جست‌وجوی استاد و پژوهشگر

• Computational Linguistics
• Corpus Linguistics
• Discourse Analysis
• +۶ مورد دیگر

Amir Zeldes is an Associate Professor in the Department of Linguistics at Georgetown University, where he leads the Corpling@GU Corpus Linguistics lab. He serves as President of the ACL Special Interest Group on Annotation (SIGANN). His primary research focuses on computational models of discourse, including referentiality and discourse relations, leveraging multilayer corpus studies to advance NLP and linguistic theory. Zeldes holds a Ph.D. from Humboldt Universität zu Berlin, complemented by an M.A. and B.A. in linguistics from Humboldt and the Hebrew University of Jerusalem. His work emphasizes discourse analysis, coreference resolution, and annotation frameworks, with contributions to Universal Dependencies treebanks and discourse parsing benchmarks like DISRPT. Zeldes has authored influential texts such as Multilayer Corpus Studies (2018/2020), exploring methodologies for parallel linguistic analyses. His research bridges theoretical linguistics and computational tools, addressing challenges in discourse signaling, entity salience, and cross-linguistic NLP applications. Zeldes' lab develops open-source tools for corpus creation and annotation, fostering interdisciplinary collaboration in computational linguistics. His recent projects include advancing discourse relation parsing, LLM evaluation, and historical language restoration through RNN models. Despite no listed awards, his extensive grants and publications reflect significant academic impact in NLP and corpus linguistics.

Vittoria Di Stefanoمشاهده پروفایل

مدرس

• Contemporary Art
• Installation Art
• Cultural Narratives
• +۳ مورد دیگر

Dr. Vittoria Di Stefano is a Lecturer at the School of Art, RMIT University (Melbourne, Australia), specializing in contemporary installation art and cultural narratives. Her practice explores materiality, spatial storytelling, and the intersection of art with architectural and environmental contexts. Her creative works include installations such as Pears on a Willow (2024), The Dusking Room (2023), and The Palace at 4pm (2022), exhibited in venues like Gertrude Contemporary and Blindside. She is open to supervising Masters and PhD students in research-based art projects, such as the 2025 project Jindgo Story: Korean Shamanism and the Art of Displacement . Di Stefano’s research focuses on material exploration, site-specific art, and conceptual frameworks in contemporary visual practice. Her work often interrogates themes of memory, transformation, and cultural symbolism through sculptural and immersive installations.

Liu Yangمشاهده پروفایل

استاد

• Cybersecurity
• Software Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Liu Yang is a full Professor and University Leadership Forum Chair at the School of Computer Science and Engineering, Nanyang Technological University (NTU). He holds the President’s Chair in Computer Science and Engineering and serves as Executive Director of the Cyber Research Programme Office and Cyber Security Research Centre @ NTU. His research focuses on Cybersecurity, Software Engineering, and Artificial Intelligence, with contributions in formal verification, program analysis, and deep learning systems. He leads projects like the Securify initiative and develops tools such as the Process Analysis Toolkit (PAT) for system verification. Education: Ph.D. (2010) and Bachelor of Computing Science (2005) from National University of Singapore. Research Interests: Cybersecurity (malware analysis, vulnerability detection), Software Engineering (formal verification, program analysis), AI (security, robustness, explainability), and Automotive Security. His work bridges formal methods, program analysis, and machine learning to address challenges in secure systems and autonomous systems. Notable Achievements: Over 6000 citations (2020), H-index 38, awards include Nanyang Assistant Professor (2013), NRF Investigatorship (2020), and ACM Distinguished Speaker. His research spans journals like IEEE Transactions on Software Engineering and conferences such as NeurIPS, CVPR, and ICSE. Grants and Leadership: Principal Investigator of grants totaling over 5M SGD, including projects on vulnerability detection, formal verification, and cybersecurity. Organizes international conferences like ASE, ICSE, and FM, and serves on editorial boards such as IEEE Access. Labs/Teams: Leads the Cyber Security Research Centre @ NTU and collaborates on projects like the HP-NTU Digital Manufacturing Corp Lab and the National Satellite of Excellence in Singapore.

• Bioinformatics
• High-Performance Computing
• Parallel Algorithms
• +۳ مورد دیگر

Lukas Hübner is a Doctoral Researcher at the Karlsruhe Institute of Technology (KIT) and a Visiting Scientist at the Heidelberg Institute for Theoretical Studies (HITS) . He holds a B.Sc. in Molecular Biotechnology from Heidelberg University and an M.Sc. in Computer Science from KIT. His research focuses on integrating computational methods with biological data analysis, particularly in phylogenetic inference, high-performance computing, and parallel algorithm design. He explores fault-tolerant systems, MPI optimizations, and reproducibility in computational workflows. Key research interests include: Parallel algorithms for large-scale phylogenetic analysis Optimization of MPI-based distributed systems Reproducibility in high-performance computing Fault-tolerance mechanisms in parallel algorithms His work often bridges computer science and bioinformatics, addressing challenges in genetic data processing and algorithm scalability. Recent publications emphasize techniques like memoization for genealogical forests and zero-overhead C++ bindings for MPI. He has collaborated on tools like RAxML-NG and ReStore, advancing robust computational methods for phylogenetic studies.

Jacob Birk Jensenمشاهده پروفایل

دانشیار

• Hydrology
• Groundwater Modeling
• Urban Hydrology
• +۷ مورد دیگر

Jacob Birk Jensen is an External Associate Professor in the Department of Construction, Urban and Environmental Engineering at Aalborg University, Faculty of Engineering and Science, Denmark. His work bridges hydrology, environmental engineering, and stochastic modeling, with a focus on groundwater systems and urban hydrology. Department: Department of Construction, Urban and Environmental Engineering School: Faculty of Engineering and Science University: Aalborg University Position: External Associate Professor His research interests include groundwater modeling, inverse modeling, stochastic methods, eco-hydrology, and urban drainage systems. He applies reliability theory and probabilistic modeling to assess hydrological risks and environmental impacts, particularly in groundwater-dependent ecosystems and agricultural landscapes. The recent publications show a strong trend in integrated modeling approaches, such as coupling SWAT and MODFLOW to evaluate streamflow responses to groundwater abstraction. His work spans environmental sustainability, agricultural hydrology, and coastal engineering, reflecting a multidisciplinary approach to water resource challenges. Keywords across his research include hydrology, groundwater abstraction, eco-hydrology, reliability methods, and urban drainage. He has contributed to significant research projects including: Application of Reliability Theoretical Methods in Hydrological Simulations Eco-hydrological Modeling of Stream Valleys Impact of Rising Groundwater Tables on Agricultural Land Use Rotating Wave Energy Absorber Development Jacob Birk Jensen has advised PhD students such as O. Johansen and M. L. Fejerskov. While no formal scientific awards are listed, his publications are well-cited, particularly in the areas of groundwater abstraction and fen ecosystem responses. He has also delivered lectures at international conferences, including the International Multidisciplinary Conference on Hydrology and Ecology. His research group, the Urban Hydrology section, focuses on infrastructure, hydraulic engineering, and environmental technology, contributing to sustainable urban water management and climate resilience.

Chung-chieh Shanمشاهده پروفایل

دانشیار

• Programming Languages
• Probabilistic Programming
• Formal Semantics
• +۳ مورد دیگر

Chung-chieh Shan is an Associate Professor in the Department of Computer Science at Indiana University. He has held roles including Assistant Professor at Indiana University (2013–2019), Visiting Assistant Professor at Cornell University (2011), and Researcher at the University of Tsukuba (2012). His research focuses on programming languages, probabilistic programming, and formal semantics, with contributions to modular programming and computational linguistics. Education: PhD in Computer Science from Harvard University (2005), BA in Mathematics from Harvard (1999). His dissertation explored linguistic side effects, bridging computational effects and natural language phenomena. Research Interests: Shan develops probabilistic programming languages to modularize stochastic models and inference algorithms. His work spans formal semantics, logic, and computational linguistics, emphasizing the interplay between programming language constructs and linguistic meaning. Recent projects include symbolic disintegration for probabilistic programs and DSL design for efficient code generation. Awards: Notable recognitions include the 2009 Best Paper Award at Domain-Specific Languages Conference, the 2006 Beth Dissertation Award, and a First Place win in the 2001 ICFP Programming Contest. Teaching: Shan teaches courses such as Probabilistic Programming and Advanced Functional Programming, emphasizing practical applications of theoretical concepts. His teaching spans both undergraduate and graduate levels at Indiana, Rutgers, and other institutions. Professional Activities: Editorial board member of Semantics and Pragmatics , and program committee member for conferences like ICFP and POPL. Active in organizing workshops on probabilistic programming and programming language theory.

Stefan Zellmannمشاهده پروفایل

دانشیار

• Scientific Visualization
• Computer Graphics
• High-Performance Computing
• +۴ مورد دیگر

Stefan Zellmann is an Associate Professor and Principal Investigator of the DFG Project 'VTV-AMR' at the Institute of Computer Science , University of Cologne. His research focuses on the intersection of large-scale scientific visualization and high-performance computing, particularly in developing real-time rendering algorithms for adaptive mesh refinement (AMR) data. He leads projects such as ExaBrick (AMR rendering framework) and Visionaray (cross-platform ray tracing library). Education & Roles: Completed his PhD in 2014 on 'Interactive High-Performance Volume Rendering'. Currently teaches courses on graphics processor architectures and programming, including Practical Computer Science: Architecture and Programming of Graphics and Coprocessors . Research Interests: Direct volume rendering, physically based rendering, AMR visualization, GPGPU computing, and FPGA programming. His work emphasizes low-latency interaction and efficient algorithms for supercomputers/multi-GPU systems. Awards: Honorable Mention @EGPGV 2020, Best Paper Awards @EGPGV 2018 (for Rapid k-d Tree Construction ), @VDA 2017 (for Ray Clipping ), and @PDCS 2012 (for Distributed Volume Rendering Architecture ). Key Projects: ExaBrick (AMR rendering), Visionaray (ray tracing), Virvo (volume rendering library), and HPSC TerrSys (high-performance computing in terrestrial systems). Grants & Services: Co-Chair of IEEE LDAV 2022 Posters, Program Committee member for IEEE VIS and EGPGV. Regular reviewer for journals/conferences like TVCG and IEEE VR. Labs/Teams: Part of the Center for Data and Simulation Science (CDS), focusing on visualization algorithms for exascale computing and large-scale scientific data.

• High-Performance Computing
• Big Data Processing
• Performance Portability
• +۳ مورد دیگر

Enes Bajrovic is a researcher affiliated with the Faculty of Computer Science, focusing on high-performance computing (HPC), big data processing, and performance portability. His work spans task-based parallelism, runtime systems, and optimization frameworks for heterogeneous architectures. He has contributed to major European projects like PEPPHER and AutoTune, which aim to advance HPC software tools and autotuning methodologies. His research emphasizes practical applications of parallel computing in domains such as mobile networks and scientific simulations. Education: Dipl.-Ing. Dr.techn., BSc in Computer Science His research interests include developing frameworks for compute- and data-intensive applications, leveraging technologies like Kubernetes, OpenCL, and Intel Xeon Phi coprocessors. He has authored numerous peer-reviewed publications on topics such as pipeline patterns, autotuning algorithms, and hybrid execution models. His work bridges theoretical advancements in parallel computing with real-world software engineering challenges. Bajrovic has collaborated on projects funded by the European Commission’s FP7 program, contributing to deliverables like runtime systems, tuning frameworks, and benchmarking tools. His research also addresses the integration of big data processing with HPC, particularly in telecommunications and distributed computing environments.

Adrian Sampsonمشاهده پروفایل

دانشیار

• Computer Architecture
• Programming Languages
• Hardware-Software Co-Design
• +۴ مورد دیگر

Adrian Sampson is an Associate Professor in the Department of Computer Science at Cornell University, where he is part of the Computer Systems Laboratory and the Programming Languages Group. He leads the Capra research group, focusing on programming languages, computer architecture, and hardware-software co-design. Previously, he was an Assistant Professor at Cornell (2016–2022) and a researcher at Microsoft and Google. Education: Ph.D. in Computer Science and Engineering from the University of Washington (2015), advised by Luis Ceze and Dan Grossman. Dissertation: Hardware and Software for Approximate Computing . B.S. in Computer Science from Harvey Mudd College (2009). Research interests include approximate computing, compiler optimization, hardware accelerators, and formal methods in systems programming. His work on Geometry Types and Reticle has advanced abstractions for graphics programming and FPGA design. Sampson is known for contributions to compiler infrastructure for accelerators, such as the Timeline Types framework for predictable hardware design. Awards include the Cornell Bowers CIS Research Excellence Award (2024), IEEE TCCA Young Computer Architect Award (2021), NSF CAREER Award (2019), and the Google Ph.D. Fellowship in Computer Architecture (2013–2015). He has advised over 30 graduate and undergraduate students, contributing to projects like compiler-driven accelerator simulation and vectorization techniques. Teaching includes courses on compilers, programming languages, and computer architecture at Cornell. He has served on program committees for major conferences (ASPLOS, PLDI, ISCA) and chairs roles in ISCA and ASPLOS. Sampson’s research is supported by grants from NSF, Google, and industry partnerships.

Maria Hybinetteمشاهده پروفایل

دانشیار

• High-Performance Simulation Systems
• Multi-Agent Behavior Modeling
• Financial Market Simulation
• +۳ مورد دیگر

Maria Hybinette is an Associate Professor of Computer Science at the University of Georgia's School of Computing. Her research focuses on high-performance simulation systems, particularly in multi-agent behavior modeling and financial market simulation. She emphasizes hybrid (micro/macro) simulations, optimization for parallel processing, and usability improvements in simulation frameworks. Her work spans over two decades, with notable contributions to agent-based simulation frameworks like ABIDES, Pickle, and SASSY. She has also pioneered methods for parallelization in discrete event simulations, including latency reduction techniques and adaptive caching strategies. Key research areas include stock market dynamics modeling, autonomous agent coordination, and real-time multi-target tracking systems. Her publications consistently explore scalability, computational efficiency, and validation methodologies in simulation systems. Awards and recognition are not explicitly listed in the provided materials. She is affiliated with the Boyd Research and Education Center in Athens, GA, and maintains active collaborations in computational finance and robotics.

Yibo Huangمشاهده پروفایل

پژوهشگر ارشد

• Systems
• Networking
• Security
• +۵ مورد دیگر

Yibo Huang is a Research Fellow at the Department of Computer Science and Engineering (CSE), University of Michigan, working with Prof. Ang Chen. His research focuses on systems, networking, and security, emphasizing hardware-software co-design and ML-driven optimization. He holds a Ph.D. in Computer Science from Fudan University (2021), where he co-advised students under Prof. Jie Wu and Prof. Yang Xu. Notable contributions include the CoNEXT 2022 Best Paper Award and Usenix Security 2023 Distinguished Paper Award for innovations in low-latency interconnects and cloud security. Education: Ph.D. in Computer Science (Fudan University, 2021), B.S. in Software Engineering (Central South University, 2016). Industrial experience includes roles at Bytedance (2020–2022) developing RDMA systems and internships at Intel (2015–2016). Academic service includes roles on program committees for EuroSys, FAST, OSDI, and USENIX Security. Research interests span cloud management (e.g., Cloudless Computing), RDMA-based systems (e.g., Exposing RDMA NIC Resources), and AI-driven experimentation frameworks (e.g., EXP-Bench and Curie). His work bridges theoretical advancements with practical applications in high-performance computing and edge-cloud environments. Key awards include the Distinguished RDMA Programming Instructor (2022), Intel PhD Fellowship (2020), and multiple APAC RDMA Programming Competition prizes. His lab collaborations include projects on disaggregated recommendation systems (FlexEMR) and persistent memory optimization (PFtree). Labs/Teams: Active in the University of Michigan’s CSE division, collaborating with Prof. Ang Chen’s group, and previously part of Fudan University’s Starry Team (focusing on RDMA-enhanced distributed systems).

Martin Dillerمشاهده پروفایل

پژوهشگر

• Formal Argumentation
• AI Systems
• Probabilistic Argumentation
• +۳ مورد دیگر

Martin Diller is a Researcher at the International Center for Computational Logic (ICCL) at TU Dresden, where he has been since May 2019. He is part of the 'Logic Programming and Argumentation' group led by Sarah Gaggl. His current research focuses on formal models of argumentation and their application in AI systems, particularly within the SEMECO interdisciplinary cluster on AI-assisted regulatory workflows for medical systems and cybersecurity. Education: Holds a joint MSc in Computational Logic from TU Wien, TU Dresden, and University of Bolzano (via the EMCL program with an Erasmus Mundus scholarship). Previously completed a MA in Philosophy (Logic & Epistemology) and BSc in Computer Science at Universidad Nacional de Córdoba, Argentina, with postgraduate funding from CONICET. Also conducted research internships at University of Aberdeen, UCL, NICTA (Canberra), and others. Key Projects: Active in the Transregional Collaborative Research Center ‘Foundations of Perspicuous Software Systems’ (2019–2022), and the Center for Scalable Data Analytics and Artificial Intelligence (2023). Currently leads research in probabilistic argumentation and flexible dispute derivations for assumption-based arguments. Key Contributions: Developed the 'flexABle' system for argumentation framework analysis, contributed to admissibility criteria in probabilistic argumentation, and advanced methods for integrating natural language processing with formal argumentation systems. Grants & Funding: Involved in EU-funded interdisciplinary projects and German collaborative research initiatives. Labs/Teams: Core member of the Logic Programming and Argumentation group at ICCL, collaborating with institutions worldwide.

John Youngمشاهده پروفایل

استاد

• Electroacoustic Music
• Acousmatic Composition
• Spectral Composition
• +۱۲ مورد دیگر

John Young is a Professor of Composition at De Montfort University, affiliated with the Leicester Media School within the Faculty of Computing, Engineering and Media. He is a leading figure in electroacoustic and acousmatic music, with a strong research profile centered on sound transformation, narrative construction, and multi-channel audio environments. He is actively involved in the Music, Technology and Innovation Research Centre (MTIRC) and has held significant leadership roles, including Head of Research (2009–2012) and Director of the Graduate School (2014–2017). PhD in Musicology, University of Canterbury (1990) MusB(Hons) John Young's research focuses on the creative use of sound recording, spectral composition, narrative in music, and the integration of historical and environmental sound sources into electroacoustic works. His compositions often merge real-world sound imagery with abstract sonic materials, creating immersive, imaginative experiences. He explores formal scale, spectromorphology, and the role of source recognition in acousmatic music, contributing both artistically and theoretically to the field. His recent artistic output includes major works such as Le Chant en Dehors (2022), SoundPlay (2021), and Red Sky (2015), alongside multi-channel installations like Sun Deck Set Cogitation (2023). His publications span both creative outputs and scholarly articles, with Scaling Form (2024) offering deep insights into formal design in acousmatic music. The works frequently engage with oral histories, poetry, and interdisciplinary collaboration, reflecting a broad and evolving artistic vision. 2022: First Prize, Prix Francis-Dhomont (Le Chant en dehors) 2022: Audience Prize, Destellos Competition (Arioso) 2021: First Prize, Musica Nova (SoundPlay) 2020: First Prize, Musica Nova (Abwesenheit) 2019: First Prize, Klang! Competition (Three Spaces in Mid-Air) 2010: Euphonie d’Or, Bourges (Ricordiamo Forlì) 2007: First Prize, Bourges Competition (Ricordiamo Forlì) John Young supervises postgraduate research students including Eddie Clijsen, Cristiana Palandri, Katie-Jane Howard, and Sol Andersson. His research has been supported by external grants from Arts Council England and the Arts and Humanities Research Council, funding projects such as Red Sky and the DVD-A release Lieu-temps / Of Time and Place . He welcomes students working in electroacoustic composition, spectral music, narrative in sound, and related areas. He has presented keynotes and papers internationally, including at Oxford, IRCAM, and Bournemouth University. John Young is affiliated with the Music, Technology and Innovation Research Centre (MTIRC) at DMU, where he collaborates on interdisciplinary projects involving sound, technology, and innovation. His work often involves immersive audio installations and collaborations with poets, visual artists, and historians, reflecting a deeply integrated creative-research practice.

• Computer Animation
• Visual Effects
• Digital Art
• +۱۲ مورد دیگر

Dr Rehan Zia is a Principal Academic at the National Centre for Computer Animation (NCCA), part of the Faculty of Media and Communication at Bournemouth University, UK. His work integrates visual storytelling, computer animation, visual effects, and digital photography, with a strong emphasis on practice-led research. He teaches across undergraduate and postgraduate programs, supervises PhD students, and has delivered invited lectures internationally on pedagogy, HDR photography, and digital craft. His educational background includes a PhD in Photography/Visual Effects (2020), an MA in Digital Effects (2007), an MSc in Computer Science (2004), and a BSc (Hons) in Computing (2003). These qualifications reflect his interdisciplinary expertise bridging technology and the arts. Rehan’s research interests center on visual storytelling, digital craft, HDR imaging, virtual and augmented reality, serious games for rehabilitation, and the pedagogy of creative arts education. His recent publications explore the fusion of fantasy in therapeutic games, mixed reality data visualisation, and reflexive photographic practice. His work contributes to UN Sustainable Development Goals including Reduced Inequalities, Responsible Consumption and Production, Climate Action, and Partnership for the Goals. His recent scholarly output shows a strong trend toward interdisciplinary research combining art, technology, and healthcare, particularly through VR/AR applications for rehabilitation and heritage visualisation. He frequently publishes in arts and digital media conferences such as EVA London and the International Conference on the Arts in Society. Fellowship of the Royal Photographic Society (FRPS) Fellowship of the Royal Society for Arts (FRSA) Unreal Virtual Production Fellow Certified Nuke Trainer Rehan supervises PhD students including Tahmeena Javaid Adeel (researching fantasy in serious games for rehabilitation) and Maral Khosravi (working on 3D heritage reconstruction). He has been instrumental in developing best practices in creative arts teaching and has led curriculum design initiatives. His outreach includes workshops for schools and public exhibitions of his photographic work. He is actively involved in research, teaching, and public engagement, with no indication of retirement or departure from the institution. He is a key member of the NCCA research community, contributing to projects involving digital heritage, exergames, and immersive storytelling. His practice-led approach ensures that research, teaching, and creative output are deeply interconnected, enriching all three domains.

• Tangible User Interfaces
• Human-Computer Interaction
• Educational Technology
• +۷ مورد دیگر

Dr. Clifford De Raffaele is a Senior Lecturer in Computer Science and Programme Leader for the Computer Science programme at Middlesex University. He holds a PhD in Computer Science from Middlesex University, an MSc in ICT from the University of Malta, and a degree in Electrical Engineering from the same institution. He has previously held senior academic leadership roles, including Associate Director for Academia and Research at Middlesex University Malta and Director for Research and Innovation at MCAST. PhD in Computer Science, Middlesex University (2019) MSc in ICT, University of Malta BSc in Electrical Engineering, University of Malta His research focuses on innovative applications of technology in education, particularly through Tangible User Interfaces (TUIs), knowledge management in micro-enterprises, AI in learning, and biomedical devices. He explores how physical interaction can enhance the understanding of abstract computing concepts such as multi-threading, robotics, and network principles. His work bridges human-computer interaction with pedagogical innovation. His recent publications (2016–2024) demonstrate a consistent focus on educational technology, with recurring themes in TUIs, student engagement, knowledge systems, and adaptive learning. His research often involves collaboration with colleagues such as S. Smith, O. Gemikonakli, and G. Attard, and is published in IEEE, ACM, and Springer venues. A notable achievement includes winning the Best Technical Paper award at the 2020 SGAI International Conference on Artificial Intelligence. Best Technical Paper, 2020 SGAI International Conference on Artificial Intelligence Dr. De Raffaele actively supervises PhD researchers, including Stephen Hall and Antony Kruger, and has led multiple national and EU-funded research projects as principal investigator or lead researcher. He contributes to strategic research policy at the national level and is an executive member of the IEEE Malta Section, indicating strong engagement in both academic and professional communities. He is involved in the development of toolkits like TangiBoard to lower the barrier for TUI implementation in education and continues to innovate in the space of active learning frameworks. His work is centered on making complex computer science topics more accessible through physical and interactive means.