جست‌وجوی استاد و پژوهشگر

Nalin Arachchilageمشاهده پروفایل

دانشیار

• Cyber Security
• Human-Computer Interaction (HCI)
• Software Engineering
• +۵ مورد دیگر

Associate Professor Nalin Arachchilage is a leading academic in Cyber Security at RMIT University's School of Computing Technologies. He holds an honorary role at the University of Warwick and advises DEFSAFE Cyber Security Inc. His research focuses on usable security, privacy engineering, and AI-driven cybersecurity solutions. Key roles include revamping RMIT's Master of Cyber Security program and leading the Usable Security Engineering group at UNSW ADFA. Education: PhD in Cyber Security (Brunel University), Postdocs at Oxford and UBC. Research spans interdisciplinary areas including HCI, machine learning for threat modeling, and serious games for security education. He has published extensively in top venues like ACM CCS and SOUPS, contributing to global standards like OWASP. Leadership: Previously Assistant Head of School (Research) at the University of Auckland, and Director of the MProfStuds in Digital Security. Active in program committees for major conferences (ACM CCS, SOUPS). Current supervision includes 5 PhD students across RMIT and Auckland. Media Impact: Featured in Sky News Australia, ABC, and TVNZ. Collaborations with HP and Facebook. Awards include impactful contributions to security frameworks and standards. Teaching: Coordinates courses like INTE2625 (Cyber Security) and COSC2738 (Human-Centric Cyber Security). Supervises projects on topics like blockchain security and responsible AI. Non-Academic Roles: Chair of the Academic Board at Canberra Business & Technology College (2020-2021). Advisor to DEFSAFE, focusing on novel cyber-security products.

Marco Giacaloneمشاهده پروفایل

استاد پژوهشی

• Digitalisation of Legal Processes
• Private International Law
• Online Dispute Resolution (ODR)
• +۴ مورد دیگر

Marco Giacalone is a Research Professor at the Private and Economic Law Department (PREC) of the Vrije Universiteit Brussel (VUB), where he also serves as Co-Director of the Research Group on Digitalisation and Access to Justice (DIKE). He holds adjunct professorships at VUB (2018-2019) and has been a postdoctoral researcher at the Brussels Research Institute on Development, Governance, and Empowerment. His work focuses on the intersection of digital technologies and legal processes, particularly in Private International Law, ODR, and ADR. **Education**: PhD in Law (Doctor Europaeus, 2016) from VUB and University of Naples Federico II, specializing in Dispute Resolution and emerging IT realities. **Research Interests**: Digital transformation of legal systems, blockchain applications in justice, AI-driven conflict resolution, cross-border dispute mechanisms, and equitable algorithmic systems. His projects include EU-funded initiatives like CREA3 (Equitative Algorithms) and IDEA (Access to Justice tools). **Grants & Projects**: Over 10 projects funded by the EU, including EU683 (Equitative Algorithms), EU681 (IDEA), and EU676 (Digitalising Small Claims). Active in consortiums like IPSU 2022 (Digital Ius Knowledge Empowerment) and OZR4193 (VUB-UNIPARTHENOPE PhD collaboration). **Awards**: 2019 Best Paper Award and Marie Skłodowska-Curie Fellowship (2020). Extensive speaking engagements on topics like AI in judiciary, blockchain legal frameworks, and digital justice. **Labs/Teams**: Leads the DIKE Research Group and collaborates with the Brussels Research Institute. Involved in developing tools like Prodigit (digital tax justice) and CREA’s cloud-based decision support systems.

Benjamin Xieمشاهده پروفایل

استادیار

• Computing Education
• Human-Computer Interaction (HCI)
• Critical Data Studies
• +۷ مورد دیگر

Dr. Benjamin Xie is an Assistant Professor joining the Department of Computer Science at the University of Denver's Ritchie School of Engineering and Computer Science in fall 2025. He is currently a Postdoctoral Fellow at Stanford University, jointly affiliated with the Human-Computer Interaction Group and the Graduate School of Education. His research focuses on designing equitable and critical human-data interactions in educational and environmental justice contexts. PhD in Information Science, University of Washington (2022) MEng in Computer Science, Massachusetts Institute of Technology (2016) BS in Computer Science, Massachusetts Institute of Technology (2015) Dr. Xie’s research lies at the intersection of computing education, human-computer interaction, and AI ethics. He investigates how to make computing education more inclusive, ethical, and critical. His work emphasizes participatory design, co-designing curricula with educators, and developing tools that scaffold AI literacy for high school students. He also explores how data can be used to promote equity in large-scale computing courses and environmental justice initiatives. His recent publications highlight a strong trajectory in AI and computing education, including benchmarking LLMs in CS assessments, co-designing AI curricula with teachers, and developing tools like Prompty to foster critical engagement with generative AI. His work consistently addresses ethical implications and equity considerations in technology education. Dr. Xie has been recognized with prestigious awards, including: National Science Foundation (NSF) Graduate Research Fellowship Embedded Ethics Fellow at Stanford’s Institute for Human-Centered AI and McCoy Center for Ethics in Society He actively mentors students and collaborates with K–12 educators and community organizations. While formal advisees are not listed, he welcomes student inquiries and is building his research group at the University of Denver. His future work will continue to bridge technical innovation with social impact, particularly in democratizing access to AI and data literacy. Dr. Xie leads projects on environmental data justice, AI literacy tools, and equitable computing education. He collaborates with teams at Stanford and will establish a research lab at the University of Denver focused on critical and equitable human-data interactions.

Azza Abouziedمشاهده پروفایل

دانشیار

• Human-Data Interaction
• Database Systems
• Human-Computer Interaction
• +۷ مورد دیگر

Azza Abouzied is Associate Professor of Computer Science at New York University Abu Dhabi and Global Network Associate Professor at the Tandon School of Engineering. She serves as Vice Provost for Faculty Advancement and Engagement at NYUAD starting September 2024. Her research bridges database systems and human-computer interaction, focusing on intuitive tools for data querying and decision-making in uncertain, collaborative environments. PhD, Yale University (2013) MPhil, Yale University MSc, Dalhousie University BSc, Dalhousie University Her research centers on human-data interaction, designing systems that make data accessible to non-experts. She combines techniques from UI design, machine learning, and databases to build tools that simplify complex data tasks. Her earlier work focused on example-driven querying and synthetic data generation, while her recent work explores in-database prescriptive analytics and decision support in domains like disinformation mitigation and epidemic planning. Her publications span database and HCI venues, with a recurring theme of enhancing usability without sacrificing scalability. She co-founded Hadapt, a Big Data analytics platform, and has led interdisciplinary research through the Human-Data Interaction Lab and the Center for Interacting Urban Networks. Her teaching includes foundational courses such as Database Systems, Operating Systems, and Data, as well as the critical thinking course Techruption. VLDB Test of Time Award (2019) Best Paper Award in Database Systems Honorable Mention in HCI Publications Azza mentors undergraduate capstone students and advises prospective PhDs, research assistants, and postdocs. She is actively involved in academic leadership, having chaired NYUAD’s faculty council in 2024 and co-chaired the SIGMOD 2025 program. Her work emphasizes empowering users to critically engage with data and AI, both in research and education.

Katharina Grafمشاهده پروفایل

پژوهشگر ارشد

• Cultural Anthropology
• Food Studies
• Gender Studies
• +۱۲ مورد دیگر

Dr. Katharina Graf is a Research Fellow at the Institute of Cultural Anthropology and European Ethnology, Faculty of Linguistics, Cultures and Arts, Goethe University Frankfurt. She leads the DFG-funded ethnographic research project Cyborg Cook – Domestic Cooking in the Digital Age , investigating how digital technologies transform domestic cooking practices, knowledge reproduction, and socio-political negotiations around gender, class, and race in German households. Previously, she was a Postdoctoral Research Fellow at the SOAS Food Studies Centre, University of London, where she conducted research on bread as a measure of urban stability in Morocco, funded by the AXA Research Fund. Her educational background includes a PhD in Social Anthropology from SOAS, University of London (2016), with fieldwork in Marrakech, and a Diplom in Geography from the universities of Tübingen, Bonn, and Cologne, focusing on water supply in rural Morocco. Katharina Graf’s research lies at the intersection of cultural anthropology, food studies, gender, urban life, and science and technology studies. She explores how everyday practices—especially cooking—reflect and shape broader social, political, and technological transformations. Her work emphasizes the entanglement of material culture, digitalization, and human agency, particularly in domestic spaces. She investigates how food serves as a lens for understanding political legitimacy, social change, and human-machine relations. Her recent publications and blog posts from the Cyborg Cook project reveal a strong trend toward understanding digital domesticity through ethnographic, sensory, and feminist lenses. Themes include the role of mothers as technological pioneers, the disruption of routines by smart devices, and the multisensory experience of digital cooking practices. Her earlier work on bread in Morocco highlights how food security and culinary practices are deeply tied to political stability and state-society relations. Postdoctoral Fellowship, AXA Research Fund Principal Investigator, DFG-funded 'Cyborg Cook' project Dr. Graf has supervised undergraduate and postgraduate students at SOAS and Goethe University. While no specific grants beyond DFG and AXA are named, her role as principal investigator indicates leadership in competitive research funding. She is actively involved in academic service, including as associate book reviews editor for the FoodAnthropology Blog (Society for the Anthropology of Food and Nutrition) and former co-convenor of the Anthropology of Food Network at EASA. She disseminates research through innovative public formats such as photo exhibitions, cookery classes, and comedy clubs, reflecting a commitment to engaged scholarship. She is affiliated with the Cyborg Cook research team at Goethe University, an interdisciplinary group using ethnographic methods to study digital kitchen technologies. The project emphasizes collaborative, sensory, and participatory research approaches, often involving co-creation with participants through shared meals and observational cooking sessions.

• Non-Destructive Evaluation
• Ultrasonic Testing and Imaging
• Eddy Current Testing
• +۹ مورد دیگر

Dr. Ehsan Mohseni is a Senior Lecturer in the Department of Electronics and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. He is a key member of the Centre of Ultrasound Engineering (CUE) research group and supports the Royal Academy of Engineering and Spirit AeroSystems research chair led by Professor Gareth Pierce. His work focuses on advancing robotic and intelligent Non-Destructive Evaluation (NDE) systems for industrial applications. B.Sc. in Materials Science and Metallurgical Engineering, University of Tehran, 2006 M.Sc. in Metal Forming Processes, University of Tehran Ph.D. in Automated Defect Detection using Electromagnetic NDE, École de Technologie Supérieure (ETS), Montreal, Canada Dr. Mohseni’s research is centered on NDE 4.0, integrating advanced sensing, multi-physics modeling, and machine learning. His expertise spans ultrasonic and eddy current testing, multi-sensor data fusion, and probability of detection studies. He focuses on applications in additive manufacturing, welding, composites, and metal processing, aiming to overcome current technological barriers in industrial inspection. The recent publications highlight a strong trend toward intelligent, automated, and robotic NDE systems. Key themes include self-supervised learning for ultrasonic segmentation, human-machine collaboration in data analysis, and advanced signal processing for weld and composite inspection. The integration of AI, flexible sensor arrays, and embedded navigation systems reflects a shift toward smart, adaptive inspection platforms aligned with Industry 4.0. Scientific Awards: The BINDT Annual Conference Award (2019) Dr. Mohseni is actively involved in research funding and knowledge transfer. He serves as Principal Investigator on KTP projects with ETHER NDE LIMITED and NATIONAL OILWELL VARCO UK LIMITED, focusing on in-process inspection for additive manufacturing and field calibration for ultrasonic testing. He contributes to large-scale collaborative projects funded by Innovate UK and industry partners, emphasizing practical deployment of NDE solutions. He also supervises research staff and collaborates with global aerospace firms including Pratt & Whitney Canada, Safran, and Bell Helicopter. He is a core member of the Centre of Ultrasound Engineering (CUE), a dynamic research group developing next-generation ultrasound technologies. The team works on advanced robotic sensing hubs, flexible transducer arrays, and AI-driven data interpretation tools, often in collaboration with the Royal Academy of Engineering research chair and industrial partners.

Michelle Borkinمشاهده پروفایل

استادیار

• Data Visualization
• Human-Computer Interaction
• Visual Analytics
• +۵ مورد دیگر

Michelle Borkin is an Assistant Professor in the Khoury College of Computer Sciences at Northeastern University’s Boston campus, where she co-leads the Visualization @ Khoury Lab and co-directs the Northeastern Visualization Consortium (NUVis). She additionally serves as Affiliated Faculty with the NULab for Text, Maps, and Networks and with the Information Design & Data Visualization Program in the College of Arts, Media, and Design. Education PhD, Applied Physics, Harvard University School of Engineering and Applied Sciences (2014) MS, Applied Physics, Harvard University BS, Astronomy & Astrophysics and Physics, Harvard University Research Interests Borkin’s research integrates data visualization and human-computer interaction to create novel techniques that enable discovery across disciplines. Her work spans: Multidimensional brushing-and-linking methodologies 3D data visualization and selection techniques Tree and network visualization Visualization evaluation methodologies and perception/cognition theory Accessibility and visualization for social good Medical and astrophysical visualization applications Publication Trends Across more than 50 peer-reviewed papers, Borkin’s research exhibits three dominant threads: (1) foundational studies on visualization perception and memorability, (2) design and evaluation of novel interactive tools for complex data (medical, astronomical, political, and social media), and (3) methodological contributions such as the Design Study “Lite” Methodology that accelerate visualization pedagogy and community-engaged research. Awards & Honors CHI 2020 Best Paper Award IEEE VIS 2020 Best Poster Honorable Mention IEEE VIS 2018 Best Poster Award NSF Graduate Research Fellowship NDSEG Graduate Fellowship TED Fellow Advising & Grants Borkin currently advises five PhD students—Jane Adams, Mackenzie Creamer, Franc O, Aditeya Pandey, and Laura South—and has previously mentored Michail Schwab and Uzma Haque Syeda. Her research has been supported by NSF, NDSEG, and TED fellowships, as well as internal Northeastern awards. Labs & Teams Co-Lead, Visualization @ Khoury Lab Co-Director & Co-Founder, Northeastern Visualization Consortium (NUVis) Affiliated Faculty, NULab for Text, Maps, and Networks Affiliated Faculty, Information Design & Data Visualization Program, CAMD

Jonathan Hershمشاهده پروفایل

دانشیار

• Economics of Information Systems
• Online Media Strategy and Online Piracy
• Digital Platform Strategy
• +۳ مورد دیگر

Jonathan Hersh is an Associate Professor at Chapman University's George L. Argyros College of Business and Economics, specializing in Economics and Management Science. His research bridges artificial intelligence, machine learning, and economics to address business, labor, and societal challenges through diverse data sources like satellite imagery and economic records. Education: University of Chicago (BA), University of Pennsylvania (MS), Boston University (PhD) Research focuses on AI's societal impact, including digital platform strategy, online piracy, and development economics. He has pioneered methods for poverty mapping using satellite data and war destruction analysis with AI. Recent publications explore AI skills gaps in financial institutions, API-driven economic growth, and satellite-based poverty estimation. His work has appeared in Management Science , MIS Quarterly , PNAS , and NeurIPS . Awards: BBVA Foundation Frontiers of Knowledge Award (2023) Previously worked as a data scientist for startups and the World Bank. Teaches AI, machine learning, and development economics to undergraduate and MBA students.

Shuting Wangمشاهده پروفایل

استادیار

• Big Data in Marketing
• Data Science/Analytics
• IT Strategy
• +۱۰ مورد دیگر

Shuting Wang is an Assistant Professor in the Paul H. Chook Department of Information Systems and Statistics at Baruch College's Zicklin School of Business. With a PhD in Management Information Systems from Temple University and prior degrees in Operations Management and Logistics Management, her research focuses on social media risks, fake news detection, and digital health platforms. PhD: Temple University (Management Information Systems) MSc: Shanghai University of Finance and Economics (Operations Management) BSc: Zhongnan University of Economics and Law (Logistics Management) Her expertise spans Big Data Marketing , Social Media Analytics , Technology Strategy , and Digital Health . Current research examines: Fake news mitigation through multimedia elements Telemedicine accessibility via SMS technology Social media's impact on business reputation FinTech startup success factors Psychological impacts of digital appearance Cybersecurity effects on startup funding Key Scientific Awards : Research Cluster Interdisciplinary Incentive Grants (2025) Eugene M. Lang Fellowship (2021) Presidential Fellowship at Temple University (2014) Full Tuition Scholarship at Shanghai University of Finance and Economics (2009) Active in teaching roles including Data Mining for Business Analytics and Database Management, she has received grants from the National Science Foundation and CUNY Central Office. Her work has been featured in outlets like NPR and Campaign US.

• Information Design
• Communication Design
• Typographic Design
• +۷ مورد دیگر

Maria dos Santos Lonsdale serves as Professor of Information and Communication Design at the University of Leeds School of Design, where she also directs PACE (Professional Academy for Creative Enterprise) and previously served as Head of School from 2020 until her current sabbatical through September 2026. With academic credentials including a PhD from the University of Reading (2006) and extensive teaching experience since 1997 across Portugal and the UK, she brings significant expertise to her roles. Her research demonstrates remarkable interdisciplinary breadth, spanning healthcare communication, cybersecurity awareness, educational technology, and sustainable fashion. Lonsdale employs rigorous user-centered methodologies including focus groups, co-design sessions, usability testing, and eye-tracking studies to validate design solutions that improve user performance and wellbeing. Her work consistently bridges theoretical research with practical applications across multiple sectors. Lonsdale holds influential editorial positions as Editor-in-Chief for Visible Language journal (starting January 2025) and former Editor-in-Chief (2020-2024) for the Information Design Journal. She actively contributes to the academic community as an Academic Advisor for Luto (a global health communications company) and as a reviewer for major publishers including Sage and Routledge. Senior Fellow of the Higher Education Academy (SFHEA) Member of the International Society of Typographic Designers (MISTD) Regular contributor to design research societies Her research output reveals consistent focus on making information accessible and usable across diverse contexts, from virtual learning environments to public health communications. Lonsdale's work demonstrates how thoughtful application of design principles can solve complex real-world problems while enhancing user experience and information comprehension.

Elizabeth Johnsonمشاهده پروفایل

استاد

• Language Acquisition
• Speech Perception
• Cognitive Development
• +۳ مورد دیگر

Dr. Elizabeth Johnson serves as Professor of Psychology at the University of Toronto Mississauga (UTM), holding the Canada Research Chair in Spoken Language Acquisition. She is cross-appointed to the Graduate Department of Linguistics and directs the University of Toronto's Tri-Campus Graduate Program in Psychology, leading interdisciplinary research on language acquisition through the Child Language and Speech Studies (CLASS) Lab in UTM's Communication, Culture and Technology Building. Her academic foundation includes a B.A. in Brain and Cognitive Sciences from the University of Rochester (with a Take Five program in Developmental Biology & Evolution), followed by M.A. and Ph.D. degrees in Psychological & Brain Sciences from Johns Hopkins University. She completed postdoctoral training at the Max Planck Institute for Psycholinguistics and spent semesters at MIT's Speech Group during her doctoral studies. Dr. Johnson's research examines how perceptual, cognitive, and social mechanisms enable children's rapid language mastery, with emphasis on speech perception, multilingual development, accent processing, and infant speech segmentation. Her work bridges developmental psychology, linguistics, and speech sciences to investigate topics including audio-visual speech perception, word-learning heuristics, prosody acquisition, and voice recognition—all contextualized within UTM's linguistically diverse community. Analysis of her recent publications reveals intensifying focus on real-world applications of language acquisition research, particularly voice assistant technology for children, pandemic impacts on language development, and sociolinguistic factors in educational settings. Her work increasingly explores accent variation effects across development and the cognitive mechanisms underlying talker recognition. Dr. Johnson's scientific recognition includes: Canada Research Chair in Spoken Language Acquisition She actively mentors graduate researchers: PhD Students: Emily Shroads (June and David Scott Fellowship recipient) Recent PhD Graduates: Priscilla Fung (SSHRC Postdoctoral Fellow), Madeleine Yu Undergraduate Support: NSERC USRA (Christopher Khalaf), SSHRC UTEA (Gabriella Di Maio, Alexandra Maracz) Research Funding: SSHRC Insight Grants, NSERC Discovery Grants The CLASS Lab functions as an interdisciplinary hub collaborating with UTM's Developmental Science Cluster, Centre for Biological Communication Systems, and Infant and Child Studies Centre. Its community-engaged research leverages linguistic diversity in the Greater Toronto Area to translate foundational science into practical applications for child development and educational technology.

Martin Salzmann-Eriksonمشاهده پروفایل

دانشیار

• Nursing Science
• Psychiatric Nursing
• Digital Health
• +۵ مورد دیگر

Martin Salzmann-Erikson is an Associate Professor in Nursing Science at the University of Gävle, specializing in Caring Science. With extensive clinical experience in psychiatric intensive care, he has developed innovative models for staff-patient interactions and advanced courses like "Integrative Nursing in Psychiatric Care" and "Concept Analysis." His work bridges clinical practice, education, and research, focusing on the complexities of human interaction through chaos theory and digital transformation. Current research in the "Digital Shapeshifting" program addresses critical challenges in healthcare digitization, including reducing digital exclusion, ensuring inclusive care environments, and safeguarding nursing quality. Projects span interprofessional communication, digital inclusion for homeless women, and the ethical implications of AI in mental health. His methodological expertise includes netnography, autoethnography, and complexity science. Key article trends highlight intersections of technology and empathy, with recurring themes in psychiatric care, technostress, and digital equity. His 2023–2025 publications emphasize ethical AI integration, footwear symbolism in healthcare teams, and socio-technical approaches to continuous learning. Supervision roles include doctoral projects on intellectual disabilities, cyber nursing, and violence in intensive care. Supervised: Ingela Rudberg (Interprofessional Communication), Oskar Andersson (Staff Participation Promotion), Fredric Sjöberg (Violence Management, KI) Education: Courses on Integrative Nursing & Concept Analysis Affiliations: Strategic Research Area Health-Promoting Work, University of Gävle

Yan Tina Luximonمشاهده پروفایل

استاد

• Ergonomic design
• Anthropometry
• 3D digital human modeling
• +۶ مورد دیگر

Prof. Yan Tina Luximon is a Full Professor and Associate Dean (Research) at the School of Design, The Hong Kong Polytechnic University. She chairs the School Research Committee, leads the Asian Ergonomics Design Lab, and serves as Deputy Discipline Leader for BA (Product Design). Her work bridges ergonomics, AI design tools, and 3D human modeling in cross-cultural contexts. Education: PhD in Ergonomics from The Hong Kong University of Science and Technology Research interests span Ergonomics in product design 3D digital human modeling for AI applications Anthropometry and cultural design differences Statistical modeling for head/face product development Human-computer interaction and AI visualization Recent publications focus on AI-enhanced 3D head modeling, ergonomic healthtech products, and cross-cultural design psychology, with applications in robotics, mobile technology, and medical devices. Scientific awards include: Gold Medal with jury congratulations at Geneva Inventions 2024 Silver Award at IDEA 2023 for adaptive eyewear design Best Innovation Award at ACED Japan 2017 She supervises postgraduate research and leads projects funded by the General Research Fund (RGC GRF) and Laboratory for AI in Design, including AI Powered Ergonomic Product Design (2025) and 4D Head Movement Prediction (2024).

• Sensor Networks
• Pervasive Computing
• Middleware
• +۵ مورد دیگر

Sanem Kabadayı is an Assistant Professor at the Department of Computer Engineering, Istanbul Technical University. Her research focuses on sensor networks, middleware frameworks, and pervasive computing. Research Interests Sensor Networks (Wireless, Ad-hoc, Heterogeneous) Pervasive and Ubiquitous Computing Middleware Design for Smart Environments Data Abstraction and Communication Paradigms Advisory Role Advisor for Yakup Kayatas' thesis on AI-assisted IoT agents for smart spaces (2025). Recent Research Trends Her 15 most recent publications (2006–2024) emphasize sensor network architectures, middleware innovations for programmable environments, and abstractions for heterogeneous sensor integration. Key themes include AI-driven IoT agents, positioning techniques in wireless networks, and virtual sensor frameworks.

• Ergonomics
• Human-Machine Systems
• Industrial Engineering
• +۴ مورد دیگر

Alexander Mertens serves as Associate Professor and Department Head of the Institute of Industrial Engineering within RWTH Aachen University's Faculty of Mechanical Engineering, concurrently leading the Ergonomics and Human-Machine Systems group. His dual doctorates (Dr.-Ing. and Dr. rer. medic.) underpin his interdisciplinary approach bridging engineering and medical sciences. His research centers on human-centered technology integration , with core interests in Ergonomics , Human-Machine Systems , and Virtual Reality applications . He investigates physiological workload monitoring, human-robot collaboration, and inclusive workplace design—particularly through AR/VR systems and sensor-based interventions for manufacturing and healthcare contexts. His work emphasizes translating biomechanical and psychosocial insights into practical solutions for worker safety and performance. Analysis of his 2024-2025 publications reveals three dominant trends: human-robot collaboration in manufacturing (evident in VR-based robot assistance studies), physiological workload assessment (using pupillometry and multimodal signals), and workplace health innovation (addressing interruptions, musculoskeletal disorders, and aging populations). These threads consistently prioritize human factors in digital transformation across automotive, healthcare, and industrial domains. Prof. Mertens directs the Ergonomics and Human-Machine Systems laboratory, driving initiatives like AixistenzRobotik (Aachen Competence Center for Interactive Robotics in Health/Care) and workHEALTH (holistic prevention of work-related musculoskeletal disorders). His team develops adaptive interfaces for inclusive factories and evaluates digital escape signage through age-differentiated studies, maintaining strong industry partnerships for real-world implementation.