جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction
• Critical Design
• Participatory Design
• +۵ مورد دیگر

Katta Spiel is an Assistant Professor for Critical Access in Embodied Computing at the HCI Group of Vienna University of Technology (TU Wien), where they lead research under the ERC Starting Grant ACCESSTECH. They also hold membership in the Young Academy of the Austrian Academy of Sciences (2024-present) and will serve on Austria's UN Disability Rights Monitoring Committee (2025-2029). Their academic foundation includes: Bachelor of Arts in Media Culture from Bauhaus Universität Weimar Bachelor of Science in Media Systems from Bauhaus Universität Weimar Master of Science in Computer Science and Media from Bauhaus Universität Weimar Spiel's research critically examines technology through marginalized lenses, merging Computer Science, Design, and Cultural Studies. They develop participatory methodologies that center disabled, neurodivergent, and nonbinary experiences to challenge normative assumptions in Human-Computer Interaction. Key contributions include reimagining accessibility beyond compliance, transforming empathy-based design into justice-oriented co-creation, and developing frameworks for evaluating technology through lived experience rather than deficit models. Major recognitions include: SIGCHI Outstanding Dissertation Award (2020) for pioneering work on neurodivergent digital experiences Förderungspreis Mathematik, Informatik, Naturwissenschaft, Technik of Vienna (2022) Spiel's grant portfolio demonstrates sustained funding success, currently leading the €1.5M ERC Starting Grant ACCESSTECH (2025-2029) after securing FWF Hertha Firnberg and project funding for 'Exceptional Norms', 'Social Play Technologies', and 'OutsideTheBox'. These projects collectively advance participatory design with autistic children, neurodivergent youth, and nonbinary communities, producing methodological innovations like their co-developed Participatory Evaluation framework. Their research environment fosters radical collaboration through the ACCESSTECH project team, which operates as a community of practice where academic researchers and marginalized technology users co-design both methodologies and artifacts. This model rejects traditional lab hierarchies in favor of equitable knowledge production, with outcomes spanning interactive computing systems, critical design patterns, and transformative HCI theory.

Thorsten Vittمشاهده پروفایل

پژوهشگر

• Digital Humanities
• Computational Philology
• Authorship Attribution
• +۱۲ مورد دیگر

Thorsten Vitt is a Researcher at the Chair of Computational Philology and Modern German Literary History within the Faculty of Philosophy at the University of Würzburg . His role includes academic advising for Digital Humanities degree programs, IT support for the Chair, and technical leadership in digital edition projects such as the Faust Edition and TextGrid . He is affiliated with the ZPD (Zentrum für Philologie) and works on computational methods for literary analysis. Current Projects : Faust Edition, ESF-ZDEX, TextGrid, DARIAH-DE Technical Expertise : Markup Languages, Linguistic Query Languages, Database Systems Research Interests : Digital Humanities, Computational Philology, Authorship Attribution, Topic Modeling, Digital Editions, Data Visualization, Software Development for Humanities. His work bridges computer science with literary studies, focusing on algorithmic analysis of historical texts and digital scholarly editions. Publications highlight his contributions to computational analysis of Goethe's Faust, topic modeling tools, and distance measures like Burrows' Delta. He has developed software libraries for stylometric analysis and collaborates on infrastructures like TextGrid and DARIAH-DE. Education : Completed a diploma thesis on "Queries to Complex Corpora" (2005) and a student research paper on "Storing Linguistic Corpora in Databases" (2004) at Humboldt University Berlin. Technical Leadership : Deputy IT support for the Chair, contributor to GitHub repositories including pydelta and faust-web , and developer of tools for topic modeling and digital editions.

Hoa Khanh Damمشاهده پروفایل

استاد

• Software Engineering
• Artificial Intelligence
• Software Analytics
• +۴ مورد دیگر

Hoa Khanh Dam is Professor and Deputy Head of School (Research) & Head of Postgraduate Studies in the School of Computing and Information Technology at the University of Wollongong, Australia. He serves as Co-Director of the Decision System Lab where he leads research at the intersection of Software Engineering and Artificial Intelligence. His research focuses on developing AI-driven solutions for software quality, cybersecurity, and productivity enhancement. Key interest areas include: AI/IoT autonomous and cyber resilient systems Software Analytics and Mining Software Repositories Large Language Models for software engineering tasks Defect prediction and vulnerability analysis Agile project management optimization Analysis of Dam's 12 publications from 2018-2025 reveals consistent application of machine learning to software engineering challenges. His work shows progressive evolution from traditional ML techniques toward LLM-based frameworks, with major contributions in defect prediction (DeepJIT), vulnerability analysis, microservice recommendation, and agile effort estimation. The research demonstrates strong industry relevance through practical implementations in code review, component prediction, and security systems. Dam co-leads the Decision System Lab at UOW, which develops intelligent decision support systems using AI and data analytics. The lab's work bridges theoretical AI advancements with real-world software engineering applications, particularly in cybersecurity and autonomous systems development.

Gregory Gayمشاهده پروفایل

دانشیار

• Software Testing
• Search-Based Software Engineering
• AI for Software Engineering
• +۴ مورد دیگر

Gregory Gay is an Associate Professor in the Interaction Design and Software Engineering division within the Department of Computer Science and Engineering at Chalmers University of Technology and the University of Gothenburg, Sweden. His academic profile spans numerous software engineering conferences where he has served as committee member, program chair, and active researcher since at least 2018. Dr. Gay's research focuses on the intersection of software engineering and artificial intelligence, with particular emphasis on: Software Testing and Analysis Search-Based Software Engineering AI for Software Engineering (AI4SE) AI Engineering Automation of development tasks Software Carbon Footprint and sustainability His recent publications demonstrate a strong trend toward applying AI and optimization techniques to software testing challenges, with increasing focus on sustainability aspects of software development. Many studies take an industrial perspective, examining real-world applications in automotive software systems. His work blends theoretical foundations with practical applications, making significant contributions to both academic research and industrial practice in software engineering. Dr. Gay has been actively involved in numerous top software engineering conferences including ASE, ICSE, ESEC/FSE, ISSTA, and ICST, serving on program committees and organizing tracks. His research methodology typically combines optimization, artificial intelligence, and machine learning to help developers deliver complex systems in a safe, secure, and efficient manner.

Sam Malekمشاهده پروفایل

استاد

• Software Engineering
• Software Analysis and Testing
• Mobile Computing
• +۳ مورد دیگر

Sam Malek is a Professor in the Department of Informatics at the University of California, Irvine's School of Information and Computer Sciences, where he directs the Software Engineering and Analysis Laboratory. Previously serving as Director of the Institute for Software Research (2018-2022), his academic leadership spans software engineering research and institutional management. His research centers on software engineering with specialized expertise in software analysis and testing , mobile computing , security , software architecture , and accessible computing . Malek's work consistently focuses on developing practical techniques and tools for constructing, analyzing, and maintaining large-scale software systems, with recent emphasis on accessibility challenges in mobile and web environments. His publication trends reveal a strategic shift toward accessible computing since 2020, where he pioneered frameworks like Ma11y for web accessibility testing and Groundhog for mobile app crawling. Earlier work established foundations in energy testing (2020), GUI input generation (2021), and architectural analysis, demonstrating methodological evolution from core software engineering to human-centered accessibility solutions. ACM SIGSOFT test-of-time award (2020) National Science Foundation CAREER award (2013) GMU Emerging Researcher/Scholar/Creator award (2013) GMU Computer Science Department Outstanding Faculty Research Award (2011) Malek serves on editorial boards for ACM Transactions on Software Engineering and Methodology and ACM Transactions on Autonomous and Adaptive Systems , while frequently acting as a software expert witness in intellectual property litigation. His research group actively recruits PhD students through UCI's Software Engineering PhD program, with current projects focusing on AI-driven accessibility solutions and mobile testing frameworks. The Software Engineering and Analysis Laboratory under his direction maintains strong industry connections through sponsored research and tool development, particularly in accessibility testing and mobile application quality assurance.

Sabine Pfeifferمشاهده پروفایل

استاد

• Sociology of Work
• Digital Transformation
• Industry 4.0
• +۵ مورد دیگر

Prof. Dr. Sabine Pfeiffer holds the Chair of Sociology (Technology – Work – Society) at the Nuremberg Campus of Technology, part of Friedrich-Alexander University Erlangen-Nuremberg. She is an active researcher and thought leader in the sociology of work, with particular expertise in digital transformation, Industry 4.0, and labor capacity. Her work bridges academic research and practical applications in industry, with significant collaborations including the Volkswagen study and advisory roles with government bodies. Professor Pfeiffer's research interests focus on how digitalization transforms work structures and qualifications across various sectors including mechanical engineering, office work, and critical infrastructure. She has developed the Labouring Capacity Index (AV-Index) as a tool to measure living labor capacity and experience as resources for Industry 4.0 transition. Her work examines the intersection of technology, work organization, and social inequality, with particular attention to how workers navigate digital transformation in different occupational contexts. Her recent publications reveal consistent research trends examining the dual transformation of digitalization and sustainability, with particular focus on Volkswagen as a case study. The work explores transformation experience, resources, and readiness across multiple dimensions. She also investigates how AI is perceived and integrated in workplaces, the evolution of office work in digital environments, and the measurement of work through wearables and digital assistance systems. Best Paper Award for keynote speech on 'Work 4.0' at VET Conference in Rostock (2017) Nominated for 'Influencer of the Year 2013' by the Strategy Circle for Mechanical and Plant Engineering Professor Pfeiffer serves on the Council of the World of Work appointed by the Federal Ministry of Labour and Social Affairs, and recently joined the board of directors at bidt (Bavarian Institute of Technology Assessment). She previously served on the Research Advisory Board of the Industry 4.0 Platform and advisory boards at CIDAS. Her research is frequently funded through collaborations with institutions including BIBB (Federal Institute for Vocational Training), WZB Berlin Social Science Center, and industry partners like VDMA. Her work is conducted through the Labouratory research group at the Nuremberg Campus of Technology, which focuses on empirical studies of work in the digital age. The team employs mixed methods approaches including representative surveys, qualitative case studies, and workplace observations to understand the changing nature of work. Recent projects include the diGAP project on good agile project work and studies on digital transformation in mechanical engineering and office work sectors.

• Social Cognition
• Computational Psychiatry
• Neural Mechanisms
• +۳ مورد دیگر

Marco K. Wittmann is an MRC Career Development Fellow and Group Leader at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research, based in the Department of Experimental Psychology at University College London (UCL). His research focuses on the cognitive and neural mechanisms underlying social cognition and adaptive behavior in complex social environments. His educational background includes: BSc and MSc in Psychology (Diplom in Psychologie) from the Universities of Constance and Freiburg, Germany (2011) MSc in Neuroscience from the University of Oxford, UK (2012), funded by a Wellcome Trust scholarship DPhil in Neuroscience from the University of Oxford, UK (2017) Dr. Wittmann's research integrates computational modelling , neuroimaging , and brain stimulation techniques to investigate the neural basis of social cognition. His work particularly examines how the brain represents self and others, navigates social interactions, and adapts mental strategies in diverse social contexts. A key focus is on the causal role of specific brain regions, such as the dorsomedial prefrontal cortex, in social decision-making. His recent publications span high-impact journals including Nature Communications , Neuron , and Annual Review of Neuroscience , reflecting a strong emphasis on computational psychiatry , social neuroscience , and causal brain-behavior relationships . His work often involves primate models and human studies, bridging basic and clinical research. Scientific awards and fellowships include: MRC Career Development Fellowship Wellcome Trust Scholarship for MSc and DPhil As a group leader, Dr. Wittmann supervises a dynamic team and secures competitive research grants. His lab, the Metacognition and Computational Psychiatry Group, is part of the Max Planck-UCL Centre and focuses on cutting-edge research using non-invasive transcranial ultrasound stimulation to establish causal links between brain activity and social behavior.

• Cybersecurity
• Blockchain Technology
• Edge Computing
• +۳ مورد دیگر

Yu Chen is a researcher affiliated with Binghamton University (College of Engineering and Applied Sciences, Department of Computer Science) and University of Southern California , with additional ties to institutions like Chinese Academy of Sciences and Tsinghua University. Their work spans cybersecurity, blockchain technology, edge computing, and IoT systems , focusing on decentralized architectures for public safety, privacy-preserving surveillance, and defense against deepfake attacks. Primary Affiliation: Binghamton University, NY, USA Previous Affiliation: University of Southern California, CA, USA Yu Chen’s research explores blockchain-enabled security frameworks for IoT networks, UAV systems, and smart cities. Recent projects include the Microverse metaverse model and ELOCESS smart grid management. They specialize in real-time data authentication using Electrical Network Frequency (ENF) signals and edge-based privacy solutions for video surveillance and personal drones. Their 15 most recent publications address digital twin security , decentralized data marketplaces, and lightweight protocols for IoT devices. Key areas include UAV network resilience , smart city surveillance , and metaverse classroom models . Yu Chen collaborates with researchers such as Erik Blasch , Ronghua Xu , and Genshe Chen . No student names or specific awards are listed in the provided data.

• Mathematical Biology
• Computational Modeling
• Biophysics
• +۳ مورد دیگر

Sabine Fischer is a Professor for Supramolecular and Cellular Simulations at the University of Würzburg’s Center for Computational and Theoretical Biology (CCTB). She holds a PhD in Mathematics from the University of Nottingham (2009) and completed postdoctoral research at the University of Cambridge (2009-2011) and the University of Frankfurt (2011-2017). Her work focuses on mathematical modeling and data-driven simulations of biological processes across subcellular, multicellular, and multi-tissue scales. Key research areas include agent-based modeling of parasite collective behavior (e.g., Project 7 of SPP 2332 PoP), cell-cell interactions, and morphological modeling with Blender. Her group develops tools for image analysis and applies methods ranging from classical statistics to machine learning. Education: Diploma in Mathematics, University of Würzburg PhD in Mathematical Biology, University of Nottingham (2009) Professional Experience: Postdoc, University of Cambridge (2009-2011) Postdoc, University of Frankfurt (2011-2017) Development Engineer, h.a.l.m. Elektronik GmbH (2017-2018) Professor, University of Würzburg (since 2018) Her research integrates experimental data with computational models to study processes like mouse blastocyst differentiation, tissue-level organization, and parasitic locomotion. Current projects emphasize agent-based modeling of Trypanosoma collective behavior and the development of open-source tools like VESNA for 3D vessel analysis.

• Educational Technology
• Learning Analytics
• Artificial Intelligence in Education
• +۳ مورد دیگر

Marcus Specht is a Professor affiliated with Delft University of Technology and Leiden University, Netherlands. His research focuses on Educational Technology, Learning Analytics, and Artificial Intelligence in Education. He has contributed to projects involving agent-based social skills training, hybrid intelligence for cognitive process analysis, and computational thinking assessment in higher education. His work spans mobile learning, collaborative learning analytics, and gamification in MOOCs. He collaborates extensively with researchers like Marco Kalz, Roland Klemke, and Hendrik Drachsler. Notable contributions include the Presentation Trainer for public speaking feedback and the DojoIBL platform for inquiry-based learning. His research emphasizes multimodal learning systems, including AR/VR applications and sensor-based training tools. He explores the integration of AI into educational platforms, as seen in projects like JELAI and the ARTES architecture for social skills training.

• Internet of Things
• RFID and antenna design
• Wireless sensor networks
• +۵ مورد دیگر

Turke Althobaiti is an active researcher and faculty member whose recent work is concentrated in electrical and computer engineering, with strong interdisciplinary links to computer science and biomedical informatics. Based on co-author affiliations and publication scopes, he is associated with King Saud University, College of Engineering, Department of Electrical Engineering . Research Interests: Design of UHF RFID antennas and Internet-of-Things sensing systems. Localization and communication in smart cities, including non-line-of-sight mitigation and 5G/6G networks. Machine-learning-driven healthcare applications—ranging from COVID-19 detection via chest X-rays to arrhythmia and pneumonia screening. Assistive technologies for the visually impaired, employing contactless RF sensing and AI-based navigation aids. Cloud-security solutions, specifically ensemble intrusion-detection systems against flash-crowd attacks. Cross-disciplinary forays into metabolomics biomarkers and human-animal affective computing. Across 15 recent publications (2019-2025), Althobaiti demonstrates a clear trajectory toward AI-enabled sensing and communication . Workflows combine hardware-level innovations (antennas, RFID tags, USRP radios) with data-level advances (deep learning, ensemble methods, privacy-preserving techniques) to address real-world problems in healthcare, smart cities, and assistive living. Scientific Awards & Recognition: No specific awards are listed in the provided text. Advising & Grants: While no explicit list of students or funded projects is given, the high volume of multi-institutional collaborations and senior-author positions suggest active supervision of graduate researchers and participation in funded projects, most likely supported by the Deanship of Scientific Research at King Saud University or similar Saudi funding bodies. Laboratories & Teams: Though no formal laboratory names are provided, the breadth of hardware prototyping, RF experimentation, and AI model development implies access to well-equipped laboratories in RF/microwave engineering, embedded systems, and computational intelligence.

Maria A. Martinمشاهده پروفایل

پژوهشگر

• Climate Change Modeling
• Glaciology
• Numerical Simulation
• +۳ مورد دیگر

Dr. Maria A. Martin has been affiliated with the Potsdam Institute for Climate Impact Research (PIK) since 2008, initially as a doctoral student and later transitioning to a post-doctoral researcher. Since 2014, she has served as a Research Analyst within the Scientific Directors' Staff department. Her academic background includes a physics degree from the University of Potsdam and Université Pierre-et-Marie-Curie in Paris, where her doctoral thesis focused on synchronization in quantum-optical resonators. At PIK, she co-developed the Parallel Ice Sheet Model and conducted pioneering research on Antarctic ice-flow dynamics using numerical modeling techniques. Dr. Martin's research interests span climate modeling, glaciology, and environmental science, with a particular emphasis on understanding the mechanisms driving ice-sheet dynamics and their implications for sea-level rise. Her work integrates advanced computational models with observational data to address critical questions in climate science. Beyond technical contributions, she has engaged in science communication through initiatives like the children's podcast Pinselohr . Her professional network and collaborations are reflected in her participation in interdisciplinary projects at PIK, including contributions to policy advice and software development related to climate impact research. She holds an ORCID identifier (0000-0002-1443-0891) and maintains active involvement in academic discourse through peer-reviewed publications and institutional outreach activities.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Jing Zhao is a Professor at Beijing Institute of Technology's School of Automation, Department of Computer Science, with an extensive publication record spanning artificial intelligence, computer vision, medical imaging, and robotics. Their interdisciplinary research bridges theoretical computer science with practical applications in healthcare, agriculture, and engineering. Research interests focus on cutting-edge AI methodologies including deep learning architectures, neural rendering techniques, and multimodal systems. Notable work includes advancements in 3D reconstruction (Gaussian Splatting), medical image analysis for cancer diagnosis, and novel approaches to EEG-based emotion recognition. The research demonstrates strong interdisciplinary connections between computer science and domain-specific applications. Recent publications reveal a consistent trend toward practical AI implementations across diverse fields. Jing Zhao's work shows expertise in adapting theoretical machine learning concepts to solve real-world problems in medical diagnostics, agricultural monitoring, and robotics. The research portfolio demonstrates particular strength in developing novel neural network architectures for specialized applications. As a corresponding author on numerous high-impact publications, Jing Zhao appears to lead a productive research group with collaborations spanning multiple institutions and disciplines. The publication record indicates significant contributions to both theoretical computer science and applied AI solutions across various domains.

• Semantic Web
• Data Integration
• Ontology Matching
• +۴ مورد دیگر

Dominique Ritze is a Research Fellow at the Data and Web Science Group of the University of Mannheim. Her research focuses on ontology alignment, semantic web technologies, linked open data integration, and knowledge organization systems. She collaborates with Prof. Dr. Christian Bizer and Prof. Dr. Kai Eckert on projects like InFoLiS II, aiming to advance data integration and semantic web applications. Education: MSc Computer Science (Diplom-Informatikerin) Research Interests: Dominique’s work bridges theoretical and applied aspects of semantic web technologies. Key areas include ontology evaluation frameworks, cross-domain data integration, and the development of tools for provenance tracking and data reuse. She has contributed to methodologies for aligning knowledge organization systems (KOS) and enhancing discovery systems with linked data. Publications Trends: Her articles from 2010-2015 emphasize ontology alignment (e.g., OAEI evaluations), semantic web applications, and data integration techniques. Notable contributions include the ICE-Map visualization for KOS evaluation and the Mannheim Search Join Engine for cross-website table integration. Awards: No scientific awards explicitly listed in the provided texts. Projects & Teams: Active in the Data and Web Science Group, leading projects on web table matching and semantic data integration. Collaborates with global research networks through initiatives like the Ontology Alignment Evaluation Initiative.

Maria Schweigelمشاهده پروفایل

استاد

• Artificial Intelligence Algorithms
• Optimization Techniques
• Software Development
• +۴ مورد دیگر

Professor Maria Schweigel Prof. Maria Schweigel is a Professor at the Department of Autonomous Systems, Schmalkalden University of Applied Sciences. Her teaching focuses on automation control, electronic control systems, robotics, and embedded systems. She leads the research group 'Eingebettete Diagnosesysteme' (Embedded Diagnostic Systems) and specializes in artificial intelligence algorithms, optimization using genetic and evolutionary methods, and biosignal analysis for anesthesia and sleep studies. Her research spans robotics, embedded systems, image processing, and software development with tools like C/C++, MATLAB/Simulink, and LabView. Key projects include real-time EEG classification for anesthesia monitoring, low-SNR biomedical signal extraction, and SVM-based classification on resource-constrained platforms. She has contributed to international conferences like ECT and IWK TU Ilmenau, focusing on interdisciplinary applications in medical technology and autonomous systems. No scientific awards were explicitly listed in the provided materials. Her advising and grants are not detailed here, but her extensive publication record (2009–2016) demonstrates active involvement in collaborative research with colleagues like Wenzel, Walther, and Baumgart-Schmitt. She co-developed tools such as the Multi-EEG-Viewer and explored wireless biomedical signal transmission for relaxation control systems.