جست‌وجوی استاد و پژوهشگر

Rafid Al-Khannakمشاهده پروفایل

دانشیار

• Cloud Computing
• Cybersecurity
• Distributed Systems
• +۴ مورد دیگر

Dr. Rafid Al-Khannak is an Associate Professor in Computing at Buckinghamshire New University. He holds a PhD in Engineering and IT from the University of Bolton, completed in collaboration with Siemens AG. His research focuses on engineering and IT operational development, particularly in cloud computing, distributed systems, cybersecurity, and infrastructure automation. Al-Khannak maintains industry collaborations with Amazon and Siemens on cloud implementation and security projects. Key research areas include: Secure cloud migration frameworks using AWS hybrid models Infrastructure automation through CI/CD pipelines Penetration testing methodologies for cloud applications AI-enhanced education system transformation Healthcare application development for specialized needs

• Children's Literature
• Education
• Media Studies
• +۳ مورد دیگر

Andrea Paldy is a Full-Time Lecturer in the Program in Writing & Rhetoric at Stony Brook University. She holds an M.F.A. in Film from Columbia University, a B.A. in History and Literature (France and England) from Harvard University, and an Advanced Graduate Certificate in Children's Literature from Stony Brook Southampton. Her research interests span children’s literature, education, and media design. She authored children’s nonfiction titles like The World on One Clock: The Beginning of Standard Time and Panic at the Picnic , and co-authored the textbook Exploring Motion Graphics (2006), focusing on design theory applications for film, video, and web media. Previously, she worked as a reporter and blogger for Times Beacon Record Media, covering education and local politics for ten years. She also created the parenting blog It Takes a Village . No formal grants or advising roles are noted in the provided text.

Latifur Khanمشاهده پروفایل

استاد

• Data Mining
• Cybersecurity
• Machine Learning
• +۲ مورد دیگر

Dr. Latifur Khan is a Professor in the Department of Computer Science at the University of Texas at Dallas' Erik Jonsson School of Engineering and Computer Science. He directs the Database and Data Mining Laboratory and conducts research in data mining, cybersecurity, and semantic web technologies. Research domains include: Large language models for threat detection Fairness in machine learning Vulnerability analysis in software systems Graph-based information retrieval Recent publications focus on AI security applications in transportation systems, political conflict analysis using NLP, and federated learning for IoT security. His work consistently bridges theoretical algorithms with practical cybersecurity implementations. Research grants include funding from NSF, NASA, Raytheon, Nokia, and SUN Microsystems. Teaching includes courses in Plant Breeding (PBG 450/550) and Breeding Clonal Crops (PBG 551).

Gunho Sohnمشاهده پروفایل

دانشیار

• 3D Urban Space Modelling
• Photogrammetric Computer Vision
• Geometric Remote Sensing
• +۷ مورد دیگر

Gunho Sohn is an Associate Professor and Department Chair in the Earth and Space Science and Engineering (ESSE) Department at York University's Lassonde School of Engineering. His research focuses on advanced geomatics engineering applications, including 3D urban modeling, photogrammetric computer vision, and geospatial data integration. He specializes in developing innovative solutions for navigation systems, energy optimization, and autonomous robotics through interdisciplinary approaches. Dr. Sohn's work emphasizes practical implementations of remote sensing technologies, with notable contributions to LiDAR data processing, SLAM systems, and BIM-GIS integration. His research has addressed real-world challenges such as improving air quality models using industrial plume observations and creating inclusive pedestrian navigation tools using open geospatial datasets. Recent trends in his publications highlight advancements in deep learning for geospatial tasks, including semantic segmentation of aerial LiDAR data, noise reduction in sensor networks, and UAV positioning systems. His work also explores digital twin applications for simulating urban environments and optimizing building energy consumption through BIM data analysis. While no specific awards or grants are listed, his extensive publication record reflects significant contributions to the fields of geomatics and computer vision. His research group collaborates on large-scale datasets like YUTO MMS and Yuto Semantic, advancing mobile mapping and semantic understanding of urban infrastructure.

Kevin W. Hamlenمشاهده پروفایل

استاد

• Cybersecurity
• Software Security
• Formal Methods
• +۶ مورد دیگر

Kevin W. Hamlen is the Louis A. Beecherl, Jr. Distinguished Professor in the Department of Computer Science at the University of Texas at Dallas. He serves as Executive Director of UT Dallas' Cyber Security Research and Education Institute. His research focuses on language-based security , binary software hardening , cyberdeception , and formal program verification . He has received multiple grants from agencies like AFOSR, NSF, DARPA, and industry partners including Lockheed Martin and Intel. PhD and MS from Cornell University BS from Carnegie Mellon University His research explores automated approaches to software security through techniques like binary disassembly , control-flow integrity , and honey-patching . He has pioneered methods for malware defense and cloud/web/mobile security . Recent work examines adaptive cyberdeception and GPU-based security frameworks . His publications span binary code manipulation , malware mitigation , and blockchain security . Key awards include the NSF IUCRC Technology Breakthrough Award and two CSAW Best Paper 2nd Prizes . He advises numerous PhD students, many of whom now work at Google, IBM, and Microsoft. His book Autonomous Cyber Deception (Springer, 2019) with Ehab Al-Shaer and Cliff Wang provides comprehensive coverage of adaptive cyberdeception strategies.

• Knowledge Representation
• Semantic Web
• Ontology Engineering
• +۷ مورد دیگر

Deborah McGuinness is a Professor of Computer Science, Cognitive Science, and Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI), holding the Tetherless World Senior Constellation Chair. She leads research in semantic web technologies, ontology engineering, explainable AI, and applications in health and environmental informatics. Her work emphasizes semantic technologies to enhance human-machine collaboration through knowledge representation and reasoning. Education: B.S./B.A. (Computer Science & Mathematics, Duke University, 1980), M.S. (Computer Science, UC Berkeley, 1981), Ph.D. (Knowledge Representation, Rutgers University, 1997). Research interests include: ontology creation/evolution, commonsense AI, machine learning fairness, clinical decision support systems, knowledge graphs for scientific data, and policy modeling. Recent work focuses on AI explainability, semantic data dictionaries for public health surveys, and leveraging knowledge graphs for personalized health recommendations. Her publications span semantic web standards, AI commonsense benchmarks, clinical informatics applications, and policy frameworks. Notable projects include the Explanation Ontology for user-centered AI and the CHEAR Data Repository for environmental health research. McGuinness has pioneered semantic technologies for data integration across diverse domains like nanomaterials science and stroke care policy analysis.

Charles Lingمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Artificial Intelligence
• +۴ مورد دیگر

Charles Ling is a Professor of Computer Science at Western University, holding the title of Science Distinguished Research Professor. He also serves as Director of the Data Mining and Business Intelligence Lab and Associate Scientist at the Lawson Health Research Institute. His academic background includes a B.Eng. (CS and EE) from Shanghai Jiao Tong University and MSc/PhD from the University of Pennsylvania (UPenn). Research interests span machine learning, deep learning, AI, and healthcare informatics, with notable contributions to the GlucoGuide diabetes management system. He has authored over 220 peer-reviewed papers and a book titled Crafting Your Research Future , focusing on academic career development. Awarded Fellow of the Canadian Academy of Engineering (CAE) and recipient of the First Prize for Best Clinical Research Presentation (2011). Active in grants (NSERC, FedDev, Mitacs) and organizational roles in top conferences (KDD, ICDM). Supervises 5 PhD and 4 MSc students, with notable advisees including Harry Zhang and Victor Sheng. Leverages AI in education to enhance children's cognitive abilities through video-based programs like Power Thinking , approved by Curriculum Services Canada. His work integrates machine learning with healthcare, finance, and software engineering.

Nikki Lobczowskiمشاهده پروفایل

استادیار

• Educational Technology and Teaching Innovation
• STEM Education
• Teacher Education, Pedagogy and Leadership
• +۷ مورد دیگر

Dr. Nikki Lobczowski is an Assistant Professor in the Learning Sciences program at McGill University's Department of Educational and Counselling Psychology. She directs the McGill CREATE Research Lab, focusing on collaborative learning interventions using cutting-edge technologies. Her expertise spans design-based research, educational technologies, and socioemotional dynamics in learning. Education includes a Ph.D. in Education from UNC Chapel Hill (specializing in Learning Sciences), M.Ed. and B.Sc. in Mathematics from Virginia Tech. Awards include the 2021 APA Pintrich Dissertation Award and multiple grants from SSHRC and McGill. Research emphasizes context-sensitive interventions in collaborative settings, with recent work on emotional regulation in project-based learning and theoretical models for socioemotional processes. She designs technologies to support secondary math education and collaborates across institutions like the University of Pittsburgh and Carnegie Mellon. Accepting graduate students for 2023-24 through the CREATE Lab. Active in professional networks via ResearchGate, Twitter, and LinkedIn.

Kathleen L. Komarمشاهده پروفایل

استاد

• Comparative Literature
• German Literature
• Feminist Theory
• +۳ مورد دیگر

Kathleen L. Komar is a Distinguished Professor in the Department of Comparative Literature at the University of California, Los Angeles (UCLA), part of the UCLA College. She holds a Ph.D. in Comparative Literature from Princeton University (1977). Her primary language expertise includes German, reflecting her focus on German literary traditions. Professor Komar’s research spans feminist theory, modernist literature, and post-symbolist poetry, with significant contributions to the study of Rainer Maria Rilke, Hermann Broch, and Robert Musil. She has authored and edited works analyzing mythological reinterpretation, gender dynamics in literature, and the intersection of digital humanities with traditional literary studies. Her academic career includes leadership roles such as serving as ACLA President, where she championed interdisciplinary approaches and the evolution of comparative literature as a discipline. Komar’s scholarship bridges historical analysis and contemporary critical theory, addressing themes like utopianism, postcommunism, and the role of silence in postwar discourses. She has also explored pedagogical innovations in teaching world literature and the application of predictive analytics in educational technology. Notable research areas include: Reinterpretation of classical myths (e.g., Klytemnestra) Modernist aesthetic theory in German literature Electronic poetry and digital textuality Feminist explorations of literary space Comparative studies of European and American literary traditions Her publications reflect a commitment to interdisciplinary dialogue, spanning edited companions, critical essays, and theoretical interventions in both print and digital formats. Komar’s work frequently emphasizes the transformative potential of literature to interrogate cultural, political, and gendered structures.

Rahat Masoodمشاهده پروفایل

مدرس

• Cybersecurity
• Privacy Technologies
• Authentication & Authorization
• +۷ مورد دیگر

Dr. Rahat Masood is a Lecturer at the School of Computer Science & Engineering (CSE), UNSW Sydney. Her research focuses on cybersecurity, including privacy-preserving technologies, authentication mechanisms, critical infrastructure protection, and network security analysis. She holds a PhD in Information Security and Privacy from UNSW (Data61-CSIRO, Australia), an MS in Computer and Communication Security from NUST, Pakistan, and a B.Sc. in Software Engineering from the University of Engineering & Technology, Pakistan. Her academic contributions span theoretical and applied cybersecurity domains. Dr. Masood’s educational background includes: PhD: Information Security and Privacy (UNSW, Data61-CSIRO, Australia) MS: Computer and Communication Security (NUST, Pakistan) B.Sc.: Software Engineering (University of Engineering & Technology, Pakistan) Her research interests emphasize privacy technologies, authentication systems, and securing distributed energy resources. Recent work includes developing frameworks for quantifying privacy risks and analyzing social media manipulations. She employs data-driven methodologies and machine learning to address challenges such as WiFi device tracking and federated learning security. In her publications, she highlights trends in privacy controls usability, satirical news detection using multilingual models, and threat modeling for critical infrastructure. These studies underscore her commitment to bridging cybersecurity theory with real-world applications. No scientific awards are mentioned in the provided texts. Her teaching and supervision roles at UNSW are active, though specific student advisees or grant details are not listed. She is affiliated with Data61-CSIRO through her PhD and contributes to interdisciplinary cybersecurity efforts within CSE.

Daniel Tubbenhauerمشاهده پروفایل

استاد پژوهشی

• Categorical Representation Theory
• 2-Representation Theory
• Modular Representation Theory
• +۶ مورد دیگر

Dr. Daniel Tubbenhauer is an ARC Future Fellow at the University of Sydney's School of Mathematics and Statistics, specializing in categorical representation theory, 2-representation theory, and their applications to topology, cryptography, and machine learning. His research bridges algebra, category theory, and low-dimensional topology, with a focus on modular representation theory and diagrammatic algebra. Education: PhD in Mathematics (2013), supported by extensive postdoctoral research globally. Research Interests: He explores categorical structures in representation theory, including categorification of quantum groups, link homologies, and applications in cryptography. His work emphasizes diagrammatic methods and computational approaches to algebraic problems. Publications: Over 30 peer-reviewed articles, including foundational work on web categories, Soergel bimodules, and applications of representation theory to machine learning. Recent projects analyze growth rates in tensor powers and fractal behavior in algebraic structures. Awards: Australian Research Council Future Fellowship (2023), supporting his research on categorical representation theory. Teaching & Supervision: Taught courses on quantum topology, category theory, and representation theory. Current student: Daniel Collison (PhD). Advises on projects linking representation theory to AI and cryptography. Labs/Teams: Collaborates with global networks in algebraic topology and categorification, including projects at the Sydney Mathematical Research Institute. Maintains an active YouTube channel ( VisualMath ) for outreach.

Tianhao Wangمشاهده پروفایل

استادیار

• Differential Privacy
• Machine Learning Privacy
• Data Security
• +۳ مورد دیگر

Tianhao Wang is an Assistant Professor in the Department of Computer Science at the University of Virginia School of Engineering and Applied Science. His work focuses on advancing differential privacy and machine learning privacy, with particular expertise in privacy-preserving technologies for data synthesis, adversarial machine learning, and secure AI systems. His research interests span differential privacy mechanisms, secure data sharing, and mitigating privacy risks in modern AI systems. He explores how to protect sensitive information in machine learning models, synthetic data generation, and network analysis while maintaining utility. Recent work highlights include developing benchmarks for private image synthesis (DPImageBench), safeguarding text data from misuse (ExpShield), and analyzing privacy threats in pre-trained language models. His publications reflect a strong emphasis on both theoretical foundations and practical applications of privacy-preserving techniques. Dr. Wang's contributions address cutting-edge challenges in AI ethics, secure machine learning, and privacy engineering, with implications for healthcare, cybersecurity, and data-driven decision-making systems.

Seth Freyمشاهده پروفایل

دانشیار

• Computational Social Science
• Governance Institutions
• Online Communities
• +۳ مورد دیگر

Seth Frey is an Associate Professor in the Department of Communication at the University of California, Davis. His research focuses on computational social science, exploring governance institutions and complex human decision-making through computational methods, large datasets, and web-based experiments. He examines online communities as models of governance, with expertise in computational approaches to institutional design and strategic behavior analysis. Education: Ph.D. in Cognitive Science and Informatics, Indiana University, 2013 B.A. in Cognitive Science, UC Berkeley, 2004 Research Interests: Frey's work integrates data science, lab experiments, and computational modeling to study human organizations and communication. Key areas include governance technology, cognitive mechanisms of social outcomes, and institutional evolution. His projects span online games, sports, and open-source software communities, emphasizing topics like collective action, self-governance, and cooperative behavior. Publications & Funding: His work appears in journals like PNAS and Nature Scientific Reports, and has been funded by NSF, NASA, and the Ford Foundation. He contributes to the Ostrom Workshop at Indiana University and directs the Computational Communication Lab at UC Davis. Teaching: Frey teaches courses on data visualization, simulation methods, and online data analysis in the social sciences.

Colin Allisonمشاهده پروفایل

استاد پژوهشی

• Multi-User Virtual Worlds
• Distributed Systems
• Computer Networks
• +۵ مورد دیگر

Dr Colin Allison is an Honorary Research Professor at the University of St Andrews' School of Computer Science, specializing in Multi-User Virtual Worlds (Metaverses), Distributed Systems, Computer Networks, and Quality of Service (QoS). He holds a PhD in Computer Science from the University of St Andrews, an M.Sc. in Computing from the University of Dundee, and an M.A. in Sociology from the University of Edinburgh. His research focuses on immersive learning environments, virtual world infrastructure, and educational technologies. Notable projects include leading the Immersive Learning Research Network (iLRN), managing Open Virtual Worlds initiatives, and investigating Quality of Service in distributed systems. Dr. Allison has organized international conferences and published extensively on virtual reality applications in education and cultural heritage. Key contributions include advancing scalable learning environments like Finesse, exploring video fingerprinting for digital asset management, and investigating covert channels in internet protocols. He has collaborated on interdisciplinary projects such as LAVA (virtual archaeology) and the Global Smart Spaces initiative. Dr. Allison has secured grants for projects like the European Learning Grid Infrastructure (ELeGI) and has served as Principal Investigator for initiatives such as Interface and the Scottish Metropolis Area Networks project. His work bridges academic research with practical applications in education, technology, and heritage preservation. He has advised on multiple research projects and has been a keynote speaker at conferences on internet security, immersive education, and virtual worlds.

Alma Leora Culénمشاهده پروفایل

استاد

• Interaction Design
• Sustainable Interaction Design
• Research through Design
• +۳ مورد دیگر

Alma Leora Culén is a Professor in the Design of Information Systems at the Department of Informatics, University of Oslo, part of the Faculty of Mathematics and Natural Sciences. She holds a prominent role in advancing sustainable interaction design, research through design methodologies, and transformative design practices focused on societal transitions. Her academic journey includes contributions to HCI education reform, emphasizing ethical and sustainable design principles. Culén has pioneered projects like 'Plurishop' exploring sustainable smartphone alternatives and 'Transition Design' approaches for mitigating democratic erosion. She actively engages in interdisciplinary collaborations through research groups such as DESIGN and Design4Dem. Key research interests span sustainable technology, participatory design processes, and leveraging AI for complex design mediation. Her work often intersects with societal challenges like climate action, youth engagement in socio-technical systems, and rural sustainability initiatives. Culén's pedagogical innovations include intensive design courses and speculative installations for civic education. She leads projects funded by the Norwegian Research Council, focusing on sustainable consumption patterns and MaaS solutions for rural areas. Notable collaborations include international design research societies and EU-funded sustainability initiatives. Her lab activities emphasize participatory prototyping and transition design frameworks, with a focus on vulnerable populations such as chronically ill youth and elderly users. Culén's work bridges academic research with real-world impact through partnerships with libraries, municipalities, and tech industries.