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Tessa DavisView profile

Senior Lecturer

• Paediatric Emergency Medicine
• Medical Education
• Free Open Access Medical Education (FOAMed)
• +3 more

Dr Tessa Davis serves as a Consultant in Paediatric Emergency Medicine at The Royal London Hospital and Senior Lecturer at Queen Mary University of London within the Blizard Institute of the Faculty of Medicine and Dentistry. She directs the Paediatric Emergency Medicine MSc program and leads paediatric components of the Emergency and Resuscitation Medicine MSc, establishing her as a key educator in emergency paediatrics. Her research spans Paediatric Emergency Medicine and Medical Education with pioneering work in Free Open Access Medical Education (FOAMed). Davis champions gender equity and diversity in clinical education, evidenced by her publications on inclusive skin imagery and equitable resource distribution. Her clinical scholarship focuses on evidence-based protocols, particularly avoiding unnecessary interventions like chest X-rays in infant bronchiolitis cases. Recent publications reveal a strategic shift toward digital knowledge translation during global health crises, with emphasis on remote learning methodologies and pandemic-responsive educational tools. Her work consistently bridges clinical practice and academic innovation through the Don't Forget The Bubbles platform. Scientific recognition includes: Fellow of the Royal Australasian College of Physicians (General Paediatrics) Fellow of the Royal Australasian College of Physicians (Paediatric Emergency Medicine) Fellow of the Higher Education Academy As Programme Director for two MSc programs, Davis mentors emerging specialists while co-founding Don't Forget The Bubbles (DFTB) – a global knowledge-sharing ecosystem connecting 50,000+ paediatric clinicians. Her leadership extends to international educational initiatives addressing systemic gaps in emergency paediatric care. Davis operates within Queen Mary's Blizard Institute research environment while driving DFTB's collaborative network, which spans 147 countries and produces evidence-based clinical resources adopted by major healthcare institutions worldwide.

• Health Services Research
• Systems Engineering in Healthcare
• Health Equity
• +4 more

Inas S. Khayal serves as Associate Professor at The Dartmouth Institute and Biomedical Data Science at Dartmouth College's Geisel School of Medicine, with an adjunct appointment in Computer Science. She leads the Sustainable Health Lab focused on improving chronic care delivery through model-based systems engineering and data science. PhD, University of California, San Francisco PhD, University of California, Berkeley B.S., Boston University Dr. Khayal's research addresses multi-level interconnected healthcare systems, specializing in implementation science, quality measurement, health equity, and organizational behavior. Her work bridges data science with practical healthcare delivery challenges, particularly in palliative and end-of-life cancer care where she investigates racial disparities through clinically informed machine learning approaches. She develops dynamic visualization tools and heatmaps to translate complex data into actionable insights for healthcare systems. Her recent publications reveal a strong focus on identifying and addressing healthcare disparities, with innovative methodologies combining systems engineering and data science. The research consistently emphasizes actionable solutions for hospitals to tailor interventions based on local resources and patient population characteristics. American Cancer Society Health Equity and Access to Care Research Scholar Award (RSG-22-128-01-HOPS) NIH NIA P01AG019783 Core Leadership for Alzheimer's Disease research Dr. Khayal actively mentors PhD students and computer science senior thesis projects while teaching Health Informatics and Systems Thinking courses. Her Sustainable Health Lab develops process tools to help hospitals reduce healthcare disparities through tailored solutions. Current projects include a Web-Based Peer Support Network for care partners of seriously ill patients and research on hospital-level factors influencing palliative care disparities.

• Architectural design
• Architectural design theory
• Architectural theory
• +10 more

Alessandro Armando is an Associate Professor in the Department of Architecture and Design at Politecnico di Torino, specializing in architectural design theory and practice. His research explores the theoretical foundations of architectural projects as both bureaucratic document systems and symbolic representations within public discourse. With international collaborations across Manchester, Berlin, Belgrade and Rijeka, he contributes significantly to architectural theory through publications, editorial work, and academic leadership. Armando's research interests focus on architectural design theory, examining projects as integrated document systems within bureaucratic procedures and as symbolic components of collective representations. His work investigates project action development using methodological contributions from Actor-Network Theory and Science and Technology Studies, with particular attention to diagrams and maps as research tools. He founded the Class A journal 'Ardeth' in 2018, establishing an international platform for discussions on architectural design as scientific research and interdisciplinary intersection. His scholarly output demonstrates consistent engagement with architectural theory, design practice, and urban morphology, with recent publications exploring the relationship between architecture, philosophy, and political dimensions of urban form. The research trajectory shows increasing integration of digital technologies in architectural practice and deeper exploration of theoretical frameworks connecting design methodology with social and political contexts. Koos Bosma Prize in Planning History Innovation (2022) from International Planning History Society Scientific Committee member, Italian Institute for Advanced Studies in Torino 'Umberto Eco' - Scienza Nuova (2019-) Scientific Coordinator, Labont – Center for Ontology / Ontology of Architectural Design (2016-) Effective member, ProArch, National Coordination of Architectural Design Professors (2012-) As an academic advisor, Armando supervises multiple PhD candidates working on diverse topics including urban morphology, architectural criticism, and design theory. His teaching portfolio includes courses on architectural design theory, critical approaches to architectural reasoning, and practical strategies for architects. He has been actively involved in the PhD program 'Architettura. Storia e Progetto' at Politecnico di Torino since 2017. Armando leads research activities through tdpLAB (DAD) and collaborates internationally through networks such as Social Integration through Urban Growth Strategies – SINERGI and Memory & the City. His editorial work spans multiple publications including Ardeth (since 2017), where he helps shape contemporary discourse on architectural theory and practice.

• Catalysis
• CO₂ Valorization
• Kinetic Modeling
• +4 more

Dr. Sofia Angeli is a Group Leader at the Institute of Catalysis Research and Technology (IKFT), Karlsruhe Institute of Technology (KIT), Germany, since March 2024. Previously, she held roles as Senior Scientist/Group Leader (2021–2024) and Postdoctoral Researcher (2017–2019) at KIT. Her research focuses on catalysis for energy transition, CO₂ valorization, kinetic modeling, and digitalization of catalytic processes. She leads interdisciplinary projects integrating experimental and computational methods to advance sustainable chemical processes. PhD in Chemical Engineering (2016): Aristotle University of Thessaloniki, Greece. Thesis: Hydrogen production via intensified methane steam reforming processes. M.Sc. in Advanced Materials (2012): Aristotle University of Thessaloniki. Diploma in Chemical Engineering (2009): Aristotle University of Thessaloniki. Research Interests : Sofia’s work spans kinetic modeling, CO₂ conversion, catalytic pollutant removal, and digital tools for catalysis research. She develops novel catalysts for methane reforming and designs data management systems like Adacta and CaRMeN to streamline reaction mechanism analysis. Her projects often address industrial challenges in emissions reduction and renewable energy. Her recent publications emphasize catalytic processes for energy sustainability (e.g., methane oxidative coupling) and automated modeling frameworks. She collaborates widely, contributing to journals like Chemical Engineering Journal and ACS Catalysis . Advising & Teams : As a Group Leader, she oversees researchers in catalysis and data-driven processes. Her team works on cutting-edge projects supported by KIT’s infrastructure and interdisciplinary networks. Labs/Teams : Active in the IKFT and the Deutschmann Group, focusing on catalyst design and process intensification.

Yi ZhangView profile

Professor

• Automotive Engineering
• Power Transmissions
• Gear Theory
• +4 more

Yi Zhang is a Professor in the Department of Mechanical Engineering at the University of Michigan-Dearborn's College of Engineering and Computer Science. His expertise lies in automotive engineering, focusing on power transmission systems, dual clutch transmissions (DCTs), and hybrid electric vehicle (HEV) control strategies. Zhang's research spans theoretical and applied domains, including gear theory, CAD/CAM, and robotics. His scholarly work emphasizes advanced control systems for automotive components, energy management in hybrid and electric vehicles, and dynamic modeling of transmission systems. Recent publications highlight eco-driving optimization, adaptive gearshift strategies, and coordinated braking-shifting control for electric vehicles. Grants from General Motors, Ford Motor Company, and the U.S. Department of Energy support his research on transmission dynamics, hybrid vehicle systems, and gear design. Zhang's collaborations with industry leaders like Magna International and academic institutions demonstrate his impact in automotive and mechanical engineering.

• Industrial Engineering
• Manufacturing Systems
• Quality Management
• +5 more

Dr. Benjamin Durakovic is an Associate Professor at the Faculty of Engineering and Natural Sciences, International University of Sarajevo since 2016. He holds a PhD in Industrial Engineering (2016), MSc in Industrial Engineering and Management (2008), and a Dipl. Eng. in Energy Engineering from the University of Sarajevo (2003). Education: PhD in Industrial Engineering, International University of Sarajevo (2016) MSc in Industrial Engineering and Management, University of Sarajevo (2008) Dipl. Eng. in Energy Engineering, University of Sarajevo (2003) Research Interests: His work focuses on lean manufacturing integration with Industry 4.0, phase change materials (PCMs) in construction and energy systems, thermal energy storage, quality management, and optimization of manufacturing processes. He explores applications of PCMs in building envelopes, electronics cooling, and sustainable composites, while also investigating the impact of industrial IoT on quality control and workforce productivity. Recent Articles: Recent publications highlight advancements in PCM applications, lean 4.0 manufacturing, measurement system capability, and error analysis in shift-based production. His research bridges theoretical frameworks with practical case studies in metal coating, textile, and rebar manufacturing. Advising & Grants: No formal advisees listed, but his research emphasizes industry collaboration and applied solutions. His work contributes to innovation ecosystems through initiatives like the Science-Technology Park Ilidža. Labs & Teams: Engaged in interdisciplinary projects at the International University of Sarajevo, focusing on smart technologies, sustainable materials, and advanced manufacturing systems.

• Aircraft Design and Systems
• Sustainable Aviation
• System of Systems Engineering
• +3 more

Christopher Jouannet is an Associate Professor and Docent at Linköping University's Department of Management and Engineering (IEI), affiliated with the Fluid and Mechatronic Systems (FLUMES) group. His work focuses on aircraft design, sustainable aviation, and system-of-systems engineering. He holds a position in the Fluid and Mechatronic Systems department, contributing to interdisciplinary research at the intersection of aerospace and systems engineering. Research interests include sustainable aviation technologies, unmanned aerial systems, agent-based simulation frameworks, and ontology-driven system design. His recent work addresses economic viability of regional aircraft concepts, zero-emission transportation strategies in Scandinavia, and technology assessments for defense-related airborne platforms. Publications emphasize innovative approaches to aircraft actuation systems, multi-fidelity modeling integration, and systems-of-systems architectures. His contributions span both academic journals and conference proceedings, with a strong emphasis on applied research impacting aviation sustainability and defense capabilities. Labs/Teams: Active member of the FLUMES research group, collaborating on projects involving conceptual aircraft design, system integration, and advanced simulation methodologies.

Jie RenView profile

Lecturer

• Software Engineering
• Software Security
• Component-Based Systems
• +3 more

Jie Ren is an academic with a Ph.D. from the Department of Informatics at the University of California, Irvine (UCI), where he specialized in Software Engineering under the guidance of Richard N. Taylor. Prior to UCI, he was a lecturer at Fudan University’s Software Engineering Lab, teaching Advanced Software Engineering courses. Post-Ph.D., he joined Google in Santa Monica. His research focuses on secure software architecture, event-based systems, and component integration, with notable contributions to the Secure xADL language and the Swirl project for usable security visualization. He has also developed tools for ranking research institutions based on publications and explored bridging communication paradigms like procedure calls and message passing. Education: Ph.D. in Informatics, University of California, Irvine (1999–2006) Software Engineering Studies, Fudan University (pre-UCI) Research Interests: Secure software architecture, component-based development, event-driven systems, usable security, architecture description languages, and system integration. His work emphasizes practical methodologies for designing secure, scalable, and interoperable software systems. Professional Contributions: Authored/co-authored over 15 publications on topics like architectural security, visualization for usability, and tool development. Served as webmaster for ASE 2005 and contributed to open-source projects like the Visio Editor for C2/xADL. Labs/Teams: Affiliated with UCI’s Institute for Software Research and contributed to collaborative projects such as the Swirl security visualization initiative.

• High-Speed Electronics
• MMIC Design
• Millimeter-Wave Communication
• +9 more

Professor Herbert Zirath is affiliated with the Department of Microtechnology and Nanoscience (MC2) at Chalmers University, Sweden , where he has held the Chair in High Speed Electronics since 1996. His research focuses on MMIC design for millimeterwave/sub-THz applications using III-V and silicon technologies, with current involvement in EU projects like 6GTandem , CoreNext , and TeraGreen targeting SiGe BiCMOS-based RFIC solutions for high data rate communication. Author/co-author of 530+ refereed papers Holder of 5 patents in high-frequency electronics Expert in semiconductor technologies: InP DHBT, GaN HEMT, SiGe BiCMOS Recent work includes polymer microwave fiber communication systems (e.g., 48 Gbps D-band links), sub-THz packaging solutions (EBG structures, glide-symmetric waveguides), and graphene FET applications in microwave detection. His team develops energy-efficient transceivers and low-loss chip-to-waveguide transitions for next-generation wireless infrastructure.

• Scientific Visualization
• Data Analysis
• Medical Applications
• +6 more

Ingrid Hotz is a Professor in Scientific Visualization at Linköping University, affiliated with the Department of Science and Technology (ITN) and the Center for Medical Image Science and Visualization (CMIV). She holds a Master's in Theoretical Physics from Ludwig Maximilian University (Munich) and a PhD in Computer Science from the University of Kaiserslautern. Her research focuses on data analysis and scientific visualization, spanning applications in fluid dynamics, medical imaging, and large-scale simulations. She has led research groups at the Zuse Institute Berlin (2006–2013) and the German Aerospace Center (DLR, 2013–2015). Her work integrates methods from computer graphics, computational geometry, and topology. Key research areas include multi-field visualization, topological data analysis, and scalable systems for ocean data exploration. She has contributed to software tools like VIAMD and pyParaOcean. Notable collaborations include material science research (e.g., beryllonitrene synthesis) and large-scale conference organization (Eurographics 2020, attracting 23,000 participants). Her research bridges theoretical foundations with practical applications in medicine, engineering, and environmental science. Publications highlight advancements in visualization techniques for molecular dynamics, medical imaging, and climate modeling. She actively participates in interdisciplinary projects, such as predicting liver steatosis dynamics and developing frameworks for analyzing brain activity via fMRI data. Her work emphasizes bridging gaps between computational methods and real-world scientific challenges.

Ioan NistorView profile

Professor

• Coastal Engineering
• Hydraulic Engineering
• Extreme Hydrodynamic Loading
• +5 more

Dr. Ioan Nistor is a Professor of Hydraulic and Coastal Engineering at the University of Ottawa , affiliated with the Department of Civil Engineering . He also serves as the Assistant Vice-Provost, Graduate and Postdoctoral Studies . His research focuses on hazards associated with extreme hydrodynamic loading on infrastructure, coastal erosion, and disaster risk reduction. He chairs the Maritime and Coastal Division of IAHR and contributes to design guidelines for tsunami-resistant buildings through the ASCE7 Tsunami Loads Subcommittee . Dr. Nistor holds editorial roles at Journal of Waterways, Ports, Coastal and Ocean Engineering (ASCE), Coastal Engineering Journal , and Canadian Journal of Civil Engineering . He has received prestigious awards, including the 2014 JWPCOE Outstanding Paper Award and the 2010 Tsunami International Society Award. Prior to academia, he worked as a hydraulic engineer at AECOM-TECSULT Montreal , contributing to water resources projects globally. Research Interests: Tsunami impact mitigation, dam failure analysis, coastal vegetation dynamics, climate change adaptation, and nature-based solutions for coastal protection. Professional Activities: Board member of the Canadian Coastal Science and Engineering Association, voting member of ASCE7 Tsunami Subcommittee. His recent work emphasizes probabilistic tsunami hazard assessments and the integration of ecological engineering principles into coastal infrastructure design. Collaborative projects include Living Dyke initiatives and field studies on post-disaster resilience.

Sarah HarrisView profile

Professor

• Computer Architecture
• FPGA Design
• RISC-V Systems
• +3 more

Sarah Harris is Professor and Undergraduate Coordinator in the Department of Electrical and Computer Engineering at University of Nevada, Las Vegas. Her research focuses on computer architecture education, FPGA-based systems, and hardware implementations of neural networks. Research areas include: RISC-V architecture education tools FPGA-based hardware design Embedded AI systems Computer engineering pedagogy Her publication portfolio shows strong focus on educational innovation with 7 publications (2021-2024) on RISC-V teaching tools and MOOCs, alongside hardware implementations of neural networks and contributions to bioinformatics tools. Earlier work includes digital design fundamentals and memory systems.

Timothy DrysdaleView profile

Professor

• Remote Laboratories
• Engineering Education
• Electromagnetics
• +2 more

Timothy Drysdale is Professor and Chair in Technology Enhanced Science Education at the University of Edinburgh, where he directs the Remote Laboratories group and serves as Director of Strategic Digital Education. His practable.io platform revolutionizes laboratory education through aesthetically-designed remote experiments installed in campus foyers, saving physical space while enhancing accessibility. Research develops novel remote labs based on experiments likened to "science museum exhibits," integrating real-time equipment access via web interfaces. Additional work explores orbital angular momentum in radio communications. His £3M openEngineering Laboratory project received multiple honors including the Queen's Anniversary Prize and THE Digital Innovation Award. Global Online Laboratories Consortium Award (2024, 2018) Queen's Anniversary Prize (2024) Jisc Digital Transformation Award (2023) Guardian Teaching Excellence Award (2018) Teaches across undergraduate engineering programs and supervises doctoral projects in digital education innovation. Advocates for assessment transformation and generative AI integration in education.

• Microprocessor Technology
• Signal Processors
• Space Electronics
• +4 more

Prof. Burkart Voss is a Professor at the Department of Electrical Engineering and Information Technology, Ernst Abbe Hochschule Jena. He serves as BaföG representative and Head of the Space Electronics specialization. His research focuses on microprocessor technology, space systems, and radiation-resistant electronics. Research Interests: Design of microprocessors and signal processors Space-qualified electronics development Application of commercial-off-the-shelf (COTS) components in space Single-event effects (SEE) mitigation in space electronics Key Projects: RAKS : Investigating commercial sensors for space navigation LUNTE : Laser-based testing of radiation effects on electronics Teaching: Leads courses on signal processors, processor design, and space systems engineering. Coordinates interdisciplinary autonomous model vehicle projects preparing for embedded world competitions. Grant Activities: Receives funding from German Federal Ministry for Economic Affairs (Project RAKS: 50RM1410).

Jim BuffenbargerView profile

Associate Professor

• Programming Languages
• Compiler Design
• Software Engineering
• +3 more

Jim Buffenbarger is an Associate Professor in the Department of Computer Science at Boise State University. He has maintained a continuous teaching presence at the university since at least 1995, with course schedules documented through Spring 2025. His educational background includes: Ph.D. in Computer Science from the University of California, Davis (1990) M.S. in Computer Science from San Jose State University (1985) B.S. in Computer Science from California State University, Hayward (1982) Dr. Buffenbarger's research spans three decades with a clear progression from theoretical foundations to practical applications. His early work focused on formal methods for specifying and verifying concurrent systems, as evidenced by his 1990 dissertation 'Equational Specification and Verification of Concurrent Systems.' Over time, his research evolved toward practical software development tools, particularly in the area of build systems. His most significant contribution appears to be Amake, an enhanced build system that improves upon GNU Make with automatic dependency analysis and target caching capabilities. His recent publications continue this trajectory with work on LLVM and GCC translation systems. His publication record shows consistent productivity from 1990 through 2023, demonstrating a logical progression from theoretical computer science to practical software engineering tools. The recurring themes in his work include dependency management, build automation, and software configuration management. Dr. Buffenbarger regularly teaches CS 354 (Programming Languages), CS 452/552 (Operating Systems), and CS 472/572 (Object-Oriented Design Patterns). His teaching portfolio also includes Software Engineering, Programming Language Translation, and Ethical Issues in Computing, reflecting his broad expertise across computer science disciplines.