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Margunn AanestadView profile

Professor

• Digital Transformation
• e-Health
• Information Systems
• +6 more

Margunn Aanestad is a Professor in Digital Innovation at the Department of Informatics (IFI), Faculty of Mathematics and Natural Sciences, University of Oslo (UiO). With 25 years of research experience focused on healthcare digitalization, she examines how digital technologies transform organizations and societies at multiple analytical levels. Her work spans healthcare information systems, digital innovation, and information infrastructures across the Nordic region and internationally. Her research interests center on understanding digital transformation through a sociotechnical lens, particularly examining how work practices evolve when based on digital monitoring rather than physical visits, how organizations become 'data-driven' through advanced analytics, and how sector-level ecosystems require new technical and regulatory solutions for data sharing. She investigates information infrastructures as interconnected systems rather than isolated technologies, working at the intersection of Information Systems (IS), Computer Supported Cooperative Work (CSCW), Science and Technology Studies (STS), and organizational theory. Her empirical work primarily focuses on healthcare digitalization, including patient records, collaboration solutions, patient portals, digital home monitoring, and emerging AI applications for personalized medicine. Professor Aanestad leads research within the Digital Innovation (DIN) group at UiO and has been involved in significant projects including KINT (From local breakthroughs in knowledge to integration into medical practice) and CORPUS (New competence requirements in the public sector: The consequences of digitalization for work with different degrees of specialization). She previously held a Professor II position at the University of Agder (2019-2022) and maintains active collaborations with NTNU, BI Norwegian Business School, Diakonhjemmet Hospital, and Copenhagen Business School. Her publication record demonstrates consistent high-impact contributions across information systems, healthcare innovation, and digital governance. Recent work explores critical perspectives on digital solutionism, data governance spaces for personal health information, and the sociotechnical dimensions of implementing data infrastructure in public sectors. She examines how digital technologies create both opportunities for innovation and complex challenges related to governance, inclusion, and sustainability. Professor Aanestad's educational background includes engineering degrees in medical technology (1992) and technical sciences (1994) from Stavanger University College. Before joining UiO as a PhD student in 1998, she worked as a department engineer at Rikshospitalet and as a senior engineer at Telenor. Her career trajectory reflects deep engagement with both technical implementation and theoretical understanding of digital transformation processes.

Hanne Solveig DagfinrudView profile

Researcher

• Rheumatology
• Physical Activity
• Cardiovascular Health
• +3 more

Hanne Solveig Dagfinrud is a Senior Researcher affiliated with the Department of Public Health Sciences and Interdisciplinary Health Sciences at the University of Oslo and the Department of Rheumatology at Diakonhjemmet Hospital. She holds a Dr. philos (PhD equivalent) awarded by the University of Oslo in 2005. Her academic background includes extensive clinical experience as a physiotherapist specializing in manual therapy and sports physiotherapy, alongside expertise in rehabilitation and musculoskeletal health. Her research focuses on rheumatology, particularly the interplay between physical activity, cardiovascular health, and inflammatory joint diseases. She investigates physiotherapy interventions in primary care settings, emphasizing exercise-based therapies for conditions like axial spondyloarthritis and osteoarthritis. Notable projects include the ExeHeart trial evaluating high-intensity exercise for inflammatory arthritis patients and studies on patient-reported outcomes in rehabilitation. Dr. Dagfinrud teaches courses such as FysioPrim HELSEF4302 (Analysis Course, quantitative part) and HELSEF4402 (Function and Functional Assessment). Her work integrates clinical practice with research, addressing gaps in healthcare delivery through quality improvement initiatives and patient engagement strategies. She contributes to interdisciplinary teams like the BODYFUNC research group, exploring body function and disability in chronic diseases.

Jon ShonkView profile

Research Fellow

• Meteorology
• Climatology
• Atmospheric Science
• +5 more

Dr. Jon Shonk is a Senior Scientist in Urban-scale Modelling Research at the MetOffice@Reading, affiliated with the Department of Meteorology at the University of Reading. His research focuses on urban climate dynamics, aerosol radiative forcing, and monsoon systems. He specializes in improving high-resolution weather models through thermal remote sensing and addressing biases in climate simulations. Key research interests include urban microclimate impacts, aerosol-cloud interactions, and the predictability of Indian monsoons. He has contributed to advancing ECMWF seasonal forecasting systems and analyzing historical climate reconstructions to understand global monsoon behavior. His work spans interdisciplinary approaches, integrating remote sensing data with numerical modeling to address challenges in urban meteorology and tropical climate systems. He has collaborated closely with the Met Office and academic institutions to enhance model accuracy in representing complex atmospheric phenomena.

Dirk Lars EngelbergView profile

Professor

• Corrosion Science & Engineering
• Materials Performance
• Stress Corrosion Cracking
• +13 more

Professor Dirk Lars Engelberg is a Professor in Materials Performance & Corrosion at the Department of Materials, University of Manchester. He holds multiple affiliations including the Dalton Nuclear Institute and the Sellafield Effluent & Decontamination Centre of Expertise (SEDCoE). As Corrosion@Manchester lead and SEDCoE Decontamination Lead, he plays a pivotal role in advancing corrosion science with applications in nuclear energy, net zero engineering, and materials performance. Professor Engelberg's educational background includes a PhD in Metallurgy & Materials Science, an MSc in Corrosion Science & Engineering from UMIST, and a Diplom-Ingenieur (FH) in Surface Engineering & Materials Science from Aalen University in Germany. His industry experience as an electroplater (1991-1994) provided foundational knowledge that has informed his academic career. His research spans carbon steels, stainless steels, aluminum alloys, and nickel alloys, with particular emphasis on their performance in nuclear applications and hydrogen-related environments. Professor Engelberg's expertise covers metallurgy & processing, grain boundary engineering, hydrogen effects, bipolar electrochemistry, in-situ imaging techniques, and cementitious materials for nuclear waste disposal. Professor Engelberg's recent publications demonstrate a strong focus on advanced corrosion testing methodologies, hydrogen effects on material performance, and innovative imaging techniques for corrosion monitoring. His work increasingly addresses challenges related to net zero engineering and sustainable materials solutions, reflecting the growing importance of these areas in materials science. Best Paper Award 2018 - Welding in the World (2019) Henri Coriou Award 2024 (2024) As an educator and mentor, Professor Engelberg has supervised numerous PhD and Master's students. He leads several major research projects funded by EPSRC, NNL, and other organizations. Currently, he serves as Vice Chair of the European Federation of Corrosion Working Party 5 on Environment Sensitive Fracture and as Section Editor for Shreir's Corrosion Handbook, highlighting his standing as a leading expert in the international corrosion science community.

Roland SauerbreyView profile

Professor

• Quantum Optics
• Laser Physics
• Strong-Field Physics
• +2 more

Roland Sauerbrey is a Professor of Quantum Optics at the Technical University of Dresden and Scientific Director at Helmholtz-Zentrum Dresden-Rossendorf since 2006. He previously held faculty positions at Friedrich Schiller University Jena (1994-2006), Rice University (1985-1994), and served as President of the German Physical Society (2002-2004). Education: Ph.D. in Physics (1981), University of Würzburg; Postdoc at Rice University (1981-1982). His research spans quantum optics, laser physics, and strong-field laser-matter interactions, focusing on high-intensity lasers and their applications in atmospheric sensing and plasma acceleration. His work includes pioneering studies on laser-induced filamentation, proton acceleration, and supercontinuum generation. The most recent articles reflect his expertise in laser-matter coupling, atmospheric propagation, and advanced laser applications. Key themes include nonlinear optical phenomena, precision sensing, and high-energy physics experiments. Scientific Awards: Member of Leopoldina (2013), Dr. h.c. from University of Rostock (2010) and Russian Academy of Science (2004), Le Prix La Recherche (2005), Thueringer Forschungspreis (2004), Fellow of OSA and IOP (2002), Rodolf Kangslake Medal (1993). Roland Sauerbrey leads the Helmholtz-Zentrum Dresden-Rossendorf, a multidisciplinary research institution, and has contributed to major advancements in laser technology and its applications across physics and engineering.

Anne L'HuillierView profile

Professor

• Attosecond Science
• High-Order Harmonic Generation
• Ultrafast Dynamics
• +3 more

Professor Anne L'Huillier is a renowned French/Swedish physicist at Lund University, specializing in atomic physics and attosecond science. She holds the rank of Professor in the Department of Atomic Physics within the Faculty of Engineering (LTH). Her research focuses on ultrafast phenomena, particularly high-order harmonic generation and attosecond light pulses for studying electron dynamics. She leads projects like QU-ATTO and New Trends in Attosecond Science, funded by the EU and Swedish Research Councils. Education: Earned her PhD in 1986 from Université Pierre et Marie Curie (Paris) and CEA. Postdoctoral roles at Chalmers Institute of Technology (1986) and University of Southern California (1988). Became Associate Professor at Lund University in 1995 and Full Professor in 1997. Research Interests: Experimental and theoretical studies of attosecond pulses, laser-atom interactions, and ultrafast electron dynamics. Her work enables insights into quantum processes at the atomic scale. Collaborations span global institutions, advancing applications in condensed matter physics and quantum information science. Key Contributions: Pioneered methods to generate attosecond pulses, recognized by the 2023 Nobel Prize in Physics. Her team's innovations include optimizing attosecond source development and applying these pulses to study electron motion in matter. Awards: Nobel Prize in Physics (2023), Wolf Prize in Physics (2022), and multiple grants including Horizon Europe and Wallenberg Foundation funding. Active in conferences and mentoring, with 34 supervised works and 352 research outputs. Labs/Teams: Principal Investigator at NanoLund, a nanoscience center, and member of strategic initiatives like Light & Materials and Photon Science and Technology profile areas.

Francis GacengaView profile

Researcher

• Research Data Management
• IT Service Management
• Design Science
• +3 more

Dr. Francis Gacenga, currently at the University of Southern Queensland (UniSQ), serves as a Senior Digital Research Advisor in the Research Infrastructure Admin department. He is affiliated with the Centre for Sustainable Agricultural Systems and Institute for Advanced Engineering and Space Sciences. PhD in Information Systems (USQ, 2013) MBA (University of Nairobi, 2000) Graduate Diploma in MIS (University of Greenwich, 2003) BA(Hons) from Kenyatta University (1997) With over 20 years of experience in IT and academic research, Dr. Gacenga specializes in Research Data Management (RDM), IT Service Management (ITSM), Digital Research Infrastructure, and Design Science. His work focuses on applying FAIR (Findable, Accessible, Interoperable, Reusable) data principles to agricultural and environmental domains. The 15 most recent publications reveal a trajectory from foundational ITSM research (2010-2016) to agricultural data platforms (2019-2024). Key themes include FAIR data implementation, cloud computing integration, reproducible research frameworks, and cross-disciplinary agricultural applications. Senior Member of Australian Computer Society (since 2009) Former Chair of ACS Toowoomba Chapter As Principal Investigator for grants totaling over $500k from GRDC, Soils CRC, and ARDC, he leads digital infrastructure projects. He also supervises Doctoral candidates and contributes to national cybersecurity and data policy committees.

Nigel WoolseyView profile

Professor

• Laser-Plasma Physics
• Inertial Confinement Fusion
• Laboratory Astrophysics
• +1 more

Nigel Woolsey is Professor at University of York's School of Physics, Engineering and Technology, specializing in laser-plasma physics and inertial confinement fusion. His research includes laboratory astrophysics, particle transport, and ultra-intense laser interactions. He leads projects on fast ignition fusion pathways and magnetized plasma experiments. Current PhD students investigate ultra-intense laser-solid interactions, ICF physics, and spectroscopy under his supervision. Awarded Daiwa Adrian Prize (2007) for UK-Japan scientific collaboration.

• High Energy Physics
• Particle Physics
• Cosmic Ray Physics
• +10 more

Prof. Dr. Martin Erdmann is a University Professor of Experimental Physics (High Energy Physics) at RWTH Aachen University, affiliated with the Department of Physics within the Faculty of Mathematics, Computer Science and Natural Sciences. He leads research in high-energy particle physics through the CMS experiment at CERN and the Pierre Auger Observatory in Argentina. His work integrates cutting-edge digital methods, including deep learning and cloud-based data analysis via the VISPA platform. PhD, University of Freiburg (1990) Habilitation, University of Heidelberg (1996) Heisenberg Fellow at DESY and University of Karlsruhe (1997–2002) Professor at RWTH Aachen since 2004 His research interests span Higgs and top-quark physics, cosmic ray detection, radio-based shower measurement, and AI-driven data analysis. He actively contributes to physics education through textbooks and open-access video lectures. His recent publications reflect strong trends in applying deep learning to particle and astroparticle physics, particularly in event reconstruction and simulation. He leads major initiatives like the ErUM-Data-Hub and DIG-UM, advancing digital transformation in fundamental research. Heisenberg Fellowship (DESY and Karlsruhe) Chair, DPG Working Group on Physics, Modern IT, and AI (2019–2021) Project Leader, ErUM-Data-Hub (since 2021) Chair, DIG-UM Community Organization (2021–2024) Prof. Erdmann advises students at all levels and fosters innovation in data science for physics. He has secured leadership roles in international collaborations and promotes sustainable, resource-aware computing in research. His lab develops advanced detector technologies and simulation tools like CRPropa for cosmic ray propagation. Future work includes probing Higgs self-coupling, identifying cosmic ray sources, and refining AI models for physics discovery.

Sarah E. VictorView profile

Associate Professor

• Non-suicidal self-injury (NSSI)
• Suicide prevention
• Transgender and non-binary mental health
• +4 more

Sarah E. Victor, Ph.D. is an Associate Professor of Clinical Psychology in the Department of Psychological Sciences at Texas Tech University . She joined the university in Fall 2019 and leads the TRTL (Translational Research on Trauma and Life Events) lab. Her work focuses on non-suicidal self-injury (NSSI), suicide prevention, and the mental health of marginalized populations including LGBTQ+ individuals and people with disabilities. Education: Stanford University – BA in Psychology (2008) University of British Columbia – MA in Clinical Psychology (2012) University of British Columbia – PhD in Clinical Psychology (2017) Research Interests: Dr. Victor's research is organized around three key areas: (1) suicide and self-injury during high-risk transitions , especially post-inpatient psychiatric care; (2) gender minority stress and resilience among transgender and non-binary individuals; and (3) ableism and mental health among people with disabilities . She employs ecological momentary assessment (EMA), longitudinal designs, and community-engaged methodologies to explore how stigma, discrimination, and daily stressors influence mental health outcomes over time. Publications and Trends: Dr. Victor has published extensively on NSSI, suicide risk, and mental health disparities in high-impact journals such as Suicide & Life-Threatening Behavior , Clinical Psychology Review , and Perspectives on Psychological Science . Her work spans theoretical development, scale validation, and applied clinical research, with a strong emphasis on inclusion of lived experience and advocacy for marginalized communities. Grants and Funding: She is currently funded by the National Institute of Mental Health (NIMH), the American Foundation for Suicide Prevention (AFSP), and the National Eye Institute (NEI). Notable grants include: NIMH R21MH124794 – Longitudinal study of suicide risk post-inpatient discharge AFSP YIG-0-138-21 – Gender minority stress and resilience in transgender adults NEI R01EY036676 – Ableism and mental health in children with visual impairment Advising and Mentorship: Dr. Victor mentors a diverse group of graduate students in the TRTL lab, including Kirsten Christensen, Amanda Bianco, Elizabeth Hoelscher, Stacey Demirelli, and Swanaya Gurjar. She also sponsors doctoral students on NIMH-funded fellowships (e.g., F31MH136767 for Kirsten Christensen). Lab and Team: The TRTL lab is part of the Department of Psychological Sciences at Texas Tech University. It includes graduate and undergraduate researchers, postdoctoral alumni, and collaborators across institutions. The lab is committed to inclusive research practices and community engagement.

Lixia ZhangView profile

Professor

• Internet Architecture Design
• Network Protocol Design
• Named Data Networking (NDN)
• +5 more

Lixia Zhang is a Professor at the Computer Science Department of University of California, Los Angeles (UCLA) . She leads the Internet Research Lab (IRL) and has been a key figure in the Named Data Networking (NDN) project since 2010, building on Van Jacobson's Content-Centric Networking (CCNx) vision. Education : PhD from MIT (TCP/IP research), advised by Dr. David Clark Experience : Xerox PARC (7 years), currently at UCLA since 1998 Labs : Director of Internet Research Lab (IRL) at UCLA Her research focuses on Internet architecture design , NDN protocol development , and network security . She has published extensively on topics like DDoS defense patterns , LEO satellite networking , and decentralization frameworks . Her work spans applications in mHealth data sharing , edge computing , and augmented reality . Recent publications show trends in NDN scalability , secure communication , and decentralized internet infrastructure , with 15 most recent articles covering LEO satellite networks , metaverse security , scientific data distribution , and stateful forwarding mechanisms . Scientific Awards : PAM 2010 Best Paper Award Best Poster Award at ACM ICN 2018 Grants & Leadership : Recipient of Cisco Systems grant (2022) for satellite networking research, co-chair of IRTF Decentralized Internet Infrastructure Research Group (2021), and organizer of multiple NDN Community Meetings and Hackathons . Her lab has produced notable alumni including Mohit Lad (co-founder of ThousandEyes) and Lucas Wang .

• Cognitive and brain science
• Experimental psychology
• Kansei informatics
• +7 more

Katahira Kenji is an Associate Professor at the School of Humanities and Social Sciences , Osaka University, with research spanning music psychology , emotion physiology , and Kansei informatics . His work bridges Cognitive neuroscience Human-computer interaction Design psychology Key research themes include flow experiences , emotional piloerection , and nonverbal communication in musical ensembles . He developed EEG-based flow state measurement 3D shape evaluation models Emotional response frameworks for sound and design His scientific contributions include Good Design Award (2014) ICMPC10 Travel Award (2008) Multiple best paper awards from Japanese academic societies Recent projects focus on Neural basis of voluntary piloerection Physiological measurement systems for peak experiences Kansei evaluation models for textures and 3D designs with grants from the Japan Society for the Promotion of Science.

Pascal MiévilleView profile

Researcher

• Nuclear Magnetic Resonance
• Automation in Chemistry
• Digital Chemistry
• +3 more

Dr. Pascal Miéville serves as Operational Director of the Catalysis Hub - Swiss CAT+ at École Polytechnique Fédérale de Lausanne (EPFL), holding concurrent Senior Scientist positions in the Institute of Chemical Sciences and Engineering (ISIC) and School of Chemistry and Chemical Engineering (SCGC). His leadership focuses on developing automated, data-driven infrastructure for homogeneous catalysis discovery and optimization. His academic credentials include: PhD in hyperpolarized NMR from EPFL under Prof. G. Bodenhausen Master's degree in Chemistry from EPFL Master in Public Administration (MPA) from IDHEAP at UNIL specializing in public finances Miéville's research bridges traditional chemistry with digital innovation through three core domains: Nuclear Magnetic Resonance, Automation in Chemistry, and Digital Chemistry. With 15 years of pharmaceutical industry experience at Bracco Research developing MRI contrast agents, he brings practical expertise to his current mission of creating fully automated laboratory systems. His work represents a paradigm shift toward data-intensive chemical research where algorithms drive experimental design and analysis. His publication record demonstrates consistent expertise in NMR techniques, particularly dynamic nuclear polarization, with applications spanning materials science, medical imaging, and environmental chemistry. Recent work increasingly focuses on integrating automation systems with chemical workflows, reflecting his leadership in the emerging field of digital chemistry laboratories. As an educator, Miéville teaches digital and automation chemistry to Master's students at EPFL, preparing the next generation of chemists for data-driven laboratory environments. His leadership of the Swiss CAT+ West Hub has positioned him at the forefront of chemical research innovation, though specific scientific awards aren't documented in the provided materials. The Swiss CAT+ West Hub under Miéville's direction operates as a cutting-edge testbed for automated chemistry, combining robotics, machine learning, and systematic data collection to accelerate catalysis research. This infrastructure enables high-throughput experimentation with rigorous data capture, facilitating machine learning applications that optimize catalytic systems more efficiently than traditional methods. The hub exemplifies Miéville's vision of chemistry's digital transformation.

Adam PererView profile

Associate Professor

• Human-Centered AI
• Data Visualization
• Healthcare Informatics
• +4 more

Adam Perer is an Associate Professor at Carnegie Mellon University, where he is a member of the Human-Computer Interaction Institute within the School of Computer Science. He serves as Co-Director of the Data Interaction Group and holds leadership positions as Area Papers Chair at IEEE VIS and Visualization Subcommittee Papers Chair at ACM CHI. Previously, he worked as a Research Scientist at IBM Research. Ph.D. in Computer Science from the University of Maryland, College Park Perer's research integrates data visualization and machine learning techniques to create visual interactive systems that help users make sense of big data. His work focuses on human-centered data science, extracting insights from clinical data to support data-driven medicine, and facilitating human-AI collaboration. He investigates how people engage with and make decisions using data, designing new interfaces to interact with complex information while assisting impactful domains drowning in data. His recent publications reveal a strong trend toward healthcare applications of AI and visualization, particularly in clinical decision support and overdose prevention. There's also a significant focus on explainable AI (XAI), with multiple papers examining how imperfect explanations affect human-AI collaboration and decision-making in critical contexts like healthcare. His work consistently bridges visualization theory with practical applications in high-stakes domains. Best Paper Honorable Mention for 'Dead or Alive: Continuous Data Profiling for Interactive Data Science' (VIS 2023) Best Paper for 'Neo: Generalizing Confusion Matrix Visualization' (CHI 2022) Most Reproducible Paper Award for 'SQLShare' (SIGMOD 2016) Perer actively mentors students across all levels, with PhD students focusing on human-AI collaboration in healthcare settings, visualization techniques, and clinical decision support systems. His lab receives funding for projects related to human-centered AI, data visualization in healthcare, and explainable machine learning systems. The Data Interaction Group, which he co-directs, focuses on empowering everyone to analyze and communicate data through interactive systems. His research has been supported by collaborations with medical institutions and appears in premier venues for visualization, human-computer interaction, and medical informatics. Current projects include Eye into AI (improving XAI interpretability), Predicting and Visualizing Overdose Risk, and AI applications in intensive care units.

• Accelerator Physics
• Beam Dynamics
• Radio-Frequency Photoinjectors
• +5 more

Thorsten Kamps is a Professor of Physics at Humboldt University of Berlin and Head of the Department of High-Brilliance Electron Beams at Helmholtz-Zentrum Berlin . He is also Deputy Project Manager for the Superconducting RF Electron Accelerator Laboratory SEALAB . Education: Graduate Physicist (Dipl.-Phys.) from TU Dortmund (formerly University of Dortmund), Doctor rerum naturalium (Dr. rer. nat.) from Humboldt University of Berlin Research Interests: Particle accelerator beam dynamics, diagnostics, superconducting radio-frequency photoinjectors (SRF photoinjectors), photocathode growth, instrumentation for bright electron beams, free-electron lasers, ultrafast scattering sources, and future trends of accelerator-driven light sources Expertise: Accelerator physics, beam physics of electron beams, photoinjectors, storage rings, electron beam diagnostics, free-electron lasers, and project management of large-scale accelerator projects Labs/Teams: Involved with SEALAB (Superconducting RF Electron Accelerator Laboratory), BERLinPro (Berlin Energy Recovery Linac Project), and collaborations with institutions like Royal Holloway University of London, DESY, and DELTA/University of Dortmund Publications Trends: Thorsten Kamps’ recent works focus on SRF photoinjectors, beam diagnostics, photocathode development, and thermal load studies. His research spans applications in ultrafast electron diffraction, laser-driven acceleration, and energy-recovery linacs, with collaborations across Europe and the US. Topics include interferometric beam monitoring, multi-alkali antimonide materials, and solenoid alignment for beam control. Teaching: Promotes education in accelerator physics through BSc and MSc courses, and supervises BSc, MSc, and PhD students. Develops practical experiments for internships in accelerator physics.