جست‌وجوی استاد و پژوهشگر

• Maritime safety management and leadership
• Maritime accident and casualty analysis
• Maritime Autonomous Surface Ships (MASS)
• +۳ مورد دیگر

Tae Eun Kim is an Associate Professor in Maritime Safety Management at UiT The Arctic University of Norway, working within the Department of Technology and Security. Her research, teaching, and industrial collaboration focus on maritime safety and human factors, with particular expertise in maritime safety management, accident analysis, Maritime Autonomous Surface Ships (MASS), and human factors in maritime operations. Dr. Kim's research spans four interconnected domains: maritime safety management and leadership, maritime accident and casualty analysis, Maritime Autonomous Surface Ships (MASS), and human factors in maritime operations. She has developed assessment instruments like the Safety Leadership Self-Efficacy Scale (SLSES) and conducted STAMP-based causal analyses of maritime accidents. Her work on MASS addresses safety challenges in mixed navigational environments and examines leadership competencies for autonomous shipping operations. Her human factors research explores how technological advancements impact navigators' performance, crew dynamics, and safety outcomes, including gender parity issues in the maritime industry. Dr. Kim's publication record reveals a strong focus on the intersection of maritime safety, technology, and human performance. Her recent work increasingly addresses autonomous shipping technologies, with numerous publications on AI decision transparency, learning analytics in maritime simulator training, and multi-modal data analysis for nautical skill development. She has conducted systematic reviews on simulator training approaches and scenario design, contributing significantly to methodology development in maritime education and training. Her research demonstrates a clear trajectory toward integrating emerging technologies with traditional maritime safety practices as the industry transitions toward greater automation. Dr. Kim is actively involved in several significant research projects, including the i-MASTER EU Horizon Europe Research and Innovation Project, the REFRAME project, and the SPRICE project (Multidisciplinary approach for spray icing modelling). She is a member of both the Advanced Maritime Ship Operations research group and the Maritime Safety Science (MARSCI) Research Group, demonstrating her commitment to collaborative research in maritime safety science. Dr. Kim teaches several specialized courses at UiT, including SVF-3206 Safety Management and Accident Investigation, TEK-3014 Navigation Technology, MFA-2100 Maritime Digitalization, MFA-8010 Maritime HTO (Human-Technology-Organisation) and Innovation, and MFA-2018 Maritime Administration and Leadership. Her teaching portfolio reflects the interdisciplinary nature of her expertise, bridging engineering, safety science, and organizational behavior in maritime contexts.

Paul Leonardمشاهده پروفایل

دانشیار

• Biomolecular Interaction Analysis
• Single-Cell Analysis
• Biologics Discovery
• +۶ مورد دیگر

Assoc. Prof. Paul Leonard is an Associate Professor in Biotherapeutics at Dublin City University (DCU), leading the Biomedical Innovation Group (BIG) within the School of Biotechnology. His research focuses on biomolecular interaction analysis, single-cell technologies, and biologics discovery, addressing challenges in oncology, cardiovascular disease, and infectious disease diagnostics. He has 20+ years of academic and industry experience, co-founding Remedy Biologics Ltd and securing over €15M in funding. His entrepreneurial roles include CSO/CTO, Lean Six Sigma process improvements, and advisory work for life sciences companies. Research interests span high-throughput antibody discovery, immunoassay development, and environmental sensing. He collaborates with academia and industry, including projects like AquaBioSens for aquatic pollutant detection. His lab employs multidisciplinary teams and holds patents in biotechnology. Paul also serves as an external examiner for Technical University Dublin’s Biomedical Diagnostics program. Key achievements include technology spin-outs, patent filings, and leadership in EU-funded projects. His work bridges academic innovation with commercial applications, emphasizing rapid diagnostic tools and therapeutic advancements.

• Artificial Intelligence in Education
• Digital Transformation in Education
• Educational Technologies
• +۳ مورد دیگر

Sabine Seufert is a Full Professor of Management of Educational Innovations at the University of St. Gallen (HSG), where she has held leadership roles including Director of the Institute of Educational Management and Educational Technologies (since 2021) and Director of the Institute of Business Education and Educational Management (2009–2020). She holds a PhD in Information Management (1996) and a Habilitation in Business Education (2006) from the University of St. Gallen, specializing in educational innovation and technology integration. Her research focuses on digital transformation in education, AI applications in learning environments, and competence development in vocational training. She has pioneered initiatives like the Swiss Centre for Innovations in Learning (scil) and contributed to frameworks for hybrid intelligence in education. Her work bridges academic research and practical implementation, emphasizing ethical AI use and teacher preparedness for technological change. Key affiliations include the European Foundation for Management Development (EFMD), the editorial board of the International Journal of Learning Technology , and advisory roles for journals like Empirical Research in Vocational Education and Training . Her recent publications explore AI literacy, social robots in classrooms, and the impact of generative AI on teaching and learning. Her career spans over 25 years, including guest professorships at the University of Southern Queensland and Stanford University, leadership in educational institutions, and policy advisory roles. She is actively involved in shaping future-ready education systems through digital innovation and human-AI collaboration strategies.

Stacey F. Bentمشاهده پروفایل

استاد

• Surface and Interfacial Chemistry
• Atomic Layer Deposition
• Materials Synthesis
• +۷ مورد دیگر

Stacey F. Bent is the Jagdeep and Roshni Singh Professor in the School of Engineering at Stanford University, where she serves as Professor of Chemical Engineering with courtesy appointments in Chemistry, Electrical Engineering, and Materials Science and Engineering. She also holds the position of Vice Provost for Graduate Education and Postdoctoral Affairs and is a Senior Fellow at the Precourt Institute for Energy. Her academic journey began with a B.S. in Chemical Engineering from UC Berkeley (1987) followed by a Ph.D. in Chemistry from Stanford University (1992), after which she completed postdoctoral work at AT&T Bell Laboratories and served as an assistant professor at New York University before joining Stanford in 1998. Dr. Bent's research focuses on understanding and controlling surface and interfacial chemistry with applications in semiconductor processing, micro- and nanoelectronics, nanotechnology, and sustainable energy. Her group employs molecular-level approaches to study semiconductor surface functionalization, atomic layer deposition mechanisms, nanoscale light absorption materials, photovoltaic interface engineering, and catalyst/electrocatalyst deposition. Her lab maintains extensive facilities including over ten ALD/MLD reactors, ultra-high vacuum chambers with in situ XPS capabilities, and various characterization tools for materials analysis. Her recent publications reveal strong focus areas in atomic layer deposition techniques, battery interface engineering, catalyst design for syngas conversion, and nanoscale patterning technologies. The research spans fundamental surface science to practical energy applications, with particular emphasis on developing precise materials synthesis methods for advanced electronic and energy systems. Among her numerous accolades are election to the National Academy of Engineering (2020), the ACS Award in Surface Chemistry (2018), and the ALD Innovator Award (2021). She has also received multiple teaching awards including the Tau Beta Pi Award for Excellence in Undergraduate Teaching (2006) and the Stanford Medal for Faculty Excellence Fostering Undergraduate Research (2013). Braskem Award for Excellence in Materials Engineering and Science (AIChE) (2021) ALD (Atomic Layer Deposition) Innovator Award (2021) National Academy of Engineering (2020) ACS Award in Surface Chemistry (2018) Fellow of the American Chemical Society (2013) AVS Fellow (2006) Dr. Bent has mentored over 70 graduate students and postdocs who have gone on to successful careers in academia, industry, and government. Her research group maintains strong collaborations with national laboratories and industry partners, particularly in semiconductor manufacturing and energy technologies. She previously served as Director of the TomKat Center for Sustainable Energy for 10 years and as co-Director of the Center on Nanostructuring for Efficient Energy Conversion (CNEEC), a DOE Energy Frontier Research Center. The Bent Research Group operates state-of-the-art facilities including multiple ALD/MLD reactors capable of depositing over 30 materials, in situ characterization tools, and access to Stanford's shared equipment facilities for advanced materials analysis. The group's international composition (with members from over 10 countries) reflects its global impact in surface science and materials engineering.

Marius Portmannمشاهده پروفایل

استاد

• Cybersecurity
• Computer Networks
• Internet of Things (IoT)
• +۳ مورد دیگر

Professor Marius Portmann is the UQ-Cisco Chair of Network Security at the School of Electrical Engineering and Computer Science (EECS), University of Queensland. His expertise spans Cybersecurity, IoT, and Applied AI. He holds a PhD from ETH Zurich (2003) and has led research in Software Defined Networking (SDN), blockchain, and energy-harvesting IoT systems. Education: PhD in Electrical Engineering from Swiss Federal Institute of Technology (ETH Zurich), 2003. Research focuses on securing IoT networks, AI-driven intrusion detection, and sustainable sensor systems. He has pioneered self-powered IoT systems using energy harvesters and developed frameworks like FlowTransformer for network analysis. His work bridges theoretical advancements with practical applications in smart tourism, energy efficiency, and edge computing. Recent publications highlight innovations in DDoS detection (P4-Secure), sensor-based environmental monitoring (EcoShower), and graph-based anomaly detection (XG-BoT). His datasets (e.g., NF-ToN-IoT-v3) are widely used in ML-based cybersecurity research. Collaborations include industry partners like Cisco and institutions like RMIT. Grants and leadership roles in interdisciplinary projects underscore his impact. He advises on IoT security standards and contributes to open-source tools for network research. Current projects explore edge-AI integration and sustainable sensor networks.

• Indoor Environmental Quality (IEQ)
• Thermal Comfort
• Building Science
• +۴ مورد دیگر

Dr. Thomas Parkinson is a Lecturer at The University of Sydney and Deputy Director of the IEQ Lab within the School of Architecture, Design and Planning. His research focuses on high-performance buildings, indoor environmental quality (IEQ), and human thermal physiology. He holds a PhD in Architectural Science from The University of Sydney and has led technical development of the SAMBA IEQ Monitoring System. He previously worked at the Center for the Built Environment at UC Berkeley. Education: BEnvMgt, BSc(Hons1), PhD in Architectural Science (University of Sydney). Research interests include thermal comfort dynamics, sensor technology for built environments, and adaptive comfort models. Key contributions include the ASHRAE Global Thermal Comfort Database II and studies on workplace dissatisfaction in 600 office buildings. Awards: 2022 Ralph G. Nevins Award (ASHRAE) for thermal comfort research, 2018 Best Paper Award (Building and Environment). He reviews for journals like Building and Environment and serves on ASHRAE Technical Committees. Teaching: Courses include BADP1001 Empirical Thinking and DESC9067 Mechanical Services. Current advisee: Sepideh Borghei (PhD project on indoor greenery's impact). Affiliations: Lawrence Berkeley National Laboratory, UC Berkeley's Center for the Built Environment. Active in ASHRAE committees and professional networks.

• Data Science
• Bioinformatics
• Open Science
• +۴ مورد دیگر

Philippe Rocca-Serra is a Researcher at the Oxford e-Research Centre (OeRC), University of Oxford, and an Associate Member of the Engineering Science Department. Affiliated with Kellogg College, his work focuses on advancing open science through FAIR data principles, interoperable metadata standards, and translational biomedical data systems. He holds a DPhil in Molecular Genetics from the University of Bordeaux, supported by an EMBO Fellowship, and has contributed to major initiatives like the ISA-Tab format, the FAIR Cookbook, and the Translational Data Catalog. His research spans data standards for omics technologies, semantic validation frameworks (e.g., BioValidator), and infrastructure for reproducible research. Key contributions include the ISA API platform, metabolomics standards (nmrML, mzTab-M), and FAIRification frameworks. He actively collaborates with global initiatives such as ELIXIR, the Common Fund, and the Precision Toxicology Initiative. Rocca-Serra’s work emphasizes bridging data producers and consumers through machine-actionable metadata, fostering interdisciplinary research and policy compliance. He leads projects on clinical trial metadata profiling and has published extensively on data governance, computational workflows, and the role of FAIR principles in drug discovery and pandemic preparedness. Education: Ecole Nationale Supérieure d'Agronomie de Rennes (Diplôme d'Ingénieur), University of Bordeaux (PhD, Molecular Genetics) Key Roles: Group Coordinator at OeRC, Co-Investigator on international grants Tools Developed: ISAcreator, COPO, FAIR Cookbook, Data Tags Suite (DATS) Awards: EMBO Fellowship (2001) Labs/Teams: Oxford Data Readiness Initiative, FAIR Implementation Network

Yan Songمشاهده پروفایل

استاد

• Urban Planning
• Land Use Planning
• Environmental Planning
• +۳ مورد دیگر

Dr. Yan Song is a Professor and Director of the Program on Chinese Cities (PCC) at the University of North Carolina at Chapel Hill's Department of City and Regional Planning. She specializes in land use and environmental planning, focusing on low-carbon urban development, spatial analysis of urban form, and China’s urbanization policies. Her work integrates GIS and computer-aided tools to assess urban growth and sustainability challenges. Her research examines domestic and international issues including urbanization drivers, green city development tools, land and housing market dynamics, and urban-transportation integration. Dr. Song leads the PCC, which investigates China’s urbanization impacts on environments and seeks equitable, sustainable growth strategies. Her projects are funded by NSF, EPA, HUD, and the Lincoln Institute of Land Policy. Research highlights include studies on rural-urban spatial restructuring, policy spillover effects, and energy transition mechanisms. She has consulted for Shenzhen’s city government and Beijing’s urban planning institutions. Dr. Song’s interdisciplinary approach bridges planning, environmental science, and policy, addressing global challenges like climate resilience and digital finance’s role in green development. Her advising focuses on PhD students interested in Chinese urban issues, and she holds affiliate roles at the National Center for Smart Growth and Lincoln Institute. Recent work emphasizes the 5R urban retrofitting framework, equity in heat mitigation, and the interplay between technology adoption and environmental governance.

Kenneth Edwin Barkerمشاهده پروفایل

استاد

• Privacy Preserving Data Repositories
• Database Management Systems
• Data Privacy and Security
• +۴ مورد دیگر

Dr. Kenneth Edwin Barker is a Professor in the Department of Computer Science within the Faculty of Science at the University of Calgary, where he also serves as Director of the Institute for Security, Privacy and Information Assurance (ISPIA). His academic career spans several decades with significant contributions to database systems and privacy research. Dr. Barker earned his B.S. and M.S. in Computer Science from the University of Calgary in 1982 and 1984 respectively, followed by a Ph.D. in Computer Science from the University of Alberta in 1990. His educational background established the foundation for his extensive research career in database systems and information security. His primary research interests focus on Privacy Preserving Data Repositories , with specific attention to protecting privacy in mobile applications, understanding privacy's impact on data analytics, and architecting database management systems that inherently respect user privacy. His work also extends to distributed database environments, integration of legacy systems, and multidatabase environments. Dr. Barker's research bridges theoretical foundations with practical applications, making significant contributions to how privacy is implemented in real-world systems. An analysis of his recent publications reveals a strong trend toward practical privacy-preserving techniques for cloud data, social networks, and location-based services. His work consistently addresses the tension between data utility and privacy protection, developing innovative methods to maintain data value while safeguarding personal information. The publications span multiple subfields including encrypted search, graph privacy, high-dimensional data privacy, and privacy metrics. Best Paper Award at DBSec 2012 Best Paper Award at CODASPY 2012 Best Paper at BNCOD 2009 Dr. Barker has been instrumental in establishing privacy research infrastructure at the University of Calgary through his leadership of ISPIA. His research has attracted significant funding from various sources supporting privacy and security initiatives. While specific grant details aren't provided in the text, his extensive publication record indicates sustained research funding throughout his career. He has collaborated extensively with researchers both within and outside the University of Calgary, particularly with R. Alhajj and other colleagues on numerous projects. As Director of ISPIA, Dr. Barker oversees a research environment focused on advancing security and privacy technologies. The institute serves as a hub for interdisciplinary research, bringing together computer scientists, social scientists, and legal experts to address complex privacy challenges. His leadership has positioned the University of Calgary as a significant player in privacy research within Canada.

Scott Fraundorfمشاهده پروفایل

دانشیار

• Psycholinguistics
• Memory
• Cognitive Aging
• +۸ مورد دیگر

Scott Fraundorf is an Associate Professor in the Department of Psychology at the University of Pittsburgh, affiliated with The Dietrich School of Arts & Sciences and the MAPLE Lab at the Learning Research and Development Center (LRDC). His research focuses on psycholinguistics, memory systems, cognitive aging, metacognition, and educational technology. He holds a Ph.D. from the University of Illinois at Urbana-Champaign and has been recognized with an NSF Graduate Research Fellowship (2007-2011) and inclusion in the List of Teachers Ranked as Excellent by Students ("Outstanding"). Key research themes include the role of prosody and disfluency in language processing, cognitive aging effects on memory, and the application of statistical modeling to study decision-making and learning strategies. His work bridges experimental psychology with real-world educational interventions, such as adaptive grammar instruction tools and investigations into digital literacy practices among adolescents. Recent publications emphasize cognitive mechanisms underlying expertise retention in medical professionals and the impact of exercise on memory preservation in older adults. He collaborates on projects analyzing how contrastive linguistic cues (e.g., pitch accent, beat gestures) influence online discourse comprehension and long-term memory encoding. Labs/Teams: MAPLE Lab (Memory, Attention, Processing, Learning, Education) Grants: NSF Graduate Research Fellowship Advising: Advises graduate student Jessica Macaluso

Tianyu Guanمشاهده پروفایل

استادیار

• Sports Analytics
• Machine Learning
• Functional Data Analysis
• +۶ مورد دیگر

Tianyu Guan is an Assistant Professor in the Department of Mathematics and Statistics at York University, Faculty of Science. He previously served as an Assistant Professor at Brock University and joined York University in 2024. He holds a PhD in Statistics from Simon Fraser University (2020), an MSc in Actuarial Science from the same institution (2014), and a BSc in Statistics from Jilin University (2011). PhD in Statistics, Simon Fraser University, 2020 MSc in Actuarial Science, Simon Fraser University, 2014 BSc in Statistics, Jilin University, 2011 His research centers on sports analytics, functional data analysis, and nonparametric statistics, with strong applications in machine learning and data science. He applies statistical methodologies to understand sports performance, player behavior, and game dynamics. His work also extends to theoretical developments in sparse modeling and functional regression. The recent publications highlight a clear trend toward integrating advanced statistical techniques with real-world sports and entertainment data. His work combines functional data analysis, machine learning, and probabilistic modeling to extract insights from complex longitudinal and high-dimensional datasets. Topics span soccer, rugby, football, and movie reviews, demonstrating interdisciplinary reach. While no formal scientific awards are listed in the provided text, his publications in high-impact journals such as Annals of Applied Statistics and Statistics and Computing reflect strong academic recognition. Tianyu Guan actively advises multiple graduate students at both MSc and PhD levels, primarily at Brock and Simon Fraser Universities. His teaching portfolio includes advanced courses in nonparametric statistics, sampling theory, and experimental design at the undergraduate and graduate levels. He has not received external grant information in the provided text, but his research output suggests active engagement in funded or independent research projects. He leads methodological and applied research in sports analytics, often co-supervising students with colleagues across institutions. His lab or research group appears focused on developing and applying statistical tools for performance analysis and decision-making in sports, supported by computational implementations such as the R package ngr .

• Artificial Intelligence
• Machine Learning
• Data Integration
• +۳ مورد دیگر

Prof. Geert-Jan P.M. Houben is a Professor at Delft University of Technology's Web Information Systems Department within the Faculty of Electrical Engineering, Mathematics and Computer Science. His research focuses on AI ethics, machine learning, data integration, and decision support systems. He has published over 165 works and supervised 24 students. Notable contributions include frameworks for meaningful human control in AI systems and methodologies for bias mitigation in data-driven systems. Editorial roles: Editor for CEUR-WS, Springer, and other publishers since 2012 Awards: Royal Honours from TU Delft (2025) Research emphasizes ethical AI, data engineering, and scalable systems. Recent work addresses AI governance, bias in analytics, and interactive data discovery in modern data ecosystems. He actively contributes to conferences like ACM Web Science and VLDB.

Tak-Wah Lamمشاهده پروفایل

استاد

• Algorithms
• Bioinformatics
• Big Data Analytics
• +۳ مورد دیگر

Professor Tak-Wah Lam is a leading academic at the University of Hong Kong (HKU), serving as Deputy Director of the School of Computing & Data Science and former Head of the Computer Science Department (2018–2023). He joined HKU in 1988 after earning his PhD in Computer Science from the University of Washington. His research spans algorithm design, bioinformatics, and big data analytics, with a focus on applications in health informatics and genomics. He has published over 200 articles, including influential work on bioinformatics software like MEGAHIT and Clair3. He is a Charivate Highly Cited Researcher (2017) and has received multiple grants, including ITF-funded projects totaling over HKD 33 million for research in genomic databases, AI-driven RegTech, and bioinformatics solutions for clinical genetics. Education: BSc from The Chinese University of Hong Kong (CUHK), MS and PhD from the University of Washington. Research interests include algorithms, bioinformatics, and big data analytics. His work bridges theoretical computer science with practical applications in healthcare, such as developing tools for variant calling, genome assembly, and disease risk prediction. He co-founded a startup in 2014 to advance bioinformatics software for clinical DNA sequencing. Key grants include: ITF Tier-2 Project (2021–2023): HKD 7 million for automated karyotype analysis ITF Tier-2 Project (2019–2021): HKD 5 million for AI-driven RegTech ITF Tier-2 Project (2015–2020): HKD 7.6 million for precision medicine genomic databases He is also recognized for teaching excellence, having received awards from HKU's Faculty of Engineering and the Department of Computer Science.

Siladitya Bhattacharyaمشاهده پروفایل

استاد

• Reproductive Medicine
• Infertility
• Assisted Reproductive Technology (ART)
• +۱۴ مورد دیگر

Professor Siladitya Bhattacharya is Vice-Principal (Global Engagement) at the University of Aberdeen , affiliated with the School of Medicine, Medical Sciences and Nutrition . A leading figure in reproductive medicine, he combines clinical expertise with extensive research in infertility, epidemiology, and health services. MD in Obstetrics and Gynaecology (University of Aberdeen, 1997) FRCOG and MRCOG (Royal College of Obstetricians and Gynaecologists) Subspecialty Accreditation in Reproductive Medicine (1999) His research focuses on reproductive health epidemiology , infertility outcomes , clinical and cost-effectiveness of interventions , and systematic reviews . He leads major randomized trials and health technology assessments in endometriosis, IVF strategies, and male hypogonadism. His work integrates epidemiological methods with real-world clinical data to inform policy and practice. Recent publications highlight trends in endometriosis management , embryo transfer strategies , testosterone therapy , and core outcome set development for infertility research. His articles span high-impact journals like The Lancet , BMJ , Human Reproduction , and Cochrane Database , reflecting a strong emphasis on evidence-based medicine and meta-analytic approaches. His scientific honors include the MRCOG Prize Medal, ESHRE Established Clinician Award, and multiple Wellcome and NIHR awards. He has held key editorial roles as Editor-in-Chief of Human Reproduction Open and Editor for Cochrane Gynaecology and Fertility . Prof. Bhattacharya supervises PhD students and leads the International Network for Research in Reproductive Medicine (INREM) . He has secured substantial funding from NIHR, MRC, CSO, and Wellcome Trust for projects on endometriosis, IVF, and male infertility. His advisory roles include NHS boards, FIGO, RCOG, and international research consortia. He leads global collaborations across the UK, USA, India, Australia, and Europe, advancing research in reproductive health through multi-centre trials and consensus development.

Zhu-Tian Chenمشاهده پروفایل

استادیار

• Data Visualization
• Human-Computer Interaction
• Augmented Reality
• +۷ مورد دیگر

Zhu-Tian Chen is an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities, where he leads research in data visualization, human-computer interaction, and augmented reality. Prior to this, he held postdoctoral positions at Harvard University and UC San Diego, working with leading researchers in visual computing and interactive design. Ph.D. in Computer Science, Hong Kong University of Science and Technology B.Eng. in Software Engineering, South China University of Technology His research focuses on augmenting human intelligence through hybrid human-AI systems, particularly in everyday and outdoor environments. He specializes in designing intelligent AR interfaces, embedded visualizations, and language-oriented interactions for applications in sports analytics, education, and data analysis. His work integrates human-centered design with applied machine learning to create intuitive and effective visualization tools. The recent trend in his publications shows a strong emphasis on intelligent AR systems for dynamic scenes, LLM-based code generation interfaces, and real-time augmentation of sports videos using natural language and gaze-based interactions. His work frequently appears in top-tier venues such as IEEE VIS, ACM CHI, and UIST. Best Paper Award, ACM CHI'23 Best Short Paper Honorable Mention, EuroVis'23 Best Paper Honorable Mention, IEEE VIS'22 (twice) Certificate of Distinction and Excellence in Teaching, Harvard University Hong Kong Ph.D. Fellowship Dr. Chen actively mentors undergraduate, master’s, and PhD students, as well as visiting scholars and interns, and is building a new research lab focused on visualization for intelligent AR systems. He has served on program committees for major conferences including ACM CHI, IEEE VIS, and EuroVis, and has been invited to speak at institutions such as Apple, JP Morgan, and multiple universities worldwide. He also contributes to the academic community through grant reviewing for NSF and the Department of Energy. He leads research projects in intelligent AR systems for sports, language-oriented interactions with LLMs, and immersive data visualization, often in collaboration with institutions like Harvard, UC San Diego, and HKUST. His lab welcomes students and collaborators interested in visualization, HCI, and applied AI.