جست‌وجوی استاد و پژوهشگر

• Multilingualism
• Intercomprehension
• Intercultural Learning
• +۴ مورد دیگر

Prof. Silvia Maria Melo Pfeifer holds the Universitätsprofessor (W3) für Didaktik der romanischen Sprachen at the Faculty of Education, University of Hamburg , Germany. She also serves as a Research Fellow at CIDTFF, University of Aveiro, Portugal. Her work centers on multilingual education, heritage language pedagogy, intercomprehension, and linguistic landscapes , with extensive experience in international research collaborations. Key Projects : PEP (2023-2026), AGILE (2022-2025), BOLD (2022-2025), IDéAL (2022-2025), and CoMMiTTEd (2021-2023). Research Themes : Focus on plurilingual literacy, multilingual teacher training, digital language interaction, and critical approaches to heritage language education , analyzing how students negotiate identities in multilingual contexts. Her publications include edited volumes on multilingual teacher education (Springer, 2023) and peer-reviewed chapters on intercomprehension. She advocates for pedagogies that integrate students' entire linguistic repertoires , challenging monolingual norms in educational systems.

• Agricultural Engineering
• Robotics
• Computer Vision
• +۳ مورد دیگر

Xin Wang is an External employee in the department of Agricultural Biosystems Engineering at Wageningen University & Research. Their research focuses on advancing robotics, computer vision, and machine learning applications in precision agriculture. Key areas include plant node tracking, 3D plant reconstruction, and agricultural automation systems. Recent work emphasizes multi-view active vision, self-supervised learning algorithms, and semantic-guided robotics for crop analysis. Research projects include the FlexCRAFT PostDoc initiative, where Wang serves as Principal Investigator. Their contributions span datasets such as 3D tomato peduncle pose estimation and genome sequencing projects. Collaborations involve interdisciplinary teams focusing on agricultural robotics and plant biology, with a strong emphasis on practical applications in greenhouse and orchard environments. Publications highlight advancements in object tracking, next-best-view planning, and machine learning-driven solutions for agricultural challenges like combine harvester optimization and crop ripeness detection. Their work bridges theoretical computer vision techniques with real-world agricultural engineering problems.

Paweł W. Woźniakمشاهده پروفایل

استاد

• Human-Computer Interaction
• Sport Technology
• Well-being
• +۴ مورد دیگر

Paweł W. Woźniak is a Professor and Head of Research Unit at TU Wien, with prior roles including Associate Professor at Chalmers University of Technology, Assistant Professor at Utrecht University, and Postdoctoral Fellow at the University of Stuttgart. Current: Professor & Head of Research Unit, TU Wien Former: Associate Professor, Chalmers University of Technology Former: Assistant Professor, Utrecht University Former: Postdoctoral Fellow, University of Stuttgart Education PhD in Human-Computer Interaction, Chalmers University of Technology (2016) Research Interests focus on the intersection of technologies, sport, and wellbeing. He investigates everyday experiences of physical activity to design technologies that enhance wellbeing, with expertise in personal informatics, multi-surface interactions, sensory augmentation, and the ethical implications of interactive systems. His work includes building devices for sports, exploring VR for emotional regulation, and understanding user apprehensions about AI and mixed reality. Scientific Awards include paper recognitions at CHI, MobileHCI, and EICS, alongside leadership roles in academic conferences. Leadership involves heading a research unit at TU Wien and organizing workshops in HCI.

• Quantum Compilation
• Edge Computing
• Energy-Aware Systems
• +۲ مورد دیگر

Alessandro Tundo is a Researcher in Computational Sustainability at TU Wien. His work focuses on quantum compilation, edge computing optimization, and energy-aware AI systems. Research Focus: Develops frameworks for efficient quantum compilation and energy optimization in edge computing environments. Recent projects include DynaSplit for hardware-software co-design and decentralized edge workload forecasting. Teaching: Courses on AI/ML in Climate Change and Data-intensive Computing. Supervision: Advised student research on anomaly detection in sensor systems.

• Medical Imaging
• Nuclear Medicine
• Radiation Dose Reduction
• +۴ مورد دیگر

Dr. Peter Kench is an Associate Professor at the University of Sydney , affiliated with the Sydney School of Health Sciences and the Discipline of Medical Imaging Science . His work focuses on optimizing medical imaging techniques for cancer patients, particularly children, through radiation dose reduction and enhanced image quality. PhD, GradCertHlthScEd, BAppSc(MRT)Hons Research spans transmission/emission computed tomography (CT/SPECT/PET) innovations, with emphasis on pediatric imaging safety , spectral CT radiomics , and dynamic SPECT liver kinetics . His educational leadership includes developing simulation-based learning and computer-assisted instruction. Recent publications address radiation dose management , infection control in imaging , and patient-driven imaging requests . Awards include the Young Investigator Award (2021) and Top Cited Article (2020). Supervises research higher degree students and serves on multiple medical imaging societies .

• Medical Education
• Clinical Communication Skills
• Telehealth Platforms
• +۴ مورد دیگر

Renee Lim is a Lecturer in the Department of Medicine at the University of Sydney's Northern Clinical School. Her research focuses on medical education innovation, particularly in clinical communication skills, telehealth platforms, and teamwork competencies in healthcare settings. She has contributed to developing technology-enhanced learning tools like EQClinic, which uses automated feedback systems for medical student training. Her work emphasizes improving non-technical skills such as situational awareness in surgical training and collaborative teamwork during mass casualty simulations. Notable projects include a large-scale telehealth training platform incorporating nonverbal behavior analysis and a self-assessment tool for medical/nursing student teams. Recent publications (2016-2022) highlight themes of technology-mediated learning, gratitude interventions in online volunteering, and behavioral engagement in tele-consultation feedback systems. Her research bridges health informatics, medical education pedagogy, and clinical practice improvement. Dr. Lim has secured grants such as the 2016 EQ Clinic initiative funded by the DVC Education/Large Educational Innovation Grant, demonstrating commitment to scalable educational innovations. No specific awards or student advisees are listed in the provided profile.

• Algorithmic Persuasion
• Digital Vulnerability
• Online Privacy
• +۴ مورد دیگر

Dr. Joanna Strycharz is an Assistant Professor at the Department of Persuasive Communication within the Faculty of Social and Behavioural Sciences at the University of Amsterdam. Her research focuses on algorithmic persuasion, digital vulnerability, online privacy, corporate surveillance, and consumer empowerment in digital markets. She holds a visiting address at Nieuwe Achtergracht 166 in Amsterdam and can be contacted via J.Strycharz@uva.nl. Her research explores how technological advancements like algorithmic profiling and corporate surveillance impact consumer behavior and privacy. Key themes include the ethical ramifications of data collection in advertising, chilling effects from surveillance, and interventions to enhance privacy protection. She has conducted comparative studies across the US, Netherlands, and Poland to analyze cross-cultural perceptions of digital surveillance technologies. Her recent work examines blockchain's potential in addressing fake advertising, the effectiveness of transparency disclosures, and the psychological coping mechanisms consumers employ against perceived surveillance. She frequently collaborates with industry stakeholders and regulators to bridge theoretical insights with practical challenges in digital markets. Her publications reflect a multidisciplinary approach, combining communication science, sociology, and technology studies. While no formal awards are listed, her work is cited for its innovative application of computational methods to societal issues. She actively participates in academic discussions through editorial roles and contributes to policy debates on digital consumer protection.

Claudia Sánchez-Gutiérrezمشاهده پروفایل

دانشیار

• Second Language Acquisition
• Spanish Linguistics
• Learner Corpora
• +۵ مورد دیگر

Claudia Sánchez-Gutiérrez is an Associate Professor of Spanish and Director of the First-Year Spanish Program at the University of California, Davis, within the College of Letters and Science's Spanish and Portuguese Department. She holds a Ph.D. and multiple M.A. and B.A. degrees in Spanish Linguistics and Philology from the University of Salamanca. Her research focuses on second language acquisition, morphological awareness, and pedagogical applications of learner corpora. She has advised numerous doctoral students who now hold academic and research roles at institutions like the University of Toronto and Northwestern University. She teaches courses ranging from elementary Spanish to advanced applied linguistics and syntax. Key roles include Assistant Editor of the Journal of Spanish Language Teaching , Chair of the Graduate Committee, and involvement in Mellon Foundation initiatives. Awards include the UC Davis College of Letters & Science Teaching Award and the AAUSC Excellence in Language Program Direction Award. Her publications span 20+ peer-reviewed articles and book chapters, emphasizing L2 Spanish morphology, textbook analysis, and online language teaching innovations. She has secured grants for online course development and curriculum enhancement, reflecting her commitment to advancing language education through technology and empirical research.

Jonathan Liمشاهده پروفایل

مدرس ارشد

• Engineering Education Technology
• Educational Technology (Mobile/Web)
• Engineering Outreach
• +۴ مورد دیگر

Dr Jonathan Li is an Education-Focused Senior Lecturer in the Department of Electrical and Computer Systems Engineering at Monash University, and serves as Deputy Associate Dean Education (First Year Studies) in the Faculty of Engineering. He holds a PhD from the University of Melbourne and a dual degree in Computer Science and Electrical/Electronic Engineering from the University of Western Australia. Prior to academia, he worked in optical fiber/wireless network optimization at Telstra Research Labs and a startup. His research focuses on educational technology (e.g., mobile/web platforms), engineering outreach programs, and diversity initiatives. Notable projects include developing the 'Online Sign Language Dictionary' to improve accessibility, the 'Catch me before I fail' early intervention framework for student academic success, and the iVERVE telehealth platform for stroke recovery support. He leads interdisciplinary collaborations across engineering education, healthcare technology, and STEM equity. Key contributions include advancing LMS-based student workload metrics, AR visualization tools for engineering education, and strategies to increase female participation in STEM. He has supervised over 40 research outputs since 2003, focusing on pedagogical innovation and clinical technology solutions. Current projects emphasize scalable educational interventions and recovery-focused healthcare systems.

Christian Keysersمشاهده پروفایل

استاد

• Social Neuroscience
• Neural Basis of Empathy
• Mirror Neurons
• +۵ مورد دیگر

Christian Keysers is a leading full professor of Social Neuroscience at the University of Amsterdam and head of the Social Brain Lab at the Netherlands Institute for Neuroscience (NIN). He has held tenured positions since 2000, focusing on the neural basis of empathy, mirror neurons, and social cognition across species. Department Head, Social Brain Lab, NIN (2010–now) Full Professor, Social Neuroscience, University of Amsterdam (2014–now) Full Professor, Social Brain, University of Groningen (2007–2014) His research explores how mirror neurons and embodied cognition underpin empathy, using neuroimaging, electrophysiology, and animal models. He has pioneered cross-species approaches, linking empathic mechanisms in humans and rodents to prosocial behavior and moral conflict. Recent publications highlight his work on predictive coding , altruism , and touch interventions . His findings have been published in Nature Neuroscience , Current Biology , and PLoS Biology . Scientific Awards: ERC Consolidator Grant (2012) VICI Grant (2016) Marie Curie Excellence Grant (2005) IPPY Prize for 'The Empathic Brain' (2012) Keysers actively shapes European research policy as a member of the Future and Emerging Technologies advisory board and the Young Academy of Europe. His book 'The Empathic Brain' won critical acclaim for science communication.

• Information and Communication Technologies
• Human-Computer Interaction
• Sociology of Digital Cultures
• +۴ مورد دیگر

Christian Licoppe is a Professor in the Social Sciences department at Telecom Paristech, specializing in the sociology of information and communication technologies. He has served as Deputy Director of the Institute for Interdisciplinary Innovation (CNRS UMR 9217) since 2015 and leads the Interact research group. His career spans roles at France Telecom-Orange Research Laboratories, CNRS, and C.N.E.T., focusing on technology's societal impacts and mediated interaction. 1995: Habilitation à diriger des recherches, University Paris VII 1994: PhD in epistemology and history of exact sciences, University Paris VII 1985: PhD in condensed matter physics, University Paris VII 1981: Engineer, Ecole Nationale Supérieure des Télécommunications 1979: Engineer, Ecole Polytechnique Licoppe's research explores mediated interaction, digital cultures, and human-technology co-evolution. His work spans mobile communication, video conferencing, suicide prevention technologies, and digital justice systems. Key methodologies combine ethnographic observation with interactionist analysis. Recent research projects include: VisioJustice (French ANR funded): Videoconferencing in judicial contexts Electronic Monitoring (Paris Saclay IDEX): Digital surveillance systems QuantiSelf (French ANR): Self-tracking technologies Cyberjustice Program (SSHRC Canada): Digital legal processes Mobile Dating (Forum des Vies Mobiles): Geolocation-based dating His publications examine: Mobile media's impact on sociality Transformations in interpersonal communication Notification systems' social implications Interaction design in digital platforms Virtual presence in legal and gaming contexts ICTs' role in contemporary social organization

• Cybersecurity
• Information Assurance and Security
• STEM Outreach
• +۷ مورد دیگر

Dr. Shawon S. M. Rahman is a tenured Professor in the Department of Computer Science and Engineering at the University of Hawaiʻi at Hilo (UH Hilo), a recognized Native Hawaiian, Pacific Islander, and Minority Serving Institution. He holds an adjunct faculty position in Cybersecurity at the University of Missouri-Kansas City (UMKC). He is currently a Faculty Applied Clean Energy Sciences (FACES) Fellow at the National Renewable Energy Laboratory (NREL), U.S. Department of Energy (DOE). With 18+ years of teaching experience, he has advised 15 Ph.D. graduates and contributed to numerous dissertation committees. He serves as Editor-in-Chief of the International Journal on Cryptography and Information Security (IJCIS) and reviews for over 15 conferences/journals. His roles include Chair of the Chancellor Access Committee, member of NSF Review Panels, and leadership in IEEE/ACM conferences. Dr. Rahman’s education includes a Ph.D. in Software Engineering from North Dakota State University, an M.S. in Computer Science (same institution), and a B.S. in Chemical Engineering from Bangladesh University of Engineering & Technology. His research focuses on Cybersecurity, Information Assurance, STEM Outreach, Digital Forensics, and IoT Security. He has secured grants from NSF, USDA, and DOE, and collaborates with schools to promote STEM education and Cybersecurity Career Pathways. His article trends emphasize IoT security, cybersecurity frameworks, and behavioral science in security practices. He actively addresses vulnerabilities in medical devices, cloud computing, and mobile applications. Professional affiliations include IEEE (senior member), ACM, ISACA, and ASEE. He advises the UH Hilo Robotics Club and chairs programs like Cybersecurity and Digital Forensics. Dr. Rahman’s service extends to Hawaii’s statewide science assessment program and initiatives like the Hawaii Statewide Assessment Program (HSAP). His work bridges academia and industry through applied research in clean energy sciences and cybersecurity innovations.

• Cyber Security
• Software Engineering
• Cloud Computing
• +۴ مورد دیگر

Dr. Hussain Ahmad is an Assistant Professor (Lecturer) at the School of Computer and Mathematical Sciences, University of Adelaide, Australia. His research focuses on Cyber Security, Software Engineering, and Generative AI, with a particular emphasis on industry-driven innovation and real-world applications. He collaborates with prestigious institutions such as the Department of State Development South Australia, Defence Science and Technology Group Australia, and Cisco. Dr. Ahmad completed his PhD at the University of Adelaide, where he explored enhancing C2 network security, software vulnerability management, and scalable microservice architectures. He has led over 15 R&D projects, resulting in 12 peer-reviewed publications in top-tier venues like CORE A* and A-ranked conferences. His teaching philosophy integrates industry relevance, continuous feedback, and cutting-edge content, ensuring students gain practical skills aligned with modern IT demands. He advises students on research projects and maintains a strong focus on cloud-native systems, self-adaptive frameworks, and AI applications. Key contributions include frameworks like Smart HPA for resource-efficient auto-scaling and Co-Evolutionary Defence for Active Directory systems. His work bridges academia and industry, addressing challenges in cyber situational awareness, DevOps practices, and large-scale system resilience.

Victoria Degelerمشاهده پروفایل

استادیار

• Computer Science
• Artificial Intelligence
• Software Engineering
• +۴ مورد دیگر

Victoria Degeler is an Assistant Professor at the University of Groningen’s Faculty of Science and Engineering, affiliated with the Bernoulli Institute. Her research focuses on AI-driven solutions for complex systems, combining expertise in artificial intelligence, software engineering, and service-oriented computing. She actively contributes to EU Horizon initiatives through her role in evaluating projects for the EC REA and EASME. Her work emphasizes real-world applications such as digital twins for infrastructure optimization, machine learning for IoT systems, and adaptive service architectures. Her research interests span digital twins in water distribution networks, quality-aware IoT processing, and machine learning methodologies. Notable projects include developing self-adaptive service selection frameworks and analyzing human activity recognition biases. She collaborates widely, evidenced by co-authored publications in top-tier conferences and journals.

• Artificial Intelligence
• Machine Learning
• Edge Computing
• +۴ مورد دیگر

Sergio Moreschini is a Postdoctoral Researcher in Computing Sciences, focusing on Artificial Intelligence, Edge Computing, and MLOps. His research explores the integration of AI techniques in microservices, cloud-edge continuum systems, and distributed home automation frameworks. He has contributed to foundational studies such as a Systematic Mapping Study on AI in Microservices Life-Cycle and developed frameworks like Flexconnect for mobile computational offloading. Education: He holds a Bachelor of Science in Technology (2012) and a Higher-Degree in Computing from Università Degli Studi Roma Tre (2016). His work aligns with UN Sustainable Development Goal 4 (Quality Education) through contributions to educational tools and methodologies. Research Interests : Moreschini investigates AI lifecycle management, edge-cloud system orchestration, vulnerability analysis in open-source components, and generative AI applications in software architecture. Key areas include fault-tolerant distributed systems, cognitive cloud continuum frameworks, and MLOps tool ecosystems. Recent Trends in Publications : Recent work emphasizes MLOps adoption challenges, self-organizing edge computing for visual SLAM, and best practices in resource provisioning for cognitive systems. He has explored trade-offs between continuous training and transfer learning in edge environments, and evaluated vulnerability severity metrics in open-source software. Awards : Won the Best Paper Award in 2022 for contributions to industrial edge service scheduling. Data Contributions : Co-created datasets like RARE (cloud-native memory anomalies) and CIVIT (integral microscopy recordings). His collaborative projects include the 6GSoft initiative for edge-cloud continuum systems and the OSSARA tool for open-source component risk assessment. Active in international conferences like IoT and SEAA, he bridges academic research with industrial applications in edge computing and AI infrastructure.