جست‌وجوی استاد و پژوهشگر

• Parallel Computing
• Distributed Systems
• High-Performance Computing
• +۳ مورد دیگر

Andrew Sohn is an Associate Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT). His research focuses on parallel computing, distributed systems, and high-performance computing, with emphasis on optimizing memory management, virtual machine migration, and cloud infrastructure efficiency. He has led multiple National Science Foundation (NSF)-funded projects, including initiatives on distributed-memory multiprocessors and scalable cloud systems. Education & Background : While specific academic credentials are not detailed, his extensive research output and grant history indicate a strong background in computer science and computational engineering. Research Interests : Dr. Sohn’s work spans distributed memory architectures, multi-processor systems, and cloud resource optimization. His recent studies address challenges in live migration efficiency, energy-efficient VM relocation, and scalable web caching solutions. Grants & Projects : MRI: A PC-based Multithreading Environment (NSF, 1999–2003) U.S.-Korea Cooperative Research on Communication Behavior (NSF, 1997–2000) Performance Studies of the EM-X Multiprocessor (NSF, 1997–2000) Parallelization of Production Systems on EM-4 (NSF, 1993–1993)

• Artificial Intelligence
• Human-Computer Interaction
• Wearable Technology
• +۴ مورد دیگر

Pattie Maes is a Professor affiliated with the Massachusetts Institute of Technology (MIT), known for pioneering work in human-computer interaction, wearable technology, and AI systems. Her research focuses on augmenting human capabilities through innovative interfaces and AI-driven solutions, emphasizing ethical and user-centered design. Her extensive academic contributions span over four decades, with publications in top-tier journals such as ACM Transactions on Computer-Human Interaction , Nature Machine Intelligence , and IEEE Transactions . She has collaborated with institutions globally, advancing fields like affective computing, virtual/augmented reality, and bio-integrated systems. Key research themes include: AI-generated companions and personalized learning systems Wearable devices for health monitoring and subconscious interaction Immersive technologies (VR/AR) for memory enhancement and social interaction Ethical implications of AI and human-AI collaboration Notable projects include: AttentivU: EEG-based learning engagement system ReLive: VR-based autobiographical memory tool Living Memories: AI-generated digital mementos Her work bridges computer science, cognitive science, and design, aiming to create technology that enhances human potential while addressing societal challenges like accessibility and mental well-being.

• Architectural Technology
• 3D Modeling
• Building Information Modelling (BIM)
• +۵ مورد دیگر

James Charlton is a Researcher in the Department of Architecture and Built Environment at Northumbria University's School of Design. He holds a PhD in 3D Design (2012) and became a Fellow of the Higher Education Academy (FHEA) in 2016. His work focuses on advancing architectural and urban design through digital technologies, including Building Information Modelling (BIM), 3D visualization, and laser scanning. Charlton leads high-impact projects in smart cities, digital twins, and sustainable disaster relief shelters, blending technical innovation with practical urban planning solutions. His research interests span architectural technology, urban design, and the integration of digital tools into education and heritage preservation. Notable outputs include studies on phygital urban planning engagement and biodesign for disaster resilience. Charlton actively contributes to academic discourse through peer-reviewed journals and conferences, while maintaining roles as a subject expert in architectural project evaluations. Charlton has published on topics ranging from VR wayfinding simulations to heritage-driven immersive experiences, demonstrating a commitment to both technological advancement and community-focused urban development. His work is accessible via the Virtual NewcastleGateshead portal and his academic profile on Northumbria's Research Link.

• Geographic Information Systems (GIS)
• Transportation Systems
• Mobile Computing
• +۳ مورد دیگر

Bratislav B. Predić is a Full Professor at the Faculty of Electronics in Niš, University of Niš, Department of Computing and Informatics. He began his academic career as an Assistant Trainee in 2004 and was elected to his current rank in 2024. He graduated in 2003 from the same faculty (Department of Electrical Engineering and Computer Science), and holds a master's and doctorate in related fields. His research focuses on mobile geographic information systems (GIS), transportation systems, data analysis, and algorithm optimization for real-world applications. Key research interests include context-aware mobile GIS frameworks, automatic vehicle location systems (AVL), and large terrain rendering algorithms. He has authored/co-authored multiple papers in journals and conferences such as WSEAS Transactions on Computers, AGILE Conference, and IASTED International Conferences. His work spans transportation optimization, meteorological visualization, and embedded GIS systems. Currently, he participates in 2 national and 1 international scientific projects. His laboratory and collaboration work involves developing practical solutions for urban mobility, field work automation, and cloud-based geospatial systems. Contact: bratislav.predic@elfak.ni.ac.rs

• Eyewitness Identification
• False Memory Development
• Legal Psychology
• +۴ مورد دیگر

Rachel Greenspan is an Assistant Professor in the Department of Criminal Justice & Legal Studies at the University of Mississippi (Ole Miss), housed within the School of Applied Sciences. Her research bridges social psychology and legal systems, focusing on eyewitness identification accuracy, false memory development, and the intersection of technology with justice practices. She has been funded by the National Science Foundation and the Newkirk Center for Science and Society, and her work appears in journals like Law and Human Behavior and Memory and Cognition . Education: B.A. Criminology, University of Florida (2013) B.S. Psychology, University of Florida (2013) M.A. Social Ecology, University of California-Irvine (2015) Ph.D. Psychology, University of California-Irvine (2018) Postdoctoral Fellowship at the Quattrone Center for the Fair Administration of Justice, University of Pennsylvania School of Law (2020) Research interests emphasize improving legal procedures through psychological insights, including the use of artificial intelligence in eyewitness lineups, the societal impact of true crime media, and the reform of prosecutorial accountability policies. Her work frequently employs experimental methods to assess real-world legal outcomes, such as police policy compliance and courtroom testimony reliability. Recent articles explore topics like AI-generated facial recognition in forensic contexts, open science practices in criminal justice research, and public opinion on prosecutorial liability. These studies highlight her dual focus on advancing both theoretical understanding and practical policy applications. Professional contributions include grants from NSF and Newkirk, and she advises on institutional policies related to artificial intelligence in higher education. Her post-doctoral work at the Quattrone Center directly influenced her applied research in criminal justice reform.

• Continual Learning
• Deep Learning
• Distributed Learning
• +۳ مورد دیگر

Vincenzo Lomonaco is a Researcher at the University of Pisa's Department of Computer Science, specializing in Continual Learning. He leads the Pervasive AI Lab and holds roles such as Co-Founding President of ContinualAI, a non-profit advancing AI research. His work focuses on deep learning, distributed systems, and AI sustainability, with key contributions including the Avalanche library (winner of the W&B Best Library Award) and foundational research in Continual Learning. Education: PhD in AI from the University of Bologna (2019), recognized as one of Italy's top-5 AI dissertations. Postdoctoral research and visiting roles at institutions like Numenta, Purdue University, and ENSTA ParisTech. Research Interests: Continual Learning dynamics, practical applications, and AI sustainability. Active in industrial collaborations (e.g., Meta, Intel), European projects, and initiatives like FAIR (Future Artificial Intelligence Research). Notable Achievements: Organized the 1st Continual Learning workshop at CVPR 2020, authored an open-access Continual Learning course (430+ students), and co-founded ContinualIST, a University of Pisa spin-off.

• Urban Sustainability
• Sports Injury Prevention
• System Dynamics Modeling
• +۳ مورد دیگر

George Georgiou is an Assistant Professor in the Department of Anatomy and Surgery at the School of Medicine, European University Cyprus. His research focuses on interdisciplinary topics including urban sustainability, sports injury prevention, system dynamics modeling, and public health. He has contributed to studies on agritourism, workplace well-being for the elderly, and digital transformation in banking. His work integrates quantitative methods like structural equation modeling and factor analysis with real-world applications such as smart pedestrian networks and healthcare systems improvement. Dr. Georgiou’s publications highlight his expertise in biomechanics (e.g., ACL injury etiology), sustainable transportation frameworks, and technological innovations like the Smart Pedestrian Network (SPN) system. His research also addresses global health challenges through system dynamics models for knee osteoarthritis prevention and environmental studies on embodied carbon emissions in international trade. Key projects include developing frameworks for active mobility in smart cities, evaluating fatigue effects on athlete performance, and analyzing the strategic role of outsourcing in SMEs. Though no awards are explicitly listed, his prolific output reflects sustained academic engagement across multiple disciplines. His advising and grants focus on interdisciplinary projects bridging healthcare, urban planning, and technology. Collaborative efforts with organizations like the European University Cyprus emphasize practical solutions for sustainable development and healthcare optimization.

• Human-Computer Interaction (HCI)
• Inclusive Design
• Disaster Risk Management
• +۴ مورد دیگر

Dr Claire Ancient is a Senior Lecturer in Computer Science at the University of Winchester's Department of Digital Technologies within the Faculty of Business and Digital Technologies. She leads undergraduate programmes in Software Engineering and Cyber Security with Law, and previously managed Degree Apprenticeship programmes. Her work focuses on inclusive technology design, disaster risk management, and education innovation. She holds a PhD from the University of Portsmouth (2016) investigating technology for dementia care, and is pursuing a Master's in Learning and Teaching while working towards Senior Fellowship of the Higher Education Academy. Her research combines Human-Computer Interaction with humanitarian applications, including developing mobile apps for disaster preparedness in Small Island Developing States through the CommonSensing project. Committee memberships: DUXU Conference Program Board, Technology-Enhanced Learning Advisory Group Teaching philosophy: Advocates Universal Design for Learning and inclusive pedagogy Her award-winning work includes the Higher Education Academy Fellowship and contributions to the UNITAR-led CommonSensing initiative. Current projects explore technology-enhanced learning's role in emancipatory education and expanding disaster risk reduction tools.

Mohamad Nassarمشاهده پروفایل

استادیار

• Artificial Intelligence
• Cybersecurity
• Explainable AI
• +۳ مورد دیگر

Dr. Mohamad Nassar is a tenure-track Assistant Professor in the Department of Electrical & Computer Engineering and Computer Science at the Tagliatela College of Engineering, University of New Haven, with prior appointments at The University of Alabama in Huntsville and the American University of Beirut. He holds a Ph.D. in Computer Science from the University of Lorraine, France, and specializes in AI for cybersecurity and explainable AI. His research focuses on artificial intelligence applications in cybersecurity, explainable AI systems, lean operational methodologies, logistics optimization, and ergonomic design principles. Dr. Nassar has published over 40 peer-reviewed articles in these domains. Recent publications demonstrate strong emphasis on AI-driven cybersecurity solutions, adversarial machine learning defenses, and intelligent systems for urban infrastructure. His work frequently incorporates game theory, reinforcement learning, and privacy-preserving techniques within cloud-fog network architectures. Dr. Nassar maintains an active research agenda with ongoing projects in hardware-assisted malware detection, smart transportation systems, and deep learning security frameworks. He contributes to the academic community through peer review and conference participation.

• Robotics
• Autonomous Systems
• Control Systems
• +۵ مورد دیگر

Jonay Tomás Toledo Carrillo is a Full Professor at the University of La Laguna, affiliated with the Department of Computer Science and Systems Engineering within the School of Computer Science and Systems Engineering. He leads the GRULL (Robotics Group of the University of La Laguna), focusing on robotics, control systems, and autonomous systems. He earned his PhD in 2008 with a thesis on nonlinear control strategies for quadrotor helicopters, advised by Dr. Leopoldo Acosta Sánchez. His research interests span robotics, autonomous navigation, sensor fusion, and assistive technologies. Key projects include developing mobility aids for visually impaired individuals and enhancing localization systems through adaptive algorithms. Recent work emphasizes real-time sensor processing (e.g., LSTM networks for odometry), magnetic field control for accessibility, and Kalman filter variants for multi-sensor integration. Publications highlight contributions to robotics applications, including autonomous vehicles, wheelchair navigation, and BCI systems. His work bridges theoretical control methods with practical implementations in unstructured environments. Collaborations include interdisciplinary efforts in computer vision, ontology-based navigation, and educational simulators like MNEME for memory hierarchy teaching. Dr. Toledo Carrillo’s research aligns with the university’s engineering and automation priorities, with a focus on real-world impact through low-cost, high-precision solutions. His team’s innovations address challenges in both robotics engineering and accessibility technologies.

• High-Performance Computing
• Performance Modeling
• Parallel Computing
• +۳ مورد دیگر

Alexandru Calotoiu is a Researcher in the Department of Computer Science at ETH Zürich, affiliated with the Professorship for Scalable Parallel Computing. His work focuses on performance modeling, high-performance computing (HPC), serverless systems, and cloud computing. He leads research in empirical performance modeling for complex applications, optimization of parallel algorithms, and scalable cloud architectures. Key research areas include noise-resilient performance models, serverless computing frameworks, and compositional parallel programming. He has contributed to benchmarking tools like SeBS and developed techniques for loop scheduling, static analysis, and resource disaggregation in HPC environments. His publications from 2023–2025 emphasize serverless systems (e.g., FaaSKeeper, Cppless), performance embeddings for optimization, and specialized supercomputing for climate science. These studies address scalability, reproducibility, and cross-platform performance portability in data-centric workloads. No scientific awards are explicitly listed, but his work has been presented at leading conferences such as ISCA and IEEE/ACM events. He collaborates on projects like rFaaS (RDMA-enabled serverless platforms) and Process-as-a-Service frameworks. His research bridges theoretical models with practical implementations in distributed systems and cloud infrastructure.

Christos Kozyrakisمشاهده پروفایل

استاد

• Computer Architecture
• Computer Systems
• Cloud Computing
• +۶ مورد دیگر

Christos Kozyrakis is a Professor in the Departments of Electrical Engineering and Computer Science at Stanford University. His research focuses on computer architecture, computer systems, and cloud computing, with contributions to energy-efficient systems, machine learning infrastructure, and database-oriented operating systems. He leads the MAST research group and directs the Stanford Platform Lab. Education: Bachelor's Degree in Computer Science, University of Crete PhD in Electrical Engineering and Computer Sciences, University of California, Berkeley Research Interests: Kozyrakis explores cloud management, machine learning systems, energy-efficient architectures, and hardware-software co-design. Notable projects include DBOS (a database-oriented OS), the MAST group's work on serverless computing and storage systems, and energy-proportional data center design. Awards: ACM SIGARCH Maurice Wilkes Award ISCA Influential Paper Award NSF Career Award Okawa Foundation Research Grant ACM and IEEE Fellowships Advising & Grants: Supervised over 20 PhD and master's students, with notable alumni contributing to academia and industry. Supported by NSF, DARPA, SRC, Google, Microsoft, and other industry collaborations. Labs & Teams: Leads the MAST research group and directs the Stanford Platform Lab, focusing on cutting-edge systems research and prototyping.

Catherine Plaisantمشاهده پروفایل

پژوهشگر

• User Interface Design
• Information Visualization
• Human-Computer Interaction
• +۴ مورد دیگر

Catherine Plaisant is a Research Scientist Emerita at the University of Maryland's Institute for Advanced Computer Studies (UMIACS) and a member of the Human-Computer Interaction Lab (HCIL). She holds a Doctorat d’Ingénieur from Université Pierre et Marie Curie and has been affiliated with HCIL since 1988. Her work focuses on user interface design, information visualization, and healthcare informatics, emphasizing usability, accessibility, and interdisciplinary collaboration. Education: PhD (Doctorat d’Ingénieur), Université Pierre et Marie Curie. Research Interests: User interface design/evaluation, information visualization, medical informatics, digital libraries, and temporal data analysis. Key projects include EventAction, Twinlist, and PAOHVIS. Articles Trends: Recent work emphasizes visual analytics for temporal event sequences, healthcare decision-making tools, and historical HCI preservation. Key themes include explainable AI, cohort comparison, and user-centered design. Scientific Awards: IEEE VIS Career Award (2020), ACM SIGCHI Lifetime Service Award (2020), ACM SIGCHI Academy membership (2015), and multiple Test of Time Awards for influential papers. Grants & Advising: Collaborations with INRIA and industry sponsors. Advised on projects like SHARP-C and EventFlow. Retired from direct student mentoring but remains active in research. Labs/Teams: HCIL and UMIACS. Collaborates internationally with institutions like INRIA (France) on projects such as PKclustering and Dynamic Hypergraph visualization.

Thomas Pedersonمشاهده پروفایل

استاد

• Human-Computer Interaction
• Augmented Reality
• Wearable Computers
• +۳ مورد دیگر

Thomas Pederson is a Professor at University West, affiliated with the Open Lab. His research focuses on designing systems that integrate seamlessly into real-world tasks through wearable and mobile technologies, emphasizing an egocentric interaction paradigm. He explores how human perception, cognition, and action shape future wearable systems, particularly in healthcare, manufacturing, and tourism contexts. His work spans over two decades, with a strong emphasis on ubiquitous computing and artificial intelligence. Key contributions include studies on subtle guidance in augmented reality (AR), wearable assistants for surgeons, and IoT-based attention management systems. Pederson collaborates widely, with notable co-authors such as S Jalaliniya, N Tobisková, and L Malmsköld. Pederson’s research interests are organized under broader themes: Human-Computer Interaction (HCI), Augmented Reality (AR), Wearable Computers, Ubiquitous Computing, Artificial Intelligence (AI), and Peripheral Interaction. His recent work addresses sustainable infrastructure design, tourism inclusion, and invisible AI systems that operate through peripheral attention. His articles reflect trends in AR applications across diverse domains, including industrial assembly, surgical support, and multiplayer gaming. He also investigates the ethical and design implications of blending AI with HCI, particularly in contexts where systems must be unobtrusive yet effective. Despite no explicit awards listed, his prolific output and collaborations indicate significant contributions to wearable computing and AR research. Pederson has advised no formal students listed in the provided texts. Grants or funding specifics are not mentioned, but his focus on applied research suggests involvement in projects related to smart environments, clinical systems, and manufacturing innovation. He is also involved in organizing workshops and conferences, such as the 2020 NordiCHI event and the 2010 TEI Proceedings, highlighting his role in advancing interdisciplinary HCI discourse.

Anne Kaunمشاهده پروفایل

استاد

• Media Activism
• Algorithmic Culture
• Automated Decision-Making
• +۶ مورد دیگر

Anne Kaun is a Professor in Media and Communication Studies at Södertörn University's School of Culture and Education. Her research focuses on algorithmic culture, automated decision-making, media activism, and the digital welfare state. She holds a Magister degree from the University of Leipzig, a European Studies degree from Kaliningrad Technical University, and a PhD from Örebro University/Södertörn University (2012). Her postdoctoral work at the University of Pennsylvania explored historical media participation during crises. Her research interests include mediated temporalities, media memories, and the intersection of technology with social justice. She has investigated protest media practices (e.g., Occupy movements) and how digital platforms reshape memory and public discourse. She leads projects like the Swedish Network on Automated Decision-Making in the Public Sector and collaborates on EU-funded initiatives like 'Narratives of Europe.' Her work critiques the paradoxes of digital disconnection, automated governance, and the ethical implications of data-driven welfare systems. She serves as Vice-Chair of ICA's Activism, Communication, and Social Justice group and ECREA's Communication and Democracy section. Key networks include projects funded by Riksbankens jubilieumsfond, STINT, and the German Research Council. Her publications span algorithmic ethics, digital frictions, and the temporal dimensions of technological change.