جست‌وجوی استاد و پژوهشگر

Julia Rose Gogمشاهده پروفایل

استاد

• Mathematical Biology
• Infectious Disease Modelling
• Epidemiology
• +۳ مورد دیگر

Julia Rose Gog is a Professor of Mathematical Biology at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP). She holds the David N. Moore Fellowship in Mathematics at Queens' College and serves as Deputy Head of DAMTP, Vice President of Queens' College, and Director of the Millennium Maths Project. Her research focuses on infectious disease dynamics, including influenza strain evolution, spatial spread models, and viral bioinformatics. Gog has received numerous awards, including the Royal Society Rosalind Franklin Award (2020), OBE (2020), and the IMA Hedy Lamarr Prize (2023). She contributed significantly to pandemic response through work with SPI-M-O and the JUNIPER partnership. Education & Career: Gog pursued research fellowships at Queens' College and the University of Cambridge's Zoology Department before becoming a University Lecturer at DAMTP (2006–2013). She was a Visiting Fellow at Princeton University (2010–2012). Her roles include leading interdisciplinary initiatives and public engagement in mathematical sciences. Research Interests: Her work integrates mathematical models with epidemiological data to understand pathogen dynamics, with recent projects on SARS-CoV-2 variants, influenza evolution, and Salmonella in vitro dynamics. She develops bioinformatic tools to detect viral RNA signals. Awards: 2023 IMA Hedy Lamarr Prize 2022 Weldon Memorial Prize 2020 Royal Society Rosalind Franklin Award 2020 OBE 2018 Vice-Chancellor's Impact Award Advising & Grants: While no students are listed here, Gog leads research groups and has secured grants for pandemic modelling and pathogen evolution studies. Her work influences public health policy through collaborations like the JUNIPER consortium. Labs/Teams: She co-leads the Disease Dynamics research group at DAMTP and directs the Millennium Maths Project, promoting STEM education.

Kevin M. Stangeمشاهده پروفایل

دانشیار

• Higher Education Policy
• Labor Economics
• Public Economics
• +۳ مورد دیگر

Kevin M. Stange is an Associate Professor of Public Policy at the University of Michigan's Gerald R. Ford School of Public Policy. He specializes in empirical labor and public economics, focusing on higher education policy, labor market dynamics, and public finance. His research explores how higher education impacts student mobility and labor market outcomes, as well as postsecondary institutional responses to skill demand. He co-edits Productivity in Higher Education and leads the College and Beyond II (CBII) Data project, a comprehensive dataset tracking student and institutional behaviors. Education: B.A. in Mechanical Engineering and Economics from MIT, Ph.D. in Economics from UC Berkeley. Research Interests: Higher education policy, economic inequality, public finance, and labor market dynamics. Recent work includes studies on college affordability, policy briefs on pandemic impacts on education, and analyses of college-specific labor markets. Teaching: Courses include Microeconomics, Quantitative Methods of Program Evaluation, and Higher Education Policy. He has taught these courses across multiple semesters, emphasizing empirical analysis and policy application. Affiliations: Co-Director of the Education Policy Initiative and Faculty Research Fellow at the National Bureau of Economic Research. His research is supported by NSF, Spencer Foundation, and others. Key Projects: CBII Data (19 universities, 50M course records), evaluations of state education policies, and analyses of occupational licensing.

Ana Echevarria Arsuagaمشاهده پروفایل

استاد

• Medieval History
• Muslim-Christian Relations
• Iberian Peninsula
• +۷ مورد دیگر

Dr. Ana Echevarria Arsuaga is a leading scholar in Medieval History at Universidad Nacional de Educación a Distancia (UNED), Madrid. She serves as Head of the Department of Medieval History and Paleography since 2020, following academic progression from Assistant Professor (2003-2008) to Tenured Associate Professor (2008-2020). Her international experience includes fellowships at the Ruhr-Universität Bochum (2011) and University of Constance (2015). Current: Full Professor & Department Head at UNED Previous: Academic posts at U. Constance, Ruhr-Universität Education: Degree in Geography and History from Universidad Complutense de Madrid, specializing in Medieval History. PhD in Medieval History from University of Edinburgh on 'The Perception of Muslims in Fifteenth Century Spain' (supervised by Angus MacKay). Postdoctoral research at UNED under José Luis Martín Rodríguez. Research Focus: Specializing in Iberian religious minorities (Mudejars, Moriscos, Mozarabs) and queenship studies. Her work examines legal frameworks for minority communities, interfaith dynamics in medieval Mediterranean, and cross-cultural knowledge transmission. Key projects include EU-funded 'Islamic Legacy' network and Gerda Henkel-funded 'Christian Society under Muslim Rule'. Academic Leadership: Serves on editorial boards of Medieval Encounters , Al-Masaq , and Anales de la Universidad de Alicante . Organized major conferences like the Society for the Medieval Mediterranean (2022) and RELMIN-ERC Advanced Grant Project (2014). Collaborates with leading scholars across Europe and Israel on religious minorities and queenship. Scientific Awards: 2023: Principal Investigator, 'Religious Minorities and Specialized Labour' (Spanish Ministry of Science & Innovation) 2020: Gerda Henkel Stiftung Grant for Canon Collections research 2018: International Recognition for 'Religious Boundaries' publication 2008: Al-Babtain Foundation Award for al-Andalus research Academic Contributions: Supervised 4 completed PhD theses and mentored 9 researchers. Co-organized 7 major international conferences. Peer reviewer for 15+ international journals. Elected member of the Academy of Europe (2023).

Iván Zsolt Berzeمشاهده پروفایل

مدرس

• Environmental Psychology
• Place Identity
• Pro-Environmental Behavior
• +۳ مورد دیگر

Iván Zsolt Berze is a Lecturer at Eötvös Loránd University (ELTE), affiliated with the Institute of People-Environment Transaction and the Environmental Psychology Lab. His research focuses on environmental psychology, place identity, and pro-environmental behavior. He holds a doctoral status in the Doctoral School of Psychology at ELTE and has contributed to studies on environmental worldviews, walkability, and identity orientations. Education: Graduate student in the Doctoral School of Psychology at ELTE. His work includes validating scales for measuring place identity and environmental attitudes, with a particular interest in how identity orientations relate to environmental behaviors. Recent research explores associations between place identity, nature connectedness, and pro-environmental actions. Publications span topics like urban walkability, psychological dimensions of environmental paradigms, and methodological advancements in environmental psychology. His research bridges theoretical and applied aspects of human-environment interactions.

• Refugee Studies
• Climate Change Adaptation
• Public Policy Analysis
• +۳ مورد دیگر

Ehsan Kabir is a Lecturer in Public Service Management at the University of South Wales' Faculty of Business and Creative Industries. His work focuses on displacement studies, climate change impacts, and vulnerable populations in South and Southeast Asia. Kabir has conducted extensive research on Rohingya refugees in Bangladesh, Afghan internally displaced persons (IDPs), and environmental migrants affected by river erosion and drought in Bangladesh. His research employs mixed-method approaches including GIS analysis, remote sensing, and qualitative case studies. Key themes include dignity frameworks in displacement contexts, climate adaptation strategies for coastal agriculture, and the socio-economic dynamics of internal migration. Kabir has contributed to over 20 peer-reviewed publications since 2012, with particular emphasis on Bangladesh's development challenges and humanitarian crises. While no formal awards are listed, his work demonstrates significant contributions to refugee policy analysis and environmental vulnerability frameworks. Teaching responsibilities include public service management modules, while research interests extend to disaster resilience and sustainable development goals implementation in marginalized communities.

• Intelligent Transportation Systems
• Traffic Network Optimization
• Stochastic Demand Modeling
• +۳ مورد دیگر

Kun An is a Professor at the Department of Traffic Information and Control Engineering within the College of Transportation Engineering at Tongji University. She has previously held academic positions at Monash University (Senior Lecturer, 2018–2019; Lecturer, 2016–2018) and conducted postdoctoral research at the University of Illinois at Urbana-Champaign (2015–2016) and The Hong Kong University of Science and Technology (2014–2015). Her academic journey includes a PhD in Civil Engineering from HKUST (2014) and a Bachelor's degree from Tongji University (2009). PhD: Civil Engineering, The Hong Kong University of Science and Technology (2014) Bachelor's: Transportation Engineering, Tongji University (2009) Dr. An specializes in intelligent transportation systems, focusing on optimizing complex traffic networks, characterizing traveler behavior in stochastic environments, and advancing electric vehicle sharing infrastructure. Her research spans urban transit planning, carsharing logistics, battery electric bus deployment, and real-time traffic signal optimization, with applications to mitigate rail disruptions and enhance multimodal connectivity. Her publications emphasize solving transport challenges through stochastic programming, game theory, and behavioral analysis. Key themes include autonomous vehicle integration, demand uncertainty modeling, and sustainable mobility solutions. Awards include the Hong Kong PhD Fellowship and multiple best paper recognitions. Hong Kong PhD Fellowship (2010–2014) TRBADB30 Best Paper Nomination (2014) Best Paper at 18th Hong Kong Transportation Annual Meeting (Second Author, 2013)

• Social Media Analysis
• Misinformation Dynamics
• Machine Learning Applications
• +۵ مورد دیگر

Anees Baqir is an Assistant Professor of Data Science at Northeastern University London, affiliated with the CoMENS Faculty's Data and AI department. He is also a research fellow at the Complex Human Behavior (CHuB) lab at Fondazione Bruno Kessler (FBK), Trento, Italy, contributing to the European-funded AI-CODE project studying misinformation and polarization in social media. His research focuses on analyzing online information dynamics, polarization, and machine learning applications in healthcare, crime prediction, and language processing. Education details are not explicitly provided here, but his work bridges computer science and social sciences through interdisciplinary projects. He is part of the Complex Systems Society and collaborates globally, leveraging Northeastern University's transnational network across 13 campuses in the UK, US, and Canada. Research interests include: (1) Misinformation spread and polarization in digital ecosystems, (2) Machine learning for health analytics and behavioral prediction, (3) NLP innovations for Urdu and multilingual content analysis, (4) Spatio-temporal crime modeling for smart cities, and (5) Computational social science methods for political and societal dynamics. His recent publications span 2020–2025, exploring topics like Twitter-based PTSD detection, Urdu language processing systems, and AI-driven crime prediction. His work frequently intersects technical methodologies with societal impact, such as analyzing polarization in Pakistan’s political discourse or developing frameworks for university course scheduling. He holds no explicitly listed academic awards but is actively involved in research initiatives addressing global challenges like misinformation and public health surveillance. His advisory roles and grant activities are not detailed here, though his CHuB lab affiliation suggests collaborative funding opportunities. Key affiliations include the CHuB lab (FBK, Italy), Complex Systems Society, and Northeastern’s global network. He contributes to projects like AI-CODE, focusing on federated social media analysis and European misinformation trends.

Ruoxu Wangمشاهده پروفایل

دانشیار

• Media Effects
• Strategic Communication
• Communication Technology
• +۳ مورد دیگر

Dr. Ruoxu Wang is an Associate Professor in the Department of Journalism and Strategic Media at the University of Memphis, affiliated with the College of Communication and Fine Arts. She joined the institution in 2017 after earning her Ph.D. from Penn State University and degrees from North Dakota State University. Her research bridges media effects, persuasion, and communication technology within strategic communication contexts, with publications in top journals like Computers in Human Behavior and Mass Communication and Society . Supported by grants such as the Communities of Research Scholars and CCFA Seed Grant, her work emphasizes digital media's societal impact. Education: Ph.D. in Mass Communications, Penn State University M.S. in Mass Communications, North Dakota State University B.A. in Journalism, Broadcasting, & Mass Communication Technologies, North Dakota State University Research Interests: Dr. Wang explores how communication technology shapes media effects and persuasive outcomes. Her focus areas include health communication, digital advertising strategies, user experience in interactive media, and pandemic-era behavioral adaptations. She employs mixed-methods approaches to analyze issues like social media engagement, gaming psychology, and organizational communication in crises. Awards: Top Three Paper Award (MMEE division, AEJMC) 2023 Dean’s Award for Outstanding Research (CCFA) 2021 Top Paper Award (AEJMC Southeast Colloquium) 2020 Multiple teaching/service recognitions including the D. Mike Pennington Mentorship Award (2020) Teaching & Service: Teaches courses like Visual Media, Advertising Research, and Social Media Analytics. Currently serves as Vice Head Elect in AEJMC’s Mass Communication and Society Division. Active in grant-funded research and interdisciplinary collaborations. Labs/Teams: Engaged in cross-departmental projects at the University of Memphis focusing on digital media innovation and strategic communication solutions.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +۵ مورد دیگر

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

• Security of Deep Learning Systems
• Side-Channel Attacks
• Privacy-Preserving Machine Learning
• +۳ مورد دیگر

Dr. Yuanyuan Yuan is a Researcher at the Department of Computer Science, ETH Zurich, Switzerland, based at CNB H 104.1, Universitätstrasse 6, 8092 Zurich. Her work bridges computer security and machine learning with a focus on practical vulnerabilities in deployed AI systems. Her research centers on exposing and mitigating security flaws in deep learning deployments, particularly targeting trusted execution environments (TEEs) and on-device inference systems. Key contributions include pioneering side-channel attacks against TEE-shielded neural networks (CipherSteal, HyperTheft), bit-flip attack surfaces in DNN executables (BitShield), and novel testing methodologies for neural network robustness. She investigates cache/timing side channels, ciphertext analysis, privacy leakage in partitioned ML, and concept-based explainability. Analysis of her 2023-2025 publications reveals a cohesive focus on offensive security research for AI infrastructures, with consistent contributions to top venues in security and machine learning. Her work demonstrates expertise in low-level system interactions (memory, cryptography) applied to ML security, spanning attack vectors, defensive mechanisms, and validation frameworks. The research trajectory shows increasing sophistication in exploiting hardware-software interfaces while developing practical hardening techniques for real-world deployments.

Anton Akusokمشاهده پروفایل

مدرس

• Machine Learning
• Big Data Analytics
• Mobile Edge Computing
• +۳ مورد دیگر

Anton Akusok is a Part-time Lecturer in the Big Data Analytics Master's program at Arcada University of Applied Sciences. He holds a BSc in IT from Moscow (2011), MSc in ML and Data from Aalto University (2014), and a DSc in ML from the University of Iowa, USA (2016). His research focuses on Extreme Learning Machines (ELM), hardware acceleration for ML on mobile devices, and real-time geospatial predictions. He has developed libraries like HPELM and Scikit-ELM, and created the HaSuRiski app for acid sulfate soil prediction in Finland. Research Interests: ELM applications in environmental modeling, federated learning security, mobile edge computing, and geospatial visualization. Key projects include real-time mapping apps with iOS integration and open-source ML tools. Publications (2021-2024) highlight work on federated learning privacy, acid sulfate soil detection, signature verification, and distributed ELM algorithms.

Yvonne Dittrichمشاهده پروفایل

استاد

• Cooperative and Human Aspects of Software Engineering
• Continuous Software Engineering (CSE)
• Use Orientation in Software Engineering
• +۷ مورد دیگر

Yvonne Dittrich is a Professor at the IT University of Copenhagen (ITU), affiliated with the Software Development Group. She holds an adjunct professorship at IIT Mandi, India, and has held roles at institutions in Sweden, Canada, and the U.S. Her research focuses on cooperative and human aspects of software engineering, including Continuous Software Engineering (CSE), use-oriented design, and end-user development (EUD). She has led projects like SAIA-Farm (sustainable irrigation via satellite analytics) and contributed to frameworks like 'Cooperative Method Development.' **Education**: PhD in Computer Science (Hamburg University, 1997), M.Sc. from TU Darmstadt. **Research Interests**: She pioneers methods bridging software engineering with human-centric practices, emphasizing sustainability and participatory design. Her work addresses challenges in global software development, agile methodologies, and software ecosystems. **Awards**: TAT-Förderpreis (1989), Best Paper Award (2018), Distinguished Reviewer recognition (2018). **Grants & Leadership**: Led projects funded by the Danish Innovation Fund, EU, and others. Served on editorial boards for IEEE Transactions on Software Engineering and Journal of Systems and Software. **Labs/Teams**: Collaborates with labs in Denmark, India, and Canada on interdisciplinary projects, including smart irrigation systems and fintech ESG data commons.

Sebastian Boschمشاهده پروفایل

پژوهشگر

• Material Analysis
• Cultural Heritage Studies
• Multispectral Imaging
• +۳ مورد دیگر

Dr. Sebastian Bosch serves as Manager of the Mobile Lab at the University of Hamburg's Centre for the Study of Manuscript Cultures (CSMC). He leads material analysis initiatives for cultural heritage artifacts through advanced scientific instrumentation. His roles include managing XRF and FTIR spectrometers in the Mobile Lab, and contributing to the Cluster of Excellence 'Understanding Written Artefacts' (2019–2025). Key projects include the Palm-Leaf Manuscript Profiling Initiative and material analysis of medieval manuscripts. Bosch holds a PhD in material science and has extensive experience in non-destructive testing techniques. His work bridges archaeometry, digital humanities, and conservation science. Research interests focus on multispectral imaging, pigment characterization, and technological applications for cultural heritage preservation. He collaborates internationally on projects like the Atri Fragment Revisited and Squarcialupi Codex analysis. Technical expertise includes XRF spectroscopy, infrared microscopy, and software development for pattern analysis in manuscripts. Has presented over 27 academic activities, including lectures on Mobile Lab methodologies and material analysis workshops. Manages laboratory equipment worth millions euros, supporting interdisciplinary research. Supervises technical operations for dozens of manuscripts annually through the Mobile Lab's fieldwork capabilities. Awards: No formal academic awards listed, though work has been recognized through high-impact publications in journals like Manuscript Studies and i-com .

• Cognitive Psychology
• Cross-modal Perception
• Environmental Psychology
• +۲ مورد دیگر

Marco Costa is a Full Professor at the Department of Psychology "Renzo Canestrari" within the University of Bologna. His research spans cognitive psychology, cross-modal perception, and environmental psychology, with a particular emphasis on the interplay between music, visual cognition, and behavioral responses. His recent publications highlight trends in auditory-visual integration , including studies on musical mode perception , spatial cognition , and environmental influences on behavior . His work bridges theoretical and applied domains, ranging from urban design to sensory neuroscience.

Montserrat Rosمشاهده پروفایل

دانشیار

• Embedded Systems
• Sensor Networks Data Fusion
• Cyber-Physical Systems
• +۶ مورد دیگر

Montserrat Ros is an Associate Professor and Associate Dean (Education) at the School of Electrical, Computer and Telecommunications Engineering within the Faculty of Engineering and Information Sciences at the University of Wollongong, Australia. She has been with the university since 2006, initially joining as a Lecturer in Computer Engineering and progressing to her current senior academic and leadership roles. Her educational background includes: B.E.(Hons1)/B.Sc. double degree majoring in Computer Systems Engineering and Mathematics from the University of Queensland (2000) Ph.D. degree in Computer Engineering from the University of Queensland (2007) Professor Ros's research focuses on the intersection of embedded computing systems and practical engineering applications. Her work spans several key areas including embedded systems design, sensor network data fusion, cyber-physical systems development, and innovative approaches to engineering education. She has particular expertise in sensor-based localization techniques, computer architecture optimization, and code compression methodologies for resource-constrained environments. More recently, her research has expanded into machine learning applications for constrained systems and Internet of Things implementations. Analysis of her recent publication record reveals a strong emphasis on Internet of Things networks, UAV-based systems, and applications of artificial intelligence in both engineering education and manufacturing processes. Her work demonstrates a consistent pattern of bridging theoretical computer engineering concepts with practical real-world applications across diverse domains including healthcare, environmental monitoring, and industrial automation. Her significant contributions to academia have been recognized through numerous prestigious awards: 2019: AAUT Citation for Outstanding Contribution to Student Learning 2018: IEEE TALE 2018 Meritorious Service Award 2018: Featured in UOW Leadership in Education Booklet 2017: UOW Vice Chancellor's Award for Outstanding Contribution to Teaching and Learning 2016: UOW Women of Impact for inspiring young women in STEM 2015: UOW Vice Chancellor's Interdisciplinary Research Excellence Award 2012 & 2007: UOW Vice Chancellor's Awards for Teaching Excellence 2011: UOW Vice Chancellor's Award for Community Engagement Senior Fellow of WATTLE (Wollongong Academy for Tertiary Teaching & Learning Excellence) Professor Ros has secured substantial research funding across multiple projects spanning from 2006 to the present. Her grant portfolio demonstrates a consistent focus on engineering education innovation, sensor network development, and practical applications of embedded systems. Notable projects include "The AI Tutor: Enabling 24x7 student support across engineering" (2024), "AI/IoT-powered Airborne System for Monitoring Water Level and Tidal Floods" (2023), and "Smart Eye: Airborne and AI-Driven Assessment Solution of Sugarcane" (2022). She actively supervises HDR students and has completed multiple successful candidatures. Her leadership extends beyond research and teaching, as evidenced by her role as Associate Dean (Education) for the Faculty of Engineering and Information Sciences. She is also actively involved in community engagement through volunteering with the State Emergency Service (Wollongong SES) and Athletics Wollongong Club.