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Lotty HooftView profile

Professor

• Evidence-Based Medicine
• Systematic Reviews
• Diagnostic Test Accuracy
• +3 more

Lotty Hooft is a Full Professor at Utrecht University, affiliated with the University Medical Center Utrecht (UMC Utrecht), where she contributes to strategic research programs in Child Health and Methodology development. She holds key external roles as a member of the independent advisory committee for the Advenzo funding scheme at Zorginstituut and the Cochrane Council and Methods Groups for Prognosis, Screening, and Diagnostic Tests. Her research focuses on Evidence-Based Medicine, specializing in Systematic Reviews and Diagnostic Test Accuracy, with clinical applications in Paediatric and Perinatal Medicine. She investigates methodological challenges such as bias in diagnostic studies using expert panels, stakeholder engagement in paediatric trial reporting, and neonatal outcomes in preterm infants. Her work bridges rigorous methodology with real-world clinical impact across diverse medical domains. Analysis of her 2025 publications reveals a cohesive trajectory in advancing diagnostic methodology—particularly in reference standard development and bias mitigation—while expanding into patient-centered paediatric research and neonatal care. Her contributions to sleep medicine diagnostics and workforce well-being further demonstrate cross-disciplinary relevance in improving healthcare systems and clinical practice. No scientific awards were documented in the provided materials. Professor Hooft actively shapes research funding through her Advenzo committee role, evaluating project proposals and subsidy applications, though specific grant awards or student mentorship details remain unreported. Her Cochrane involvement underscores leadership in global evidence synthesis standards, yet no laboratory or dedicated research team structure is specified in the current data.

• Superconducting Logic
• Bio-based Architectures
• Novel Computing Mediums
• +6 more

Dr. Jennifer Volk is an Assistant Professor at the College of Engineering, University of Wisconsin-Madison, specializing in Electrical & Computer Engineering. Her research focuses on leveraging novel technologies like superconductor electronics and photonics to create efficient systems for datacenters, neuromorphic computing, quantum computing, and space/sensing applications. She employs a holistic approach spanning circuit design, materials science, and computer microarchitecture. PhD (2024), University of California, Santa Barbara BS (2016), University of California, Santa Cruz Her research interests include superconducting logic , bio-based architectures , and novel computing mediums , emphasizing co-optimization of logic and circuit blocks. Her work develops design abstractions to simplify adoption of unconventional technologies. Dr. Volk's publications demonstrate expertise in superconducting circuit design, radiation-hardened CMOS for particle physics, and photonic materials. She has received numerous awards including the 2025 John D. Wiley Assistant Professorship and IEEE fellowships in applied superconductivity. 2025 John D. Wiley Assistant Professorship 2024 UC Santa Barbara President's Dissertation Year Fellowship 2023 IEEE CSC Graduate Study Fellowship in Applied Superconductivity 2022 IEEE Micro Top Picks Honorable Mention 2021 IEEE Micro Top Picks She teaches E C E 340 - Electronic Circuits I (Spring 2025). Her work bridges materials science, circuit design, and system architecture to enable next-generation computing platforms.

Ruohui ChenView profile

Assistant Professor

• Biostatistics
• Data Science
• Large-scale Healthcare Data Analysis
• +13 more

Ruohui Chen, PhD, is an Assistant Professor in the Department of Preventive Medicine (Biostatistics and Informatics) at Northwestern University's Feinberg School of Medicine, where he develops advanced biostatistical methodologies and leads collaborative research in oncology and chronic disease. His educational background includes: PhD from University of California San Diego (2023) Dr. Chen specializes in large-scale healthcare data analysis, functional/longitudinal data methods, predictive modeling, and causal inference. His collaborative work addresses cancer treatment disparities, Alzheimer's disease mechanisms, kidney disease progression, and activity pattern impacts on health outcomes through rigorous statistical frameworks. His 2025 publications demonstrate cross-disciplinary applications: analyzing socioeconomic factors in bone cancer prognosis, testing physical activity interventions for cardiovascular health in postmenopausal women, evaluating novel lymphoma immunotherapies, and optimizing aspirin dosing for colorectal cancer prevention. These studies consistently bridge methodological innovation with clinical oncology and public health challenges. No major scientific awards are documented in the current profile. Professional activities include editorial board service for Taylor & Francis (2024-present) and American Statistical Association membership (2016-present), with prior leadership as UC San Diego chapter president (2020-2023). Research grant details and student mentorship information are not provided. Dr. Chen operates within collaborative oncology research networks at Feinberg, though specific laboratory structures are not detailed in available materials.

Shauna C. HenleyView profile

Researcher

• Food Safety
• Nutrition
• Food Preservation
• +4 more

Dr. Shauna C. Henley is a Senior Agent and Affiliate Agent in the Department of Nutrition & Food Science at the University of Maryland , affiliated with the College of Agriculture and Natural Resources . She specializes in food safety education , nutrition , and consumer behavior research , with a focus on improving safe food handling practices across the supply chain. Dr. Henley earned her B.S. in Biology from Muhlenberg College, an M.S. in Nutrition & Food Science from the University of Vermont, and a Ph.D. in Biology with a concentration in Human Nutrition from Drexel University. Her research spans food safety education , behavioral interventions , and community-based extension programs , including workshops on boiling-water-bath canning and FSMA compliance for farmers and food entrepreneurs. Her 15 most recent publications (2017-2025) address critical food safety issues, including home canning practices , Salmonella prevention , and consumer education strategies . She has received recognition such as the University of Maryland Extension Excellence Award (2025) and the Best in Class award from the Association for Communication Excellence (2025) for ProduceTRAINer.org. Dr. Henley has secured multiple grants, including a USDA-FSOP grant for food safety training and a McCormick Science Institute grant for herb and spice safety research. She leads initiatives like the Food Safety Action Team and contributes to national food safety campaigns , such as the widely recognized ' Don't Wash Your Chicken! ' project.

Cristian Gómez CanelaView profile

Professor

• Environmental Toxicology
• Neurotoxicology
• Analytical Chemistry
• +5 more

Cristian Gómez Canela is a Full Professor in the Department of Analytical and Applied Chemistry at IQS School of Engineering (IQS - Institut Químic de Sarrià), specializing in environmental analytical chemistry with a focus on neurotoxicology and aquatic toxicology. He leads the Environmental Process Engineering and Simulation Group and maintains an active research profile with significant h-index metrics reflecting substantial scholarly impact. His research interests center on environmental toxicology, particularly neurotoxicology of pharmaceuticals and other contaminants in aquatic systems. Using advanced analytical techniques including liquid chromatography and tandem mass spectrometry, his work examines the effects of neuroactive compounds on model organisms like zebrafish and Daphnia magna . His fingerprint reveals strong expertise in neurotransmitter analysis (66%), Daphnia magna toxicology (64%), serotonin-related research (27%), and neurotoxicity mechanisms (21%). His publication record shows consistent productivity with 92 scientific outputs, demonstrating increasing research activity from 2011 to the present, with particularly strong output in recent years (15 publications in 2024 alone). His work spans environmental chemistry, toxicology, and analytical methodology development, with a clear trajectory toward understanding the neurological impacts of environmental contaminants. Zebra Fish neurotoxicology (100%) Neurotransmitter analysis (66%) Daphnia magna toxicology (64%) Behavioral neuroscience (33%) Serotonin-related research (27%) Liquid chromatography methods (27%) Dr. Gómez Canela actively supervises doctoral research through the FI-2025 Joan Oró program and leads multiple significant research projects including CHEMIPARK (as Principal Investigator) and the GESPA environmental process engineering group. His current projects extend through 2028, indicating ongoing research activity and leadership in his field.

John ValasekView profile

Professor

• Autonomous Systems
• Nonlinear Control
• Cyber-Physical Systems
• +5 more

John Valasek is a Professor in the Department of Aerospace Engineering at Texas A&M University, holding the Drs. L. Diane '88 and John E. Hurtado '91 Professorship. He directs the Vehicle Systems & Control Laboratory (VSCL) and serves as Site Director for the NSF Center for Autonomous Air Mobility and Sensing (CAAMS) and the FAA Center for General Aviation Research (PEGASAS). His research focuses on autonomous control systems, UAV navigation, and cybersecurity for aerospace vehicles. Valasek earned his Ph.D., M.S., and B.S. in Aerospace Engineering from the University of Kansas (1995) and California State Polytechnic University (1986). Education: Ph.D., Aerospace Engineering, University of Kansas - 1995 M.S., Aerospace Engineering, University of Kansas - 1990 B.S., Aerospace Engineering, California State Polytechnic University - 1986 Research Interests: Autonomous systems, nonlinear control, vision-based navigation, UAV control, bio-nano materials control, and aerospace systems engineering. Key Contributions: Over 100 invited lectures/seminars, leadership in NSF-funded research centers, and development of advanced control algorithms for aerospace systems. Notable publications include work on reinforcement learning for autonomous systems and real-time system identification for UAS. Awards: John Leland Atwood Award (2015) McElmurry Outstanding Teaching Award (2001, 2004, 2014) Engineering Hall of Fame inductee (2019) Advising & Grants: Advised over 60 graduate students, including recent NSF GRFP winner Evelyn Madewell. PI on multi-million-dollar grants, including the NSF CAAMS project and Air Force-funded research on autonomous systems. Labs & Teams: Directs the Vehicle Systems & Control Laboratory (VSCL), focusing on low-cost attritable aircraft technology and autonomy. Collaborates with industry partners like Stratolaunch and VectorNav through CAAMS initiatives.

Sarah CHAN Hian MayView profile

Research Fellow

• Environmental Psychology
• Computational Social Science
• Urban Sustainability
• +4 more

Sarah CHAN Hian May is a Research Fellow at the Lee Kuan Yew Centre for Innovative Cities (LKYCIC), Singapore University of Technology and Design (SUTD), under the Chan Heng Chee Research Fellowship. She holds a Ph.D. in Interdisciplinary Studies from Nanyang Technological University (NTU) and a B.A. (Hons) in Economics from NTU. Her research focuses on environmental psychology, exploring human-environment interactions across natural, built, and virtual domains. Key themes include urban sustainability, virtual reality applications, and behavioral change mechanisms to bridge environmental and technological challenges. Education Ph.D., Interdisciplinary Graduate Programme, Nanyang Technological University (2022) B.A. (Hons) in Economics, Nanyang Technological University (2017) Research Projects She collaborates with Dr. Neo Harvey on the 'Leveraging Shared Experience of Urban Heat' project, addressing climate resilience in Singapore. Her work integrates computational methods to analyze digital self-expression, emotions, and landscape perceptions. Recent studies include the impact of virtual nature on stress reduction and pro-environmental attitudes through metaverse interventions. Grants & Collaborations Recipient of Chan Heng Chee Research Fellowship Active collaborations with institutions like NTU's School of Social Sciences and interdisciplinary teams at LKYCIC Lab & Team Involvement Contributes to urban resilience and computational social science research teams, focusing on data-driven solutions for environmental and social challenges.

Graham OrmondroydView profile

Professor

• Wood Modification
• Biomaterials
• Phenolic Resin Applications
• +3 more

Graham Ormondroyd is a Professor at the School of Environmental and Natural Sciences , Bangor University , specializing in the Biocompounds department. His research focuses on innovative wood modification techniques, sustainable biomaterials, and environmental impact assessments. Current projects include scaling waste-based composites for infrastructure and developing Welsh wool applications. Collaborations span academia-industry partnerships like Bangor University and Zentia Ltd KTP. Research Trends: His 2025 publications emphasize multi-scale resin diffusion analysis and UK wood recycling frameworks, while 2024 work explores laser incising and phenolic resin-NMR interactions. Recent studies also address VOC emissions from formaldehyde-free composites. Professional Activities: He chairs academic panels (e.g., International Panel Products Symposium) and reviews publications. Projects focus on net-zero construction and climate resilience.

• Mathematical Statistics
• Applied Statistics
• Probability Theory
• +6 more

Holger Dette is a Professor and Chair Holder of Stochastics (specializing in Statistics) at the Faculty of Mathematics, Ruhr University Bochum. He leads the prominent Group Dette within the Institute of Statistics, overseeing a team of researchers, doctoral students, and administrative staff including Birgit Tormöhlen as team assistant. His research group is deeply integrated within the university's mathematical ecosystem, collaborating with other research groups across algebra, analysis, numerics, and topology. Dette's research spans mathematical statistics with strong applications in real-world problems. His primary interests include optimal experimental design, time series analysis, functional data, change point problems, nonparametric regression, biostatistics, special functions, goodness-of-fit tests, and random matrices . His work bridges theoretical statistics with practical applications, particularly evident in his collaborations with pharmaceutical giants Novartis and Bayer AG in biostatistics, as well as Quasol, a spin-off company from his statistics institute. His recent publications (2024-2025) reveal a research program increasingly focused on high-dimensional and functional data analysis, privacy-preserving statistics, and novel methodological approaches to longstanding statistical problems. Dette's work shows strong interdisciplinary connections, particularly with biomechanics (analyzing joint angles during fatigue phases) and data science (addressing challenges in the era of big data). His research group is actively involved in multiple DFG-funded projects including the newly established 'Small Data' collaborative research center (Sonderforschungsbereich 1597) and the Spatio-temporal Statistics for the Transition of Energy and Transport (Transregio 391). Dette has received significant recognition including the prestigious Humboldt Research Award . His paper 'With Great Power Come Great Side Channels: Statistical Timing Side-Channel Analyses with Bounded Type-1 Errors' achieved second place at the CSAW'24 Applied Research Competition MENA. His research group has also secured multiple significant funding awards from the German Research Foundation (DFG). As an advisor, Dette supervises numerous doctoral and master's students including Pascal Quanz, Marius Kroll, and Carina Graw. His group offers statistical consulting services for scientists and students across bachelor's, master's, and doctoral phases. The group maintains strong industrial partnerships, particularly in biostatistics applications, demonstrating Dette's commitment to translating theoretical statistics into practical solutions for real-world challenges.

Xin PengView profile

Professor

• Software Analytics
• Intelligent Software Development
• Microservice
• +4 more

Xin Peng is a Professor and Deputy Dean at the School of Computer Science, Fudan University, China. He leads the CodeWisdom research team focusing on intelligent software engineering techniques for development, maintenance, and operation of software systems. His educational background includes a PhD in Computer Science (2001-2006) and Bachelor's degree in Computer Science (1997-2001), both from Fudan University. He progressed through the academic ranks from Assistant Professor (2006-2010) to Associate Professor (2010-2015) and finally to Professor (2015-present). Professor Peng's research interests span Software Analytics, Intelligent Software Development, Microservice systems, and AIOps. His work leverages AI technologies including deep learning and knowledge graphs to develop intelligent software engineering techniques. A significant portion of his recent work focuses on applying Large Language Models to various software engineering tasks, including vulnerability detection, API usage analysis, and test automation. His publication record shows a clear trend toward increasingly sophisticated applications of AI in software engineering, with recent work heavily featuring LLMs for tasks ranging from vulnerability patch porting to resource leak detection. The research spans multiple domains including microservice systems, automotive software, and Web of Things security. Best Paper Award of ICSM 2011 ACM SIGSOFT Distinguished Paper Award of ASE 2018 and 2021 IEEE TCSE Distinguished Paper Award of ICSME 2018, 2019, and 2020 IEEE Transactions on Software Engineering Best Paper award for 2018 Professor Peng serves in numerous leadership roles including Deputy Director of CCF Technical Committee on Software Engineering, Co-Editor-in-Chief of Journal of Software: Evolution and Process, and Associate Editor for ACM Transactions on Software Engineering and Methodology. He has been actively involved in program committees for major software engineering conferences including ICSE, ASE, ESEC/FSE, and ICSME. He leads the CodeWisdom research team at Fudan University, which has developed several benchmark systems including TrainTicket for microservice research. The team's work bridges academic research with industrial applications, particularly in microservice systems analysis and intelligent software development tools.

• Organic Chemistry
• Photoredox Catalysis
• Electrochemistry
• +6 more

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.

Jan CudzikView profile

Assistant Professor

• Parametric Design
• Computation
• Generative Design
• +9 more

Jan Cudzik is an Assistant professor at the Gdańsk University of Technology's Department of Urban Architecture and Waterscapes, Faculty of Architecture. He leads the Digital Technology Laboratory and focuses on integrating computational methods with architectural design and conservation. His research spans parametric design, generative systems, artificial intelligence, and sustainable construction practices. Education details are not explicitly provided in the texts, but his academic roles indicate advanced training in architecture and engineering. Research interests include: AI-driven design processes Generative design using swarm intelligence 3D printing in construction Energy-efficient building lifecycle assessment Traditional-conservation/digital-fabrication hybrids Key publication trends emphasize: Public space sustainability (lighting, greenery) Machine learning applications in architecture Historical structure preservation He contributes to projects like ENACT 15mC, focusing on urban community development. His work bridges digital innovation with ecological and cultural heritage concerns. Labs/Teams: Director of the Digital Technology Laboratory, active in architectural education reform using AI tools.

Bruce A. MaxwellView profile

Teaching Professor

• Computer Vision
• Robotics
• Computer Graphics
• +3 more

Bruce A. Maxwell is a Teaching Professor and Assistant Director of Computing Programs at Northeastern University’s Seattle Campus, following roles as Chair of the Computer Science (CS) Department at Colby College (2013–2020) and leadership in establishing the Khoury College MS CS Align Program at the Roux Institute (2020–2022). His academic journey includes affiliations with Northeastern’s Seattle Campus and ongoing collaboration with Colby CS as a research scientist. He specializes in Computer Vision, Robotics, Computer Graphics, Game Design, and Data Analysis, with notable contributions to concussion management research through the Maine Concussion Management Initiative (MCMI), focusing on sports-related injury analysis and symptom monitoring. His research spans over two decades, with significant work in human-robot interaction, autonomous systems, and educational technology. Notable projects include developing tools for real-time shadow removal in autonomous driving contexts and analyzing cognitive outcomes in student-athletes post-concussion. Maxwell has authored over 50 peer-reviewed publications, emphasizing interdisciplinary approaches bridging computer science, sports medicine, and educational policy. Teaching innovations include integrating thematic elements (e.g., Lord of the Rings) into CS1 coursework and advocating for writing in computer science curricula. He maintains active roles in academic service, including SIGCSE conference contributions and panel discussions on gender equity in tech education. Education: Ph.D. in Robotics from Carnegie Mellon University (1996), M.Phil. in Engineering from Cambridge University (1993). Awards: Recognized for pedagogical contributions but no named awards listed in provided materials. Labs/Teams: Collaborates with the Maine Concussion Management Initiative and Khoury College’s Align Program team.

Julien DelarueView profile

Associate Professor

• Sensory Science
• Consumer Behavior
• Food Technology
• +3 more

Julien Delarue is an Associate Professor in Sensory & Consumer Science at the University of California, Davis. Formerly a Professor at AgroParisTech (Université Paris-Saclay), he specializes in sensory perception, consumer preferences, and contextual influences on food evaluation. His work integrates immersive environments and digital tools to study how context shapes hedonic measures and drives healthy/sustainable food choices. Research Focus: Delarue's studies address sensory determinants of food preferences, leveraging methods like rapid profiling and contextual testing. He explores category labels' impact on consumer expectations, sensory complexity in desserts, and the role of non-verbal evaluation (e.g., facial expressions) in assessing novel products. Leadership: He served as Chair of the French Society for Sensory Analysis (SFAS) and the European Sensory Science Society (E3S), advocating for rigorous methodologies in sensory evaluation. His interdisciplinary approach bridges food science, consumer behavior, and data science. Key Themes: Publications emphasize ecological validity in testing, sensory-led reformulation (e.g., cookies, pizzas), and the interplay between product context and perception. Recent work investigates non-dairy milk labeling, sports nutrition products, and child food preferences.

• Biostatistics
• Public Health
• Medical Imaging
• +3 more

Jingjing Zou is an Assistant Professor in Residence at the Herbert Wertheim School of Public Health & Human Longevity Science, University of California San Diego. Her research focuses on integrating statistical methodologies with medical imaging and public health challenges, particularly in cancer prevention, physical activity analysis, and radiomics. Education: PhD in Statistics, Columbia University MA in Statistics, Columbia University BS in Statistics, Peking University Research Interests: Dr. Zou's work emphasizes functional data analysis, accelerometer-based physical activity monitoring, and MRI techniques for cancer treatment evaluation. She develops statistical models to analyze longitudinal health data, with applications in cardiovascular disease prevention and oncology. Her studies often bridge clinical outcomes with advanced imaging biomarkers. Grants: NIH/NHLBI (Principal Investigator): Examining Longitudinal Changes in Accelerometer-Measured Physical Activity in Preventing Cardiovascular Disease (2024-2028) NIH R37CA249659 (Co-Investigator): Advanced diffusion MRI for cervical cancer treatment evaluation (2021-2026) NIH R01CA255780 (Co-Investigator): Whole-body radiomics for gynecologic cancers (2020-2024) Labs/Teams: Collaborates with interdisciplinary teams in radiology, oncology, and biostatistics, including co-authors like Loki Natarajan (UCSD) and Loren Mell (UCSD).