جست‌وجوی استاد و پژوهشگر

Adam Nixمشاهده پروفایل

دانشیار

• Organizational Corruption
• Business Ethics
• Responsible Business
• +۱۲ مورد دیگر

Dr. Adam Nix is an Associate Professor in Responsible Business at the Department of Management, Birmingham Business School, University of Birmingham. He is a member of the Centre for Responsible Business and co-leads its participation in the UN-affiliated PRME initiative. He also serves on the editorial board of the journal Business History as Book Reviews Editor. PhD in Management, Aston Business School (2019) Fellow of the Higher Education Academy (2016) MSc in International Business (2012) BA (Hons) in Business and Law (2011) Adam Nix's research centers on organizational corruption, misconduct, and irresponsible behavior, particularly in evolving market environments such as deregulated energy markets. His work integrates historical analysis with digital methodologies, including the use of AI to analyze email archives. Key research themes include EDI-related misconduct, linguistic trust in professional misconduct, and the preservation of digital organizational records. He has collaborated with institutions such as the National Archives UK and the Cabinet Office. His recent publications span interdisciplinary journals including Business History Review , AI & Society , and Journal of Business Ethics , reflecting a blend of business history, ethics, and digital innovation. His research shows a strong trend toward methodological innovation in archival research and a critical examination of corporate accountability. Henrietta Lawson Award for Best Article in Business History Review (2021) British Academy of Management’s Best Full Paper Award in Organisational Studies (2023) Birmingham Business School Outstanding Research Award (2023) Adam Nix has secured research funding from the Arts and Humanities Research Council and the Andrew W. Mellon Foundation for projects such as EMCODIST and Contextualising Email Archives. He teaches modules on Responsible Business, Sustainability, and Corporate Responsibility at both undergraduate and postgraduate levels. He has supervised PhD students and collaborates widely with scholars like Stephanie Decker and David Kirsch. His work bridges historical inquiry with contemporary ethical and technological challenges in business. He is actively involved in developing AI-based tools for searching and contextualizing email archives, contributing to the preservation and accessibility of digital-era corporate records. His lab and project work focus on digital archiving, AI-assisted historical research, and ethical business practices.

Rebecca Quintanaمشاهده پروفایل

استادیار بالینی

• Learning Sciences
• Educational Technology
• Immersive Learning Environments
• +۳ مورد دیگر

Rebecca Quintana serves as a Clinical Assistant Professor at the University of Michigan's Marsal Family School of Education within the Department of Educational Studies. She co-leads the Rackham Learning Experience Design Graduate Certificate program and maintains faculty affiliations with the Digital Studies Institute and National Center for Institutional Diversity's Diversity Scholars Network. Her academic home sits at the intersection of educational innovation and technology integration. Quintana's research synthesizes learning sciences with practical educational technology design, emphasizing socially interactive and immersive learning environments. She champions equitable approaches to instruction through universal design for learning frameworks and digital accessibility standards. Her scholarly work explores generative AI applications in educational contexts while maintaining focus on human agency development. Current projects include the Consumer Evaluation Tool for Educational Apps and AI-driven tools supporting human agency in learning contexts. Her publication record demonstrates consistent contributions to leading journals including Tech Trends , Instructional Science , and Online Learning Journal . Quintana's research trajectory reveals evolving focus from foundational MOOC pedagogy analysis toward contemporary applications of immersive technologies and AI in education. Best Paper Award from AERA Online Teaching and Learning Special Interest Group (2018) Teaching Innovation Award from Digital Studies Institute With 25 years of K-16 teaching experience spanning elementary core subjects and secondary visual arts, Quintana bridges practical classroom knowledge with academic research. Her leadership as Program Chair for AERA's Online Teaching and Learning SIG demonstrates active engagement in shaping educational research discourse. Current work emphasizes designing technology-rich environments that center equity while leveraging emerging tools like generative AI for learning experience enhancement. Quintana operates within collaborative networks including the Digital Studies Institute and National Center for Institutional Diversity, where her work on consumer evaluation tools and AI-enhanced learning environments pushes boundaries in educational technology assessment and human-centered design.

Eveline Chanمشاهده پروفایل

دانشیار

• English Language Education
• Literacies Development
• TESOL
• +۱۲ مورد دیگر

Eveline Chan is an Associate Professor in English, Literacies and Languages Education at the School of Education, Faculty of Humanities, Arts, Social Sciences and Education, University of New England (UNE), Australia. She is based in Education Building (E7), Room 332, and can be contacted at eveline_chan@une.edu.au or +61 2 6773 3818. Her research and teaching expertise lies at the intersection of language, literacy, and multimodal education. She specializes in how learning is mediated by multiple semiotic systems in both physical and digital spaces, with a strong focus on critical transitions in education. Her work has significant implications for literacy development, teaching, and assessment, particularly in academic and disciplinary literacies and reading in hypertext environments. The recent scholarly output of Associate Professor Chan reflects a consistent trajectory in multimodal and disciplinary literacies. Her publications explore the integration of image and text in digital and assessment contexts, particularly in science and language education. Themes include the design of multimodal assessments, the challenges of online reading comprehension, and the pedagogical translation of disciplinary knowledge. Her work bridges theoretical frameworks like systemic functional linguistics with practical classroom applications, influencing both curriculum and assessment design. She is actively engaged in the academic community, serving on the Editorial Review Board of English Teaching: Practice & Critique and as a peer reviewer for journals in Education, Linguistics, and Computer Science Applications. She is also a member of the Executive Committee of the Australian Literacy Educators’ Association Northern NSW Council. PhD (Syd) GradDipTeach TESL (SACAE/UniSA) BEd Hons 1 (Syd) She has supervised numerous PhD candidates to completion, including Lindsay Williams, Lindall Watson, Annemaree O'Brien, and Hajar Alharthi. Her teaching includes coordinating and lecturing units such as EDEE100 English Language in Use, EDEE 312 English Teaching: Focus on Writing and Creating, and EDEE 528 Researching Literacies in Education. She is affiliated with professional organizations including PETAA, ALEA, and ASFLA. Her research is supported by her deep engagement with multimodal theory and systemic-functional linguistics, and she continues to contribute to the evolving understanding of how students navigate and create meaning in complex, multimodal learning environments.

King Brittمشاهده پروفایل

استاد

• Electronic Music
• Afrofuturism
• Computer Music
• +۷ مورد دیگر

King Britt is a Professor in Computer Music at the University of California San Diego (UCSD), where he teaches in the Department of Music within the Herb Alpert School of Music. He is best known for developing and leading the innovative course Blacktronika: Afrofuturism in Electronic Music , which investigates the contributions of Black artists to electronic music genres such as Detroit Techno, Chicago House, and Drum & Bass. His research and teaching focus on: Afrofuturism in sound and performance History and pedagogy of Black electronic music Intersections of technology, race, and creativity Community-based music innovation Remix culture and DJ practice Britt’s scholarly and artistic publications span diverse formats, including academic journals, public lectures, radio broadcasts, and curated festivals. His recent works explore themes of sonic memory, cultural preservation, and pedagogical innovation in electronic music. He frequently collaborates with institutions such as Carnegie Hall, MoMA PS1, and Cambridge University Press, and his Blacktronika initiative has evolved into a multimedia project encompassing a podcast, festival, digital archive, and educational curriculum. His scientific recognition includes the prestigious Pew Fellowship , awarded for artistic excellence and innovation. As an educator, he mentors students through immersive, guest-led courses and fosters creative ecosystems that bridge academia and industry. Britt has led or participated in numerous collaborative projects, including: Tyshawn and King – an improvisational album with MacArthur Fellow Tyshawn Sorey Chimurenga Renaissance – a cross-cultural project with Tendai Maraire of Shabazz Palaces Blacktronika Archives – a digital repository of Black electronic music history Curatorial work with MoMA PS1, MoCA LA, and Carnegie Hall Radio series Transmissions on NTS Radio He leads the Blacktronika initiative, which includes: The Blacktronika Festival , presented at SummerStage and other venues The Blacktronika Podcast , hosted in collaboration with Carnegie Hall Curated playlists and educational content on platforms like Spotify, Tidal, and Google Arts & Culture Global lectures and public talks on Afrofuturism and music technology

• Educational Technology
• Collaborative Learning
• Computer-Supported Learning
• +۳ مورد دیگر

Markus Kuhn is a researcher at the University of Cambridge with a diverse academic career spanning over two decades, evidenced by publications from 2003 to 2023. His work bridges educational technology, computer science, and autonomous systems, demonstrating significant interdisciplinary reach across multiple domains. Dr. Kuhn's research has evolved through distinct phases. Initially focused on educational technology (2003-2007), he published extensively on classroom scenarios, collaborative learning, and media integration. His work then broadened to include physics computation (2008) and process support for inquiry learning (2010). More recently (2016-2023), his research has shifted toward autonomous systems, with publications on self-localization technologies and map generation for autonomous vehicles. This publication trajectory reveals a researcher who has successfully adapted his expertise from educational applications to more technical domains while maintaining connections to his foundational work in learning systems. His research demonstrates consistent innovation in applying computational approaches to solve practical problems across different contexts. Dr. Kuhn has maintained long-term collaborations with researchers including Heinz Ulrich Hoppe, Andreas Harrer, and Andreas Lingnau, indicating strong interdisciplinary networks. His work has been published in diverse venues ranging from IEEE Access and Microelectronics Reliability to Research and Practice in Technology Enhanced Learning and International Conferences on Computer-Supported Collaborative Learning.

Daniel Woodsمشاهده پروفایل

مدرس

• Cybersecurity
• Privacy
• Security Economics
• +۸ مورد دیگر

Daniel Woods is a Lecturer in Cybersecurity at the School of Informatics, The University of Edinburgh, with a joint appointment at the British University in Dubai, where he periodically teaches and collaborates. His work bridges computer science, economics, and law, focusing on the financial and organizational dimensions of cybersecurity. His research interests lie at the intersection of cybersecurity and economics, particularly in cyber insurance, digital risk management, cyber risk quantification, and incident response. He investigates how legal frameworks and market mechanisms influence security behaviors and outcomes, including the role of breach attorneys, privacy preference signals, and 0-day exploit brokers. His work emphasizes empirical and quantitative approaches to understanding cyber risk. The recent articles highlight a strong trend in the economic and policy dimensions of cybersecurity, especially the evolving role of cyber insurance in shaping organizational security practices. His publications span top-tier venues in security and interdisciplinary domains, reflecting a focus on risk modeling, legal implications, and market-based solutions to cyber threats. Fulbright Scholar Award (during PhD at University of Tulsa) Daniel Woods has advised research through projects such as PRINSUR, where he supervised research associate Rachiyta Jain. While formal student advisees are not listed, his postdoctoral and collaborative experience at the University of Innsbruck’s Security and Privacy Lab under Rainer Böhme indicates strong mentorship engagement. No specific grants are mentioned, but his research is likely supported through institutional and project funding related to cybersecurity economics. He is affiliated with the Security and Privacy Research Institute and the Laboratory for Foundations of Computer Science at the University of Edinburgh, and previously worked in the Security Economics Lab at the University of Tulsa and the Security and Privacy Lab at the University of Innsbruck. These affiliations reflect a strong network in cybersecurity research with an economic and policy orientation.

• Electrical Machines
• Electric Motor Drives
• Fault-Tolerant Systems
• +۷ مورد دیگر

Professor Barrie Mecrow is a distinguished academic at Newcastle University's School of Engineering, Department of Electrical and Electronic Engineering. With over two decades of research experience, he has established himself as a leading expert in electrical machines, motor drives, and fault-tolerant systems. His work spans multiple application domains including aerospace, electric vehicles, and renewable energy systems. Professor Mecrow's research primarily focuses on the design, analysis, and control of advanced electrical machines. His expertise encompasses permanent magnet machines, switched reluctance motors, thermal management of electrical machines, and fault-tolerant drive systems. He has made significant contributions to understanding electromagnetic losses, improving torque density, and enhancing the reliability of electric drives in safety-critical applications. His recent work has particularly emphasized thermal management solutions for high-power density machines and advanced control strategies for multi-phase motor drives. Analysis of Professor Mecrow's publication record reveals a consistent focus on practical engineering solutions with strong industrial relevance. His research has evolved from fundamental machine design and analysis to integrated drive systems with particular emphasis on reliability, thermal management, and fault tolerance. The trend in his recent publications shows increasing attention to thermal challenges in high-power density machines, advanced control strategies for multi-phase drives, and innovative winding configurations for specialized applications. Professor Mecrow has supervised numerous PhD students who have gone on to become established researchers in their own right. His research has strong industry connections, particularly with aerospace and automotive sectors, as evidenced by the applied nature of his publications focusing on fault-tolerant systems for aircraft applications and electric vehicle traction motors.

Frédéric Guillaumeمشاهده پروفایل

استاد

• Evolutionary Biology
• Population Genetics
• Quantitative Genetics
• +۴ مورد دیگر

Frédéric Guillaume is a Professor in the Organismal and Evolutionary Biology Research Programme at the University of Helsinki 's Faculty of Biological and Environmental Sciences. His work integrates computational and empirical approaches to study evolutionary processes under environmental change. Education: PhD in Evolutionary Biology (2005) and BSc in Biological Sciences (2001) from Université de Lausanne His research focuses on: Genetic architecture of complex traits Eco-evolutionary responses to climate change Genotype-phenotype mapping and adaptive constraints Forward-time simulation modeling using Nemo software Experimental evolution with Tribolium castaneum Recent publications (2021-2024) span: Quantitative trait analysis through identity-by-descent methods Gene expression evolution under novel environmental pressures Trade-offs between environmental robustness and evolvability Climate change impacts on alpine plant genetics Pleiotropy versus linkage in genetic correlation detection Active in academic service through: Supervision of Master's theses International research visits (ICTS 2024, UCSB 2022) Collaborative projects like WildAP (2023-2025) and MSCA SalmonScales (2023) He maintains the open science Nemo software ecosystem and contributes to initiatives like Peer Community Journal . His work combines theoretical modeling with experimental validation to predict species persistence under global change scenarios.

• Artificial Intelligence
• Data Science
• Computer Vision
• +۶ مورد دیگر

Niklas Beuter is a Professor of Artificial Intelligence and Data Science at TH Lübeck, Germany, within the Department of Electrical Engineering and Computer Science. He has been in this position since 2023, contributing to both research and education in AI and computer vision. His educational background includes a Diplom in Computer Science with a focus on robotics from Universität Bielefeld, completed with distinction, followed by a Ph.D. from the same institution in 2011. His doctoral research centered on 3D human detection and tracking for mobile robotic platforms, supporting situation awareness in dynamic environments. Beuter's research is deeply rooted in artificial intelligence, computer vision, and robotics , with a focus on dynamic 3D scene analysis, human-robot interaction, and autonomous systems . His work bridges theoretical models with real-world applications, particularly in autonomous driving and intelligent robotic perception. He has led research teams in industry, demonstrating strong leadership in applied AI. The trend in his publications reflects a consistent focus on perception systems for robots and vehicles , evolving from foundational work in 3D reconstruction and gesture-based interaction to advanced topics like pedestrian intent forecasting using deep learning. His contributions span top conferences such as IEEE ICRA, CVPR, and Intelligent Vehicles, indicating sustained engagement with the core AI and robotics communities. While no formal scientific awards are listed in the provided text, his leadership roles and publication record reflect significant professional recognition. He actively supervises student theses and invites students to register for thesis topics via email, indicating an ongoing commitment to mentoring. Although no specific grants are mentioned, his industrial and academic research leadership suggests involvement in funded projects. He is a member of research groups including CoSA and serves as Deputy Head of ISy, showing active participation in institutional research organization. His research has been conducted in collaboration with teams at Universität Bielefeld, Daimler Research Center, and Robert Bosch GmbH, reflecting a strong interdisciplinary and industry-academia network. His work continues to influence both academic research and industrial applications in AI and autonomous systems.

Feng Liمشاهده پروفایل

استاد

• Network Security
• Wireless Networks
• Mobile Ad-hoc Networks
• +۶ مورد دیگر

Feng Li is a Professor in the Department of Computer and Information Technology at Indiana University - Purdue University Indianapolis (IUPUI), School of Science. He received his PhD from Florida Atlantic University in 2009 and has since established himself as a leading researcher in network security, wireless networks, and privacy-preserving technologies. His research interests span across multiple domains in computer science, with a primary focus on Network Security , Wireless and Mobile Ad-hoc Networks , Federated Learning Security , Differential Privacy , and Social Network Analysis . Dr. Li's work consistently addresses critical challenges in securing distributed systems while preserving user privacy, with applications ranging from social networks to edge computing environments. His research methodology often combines theoretical frameworks with practical implementations, resulting in solutions that balance security, privacy, and system performance. Dr. Li's publication record reveals a strong trajectory in addressing evolving security challenges in distributed systems. His recent work has focused on securing federated learning systems against sophisticated attacks like backdoors, developing privacy-preserving techniques for social networks using differential privacy, and enhancing malware detection through advanced machine learning approaches. His research shows a clear evolution from traditional network security problems to more complex challenges in modern distributed AI systems. Dr. Li has successfully mentored numerous graduate students who have become active contributors in the field, including Agnideven Palanisamy Sundar, Tianchong Gao, Qin Hu, and Ryan Hosler, who frequently appear as co-authors on his publications. His research has been supported by various funding mechanisms that have enabled his team to tackle significant challenges in network security and privacy. His laboratory focuses on practical implementations of security and privacy solutions, with particular emphasis on real-world applicability of theoretical concepts. Current research directions include enhancing the security of federated learning systems, developing more robust privacy-preserving techniques for social networks, and creating advanced malware detection systems using deep learning approaches.

Paula Westenbergerمشاهده پروفایل

مدرس ارشد

• Intellectual Property Law
• Copyright Law
• Human Rights Law
• +۳ مورد دیگر

Dr. Paula Westenberger serves as Senior Lecturer in Intellectual Property Law at Brunel Law School within Brunel University London's College of Business, Arts and Social Sciences. She joined Brunel in 2018 after prior positions at Queen Mary University of London and Buckinghamshire New University, and concurrently holds membership in Brunel's Centre for Artificial Intelligence while founding and leading the Heritage AI and Law (HAIL) Network since 2025. Her academic credentials include: Postgraduate Certificate in Curating and Collections Management, Birkbeck University of London (2024) Postgraduate Certificate in Academic Practice, Brunel University of London (2019) PhD, Queen Mary University of London (2018) LLM in Intellectual Property Law, Queen Mary University of London (2012) LLB, Pontificia Universidade Catolica do Rio de Janeiro (2010) Her research centers on copyright law's intersection with human rights and cultural heritage, with specific expertise in copyright limitations/exceptions, digital technology applications by heritage institutions, and artistic freedom conflicts. Current work examines AI-heritage interfaces through her AHRC-funded BRAID Fellowship project Responsible AI for Heritage: copyright and human rights perspectives with RBG Kew, building on prior Athena Swan and BRIL Research Awards. Analysis of her 2016-2025 publications reveals an evolving trajectory from foundational Brazilian copyright studies (image rights, orphan works) toward cutting-edge AI-copyright policy analysis, with 2025 works directly addressing UK copyright challenges in AI-driven cultural heritage research. Her scholarly recognition includes: BRAID Research Fellowship (AHRC) Athena Swan Research Award Brunel Research Interdisciplinary Labs (BRIL) Award CCLS/QMUL Postgraduate Research Fund award CCLS/QMUL full PhD Studentship Fellow of the UK Higher Education Academy Dr. Westenberger directs significant research funding including the current AHRC BRAID project (2024-2025), Athena Swan Award (2023-2024), and BRIL Award (2022-2023), while serving as Deputy Editor for the European Copyright and Design Reports and peer reviewer for academic journals. She teaches undergraduate and postgraduate modules including Intellectual Property Law, International IP Law, and Cultural Heritage Law. She spearheads the Heritage AI and Law (HAIL) Network to bridge legal scholarship with heritage practice, collaborating through Brunel's Centre for Artificial Intelligence and partnerships with RBG Kew and The Alan Turing Institute on interdisciplinary AI-heritage initiatives.

• Digital Learning
• Mobile Learning
• ICT4D
• +۱۲ مورد دیگر

John Traxler is a Professor in Digital Learning at the Institute of Education, Faculty of Education, Health, and Wellbeing, University of Wolverhampton. He holds dual prestigious Chairs: a UNESCO Chair in Innovative Informal Digital Learning in Disadvantaged and Development Contexts and a Chair from the Commonwealth of Learning. He is also a Visiting Professor at the University of Gloucestershire and Academic Director for Avallain. His work spans global digital learning, mobile learning, and educational technology in development contexts. His research interests include digital learning, mobile learning (m-learning), ICT4D, m4d, ethics for development, researcher capacity building, and the sociology of mobilities. He has pioneered work in mobile learning since the 2000s, evolving into critical and ethical dimensions of digital education in marginalized communities. His recent publications reflect a strong focus on decolonizing educational technology, postdigital learning, mobile health interventions, and digital language learning. These works demonstrate evolving themes from technical implementation to sociocultural and ethical implications of digital technologies in education, particularly in the Global South. UNESCO Chair: Innovative Informal Digital Learning in Disadvantaged and Development Contexts Commonwealth of Learning Chair Fellow of the Royal Society of Arts (FRSA) Member of the British Computer Society (MBCS) Fellow of the Institute of Mathematics and its Applications (AFIMA) Member of the Institution of Engineering and Technology (MIET) Top 2% most cited researcher in his field (Stanford ranking) Traxler has supervised multiple PhD and EdD students on topics such as critical digital literacies, mobile language learning, and the evolving role of FE teachers. He has led significant research grants from bodies including the European Commission, Department for International Development, and EdTech Hub, often focusing on education during crises, such as the COVID-19 pandemic. He is a member of the ESRC Peer Review College and the QS Rankings Advisory Board, reflecting his influence in academic policy and evaluation. He is actively involved in international projects, policy development, and capacity building, particularly in Africa, the Middle East, and Latin America. His leadership in the International Association for Mobile Learning and editorial roles in key handbooks further underscore his foundational role in shaping the field.

Tom Townsendمشاهده پروفایل

مدرس ارشد

• Cyber Security
• IT Infrastructure
• Data Centers
• +۷ مورد دیگر

Dr. Tom Townsend serves as a Senior Lecturer at UNSW Canberra within the School of Professional Studies. With 20 years of experience in the higher education sector and federal government consulting, he bridges professional IT leadership with academic instruction in cybersecurity. His educational background includes doctoral research taking a Design Science approach to IT infrastructure and data centers within the context of services availability. His research methodology combines qualitative and quantitative approaches including modeling, scenarios, interviews, and thematic analysis. Townsend's research interests span Cyber Security, Artificial Intelligence (particularly Reinforcement Learning), Serious Games, Wargaming, and IT Infrastructure. His recent work bridges AI, Simulation, and Military Wargaming through interdisciplinary projects connecting Computer Science with Design Science. His publication record demonstrates consistent contributions to fields including data center efficiency (2017-2019) and AI applications in board games (2021-2023), showing an evolving research trajectory from infrastructure to AI applications. As an Education Focused academic, Townsend teaches in the Graduate Certificate in Cyber Security Leadership and Master of Cyber Security (Online) programs, with particular interest in the intersection of Computer Science, Social Sciences, and Management within cybersecurity. Professional highlights include designing recovery programs after cyber incidents at Australian National University, developing strategies for universities and federal government departments, and leading digital transformation programs.

• Computer Networking
• Network Architecture
• Quality of Service
• +۴ مورد دیگر

Jordi Domingo-Pascual is a distinguished academic and researcher in the field of computer networking, affiliated with Universitat Politècnica de Catalunya (UPC) in Barcelona, Spain. With a publication record spanning nearly three decades from 1994 to 2022, he has established himself as a leading expert in network architecture, quality of service, and network performance analysis. His work has significantly contributed to advancements in networking technologies including Software-Defined Networking, Locator/Identifier Separation Protocol (LISP), and wireless network optimization. Dr. Domingo-Pascual's research primarily focuses on network architecture and performance , with specific expertise in: Quality of Service (QoS) mechanisms in heterogeneous networks Locator/Identifier separation protocols and their scalability Software-Defined Networking control plane optimization Wireless network capacity estimation and performance analysis Inter-domain routing and multicast solutions Traffic measurement and hidden traffic analysis His work bridges theoretical network models with practical implementations, often collaborating with industry partners to address real-world networking challenges. Throughout his career, Domingo-Pascual has evolved from early ATM network research in the 1990s to IP/MPLS integration in the 2000s, and more recently to Software-Defined Networking and network function virtualization. His most recent publications (2020-2022) show a strong focus on controller placement optimization, addressing critical challenges in network latency and reliability. This represents a natural progression from traditional networking protocols toward more modern, flexible network architectures that can adapt to evolving service requirements. Dr. Domingo-Pascual has mentored numerous researchers and collaborated extensively with colleagues across Europe and internationally. His research group at UPC has been particularly active in projects related to European Union-funded initiatives in networking technologies. While specific grant details aren't provided in the available information, his consistent publication record suggests sustained research funding throughout his career.

Anders Møllerمشاهده پروفایل

استاد

• Programming Languages
• Software Engineering
• Static Program Analysis
• +۴ مورد دیگر

Anders Møller is a Professor and Vice Head of Department at the Department of Computer Science, Aarhus University, Denmark. He is a leading researcher in programming languages and software engineering, with a primary focus on static and dynamic program analysis. He serves as Chairman of the PhD Committee and holds leadership roles in the international research community, including Vice-Chair of ACM SIGPLAN and Associate Editor for ACM TOPLAS and ACM TOSEM. His research interests include programming languages, software engineering, static and dynamic analysis, program verification, and security. His work bridges theoretical foundations and practical applications, particularly in improving software reliability and security through advanced analysis techniques. The trends in his recent publications reflect a strong emphasis on static analysis for security, scalability, and real-world impact—especially in web applications, smart contracts, and open-source software supply chains. His research has evolved toward practical deployment, demonstrated by the founding and acquisition of Coana by Socket in 2025 for enhanced vulnerability detection. Recipient of the Danish Elite Research Prize 2020 ACM Distinguished Member He actively mentors students and contributes to the academic community through conference leadership (e.g., OOPSLA, PLDI, ICSE). He also co-authored the widely used textbook Static Program Analysis with Michael I. Schwartzbach. His work is deeply integrated into both academic and industrial advancements in software analysis and security.