process notations to provide flexible workflow support for knowledge workers, funded by the Danish Council for Independent Research. His educational background includes: M.Sc. in Information Technology from IT University of Copenhagen Ph.D. in Computer Science from IT University of Copenhagen (supervised by Thomas Hildebrandt) Dr. Slaats specializes in declarative process modeling, particularly Dynamic Condition Response (DCR) graphs which enable flexible workflow systems. His work bridges theoretical foundations with practical applications in cross-organizational settings. Recent research extends into blockchain technologies, smart contracts, and applications in sensitive domains like asylum processing and refugee law. He combines formal methods with empirical evaluation to ensure both correctness and usability of workflow systems. His publication pattern shows increasing application of process mining techniques to blockchain technologies and socially impactful domains, while maintaining core research in Business Process Management. Notable trends include integration of DCR graphs with smart contracts, privacy-preserving techniques for asylum data, and object-centric approaches to process discovery. Research funding includes: Hybrid Business Process Management Technologies project (Danish Council for Independent Research) Technologies for Flexible Cross-organizational Case Management Systems (FLExCMS) industrial Ph.D. project Alongside his academic work, Dr. Slaats maintains strong industry connections through Exformatics A/S where he developed the DCR Graphs workflow solution (www.dcrgraphs.net), and previously worked as a software engineer in the Dutch e-commerce sector. His dual expertise in academia and industry ensures his research addresses real-world workflow challenges while maintaining theoretical rigor.
Peter McBrienمشاهده پروفایل
دانشیار
Peter McBrien is an Associate Professor in the Department of Computing at Imperial College London, affiliated with the Faculty of Engineering. He holds dual affiliations with the Distributed Software Engineering group. His research focuses on conceptual modeling, ontology engineering, database systems, and temporal data management. He has been active in advancing techniques for data visualization, semantic web technologies, and relational database integration. Key research areas include: Ontology extraction from relational databases Type inference in transactional systems Schema transformation between heterogeneous models Peer-to-peer data integration protocols Temporal database systems His publication trends emphasize integration of heterogeneous data sources through formal methods, with notable contributions to OWL ontology implementation, hypergraph data models, and benchmarking big data query languages. Recent work focuses on Spark-based semantic reasoning and distributed knowledge exchange systems. Peter McBrien's research has been supported through Imperial College's infrastructure, with ongoing contributions to the AutoMed data integration framework and RoDEx protocols for unreliable networks. His work bridges theoretical foundations of data management with practical implementations in distributed systems.
Carmen Martinez Vargas is a Lecturer in Education and Social Justice at Lancaster University's Faculty of Arts and Social Sciences, within the Department of Educational Research. Her work focuses on decolonial and post-colonial perspectives in higher education, participatory research methodologies, and the Capability Approach. She explores how indigenous knowledge systems contribute to community well-being and advocates for sustainable educational futures informed by Pan-African philosophies. Her research integrates Southern thinkers' ideas with Western frameworks, emphasizing structural oppression analysis through 'Colonial Conversion Factors.' Key projects include co-researching with students on university sustainability and analyzing indigenous university programs' societal impact. She has published a groundbreaking open-access book, Democratising Participatory Research: Pathways to Social Justice from the South , and leads the Centre for Social Justice and Wellbeing in Education. Recent publications (2023–2025) examine dignity in lifelong learning, decolonial identity dynamics, and Ubuntu philosophy in South African education. Her work bridges theory and practice, addressing epistemic justice and educational equity through participatory frameworks. She supervises PhD candidates exploring decolonial methodologies and educational inequalities, fostering a new generation of critical scholars.
R. Manmathaمشاهده پروفایل
استاد مدعو
R. Manmatha is an Adjunct Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst and a Principal Scientist at Amazon A9 since 2013. His academic journey includes a Ph.D. in Computer Science from University of Massachusetts Amherst (1997), an M.S. in Electrical Engineering from University of Hawaii (1986), and a B.Tech in Electrical Engineering from Indian Institute of Technology Kanpur (1983). Research Interests Manmatha's work spans Computer Vision , Information Retrieval , and Document Analysis . Key projects include: Developing Vision-Language Models for GUI grounding and OCR-free document understanding Creating Word Spotting techniques for historical manuscripts like George Washington's papers Advancing Image Retrieval through statistical and relevance models Building Meta Search systems using score distribution analysis Optimizing Diffusion Transformers for text-to-image generation Scientific Contributions His research has led to numerous publications in conferences like SIGIR , CVPR , and ICDAR , focusing on: Automatic Image Annotation using cross-media relevance models Scale Space Techniques for handwritten manuscript segmentation Alignment Methods for document-groundtruth generation Indian Language Document Search via locality-sensitive hashing Transformer-based architectures for multimodal and document tasks Advising & Collaborations Manmatha has mentored students including Jiwoon Jeon , Shaolei Feng , Toni Rath , Jamie Rothfeder , and Nitin Srimal . He co-founded Snaptell (acquired by Amazon) and contributed to Amazon's mobile search technology. Labs & Teams He leads the Multi-media Indexing and Retrieval (MIR) group at the Center for Intelligent Information Retrieval (CIIR) , focusing on non-textual information indexing through ASCII conversion and direct content analysis.
Prof. Fleur Deken is a Full Professor of Strategy, Technology & Innovation at Vrije Universiteit Amsterdam and holds a University Research Chair. She serves as Vice-Dean of Research at the School of Business and Economics. Her work focuses on mission-oriented innovation, innovation ecosystems, and interorganizational collaboration, particularly in addressing societal challenges through strategic experimenting with digital technologies. Education: PhD (cum laude, TU Delft), MSc Strategic Product Design (TU Delft), BSc Psychology (UvA), BSc Industrial Design Engineering (TU Delft), and a minor in Business Admin (NUS). Research emphasizes routine dynamics, process research methods, and open science. She leads projects with Philips, BSH, and public institutions like the City of Amsterdam, focusing on innovation ecosystems and fieldlabs. Key grants include €1.5M NWO KIC Mission Driven Innovation and NWO Veni awards. Teaching roles include coordinating the BSc International Business Admin program (2020–2024) and executive courses on innovation management. Editorial roles include Academy of Management Journal and Strategic Organization. Notable contributions include studies on healthcare ecosystems, temporal coordination in smart city projects, and reusing qualitative data for open science. Her work spans management, strategy, innovation studies, and design disciplines.
Prof. Tanya Bondarouk is a distinguished academic affiliated with the Digital Society Institute and Faculty of Behavioural, Management and Social Sciences at the University of Twente. Her research focuses on Human Resource Management (HRM), electronic HRM systems, and the impact of disruptive technologies on work environments. She holds leadership roles including Board Member of the National Network of Female Professors (Landelijk Netwerk Vrouwelijke Hoogleraren). Her academic contributions span over 250 publications, including influential works on AI in HRM, open innovation, and gig economy challenges. Notable awards include the Best HRM Scientist in The Netherlands (2018) and the Inspiration Award (2019). Research interests: Technology-human interaction in workplaces, HRM strategies for innovation, and digital transformation in organizations. Recent articles analyze AI-driven recruitment, generational differences in tech engagement, and algorithmic management dilemmas. Prof. Bondarouk actively engages in academic networks, organizing conferences like the 38th EGOS Colloquium (2022), and provides expert commentary on digital labor platforms and employer branding strategies. Her work bridges theoretical HRM frameworks with real-world organizational challenges.
Niamh Mooreمشاهده پروفایل
مدرس ارشد
- ecofeminism
- feminist theory
- research ethics
- +۱۱ مورد دیگر
Niamh Moore is a Senior Lecturer in Sociology at the School of Social and Political Science, University of Edinburgh. Her work spans multiple interdisciplinary fields including ecofeminism, feminist theory, research ethics, and sustainability studies. She is actively involved in community-based participatory research and has established herself as a leading scholar in more-than-human research approaches. Moore's research interests center on 're-visioning' an eco/feminist politics of sustainability through three interrelated foci: (i) sustaining a more-than-human world, (ii) sustaining research and research data, and (iii) sustaining communities and movements (feminism). Her holistic approach links environmental sustainability with human and non-human health and well-being, exploring how research practices might be reworked to sustain a more-than-human world. She has particular expertise in ecofeminism, feminist theory, ethics and research practices, sustainability, women's movements, archives, research methodology, oral history, community-based participatory research, queer theory, interdisciplinary research, transdisciplinary research, and narrative research. Moore has supervised numerous PhD students, both current and completed, reflecting her commitment to mentoring the next generation of scholars. Her current PhD students include Thalia Assan, Nyrema Baptiste, Lara Bochman, Ruth Griggs, Emma Grove, Nuria Lopez Vazquez, Andy Marks, Tara Peggram, and Claire Perier. Her completed PhD students include Katherine Baxter, Shelly Coyne, Martina Karels, Maggie Morrison, Nathalia Salamanca Sarmiento, and Laura Wright. She is keen to supervise students interested in ecofeminism, feminist histories, queer studies, community food growing, sustainability, activism, grassroots and community archives, as well as those with interests in methodologies including oral history, archival research, visual methods, community-based participatory research, and more-than-human approaches to research. Her recent publications show a clear trajectory toward innovative approaches to data ethics and archiving, particularly through her ESRC-funded project 'Reanimating Data: Experiments with people, places, archives' and the 'Clayoquot Lives: An Ecofeminist Story Web' open dataset. Moore's work increasingly focuses on DIY academic archiving, inventive ethics of care, and rematriating feminist research, reflecting her commitment to unsettling traditional research practices and creating more ethical, community-centered knowledge production. Clayoquot Lives: An Ecofeminist Story Web - an open access online archive including 30 oral history interviews Reanimating Data: Experiments with people, places, archives - ESRC-funded project The WRAP project - focusing on rematriating feminist research
- Curatorial Studies
- Art History
- Cultural Studies
- +۴ مورد دیگر
Victoria Walsh is a Professor at the Royal College of Art (RCA) within the School of Arts & Humanities. She holds a PhD from Oxford Brookes University and MA degrees in Art History (Courtauld Institute) and Curating (RCA). Her career spans curation, research, and academia, with roles including Head of Public Programmes at Tate Britain (2005–2011) and project management for high-profile exhibitions like Tate Modern’s opening. Currently, she leads interdisciplinary research projects such as the EU-funded MeLA initiative, exploring museums in the context of migration, and contributes to Tate’s 'Art School Educated' project on UK art education. Her research focuses on curatorial practice, museum studies, and interdisciplinary methodologies. Key projects include reconstructing the Independent Group’s 'Parallel of Life and Art' exhibition and co-editing publications like *Post-critical Museology: Theory and Practice in the Art Museum* (2012). She has supervised numerous research students and collaborates with institutions like MACBA (Barcelona) and Kingston University as an external examiner. Victoria’s work bridges art history, visual culture, and social sciences, emphasizing practice-based research and critical engagement with contemporary cultural challenges. Her contributions span exhibitions, academic writing, and institutional reform, reflecting a commitment to redefining museum roles in globalized contexts.
Ernesto Jiménez-Ruizمشاهده پروفایل
مدرس ارشد
Dr. Ernesto Jiménez-Ruiz is a Senior Lecturer in Artificial Intelligence and Director of Research at City, University of London. He holds a PhD from Jaume I University, Spain (2010), and has held academic positions since 2010. His research focuses on knowledge graphs, ontology alignment, semantic web technologies, and neuro-symbolic AI. Currently, he teaches modules on semantic web technologies and research methods. He leads the Research Center affiliated with City St George's, University of London. Administrative Roles: Director of Research (2024–present), Senior Tutor for Research (2023–2024) Research Interests: AI, knowledge representation, ontology alignment, semantic integration, and biomedical informatics. His work bridges machine learning and symbolic reasoning, with contributions to ontology matching and knowledge graph embeddings. He supervises PhD students in areas like knowledge graph alignment and neuro-symbolic systems. Awards: SWSA Ten-Year Award (2021) for influential ontology alignment work. He is a Fellow of AdvanceHE (FHEA). Grants & Collaborations: Leads projects on semantic industrial data modeling and collaborates with Samsung Research UK, Bosch, and Statoil. Active in initiatives like the Turing Institute's Knowledge Graph Interest Group.
- Regional Innovation Systems
- Economic Geography
- Knowledge-Intensive Business Services (KIBS)
- +۴ مورد دیگر
David Doloreux is a Professor at HEC Montréal's Department of International Business, holding the Chair in Innovation and Regional Development. He specializes in regional innovation systems, economic geography, and knowledge-intensive business services. His research focuses on how regional policies, urban contexts, and industrial clusters drive innovation, particularly in peripheral regions and emerging industries like craft brewing and AI. Education: PhD in Urban and Regional Planning (University of Waterloo), MSc in Economic Geography (Université de Montréal), BSc in Economic Geography (UQÀM). Research interests include analyzing the micro-geographic factors influencing knowledge exchanges, the role of KIBS in innovation processes, and the strategic development of regional industries. He has supervised 13 master's theses and numerous projects on topics ranging from innovation in SMEs to regional policy design. His recent work explores the interplay between location, innovation modes, and policy frameworks, with notable contributions to understanding Montreal's AI cluster emergence and Quebec's peripheral regions' industrial dynamics. Awards include recognition as one of HEC Montréal's most influential researchers (2022–2024).
- Robotics
- Artificial Intelligence
- Cognitive Science
- +۷ مورد دیگر
Sao Mai Nguyen is an Enseignante-Chercheuse (Lecturer-Researcher) at ENSTA Paris, affiliated with the Unité d'Informatique et d'Ingénierie des Systèmes (U2IS). Her research bridges robotics, artificial intelligence, and cognitive science, focusing on cognitive developmental robotics, intrinsic motivation in learning, and human-robot interaction. She explores how robots can adapt to social and physical environments, particularly in physical rehabilitation and smart home applications. Research Interests: Nguyen’s work integrates machine learning, robotic embodiment, child psychology, and neuroscience. Key areas include human-robot interaction, assistive robotics for chronic low back pain rehabilitation, activity recognition in smart homes using IoT sensors, and intrinsic motivation-driven learning frameworks. Recent Contributions: Her 2024 HDR thesis on reinforcement and imitation learning for sequential tasks underscores her expertise in strategic learning systems. Recent publications address bio-inspired robotics models, hierarchical reinforcement learning, and benchmark environments like 'Open the Chests' for activity recognition. Collaborations include projects like the R-COOL randomized trial for robot-coached physical exercises. Labs & Teams: She contributes to the U2IS lab, advancing interdisciplinary research in AI and robotics. Her work spans experimental platforms for sensorimotor learning and healthcare robotics applications.