جست‌وجوی استاد و پژوهشگر

Ulla-Mari Kinnunenمشاهده پروفایل

استاد

• Health Informatics
• Digitalization
• Evidence-Based Healthcare
• +۳ مورد دیگر

Ulla-Mari Kinnunen is a Professor of Health and Human Services Informatics at the University of Eastern Finland's Department of Health and Social Management, within the Faculty of Social Sciences and Business Studies. She also holds the title of Adjunct Professor in Evidence-Based Research and Development. Her research focuses on health informatics, digitalization in healthcare and social services, evidence-based practices, and informatics competencies for professionals and citizens. She chairs the Finnish nursing terminology (FinCC) and serves on the IMIA Nursing Informatics Board and the Finnish Centre for Evidence-Based Health Care. She supervises 16 doctoral students and coordinates the Health and Human Services Informatics (HHSI) Master’s program. She is a member of the Finnish Publication Forum (Panel 14) and the Editorial Board of JMIR Nursing. In 2021, she was awarded the IMIA fellowship as a Fellow of the International Academy of Health Sciences Informatics. Her research interests include structured data systems, classifications in electronic health records (EHR), and organizational factors influencing digitalization. Key projects include the 'FinCC' research group for nursing terminology and the 'House of Effectiveness' initiative. Her work emphasizes improving healthcare quality through informatics and evidence-based practices. Recent publications highlight studies on information systems implementation, digitalization challenges, and the role of informatics in interprofessional collaboration. She actively contributes to international health informatics education and policy, including the European Summer School in Health Informatics and the TIGER Initiative for workforce development. Grants and Projects: Research Project on Data Resources for Fire Investigation (2023–2025), IMIA Fellowship, and EU-funded initiatives like eHealth4all@eu. Labs/Teams: Health and Human Services Informatics Research Group, FinCC Research Group, and the Finnish Centre for Evidence-Based Health Care.

• Semiconductor Physics
• Quantum Optics
• Nanophotonics
• +۳ مورد دیگر

Prof. Dr. Sven Höfling is the Head of Chair and leader of the '2D Materials' Group at the Department of Technical Physics, University of Würzburg. His research focuses on semiconductor nanostructures, photonic systems, and quantum materials, with expertise in low-dimensional systems and light-matter interactions. He leads projects in the Cluster of Excellence ct.qmat and collaborates on EU, DFG, and industry-funded initiatives in quantum technology and nanophotonics. Affiliations: Chair of Technical Physics, University of Würzburg Address: Am Hubland, P1 Building (Room AU26), 97074 Würzburg, Germany Research highlights include topological polariton lasers, quantum dot photonics, and mid-infrared optoelectronics. His work spans experimental physics with strong ties to theoretical models, emphasizing applications in quantum computing and optoelectronic devices. Recent advances include room-temperature polariton lasers and strain-tunable single-photon sources. Key projects include the Würzburg-Wroclaw Nanophotonics Center and collaborations with KAIST-JMU on quantum technology. His lab employs advanced fabrication techniques like circular Bragg gratings and resonant tunneling diodes.

Thomas Wildمشاهده پروفایل

استاد

• Manycore system on chip (SoC) architectures
• Network processor (NPU) architectures
• On-chip communication architectures
• +۳ مورد دیگر

Dr.-Ing. Thomas Wild serves as an Academic Director at the Technical University of Munich (TUM), working within the TUM School of Computation, Information and Technology at the Chair of Integrated Systems. He maintains an active research and teaching role at the institution, with his office located in Building N1 (Theresienstr. 90), Room N2136 in Munich, Germany. Dr. Wild's research focuses on advanced computing architectures, with particular emphasis on manycore system on chip (SoC) architectures, network processor (NPU) architectures, on-chip communication architectures including networks on chip (NoC), and system level design methodologies. His work bridges theoretical research with practical implementation, often exploring design space exploration techniques to optimize system performance. The evolution of his research over two decades demonstrates a consistent focus on improving communication architectures and system-level design for embedded and high-performance computing platforms. His recent publications (2023-2025) reveal a growing integration of machine learning techniques with traditional hardware design, particularly in optimizing power-performance tradeoffs in embedded systems. There's a clear trend toward hardware-software co-design approaches, with significant work on SmartNICs, Linux system optimization, and network processing acceleration. His research shows strong interdisciplinary connections between computer architecture, networking, and machine learning. EUROPRACTICE representative for TUM city campus, facilitating access to commercial EDA tools for academic purposes Active collaborator with Professor Andreas Herkersdorf and other researchers at TUM Focus on practical implementations with FPGA-based prototyping and real system modifications Dr. Wild teaches several hardware design courses including VHDL Lab, SystemC Lab, and HW/SW Codesign, contributing to the education of next-generation computer engineers. His teaching directly complements his research in system design and hardware acceleration, providing students with hands-on experience in cutting-edge technologies.

Mohamed Khalifaمشاهده پروفایل

پژوهشگر ارشد

• Health Informatics
• Artificial Intelligence in Healthcare
• Clinical Decision Support Systems
• +۳ مورد دیگر

Dr. Mohamed Khalifa is a Visiting Fellow at the Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney. He holds a PhD in Health Innovation from Macquarie University (2020) and an MSc in Health Informatics from the University of Edinburgh (2012). His expertise spans health informatics, AI-driven healthcare solutions, and strategic healthcare management. He has led multidisciplinary teams in developing evidence-based frameworks like GRASP for clinical predictive tools. Affiliations: Visiting Fellow, Macquarie University Director of Studies, College of Health Sciences (Education Centre of Australia) Former Digital Health Officer, Australian Digital Health Agency (2020–2021) His research focuses on AI applications in healthcare, clinical decision support systems, and health analytics. Over 20 years, he has published 60+ peer-reviewed papers and holds an innovation patent (2018). He has received awards including the IMIA Best Paper (2020) and ICIMTH Best Paper (2015). Dr. Khalifa’s work emphasizes improving healthcare efficiency through technology, including projects on predictive tools, emergency room performance, and diabetes management. He is a Fellow of the Australasian Institute of Digital Health and certified in healthcare information systems (CPHIMS).

Aida Jebaliمشاهده پروفایل

استاد

• Supply Chain Management
• Operations Research
• Maritime Logistics
• +۴ مورد دیگر

Aida Jebali is a Professor of Operations and Supply Chain Management at SKEMA Business School's Digitalization Academy. She holds a PhD and Habilitation (HDR) from Grenoble Institute of Technology and has held faculty positions at ESIEE Paris, University of Sharjah, Masdar Institute, and Prince Sultan University. Her research focuses on supply chain resilience, pandemic planning, healthcare operations, and maritime logistics. Education: 2023: HDR in Industrial Engineering, Université Grenoble Alpes 2004: PhD in Industrial Engineering, Grenoble INP 2000: Master of Science in Industrial Engineering, Grenoble INP 1999: National Engineer Diploma, Ecole Nationale d'Ingénieurs de Tunis Research Interests: Pandemic resilience in supply chains Maritime logistics and quay crane optimization Emergency medical service design Healthcare operations and operating room scheduling Environmental sustainability in supply chains Recent Contributions: Her work addresses critical challenges such as pandemic-induced disruptions, ambulance relocation systems, and carbon-efficient supply chains. Recent studies include optimizing production under pandemic conditions and resilience strategies for food supply chains. Awards: High Level Scientific Stay (French Ministry of Foreign Affairs, 2009 & 2007) PhD Scholarship Award (French Ministry of Foreign Affairs, 2000) PhD Supervision: Co-director: G. Pinto, H. NOUIRA, R. BOUJEMAA Jury Member: L. WANG Research Affiliations: Senior Editor of IMA Journal of Management Mathematics and active reviewer for top journals such as International Journal of Production Economics .

Matthew Holdenمشاهده پروفایل

دانشیار

• Surgical Data Science
• Machine Learning
• Computer-Assisted Surgery
• +۳ مورد دیگر

Matthew Holden is an Associate Professor in the School of Computer Science at Carleton University. He holds a PhD (2018) and MSc (2014) from Queen's University and a BScH (2012) from Western University. His research focuses on Surgical Data Science, applying machine learning to surgical time-series data from operating rooms and simulations to improve patient outcomes and surgical training. Key areas include real-time decision support, performance assessment, and surgical efficiency through domain-knowledge integration. Research interests emphasize machine learning for surgical workflows, skill assessment via sensor data (e.g., motion tracking, EEG), and computer-assisted interventions. Notable work includes automated proficiency evaluation in cataract surgery, ultrasound-guided procedures, and neurosurgical training. His contributions span medical robotics, surgical education, and clinical decision support systems. Publications highlight advancements in surgical workflow anticipation, tool detection, and skill metrics across domains like ophthalmology, emergency medicine, and neurology. Holden advocates for interdisciplinary approaches combining computational methods with clinical expertise to enhance healthcare delivery.

Mario Romeroمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Data Visualization
• Ubiquitous Computing
• +۶ مورد دیگر

Mario Romero is an Associate Professor in Visualization at the Department of Computational Science and Technology (CST), KTH Royal Institute of Technology. He leads the InfraVis national research infrastructure for data visualization and is a Digital Futures Faculty member. His roles include national technical manager of InfraVis, member of the Executive Committee of Digital Futures, and Associate Director for Seminars & Workshops. Education: PhD in Computer Science (Georgia Tech, 2009), MSc in Computer Science (UIUC, 2001), and dual BSc degrees in Industrial Engineering and Construction Engineering (Universidad San Francisco de Quito, 1996). He is a Fulbright Scholar from Ecuador and holds postdoctoral experience at Uppsala University. Research focuses on Human-Computer Interaction, Visualization, and Ubiquitous Computing. Key projects include: TENT: Technology-Enhanced Neurosurgical Training VisBac: Visualizing airborne bacteria in ORs PSP: Platform for Smart People (autism support) SMART: Predictive maintenance in pharmaceuticals Homo Colossus: Energy footprint visualization Awards: Selected for IVA's 100 research2business projects (2021). Co-founded BrailleTouch (blind-friendly keyboard) and Anymaker (3D sketching app). Supervised students in C-Awards-winning projects (e.g., Yue Liu's thesis defense in 2024). Teaching: Responsible for courses like Information Visualization (DH2321) and Advanced Graphics & Interaction (DH2413). Active in organizing conferences (e.g., Eurographics 2020 Education Track Chair).

Seokjun Younمشاهده پروفایل

استادیار

• Healthcare Operations Management
• Service and Retail Operations
• Health IT Management
• +۹ مورد دیگر

Seokjun Youn is an Assistant Professor in the Department of Management Information Systems at the Eller College of Management, University of Arizona . His research focuses on improving healthcare delivery systems through technological innovations and operational strategies, with additional expertise in supply chain logistics and platform business models. Education: PhD in Operations and Supply Chain Management from Texas A&M University; MS and BS in Industrial Engineering from Texas A&M University and Seoul National University, respectively. Research Areas: Healthcare operational efficiency, patient flow, health IT, human-AI collaboration, and supply chain management. Scientific Awards: DSI Best Theory-Driven Empirical Research Paper Award (2024) CMIH Grant (2020, 2021, 2023, 2024, 2025) POMS Emerging Scholars Program (2021, 2023) Professional Service: Editorial board member for Production and Operations Management and Decision Sciences journals; track chair for conferences like CHITA and DSI. His work combines econometric methods and optimization techniques to address challenges in healthcare systems, with findings published in top journals including Manufacturing & Service Operations Management and Journal of Operations Management .

David Mowbrayمشاهده پروفایل

استاد

• Semiconductor Physics
• Quantum Dots
• Nanowire Growth
• +۵ مورد دیگر

Professor David Mowbray is a Professor of Physics at the University of Sheffield, affiliated with the School of Mathematical and Physical Sciences and the Department of Physics. His research focuses on III-V semiconductors, quantum dots, and nanostructures, emphasizing applications in high-efficiency lasers and light emitters. He has pioneered studies on AlGaInP band structures and quantum dot-based devices, including lasers on Si substrates for silicon integration. Qualifications: B.A. in Physics (Hertford College, Oxford, 1984) and D.Phil. in Physics (Hertford College, Oxford, 1989). Research interests include optical spectroscopy of wide band gap materials (AlGaInP, AlInGaN) for visible/UV emitters, quantum dot lasers with low threshold currents, and nanowire quantum dots for single-photon sources. Current projects involve quantum dots in quantum wires with UCL and Warwick, aiming for nanoscale lasers and efficient photon sources. Teaching includes courses on Fourier Techniques, Electromagnetism, and nanotechnology. He has held leadership roles, such as Head of Department and Senior Tutor, and serves on professional committees like the Institute of Physics Degree Accreditation Committee. Grants include EPSRC funding for quantum dot lasers on Si (2012–2016) and nanowire quantum dots for silicon-based emitters (2016–2020). His work bridges semiconductor physics, nanostructure engineering, and optoelectronic device applications.

Jun Xiaoمشاهده پروفایل

استادیار

• Quantum Materials
• Light-Matter Interactions
• Terahertz Optoelectronics
• +۳ مورد دیگر

Jun Xiao is an Assistant Professor in the Department of Materials Science and Engineering at the University of Wisconsin-Madison since August 2021. He holds additional affiliations with the Physics and Electrical & Computer Engineering departments. His research focuses on quantum materials, light-matter interactions, and terahertz optoelectronics. Ph.D. in Applied Science and Technology from UC Berkeley (2018) Postdoctoral scholar at Stanford University and SLAC National Accelerator Laboratory Bachelor's degree in Physics from Nanjing University Research interests include structure-property relationships in quantum materials, ultrafast optical engineering, and THz device development. His lab explores non-equilibrium phase transitions, quantum collective excitations, and photocarrier dynamics for energy and computing applications. Recent publications emphasize topological semimetals for THz sensing, stacking order engineering in 2D materials, and spin-mechanical coupling in antiferromagnets. His group integrates ultrafast lasers, quantum transport measurements, and in-situ strain control to study ferroelectricity, magnetism, and electron correlations. Scientific awards include Nature Communications Editor's Suggestion (2018) Nature Nanotechnology publication (2015) Jun Xiao's lab operates 2D material preparation and multimodal characterization facilities, including ultrafast laser systems, CW light sources, and cryogenic strain cells. He teaches courses on quantum materials and device physics, including MS&E 803 and MS&E 456.

Carsten Greveمشاهده پروفایل

استاد

• Public management and governance
• Public management reform
• Public-private partnerships
• +۱ مورد دیگر

Carsten Greve serves as Professor of Public Management and Governance and Head of the Department of Organization at Copenhagen Business School (CBS), where he maintains an office in room KIL/14.A-4.75 with contact number +4538153598. His academic leadership extends to directing departmental operations while maintaining an active research profile focused on the intersection of public sector management and private sector collaboration. At CBS, he teaches core courses including Leading Reform and Change for the Master of Public Governance program and Strategic Public Management Across the Public Sector , shaping the next generation of public sector leaders. Greve's research program centers on four interconnected domains: public management and governance systems, public management reform trajectories, public-private partnership frameworks, and market-based governance mechanisms. His work critically examines how privatization processes transform public service delivery, particularly in Nordic contexts where traditional welfare state models confront market-oriented reforms. Through comparative analyses of infrastructure projects and elderly care systems, he investigates the tension between efficiency-driven market mechanisms and democratic accountability requirements in public administration. His scholarship consistently bridges theoretical frameworks with Danish policy implementation challenges, especially in healthcare and transportation sectors. Recent publications reveal evolving research trajectories toward regulatory capitalism frameworks and agile governance models, with the 2025 Research Handbook on Privatisation synthesizing global privatization debates while the 2023 Handbook on Strategic Public Management advances collaborative governance approaches. His article corpus demonstrates increasing focus on temporal dimensions of reform implementation, risk allocation in complex partnerships, and the adaptation of public management practices in digitally transforming administrations. The recurrent Nordic case studies highlight distinctive administrative traditions navigating privatization pressures while maintaining public value commitments. No scientific awards or formal honors are documented in the available materials. Greve's supervisory record includes 10 successfully completed PhD dissertations at CBS, though specific student names and dissertation topics remain unlisted. His research activities generate substantial external engagement through presentations at national institutions including Rigsrevisionen (National Audit Office), Aalborg University, and Danske Professionshøjskoler, alongside international contributions to European Union policy reports. While grant funding details are unspecified, his prolific publication output across edited volumes, book chapters, and peer-reviewed journals indicates sustained research productivity.

• Organic Chemistry
• Photoredox Catalysis
• Electrochemistry
• +۶ مورد دیگر

Magnus A. Rueping is a highly distinguished Professor of Chemistry at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. With an impressive h-index of 107 and over 35,502 citations from 430 documents, he stands as a leading figure in modern synthetic chemistry. His research group maintains active collaborations with 651 co-authors worldwide, reflecting his significant impact on the chemical sciences community. Professor Rueping's research spans multiple cutting-edge areas in organic chemistry and catalysis. His work primarily focuses on developing novel sustainable methodologies including photoredox catalysis, electrochemical synthesis, and mechanochemistry. He has made significant contributions to the fields of $$\text{C-H}$$ functionalization, late-stage modification of complex molecules, and sustainable chemical transformations. His research group explores the intersection of traditional organic synthesis with emerging technologies to create more efficient and environmentally friendly chemical processes, with particular emphasis on nickel catalysis and metal-organic frameworks. Analysis of Professor Rueping's recent publications (2023-2025) reveals a strong trend toward integrating multiple activation modes in single catalytic systems. His work increasingly combines photochemistry, electrochemistry, and mechanochemistry (particularly resonant acoustic mixing) to develop novel catalytic platforms that minimize waste and energy consumption. A notable research direction involves the application of copper nanoclusters and cerium-based metal-organic frameworks as heterogeneous photocatalysts for challenging organic transformations. His group has also pioneered methods for $$\text{C-Ge}$$ and $$\text{C-S}$$ bond formation with exceptional selectivity. Professor Rueping's research has attracted substantial funding and recognition, as evidenced by his high citation metrics and publication record in top-tier journals including Nature Communications, Journal of the American Chemical Society, and Angewandte Chemie. His work bridges fundamental chemical research with practical applications in pharmaceutical development and sustainable manufacturing. As a dedicated mentor, Professor Rueping has supervised numerous graduate students and postdoctoral researchers who contribute to his diverse research portfolio. His laboratory operates state-of-the-art facilities for advanced organic synthesis, photochemistry, electrochemistry, and materials characterization. Current research directions include developing new methodologies for late-stage functionalization of pharmaceutical compounds, creating sustainable approaches to chemical manufacturing, and engineering novel catalytic materials for energy applications. His group's recent expansion into diagnostic technologies (nanobody-based lateral flow assays) demonstrates the versatility and interdisciplinary nature of his research program.

Jackie Chaمشاهده پروفایل

استادیار

• Human Factors and Ergonomics
• Healthcare Systems
• Surgical Robotics
• +۴ مورد دیگر

Dr. Jackie Cha serves as an Assistant Professor in the Department of Industrial Engineering within Clemson University's College of Engineering, Computing and Applied Sciences. Her research bridges human factors engineering with healthcare innovation, focusing on surgical robotics, physiological signal analysis, and wearable medical technologies to enhance clinical performance and safety. Her academic foundation includes advanced degrees from leading institutions: Ph.D. in Industrial Engineering from Purdue University M.S.E. in Biomedical Engineering from the University of Michigan B.S.E. in Biomedical Engineering from the University of Michigan Cha's research program centers on quantifying human performance in high-stakes medical environments through sensor-based metrics. She investigates nontechnical skills in surgical teams, mental workload during robotic procedures, and ergonomics of exoskeleton implementation in operating rooms. Her work integrates physiological signals, eye-tracking, and proximity sensors to develop objective assessment tools for surgical proficiency and team dynamics. Analysis of her 2023-2025 publications reveals consistent thematic focus on human-robot collaboration in surgery, with emerging trends in AI-driven workload detection (s-DResNet), neural correlates of surgical expertise, and environmental factors affecting robotic surgery outcomes. Key methodological approaches include scoping reviews of human-robot interaction metrics, mixed-methods evaluations of exoskeleton efficacy, and extended reality applications for nontechnical skills training. She leads the ECHO Lab (Engineering for Clinical and Human Outcomes) at Clemson, which develops translational solutions for healthcare human factors challenges. Her lab's work spans from fundamental physiological signal analysis to applied interventions in operating rooms and emergency medical settings.

Daniel Viewegerمشاهده پروفایل

پژوهشگر

• Materials Engineering
• Additive Manufacturing
• Design Methods for Additive Manufacturing
• +۲ مورد دیگر

Daniel Vieweger serves as a Research Scientist at the Chair of Materials Engineering of Additive Manufacturing within the TUM School of Engineering and Design at the Technical University of Munich (TUM). Based in Garching bei München, Germany, he operates from room B1.2.02 at Freisinger Landstraße 52, with contact details including email (daniel.vieweger@tum.de) and phone (+49 89 289 55347). His role centers on advancing additive manufacturing research under Prof. Dr. Peter Mayr's leadership. His research focuses on materials engineering for additive manufacturing processes, with specialized expertise in advanced design methodologies for metal 3D printing systems. This work directly supports TUM's Project Week: Fundamentals of Advanced Design Methods for Additive Manufacturing initiative, addressing critical challenges in geometric complexity, material efficiency, and structural integrity. His contributions bridge academic research with industrial applications through TUM.Additive and TUM.Idea collaborations. Within TUM's innovation ecosystem, Vieweger participates in cross-disciplinary teams developing next-generation additive manufacturing protocols. The chair maintains strategic partnerships with aerospace and automotive industries to optimize material deposition techniques and post-processing methods. His current work emphasizes computational modeling of thermal dynamics during laser-based metal additive processes, contributing to TUM's leadership in sustainable advanced manufacturing.

Tina Comesمشاهده پروفایل

استاد

• Crisis Informatics
• Decision Theory
• Disaster Management
• +۲ مورد دیگر

Tina Comes is a Full Professor in Decision-Making & Digitalisation at the University of Maastricht, Netherlands. She holds a part-time position (0.2 FTE) and has previously held academic roles at TU Delft (Associate Professor in Decision-Making for Resilience, 2017), University of Agder (Full Professor in ICT, 2015-2017), and Visiting Professor at Lamsade, Université Dauphine, Paris (2014). Her research focuses on Crisis Informatics , Decision Theory , Disaster Management , Humanitarian Logistics , and Resilience . Her work spans building simulation , ventilation systems , and energy-efficient design , with grants totaling €9.6 million since 2012. Key projects include Resilient Systems (NL Ministry of Defense, 2020-2026), H2020 HERoS (2020-2023), and Climate Resilient Urban Infrastructure (Amsterdam, 2020-2022). She has supervised 6 PhD students at TU Delft (2017-2022), 3 Postdocs/PhDs at University of Agder (2013-2020), and 1 PhD at Université Toulouse (2014-2018). Her scientific awards include: 2020 José Maria Sarriegi Award by the Spanish Red Cross 2019 Emerald Literati Award 2016 Delft Technology Fellowship (acceptance rate 2012 Best Paper Award at ISCRAM Conference