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Theodoros TsakirisView profile

Associate Professor

• Geopolitics
• Energy Policy
• International Relations
• +5 more

Dr. Theodoros Tsakiris is an Associate Professor of Geopolitics and Energy Policy at the School of Business, University of Nicosia . He serves as an International Research Associate at ESCP's London-based Research Center for Energy Management and leads the Energy & Geopolitics Program at ELIAMEP, Greece's leading foreign policy think tank. Dr. Tsakiris contributes to the Horizon 2020 research program FEUTURE , analyzing EU-Turkish relations, and teaches courses on oil & gas geopolitics, economics, and markets. He coordinates energy-related study programs at UNIC and is seconded to the Department of Engineering and the Department of International & European Relations . PhD , Faculty of International & European Studies, Panteion University of Athens (2008) Master , School of Foreign Service, Georgetown University (2002) Bachelor , Faculty of Philosophy, National and Kapodistrian University of Athens (1999) Dr. Tsakiris' research focuses on energy security , geopolitical dynamics in the Eastern Mediterranean , and EU energy policy . His work explores Turkish revisionism , cross-border energy infrastructure , and regional cooperation mechanisms , particularly regarding natural gas reserves and export routes. He has authored 1 book , 10 monographs , 14 book chapters , and 13 peer-reviewed articles in multiple languages, with citations from institutions like Harvard University's Belfer Center and MIT Energy Initiative. His recent publications analyze the impact of the Russian-Ukrainian War on EU gas supplies , the geopolitical significance of the EastMed Pipeline , and the role of Cyprus, Israel, and Egypt in EU energy diversification . Dr. Tsakiris has held high-level policy advisory roles, including Director for International Policy Planning for the Greek Minister of Energy and member of Cyprus' Council for Geostrategic Studies (2014–2015). He is a research associate at UNIC's Center for European and International Affairs and leads the Energy Geopolitics Committee at the Hellenic Association for Energy Economics.

Hongsheng HuView profile

Lecturer

• Data Privacy
• Machine Unlearning
• Trustworthy Machine Learning
• +5 more

Dr. Hongsheng Hu is currently a Lecturer in the School of Information and Physical Sciences at the University of Newcastle, Australia, specializing in the Data Science and Statistics focus area. Prior to this position, he served as a Postdoc Research Fellow at CSIRO's Data61 from October 2022 to August 2024. His academic journey includes a Doctor of Philosophy in Computer Systems Engineering from the University of Auckland in New Zealand, establishing his foundation in advanced computing systems. Dr. Hu's research centers on enhancing the trustworthiness of machine learning systems, with particular emphasis on identifying critical privacy vulnerabilities within machine learning models and developing robust defensive strategies. His work spans several key domains including adversarial machine learning (30% focus), statistical data science (30% focus), and data and information privacy (40% focus). He investigates membership inference attacks, machine unlearning techniques, and privacy-preserving mechanisms in federated learning environments. His research addresses fundamental challenges in AI security, exploring how machine learning models can be compromised through sophisticated privacy attacks and developing methods to mitigate these vulnerabilities while maintaining model utility. Analysis of Dr. Hu's publication record reveals a strong research trajectory focused on machine learning security and privacy. His work consistently addresses vulnerabilities in machine learning systems, particularly examining membership inference attacks, machine unlearning mechanisms, and privacy-preserving techniques in federated learning. The research spans top-tier venues including IEEE Security & Privacy, USENIX Security, NDSS, NeurIPS, IJCAI, AAAI, and WWW, demonstrating both technical depth and recognition by the research community. His publications show an evolving focus from foundational privacy attacks to developing more sophisticated unlearning techniques and robust defense mechanisms, with increasing citation counts indicating growing impact in the field. Active Program Committee member for USENIX Security, NDSS, ICLR, IJCAI, WWW, ICDM, ECML, and PKDD Invited reviewer for IEEE Transactions on Information Forensics and Security (TIFS), IEEE Transactions on Dependable and Secure Computing (TDSC), IEEE Transactions on Pattern Analysis and Machine Intelligence (IPAMI), and ACM Computing Surveys (CSUR) Dr. Hu currently serves as Course Coordinator for STAT6020 and STAT2020 Predictive Analytics at the University of Newcastle. As an academic supervisor, he co-supervises one PhD student working on 'Identifying and Mitigating Vulnerability in Recommender Systems' at Macquarie University. His research collaborations span multiple countries, with significant publication counts in Australia (18), China (12), New Zealand (10), and the United States (7), reflecting an active international research network focused on AI security challenges.

• Biomedical Image Analysis
• Computational Neuroscience
• Biomedical Informatics
• +4 more

Tianming Liu serves as a Distinguished Research Professor in the School of Computing at the University of Georgia, with courtesy faculty appointments in the Department of Epidemiology and Biostatistics at the College of Public Health and the Institute of Bioinformatics. His academic career at UGA spans from Assistant Professor (2008-2013) to Associate Professor (2013-2015) to full Professor (2015-present), culminating in his recognition as a Distinguished Research Professor in 2017. He also serves as Graduate Program Faculty in the School of Computing. Education: Ph.D. in Computer Engineering, Shanghai Jiaotong University, China (2002) Master of Science in Computer Science, Northwestern Polytechnical University, China (1999) Bachelor of Arts in Computer Science, Northwestern Polytechnical University, China (1998) Dr. Liu's research focuses on the intersection of computer science and neuroscience, with particular expertise in biomedical image analysis, computational neuroscience, and biomedical informatics. His work centers on cortical architecture imaging and discovery, developing advanced computational methods for analyzing brain structure and function. His research spans multiple disciplines including neurosciences, cognitive sciences, biomedical engineering, and clinical sciences, with applications in understanding Alzheimer's disease progression, brain connectomics, and neural architecture. Analysis of Dr. Liu's recent publications reveals a strong trajectory in applying deep learning techniques to neuroimaging data. His work increasingly focuses on developing sophisticated neural network architectures specifically designed for brain connectome analysis, with particular attention to spatiotemporal dynamics and hierarchical organization of brain networks. Recent publications demonstrate his leadership in applying neural architecture search methods to optimize brain network analysis pipelines, with applications spanning from Alzheimer's disease research to fundamental neuroscience questions about cortical folding patterns. Scientific Recognition: Distinguished Research Professor at the University of Georgia (2017) Dr. Liu has secured substantial research funding through multiple competitive grants from NIH and NSF, demonstrating the significance and impact of his work. His most notable projects include the NIH R01 grant "Developing an Individualized Deep Connectome Framework for ADRD Analysis," the NIH R01 grant "Mapping Trajectories of Alzheimer's Progression via Personalized Brain Anchor-nodes," and the NSF CRCNS grant "Exploring the Mechanism of 3-Hinge Gyral Formation and its Role in Brain Networks." These projects highlight his leadership in applying computational methods to address critical challenges in neuroscience and medicine, particularly in the domain of Alzheimer's Disease and Related Dementias (ADRD). Dr. Liu collaborates extensively across disciplines, working with researchers at institutions including University of Virginia, Emory University, UNC Chapel Hill, and UT Arlington. His work has contributed to the development of BiomedGPT, an open-source visual-language foundation model for biomedical applications, demonstrating his commitment to creating accessible tools for the broader research community.

Adriana IamnitchiView profile

Professor

• Computational Social Science
• Social Media Analysis
• Misinformation Detection
• +3 more

Adriana Iamnitchi is a Full Professor and Key Domain Chair for Computational Science at Maastricht University's Faculty of Science and Engineering, affiliated with the Department of Advanced Computing Sciences. Her research focuses on computational social science, social media dynamics, and misinformation detection. Her primary research interests include: Analysis of coordinated information campaigns across social platforms Development of LLM-based synthetic data generation for social media research Polarization quantification in multi-community networks Policy compliance frameworks for digital regulation (e.g., EU's Digital Services Act) Ethical AI applications for content moderation and transparency Her recent publications (2023-2025) demonstrate strong focus on: Cross-platform disinformation detection using multimodal embeddings Generative AI for synthetic social media datasets Quantitative analysis of toxicity monetization in creator economies Regulatory compliance automation for content transparency

Roberto GiorgiView profile

Associate Professor

• Computer Architecture
• Multiprocessor Systems
• Multicore Architectures
• +6 more

Roberto Giorgi is an Associate Professor of Computer Engineering at the Department of Information Engineering, University of Siena, Italy. He has held this position since October 1, 2006, following his tenure as an Assistant Professor since March 15, 1999. His educational background includes a Ph.D. in Computer Engineering from the University of Pisa (1999) with a thesis on coherence protocols for shared-memory multiprocessors, and an Electronic Engineering degree (1995) with a thesis on trace-driven performance evaluation of multiprocessors. Giorgi's primary research focuses on Computer Architecture , particularly on multiprocessor/multicore issues including processor design, coherence protocols, programmability, and energy efficiency. His work spans both theoretical and practical aspects of computer architecture, with emphasis on real-world implementations and educational tools. He has coordinated significant EU-funded projects including AXIOM (2014-2018) on Smart Cyber-Physical Systems and TERAFLUX (2009-2014) on Many-Cores. His recent publications (2022-2025) demonstrate a strong progression toward practical applications of computer architecture research, with particular emphasis on RISC-V architecture, FPGA-based acceleration, dataflow computing models (especially DF-Threads), and graph processing. Many of his papers address educational tools for computer architecture education, real-time object detection on embedded platforms, and novel execution paradigms for edge computing and HPC. IEEE Senior Member ACM Lifetime Member Coordinator of EU-funded AXIOM project (2014-2018) on Smart Cyber-Physical Systems Coordinator of EU-funded TERAFLUX project (2009-2014) on Many-Cores Giorgi has been actively involved in securing research funding and building collaborations, particularly in high-performance computer architecture research with emphasis on scalable architectures and embedded systems. He leads the Computer Architecture Lab (ROOM 223) at the University of Siena, which was established in 2007, and has been instrumental in developing practical implementations of architectural concepts including the AXIOM platform for cyber-physical systems.

Kevin HongView profile

Professor

• Information Systems
• Online Platforms
• Privacy Design
• +4 more

Kevin Hong is a Professor and Miami Herbert Centennial Endowed Chair at the University of Miami's Miami Herbert Business School , where he also serves as Associate Dean for Research. His work focuses on information systems and digital platform design. Current roles: Professor, Centennial Endowed Chair, Associate Dean for Research Email: yxh1034@miami.edu ORCiD: 0000-0002-0577-7877 Research Interests: Kevin Hong's work explores digital privacy, user engagement, and behavioral economics across online platforms. His studies examine: Temporal cues in online learning environments Privacy-enhancing designs in dating applications AI implementation in customer service Content generation incentives in knowledge platforms Labor dynamics in gig economy marketplaces Publication Trends: Recent studies demonstrate expertise in field experimentation, behavioral analytics, and platform economics. Key methodologies include: Randomized controlled trials Difference-in-differences modeling Large-scale observational studies

Sarah SonView profile

Senior Lecturer

• Identity in international relations
• Inter-Korean relations
• Human rights monitoring in North Korea
• +5 more

Dr Sarah Son is a Senior Lecturer in Korean Studies at the School of Languages, Arts and Societies, University of Sheffield , where she has been a faculty member since 2019. Her work bridges academic research with practical engagement in human rights and cultural analysis. BA from Bond University MA from SOAS, University of London PhD from SOAS, University of London Dr Son's research focuses on identity in international relations , human rights monitoring in North Korea , and pop culture's role in East Asian international relations , with additional work on migration, diaspora, and peace-building. Her interdisciplinary approach combines anthropology, sociology, and history to analyze complex regional politics. Her recent publications explore transitional justice frameworks for North Korea, K-drama's geopolitical narratives , and remote sensing technologies for human rights documentation . These works highlight her expertise in both empirical and theoretical dimensions of East Asian studies.

Vanitha SwaminathanView profile

Professor

• Branding
• Consumer Behavior
• Digital Marketing
• +2 more

Dr. Vanitha Swaminathan serves as the Thomas Marshall Professor of Marketing and Associate Dean for Research and Strategic Initiatives at the University of Pittsburgh's Katz Graduate School of Business, while also directing the Center for Branding. Her leadership focuses on enhancing institutional brand identity, fostering industry research partnerships, and advancing distinctive excellence in education and scholarship. Her academic credentials include: PhD in Business Administration, University of Georgia MBA, XLRI Jamshedpur, India BA in Economics, University of Madras Dr. Swaminathan's pioneering research examines branding in hyperconnected environments, with emphasis on consumer-brand relationship dynamics, digital brand engagement frameworks, and pandemic-era consumption patterns. She has developed foundational theories for understanding brand strategy in digital ecosystems and co-authored the seminal textbook Strategic Brand Management with Kevin Lane Keller. Her publication trajectory reveals consistent innovation across three interconnected domains: digital branding evolution (40% of recent work), consumer behavior in crisis contexts (30%), and financial-brand equity linkages (30%). This interdisciplinary approach bridges marketing theory with practical business applications through rigorous methodological frameworks. Her distinguished accolades encompass: Fellow of the American Marketing Association (2024) University of Pittsburgh Provost’s Award for Excellence in Doctoral Mentoring (2025) Lehmann Best Paper Award (twice) Journal of Advertising Best Paper Award ACC-ALN Fellow designation (2024) American Academy of Advertising Best Paper Award (2006) University-wide Excellence in Teaching and Research Awards (2018-2019) As an academic advisor, she has mentored doctoral researchers including Christian Hughes (recipient of the Answers in Action Grant), while securing substantial research funding through industry partnerships with Fortune 500 companies. Her consulting portfolio spans EA Sports, Hershey, P&G, and GlaxoSmithKline, translating theoretical insights into actionable brand strategies. Through the Center for Branding, which she founded and directs, Dr. Swaminathan has established Pittsburgh as a hub for digital branding innovation, launching specialized courses and cross-disciplinary initiatives that merge academic rigor with industry relevance in the rapidly evolving marketing landscape.

Natalie CicconeView profile

Professor

• Aphasia
• Neurogenic communication disorders
• Stroke rehabilitation
• +6 more

Professor Natalie Ciccone is a Professor in Speech Pathology at Edith Cowan University's School of Medical and Health Sciences. She joined ECU in 2009 after working in Speech Pathology programs at Curtin University since 1999. Professor Ciccone is currently involved in two NHMRC-funded projects: a multi-centre randomized control trial of very early intervention for people with aphasia after stroke and an exploration into communication disorders after stroke and traumatic brain injury in Aboriginal peoples in Western Australia. Her educational background includes a Doctor of Philosophy in Human Communication Science from Curtin University of Technology (2003) and a Bachelor of Science in Speech & Hearing Science from the same institution (1996). Professor Ciccone's research focuses on neurogenic communication disorders, particularly aphasia intervention, clinical decision making, communication difficulties after stroke in Aboriginal Australians, and the use of discourse in the analysis and treatment of aphasia. Her work bridges clinical practice with culturally responsive care, emphasizing the importance of understanding communication disorders within specific cultural contexts, particularly for Aboriginal populations. Analysis of her recent publications reveals a strong emphasis on culturally responsive rehabilitation for Aboriginal Australians with brain injuries, early intervention for aphasia after stroke, treatment fidelity in clinical trials, and innovative educational approaches in speech pathology. Her work shows a consistent trajectory toward addressing health disparities and developing culturally safe rehabilitation practices. Member of the Editorial Committee for the Journal of Clinical Practice in Speech Language Pathology Active participant in national and international speech pathology and allied health conferences Professor Ciccone has supervised numerous research students, including PhD candidates and Master's students, with projects focusing on aphasia rehabilitation, simulation-based learning, and culturally responsive care. Her research projects have secured substantial funding from organizations including the National Health and Medical Research Council, Department of Health WA, and the Perron Institute for Neurological and Translational Science. She has led projects totaling over $8 million in research funding, with current projects focusing on AI-driven virtual character simulation for aggression de-escalation training and enhancing rehabilitation services for Aboriginal Australians after brain injury. Professor Ciccone maintains active clinical connections, having worked as a speech pathologist in acute and rehabilitation hospital settings as well as community-based clinics in Perth and Darwin, primarily working with patients with communication and swallowing difficulties following stroke and head injury.

Peter SewellView profile

Professor

• Concurrency
• Programming Languages
• Formal Methods
• +5 more

Peter Sewell is Professor of Computer Science at the University of Cambridge Computer Laboratory, where he builds rigorous foundations for real-world computer systems to enhance robustness, security, and formal verification of hardware-software interactions. His educational background includes undergraduate studies at the University of Cambridge and University of Oxford, followed by a PhD from the University of Edinburgh in 1995 under Robin Milner's supervision. Professor Sewell's research focuses on concurrency models (x86, ARM, Power, C/C++11), verified compilation, formal semantics for C/linking/filesystems/TLS, and applied semantics tools. He pioneers executable ISA specifications through projects like Sail and Cerberus, addressing relaxed-memory concurrency and capability-based security architectures. His 2020-2026 publications reveal a clear trajectory toward formal verification of hardware security properties, with increasing emphasis on capability systems (Arm Morello, CHERI) and real-world applicability of concurrency models across ARM, RISC-V, and MIPS architectures. Scientific recognition: Royal Society University Research Fellowship (1999-2007) He leads major research initiatives in systems security formalization, supported by Cambridge positions and collaborative projects with industry partners. His work bridges theoretical formal methods and practical systems engineering through executable semantics frameworks. As a core member of Cambridge's Systems Research Group, he directs projects including Sail (ISA semantics), Cerberus (C semantics), and verification frameworks for capability architectures, fostering interdisciplinary collaboration across hardware and software security domains.

Weiqing SunView profile

Professor

• Computer Security
• Network Security
• Malware Defense
• +6 more

Weiqing Sun is a Professor in the Computer Science and Engineering Technology Program within the Department of Engineering Technology at the College of Engineering, University of Toledo. He serves as the Program Director for the Master's Programs in Cyber Security and is also the Cyber Security Faculty Fellow for UT DTAS (Division of Technology and Advanced Solutions). His office is located in NE 1627 at the University of Toledo. Dr. Sun earned his Ph.D. degree from the Computer Science Department at Stony Brook University (SUNY at Stony Brook) in 2008. He completed his undergraduate and master's education in China, holding both B.E. and M.E. degrees in Computer Science and Engineering from Tongji University, Shanghai. Dr. Sun's primary research focuses on computer and network security, with particular emphasis on malware defense and detection, security policy development, security testbed creation, and intrusion detection systems. His work extends to enhancing security across various critical infrastructure systems including smart grids, cloud computing environments, software-defined networks, unmanned aerial vehicles, healthcare information systems, and transportation networks. His research approach combines theoretical foundations with practical implementations, often developing simulation testbeds to evaluate security solutions in realistic scenarios. Analysis of Dr. Sun's publication record reveals a consistent focus on practical cybersecurity solutions across multiple domains. His work shows evolution from foundational security mechanisms toward specialized applications in emerging technologies like UAV networks, smart grids, and connected vehicles. A notable trend is his development of simulation testbeds for security evaluation, demonstrating his commitment to bridging theoretical security concepts with real-world implementation challenges. His research increasingly incorporates machine learning and deep learning techniques for intrusion detection and anomaly identification. Dr. Sun has been actively involved in mentoring students and developing curriculum in cybersecurity. His teaching portfolio includes advanced courses in computer and network security, software engineering, programming languages, and web services. He has contributed to cybersecurity education through the development of hands-on lab environments that provide practical security experience for students. His research has received support from the Ohio Department of Transportation and the University of Toledo, enabling his work on critical infrastructure security. Dr. Sun leads research initiatives focused on creating secure environments for emerging technologies and critical systems. Dr. Sun directs the Cyber Security Research Lab at the University of Toledo, where his team works on developing innovative security solutions for various platforms and systems. The lab focuses on practical security implementations, often creating simulation environments to test security mechanisms before real-world deployment.

Eva BlomqvistView profile

Assistant Professor

• Decision Support Systems
• Security Domain
• Crisis Management
• +3 more

Eva Blomqvist serves as an Assistant Professor in the Department of Computer and Information Science (IDA) at Linköping University, Sweden. She is actively affiliated with the MDA laboratory within the Human-Centered Systems (HCS) division, focusing on critical-domain decision support systems. Her research centers on Semantic Web technologies and ontology engineering, with specialized expertise in ontology design patterns for security and crisis management applications. She pioneered the eXtreme Design methodology for agile ontology development and contributed foundational work on ontology testing frameworks, bridging theoretical knowledge representation with real-world operational systems. Analysis of her 2009-2016 publications reveals a progressive research trajectory from foundational pattern formalization to practical engineering methodologies. Her work consistently emphasizes reusable design patterns, validation techniques, and human-centered implementation within semantic technologies, establishing her as a key contributor to ontology engineering standards. No scientific awards were documented in the source material. While student advising and grant details remain unspecified in available records, her collaborative projects indicate active research leadership in ontology development. As a core member of IDA's MDA lab (HCS division), she contributes to human-centered decision analytics research, particularly developing ontology-driven support systems for high-stakes security and crisis scenarios through projects like Networked Ontologies.

Hyung Joon YoonView profile

Associate Professor

• Career Development
• Human Resource Development
• Organization Development
• +3 more

Dr. Hyung Joon Yoon is an Associate Professor of Workforce Education and Development (WFED) in the College of Education at Pennsylvania State University, where he also serves as Professor-in-Charge of the WFED program. Previously, he held faculty positions at Al Akhawayn University and George Washington University. His professional experience spans HRD practice, career coaching, and OD consulting for organizations including LG Display, Korea Leadership Center, and the Korean Army. Dr. Yoon's research focuses on empowering individuals and organizations through human agency and hope. He developed the Human Agency-Based Individual Transformation (HABIT) model and co-created Hope-Action Theory with associated assessment tools. His work has been translated into 7 languages and applied globally in career development contexts. He holds a Ph.D. in Workforce Education and Development from Penn State and maintains multiple certifications including Career Development Facilitator Master Trainer and Six Sigma Green Belt. As Associate Editor of Human Resource Development Review (2020-2023), he contributed to theory-building in HRD. Awards & Honors NCDA Fellow for career development leadership Franklin Covey's Individual Greatness Award Leadership & Service Directs the Agentic Career, Leadership, and Organization Development (ACLOD) Lab, aiming to become a global research hub for agentic organizations. Lab goals include securing $10M NSF grants and developing AI-enhanced career platforms. Served on NCDA's Board of Directors (2013-2019).

Kalina BontchevaView profile

Researcher

• NLP for social media
• semantic search
• GATE infrastructure
• +8 more

Kalina Bontcheva is a Senior Researcher in the Natural Language Processing Group within the Department of Computer Science at the University of Sheffield. She holds an EPSRC Career Acceleration Fellowship (working part-time since October 2015) focused on personalized summarization of social media content. Her research spans multiple EU-funded projects including PHEME (computing veracity of social media), TrendMiner, DecarboNet, and uComp, with significant contributions to the GATE (General Architecture for Text Engineering) open-source NLP infrastructure since 1999. Dr. Bontcheva's research interests focus on the intersection of natural language processing and social media analysis. Her work encompasses NLP for social media, semantic search, information extraction from social platforms, crowdsourcing of NLP corpora, collaborative text annotation, semantic technologies, and text mining and analytics. She has particular expertise in developing methods for personalized, abstractive multi-document summarization across different social media platforms, addressing the challenges of noisy, jargon-filled and dynamic content. Her interdisciplinary approach combines machine learning, semantic technologies, and social dimension analysis to create systems that adapt to individual users' information seeking goals. Analysis of her recent publications reveals a strong focus on social media processing challenges, with emphasis on Twitter analysis, temporal expression recognition, and handling noisy text. Her work consistently addresses the unique characteristics of social media content and develops specialized techniques for information extraction, sentiment analysis, and user geolocation within these platforms. The GATE framework serves as the foundation for much of her tool development, demonstrating her commitment to creating reusable, open-source NLP infrastructure. Her most significant award is the EPSRC Career Acceleration Fellowship, which supports her work on personalized social media summarization. This prestigious fellowship includes a substantial budget of £560k and involves collaborations with industry partners including The Press Association, British Telecom, and Fizzback. Dr. Bontcheva has led numerous major research projects throughout her career. She was Principal Investigator on three EU-funded projects (MUSING, TAO, and ServiceFinder) between 2006-2009, coordinating the TAO consortium with seven partner institutions. She currently leads the PHEME EU project and serves as PI for TrendMiner and DecarboNet European projects, while also contributing as Co-I on the uComp project. Her project portfolio demonstrates consistent success in securing competitive research funding across multiple domains within NLP and semantic technologies. She works within the Natural Language Processing Group at the University of Sheffield, which has been central to the development of the GATE infrastructure. Her work connects with various initiatives including the GATE Cloud platform and the TextVRE project for e-humanities textual studies. She has established collaborations with organizations including the Press Association, British Telecom, Oxford Internet Institute, and Sheffield's Department of Journalism to ensure her research addresses real-world needs across different user communities.

• Human-Machine Interaction
• Usability Testing
• User Experience (UX)
• +5 more

Jürgen Sauer is a Full Professor at the University of Fribourg , affiliated with the Department of Psychology under the Faculty of Letters and Human Sciences . With over 120 publications, his research focuses on Human-Machine Interaction , Usability Testing , User Experience (UX) , and Automation Design , particularly in high-stakes environments like X-ray baggage screening and spaceflight simulations . Email: juergen.sauer@unifr.ch Phone: +41 26 300 7622 Address: RM 01 bu. C-1.117, Rue PA de Faucigny 2, 1700 Fribourg Orcid: 0000-0003-2105-1694 His research projects, funded by the Swiss National Science Foundation (FNS), include: Improving work design for airport security officers (2019-2024): Developed pictorial scales for measuring psychological constructs in security environments. Social stress and support in hybrid teams (2018-2023): Investigated machine-induced social stressors and mitigation through social support. Automation in visual inspection tasks (2014-2018): Examined adaptable automation for baggage screening and system reliability effects. Usability testing effectiveness (2012-2016): Analyzed cultural background impacts and non-usability product features influencing test outcomes. Key contributions include the Luggage Inspection Simulation (LIS) environment for modeling work environments and the development of pictorial usability scales for multilingual applicability. His work bridges ergonomics , human factors , and applied psychology , with notable collaborations with researchers like Adrian Schwaninger and Andreas Sonderegger . His recent publications (2025-2014) analyze: Human-machine performance under false alarms and miscues Social stressor dynamics in hybrid teams Usability scale animation effects Phubbing behavior in professional contexts Accessible website design for non-disabled users