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Ivo FurnoView profile

Adjunct Professor

• Plasma Physics
• Fusion Energy
• Applied Physics
• +3 more

Ivo Furno is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Basic Sciences ( SB ) and affiliated with the Swiss Plasma Center ( SPC ). He holds a joint appointment with the SPH-ENS unit and previously contributed to EDPY-ENS teaching initiatives. His research spans fundamental plasma physics, tokamak experiments (TCV program), and applied plasma technologies including plasma agriculture. Key Collaborations: AWAKE Run 2, DEMO Neutral Beam Injectors, SPIDER, RAID linear device Teaching: General Physics (Thermodynamics), Plasma Diagnostics in Tokamaks Research focuses on plasma turbulence , negative ion sources , self-modulation of relativistic proton bunches , and plasma-seed treatments . His work includes experimental validation of edge turbulence codes , microwave interferometer design , and helicon plasma characterization for fusion applications. Publications highlight 3D plasma dynamics , Langmuir probe analysis , and ion transport phenomena . He has supervised numerous PhD students, including those working on fast ion transport , negative hydrogen ion dynamics , and millimeter-wave diagnostics . Scientific Awards: No explicit awards listed in the data. Students & Collaborations: Mentored PhD candidates such as Riccardo Agnello (helicon plasmas), Rita Agus (plasma diagnostics), and Fabio Avino (dielectric barrier discharges). Past advisees include researchers in plasma agriculture (e.g., Alexandra Waskow) and tokamak experiments (e.g., Federico Nespoli).

John GasparView profile

Researcher

• Human Factors
• Driver Behavior
• Vehicle Automation
• +5 more

John Gaspar serves as Director of Human Factors Research at the University of Iowa's Driving Safety Research Institute within the College of Engineering. His work bridges the Department of Industrial and Systems Engineering and the National Advanced Driving Simulator (NADS), where he leads critical research on driver-vehicle interactions. With a PhD in Psychology from the University of Illinois Urbana-Champaign, his academic foundation supports interdisciplinary work spanning engineering, cognitive science, and transportation safety. Gaspar's research focuses on human factors in vehicle automation systems, drowsy driving countermeasures, and driver monitoring technologies. He employs multimodal methodologies including high-fidelity simulation, naturalistic driving studies, and physiological monitoring to examine driver behavior in automated vehicles. His work specifically investigates mental model development around ADAS technologies, transition of control in conditional automation, and fatigue management strategies during long-haul driving. Analysis of his recent publications reveals dominant research themes in drowsy driving countermeasures (25% of recent work), ADAS mental model development (20%), driver monitoring system validation (15%), and rural automated vehicle deployment challenges (10%). His methodological approach consistently integrates simulation with real-world validation, particularly through NHTSA-funded projects examining human-automation interaction. As principal investigator on three active NHTSA projects, Gaspar leads research on automated vehicle HMIs, drowsiness countermeasures, and driver state detection systems. His work directly informs transportation safety policy through collaborations with the Transportation Research Board, Human Factors and Ergonomics Society, and Society of Automotive Engineers. The Driving Safety Research Institute under his direction operates multiple high-fidelity simulators including NADS-1 and NADS-2, supporting both fundamental human factors research and applied vehicle safety development. Gaspar's laboratory infrastructure includes the National Advanced Driving Simulator complex with motion-base platforms, instrumented on-road vehicles, and rural driving scenario capabilities. His team specializes in multimodal data collection combining eye-tracking, physiological monitoring, vehicle dynamics, and behavioral coding to create comprehensive driver state models. Current projects emphasize real-world applicability of laboratory findings, particularly for vulnerable populations including older drivers and those operating in rural environments.

Conrad SandersonView profile

Researcher

• Artificial Intelligence
• Machine Learning
• AI Ethics
• +7 more

Dr. Conrad Sanderson is a Researcher and Team Leader at the Data61 division of CSIRO , focusing on artificial intelligence, machine learning, AI ethics, and high-performance numerical computing. He is also an Adjunct Professor at Griffith University . With over 150 publications and 11,000+ citations, he is renowned for developing influential open-source libraries like Armadillo and RcppArmadillo . Research Interests Artificial Intelligence & Deep Learning Responsible AI, Safe AI, and Ethical Trade-offs Numerical Linear Algebra and High-Performance Computing Recent Publications highlight advancements in: Dynamic graph anomaly detection via extreme value theory Fire propagation uncertainty estimation using neural emulators Resolving ethical tensions in AI implementation GPU-accelerated machine learning Scientific Awards Most cited paper award for thesis-based article Armadillo framework: 30+ million downloads Collaborations include researchers from Facebook, NASA, Boeing, and institutions like MIT and Stanford. His work bridges academia and industry through open-source contributions and interdisciplinary applications.

Anders MøllerView profile

Professor

• Programming Languages
• Software Engineering
• Static Program Analysis
• +4 more

Anders Møller is a Professor and Vice Head of Department at the Department of Computer Science, Aarhus University, Denmark. He is a leading researcher in programming languages and software engineering, with a primary focus on static and dynamic program analysis. He serves as Chairman of the PhD Committee and holds leadership roles in the international research community, including Vice-Chair of ACM SIGPLAN and Associate Editor for ACM TOPLAS and ACM TOSEM. His research interests include programming languages, software engineering, static and dynamic analysis, program verification, and security. His work bridges theoretical foundations and practical applications, particularly in improving software reliability and security through advanced analysis techniques. The trends in his recent publications reflect a strong emphasis on static analysis for security, scalability, and real-world impact—especially in web applications, smart contracts, and open-source software supply chains. His research has evolved toward practical deployment, demonstrated by the founding and acquisition of Coana by Socket in 2025 for enhanced vulnerability detection. Recipient of the Danish Elite Research Prize 2020 ACM Distinguished Member He actively mentors students and contributes to the academic community through conference leadership (e.g., OOPSLA, PLDI, ICSE). He also co-authored the widely used textbook Static Program Analysis with Michael I. Schwartzbach. His work is deeply integrated into both academic and industrial advancements in software analysis and security.

• Nuclear Fusion
• Plasma Physics
• Tritium Fuel Cycle
• +6 more

Samuele Meschini is a Fixed-term Assistant Professor at Politecnico di Torino's Department of Energy (DENERG). His research focuses on nuclear fusion reactors, specifically tritium breeding cycles, plasma physics, and reactor design. He collaborates with MIT Plasma Science and Fusion Center (MIT PSFC), Princeton Plasma Physics Laboratory (PPPL), and Eni through experimental and computational projects. Research Interests: Meschini specializes in optimizing tritium fuel cycles for fusion reactors, examining microscopic tritium transport mechanisms, neutron damage impacts, and plasma efficiency. His work integrates machine learning for data analysis and addresses global scalability of fusion energy. Recent Publications: His articles (2022-2025) predominantly explore tritium management, reactor shielding, and fuel cycle optimization. Computational modeling and experimental validation are recurring themes, with emphasis on ARC-class reactor systems and deuterium-tritium fusion efficiency. Teaching & Advising: He serves as course collaborator for nuclear engineering courses including Nuclear Fission Plants and Radiation Protection , and mentors PhD student Gabriele Iob. He also co-instructed MIT's Engineering Principles for Fusion Reactors (2023-2024). Projects: Leads the commercial research initiative Modeling and Analysis of the ARC-class Tritium Cycle (2024-2025).

Rémy LequesneView profile

Professor

• Structural Engineering
• Reinforced Concrete Systems
• Earthquake-Resistant Design
• +7 more

Rémy Lequesne serves as Professor and Associate Dean for Faculty and Staff Affairs in the Civil, Environmental and Architectural Engineering (CEAE) department at the University of Kansas. With over a decade of experience since joining the faculty in 2013, he leads research in structural engineering with a focus on reinforced concrete systems and earthquake-resistant design. Dr. Lequesne earned his educational credentials from the University of Michigan, completing his B.S. in Civil Engineering in 2005, M.S. in Civil Engineering in 2007, and Ph.D. in Structural Engineering in 2011. His academic journey has positioned him as a leading researcher in concrete mechanics and seismic design. His research program at the LeQuenne Lab investigates reinforced concrete mechanics through experiments, numerical models, and field data to improve structural design. His work specifically targets earthquake-resistant design, identification and mitigation of structural vulnerabilities, and the use of advanced materials including fiber reinforced concrete and high-strength steel. Recent research has expanded into emergent technologies such as 3D printing applications in construction and AI-based damage detection methods. Analysis of his recent publications reveals a strong focus on high-strength materials in concrete structures, with particular attention to coupling beams, walls, and seismic performance. His work bridges theoretical mechanics with practical applications, often involving large-scale testing and direct contributions to building codes through the American Concrete Institute. Extensive research on high-strength steel reinforcement applications Studies on structural performance after disasters including the 2019 EF4 Linwood, Kansas tornado Investigations into earthquake-resistant wall systems Development of improved design methodologies for concrete structures Dr. Lequesne actively mentors graduate students, with several appearing as co-authors on his publications. His research is supported by various funding sources including the University of Kansas Center for Research, Electrical Power Research Institute, and the Engineer Research and Development Center Geotechnical and Structures Laboratory. The LeQuenne Lab serves as the hub for his research activities, focusing on experimental testing of reinforced concrete systems. The lab's work has direct applications to improving building safety in seismic and tornado-prone regions, with recent studies examining performance after the 2019 EF4 Linwood, Kansas tornado and the 2023 South-East Turkey earthquake sequence.

Mary Jane DaltonView profile

Senior Lecturer

• Medical Education
• Preventive Health Care
• Primary Health Care
• +3 more

Dr. Mary Jane Dalton serves as a Senior Lecturer at the School of Medicine and Public Health, University of Newcastle, Australia, where she has been instrumental in medical education since 2002. She played a primary role in developing Phase One of the MD program, focusing on integrating basic science, clinical medicine, and public health to cultivate compassionate medical professionals. Her institutional affiliation spans the College of Health, Medicine and Wellbeing, with direct responsibilities in curriculum design and Problem-Based Learning implementation. Her academic credentials include a Doctor of Medicine from Vanderbilt University and a Bachelor of Science in Genetics from the University of Georgia. This foundation in genetics and clinical medicine underpins her interdisciplinary approach to medical education. Doctor of Medicine, Vanderbilt University Bachelor of Science in Genetics, University of Georgia Dr. Dalton's research centers on medical education innovation, particularly Problem-Based Learning dynamics and curriculum integration. She investigates how to effectively merge basic sciences with clinical practice and public health principles to develop holistic medical training. Her work emphasizes creating environments that nurture both clinical competence and humanistic qualities in future physicians, with significant focus on preventive and primary health care frameworks as reflected in her Fields of Research codes (60% Preventive Health Care, 40% Primary Health Care). Analysis of her publication history reveals two distinct research phases: an early epidemiology period (1994-1996) focused on infectious disease outbreaks (cat-scratch disease, Rocky Mountain spotted fever, hantavirus), and her current medical education focus (2014-2024) examining assessment methods, Problem-Based Learning, and early-career researcher challenges. This evolution demonstrates her transition from clinical epidemiology to educational leadership while maintaining public health perspectives. Through her role in the MD program development, Dr. Dalton has shaped curriculum structures and teaching methodologies across multiple cohorts. Her contributions to Problem-Based Learning implementation and assessment design represent significant educational scholarship, though specific grant funding details are not documented in available sources. She maintains active engagement with medical student development through tutorial leadership and curriculum oversight.

Tracy L. Kijewski-CorreaView profile

Professor

• Civil Infrastructure Engineering
• Natural Hazard Assessment
• Disaster Mitigation
• +5 more

Tracy L. Kijewski-Correa is the William J. Pulte Director of the Pulte Institute for Global Development and Academic Director of the Integration Lab (i-Lab) at the University of Notre Dame's Keough School of Global Affairs. She holds a joint appointment as Professor of Civil Engineering and Global Affairs in the Department of Civil and Environmental Engineering & Earth Sciences. Her research focuses on civil infrastructure challenges in both developed and developing contexts, with particular emphasis on natural hazard assessment and mitigation. A co-founder of Engineering2Empower (E2E), she has developed comprehensive strategies for sustainable housing in Haiti, integrating community-led innovation and market-based solutions. Her work spans multiple regions including Haiti, United States, Latin America, Middle East, South Asia, and South Pacific/Oceania. Kijewski-Correa's recent publications demonstrate a clear trend toward leveraging open data and computational approaches for high-fidelity regional loss estimations, particularly for hurricane risk assessment. Her work increasingly integrates computer vision, Bayesian data integration, and component-level fragility modeling to advance the precision of disaster impact predictions while maintaining computational tractability across large building portfolios. Kellogg Institute Faculty Fellow (since 2011) Her research has been supported by multiple grants including projects focused on climate adaptation in Bangladesh and Haiti, community-driven development in Haiti, post-disaster sheltering programs, and technology incubators for sustainable development. As director of the Pulte Institute and Academic Director of the i-Lab, she leads interdisciplinary teams working at the intersection of engineering, global development, and disaster resilience.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +7 more

Prof. Dr. Michael Guckert is a Professor of Business Informatics - Artificial Intelligence at the Department of MND (Management, Natural Sciences, Design) at Technische Hochschule Mittelhessen (THM). He serves as Spokesperson of the KITE Competence Center, Board member at hessian.AI, and Director at StudiumPlus. His research spans multiple domains with a strong focus on AI applications in medical contexts and multi-agent systems. Dr. Guckert's research interests center on applying artificial intelligence to solve complex problems across multiple domains. His primary focus is on medical applications, particularly using AI for electrocardiogram (ECG) analysis, cardiac pathology detection, and clinical decision support systems. He also maintains significant research in multi-agent systems for traffic simulation, model-driven development approaches, and trustworthy/explainable AI systems. His work bridges theoretical AI development with practical applications in healthcare, manufacturing, and transportation. Analysis of Dr. Guckert's recent publications reveals a clear trend toward medical AI applications, particularly in cardiology. His work on the RisKa project demonstrates how AI can interpret ECG data to detect heart conditions, with significant emphasis on explainability and trustworthiness. Parallel to this medical focus, he maintains active research in multi-agent traffic simulation systems (AGADE), acoustic emission analysis, and model-driven development approaches. The publications show increasing collaboration with medical researchers, indicating a strategic focus on interdisciplinary AI applications in healthcare. Dr. Guckert leads the RisKa project (2022-2024), a €736,682 initiative funded by the Ministry for Digital Strategy and Development, which develops an AI-based clinical decision support system for ECG analysis. His research group at THM KITE Competence Center collaborates with Justus Liebig University in Giessen on biomarker research. He has secured multiple research grants for projects involving AI in medical diagnostics, traffic simulation, and manufacturing quality control. His work demonstrates strong industry-academia collaboration, particularly in applying AI to solve real-world problems in healthcare and transportation. Dr. Guckert directs the KITE Competence Center at THM, which focuses on information technology research and applications. His team includes researchers specializing in medical AI, multi-agent systems, and model-driven development. The RisKa project team specifically brings together computer scientists and cardiologists to develop clinically useful AI tools. His work with hessian.AI positions him at the forefront of AI development in the Hesse region of Germany, facilitating collaboration between academic and industry partners.

• Software Engineering
• Information Security Management
• Enterprise Architecture
• +3 more

Prof. Dr. Carsten Lucke is a faculty member at the Technische Hochschule Mittelhessen within the Department of Mathematics, Natural Sciences and Data Processing (MND), specifically affiliated with the Department of Business Informatics . He serves as Head of the M.Sc. Business Informatics program, Chair of the Master's program committee, and Chair of the admissions committee. His primary research focuses on software engineering , enterprise architecture (with emphasis on TOGAF, NAF, ADMBw), and IT security . Research Interests: Software Architecture, Architectural Modeling, Knowledge Management in Software Projects, Enterprise Architecture Frameworks Expertise: Stakeholder-Oriented Enterprise Modeling, ERP System Integration, PHP-based Software Development His publications reflect systematic approaches to integrating security management with enterprise architecture and addressing architectural complexity in large-scale systems. While no scientific awards are documented in the provided texts, his contributions span multiple empirical studies, conceptual frameworks, and practical implementations in software engineering.

Steve CounsellView profile

Professor

• Software Engineering
• Empirical Software Engineering
• Software Metrics
• +6 more

Professor Steve Counsell is a distinguished academic in the Department of Computer Science at Brunel University London's College of Engineering, Design and Physical Sciences. Holding a PhD from Birkbeck, University of London (2002), he previously served as a Lecturer at Birkbeck and brings industry development experience to his academic role. As a Fellow of the British Computer Society, his career bridges theoretical research and practical software engineering applications. PhD in Software Engineering from Birkbeck, University of London (2002) Former Lecturer at Birkbeck Department of Computer Science Industry software development experience prior to PhD Professor Counsell's research centers on empirical software engineering with particular focus on software metrics, refactoring techniques, code smells, fault analysis, and agile methodology implementation. His work consistently emphasizes industry collaboration, addressing real-world challenges faced by developers and project managers. A significant portion of his research investigates the relationship between software structure metrics and maintainability, with extensive studies on object-oriented systems evolution and web application engineering. Analysis of his recent publication trends reveals a sustained focus on empirical validation of software engineering practices, with increasing emphasis on industrial case studies and reproducibility of results. His work spans both theoretical metric development and practical application in commercial environments, particularly examining how structural code properties correlate with fault-proneness and maintenance effort. Fellow of the British Computer Society Professor Counsell actively supervises doctoral research, currently guiding three PhD students while having successfully completed nine PhD supervisions since 2004, all within software engineering and information systems domains. His research has attracted significant funding including EPSRC grants EP/E055141/1 (as Co-investigator studying program slicing and faults), EP/H019685/1 (with Moorfields Eye Hospital on glaucoma data analysis), and current project EP/L011751/1 exploring fault prediction techniques in collaboration with industry partners. His research activities are coordinated through the CIDA research group at Brunel, where he maintains strong collaborations with industry partners to ensure practical relevance of his empirical studies. Current projects focus on analyzing industrial fault data to determine which prediction techniques provide the most accurate explanations of software faults in real-world systems.

Martin Paul NawrotView profile

Professor

• Neural Information Processing
• Reinforcement Learning
• Synaptic Plasticity
• +7 more

Prof. Dr. Martin Paul Nawrot is a faculty member at the Institute of Zoology , University of Cologne . His research focuses on neural information processing , reinforcement learning , and synaptic plasticity in biological and artificial systems. He also develops large-scale brain simulations to study attractor dynamics for sensory-motor integration, motor control, and decision-making in primates and insects. Current research areas include neuromorphic computing , spiking neural networks , and computational neuroscience Key projects involve modeling insect behavior , neural coding , and cross-species AI applications His recent publications (2023-2025) explore Drosophila larva locomotion , synaptic plasticity mechanisms , and neuromorphic hardware for real-time simulations. These works span neural circuits , behavioral modeling , and computational tools like GeNN and NEST. Despite his academic prominence, no scientific awards are mentioned in the available texts.

Bryan KoronkiewiczView profile

Associate Professor

• bilingualism
• code-switching
• syntax
• +5 more

Bryan Koronkiewicz serves as Associate Professor of Spanish Linguistics within the Department of Modern Languages & Classics at the University of Alabama. His academic profile bridges theoretical linguistics and practical language education with specialized expertise in bilingual speech phenomena. His educational trajectory includes: PhD in Hispanic Studies (Linguistics), University of Illinois at Chicago (2014) MA in Hispanic Studies (Linguistics), University of Illinois at Chicago (2010) BA in Spanish / Communication Arts, University of Wisconsin-Madison Dr. Koronkiewicz's research centers on Spanish-English code-switching through experimental and quantitative lenses, examining syntactic constraints in heritage speakers' language production. His work interrogates phenomena like preposition stranding, adverb placement, and inalienable possession while addressing methodological challenges in bilingualism research. This interdisciplinary approach connects theoretical syntax with second language acquisition and heritage language pedagogy, emphasizing empirical validation of linguistic constraints. Analysis of his 13 publications (2013-2023) reveals consistent focus on experimental code-switching research using acceptability judgments and corpus methods. Key trends include systematic investigation of syntactic boundaries in bilingual speech, methodological innovations in data collection, and expansion into language pedagogy through studies of social media integration and writing assessment. His work demonstrates strong alignment with contemporary debates in bilingual syntax while maintaining practical relevance for heritage language education. No scientific awards or fellowships were documented in the source material. Dr. Koronkiewicz teaches across the curriculum from first-year language courses to graduate seminars in bilingualism, syntax, and second language teaching methods. While departmental highlights reference French PhD students (Awodirepo, Lambon, Dafong), no specific advisees in Spanish linguistics are identified. The text contains no mention of grant funding or research team leadership. No dedicated laboratories or research collectives are associated with his profile in the available documentation.

Barb CutlerView profile

Associate Professor

• Computer Graphics
• Interactive Visualization
• Computational Geometry
• +3 more

Barb Cutler is an Associate Professor in the Computer Science Department at Rensselaer Polytechnic Institute (RPI) and an affiliated faculty member at EMPAC (Experimental Media and Performing Arts Center). She specializes in computer graphics, interactive visualization, computational geometry, and open-source educational software. Previously, she was a student and Post-Doctoral Lecturer at MIT's Department of Electrical Engineering and Computer Science. Education: PhD in Electrical Engineering and Computer Science, MIT, August 2003 MEng in Electrical Engineering and Computer Science, MIT, June 1999 Research Interests: Her research spans computer graphics , interactive visualization , computational geometry , and the development of open-source educational tools . She has made significant contributions to architectural daylighting design, spatially augmented reality, and procedural modeling. Her work often integrates advanced visualization techniques with practical applications in education and architecture. Scientific Awards: NSF Early CAREER Award (2009) Rensselaer School of Science Outstanding Teaching Award (2017) Rensselaer Trustees' Outstanding Teacher Award (2019) Teaching & Advising: Barb Cutler has taught a wide range of courses including Data Structures, Advanced Computer Graphics, Interactive Visualization, and Computational Geometry. She has advised numerous PhD and MS students, many of whom have gone on to positions at leading companies and institutions. She is currently advising Evan Maicus, a PhD student in Computer Science. Lab & Projects: She leads the development of Submitty , an open-source homework submission, autograding, and TA grading system used widely in computer science education. Her lab focuses on innovative educational technologies and advanced visualization systems.

Alex WhiteView profile

Senior Lecturer

• Thermofluids
• Two-Phase Flow
• Thermodynamics
• +6 more

Dr. Alex White is a Senior Lecturer in Thermofluids at the Department of Engineering, Cambridge University, and a Fellow and Director of Studies at Peterhouse. He earned his undergraduate and PhD degrees from King's College, Cambridge, and conducted postdoctoral research in Cambridge, Lyon, and Toulouse before returning to Cambridge in 2000 as part of the Energy Group. His research focuses on two-phase flow (vapour-droplet flows), thermodynamics of power generation, Computational Fluid Dynamics (CFD), and heat pumps. His work includes theoretical and numerical studies on warm dense matter, electron transport, and energy storage systems like pumped thermal and compressed air storage. Recent publications emphasize warm dense matter physics, inertial confinement fusion, and thermal energy storage innovations. His theoretical analyses and simulations span high-energy-density plasmas, nonlocal electron stopping power, and hybrid energy systems. While no scientific awards are documented, his contributions to thermofluids and extreme condition physics are significant.