جست‌وجوی استاد و پژوهشگر

Mahelet G. Fikruمشاهده پروفایل

دانشیار

• energy transition
• energy efficiency
• technology adoption
• +۱۰ مورد دیگر

Dr. Mahelet G. Fikru is an associate professor in the Department of Economics at Missouri University of Science and Technology, where she has been a faculty member since 2011. She is affiliated with the Center for Intelligent Infrastructure and serves as an associate editor for Energy Reports. Her professional memberships include the Association of Environmental and Resource Economists (AERE) and the US Association for Energy Economics (USAEE). Dr. Fikru's educational background includes: Ph.D. in Economics from Southern Illinois University Carbondale B.A. in Economics from Addis Ababa University, Ethiopia Her research centers on energy transition, energy efficiency, technology adoption, mineral resources, ESG, mining, environmental policies, and merger incentives. She employs experimental surveys, econometric methods, and economic modeling to analyze policy impacts and consumer behavior, with particular focus on critical minerals for clean energy technologies, carbon capture economics, and energy market structures. Her work bridges environmental economics with practical policy design for sustainable development. Analysis of Dr. Fikru's recent publications reveals dominant themes in energy transition mineral sourcing, carbon management economics, and consumer behavior in low-emission electricity markets. Her research demonstrates methodological diversity through choice experiments, spatial econometrics, and optimization frameworks, consistently addressing policy-relevant questions about mineral supply chains, merger regulations under environmental constraints, and decarbonization pathways. The work shows increasing emphasis on empirical validation of theoretical economic models in real-world energy transitions. Dr. Fikru contributes to academic discourse through her editorial role at Energy Reports and active participation in professional societies. Her affiliation with the Center for Intelligent Infrastructure facilitates interdisciplinary collaboration on infrastructure-related research, while her office at Harris Hall serves as a hub for economics-focused energy and environmental policy analysis.

Giorgio Scorzelliمشاهده پروفایل

پژوهشگر

• Extreme Data Management
• Scientific Visualization
• Computational Topology
• +۶ مورد دیگر

Giorgio Scorzelli is a researcher at the University of Utah, serving as Director of Software Development for the Center for Extreme Data Management, Analysis, and Visualization (CEDMAV) and the National Science Data Fabric (NSDF) . He specializes in extreme data management, scientific visualization, and computational topology, with a focus on scalable solutions for climate science, materials science, and neuroscience datasets. His work emphasizes democratizing data access through platforms like OpenVisus , enabling efficient analysis of petascale and exascale data. Key contributions include orchestrating cyberinfrastructure, optimizing parallel I/O, and developing real-time visualization systems for heterogeneous resources. Notable scientific contributions include the NSF Grant #2127548 for NSDF development . His projects integrate cloud computing, geo-distributed storage, and FAIR digital objects to lower barriers to data democratization. Giorgio's research spans multi-resolution algorithms , computational topology , and 3D geometric modeling , with applications in infrastructure security, archaeological reconstruction, and biomedical imaging. His work bridges abstract mathematical frameworks (e.g., Boolean algebras, chain complexes) with practical software solutions.

Volkert Paulsenمشاهده پروفایل

مدرس ارشد

• Financial Mathematics
• Stochastic Analysis
• Optimal Stopping
• +۵ مورد دیگر

Volkert Paulsen is a Senior Lecturer at the Institute of Mathematical Stochastics at the University of Münster. His career spans institutions including the University of Kiel, where he completed his Habilitation (2000), Dissertation (1994), and Diplomarbeit (1989). He has taught extensively in Financial Mathematics , Stochastic Analysis , and Mathematical Statistics , supervising over 50 Bachelor, Master, and Diploma theses on topics such as risk modeling, portfolio optimization, and derivative valuation. Research Interests: Paulsen's work focuses on Financial Mathematics (continuous-time models, American options, unit-linked insurance), Stochastic Analysis (optimal stopping, martingale methods), and Risk Modeling (credit risk, extreme value statistics). His publications include foundational studies on nonlinear observation costs in optimal stopping problems and stochastic approaches to portfolio management. Scientific Contributions: His research spans journal articles in Stochastic Processes and their Applications and Journal of Applied Probability , with recent seminar topics covering Lévy Processes , Copula Modeling , and Stochastic Volatility . He employs R for statistical applications and integrates mathematical theory with practical finance and insurance contexts. Contact: Email: Volkert.Paulsen@uni-muenster.de Room: 130.010, Orléans-Ring 10, 48149 Münster Phone: +49 251 83-33771

• Cluster Randomized Trials
• Cost-Effectiveness Analysis
• Obesity Prevention
• +۶ مورد دیگر

James Martin is an Associate Professor in Applied Health Sciences with extensive research activity spanning multiple disciplines including maternal health, obesity prevention, and health economics. His work primarily focuses on cluster randomized trials, cost-effectiveness analysis, and implementation science across global health contexts. His research interests form a distinctive fingerprint centered around Cluster Randomized Trials (100%), Randomized Controlled Trials in Medicine and Dentistry (69%), Cost-effectiveness analysis (35%), and Obesity Prevention (27%). Dr. Martin has made significant contributions to understanding Body Mass Index applications (26%) and Childhood Obesity interventions (26%) in diverse healthcare settings. Recent publication trends reveal a strategic shift toward integrating technological innovations with traditional health research, particularly evident in his 2025 work on Generative AI applications in health research education and data analysis. His research output shows consistent productivity with 49 total publications, including significant contributions to high-impact journals such as The Lancet Obstetrics, Gynaecology and Women's Health and Nature Medicine. Dr. Martin has received notable recognition with publications picked up by 9 news outlets, referenced in 2 policy sources, and shared across multiple social media platforms including 36 X users and 1 Facebook page. His work has attracted substantial academic attention with 157 readers on Mendeley. As a collaborative researcher, he serves as Co-Investigator on multiple major projects including the E-MOTIVE study funded by The Bill & Melinda Gates Foundation, the APT-Sepsis Programme funded by the Medical Research Council, and several other initiatives addressing critical global health challenges in maternal care and childhood obesity prevention.

Snehamoy Chatterjeeمشاهده پروفایل

دانشیار

• Artificial Intelligence in Mining
• Remote Sensing for Geological Applications
• Mine Safety and Reliability
• +۵ مورد دیگر

Snehamoy Chatterjee serves as Associate Professor and Witte Family Endowed Faculty Fellow in the Department of Geological and Mining Engineering and Sciences at Michigan Technological University. His expertise spans ore reserve estimation, mine planning optimization, and AI-driven safety systems, with significant contributions to remote sensing applications in mining and geological hazard assessment. Chatterjee earned his PhD in Mining Engineering from the Indian Institute of Technology Kharagpur, followed by postdoctoral research at the University of Alaska Fairbanks and the COSMO Stochastic Mine Planning Laboratory at McGill University. His academic journey includes prior faculty positions at India's National Institute of Technology. His research program integrates cutting-edge artificial intelligence with geospatial technologies to solve critical challenges in mining safety and resource management. Key focus areas include: Generative AI frameworks for real-time mining hazard prediction Hyperspectral and InSAR remote sensing for mineral exploration Deep learning applications in geophysical inversion Stochastic optimization of mine planning under uncertainty Machine learning-driven landslide and earthquake hazard mapping Chatterjee's 15 most recent publications (2023-2024) reveal a pronounced shift toward AI-geospatial fusion , with 60% of works applying deep learning to satellite imagery for hazard monitoring. His team's research spans three critical domains: mining safety systems (33%), geological hazard prediction (47%), and resource optimization (20%), demonstrating strong interdisciplinary collaboration across environmental science and engineering disciplines. Professional recognition includes: Editor's Best Reviewer Award 2014 from Mathematical Geosciences Journal APCOM Young Professional Award 2015 at the 37th APCOM conference Chatterjee actively mentors graduate students and leads multiple federally funded research initiatives focused on mine safety innovation and critical mineral exploration. His professional service includes editorial responsibilities for Mining, Metallurgy & Exploration and committee roles in major international conferences through IAMG, SME, and AGU. Current projects emphasize generative AI applications for predictive safety analytics and hyperspectral remote sensing for critical mineral discovery. His research extends through collaborations with the COSMO Laboratory network and industry partners across North America, India, and Australia, with recent fieldwork focusing on Alaskan platinum deposits and Indian coal reserves.

• Structure engineering
• Earthquake engineering
• Steel structures
• +۳ مورد دیگر

Kiyoshi Ono is a Professor at Waseda University's School of Creative Science and Engineering, Faculty of Science and Engineering, specializing in structural and earthquake engineering. He holds a Doctor of Engineering degree from Osaka University and has been actively contributing to academia since at least 2007, following his tenure as Associate Professor at Osaka University Graduate School of Engineering (2002-2007). His academic journey demonstrates a consistent focus on advancing structural engineering knowledge with practical applications for infrastructure resilience. Professor Ono's research interests center around structure engineering and earthquake engineering, with particular expertise in steel structures, bridge engineering, and high-performance steel materials. His work explores the seismic performance of steel structures, innovative bridge design methods, and the application of high-strength steel materials (particularly SBHS series) to improve structural safety and durability. He investigates how material properties affect structural behavior under seismic loads, developing evaluation methods that balance safety with economic considerations. His publication record shows a consistent research trajectory with 41 papers, 123 citations, and an h-index of 4 according to Scopus. The most recent publications (2015-2024) demonstrate his ongoing commitment to advancing knowledge in steel structure performance, particularly focusing on high-performance steel materials and their application in seismic-resistant design. His research spans fundamental material properties investigations to practical structural applications, showing a comprehensive approach from microscopic material behavior to macroscopic structural performance. Scientific Awards: New Road Technology 5-Year Plan Award (2003) Professor Ono actively contributes to academic knowledge dissemination through numerous publications, presentations, and his role in developing industry standards. His work on the 'Steel and Composite Structure Standard Specifications' and 'Buckling Design Guidelines' demonstrates his influence on engineering practice. He serves on committees including the Japan Society of Civil Engineers Kansai Branch (as General Affairs and Accounting Committee Member since 2010) and the Performance-Based Seismic Design Committee for Bridges. His professional memberships include the Japan Society of Civil Engineers Kansai Branch, Japanese Society of Steel Construction, and Japan Society of Civil Engineers, reflecting his active engagement with the engineering community. His research projects consistently address practical challenges in bridge engineering while advancing theoretical understanding of structural behavior under extreme loading conditions.

Aldina Francoمشاهده پروفایل

دانشیار

• Movement Ecology
• Biogeography
• Ecological Responses to Global Change
• +۷ مورد دیگر

Aldina Franco is Associate Professor in Ecology and Global Environmental Change at the School of Environmental Sciences, University of East Anglia (UEA). She is a member of the Centre for Ecology, Evolution and Conservation, Environmental Biology, and ClimateUEA. She has been at UEA since 2009, progressing from Lecturer to her current role, and serves as Director of the International Master in Applied Ecology and Chair of Postgraduate Taught Programmes. She is actively accepting PhD students and supervising a diverse, international research group. PhD in Conservation Biology, UEA MSc in Maths Applied to Biological Sciences, University of Lisbon MSci in Biology with Ecology, University of Lisbon Her research focuses on movement ecology, biogeography, and ecological responses to global change . She investigates animal migration, dispersal, and behavioral responses to climate change and anthropogenic pressures. Her group develops advanced animal tracking technologies (e.g., GSM, LoRa) and applies niche modeling to inform conservation. Key research areas include climate impacts on biodiversity, design of protected areas, and conservation of migratory species. Her recent publications (2023–2025) reflect a strong focus on climate change impacts on animal movement, conservation technology, and biodiversity monitoring . Articles cover thermal sensitivity in insects, bird migration dynamics, sensor development for wildlife tracking, and multi-threat vulnerability assessments for migratory birds. There is a clear trend toward interdisciplinary research integrating ecology, technology, and policy. Marsh Award for Ornithology (2023) Scientific Committee LIFE Connect Ricotí (2022) Aldina Franco leads and co-leads multiple NERC and internationally funded projects, including research on heatwave impacts, landslide monitoring, and bird migration. She supervises numerous PhD students and postdoctoral researchers, many from Portugal and funded by FCT. She collaborates with NGOs such as BTO, BirdLife International, and SPEA, and institutions in the UK, Portugal, and the USA. She coordinates the Movetech Telemetry project, developing state-of-the-art tracking devices in collaboration with BTO and the University of Porto. Her work contributes to UN Sustainable Development Goals related to climate action and life on land.

Christopher Burcalمشاهده پروفایل

دانشیار

• Motor Control
• Chronic Ankle Instability
• Sports Biomechanics
• +۵ مورد دیگر

Dr. Christopher Burcal is an Associate Professor in the Department of Health and Kinesiology at the University of Nebraska at Omaha’s College of Education, Health, and Human Sciences. His research focuses on understanding sensory processing and motor control mechanisms, particularly in individuals with chronic ankle instability and post-lateral ankle sprain outcomes. He leads the Sports Medicine and Biomechanics research lab, employing biomechanical techniques and electroencephalography to study movement efficiency and neurocognitive adaptations. His teaching interests include athletic training and motor control, alongside certifications as a licensed athletic trainer. Education: Bachelor of Science in Athletic Training, University of North Carolina at Charlotte (2011) Master of Science in Sports Biomechanics, Liverpool John Moores University (2012) Doctor of Philosophy in Biology with Motor Control specialization, University of North Carolina at Charlotte (2017) Research Interests: Dr. Burcal investigates sensory perception alterations in chronic ankle instability, dual-task interference effects, and sports biomechanics in volleyball, running, and tennis. His work emphasizes improving rehabilitation strategies through virtual reality applications and advanced neuromuscular assessments. Key themes include optimizing motor planning, enhancing postural stability, and reducing injury risks through biomechanical interventions. Article Trends: His recent work spans 2013–2025, with a focus on chronic ankle instability’s neuromechanical implications, dual-task performance, and clinical outcomes of interventions. Over 15 articles examine rehabilitation efficacy, diagnostic reliability, and biomechanical adaptations in aging populations. Awards: None explicitly listed in the profile. Advising & Grants: No specific grants or advisees are mentioned, though his lab actively engages in collaborative biomechanical research. Future work likely includes expanding virtual reality applications and refining clinical assessment tools. Labs/Teams: Director of the Sports Medicine and Biomechanics research lab, focusing on translational research in neuromuscular control and injury prevention.

Hengky Chandrahalimمشاهده پروفایل

دانشیار

• Optics and Photonics
• Microelectromechanical Systems (MEMS)
• RF and Microwave Engineering
• +۱۲ مورد دیگر

Hengky Chandrahalim is an Associate Professor of Electrical and Computer Engineering at the U.S. Air Force Institute of Technology (AFIT) , where he also serves as Faculty Director of the AFIT Nanofabrication & Characterization Facility . He is affiliated with the Graduate School of Engineering & Management and leads the Microsystems Laboratory. Education: Ph.D., Electrical and Computer Engineering, Cornell University M.Sc., Electrical and Computer Engineering, Cornell University M.Eng., Electrical and Computer Engineering, Cornell University B.Sc., Electrical and Computer Engineering, The Ohio State University His research interests span optics and photonics, MEMS, RF/microwave systems, optical sensing, and micro/nanosystems . He specializes in integrating microscale sensors with optical fibers, radiation-hardened MEMS, and optofluidic systems. His work combines advanced fabrication techniques like two-photon nanomachining with applications in aerospace, defense, and biomedical sensing. The trends in his recent publications emphasize optical fiber tip sensors, nonlinear damping in flow sensing, and radiation effects on MEMS resonators . His research demonstrates a strong focus on miniaturization, robustness under extreme environments, and novel transduction mechanisms in photonic and mechanical systems. Scientific Awards: Fellow, Institute of Physics (IOP) (2024) Fellow, Institution of Engineering & Technology (IET) (2023) IEEE Dayton Section Harrell V. Noble Award (2025) AFIT Civilian of the Year (2024) Arthur S. Flemming Award, Applied Science & Engineering (2024) SASE Professional Achievement Award (2022) Dean’s Distinguished Teaching Professor Award (2020–2021) He advises multiple graduate and undergraduate researchers , including Jeremiah C. Williams and David D. Lynes, and has secured significant recognition for both research and teaching. He has served as a mentor for national fellowship programs and student competitions. His lab, the Microsystems Laboratory , fosters innovation in sensor design, microfabrication, and photonics integration, contributing to both military and civilian technological advancement.

• Extreme Value Theory
• Graphical Models
• Multivariate Statistics
• +۳ مورد دیگر

Frank Röttger is an Assistant Professor at Eindhoven University of Technology, specializing in Mathematical Statistics. His primary research focuses on graphical models, multivariate extremes, and statistical inference in high-dimensional settings. Research Interests : Extreme value theory, probabilistic graphical models, causal inference in extremes, and data-driven risk modeling. Awards : NWO Prize (Scientific) - 2024 Organized Activities : Eurandom Workshop on Graph Laplacians, Multivariate Extremes, and Algebraic Statistics (2024) Causality in Extremes Workshop (2024) Courses Taught : Dependence Modeling Foundations of Statistics Mathematical Statistics Contact : Email: f.rottger@tue.nl

Michael Burrowsمشاهده پروفایل

استاد

• Marine Ecology
• Climate Change Impacts
• Biodiversity
• +۷ مورد دیگر

Michael Burrows is a Professor and Marine Ecologist at the Scottish Association for Marine Science (SAMS), part of the University of the Highlands and Islands (UHI). He is a leading researcher in marine ecology, focusing on the impacts of climate change on intertidal and coastal ecosystems. His work spans individual organism behavior to ecosystem-level modeling, with a strong emphasis on biodiversity, kelp forests, and marine heatwaves. His research interests include: Scaling ecological processes from individuals to ecosystems Climate change impacts on marine biodiversity Marine heatwaves and extreme ocean events Ecological modeling and forecasting Conservation of rocky shore and kelp forest ecosystems Blue carbon and biogeochemical cycles His recent publications reveal a strong focus on climate-driven biodiversity turnover, kelp population dynamics, Arctic coastal research, and the societal implications of ocean extremes. He frequently publishes in high-impact journals such as Nature , Nature Climate Change , and Trends in Ecology & Evolution . Scientific contributions and recognition: H-index of 56 (Scopus) Over 19,000 citations 205 research outputs, including 169 articles Active contributor to UN Sustainable Development Goals, particularly climate action and life below water Burrows is actively involved in advising and public engagement. He has participated in numerous workshops, public lectures, and media appearances, and has served on government advisory panels related to marine environmental status. He has supervised multiple research students and contributes to peer review and collaborative research networks globally. He is also a key member of the SAMS UHI Energy Innovation Team, linking ecological research with energy and sustainability initiatives. He is associated with the following labs and teams: Scottish Association for Marine Science (SAMS) SAMS UHI Energy Innovation Team International collaborations on Arctic and coastal biodiversity Marine heatwave research networks

Wouter M. Koolen-Wijkstraمشاهده پروفایل

استاد

• Machine Learning Theory
• Game Theory
• Information Theory
• +۵ مورد دیگر

Wouter M. Koolen-Wijkstra is a Professor of Mathematical Machine Learning at the University of Twente (Statistics group) and a Scientific Staff Member at Centrum Wiskunde & Informatica (CWI), Amsterdam, in the Machine Learning department. His research bridges theoretical machine learning, game theory, and statistics, with active projects on multi-armed bandits, online learning, and safe inference methodologies. He co-leads INRIA-CWI associate teams (6PAC and 4TUNE) and is an ELLIS Scholar. His work emphasizes provable guarantees in learning algorithms, including: Regret minimization under risk-averse scenarios Multi-scale adaptation in online decision-making Game-theoretic equilibria computation Anytime-valid statistical inference via e-processes Recent publications demonstrate a focus on robust learning frameworks , particularly in bandit problems, hypothesis testing, and Nash equilibrium characterization, often leveraging information-theoretic and optimization principles. Awards include: Veni Grant (2015) for 'Learning at the Intrinsic Task Pace' QUT Vice-Chancellor's Fellowship (2013) for multitask learning Rubicon Grant (2010) for game-theoretic online learning ELLIS Scholar recognition He teaches graduate courses on Machine Learning Theory and Graphical Models at CWI. Current grants include collaborations with INRIA (4TUNE and 6PAC teams) and industry partnerships (e.g., PPS Booking.COM).

John Haslegraveمشاهده پروفایل

مدرس

• Random Graphs
• Preferential Attachment
• Interacting Random Walks
• +۴ مورد دیگر

Dr. John Haslegrave is a Lecturer in Probability at Lancaster University's School of Mathematical Sciences, where he is an active member of both the Probability and Combinatorics research groups. Previously, he held positions at the University of Oxford (working with Peter Keevash), University of Warwick (with Agelos Georgakopoulos), and University of Sheffield (with Hong Liu and Chris Cannings). He completed his PhD at Trinity College, Cambridge under Béla Bollobás. His research focuses on: Random graphs and evolving network models (especially preferential attachment) Interacting particle systems and random walks on graphs Extremal problems in graph/hypergraph theory Percolation theory and geometric probability Combinatorial optimization and graph invariants Analysis of recent publications reveals strong emphasis on probabilistic combinatorics, with frequent exploration of: structural graph properties, asymptotic behavior of stochastic processes, geometric embeddings, and optimization problems. His work consistently bridges discrete mathematics with statistical physics concepts. Dr. Haslegrave welcomes PhD students interested in discrete probability and graph theory, with current supervision interests including preferential attachment models, interacting particle systems, planar percolation, and extremal problems. He teaches undergraduate courses in Graph Theory (MATH326) and Probability (MATH103), and organizes Lancaster's Pure Mathematics Seminar series.

Jeff Dixمشاهده پروفایل

استادیار

• Analog/Mixed-Signal Integrated Circuit Design
• Neural Network Integrated Circuit Design
• Low Power Integrated Circuit Design
• +۶ مورد دیگر

Jeff Dix is an Assistant Professor in the Department of Electrical Engineering at the University of Arkansas, College of Engineering. He received his B.S., M.S., and Ph.D. in Electrical Engineering from the University of Tennessee at Knoxville in 2013, 2015, and 2018, respectively. He leads the Integrated Systems Laboratory for ANalog Design (ISLAND), focusing on analog/mixed-signal integrated circuits for energy-efficient applications. B.S., Electrical Engineering, University of Tennessee at Knoxville M.S., Electrical Engineering, University of Tennessee at Knoxville Ph.D., Electrical Engineering, University of Tennessee at Knoxville His research spans four key areas: (1) Neural network/neuromorphic hardware for IoT/edge computing; (2) Extreme environment IC design (radiation-hardening, temperature extremes); (3) Subthreshold/weak inversion IC design for ultra-low power; and (4) Power electronics for electric vehicles and micro-grids. His work emphasizes energy efficiency and robustness in specialized operational contexts. Recent publications highlight trends in radiation-hardened analog circuits (2021), RF energy harvesting (2022), and neuromorphic hardware (2023). Key keywords include Integrated Circuit Design, Machine Learning Hardware, and Low Power Electronics. He teaches courses in analog/digital IC design, microelectronics, and neural network hardware, including Circuits I (ELEG 2103), Electronics II (ELEG 3223), and IC Design Lab I (ELEG 4243L/5253L).

Vicky Fasen-Hartmannمشاهده پروفایل

استاد

• Extreme Value Theory
• Lévy Processes
• Risk Management
• +۶ مورد دیگر

Vicky Fasen-Hartmann is a Professor at the Karlsruhe Institute of Technology (KIT) within the Department of Mathematics, specifically affiliated with the Institute of Stochastics. She has held her W3 Professor position since October 2012, with two periods of parental leave (August 2016-August 2017 and October 2018-October 2019). Prior to her current position, she held postdoctoral research positions at ETH Zurich (RiskLab), TU Munich, Université Pierre et Marie Curie, and Cornell University. Her educational background includes: Habilitation (2010) in Heavy Tails in Finance, Insurance and Telecommunication from TU Munich Ph.D. (2004) in Extremes of Lévy Driven Moving Average Processes with Applications in Finance from TU Munich Diploma in Mathematics (2002) from Karlsruhe Institute of Technology Professor Fasen-Hartmann's research spans multiple areas of theoretical and applied statistics with a focus on extreme value theory, heavy-tailed distributions, and their applications in finance and risk management. Her work bridges theoretical probability with practical financial applications, particularly in modeling rare events and systemic risks. She has made significant contributions to the understanding of Lévy processes, continuous-time ARMA models, and multivariate extremes. Her research combines rigorous mathematical theory with practical applications in financial mathematics, insurance, and telecommunications networks. The trends in her recent publications (2020-2025) show a clear evolution toward high-dimensional extreme value theory, financial network risk contagion, and advanced modeling of continuous-time processes. Her work increasingly addresses the challenges of modern financial systems, including systemic risk measurement, high-dimensional dependency structures, and the statistical properties of extreme events in complex systems. She has developed innovative methodologies for analyzing multivariate extremes, risk contagion, and continuous-time state space models. Professor Fasen-Hartmann has served in significant editorial roles including Associate Editor for the Scandinavian Journal of Statistics since 2014, Managing Editor of Lévy Matters (2008-2014), and Editor of Bernoulli News (2009-2011). She has also been active in academic service through committee work, including the Steering Committee of the Probability and Statistics Group in Germany (2014-2016) and the Examination Board of the Department of Mathematics at KIT (since 2017). She has supervised numerous doctoral and master's students, with current PhD candidates including Lucas Butsch (since 2021) and previously Lea Schenk, Celeste Mayer, Markus Scholz, and Sebastian Kimmig. Her teaching portfolio includes advanced courses in Time Series Analysis, Continuous Time Finance, Extreme Value Theory, and Asymptotic Stochastics. She regularly organizes workshops and conferences on specialized topics in probability and statistics, demonstrating her leadership in the academic community.