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Christopher WilliamsView profile

Research Professor

• Remote Sensing
• Earth & Space Sciences
• Radar Remote Sensing
• +3 more

Christopher Williams is a Research Professor at the University of Colorado Boulder's Department of Aerospace Engineering Sciences, affiliated with the Colorado Center for Astrodynamics Research (CCAR). He holds a PhD in Electrical Engineering from the University of Colorado (1994), an MS from Purdue University (1986), and a BS from California Polytechnic State University (1984). His research focuses on radar remote sensing of precipitation, tropospheric microphysics, and cloud dynamics, with emphasis on satellite, airborne, and ground-based systems. He has contributed to projects like the Global Precipitation Measurement (GPM) mission and led validation efforts using disdrometers and profilers. Key awards include the NASA Goddard Robert H. Goddard Award (2015) and CIRES Outstanding Scientist (2006). Research interests include calibrating cloud radars, analyzing raindrop size distributions, and understanding precipitation processes in diverse environments. His work bridges observational techniques (e.g., Doppler radar, microwave radiometry) with theoretical modeling to improve satellite rainfall algorithms. Recent studies address attenuation effects in radar signals, vertical air motion estimation, and the impact of anthropogenic pollution on Arctic cloud properties. Educations : PhD, Electrical Engineering, University of Colorado, 1994 MS, Electrical Engineering, Purdue University, 1986 BS, Electronic Engineering, California Polytechnic State University, 1984 Key Projects : ARM Climate Research Facility NOAA Earth System Research Laboratory GPM Ground Validation campaigns Publications emphasize radar-based precipitation analysis, with recent trends in airborne W-band applications, PIA modeling, and parameterization of rain variability for large-scale models. His lab collaborations include CIRES and NASA, advancing technologies for climate monitoring and disaster response.

Sriraam NatarajanView profile

Professor

• Artificial Intelligence
• Machine Learning
• Statistical Relational Learning
• +5 more

Sriraam Natarajan is a Professor and Director of the Center for Machine Learning at the Erik Jonsson School of Engineering & Computer Science, University of Texas at Dallas. He previously served as an Associate Professor at Indiana University (on leave since 2017) and Wake Forest School of Medicine. His research focuses on artificial intelligence, machine learning, and their biomedical applications, particularly in relational learning, reinforcement learning, and graphical models. He leads the StaRLing Lab and holds fellowships from hessian.AI and RBCDSAI. Education: PhD in Computer Science from Oregon State University (2007), advised by Prasad Tadepalli. Postdoctoral research at University of Wisconsin-Madison under Jude Shavlik and David Page. Research interests span statistical relational AI, causal inference, and healthcare applications. Notable awards include AAAI Fellow (2025), UTD Outstanding Graduate Teaching Award, and roles as AAAI Program Co-Chair and CODS-COMAD 2024 co-chair. Students supervised include over 20 PhD/MS graduates and current advisees in AI and machine learning. Active in editorial roles for JAIR, Machine Learning Journal, and conference PCs (ICML, AAAI, NIPS).

Anna BrunströmView profile

Professor

• Computer Networking
• Internet Architectures
• 5G/6G Mobile Systems
• +3 more

Anna Brunström is a Full Professor and Head of the Distributed Intelligent Systems and Communications Research Group (DISCO) at Karlstad University's Department of Computer Science. She holds a part-time role as a Researcher at the University of Malaga's Institute of Software Engineering and Technologies (ITIS). Her research focuses on computer networking, Internet architectures, low latency communication, and 5G/6G mobile systems. She leads the nationally funded DRIVE initiative and collaborates on European projects like 6G-PATH. She actively contributes to IETF standardization, notably as a former rmcat WG chair. Her work spans over 200 publications, emphasizing network measurement, latency optimization, and multipath protocols. Education: Ph.D. (1996) and M.Sc. (1993) from College of William & Mary, B.Sc. (1991) from Pepperdine University. Research Interests: Distributed systems, IoT networking (NB-IoT), satellite communication (Starlink), machine learning for positioning, and transport protocols (QUIC, MPTCP). Recent work includes latency-aware scheduling, 5G/6G performance analysis, and edge computing frameworks. Publications highlight trends in: 1) Satellite network throughput modeling, 2) 5G/6G architecture validation, 3) Machine learning applications for positioning and network analysis, 4) Cross-layer optimization of latency-critical services. Collaborations with industry and academia drive applied research in smart grids, healthcare, and automotive communication. Labs/Teams: DISCO group at Karlstad University, leading the DRIVE research profile and 6G-PATH consortium involvement.

Yohan PETETINView profile

Associate Professor

• Monte Carlo methods
• Bayesian filtering
• Hidden Markov models
• +5 more

Yohan PETETIN is an Associate Professor at Telecom SudParis (Institut polytechnique de Paris) in the CITI Department. His research focuses on Bayesian filtering, Monte Carlo methods, hidden Markov models, and multi-object tracking. He has authored over 20 peer-reviewed articles since 2011, with notable contributions in IEEE Transactions on Signal Processing and other top venues. His work bridges statistical signal processing with machine learning applications. PhD: Algorithmes de restauration bayésienne mono- et multi-objets dans des modèles Markoviens (2013, Telecom SudParis) HDR: Generative models for time series data (2023, Institut polytechnique de Paris) Research interests emphasize sequential Monte Carlo algorithms, particle filtering optimizations, and deep learning integration for time-series analysis. Recent work explores expressivity comparisons between recurrent neural networks and hidden Markov models. Teaching includes courses on probabilistic graphical models, Bayesian filtering, and deep learning across undergraduate and graduate programs at Telecom SudParis and affiliated institutions.

• Medical Geography
• Health Geography
• GIS Applications
• +7 more

Neng Wan is a Professor of Geography and Director of the Utah Geo-Health Lab at the University of Utah's School of Environment, Society & Sustainability. His work bridges geography, public health, and spatial analysis to address critical healthcare access and environmental health issues. Previously, he served as an Assistant Professor of Geography at the University of Utah from 2014-2019. Dr. Wan earned his BS in Geodesy from Wuhan University in 2003, followed by an MS in Cartography and GIS from the same institution in 2006. He completed his PhD in Geography from Texas State University-San Marcos in 2011. His research focuses on applying GIS and spatial methods to understand public health and environmental health problems. Current research projects include mHealth-supported health behavior research, access to healthcare, health disparities, and health consequences of pesticide exposure. His work demonstrates how spatial patterns influence health outcomes, particularly in emergency surgical care, telemedicine utilization, and pandemic responses. Dr. Wan's approach integrates advanced geospatial techniques with public health questions to reveal patterns that might otherwise remain hidden in traditional analyses. Analysis of his recent publications shows a consistent focus on healthcare access disparities, with particular attention to how social vulnerability, geography, and infrastructure impact health outcomes. His work increasingly incorporates network analysis and advanced spatial statistics to model complex healthcare systems. Recent studies examine telemedicine adoption patterns, emergency surgical care networks, and spatial patterns of discrimination during the pandemic. Presidential Scholar Award (2023, University of Utah) Dr. Wan has secured multiple grants from the National Institutes of Health (NIH), American Cancer Society, and other organizations to support his research on healthcare access disparities, mobile health interventions, and spatial epidemiology. His teaching includes advanced GIS methods, GIS & Public Health, and Health-Global Pandemics courses, where he trains students in applying spatial methods to health problems. As Director of the Utah Geo-Health Lab, Dr. Wan leads a research team that develops and applies innovative geospatial methods to address pressing public health challenges, particularly those related to health disparities and access to care. The lab's work has direct implications for healthcare system design, resource allocation, and policy interventions aimed at reducing geographic health disparities.

Edwin BarnesView profile

Professor

• Theoretical Condensed Matter Physics
• Quantum Information Science
• Quantum Computing
• +4 more

Edwin Barnes is a Professor in the Department of Physics at Virginia Tech, affiliated with the College of Science and the Virginia Tech Center for Quantum Information Science and Engineering (VTQ). He holds the Roger H. Moore and Mojdeh Khatam-Moore Dean's Faculty Fellow title. His research focuses on theoretical condensed matter physics and quantum information science, with particular emphasis on quantum computing, control, communication, algorithms, and many-body dynamics. He earned his Ph.D. in Physics from the University of California, San Diego. His work bridges mathematical constructs with experimental quantum systems, addressing challenges in quantum error correction, quantum repeaters, and scalable quantum architectures. Barnes leads the Barnes group, which explores topics like dynamically corrected gates, photonic graph states, and quantum resource optimization. Recent research highlights include developing adaptive variational quantum algorithms (e.g., ADAPT-VQE), improving quantum gate fidelity in superconducting and spin qubit systems, and analyzing quantum thermalization in driven systems. His publications span top journals like Physical Review X , npj Quantum Information , and PRX Quantum . Key awards include the Dean’s Faculty Fellowship. Barnes collaborates widely, contributing to national initiatives in quantum education and workforce development. His lab’s work on quantum control and error mitigation aims to advance practical quantum technologies.

David WandsView profile

Professor

• Theoretical Cosmology
• Inflationary Cosmology
• Early Universe Physics
• +5 more

David Wands is a Professor of Cosmology at the University of Portsmouth, affiliated with the Faculty of Technology and the Institute of Cosmology and Gravitation (ICG). His research focuses on theoretical cosmology, particularly the physics of the early universe, primordial perturbations, gravitational waves, and dark energy. He has held leadership roles, including Director of the ICG from 2010 to 2020. Wands earned his DPhil in astrophysics from the University of Sussex in 1993 and has been a Royal Society University Research Fellow. He is a Fellow of the Royal Astronomical Society and the Institute of Physics. His work bridges fundamental physics with observational cosmology, including contributions to the study of inflation, large-scale structure formation, and gravitational-wave signatures. Wands has published over 150 papers and organized major conferences like the 30th Texas Symposium on Relativistic Astrophysics. He teaches advanced cosmology modules and contributes to editorial roles in prestigious journals, such as the Philosophical Transactions of the Royal Society A. Education: Bachelor's in Natural Sciences (Physics) and Mathematics at the University of Cambridge DPhil in Astrophysics at the University of Sussex (1993) Key Roles: Board Member, Gravitational Physics Division, European Physical Society Member, Particle Data Group collaboration Research Highlights: Primordial black hole formation and gravitational-wave detection Stochastic inflation models and quantum diffusion Non-linear cosmological perturbations and relativistic effects His research outputs span interdisciplinary topics such as modified gravity predictions using N-body simulations, CMB constraints on inflationary parameters, and applications of artificial neural networks in cosmology. Awards include the Daiwa-Adrian Prize for UK-Japan collaboration (2010).

Jan van den BrakelView profile

Professor

• Survey Methodology
• Statistical Analysis
• Time Series Modeling
• +7 more

Jan van den Brakel is an Extraordinary Professor of Survey Methodology at Maastricht University and a Senior Statistician at Statistics Netherlands. He holds a position in the Department of Quantitative Economics within the School of Business and Economics. His primary affiliation is with the methodology department at Statistics Netherlands, where he focuses on advancing statistical methods for official statistics. **Research Interests:** Professor van den Brakel specializes in survey methodology, with a focus on mixed-mode surveys, time series modeling, small area estimation, and discontinuity analysis. He explores topics such as sampling techniques, variance estimation, and the integration of non-probability data sources (e.g., social media) into official statistics. His work addresses challenges in labor force surveys, health surveys, and the impact of technological changes like tablet-based data collection. **Key Projects:** Current projects include mixed-frequency time series modeling for short-term statistics, accuracy assessments of non-probability web panels, and modeling discontinuities in official surveys. He has contributed to high-impact studies, such as analyzing mobility patterns during the pandemic and improving unemployment rate estimation using Bayesian models. **Awards:** His 2013 paper on factorial designs in probability samples was honored as the best journal paper by Survey Methodology in 2014. He is a member of the Advisory Committee on Statistical Methods at Statistics Canada, reflecting his international leadership in statistical methodology. **Professional Roles:** In addition to his academic role, he collaborates extensively with national statistical offices, advising on methodological challenges. His work bridges theory and practice, ensuring statistical methods are robust and applicable to real-world data collection and analysis.

David StoneView profile

Professor

• Power Electronics
• Energy Storage
• Renewable Energy Systems
• +5 more

Professor David Stone is a faculty member in the School of Electrical and Electronic Engineering at the University of Sheffield, where he holds the position of Professor in Electrical Engineering and serves as Theme Lead for Electrical Machines. He earned his BEng (Hons) in Electronic Engineering from the University of Sheffield (1982–1985) and a PhD in Automatic Weld Penetration Control from Liverpool University (1989). Since joining the University of Sheffield in 1989, he has been affiliated with the Electrical Machines and Drives (EMD) Group, advancing to full professorship in 2013. His research focuses on power electronics , energy storage systems , and their applications in electric vehicles (EVs) and renewable energy integration . Notable work includes leading the CREESA initiative, which operates the UK's largest grid-connected lithium titanate battery storage system. Current projects explore hybrid energy storage, EV battery second-life applications, and high-frequency resonant converters for industrial heating. Research interests span: Simulation of energy systems and hybrid storage technologies Electric vehicle energy consumption modeling using dashcam telemetry Smart battery management for EVs and grid support High-efficiency wireless EV charging systems Advanced control strategies for power converters His publications (2020–2025) reflect contributions to: Energy storage system design and control Electric machine fault detection and diagnostics Grid integration of renewable energy sources Piezoelectric transformer-based power supplies Microgrid optimization with hybrid energy storage He collaborates with industry through initiatives like the EPSRC Prosperity Partnership in Offshore Wind and the TransEnergy project linking road-rail energy exchange. His work addresses challenges in sustainable energy systems and smart grid technologies.

Stuart ShieldsView profile

Associate Professor

• International Political Economy
• Eastern Europe
• Post-communist transitions
• +6 more

Stuart Shields is a Reader in Politics at the University of Manchester's School of Social Sciences, Department of Politics. He completed his PhD at Aberystwyth University in 2002 and joined Manchester in 2003. He serves on the editorial board of New Perspectives journal and is an editor for the Lynne Rienner Advances in International Political Economy series. His extensive academic network includes previous roles as founding secretary of the Critical Political Economy Research Network of the European Sociological Association and convenor of the BISA International Political Economy working group. PhD: Aberystwyth University, Department of International Politics (2002) Current Position: Reader in Politics, University of Manchester Visiting Positions: University of Wroclaw, Vrije Universiteit Amsterdam, Centre for Global Political Economy (Prague) Dr Shields' research focuses on critical approaches to International Political Economy with particular emphasis on Eastern Europe and post-communist transitions. His work examines how neoliberalism was configured in Poland after 1989 and explores why resistance to neoliberalism in Eastern Europe often takes populist, right-wing, and nationalist forms. He is currently investigating regional development banks, particularly the European Bank for Reconstruction and Development, and their role in advising post-communist governments. His research also addresses the relationship between neoliberalism and populism, with specific attention to Poland's PiS government and its 500+ child benefit policy as a form of state social policy intervention. His scholarly output reveals a strong focus on International Political Economy, with recurring themes of hegemony, post-communist transition, and the political dimensions of economic policy. Recent publications demonstrate his growing interest in institutional complexes around global governance and the role of regional development banks in shaping economic policy in transitioning economies. His work bridges theoretical frameworks with empirical studies of specific national contexts, particularly in Eastern Europe. Shortlisted for 2013 BISA IPEG book prize Nominated for Aquila Polonica Prize for best English-language article on Polish studies British Academy/Leverhulme Foundation funding for Foundations and Frontiers in International Political Economy project Dr Shields has supervised numerous PhD students whose work spans diverse topics including post-communist transitions, global governance, and political economy. Many of his former students now hold academic positions at institutions worldwide. His current research projects include a political economy of the EBRD, analysis of populist resistance to neoliberalism in Poland, and a British Academy-funded project exploring the construction of International Political Economy as an academic discipline. He teaches undergraduate courses on The Politics of the Global Economy and International Political Economy, as well as a postgraduate course on Critical Approaches to International Political Economy.

Slim EssidView profile

Professor

• Machine Learning
• Artificial Intelligence
• Signal Processing
• +7 more

Slim Essid is a Full Professor at Télécom Paris, leading the Audio Data Analysis and Signal Processing (ADASP) group. He holds a Doctorat (Ph.D.) and Habilitation from Université Pierre et Marie Curie (UPMC). With 15+ years of research experience, he has advised 15 PhD graduates and currently co-advises 10 others. His work focuses on machine learning, signal processing, and multimodal systems, publishing over 150 peer-reviewed papers. He serves as a reviewer for top journals/conferences (e.g., IEEE Transactions) and research funding agencies. Education: State Engineering Degree, École Nationale d’Ingénieurs de Tunis (2001) M.Sc. (D.E.A.) in Digital Communication Systems, École Nationale Supérieure des Télécommunications, Paris (2002) Ph.D., Université Pierre et Marie Curie (2005) Habilitation (HDR), UPMC (2015) Research Interests: Multimodal learning, self-supervised representations, audio-visual segmentation, music structure analysis, domain generalization, and speech enhancement. Recent publications highlight innovations like TACO (training-free sound-prompted segmentation) and CLOUDS (domain-generalized semantic segmentation framework using foundation models). His work bridges audio processing with vision and language models, emphasizing unsupervised/zero-shot approaches. Key achievements include state-of-the-art methods in sound event detection, speaker diarization, and music segmentation. He collaborates with 14 post-docs and leads projects funded by French/EU agencies.

Elizabeth Kryder-ReidView profile

Professor

• Cultural Heritage
• Landscape and Power
• Museology
• +12 more

Elizabeth Kryder-Reid is Professor of Anthropology and Museum Studies in the IU School of Liberal Arts at Indiana University–Purdue University Indianapolis (IUPUI), where she also serves as Director of the Cultural Heritage Research Center. She was formerly the Director of the IUPUI Museum Studies Program (1998–2013). Her research spans cultural heritage, landscape and power, historical archaeology, and public history, with a particular focus on the intersections of materiality, colonialism, and social inequality. She investigates how heritage is mobilized in social relationships, especially through landscapes such as the California missions and urban toxic sites. Her publications include the award-winning monograph California Mission Landscapes: Race, Memory, and the Politics of Heritage (2016), which examines how mission gardens have transformed sites of colonial violence into nostalgic, aestheticized spaces. She has also published on garden history, toxic heritage (e.g., dry cleaning pollution), and the pedagogy of discomfort in archaeology. Her recent work explores stakeholder-defined heritage, public art, and critical heritage theory. Her scholarly output includes numerous peer-reviewed articles, book chapters, and editorial contributions, such as co-editing a special issue of the Journal of Garden History and contributing to Keywords in American Landscape Design . Her research often involves community collaboration and public engagement. She has received several honors, including: IUPUI Trustees Teaching Award (2003, 2013) AMM Professional Service Award AAUP Publication Grant (2008) Society of Architectural Historians’ Landscape History Essay Prize (2012) Multiple book awards for California Mission Landscapes , including the SAH MacDougall Book Award (2019) and the Vernacular Architecture Forum’s Cummings Prize (2018) She has led significant research initiatives, including the IMLS-funded 'Shaping Outcomes' project on outcomes-based planning for cultural institutions. She advises on heritage policy and interpretation and promotes critical, inclusive approaches to public memory and museum practice. She is actively involved in interdisciplinary and public-facing scholarship, working with communities to address environmental injustice and contested heritage.

Farzad HashemiView profile

Assistant Professor

• Urban Climate
• Heat Islands
• Building Energy Performance
• +5 more

Farzad Hashemi serves as an Assistant Professor at the School of Architecture + Planning within The University of Texas at San Antonio (UTSA), affiliated with the Margie and Bill Klesse College of Engineering and Integrated Design. He leads the Climate-Sensitive Design Lab (CSDL), focusing on interdisciplinary research at the intersection of urban climate science, building performance, and environmental justice. Education: Ph.D., Pennsylvania State University Dr. Hashemi's research investigates urban heat island phenomena, building energy dynamics, and socio-spatial inequities in thermal exposure. His work employs advanced simulation techniques including GIS, ENVI-met, CFD, and machine learning to analyze climate impacts across diverse urban contexts. Key contributions include examining historical redlining's legacy on contemporary heat distribution, developing parametric workflows for energy modeling, and creating data-driven mitigation strategies for urban heat. His approach integrates technical building science with critical social analysis to address climate vulnerabilities in marginalized communities. His publication portfolio demonstrates consistent focus on urban heat mitigation, building energy performance, and environmental justice across multiple U.S. cities. Recent work emphasizes adaptive cooling strategies through computational modeling and examines thermal inequities through spatial analysis of social vulnerability indices. The research bridges technical climate modeling with socio-political dimensions of urban heat exposure. Honors and Awards: The 2024 ARCC Dissertation Award As director of the Climate-Sensitive Design Lab, Dr. Hashemi develops research initiatives that combine environmental simulation with community-focused design solutions. The lab's work informs both academic discourse and practical urban planning applications, particularly regarding climate adaptation in rapidly growing Sun Belt cities like San Antonio. Current projects integrate tree canopy data, occupancy patterns, and future climate scenarios to create resilient urban environments.

Susan LandView profile

Professor

• Learning Sciences
• Educational Technology
• Instructional Design
• +7 more

Susan Land is a Professor of Education and the Associate Dean of Undergraduate and Graduate Education in the Learning, Design, and Technology Program at Penn State University's College of Education. She also serves as the Head of the Department of Learning & Performance Systems. Dr. Land earned her doctorate in Instructional Systems from The Florida State University under Dr. Michael Hannafin. Prior to Penn State, she was a postdoctoral fellow at the University of Georgia's Learning and Performance Support Laboratory and faculty at the University of Oklahoma's Instructional Psychology and Technology Program. Earlier, she worked on instructional design projects with the U.S. Air Force Academy, Citibank, and Hewlett Packard. Her research emphasizes frameworks for technology-enhanced learning environments, particularly focusing on how learners meaningfully engage with technology in student-centered contexts. She has published over 60 manuscripts and co-edited two editions of Theoretical Foundations of Learning Environments with Dr. David Jonassen, which has been reprinted repeatedly, translated into Korean, and achieved notable sales in the Instructional Technology field. Her recent publications demonstrate a clear trajectory toward mobile, context-sensitive learning in outdoor environments using proximity-based technologies like iBeacons. These studies examine children's scientific observations in arboretums, sense-making conversations in botanical gardens, and knowledge sharing in online affinity spaces, revealing patterns in how technology mediates learning experiences across different contexts. Young Scholar Award from Association for Educational Computing and Technology (AECT) Outstanding Article of the Year Award from AECT 2015 SIG-IT Best Paper Award from American Educational Research Association (AERA) Top 10 most-published/frequently-cited authors in Educational Technology Research & Development College of Education 2016 Outstanding Teaching Award Dr. Land advises graduate students and collaborates extensively with researchers including Heather Zimmerman, Priya Sharma, and Chris Millet. Her NSF-funded research with Zimmerman examines how proximity-based computing supports children's scientific sense-making in outdoor environments. She leads the Augmented and Mobile Learning Research Group, which investigates context-sensitive, place-based learning using mobile technologies and augmented reality. Her research has been supported by multiple grants from the National Science Foundation (NSF), Institute of Museum and Library Services (IMLS), and Penn State's Center for Online Innovation in Learning (COIL). Current projects include developing the Penn State Places platform for creating iBeacon-triggered content in public spaces, with applications in arboretums, children's gardens, and community engagement initiatives.

Anne RemkeView profile

Professor

• Dependability
• Security
• Critical Infrastructures
• +5 more

Professor Anne Remke leads the safety-critical systems group at the Faculty of Mathematics and Computer Science at Westfälische Wilhelms-Universität Münster since October 2014. She is also affiliated with the Design and Analysis of Communication Systems group at the University of Twente, where she served as assistant professor from June 2010 and became associate professor in March 2016. Her research focuses on dependability and security in critical infrastructures, particularly electrical power systems and telecommunication networks. Her educational background includes a PhD (2008) and MSc (2004) in Computer Science from the University of Twente and RWTH Aachen respectively. Her doctoral research focused on 'Model Checking Structured Infinite Markov Chains,' for which she publicly defended her thesis in June 2008. Professor Remke's research interests center on cyber-physical systems, with particular focus on evaluation of charging strategies for local energy storage in smart homes and security of control networks (SCADA) in smart grids. Her work bridges theoretical model checking techniques with practical applications in critical infrastructure protection. She has made significant contributions to the analysis of hybrid Petri nets, stochastic models, and the development of tools for dependability evaluation. Her recent publications demonstrate a strong trend toward integrating machine learning with formal verification methods for cyber-physical systems. The research spans stochastic hybrid systems, reachability analysis, and security evaluation of smart grid infrastructures, showing consistent growth in both theoretical foundations and practical applications of dependability analysis. Veni award from Dutch Science foundation (NWO) for 'Counting on a reliable water supply' GI/ITG MMB prize for best diploma thesis in computer and communication systems Best Paper Award at Valuetools 2023 conference Best Repeatability and Artifact Evaluation Award at QEST21 Teaching award from Fachschaft FB10 (2019) Professor Remke has successfully secured multiple research grants including the DFG project 'RealyST: Reachability Analysis for Stochastic Hybrid Systems' in collaboration with RWTH Aachen. She has supervised numerous students including Katharina Sichma, Pauline Blohm, Joanna Delicaris, Verena Menzel, Mathis Niehage, Jonas Stübbe, and Lisa Willemsen. Her research group actively participates in international collaborations and standardization efforts in critical infrastructure security. The safety-critical systems group maintains several research tools including HYPEG (for simulation and analysis of hybrid Petri nets), TimeNET (a GUI for modeling hybrid Petri nets), and a Smart Neighbourhood Simulation Tool for community energy storage and trading. These tools support their research in modeling and evaluating complex critical infrastructures through both analytical methods and simulation techniques.