جست‌وجوی استاد و پژوهشگر

Jennifer Timmerمشاهده پروفایل

استادیار

• Educational Leadership
• Equity in Education
• Gender Studies
• +۳ مورد دیگر

Jennifer Timmer serves as an Assistant Professor in the Department of Education Leadership Management and Policy at Seton Hall University, where she investigates systemic inequities in educational leadership through rigorous quantitative methodologies. Her work critically examines representation gaps, access barriers, and compensation disparities affecting principals and superintendents across diverse educational contexts. Dr. Timmer's research program centers on gender and racial dynamics in school leadership, with pioneering studies on the 'glass cliff' phenomenon—where women are disproportionately appointed to high-risk administrative positions during institutional crises. She analyzes gender-based salary gaps among principals, race-gender intersections in superintendency pathways, and how quantitative approaches can advance equity in education leadership. Current projects include a statewide longitudinal analysis of New Jersey education leaders funded by the Seton Hall University Research Council, examining how school funding levels and achievement metrics correlate with leadership appointments in precarious contexts. Her recent publications (2020-2024) reveal a cohesive focus on data-driven analysis of leadership disparities, spanning superintendency compensation structures, gendered career trajectories, and methodological innovations in survey research with vulnerable youth populations. This body of work consistently applies advanced statistical techniques to uncover patterns of inequity while emphasizing practical applications for policy reform in K-12 administration. Dr. Timmer's scholarly impact includes recognition through competitive research funding: Seton Hall University Research Council Grant for compiling statewide longitudinal data on education leaders Her grant-supported initiatives enable large-scale data collection on leadership pathways, facilitating collaborations with state education agencies. While specific doctoral advisees aren't documented in available materials, her co-authored empirical studies demonstrate active mentorship in addressing critical challenges within school administration systems.

Rick Andersonمشاهده پروفایل

استاد

• Mathematics Education
• Geometric Reasoning
• Rural Education
• +۳ مورد دیگر

Rick Anderson is a Professor in the Department of Mathematics and Computer Science at Eastern Illinois University (EIU). His research focuses on instructional strategies for geometric reasoning, particularly in rural educational contexts. He holds a B.S.Ed. in Mathematics and B.A. in Music from Valley City State University, an M.S. in Mathematics from Montana State University, and a Ph.D. in Mathematics Education from Portland State University. Anderson’s research emphasizes rural mathematics education, including curriculum accessibility and student motivation in advanced courses. He teaches undergraduate courses such as Mathematics for Elementary Teachers II , Teaching Mathematics in Grades PreK-6 , and Teaching Mathematics in the Middle Grades . He has served as an editor for Mathematics Teacher: Learning & Teaching PreK-12 since 2000 and holds editorial roles in other academic journals. His publications explore geometric reasoning through classroom discourse (e.g., Geometry Chats ), rural high school mathematics course-taking patterns, and the role of technology in education. He has contributed to international consensus guidelines on medical treatments but maintains a core focus on K-12 mathematics pedagogy. Anderson’s work bridges rural educational challenges with innovative teaching strategies, advocating for equity and practical solutions in mathematics education.

David McAllesterمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۷ مورد دیگر

David McAllester is a Professor at the Toyota Technological Institute at Chicago (TTIC) and holds a part-time Professor position at the University of Chicago's Department of Computer Science. He earned his B.S., M.S., and Ph.D. from MIT (1978, 1979, 1987). His research spans Artificial Intelligence, Machine Learning, and Theoretical Computer Science , with notable contributions to automated theorem proving (Ontic system), reinforcement learning, probabilistic programming, and computer vision. He is a Fellow of AAAI (since 1997) and has received multiple test-of-time awards for seminal papers in AI planning, constraint solving, and computer vision. Key Contributions: Developed the Ontic verification system for mathematical proofs. Pioneered conspiracy numbers in game tree search (influenced Deep Blue). Co-authored foundational work on policy gradient methods in reinforcement learning. Advanced PAC-Bayesian learning theory and co-training methods. Teaching: Teaches TTIC31230 (Fundamentals of Deep Learning), emphasizing mathematical rigor and research skills in computer vision, NLP, and reinforcement learning. Labs/Teams: Co-founded TTIC's research initiatives in AI and machine learning. Collaborates with industry and academia on foundational AI challenges. Awards: AAAI Fellow (1997) Test-of-Time Awards (AAAI, ICLP, CVPR)

• Machine Learning
• Data Systems
• Resource-Aware Computing
• +۵ مورد دیگر

Pinar Tözün is an Associate Professor and Head of the Data, Systems, and Robotics department at the IT University of Copenhagen. She leads multiple research groups, including the Resource-Aware Data Systems and Data-intensive Systems and Applications. Her roles also include academic responsibility for DASYA and involvement in the Center for Climate IT. Her research focuses on resource-aware computing, machine learning systems, heterogeneous hardware optimization, and sustainable data management. Key areas include workload characterization, GPU utilization, and benchmarking frameworks for edge devices and cloud systems. Dr. Tözün has led significant projects such as MOTH (Machine Learning on Tiny Hardware), RAD+ (Resource-Aware Data Science), and DAPHNE (Integrated Data Analysis Pipelines), funded by institutions like the Novo Nordisk Foundation and the European Commission. She has published extensively in top venues, including Proc. ACM Manag. Data and Dagstuhl Reports, with a focus on efficient machine learning pipelines and hardware-aware systems. Her work has been highlighted in media discussions on sustainable hardware and software practices. Tözün also actively participates in academic governance, serving on hiring committees and shaping future faculty recruitment in data-intensive systems.

Oliver Hahnمشاهده پروفایل

استاد

• Material Analysis of Historical Artifacts
• Ink and Writing Material Analysis
• Manuscript Studies
• +۴ مورد دیگر

Professor Oliver Hahn is a Professor at the University of Hamburg with a joint appointment at the Federal Institute for Materials Research and Testing (BAM) in Berlin. He serves as a key researcher within the Cluster of Excellence 'Understanding Written Artefacts' (UWA), where he leads significant projects focused on the material analysis of historical manuscripts and cultural artifacts. His work bridges scientific analysis with humanities research, contributing to our understanding of historical writing practices and material culture across civilizations. Professor Hahn's research spans multiple disciplines at the intersection of material science and cultural heritage. His primary focus areas include: Material analysis of historical artifacts using advanced scientific techniques Chemical composition studies of historical inks across different cultures and time periods Development of standard protocols for identifying writing media Multidisciplinary approaches to understanding manuscript production and preservation Analysis of color usage in historical maps and documents Non-invasive examination methods for valuable cultural artifacts His extensive publication record demonstrates a consistent focus on the material aspects of written culture, with particular attention to ink composition across different historical periods and geographical regions. Professor Hahn's research often involves collaborative, interdisciplinary teams bringing together expertise from chemistry, physics, art history, and manuscript studies. His work has significant implications for cultural heritage preservation, authentication of historical documents, and understanding historical technological practices. Professor Hahn has been actively involved in major research initiatives including the Cluster of Excellence 'Understanding Written Artefacts' (2019-2026) where he leads projects on the 'Recovery of Damaged Writing' and 'History of Writing: Black Inks and Writing Surfaces.' Previously, he participated in the SFB 950 'Manuscript Cultures in Asia, Africa and Europe' (2011-2020), leading scientific service projects focused on material-scientific methods for reconstructing manuscript history. His laboratory work involves sophisticated analytical techniques including XRF, DRIFTS, and other non-invasive methods for examining historical artifacts. He is an integral member of the CSMC Mobile Lab team, which develops portable analytical equipment for on-site examination of valuable manuscripts in cultural institutions worldwide, making advanced material analysis accessible to collections that cannot transport fragile artifacts to specialized laboratories.

Hans-Wolfgang Loidlمشاهده پروفایل

دانشیار

• Functional Programming
• Parallel Programming
• Program Analysis
• +۷ مورد دیگر

Hans-Wolfgang Loidl is an Associate Professor at the School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh. His primary research areas include functional programming, parallel computation, program analysis, symbolic computation, and high-performance machine learning with applications in embedded systems, FinTech, and health informatics. He leads the dependable systems group and serves as Senior Programme Director for Computer Science, chairing the Undergraduate Board of Studies and leading the 2025 Academic Review. Member of dependable systems group Coordinated SICSA MultiCore Challenge Hosted 2nd International Summer School on Advances in Programming Languages in 2014 He designs and implements programming languages for easy-to-use parallelism (Glasgow Parallel Haskell, Glasgow Distributed Haskell, mobile Haskell) and focuses on formal guarantees for resource bounds. Recent expansions include computer security (Secrious project EP/T017511/1) via serious games, high-performance machine learning for FinTech (BA grant + industry PhD), and Brain-Computer Interfaces (EPSRC proposal). His research output spans 1999–2025, including 64 peer-reviewed publications and 5 datasets. Notable works include articles on parallel Haskell dialects (PAEAN), NUMA performance analysis, unikernel benchmarking, and playful learning exercises for security education. He offers PhD projects in functional programming, parallel programming, and high-performance machine learning applications. His teaching vision emphasizes strategic focus in software engineering education, with courses on industrial programming, hardware-software interfaces, and parallel/distributed technology.

Erica Blumمشاهده پروفایل

استادیار

• Cryptography
• Cybersecurity
• Distributed Systems
• +۳ مورد دیگر

Erica Blum is an Assistant Professor of Computer Science at Reed College, affiliated with the Computer Science Department within the Division of Mathematical and Natural Sciences. Her research focuses on cybersecurity and cryptography, particularly in designing provably secure systems for scenarios involving faulty devices. Key areas include multiparty computation and Byzantine consensus protocols. Blum holds a bachelor's degree in mathematics from Haverford College and a Ph.D. in computer science from the University of Maryland. Her work emphasizes theoretical foundations with practical applications in distributed systems security. Her recent publications (2019–2023) explore consensus protocols under dynamic network conditions, blockchain security (e.g., Algorand analysis), and hybrid asynchronous/synchronous systems. Notable contributions include the Tardigrade atomic broadcast protocol and analyses of HashGraph and Proof-of-Stake mechanisms. While no awards or grants are explicitly listed, her research demonstrates sustained engagement with foundational challenges in distributed computing security.

Chris Andertonمشاهده پروفایل

دانشیار

• Music Industry Studies
• Music Festivals
• Cultural Geography
• +۳ مورد دیگر

Chris Anderton is an Associate Professor at Solent University, serving as Convenor of the Art and Music Research Group. His research focuses on music festivals, cultural economics, progressive rock, and media studies. He holds a PhD in (Re) Constructing Music Festival Places from the University of Liverpool (2007), an MBA in Music Industries from the University of Liverpool (2002), and a BSc in Geography from Swansea University (2001). His work explores music festival authenticity, cyclic sociality, and the intersection of music with cultural geography. He has organized events like SMILEfest (2015–2017) and contributed to conferences on live music and progressive rock. His publications include Pressing Reset: Reimagining Performer and Songwriter Revenues (2024) and The Routledge Handbook of Progressive Rock, Metal, and the Literary Imagination (2025). Anderton is involved with professional organizations such as the Music Managers Forum and Authors' Licensing and Collecting Society. His research spans 57 publications and 47 academic activities, emphasizing interdisciplinary approaches to music industry challenges.

• Music Production
• Audio Engineering
• Music Business
• +۳ مورد دیگر

Russ Hepworth is an Associate Professor at York St John University, teaching across the School of the Arts and York Business School. His roles include instructing modules on recording, production, mastering, music business, entrepreneurship, and innovation. Beyond academia, he operates a professional mastering service, consults in the music industry, and co-chairs the Audio Engineering Society's UK Mastering Group. He has held leadership positions such as Finance Director for the Music Producers Guild and co-founder of the Innovation in Music international conference series. He holds an LCM Diploma in Music Technology, MA in ICT in Education, and a PG Certificate in Teaching and Learning in Further and Higher Education. His research focuses on music production education, audio mastering techniques, and entrepreneurship within the music industry. He has contributed over 100 articles to outlets like Pro Sound News Europe and Sound On Sound, and authored/co-authored numerous books with Routledge, including Mastering in Music (2020) and Innovation in Music: Future Opportunities (2021). Russ has mastered over 1,000 albums since 2003, collaborating with artists such as Billy Ray Cyrus and Steve Earle. His work bridges professional practice and academic research, emphasizing knowledge transfer and industry engagement. He also serves on international conference committees, furthering innovation and educational discourse in music.

Alireza Furutanpeyمشاهده پروفایل

پژوهشگر

• Edge Computing
• Edge Intelligence
• Distributed Inference
• +۳ مورد دیگر

Alireza Furutanpey is a University Assistant (PreDoc Researcher) at TU Wien's Distributed Systems Group within the Institute of Information Systems Engineering, holding a Master's degree with distinction. His academic role combines research in distributed systems with teaching responsibilities for core computer science courses. His educational background includes: Bachelor of Science (BSc) Master of Science (Dipl.-Ing.) with distinction Furutanpey's research centers on Edge Computing and Edge Intelligence, specializing in Distributed Inference, Neural Data Compression, and AI-Systems integration. He pioneers techniques for neural feature compression in satellite/edge environments and develops frameworks for federated learning orchestration under communication constraints. His work bridges theoretical AI with practical system implementation, focusing on resource-constrained scenarios where bandwidth and computational efficiency are critical. Analysis of his 15+ publications reveals dominant trends in neural compression for distributed systems (60%), federated learning optimization (25%), and serverless edge frameworks (15%). Key contributions include solving satellite downlink bottlenecks through feature compression and enabling adaptive inference in heterogeneous edge networks, with methodologies increasingly incorporating generative modeling and robustness against adversarial attacks. Scientific Awards: None documented in available sources. He actively supervises master's theses, guiding students on adversarial machine learning, neural compression, and image retrieval systems. His research is supported through major projects: AloTwin (2023-2025) focusing on edge intelligence, INTEND (2024-2026) on industrial IoT, and TEADAL (2022-2025) on federated learning. He serves as a reviewer for 15+ IEEE/ACM venues including IEEE Transactions on Mobile Computing and ICDCS. Furutanpey operates within TU Wien's Distributed Systems Group, which specializes in edge-cloud continuum research. The team develops tools like faas-sim for serverless edge simulation and explores quantum-classical hybrid architectures, maintaining strong industry collaborations in industrial IoT and satellite communications.

Annamária Neagمشاهده پروفایل

پژوهشگر

• Media Literacy
• Digital Civic Activism
• Inclusive Media Education
• +۳ مورد دیگر

Annamária Neag , a researcher at the Faculty of Arts, University of Groningen , specializes in media literacy , digital civic activism , and inclusive media education . Her work bridges digital media studies and social inequalities , focusing on children, youth, and vulnerable populations like unaccompanied refugees. Key Roles : Coordinator of the 'Communication, Information & Social Inequalities in a Digital World' Sector Plan theme, member of the Digital Inclusion Lab, associate investigator at the ARC Centre for Excellence for the Digital Child, and editorial board member of the Journal of Media Literacy Education . Research Highlights : PI of an international comparative project on youth civic engagement (Fridays for Future movement in Czechia and Hungary); Marie Curie Postdoctoral Fellowship on digital technology use by refugee youth; historical analysis of media literacy policy in Hungary. Publications emphasize digital activism , media literacy for marginalized communities , and ethical research practices . Recent works include studies on youth wellbeing in digital activism, embodied technology use among refugees, and policy frameworks for inclusive media education. Scientific Awards : Marie Curie Postdoctoral Fellowship. Teaching : Supervises master’s theses and teaches courses on media production, digital transformations, and media use analysis. Committees : Member of the Research Ethics Review Committee (CETO), Faculty of Arts.

Jean-François Arguinمشاهده پروفایل

استاد

• Experimental Particle Physics
• High Energy Physics
• Supersymmetry
• +۵ مورد دیگر

Prof. Jean-François Arguin is a Full Professor at the University of Montreal's Department of Physics, affiliated with the Faculty of Arts and Sciences. He leads research in experimental particle physics through the ATLAS experiment at CERN's Large Hadron Collider (LHC). His work focuses on discovering new physics phenomena, including supersymmetry, dark matter, and top quark studies using advanced machine learning techniques. He has held leadership roles in ATLAS, coordinating top quark and pixel detector research. Education: Ph.D. 2005, University of Toronto (Top Quark Mass Measurement) M.Sc. 2000, Université de Montréal (Particle Physics) B.Sc. 1998, Université de Montréal (Physics-Mathematics) His research explores the LHC's tera-electron-volt energy frontier, targeting discoveries like supersymmetry and dark matter. He employs machine learning for data analysis and detector optimization. Key projects include ATLAS upgrades and silicon pixel detector development. Publications highlight ATLAS collaborations' findings on supersymmetry, top quark physics, and detector performance. Awards include the Tanaka Prize and recognition from the American Physical Society. Awards: Tanaka Prize (APS), Association of American Universities Award Grants: Multiple NSERC and Canadian Innovation grants for ATLAS research, detector upgrades, and machine learning applications. He advises over a dozen graduate students on topics like electron identification, supersymmetry searches, and detector mechanics. His lab focuses on advancing particle physics through cutting-edge experimental and computational methods.

• Machine Learning
• Artificial Intelligence
• Distributed Optimization
• +۳ مورد دیگر

Professor Kin K. Leung is the Tanaka Chair Professor at Imperial College London, holding dual appointments in the Electrical and Electronic Engineering and Computing Departments. He leads the Communications & Signal Processing Group and has served as Deputy Director of the University Research Defence Centre. His research spans machine learning, quantum computing, wireless communications, and distributed systems. Leung earned a Ph.D. in Computer Science from UCLA (1985) and has held prestigious roles including IEEE Fellow (2001), Fellow of the Royal Academy of Engineering (2022), and Member of Academia Europaea (2012). Research interests include AI-driven network optimization, 6G cellular networks, and distributed quantum computing. He leads EPSRC-funded projects like TITAN Com Hub and HASC Com Hub, focusing on network-of-networks and all-spectrum connectivity. His work on federated learning, edge computing, and SDN resource management has been recognized through awards like the IEEE Communication Society Best Survey Paper (2022). Leung has over 30 years of industry experience at Bell Labs, AT&T, and Lucent, advancing wireless technologies. His funded projects include DAIS-ITA (U.S.-UK collaboration) and SmartEN for environmental sensing. He edits journals like ACM Computing Surveys and IEEE Transactions on Mobile Computing, contributing to both theory and application in communication networks.

Elvira-Maria Restrepoمشاهده پروفایل

دانشیار

• Transitional Justice
• Peacebuilding
• Online Deliberation
• +۳ مورد دیگر

Elvira-Maria Restrepo is an Associate Professor of International Studies at George Washington University with a primary appointment in the Honors University Program and a secondary appointment in the Elliott School of International Affairs. She holds a PhD in Politics from Oxford University, an LLM from Harvard Law School, and a JD from the Universidad de los Andes in Bogotá. Her research focuses on Transitional Justice, Peacebuilding, Online Deliberation, and Cybercrime. Notably, she served as a special advisor to Colombia's President Juan Manuel Santos on peacebuilding from 2016-2017 and is a Board Member of the Universidad de los Andes. Her current research includes a book project on Colombia's Special Jurisdiction for Peace for Palgrave Macmillan. Key areas of expertise include analyzing political discourse in social networks, transitional justice frameworks, and cybersecurity implications of online behavior. Restrepo was nominated for the Harry Harding Teaching Award in 2022. Her publications span interdisciplinary topics such as extrajudicial killings in Colombia, digital democracy mechanisms, and the role of social media in fostering adversarial aggregates like ISIS.

Mimi Zouمشاهده پروفایل

استاد

• AI and Blockchain Law
• Technology Regulation
• Commercial Law
• +۳ مورد دیگر

Professor Mimi Zou is the Head of School at the School of Private & Commercial Law, University of New South Wales. She holds degrees from the University of Sydney (B.Ec SocSci with Medal & Hons 1, LLB Hons 1) and the University of Oxford (BCL with Distinction, DPhil). Her research focuses on AI and blockchain law, technology regulation, and their implications for commercial and private law. She has held senior roles globally, including Chair in Commercial Law at the University of Exeter and a pioneering Fellowship in Chinese Law at Oxford. She founded Oxford’s first lawtech lab and advises UK government bodies on technology governance. Her research interests include the regulatory challenges posed by emerging technologies, digital assets, and ethical AI practices. Notable contributions include co-editing the Cambridge Handbook of Generative AI and the Law (2025) and leading projects on legal innovation and tech-based dispute resolution. She has secured significant grants, including a £500,000 project on Deep Tech Dispute Resolution at Oxford and leadership in the £30M China Prosperity Fund Programme. Zou has received prestigious awards including the 2024 Global Australian Award for Technology and the British Academy Talent Development Award. Her work has been featured in Financial Times , NY Times , and The Economist . She is a Visiting Fellow at Oxford, and advises international bodies like the G7 and World Economic Forum on tech governance.