جست‌وجوی استاد و پژوهشگر

Byungwoon Parkمشاهده پروفایل

استاد

• Global Navigation Satellite System (GNSS)
• Real Time Kinematics (RTK)
• Smartphone Sensor Integration
• +۵ مورد دیگر

Byungwoon Park is a Professor in the Department of Aerospace Engineering at Sejong University, specializing in Global Navigation Satellite Systems (GNSS) and precision positioning technologies. His research focuses on advancing navigation systems through innovations in Real Time Kinematics (RTK), smartphone sensor integration, and aviation applications. Professor Park's primary research interests include Global Navigation Satellite System (GNSS), Real Time Kinematics (RTK), smartphone sensor integration, aviation navigation, and urban positioning systems. His work has significantly contributed to improving positioning accuracy in challenging environments such as urban canyons and deep urban areas. He has developed techniques for achieving sub-meter accuracy in smartphone positioning and has made substantial contributions to international GNSS standardization efforts. His recent research has focused on multi-constellation GNSS integration, lunar navigation systems, tropospheric error modeling using LEO satellites, and advanced smartphone positioning techniques. Professor Park has successfully implemented methods to achieve 1m horizontal accuracy in Android smartphone positioning using SFMC SBAS and has developed Compact Network RTK technology that reduces bandwidth requirements for GPS correction in 100x100 km areas to 700bps. 'Google Smartphone Decimeter Challenge 2022' Gold Medal Third Place Winner of the Smartphone Decimeter Challenge (2024) Professor Park leads the Navigation Systems Laboratory at Sejong University, which conducts research on various navigation systems including GNSS. His work spans theoretical research, practical implementation, and industry collaboration, with numerous publications in prestigious journals and conference proceedings. He has advised multiple graduate students and has been actively involved in both domestic and international research collaborations focused on advancing navigation technologies.

• Indoor Positioning
• Mobile Computing
• Context-aware Computing
• +۷ مورد دیگر

Adriano Jorge Cardoso Moreira is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, Universidade do Minho, Portugal. He is also a Senior Researcher at the Algoritmi Research Centre and Scientific Coordinator of the Urban and Mobile Computing department at Centro de Computação Gráfica. His research focuses on indoor positioning , mobile and context-aware computing , urban computing , and simulation of wireless networks . Research Interests : Indoor Positioning, Mobile Computing, Urban Mobility, Sensor Networks, Wi-Fi and UWB Localization, Smart Cities. Leadership : Coordinated the Computer Communications and Pervasive Media Group (2008-2016), Scientific Committee member (Director of MAP-tele PhD program in multiple terms), and leads the Master in Telecommunications and Informatics since 2021. Publications : Over 100 papers, including IEEE Transactions and Sensors journal articles, with an h-index of 23 and 2136 citations. Awards : First and second prizes in EvAAL-ETRI Indoor Localization Competitions (2015, 2016, 2017).

Dubravko Radicمشاهده پروفایل

استاد

• Service Management
• Price Management
• Applied Microeconometrics
• +۵ مورد دیگر

Dubravko Radic serves as Professor of Service Management at the University of Leipzig's Faculty of Business and Economics since 2009, while simultaneously holding the position of Deputy Head of the Price and Service Management group at the Fraunhofer Center for International Management and Knowledge Economics IMW since 2013. His academic career spans multiple institutions including the University of Wuppertal where he completed his habilitation, and the University of Frankfurt am Main where he earned his doctorate in statistics and econometrics. Doctorate (Dr. rer. pol. summa cum laude): Johann Wolfgang Goethe-Universität Frankfurt a.M. (2004) Habilitation: Bergische Universität Wuppertal (2009) Diplom-Volkswirt: Johann Wolfgang Goethe-Universität Frankfurt a.M. (1999) Research Stay: University of California Davis (2008) Professor Radic's research centers on the intersection of empirical methods and business management, with particular emphasis on service pricing modeling, applied microeconometrics, and social interactions in service contexts. His work bridges theoretical econometric approaches with practical business applications, especially in the healthcare sector where he has led multiple Fraunhofer IMW projects including ASARob, NurMut, and ATMoSPHÄRE. His research methodology combines quantitative modeling with real-world case studies to address strategic and operational decisions in service organizations. His recent publications demonstrate a consistent focus on discrete choice modeling, game theory applications in marketing, and service innovation frameworks. The 2025 paper "Discrete Games in Marketing Research" presented at the Global Marketing Conference in Hong Kong exemplifies his approach of applying advanced econometric techniques to practical marketing problems, particularly in digital service contexts. His work shows an evolving trajectory from foundational service management concepts toward increasingly sophisticated modeling of strategic interactions in service markets. Professor Radic has extensive experience advising major corporations including Metro AG, Lilly Deutschland, IMS Health, Berlin Chemie, and Augustinum gGmbH. His practical projects at Fraunhofer IMW focus on translating academic research into actionable business solutions, particularly in healthcare digitization and service innovation. He has led the TRAIN@MINE project developing training tools for Vietnam's mining sector and contributed to studies on Big Data applications in health insurance. At the University of Leipzig, he leads research activities through the Institute for Service and Relationship Management, supervising multiple research projects that connect academic inquiry with industry applications. His team collaborates with international partners including the University of California Davis, University of Maryland, Northwestern University, and the Technion Israel Institute of Technology, creating a robust research ecosystem focused on service management innovation.

Saleh Javadiمشاهده پروفایل

مدرس ارشد

• Systems engineering
• Signal processing
• Machine learning
• +۱ مورد دیگر

Saleh Javadi is a Senior Lecturer at the Department of Mathematics and Natural Sciences at Blekinge Institute of Technology (BTH) in Karlskrona, Sweden. He is actively engaged in research and teaching within the field of systems engineering. His educational background includes: B.Sc. in Electrical-Control Engineering from Amirkabir University of Technology (2009) M.Sc. in Electrical, Electronic and Systems Engineering from The National University of Malaysia (2013) Ph.D. in Systems Engineering from Blekinge Institute of Technology (BTH) (2021) Saleh Javadi's research focuses on signal processing, machine learning, and computer vision , with applications spanning remote sensing, intelligent transportation systems, and AI-driven industrial optimization. His work bridges theoretical advancements with practical implementations, particularly in SAR imagery analysis, drone-based agricultural monitoring, and traffic surveillance systems. His recent publications demonstrate a strong focus on remote sensing technologies, particularly Synthetic Aperture Radar (SAR) image processing and analysis. There's a clear trend toward applying machine learning techniques to solve complex problems in aerial and satellite imagery, traffic monitoring, and agricultural applications. His research shows interdisciplinary connections between computer vision, signal processing, and practical engineering applications. Saleh Javadi has received significant recognition for his innovative work: Innovator of the Year award (SKAPA – Innovation Prize in Memory of Alfred Nobel) in Blekinge for innovative efforts in optimizing and reducing energy consumption in industries by using artificial intelligence ÅForsk Entrepreneur's prize at the Swedish Innovation Council Day – Swedish Incubators & Science Park's annual conference in May 2019 Dr. Javadi is involved in practical applications of his research through projects such as "Artificiell intelligens AI kan reducera ogräsfrön i utsäde" (ongoing) and "Bekämpa Renkavle med hjälp av drönare och Artificiell Intelligens (AI)" (completed). His work demonstrates a strong commitment to translating academic research into real-world solutions that address industrial and environmental challenges. His research appears to be conducted within a collaborative framework, working with colleagues on drone technology, SAR image analysis, and AI applications across multiple domains including agriculture, maritime monitoring, and transportation systems.

Jukka K Nurminenمشاهده پروفایل

استاد

• Efficient Software Systems
• Energy-Efficient Software
• Mobile Peer-to-Peer
• +۶ مورد دیگر

Jukka K Nurminen is a Professor of Computer Science at the University of Helsinki (since 2019) and a Research Professor at VTT. He leads the Empirical Software Engineering research group and supervises doctoral students in the Doctoral Programme in Computer Science. His career spans academia and industry, including roles as Adjunct Professor at Aalto University (part-time, 2016-2021) and Principal Scientist at VTT (2016-2019). His research focuses on efficient software systems , particularly energy-efficient software , mobile cloud computing , and data-intensive systems . Recent work addresses AI system testing , ethical decision-making in software , and quantum computing software . His publications highlight trends in quantum algorithms , machine learning for edge computing , and ethical AI . Best Paper Award (2023) Nurminen has supervised 6 PhD theses, 48 MSc theses, and 21 BSc theses. He has secured over 1 MEUR in research funding, including projects like FrameQ and EM4QS for quantum middleware. His teaching innovations include hackathons and summer schools, with excellence recognized in tenure-track evaluation (2018) and adjunct professorship (2015).

Elizabeth Mayer-Davisمشاهده پروفایل

استاد

• Diabetes Epidemiology
• Type 1 Diabetes
• Type 2 Diabetes
• +۶ مورد دیگر

Elizabeth "Beth" Mayer-Davis is the Dean of The Graduate School and the Cary C. Boshamer Distinguished Professor of Nutrition and Medicine at the University of North Carolina at Chapel Hill. She holds joint appointments in the Gillings School of Global Public Health and the School of Medicine, where she previously served as Chair of the Department of Nutrition for eight years. As Dean of The Graduate School, she oversees more than 160 degree-offering programs and over 10,000 graduate students at UNC Chapel Hill. Dr. Mayer-Davis earned her educational credentials from prestigious institutions: Ph.D. in Epidemiology from the University of California, Berkeley (1992) Master of Public Health with honors from the University of Colorado School of Medicine (1986) B.S. in Dietetics from the University of Tennessee (1980) Dr. Mayer-Davis is an internationally recognized expert in diabetes research with a career focused on the epidemiology and natural history of type 1 and type 2 diabetes in children and adults. Her research addresses how nutrition impacts diabetes risk and complications, with particular emphasis on culturally and regionally diverse populations. Her primary current focus is on type 1 diabetes in youth and young adults, examining diabetes self-management and energy balance/weight management for individuals with type 1 diabetes. She employs innovative methodologies including large epidemiological studies, clinical trials, and adaptive intervention designs, often incorporating communication technologies to enhance patient-centered care. Analysis of Dr. Mayer-Davis's recent publications reveals consistent focus on diabetes epidemiology across diverse populations, with particular attention to youth-onset diabetes, health disparities by race and ethnicity, and innovative interventions for diabetes management. Her work frequently addresses the intersection of obesity and diabetes, particularly in type 1 diabetes where this comorbidity has been historically understudied. The research demonstrates methodological sophistication through the use of advanced statistical techniques, continuous glucose monitoring data, and adaptive trial designs to address complex questions in diabetes care. Dr. Mayer-Davis has received numerous professional honors and appointments: Cary C. Boshamer Distinguished Professorship at UNC President for Health Care and Education for the American Diabetes Association (2011) Member of the 2020 Dietary Guidelines Advisory Committee Appointee to President Obama's Advisory Group on Prevention, Health Promotion and Integrative and Public Health Co-director of the Nutrition Obesity Research Center funded by NIH Throughout her career, Dr. Mayer-Davis has been deeply committed to mentoring the next generation of researchers, having supervised dozens of graduate students. She has secured over $45 million in research funding, including as Principal Investigator for the Carolina site of the landmark SEARCH for Diabetes in Youth study and the Nutrition for Precision Health Consortium initiative. Her leadership extends to national scientific committees and professional organizations, where she has shaped diabetes research and care standards. She is particularly dedicated to promoting diversity, equity, and inclusion in graduate education and research. Dr. Mayer-Davis co-directs the UNC Nutrition Obesity Research Center, a NIH-funded center that has received continued support through multiple funding cycles. She also leads the Carolina site of the SEARCH for Diabetes in Youth study, a large multi-center national study that has been tracking diabetes incidence and trends in youth for over two decades. Her research team includes epidemiologists, nutritionists, statisticians, and clinicians working collaboratively to address critical questions in diabetes prevention and management.

Caroline Fordمشاهده پروفایل

استاد

• Cancer Cell Biology
• Gynaecological Cancer
• Ovarian Cancer
• +۶ مورد دیگر

Professor Caroline Ford is a leading researcher at the University of New South Wales, serving within the School of Women's and Children's Health and the Adult Cancer Program at the Lowy Cancer Research Centre. She leads the Gynaecological Cancer Research Group (GCRG), which focuses on understanding the development, spread, and treatment of gynaecological cancers, with particular emphasis on ovarian and endometrial cancer. Established in 2010 after international postdoctoral fellowships at the University of Toronto and Lund University, her laboratory has maintained consistent competitive research funding for over 13 years. Her research spans Cancer Cell Biology with specific expertise in ovarian cancer, endometrial cancer, endometriosis, metastasis mechanisms, ascites biology, and cell-free DNA analysis. Major projects include developing an early detection test for ovarian cancer and identifying key targets for anti-metastatic therapies. The GCRG works closely with clinicians at the Royal Hospital for Women and conducts studies involving biospecimen collection from women with gynaecological cancers. Professor Ford has pioneered innovative in vitro organotypic models of ovarian and endometrial cancer for pre-clinical drug testing. Her publication record shows consistent focus on ROR1/ROR2 receptors, Wnt signaling pathways, and cell-free DNA applications in cancer diagnostics. Recent work has emphasized liquid biopsy techniques using ascites fluid, 3D cancer models, and computational approaches to predict treatment outcomes. She has published extensively on the molecular mechanisms of gynaecological cancers and their clinical applications. Superstar of STEM (2017) Women's Agenda Award for Female Leader in Science, Medicine & Health (2018) Professor Ford actively supervises PhD students including Kate Gunther and Bonnie Werner, and co-supervises Zoe Phan. She convenes UNSW's General Education course on Personalised Medicine and developed Australia's first MOOC on this subject. She serves as Chair of the ANZGOG Uterine Tumour Type Working Group and Research Chair of Cure Cancer Australia. Her community engagement includes founding the STEMMinist Book Club and leading the 'Ovaries. Talk About Them' campaign to raise awareness about ovarian cancer.

Haiyang Aiمشاهده پروفایل

دانشیار

• Corpus Linguistics
• Natural Language Processing
• Second Language Acquisition
• +۳ مورد دیگر

Haiyang Ai is an Associate Professor in the Literacy and Second Language Studies program at the University of Cincinnati's School of Education. His research applies corpus linguistics and natural language processing to investigate second language acquisition, writing complexity, and bilingual language processing. His educational background includes a Ph.D. in Applied Linguistics from The Pennsylvania State University (2015), an M.A. in Linguistics & Applied Linguistics from the University of Chinese Academy of Sciences (2006), and a B.A. in English from Shaanxi Normal University (2003). Dr. Ai's research spans corpus linguistics, natural language processing, second language acquisition, and computer-assisted language learning. He specializes in compiling and analyzing native and learner corpora to develop intelligent language learning systems and investigate lexical/syntactic complexity in L2 writing. His methodological approach integrates computational tools with theoretical linguistics to address practical language teaching challenges. His recent publications (2019-2023) demonstrate consistent focus on lexical bundles in professional communication, automating complexity measurement in Chinese, speech perception mechanisms in bilinguals, and grammatical puzzles in English learning. These works bridge corpus-based analysis with psycholinguistic experimentation across diverse subfields including morphosyntax, pragmatic competence, and cognitive processing in L2 acquisition. Dr. Ai has secured multiple University of Cincinnati grants including three CECH Faculty Development Grants ($2500 in 2017-2018 for verb-noun collocation research, $2000 in 2016-2017 for corrective feedback tools) and the NCFDD Faculty Success Program ($3250 in 2017), all supporting his development of computational language learning resources.

Gabriella Casalinoمشاهده پروفایل

استادیار

• Computational Intelligence
• eHealth
• Data Stream Mining
• +۵ مورد دیگر

Gabriella Casalino is an Assistant Professor at the University of Bari Aldo Moro, Department of Computer Science, and a key researcher at CILAB - Computational Intelligence Lab. Her work focuses on Computational Intelligence methods for interpretable data analysis, particularly in eHealth, Data Stream Mining, and eXplainable Artificial Intelligence (XAI) within medical and educational domains. She has contributed to innovative approaches in smartphone-based health monitoring, fuzzy logic applications, and remote vital sign detection via photoplethysmography. Education : Ph.D. in Computer Science, with advanced training at institutions like Universitat de Girona and Université de Mons. Research Trends : Recent publications highlight applications of evolving granular computing, neuro-fuzzy systems, and explainable AI in hypertension prediction, bipolar disorder monitoring, and educational data analysis. Key subfields include remote health monitoring, medical data streams, and hybrid AI models. Grants : Research funded by AIRC (Italian Cancer Research Foundation), focusing on computational methods for healthcare challenges. Labs & Collaborations : Active in CILAB, collaborating on projects involving mHealth solutions, cardiovascular risk assessment, and intelligent educational systems.

• Multi-agent Systems
• Sustainability
• Intelligent Transport Systems
• +۳ مورد دیگر

Dr. Fatemeh Golpayegani is an Assistant Professor at the School of Computer Science, University College Dublin. She leads the Multi-agent Systems and Sustainable Solutions lab (MAS3.ucd.ie) and has secured over €1.5M in research grants. Her academic roles include BSc Stage 4 Coordinator and Chair of Women@CS (2012–2023). She holds a PhD from Trinity College Dublin (2018) and professional qualifications in university teaching from UCD. Education: PhD in Computer Science, Trinity College Dublin (2018) Professional Diploma in University Teaching & Learning, University College Dublin (2024) Professional Certificate in University Teaching & Learning, University College Dublin (2023) Research Interests: Focuses on multi-agent systems, sustainability, intelligent transport systems, autonomous decision-making, and edge computing. Her work integrates reinforcement learning, ontology-based models, and adaptive systems to address challenges in smart cities, energy grids, and infrastructure monitoring. Grants & Projects: Principal Investigator for the EU-funded RE-ROUTE project (€multi-million, 2023–2026) on intelligent transport networks. Co-Principal Investigator for the Augmented CCAM project on connected/cooperative autonomous mobility. Funded investigator in SFI centres (I-Form, CONNECT, Biorbic). Awards & Recognition: Researcher of the Year Award (2022) Member of Young Academy of Ireland (2023) Teaching & Mentoring: Coordinates modules in algorithms, Java programming, and operating systems. Supervises PhD students in SFI centres and mentors postdoctoral researchers. Active in promoting EDI as Chair of d-real doctoral training centre. Labs & Collaborations: Leads the MAS3 lab, collaborating on projects like CAPTAIN CARBON (sustainable transport gamification) and ontology-enhanced traffic signal control systems.

Craig Hancockمشاهده پروفایل

استاد پژوهشی

• Geospatial Engineering
• Structural Health Monitoring
• Global Navigation Satellite Systems (GNSS)
• +۳ مورد دیگر

Dr. Craig Hancock is a Research Professor in Geospatial Engineering with 15 years of research experience in Surveying and Geodesy. His expertise spans GNSS error mitigation, structural monitoring, and geospatial techniques for digital construction. He has supervised 10 PhD students and published over 80 academic papers. Education: BSc and PhD in Surveying/Geomatics Key Projects: Principal Investigator for projects on GNSS error mitigation, structural health monitoring, and marine economy technology. His research focuses on three core areas: GNSS error categorization and mitigation (particularly ionospheric effects), structural and environmental change monitoring, and geospatial data acquisition for BIM and digital construction. Recent work includes improving 3D modeling accuracy, UAV-based GNSS spoofing detection, and BIM-enabled facility management in healthcare infrastructure. His articles explore topics like sensor optimization, structural dynamics, and geospatial data fusion. Grants include £150k for bridge deformation studies and £9k for ionospheric error analysis. He actively contributes to teaching and enterprise initiatives, integrating geospatial technologies with industry needs.

• Information Retrieval
• Search Engines
• Human-Computer Interaction for Information Retrieval
• +۳ مورد دیگر

Mark D. Smucker is a Professor in the Department of Management Science and Engineering at the University of Waterloo, cross-appointed with the David R. Cheriton School of Computer Science (Faculty of Mathematics). His research focuses on interactive information retrieval systems, including search engines and recommendation systems, aiming to enhance evaluation methods for better prediction of human search performance. He co-organized the TREC Health Misinformation Track (2019–2022) and currently co-leads the TREC DRAGUN Track, addressing health misinformation and trustworthiness assessment in news. Education: PhD (Computer Science, UMass Amherst, 2008), MSc (Computer Science, UW-Madison, 1996), BSc (Physics & Computer Science, Iowa State, 1994). Research interests include design/analysis of interactive IR systems, evaluation frameworks, and human-computer interaction. He has been recognized with the ACM SIGIR 2012 Best Paper Award and teaching excellence awards from the University of Waterloo. Teaching includes courses like Search Engines (MSCI/MSE 541/720) and Databases/Software Design (MSCI 245). Active in organizing TREC tracks and publishing over 50 peer-reviewed articles.

Jordan Cheerمشاهده پروفایل

استاد

• Active Noise Control
• Active Vibration Control
• Smart Structures for Noise and Vibration Control
• +۳ مورد دیگر

Professor Jordan Cheer holds a Royal Academy of Engineering Research Chair in Smart Acoustic Control Technologies at the University of Southampton's Institute of Sound and Vibration Research (ISVR). His research focuses on active control of noise and vibration, including smart structures and metamaterials. He is an Associate Editor for Journal of the Acoustical Society of America and Subject Editor for Journal of Sound and Vibration . Education: BMus (Tonmeister) in Music and Sound Recording, University of Surrey (2008) MSc in Sound and Vibration, ISVR, University of Southampton (2009) PhD in Active Control of Automobile Cabin Acoustics, ISVR, University of Southampton (2012) Research Interests: Active Noise/Vibration Control, Smart Structures, Acoustic Black Holes, and Metamaterials. Current projects include the BAE Systems-funded Smart Acoustic Control Technologies Chair and the IN-NOVA MSCA Doctoral Network. Recent Work Trends: Publications emphasize neural network controllers, head-tracking systems, and metamaterial applications. Patents focus on vibration damping and acoustic control devices. Awards: Royal Academy of Engineering Research Chair (2024) Grants & Labs: Leads projects funded by EPSRC, MOD, and industry partners. Collaborates with teams like the Southampton Marine and Maritime Institute and the Centre for Defence and Security Research.

Marc Olanoمشاهده پروفایل

دانشیار

• Computer Graphics
• Real-Time Rendering
• Graphics Hardware
• +۴ مورد دیگر

Marc Olano is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC), and serves as the Associate Dean of Academic Programs and Learning in the College of Engineering and Information Technology. He leads the Computer Science Game Development Track and co-directs the VANGOGH lab. His research focuses on interactive 3D computer graphics, programmable shading, graphics hardware, and surface appearance modeling, with contributions to foundational graphics technologies like procedural shading and normal mapping. Research Interests: Olano’s work spans real-time rendering, GPU algorithms, texture compression, and procedural shading. He has pioneered techniques such as LEAN mapping and variable bitrate texture compression, significantly impacting game development and real-time graphics. His research often explores the intersection of hardware capabilities and algorithmic innovation, with applications in medical visualization, visualization of scientific data, and haptic interaction. Key Contributions: Olano’s accomplishments include pioneering procedural shading on graphics hardware, developing homogeneous rendering techniques, and advancing normal mapping. His work on GPU-based curvature estimation and BT volumes for volume rendering exemplifies his focus on leveraging GPU parallelism for real-time visualization challenges. He has also contributed to standards in shading languages and GPU programming. Teaching & Mentorship: Olano teaches courses in computer graphics, game development, and advanced computer architecture. He mentors students in independent studies and has advised numerous MS theses exploring topics like GPU random number generation, volume rendering, and soft shadow algorithms. His students’ work often bridges theoretical research and practical GPU implementations. Labs & Projects: The VANGOGH lab under his co-direction focuses on advanced visualization and graphics research, including real-time rendering techniques, GPU algorithms, and interactive data visualization. His research collaborations span industry partners like Firaxis Games, contributing to titles such as Civilization V through texture compression innovations.

Yelva Roustanمشاهده پروفایل

مدرس

• Air Quality Modeling
• Atmospheric Chemistry
• Pollutant Deposition
• +۳ مورد دیگر

Yelva Roustan is a Lecturer at CEREA (joint laboratory between École Nationale des Ponts et Chaussées and EDF R&D) since 2005, specializing in air quality modeling . Her research focuses on multiscale modeling approaches, source-concentration relationships, and pollutant deposition processes. She teaches at the National School of Bridges and Roads, sharing knowledge from her research in atmospheric transport and environmental science. Her work addresses urban pollution challenges, including the impact of low-emission vehicles on air quality, urban tree effects, and pollutant dynamics in street networks. She has developed the MUNICH street-network model and contributed to projects like EURODELTA for multi-pollutant analysis across Europe. Her methods integrate data assimilation, inverse modeling, and Bayesian techniques to improve emission source reconstruction and model accuracy. Key contributions include studies on radioactive release scenarios (e.g., Fukushima, 106Ru event) and urban infrastructure impacts on pollution. Her research bridges atmospheric science with engineering solutions for sustainable urban environments. She holds a PhD in Environmental Engineering from École Nationale des Ponts et Chaussées (2005) and an HDR in Numerical Modeling of Atmospheric Pollutants (2020).