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Christian KniggeView profile

Professor

• accretion phenomena
• associated outflows
• cataclysmic variables
• +3 more

Professor Christian Knigge serves as Professor of Astrophysics at the University of Southampton and is a core member of the Southampton Theory Astrophysics and Gravity (STAG) Research Centre within the Institute for Life Sciences. His research program investigates accretion phenomena across diverse cosmic scales, from stellar-mass compact objects to supermassive black holes. Knigge's primary research focuses on accretion phenomena and associated outflows, cataclysmic variables, close binaries, globular clusters, and active galactic nuclei. He examines the physical mechanisms driving accretion disk instabilities, outflow generation, and explosive events in binary systems, with particular emphasis on white dwarf and black hole accretors. His work integrates observational data with theoretical modeling to unravel the complex physics of these high-energy environments. Recent publications (2024-2025) reveal a strong emphasis on multi-wavelength observational campaigns, especially leveraging JWST capabilities, alongside theoretical code development. Key research threads include characterizing disk winds in active galactic nuclei, identifying quasi-periodic oscillations in white dwarf systems, classifying optical outbursts in cataclysmic variables, and developing computational tools like the SIROCCO radiative transfer code. These studies demonstrate his leadership in connecting observational signatures with fundamental accretion physics across different astrophysical regimes. Supervision: Currently guides six PhD students in Physics (Austen George William Wallis, Cordelia Brown, Brian Luff, Zackery Alexander Irving, Arianna Clarissa Albayati, Pornisara Nuchvanichakul) Grants: Leads STFC-funded projects including 'Line-Driven Disk Winds in Active Galactic Nuclei', 'C Knigge - Astrophysics at Southampton', and previously held a Leverhulme Trust Research Fellowship for 'The Universal Nature of Accreting Compact Objects' As an integral member of the STAG Research Centre, Knigge collaborates within a multidisciplinary team investigating gravity-dominated systems, contributing to Southampton's prominence in theoretical and observational astrophysics through both individual research initiatives and institutional consolidation grants.

• Trustworthy AI
• Software Testing & Verification
• Requirements Engineering
• +5 more

Prof. Lionel C. Briand is a leading academic in software engineering and trustworthy AI, holding appointments at the University of Ottawa (EECS Department, Nanda Laboratory) and the University of Limerick (Lero - National Software Research Centre). He serves as Director of Lero and Scientific Director of the SnT software verification lab in Luxembourg. His research focuses on software testing, model-driven engineering, AI-driven quality assurance, and regulatory compliance. He has held the Canada Research Chair (Tier 1) since 2003 and led major institutions like Simula Research Laboratory (Norway) and Fraunhofer Institute (Germany). Education & Career: Full Professor at Carleton University (2008–2012) Head of Software Quality Engineering at Fraunhofer IESE (2000–2008) Research Scientist at NASA Software Engineering Lab (1990s) Research Interests: His work spans secure AI systems, automated legal compliance (e.g., GDPR), metamorphic testing, search-based software engineering, and safety-critical systems. He emphasizes practical applications, collaborating with industry partners globally. Awards & Recognition: IEEE Fellow (2010), ACM Fellow (2020) Harlan Mills Award (2012), ERC Advanced Grant (2016) Fellowships from Royal Society of Canada (2023) and Academia Europaea (2025) Grants & Labs: PEARL grant from Luxembourg FNR for SnT lab ERC Advanced Grant for software testing research Leadership roles in Lero and Nanda Lab Publications: Over 500+ papers on testing methodologies, AI ethics, and regulatory compliance. Notable tools include CompAI (GDPR compliance) and Teasma (DNN test adequacy).

Xiaoli LiView profile

Associate Professor

• Unconventional Reservoirs
• Gas Transport in Porous Media
• Phase Behavior Thermodynamics
• +3 more

Dr. Xiaoli Li is an Associate Professor in the Department of Chemical and Petroleum Engineering at the University of Kansas. Her research laboratory (PVT Lab) focuses on complex fluid behavior in energy systems, with particular emphasis on phase equilibria, gas transport phenomena, and enhanced hydrocarbon recovery techniques. She maintains active research programs in unconventional reservoirs, CO 2 geostorage, hydrate technology, and nanoscale fluid dynamics. Her core research domains include: Confined phase behavior: Thermodynamics of fluids in nanoporous media Gas transport mechanisms: Rarefied flow and apparent permeability modeling Hydrate science: Structure stability and phase boundaries CO 2 utilization: Enhanced oil recovery and geological sequestration Asphaltene dynamics: Precipitation mechanisms in EOR processes Dr. Li teaches across the petroleum engineering curriculum, including core courses: Chemical Engineering Thermodynamics (C&PE 221), Reservoir Engineering (C&PE 327), Well Logging (C&PE 528), and Petroleum Engineering Design (C&PE 628). Her instructional portfolio emphasizes fundamental thermodynamics, reservoir characterization, and practical field applications. Her publication record (35+ articles) demonstrates consistent focus on reservoir thermodynamics and transport phenomena, with recent emphasis on: CO 2 -oil interactions (2020-2023), gas hydrate stability (2020-2022), shale gas transport (2019-2021), and equation of state modifications for confined fluids (2018-2020). Research methodologies combine molecular simulations, experimental studies, and novel thermodynamic modeling approaches.

Stefan Thor SmithView profile

Professor

• Energy Systems
• Urban Energy Modeling
• Climate Resilience
• +3 more

Professor Stefan Thor Smith is a distinguished academic at the University of Reading , serving as a Professor in the Department of Energy and Environmental Engineering . His work bridges energy systems with urban sustainability , focusing on the integration of social and technical aspects of energy demand , urban energy system modeling , and climate change resilience . Academic Qualifications Postgraduate Certificate in Academic Practice (University of Reading, 2016) PhD in Built Environment (University of Nottingham, 2009) MSc in Computer Science (University of Glasgow, 2002) BSc in Physics (University of Nottingham, 2001) His research interests span the dynamics of energy demand in socio-technical systems, urban heat fluxes, pollution exposure modeling, and climate adaptation strategies. He has developed novel models for energy demand-side management , building environmental control , and urban climate interactions . Recent publications highlight his expertise in areas such as EV charging infrastructure , urban tree radiative performance , phase change material storage , and anthropogenic heat emissions . His work often involves interdisciplinary collaborations with institutions like the Centre for Research into Energy Demand Solutions and the Institute of Physics . Smith supervises a diverse group of postgraduate students and contributes extensively to teaching modules including Numerical Modelling and Programming and Urban Sustainability . His professional affiliations include the Institute of Physics , International Association of Urban Climatology , and the Higher Education Association .

• Electrical Engineering
• Modeling and Simulation
• Machine Learning
• +5 more

Igor Simone Stievano is a Full Professor at the Polytechnic University of Turin , affiliated with the Department of Electronics and Telecommunications (DET) and the Interdepartmental Center Ec-L - Energy Center Lab . He holds a PhD in Electrical Engineering and has supervised numerous students in disciplines spanning electromagnetic compatibility, machine learning, and multi-energy networks. His research interests include: Modeling and simulation of integrated circuits Machine learning for signal integrity Multi-energy network resilience Stochastic analysis of electrical systems Electromagnetic compatibility Key projects include the EU-funded SHIMMER initiative on hydrogen injection in gas networks and commercial contracts for high-speed I/O macromodeling. He serves as a chair and committee member at major conferences like the IEEE Workshop on Signal and Power Integrity. Scientific recognitions : IEEE Senior Member Recipient of the 2013 Futuro in Ricerca grant Editorial Board member of ENERGIES (2020-) Stievano actively participates in PhD college evaluations for Mathematical Sciences and Metrology programs at Politecnico di Torino, while teaching courses in Electrical Engineering and Digital Technologies across biomedical, computer, and media engineering curricula.

Jina KangView profile

Assistant Professor

• Educational Technology
• Immersive Learning Environments
• Collaborative Learning
• +3 more

Jina Kang is an Assistant Professor in the Department of Curriculum & Instruction at the University of Illinois Urbana-Champaign , with an affiliate appointment at the Siebel Center for Design . Her research focuses on immersive technology-supported learning environments , collaborative problem-solving dynamics , and educational data mining for understanding multimodal engagement in science education. Recent publications examine embodied cognition in STEM through gesture-based learning simulations, joint attention dynamics in astronomy VR environments, and systematic reviews of immersive technology applications in collaborative education. Her work integrates XR platforms , Bayesian knowledge tracing , and multimodal behavioral analysis to enhance science learning outcomes. She teaches graduate courses including CI 539: Introduction to Educational Data Mining and CI 489: Educational Technology Capstone Course , where students develop technology-supported learning activities using studio-based approaches.

• Machine Learning
• Control Systems
• Robotics
• +3 more

Sebastian Trimpe is a Full Professor and Head of the Institute for Data Science in Mechanical Engineering at RWTH Aachen University, concurrently serving as Co-Executive Director of the RWTH Center for Artificial Intelligence since 2023. Previously, he led a Max Planck Research Group at the Max Planck Institute for Intelligent Systems from 2018 to 2022. His educational background includes: Ph.D. in Dynamic Systems and Control from ETH Zurich (2013) Dipl.-Ing. (M.Sc.) in Electrical Engineering from TU Hamburg (2007) MBA in Technology Management from TU Hamburg (2007) B.Sc. in General Engineering from TU Hamburg (2005) Professor Trimpe's research integrates machine learning with control theory to address safety and efficiency challenges in autonomous systems. His work spans theoretical frameworks for robust decision-making under uncertainty and practical implementations in robotics, with particular emphasis on event-triggered control, distributed systems, and data-efficient learning methodologies. Key contributions include novel approaches to safe reinforcement learning and model predictive control with guaranteed stability. Analysis of his recent publications reveals a pronounced focus on bridging machine learning with control engineering, especially in safety-critical robotics applications. Common themes include distribution-aware learning for medical diagnostics, diffusion-based control approximation, and hardware-in-the-loop validation of theoretical frameworks, demonstrating strong alignment between algorithmic innovation and real-world deployment. His scientific achievements have been recognized with prestigious honors: IFAC World Congress Interactive Paper Prize (2011) Klaus Tschira Award for public understanding of science (2014) Best Paper Award at International Conference on Cyber-Physical Systems (2019) Future Prize by Ewald Marquardt Stiftung (2020) As institutional leader, he directs the Institute for Data Science in Mechanical Engineering and co-leads the RWTH AI Center, overseeing strategic research initiatives and industry collaborations. His academic service includes editorial roles for IEEE Control Systems Society conferences and participation in the Cluster of Excellence 'Internet of Production'. The Institute for Data Science in Mechanical Engineering operates as a multidisciplinary hub where fundamental research in learning-based control meets industrial applications. Current projects focus on drone swarm coordination, deformable object manipulation, and medical diagnostics systems, leveraging both simulation environments and physical testbeds like the Mini Wheelbot platform.

• Quantum Control Theory
• Quantum Dynamics
• Quantum Computing
• +5 more

Xiuhao Deng is an Associate Research Fellow and PhD Supervisor at the Institute of Quantum Science and Engineering, Southern University of Science and Technology (SUSTech), with adjunct positions at Pengcheng Lab and Hefei Lab. He obtained his B.S. in Modern Physics from University of Science and Technology of China (USTC) in 2005, followed by an M.S. in Atomic and Molecular Physics from USTC (2009) and a Ph.D. in Physics from University of California, Merced (2015). Research Interests: Driven quantum systems Quantum control theory and open quantum systems Superconducting and spin qubits Quantum error correction Quantum simulation Quantum computing His work focuses on robust quantum gate engineering, scalable quantum control, and error mitigation in multi-qubit systems. Recent publications emphasize geometric correspondence methods, noise resilience, and hardware optimization. Academic Activities: Organized QIP 2020 (international quantum conference) Reviewer for Phys. Rev. X , Phys. Rev. Lett. , and other journals Transferred to Shenzhen International Quantum Academy in 2025 after tenure at SUSTech

Mustafa OnurView profile

Professor

• Petroleum Engineering
• Reservoir Management
• Inverse Problem Theory
• +4 more

Mustafa Onur is the McMan Professor and Chair of Petroleum Engineering at The University of Tulsa, where he directs the TU Petroleum Reservoir Exploitation Projects (TUPREP). He holds a Ph.D. and M.S. in Petroleum Engineering from The University of Tulsa and a B.S. from Middle East Technical University. Previously, he held professorships at Istanbul Technical University and Universiti Teknologi Petronas (Malaysia), including a Schlumberger Chair position. Research Focus: Dr. Onur specializes in inverse problem theory, mathematical optimization, and data science applied to reservoir management, geothermal systems, and uncertainty quantification. His work integrates machine learning with traditional reservoir engineering to solve complex problems in energy extraction and carbon sequestration. Publication Trends (2024-2025): His 15 most recent articles emphasize deep learning-based reservoir surrogates, CO₂ storage optimization, geothermal energy extraction, and constrained production optimization. Key innovations include Embed-to-Control frameworks, physics-driven interwell simulators, and stochastic optimization algorithms for uncertainty management in subsurface systems. Awards & Recognition: 2010 SPE Formation Evaluation Award 2014 SPE Distinguished Member 2018 SPE Reservoir Description and Dynamics Award Leadership: As TUPREP director, he leads advanced research in reservoir exploitation, focusing on practical applications of AI and optimization in petroleum and geothermal engineering. He serves as Associate Editor for SPE Journal and Journal of Petroleum Science and Engineering .

Torge MartinView profile

Researcher

• Physical Oceanography
• Climate Dynamics
• Ocean Circulation
• +9 more

Dr. Torge Martin serves as a Senior Scientist in Ocean Dynamics at the GEOMAR Helmholtz Centre for Ocean Research Kiel, where he is actively engaged in research on ocean circulation and climate dynamics. His work focuses on polar climate systems with particular emphasis on the interactions between ice sheets, oceans, and atmosphere in both the Arctic and Antarctic regions. As a member of the GEOMAR scientific council and student advisor in physical oceanography, he contributes significantly to institutional governance and academic training. Dr. Martin's research interests center on physical processes driving marine climate variability in high-latitude regions. He investigates how melting ice sheets impact ocean circulation patterns, with special attention to the role of mesoscale eddies (10-100km) in redistributing heat and freshwater. His work explores the connections between surface changes and deep ocean variability, particularly examining how rapid ice melt translates into changes in the Atlantic Meridional Overturning Circulation. He is deeply involved in high-resolution ocean and coupled climate modeling, developing and applying the Flexible Ocean and Climate Infrastructure (FOCI) with regional refinement capabilities to study ice-ocean-atmosphere interactions at multiple scales. The analysis of Dr. Martin's recent publications reveals a consistent focus on polar ocean dynamics and climate change impacts. His work spans from Arctic sea ice dynamics to Southern Ocean circulation, with particular emphasis on how freshwater input from melting ice sheets affects ocean circulation patterns. The research employs advanced modeling techniques, often incorporating mesoscale resolution to capture critical ocean processes. A significant portion of his recent work contributes to the Southern Ocean Freshwater Input from Antarctica (SOFIA) initiative, examining multi-model responses to Antarctic meltwater. Member of CLIVAR Ocean Model Development Panel (OMDP) Co-lead of the Southern Ocean Freshwater Input from Antarctica (SOFIA) initiative Antarctica InSync national committee member and lead of modeling working group Member of GRISO working group Ice Forcing Ocean around Greenland POF-IV subtopic 2.3 sea level change center representative Member of GEOMAR scientific council Dr. Martin actively mentors students in physical oceanography and has developed innovative teaching approaches using rotating tank experiments to demonstrate ocean dynamics principles. His research is supported through multiple projects including SCENIC (Storyline Scenarios of Extreme Weather), G-shocx (Greenland Ice Sheet–melting exiting ocean extremes), PalMod Phase 2, and the Flexible Ocean and Climate Infrastructure (FOCI) development. He chairs sessions at major international conferences including EGU General Assembly and Ocean Sciences Meeting, and has served as co-chair of the Southern Ocean Region Panel (SORP) of CLIVAR, CliC and SCAR from 2020 to 2023. His laboratory work centers on high-resolution ocean modeling with the FOCI climate model, featuring regional refinement capabilities for the subpolar North Atlantic (VIKING10) and Southern Ocean (ORION10X), allowing explicit simulation of mesoscale dynamics critical to understanding polar climate processes.

Cheng HuangView profile

Assistant Professor

• Computational Fluid Dynamics
• Aerospace Propulsion
• Data-driven Modeling
• +3 more

Cheng Huang is an Assistant Professor in the Department of Aerospace Engineering at the University of Kansas. His research focuses on computational fluid dynamics, aerospace propulsion, turbulent combustion modeling, and reduced-order modeling techniques. He is affiliated with the Computational AeroPropulsion Laboratory and can be contacted at chenghuang@ku.edu. Education: B.S. from Shanghai Jiaotong University M.S. and Ph.D. from Purdue University Research Interests: LES Modeling of Turbulent Reacting Flows Data-Driven and Reduced-Order Modeling of Complex Fluid Flows Combustion Instability Analysis in Aerospace Propulsion Recent Work Trends: His publications emphasize reduced-order modeling techniques for rocket combustion dynamics, rotating detonation engines, and multiscale fluid systems. Key methodologies include projection-based models, data-driven approaches, and nonlinear approximations of latent dynamics.

Zhi LiView profile

Assistant Professor

• Hydrological Modeling
• Flood Prediction
• Drought Monitoring
• +9 more

Zhi Li is an Assistant Professor at the University of Colorado Boulder's College of Engineering and Applied Science, Department of Civil, Environmental and Architectural Engineering. He leads the newly established Flood Lab, focusing on flood prediction and monitoring through remote sensing and coupled hydrologic-hydraulic models. Joined CU Boulder in Fall 2025 Former Dean's Postdoc Fellow at Stanford University PhD in Civil Engineering & Environmental Science from University of Oklahoma (2022) His research spans hydrological modeling , extreme events , and AI4Science applications, particularly in deep learning and intelligent agents for flood risk assessment. Li’s work also connects floods with public health and economic systems , aiming to develop the Flood-Agriculture-Climate-Economics-Disease (FACED) framework. Key Themes: High-resolution flood modeling Climate change impacts on hydro-meteorology Remote sensing integration Flood-agriculture interdependencies Global health implications Scientific Awards: Dean's Postdoc Fellow, Stanford Doerr School of Sustainability (2023) Hoving Fellowship, University of Oklahoma (2019) Li’s recent publications emphasize improved precipitation estimation (IMERG V07), Brown Ocean Effect studies, and Fourier neural operators for rapid flood forecasting. His collaborative work with NOAA and NASA focuses on comparing ground-based and spaceborne radar systems for extreme event analysis.

Sevil YazıcıView profile

Associate Professor

• Information Technologies in Architecture and Design
• Architectural Design
• Materials and Technology in Architecture
• +6 more

Sevil Yazıcı is an Associate Professor at the Department of Architecture , Istanbul Technical University , with a focus on computational design, material efficiency, and structural performance in architecture. She previously served as a Doctor Lecturer at Ozyegin University (2013–2020). Educational background: PhD in Building Sciences (2009–2013), Istanbul Technical University Degree in Architecture from Architectural Association School of Architecture (2004–2006) Research interests span computational design, bio-inspired material organization, and sustainable construction. Her recent work explores VR-driven spatial performance analysis, demolition waste reuse, and microstructure-informed shell topologies. Selected trends in publications include: Integrating environmental/structural data in early design Material-efficient generative models Biomimetic computational analysis AI-assisted architectural creativity Scientific awards highlight her achievements: 2024 Best Article Award (Frontiers of Architectural Research) 2018 Gold Medal (Istanbul International Invention Fair) 2016 UK Graduate Professional Achievement Award 2014 ITU Most Successful Doctoral Thesis Award Advising includes theses on reversible structures, sustainable façades, AI-driven design, and material-efficient fabrication. She served on the Executive Board of the Informatics in Architectural Design Graduate Program (2021–present) and was Deputy Head of Department (2022).

Kathrin FlaßkampView profile

Professor

• Control Systems
• Robotics
• Applied Mathematics
• +3 more

Kathrin Flaßkamp is a Professor at Saarland University, specializing in the Department of Systems Engineering. Her work focuses on modeling and simulation of technical systems, with applications spanning robotics, optimal control, and biomedical engineering. She is based at Campus A5 1, Room 1.04, Saarbrücken. Her research integrates control theory, artificial intelligence, and optimization to address challenges in mobile robotics, autonomous vehicles, and medical devices. A key trend in her recent articles involves leveraging model predictive control, neural networks, and Koopman operators for energy-efficient and cooperative trajectory planning. She also explores applications in stereotactic neurosurgery using continuum robots, emphasizing precision and adaptability. Her work frequently bridges theoretical advancements with real-world engineering problems, including systems with symmetries, multi-agent coordination, and data-driven methods for dynamical systems. Despite no explicit awards listed, her contributions to optimal control and robotics are evident in her extensive publication record.

Christoph RaibleView profile

Professor

• Processes of the Climate System
• Atmosphere-Ocean-Sea Ice Interaction
• Climate Modelling
• +5 more

Christoph Raible is a Professor at the Climate and Environmental Physics department within the Physics Institute at the University of Bern, Switzerland, a position he has held since 2011. He also maintains a strong affiliation with the Oeschger Centre for Climate Change Research (OCCR) at the University of Bern, where he has been a Senior Lecturer since 2011. His research focuses on atmospheric dynamics, climate modeling, and understanding past and future climate change patterns. Professor Raible's research interests encompass Processes of the Climate System, Atmosphere-Ocean-Sea Ice Interaction, Climate Modelling, Atmospheric Dynamics, Past and Future Climate Change, Predictability, Tropical and Extra Tropical Cyclones, and Climate Impacts. His work bridges theoretical climate science with practical applications, particularly in understanding extreme weather events and their implications for society. He has developed expertise in analyzing historical climate patterns to inform future projections, with particular attention to European climate systems and their global connections. Analysis of his recent publications reveals a strong focus on paleoclimatology, climate modeling, and the societal impacts of climate change. His research spans from reconstructing historical climate patterns using proxy data to projecting future climate scenarios under various forcing conditions. Key themes include Mediterranean droughts, Atlantic Meridional Overturning Circulation variability, glacial climate dynamics, and the health impacts of climate change. His methodological approach combines advanced climate modeling techniques with statistical analysis of observational data. Professor Raible has been actively involved in numerous significant research projects including the NCCR Climate program (serving as Work Package leader), the SNF Sinergia project on solar influence on terrestrial climate, and collaborative projects with SwissRe on climate change impacts. He has also contributed to major international climate initiatives including the CH2018 Climate Scenarios for Switzerland. His teaching responsibilities include graduate-level courses on atmospheric circulation and climate modeling at the University of Bern.