جست‌وجوی استاد و پژوهشگر

• Recommender Systems
• User Modeling
• Personalization
• +۱۱ مورد دیگر

Alan Said is an Associate Professor in the Department of Applied IT at the University of Gothenburg, where he also serves as Head of Education. His research focuses on recommender systems, user modeling, personalization, and the human-centered evaluation of AI technologies. He is actively engaged in promoting responsible, fair, and sustainable AI through interdisciplinary research and community leadership. Research Interests: User Modeling and Personalization Recommender Systems (RecSys) Human-Computer Interaction (HCI) and Human-Centered AI (HCAI) Explainable and Responsible AI Green AI and Environmental Impact of Recommender Systems Reproducibility and Evaluation Methodologies His recent publications reflect a strong trend toward ethical, sustainable, and socially conscious AI, with a focus on fairness in healthcare, environmental cost measurement, and interdisciplinary approaches to recommendation. He contributes extensively to top-tier venues such as ACM RecSys and UMAP. Scientific Awards: ACM Distinguished Speaker Advising and Grants: Alan Said advises students on topics ranging from fairness in AI to human-centered explanations and sustainable recommender systems. He has been involved in organizing workshops and special issues that promote critical reflection and interdisciplinary collaboration in the RecSys community. He has participated in funded research projects, including international collaborations supported by agencies like Vinnova. Labs and Teams: He is a key organizer of the Human-centered AI (HCAI) podcast and has co-organized influential workshops such as BEYOND and INTROSPECTIVES at RecSys, fostering dialogue on the societal and ethical dimensions of AI. His work bridges computer science, psychology, design, and ethics, emphasizing collaboration across disciplines.

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +۳ مورد دیگر

Dr. Mor Geva is a prominent researcher in natural language processing and machine learning, focusing on transformer-based language models, interpretability, and knowledge representation. Their work addresses fundamental questions about model reasoning, uncertainty expression, and factual recall mechanisms. Key research themes: language model interpretability, multi-hop reasoning limitations, numerical encoding, cross-modal knowledge gaps Recent publications analyze gradient projection, attention head functionality, and fallback behaviors under uncertainty 2023-2025 studies reveal insights into factual association recall, knowledge editing ripple effects, and vision-language model interactions. Collaborations span top institutions in ACL, EMNLP, and ICLR venues. Current research explores parametric knowledge tracing, encoder-decoder dynamics, and attention hijacking phenomena. Tools like LM-Debugger enable interactive model inspection, while theoretical work examines base-10 numerical encoding and task vector creation.

Sze Chai Kwokمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Memory Research
• Metacognition
• +۴ مورد دیگر

Sze Chai Kwok is an Associate Professor of Cognitive Neuroscience at Duke Kunshan University and a Faculty Network Member of the Duke Institute for Brain Sciences. He holds a Ph.D. from the University of Oxford (2008) and maintains an active research program in cognitive neuroscience with a focus on memory mechanisms, metacognition, and neuropsychiatric applications. His research explores neural basis of temporal memory, metacognitive introspection, and episodic recall using multimodal approaches including primate neurophysiology, human neuroimaging (fMRI/EEG), and computational modeling. Key interests include: Neural replay mechanisms in memory consolidation Prefrontal and parietal contributions to metacognition Schizophrenia-related memory deficits Cross-species cognitive architectures Publication analysis reveals consistent focus on: 1) neural correlates of memory confidence/vividness, 2) primate-to-human translational models, 3) clinical applications in schizophrenia, and 4) innovative neuroimaging methodologies across 50+ publications. Awards and honors include: Jiangsu 333 Talent Program (2024) Kunshan Shortage Talent Program (2023) Jiangsu Qinglan Award (2021) Elected member of Memory Disorders Research Society (2021) Young IBRO Regions Connecting Award (2020) Shanghai Pujiang Talent Award (2016) Collaborates globally on primate neuroimaging initiatives including PRIMatE Data Exchange (PRIME-DE) consortium. Contributes to open neuroscience resources through Neurovault and international databases.

• Parallel Computer architectures
• High Performance Computing
• Multi-/Manycore architectures
• +۵ مورد دیگر

PD Dr. Josef Weidendorfer is a qualified private lecturer at Technische Universität München (TUM) and leads the Future Computing Group at the Leibniz Computing Centre (LRZ). He holds a dual affiliation with TUM's Department of Informatics, Chair of Computer Architecture and Parallel Systems (Prof. Schulz), and the Leibniz Rechenzentrum der Bayerischen Akademie der Wissenschaften. His work focuses on developing smooth migration strategies for future HPC systems and evaluating novel technologies to improve system-level and workload analysis tools. Weidendorfer's research interests encompass Parallel Computer Architectures, High Performance Computing, Multi-/Manycore architectures, GPGPU, Performance analysis and optimization, Cache Simulation, Virtual Machines, and dynamic code generation. He is particularly interested in strategies for improving computational efficiency across various hardware structures, including specialized accelerator hardware for HPC codes. He regularly organizes the UCHPC workshop (since 2010 with Euro-Par) about unconventional hardware for HPC computing and is co-organizer of the PSTI workshop series. His recent publications reveal a strong focus on HPC system optimization, with particular emphasis on load balancing techniques, cache partitioning, application malleability, and performance monitoring. The research trajectory shows increasing attention to practical implementation challenges in modern heterogeneous computing environments, especially regarding GPU utilization, resource partitioning under power constraints, and phase-aware system monitoring. Weidendorfer maintains the open-source tools Callgrind/KCachegrind for cache simulation and has supervised numerous student projects across bachelor's, master's, and guided research programs. He teaches courses including Virtualization Techniques, Parallel Programming Systems, and Advanced Computer Architecture, demonstrating strong commitment to both research and education in computer architecture and parallel systems. As principal investigator for multiple large-scale projects including EU Project SEANERGYS (2025-2028) and BMBF Project ScalNext (2022-2025), he leads significant research initiatives focused on future computing technologies and HPC system development.

Marnix Naberمشاهده پروفایل

استادیار

• Visual Perception
• Consciousness
• Psychophysiology
• +۱۲ مورد دیگر

Dr. Marnix Naber is an Assistant Professor at the Department of Experimental Psychology, Faculty of Social and Behavioural Sciences, Utrecht University. He leads the Psychophysiology of Perception Laboratory and maintains a collaboration with Harvard University's Vision Sciences Lab. Current affiliations: Utrecht University (Experimental Psychology), Neurolytics (HR technology), and Holland Startup (external PhD supervision) Previous roles: Leiden University (Cognitive Psychology Unit), Harvard University (Vision Sciences Lab), Philipps-University Marburg (Neurophysics PhD) Research Focus: Integrates psychophysiology with visual perception and consciousness studies. Key methods: pupillometry, EEG, eye tracking, remote photoplethysmography, and computational modeling. Applications span clinical diagnostics, human-centered AI, and HR technology. The 2013-2022 publications show strong emphasis on pupil dynamics (7/15), binocular rivalry (2/15), and remote physiological measurement (3/15). Methodological contributions include open-source MATLAB rPPG tools and standardized reporting frameworks. Scientific Impact: ERC Consolidator grant supporting AttentionLab research NWO grant for 2013 imitation studies Google Scholar: Q4HBMeoAAAAJ Advising: Supervises multiple PhD and Master's students across experimental psychology, ophthalmology, and neurotech domains. Laboratory Activities: Develops and shares open-source tools like rPPG for heart rate detection and maintains active collaborations with medical (UMC Utrecht), tech (Neurolytics), and academic institutions (Harvard, Leiden).

• Animal Welfare
• Animal Ethics
• Animal Consciousness
• +۵ مورد دیگر

Heather Browning is a Lecturer in Philosophy at the University of Southampton's Department of Philosophy within the Faculty of Arts and Humanities. She completed her PhD at the Australian National University in 2020 with a dissertation titled 'If I Could Talk to the Animals: Measuring Subjective Animal Welfare.' Her academic journey includes research positions at the London School of Economics as part of the Foundations of Animal Sentience project. Dr. Browning's research focuses on animal welfare, ethics, and consciousness, with particular expertise in measuring subjective animal welfare and sentience. Her work spans philosophy of biology, animal minds, and well-being studies, addressing both theoretical and practical aspects of animal welfare science. She has made significant contributions to understanding animal sentience, particularly through her work on the DEFRA report reviewing evidence of sentience in cephalopod molluscs and decapod crustaceans. Her scholarly output demonstrates a consistent focus on integrating sentience research with welfare science, developing methods for validating indicators of subjective animal welfare, and exploring the ethical implications of animal consciousness. Recent publications examine topics ranging from animal feelings and welfare assessment to consciousness in corvids and the welfare implications of farmed insects. Dr. Browning has established a productive research collaboration with Walter Veit, resulting in numerous co-authored publications across multiple disciplines including philosophy, cognitive science, and bioethics. Her work appears in high-impact journals such as Journal of Consciousness Studies, Behavioral and Brain Sciences, and American Journal of Bioethics Neuroscience. She has contributed to important policy discussions through her research on animal sentience, which has informed legislative changes regarding animal welfare. Her interdisciplinary approach bridges philosophy, biology, and ethics to address pressing questions about how we understand and measure animal welfare across different species and contexts. Dr. Browning's research program addresses fundamental questions about animal welfare measurement while maintaining strong connections to practical applications in animal welfare science and policy. Her work on perspectival pluralism for animal welfare offers a comprehensive framework for understanding this complex phenomenon through multiple theoretical perspectives.

Anthony J H Simonsمشاهده پروفایل

مدرس ارشد

• Model-Based Testing
• Model-Driven Engineering
• Cloud Computing
• +۵ مورد دیگر

Dr Anthony J H Simons is a Senior Lecturer in the Department of Computer Science at the University of Sheffield, where he serves as Deputy Director of UG Admissions. He is a member of the Testing research group and has been affiliated with the university since completing his PhD there. His academic journey spans several decades, moving from speech recognition systems to object-oriented programming languages and currently focusing on model-based testing and cloud computing applications. Dr Simons holds an MA in Modern Languages from the University of Cambridge and a PhD in Computer Science from the University of Sheffield. His educational background in both humanities and technical fields has informed his interdisciplinary approach to software engineering research. His primary research interests center around turning formal verification results into practical software engineering benefits. Currently, he investigates Model-Based Testing and Model-Driven Engineering with applications to Cloud Computing. Earlier in his career, he made significant contributions to object-oriented software engineering, including type theory and software development methods. He is the inventor of the JWalk automatic software testing tool for Java and the JAST library for processing XML in Java, and co-author of the OPEN Toolbox of Techniques. His work bridges theoretical computer science with practical software development needs. Analysis of his recent publications reveals a clear trajectory from foundational work in object-oriented type theory to applied research in cloud computing and model-based testing. His scholarship demonstrates consistent focus on formal methods applied to practical software engineering challenges, with increasing emphasis on cloud infrastructure testing and verification in recent years. Dr Simons has secured significant research funding as Principal Investigator, including the Broker@Cloud project (EC-FP7, £323,688, 2012-2015), Future Engineering System (InnovateUK, £199,874, 2016-2019), and Ferromone Trails Concept (Department for Transport, £24,635, 2017). He has supervised numerous undergraduate and masters' projects throughout his career and continues to mentor students despite being semi-retired. He leads the Testing research group at Sheffield and has developed several research projects including CatWalk (a software testing tool for Java), ReMoDeL (a conceptual modeling language), and tools for verifying specifications and generating tests for software services in the cloud. His research has practical applications in cloud service brokerage and quality assurance.

• Operating Systems
• Virtualization
• Cloud Computing
• +۵ مورد دیگر

Orran Krieger is a Professor in the Department of Computer Science at Boston University's College of Engineering with a distinguished research career spanning over three decades. His work has significantly influenced the fields of operating systems, virtualization, and cloud computing, with publications in top-tier venues including OSDI, EuroSys, and USENIX ATC. Krieger's research interests focus on operating system design, virtualization technologies, cloud infrastructure, resource management, and performance optimization. His early work on the HFS file system and NUMAchine multiprocessor laid foundational work in system architecture, while his more recent research addresses contemporary challenges in cloud computing, unikernels, and energy-efficient network applications. His research consistently bridges theoretical insights with practical system implementations. Analysis of Krieger's recent publications reveals a strong focus on cloud-native technologies, particularly unikernels, resource isolation techniques, and performance-energy tradeoffs in network applications. His work demonstrates a consistent evolution from traditional operating system concerns to modern cloud infrastructure challenges, with particular emphasis on security, performance optimization, and resource management in distributed environments. The collaborative nature of his work is evident through numerous co-authorships across institutions. Krieger has mentored numerous researchers who have become prominent in the systems community, including Jonathan Appavoo, Dilma Da Silva, and Peter Desnoyers. His leadership in projects like the Open Cloud Testbed demonstrates his commitment to creating research infrastructure for the broader community. His work has been supported by significant research grants focused on cloud infrastructure and operating system innovation. As a key contributor to the K42 operating system project and more recently to the Open Cloud Testbed initiative, Krieger has helped establish research platforms that have enabled significant advances in operating system research and cloud computing. His ongoing research continues to address fundamental challenges in system architecture for modern computing environments.

• Cybersecurity
• Ransomware detection
• Network security
• +۵ مورد دیگر

Peter McLaren is an Associate Professor at the School of Computing, Edinburgh Napier University, specializing in cybersecurity research with a focus on ransomware detection, memory analysis, and secure communications. His work bridges theoretical cryptography with practical security applications, particularly in virtual environments. Dr. McLaren completed his PhD research titled 'Investigations into Decrypting Live Secure Traffic in Virtual Environments' between 2016 and 2019 at Edinburgh Napier University, supervised by Dr. Gordon Russell, Prof. Bill Buchanan, Dr. Thomas Tan, and Prof. Hazel Hall. His doctoral work laid the foundation for his current research directions in memory-based decryption techniques. His research interests center on practical cybersecurity solutions, particularly focusing on decrypting secure communications in virtual environments, ransomware detection mechanisms, and memory analysis for cryptographic artifact extraction. McLaren's work addresses critical security challenges including malware command and control channel detection, live SSH traffic decryption, and identifying vulnerabilities in encryption implementations like ChaCha20. His research has significant applications for law enforcement and cybersecurity professionals seeking to analyze encrypted malicious communications. McLaren has secured multiple research grants including MEMCRYPT CyberASAP Phase 2 (£52,310 from Innovate UK, 2020-2021), Memcrypt (HGSP) (£109,883 from Scottish Enterprise, 2020-2021), and MemoryCrypt (£10,759 from The Scottish Informatics & Computer Science Alliance, 2019-2020), all focused on developing novel approaches to detect encryption keys and combat ransomware threats. He works collaboratively within Edinburgh Napier's cybersecurity research group, frequently partnering with Prof. Bill Buchanan, Dr. Gordon Russell, and Dr. Thomas Tan on publications and research projects. Their collective work has produced significant contributions to memory-based decryption techniques and ransomware detection systems.

Lars Hallمشاهده پروفایل

پژوهشگر

• Cognitive Science
• Decision Making
• Perception
• +۳ مورد دیگر

Lars Hall is a Researcher in Cognitive Science at the Department of Philosophy, Lund University. His work focuses on choice blindness, decision-making processes, and the integration of sensory feedback with cognitive self-monitoring. He is affiliated with the Choice Blindness Lab (http://www.lucs.lu.se/choice-blindness-group/), exploring how people fail to notice discrepancies between their intentions and outcomes. Research Interests: Choice Blindness and Introspection Sensory Feedback Mechanisms Decision Dynamics Social Judgment and Interaction Neuroscience of Perception Philosophy of Mind and Cognition Articles Trends: Hall's recent work (2020-2024) addresses how manipulated feedback influences attitudes, decisions, and emotional states. Key themes include false feedback's impact on voter behavior, intergroup dynamics, and neurotechnology implications. His studies often use experimental paradigms like real-time speech manipulation and gaze tracking. Awards: None explicitly listed in provided texts. Advising & Grants: Supervised PhD projects include neurocognitive basis of confabulation, semantic self-monitoring in speech, and eye movement intention studies. Active in Lund University's VR Lab and Cognition & Philosophy initiatives. Labs/Teams: Principal investigator at the Choice Blindness Lab, collaborating with interdisciplinary teams in neuroscience, psychology, and philosophy.

Jerome Sackurمشاهده پروفایل

استاد

• Cognitive Science
• Psycholinguistics
• Consciousness Studies
• +۵ مورد دیگر

Jerome Sackur is a Professor at the École des Hautes Études en Sciences Sociales (EHESS) and a key member of the Laboratory of Cognitive Sciences and Psycholinguistics (LSCP) in Paris, France. He is based in the Jaurès Building at 29 rue d'Ulm and serves as Deputy Director of the LSCP, contributing to both research leadership and cognitive science advancement. His research centers on the subjective correlates of cognitive mechanisms , exploring how individuals access and report internal mental states. This includes investigations into metacognition, conscious awareness, and the reliability of introspection. His work bridges experimental psychology, neuroscience, and philosophy of mind. Dr. Sackur's scientific contributions focus on understanding the boundaries and accuracy of human self-monitoring in perception and decision-making. Though specific publications and awards are not listed in the provided text, his affiliation with LSCP—a renowned interdisciplinary research unit—underscores his active role in cutting-edge cognitive science research. He advises students and potentially leads research projects within the LSCP, particularly in the team focused on Subjective Correlates of Cognitive Mechanisms . While no grants are explicitly mentioned, his position suggests involvement in funded research initiatives. The laboratory environment fosters collaboration across disciplines, with teams working on psycholinguistics, computational modeling, and experimental cognition. Dr. Sackur’s team investigates how cognitive processes become accessible to conscious report, using behavioral and neuroimaging methods.

David M Johnsonمشاهده پروفایل

پژوهشگر

• Computer Systems
• Security
• Networking
• +۵ مورد دیگر

David M Johnson is a Researcher and Software Engineer at the School of Computing, University of Utah, specializing in cloud infrastructure, wireless systems, and network security. He designs and builds software for large-scale testbeds like CloudLab, CapNet, and POWDER, focusing on low-level system interactions and secure network architectures. Research Interests: His work spans computer systems virtualization security forensics software-defined networking (SDN) capability-based network design mobile sensor networks and emphasizes least-privilege principles and end-to-end containment in cloud and wireless environments. Publication Trends: Recent articles highlight his contributions to radio dynamic zones open RAN (Radio Access Network) slicing spectrum sharing secure network capabilities testbed automation kernel-level debugging with a strong focus on open-source tool development for wireless and cloud research. Scientific Recognition: He received the 2024 IEEE DySPAN Award Paper for his work on POWDER-RDZ. Collaborative Efforts: Johnson has worked extensively with teams on projects like A3 (attack diagnosis), Stackdb (stackable debugging), and SeaCat (secure application containment), often bridging systems software with security and network innovations.

Julia Yatesمشاهده پروفایل

مدرس ارشد

• Career Development
• Coaching Psychology
• Organizational Psychology
• +۳ مورد دیگر

Dr. Julia Yates is a Senior Lecturer in the Department of Psychology at City St George's, University of London. Since joining in January 2017, she teaches on the award-winning MSc in Organisational Psychology. Her research focuses on career decision making, career paths of individuals facing barriers, and the integration of career theory with coaching practice. Chartered Psychologist Senior Fellow of the Higher Education Academy Full Member of BPS's Division of Occupational Psychology Fellow of the National Institute of Career Education and Counselling Yates' work spans career development theories, coaching psychology, and organisational psychology. She has published six books including Career Development Theories in Practice (2024) and The Career Coaching Handbook (2022), alongside over 40 peer-reviewed journal articles. Her editorial roles include Co-editor-in-Chief of Coaching: An International Journal of Theory, Research and Practice since 2016. Keynote speaker at 48 international conferences Coached students and practitioners in career theory application Contributed to The Conversation and BBC Radio Advocated for ethical career practices and gender equity Contact: julia.yates.1@citystgeorges.ac.uk

• Multimodal User Interfaces
• Affective Computing
• Social Robotics
• +۶ مورد دیگر

Prof. Dr. Elisabeth André is a Full Professor of Computer Science and Chairholder for Human-Centered Artificial Intelligence at the University of Augsburg. She leads the Human-Centered Artificial Intelligence research team within the Institute of Computer Science, Faculty of Applied Computer Science. Her academic career includes roles such as Managing Director of the Institute of Computer Science (2004-2006) and leadership in major research initiatives like the DFG-funded CEEDs and FORSocialRobots projects. Education: 1988: Diploma in Computer Science from Saarland University (Thesis: 'Generierung natürlichsprachlicher Äußerungen zur simultanen Beschreibung von zeitveränderlichen Szenen') 1995: PhD from Saarland University (Thesis: 'Ein planbasierter Ansatz zur Generierung multimedialer Präsentationen') Research Interests: Focuses on multimodal interaction, affective computing, social robotics, and ethical AI applications. Key areas include embodied conversational agents, emotion recognition systems, and human-centered AI design principles. Awards: 2021 Gottfried Wilhelm Leibniz Prize (Germany's highest research honor) ICMI Sustained Accomplishment Award (2021) Member of Bavarian Academy of Sciences and Humanities (2022) Selected as one of 'Ten Influential Minds in German AI History' (GI, 2019) Grants and Leadership: Has coordinated EU projects (e.g., CEEDs, CALLAS) and led national initiatives. Currently serves on the Bavarian Artificial Intelligence Council and the German Ethics Council for AI. Founded the FMLA Forum for Machine Learning at Augsburg. Labs/Teams: Leads the Human-Centered AI Lab with 20+ researchers including Dr. Michael Dietz, Dr. Matthias Kraus, and Dr. Florian Lingenfelser. Active in interdisciplinary projects like VIVA (social robots) and TherapAI (healthcare applications).

Elliot Paulمشاهده پروفایل

دانشیار

• Contemporary Philosophy
• Epistemology
• Philosophy of Creativity
• +۳ مورد دیگر

Elliot Paul is an Associate Professor in the Department of Philosophy at Queen's University, within the Faculty of Arts and Science. He holds a PhD from Yale University (2009) and a BA from the University of Toronto. His research spans three primary areas: early modern philosophy (focusing on Descartes and clarity), contemporary epistemology, and the philosophy of creativity. Paul’s work includes a forthcoming book, *Clarity First: Re-envisioning Descartes's Epistemology* (Oxford University Press), arguing that clarity is central to Descartes’ philosophy. He also explores creativity’s philosophical dimensions, including agency, mental health correlations, and artificial intelligence. Paul previously served as a Bersoff Fellow at NYU and an Assistant Professor at Barnard College, Columbia University. His current research leaves include a 2022–23 academic year sabbatical. Education: PhD (Yale University, 2009), BA (University of Toronto). Research emphasizes clarity, creativity, and historical epistemology. Key publications include *The Philosophy of Creativity: New Essays* (Oxford, 2014) and articles on Cartesian intuition, creativity’s psychological underpinnings, and Descartes’ anti-transparency thesis. His work bridges analytic philosophy, cognitive science, and interdisciplinary approaches. Publications highlight his focus on Descartes’ clarity, creativity’s cognitive and ethical dimensions, and artificial intelligence’s creative potential. Awards or grants are not explicitly listed, but his cross-joint appointments reflect academic engagement beyond Queen’s.