جست‌وجوی استاد و پژوهشگر

Zhong-Ping Jiangمشاهده پروفایل

استاد

• Nonlinear Control
• Adaptive Dynamic Programming
• Learning-Based Control
• +۵ مورد دیگر

Zhong-Ping Jiang is an Institute Professor at New York University Tandon School of Engineering, affiliated with the Department of Electrical and Computer Engineering, and holds cross appointments in Civil and Urban Engineering. He leads the Control and Network (CAN) Lab and contributes to research centers like the Center for Advanced Technology in Telecommunications (CATT) and C2SMARTER. His work focuses on nonlinear control, adaptive dynamic programming, and learning-based control with applications to autonomous systems, urban mobility, and computational neuroscience. He serves as Deputy Editor-in-Chief of the IEEE/CAA Journal of Automatica Sinica and has held editorial roles in multiple journals. Research interests include model-based and learning-based control for network systems, with emphasis on robotics, connected vehicles, and urban infrastructure. His contributions to nonlinear small-gain theory and robust reinforcement learning have advanced control methodologies for complex systems. Recent publications highlight trends in resilient control under cyberattacks, data-driven optimal control, and reinforcement learning applications in traffic signal optimization and autonomous driving. His work bridges theoretical advancements with real-world challenges in transportation and cyber-physical systems. Awards: Elected to the European Academy of Sciences and Arts (2024). Grants/Projects: Includes RAPID-funded studies on high-resolution agent-based modeling of epidemic spread and NSF-supported research on urban traffic networks. Labs/Teams: CAN Lab (focusing on control theory and networked systems), CATT (telecommunications innovations), and C2SMARTER (urban mobility solutions).

• Control Engineering
• Networked Control Systems
• Multi-Agent Systems
• +۶ مورد دیگر

Qinglong Han is the Pro-Vice Chancellor (Research Quality) and a Distinguished Professor at Swinburne University of Technology in Melbourne, Australia. He previously held academic and leadership roles at Griffith University and Central Queensland University. His research focuses on networked control systems, multi-agent systems, time-delay systems, smart grids, and unmanned vehicles. He is a Fellow of IEEE, IFAC, and multiple other institutions, and has received prestigious awards including the IEEE Dr.-Ing. Eugene Mittelmann Achievement Award (2024) and Norbert Wiener Award (2021). His research interests span control engineering, applied mathematics, and artificial intelligence. Notable contributions include secure platooning control for autonomous vehicles, resilient control under cyber-physical threats, and optimization of industrial systems. He leads editorial roles in journals like IEEE Transactions on Industrial Informatics and IEEE/CAA Journal of Automatica Sinica. His work emphasizes interdisciplinary applications in smart grids, robotics, and industrial automation. Dr. Han has supervised numerous PhD students in areas like networked control and vehicle dynamics. He has secured grants from ARC and NSFC for projects on networked control systems and renewable energy integration. His achievements include multiple best paper awards and recognition as a Clarivate Highly Cited Researcher in Engineering and Computer Science.

Giuseppe FRANZE'مشاهده پروفایل

استاد

• Constrained Predictive Control
• Networked Control Systems
• Cyber-Physical Systems
• +۷ مورد دیگر

Giuseppe FRANZE' is a Full Professor at the Department of Mechanical, Energy and Management Engineering (DIMEG) of the University of Calabria since 2022. He has over 200 publications in archival journals, book chapters, and conference proceedings, with a focus on constrained predictive control, networked control systems, and resilient control for cyber-physical systems. His research includes theoretical and applied projects funded by MIUR/MUR, European Union, and international institutions. IEEE Senior Member (2019) Associate Editor for IEEE/CAA Journal of Automatica Sinica Guest Editor for Special Issue on Resilient Control in Large-Scale Networked Cyber-Physical Systems Organized sessions at CoDIT, ETFA, CASE conferences Collaborations with Carnegie Mellon, Concordia University, Georgia Tech, and others His research spans constrained predictive control, fault-tolerant strategies, obstacle avoidance for autonomous vehicles, and machine learning integration in control systems. Recent articles emphasize resilient control under network attacks, encrypted MPC, and reinforcement learning for multi-agent systems. He received Best Paper and Best Reviewer awards at international conferences. Best Paper - CoDIT’19 Best Reviewer - IEEE ICAS 2021 FRANZE' has taught undergraduate and graduate courses in Automatic Control, Digital Control, and Robotics at the University of Calabria for over 25 years. He has chaired institutional committees, including the Degree Course Council for Automation Engineering and the Research Committee at DIMEG. His scientific partnerships include institutions like Concordia University, Northeastern University, and Université Libre de Bruxelles.

• Computational Fluid Dynamics (CFD)
• Large-Eddy Simulation (LES)
• Aero-acoustics
• +۵ مورد دیگر

Prof. Dr.-Ing. Wolfgang Schröder is a full professor at RWTH Aachen University and currently serves as Dean of the Faculty of Mechanical Engineering . In addition, he is Director of the Institute of Fluid Mechanics and Aerodynamics , a member of the Steering Committee of the Profile Area Modeling & Simulation Sciences , and RWTH’s representative in the Scientific and Technical Council (WTR) of the Forschungszentrum Jülich. His professional addresses are Wüllnerstraße 5a, 52062 Aachen and Eilfschornsteinstraße 18, 52062 Aachen , reachable at office@aia.rwth-aachen.de and dekan@fb4.rwth-aachen.de . His research portfolio spans computational fluid dynamics , large-eddy simulation , aero-acoustics , turbulent boundary-layer control , drag-reduction technologies , high-performance computing for multi-phase flows, and biomedical flow modeling . Recent work emphasizes: Multi-fidelity and surrogate modeling for active flow control and drag reduction. Advanced LES and hybrid RANS/LES methods for complex internal and external flows. Coupled CFD/CAA approaches to predict and mitigate aero-acoustic noise from airframes, landing gears, and distributed propellers. High-resolution simulations of gas-liquid and electrochemical flows in engineering and biomedical contexts. Across more than 80 peer-reviewed contributions since 2021, a clear trend emerges toward physics-based machine learning , real-time optimization , and exascale-ready algorithms that integrate experimental data (PIV, DLS) with massively parallel simulations. Scientific Awards & Honors : No specific awards are enumerated in the supplied text; however, his continuous leadership roles (Dean, Institute Director, WTR representative) indicate sustained recognition within the academic community. Advising & Funding : While individual student names are not listed, Prof. Schröder heads a large research group responsible for numerous doctoral and master’s theses. Projects are supported by German federal programs, EU Horizon initiatives, and industrial partnerships with aerospace and automotive sectors. Laboratories & Teams : He directs the Institute of Fluid Mechanics and Aerodynamics (AIA), operates within the Center for Computational Engineering Science (CCES), and leverages RWTH’s high-performance computing clusters for large-scale simulations.

Yushuai Liمشاهده پروفایل

استادیار

• Digital Twin
• Energy Internet
• Reinforcement Learning
• +۷ مورد دیگر

Yushuai Li is an Assistant Professor in the Department of Computer Science at Aalborg University. His research focuses on digital twin technologies, energy internet systems, distributed optimization, and cyber-physical security for energy networks. Institution: Aalborg University, Denmark Academic Rank: Assistant Professor Email: yushuaili@ieee.org, yusli@cs.aau.dk Research Interests: Li's work bridges artificial intelligence with energy systems, emphasizing: Digital Twin for Energy and Transportation Integration Reinforcement Learning in Power Trading Distributed Control for Microgrids Privacy-Preserving Energy Dispatch Autonomous Driving-Energy System Coupling Scientific Contributions: His recent publications address critical challenges in energy internet resilience, including: Distributed control under stealthy attacks Noise-resilient microgrid operations Multi-timescale optimization algorithms Event-triggered control strategies Secure peer-to-peer energy trading Honors & Awards: Recipient of multiple prestigious awards, including: Best Paper Awards (MPCE, ICCSIE, IEEE EI2) Excellent Young Expert Award (MPCE, 2023) National Natural Science Prizes (CAA 2022-2023) Highly Cited Papers (8 ESI Highly Cited, 2 ESI Hot Papers) H-index 24 with 2500+ Google Scholar Citations Academic Leadership: Serves as Associate Editor for four IEEE journals and chairs sessions at leading conferences like IEEE SmartGridComm, ISIE, and IEEE EI2. His 70+ publications span top venues including IEEE Transactions on Cybernetics, Smart Grid, and ACM SIGMOD.

Andreas Fischerمشاهده پروفایل

پژوهشگر

• Wind Turbine Engineering
• Aeroacoustics
• Leading Edge Erosion
• +۵ مورد دیگر

Andreas Fischer is a Senior Researcher at the Department of Wind and Energy Systems (Rotors Wind Turbine Design Division) at Technical University of Denmark (DTU). His work focuses on wind turbine aeroacoustics, leading edge erosion, and advanced computational fluid dynamics (CFD) simulations. Research Interests: He specializes in aeroacoustic noise sources, trailing edge modifications, and hybrid CAA (Computational Aeroacoustics) approaches. His research aligns with UN Sustainable Development Goals related to wind energy innovation. Current Projects: Principal Investigator for Sustainable and Cost Efficient Small Wind Turbine for Competitive Distributed Energy (2025–2027). Recent Publications: Contributions to wind tunnel experiments, digital twin development, and turbulence modelling for noise reduction. Supervision: Actively mentors PhD candidates like Pindi Nataraj and Nyborg C.M., integrating practical measurement campaigns with numerical simulations.

Michael Schlottke-Lakemperمشاهده پروفایل

استاد

• High-Performance Scientific Computing
• Adaptive Multi-Physics Simulations
• Research Software Engineering
• +۴ مورد دیگر

Dr. Michael Schlottke-Lakemper is a Professor of High-Performance Scientific Computing at the University of Augsburg, Faculty of Mathematics, Natural Sciences, and Materials Engineering. He previously held positions as an Interim Professor of Computational Mathematics at RWTH Aachen University (2022–2024) and led a research group at the High-Performance Computing Center Stuttgart (HLRS) from 2021 to 2024. His career includes postdoctoral roles at the University of Cologne and RWTH Aachen University/FZ Jülich. Education: Ph.D. in Mechanical Engineering, RWTH Aachen University (2017) Diplom in Aerospace Engineering, University of Stuttgart (2011) His research focuses on adaptive multi-physics simulations, research software engineering for high-performance computing (HPC), and scientific machine learning. Applications span fluid mechanics, aeroacoustics, and astrophysics, with recent work emphasizing robust high-order summation-by-parts methods and Julia-based computational frameworks like Trixi.jl and TrixiParticles.jl. His publications highlight advancements in discontinuous Galerkin methods, entropy stable schemes, and HPC optimization for compressible flows. Scientific contributions include Developing dynamic load balancing algorithms for multiphysics simulations Creating hybrid computational aeroacoustics methods Advancing Julia's adoption in HPC communities Improving error-based step size control in numerical solvers Current teaching activities include graduate seminars on Maschinelles Lernen in Theorie und Praxis and undergraduate courses in Numerische Lineare Algebra . He leads a research team at the University of Augsburg with collaborators across Germany, including Simon Candelaresi, Valentin Churavy, and Niklas Neher.

• Medieval and Modern History of Africa
• Trade in African History
• Religion and Ethnicity in African History
• +۳ مورد دیگر

Mohamed Ali is an Adjunct Professor at the Institute of African Studies and Dean of the College of Education at Lafoole, Somali National University. He holds a BA (Somali National), MA, and PhD (UCLA). His research focuses on Medieval and Modern African history, with emphasis on trade, religion, ethnicity, and African historiography. He has been a Fulbright scholar and was nominated for a Visiting Research Fellowship at UCLA's James S. Coleman African Studies Centre. His work includes analyzing linguistic approaches to Somali history and exploring the role of oral traditions in reconstructing the Horn of Africa's early history. Recent academic contributions span technical domains like control systems and AI, as seen in his 2023-2024 Google Scholar publications in robotics and deep learning. Awards: Fulbright Certificate for academic achievement Presentations: Keynotes on Somali crises, diaspora education, and linguistic historiography at international conferences (e.g., CAAS, Eliff Maay Fest) His administrative roles include leadership in education policy and conflict resolution initiatives, reflecting his dual expertise in academia and institutional development.

Harish Viswanathanمشاهده پروفایل

مدرس

• Aerodynamics
• Fluid Dynamics
• Thermofluids
• +۴ مورد دیگر

Dr. Harish Viswanathan is a Lecturer in Mechanical Engineering at the Department of Engineering and Mathematics, affiliated with the Thermofluids Group. He holds an MSc in Industrial Mathematical Modelling and a PhD in Mechanical Engineering from Loughborough University. His postdoctoral research at the University of Colorado involved collaborative work with institutions like Iowa State University and the National Energy Technology Lab. Prior to academia, he worked as an Applications Engineer at COMSOL Multiphysics and as a Technical Leader in Fuel Systems CFD at Mercedes-Benz Research and Development India. Education: MSc Industrial Mathematical Modelling, Loughborough University PhD Mechanical Engineering, Loughborough University His research focuses on aerodynamics, fluid dynamics, and thermofluids, with special interests in fuel tank filling, automotive aerodynamics, aero-vibro acoustics, and two-phase flows. He has authored numerous papers in top-tier journals like Journal of Fluid Mechanics and Physics of Fluids , and holds 8 patents with Daimler. Recent publications highlight advancements in corrugated wing aerodynamics, squareback vehicle noise reduction, and microfluidic droplet generation. His work bridges computational modeling (e.g., CAA, CFD) with practical automotive engineering challenges. He supervises doctoral students, including K.K. Chode , whose thesis on aerodynamic noise modeling was completed in 2024. His contributions to fuel system design and fluid-structure interaction have direct industrial applications. Dr. Viswanathan is actively involved in the Thermofluids Group, contributing to interdisciplinary research in automotive and aerospace engineering.

ANDREA CRIVELLINIمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Turbulence Modeling
• Numerical Analysis
• +۴ مورد دیگر

Prof. Andrea Crivellini is an Associate Professor at the Department of Industrial Engineering and Mathematical Sciences (DIISM) within the College of Engineering at Marche Polytechnic University . His research focuses on Computational Fluid Dynamics (CFD) , Turbulence Modeling , and High-Order Numerical Methods , particularly Discontinuous Galerkin (DG) solvers for fluid dynamics and turbulence simulation. Recent publications highlight his expertise in entropy-aware DG schemes, hybrid RANS/LES models, and implicit time integration for turbulent flows. He contributes to advancing CFD applications in aerospace, mechanical systems, and marine engineering. His work emphasizes numerical stability , mesh adaptivity , and high-performance computing .

Yamin Xuمشاهده پروفایل

استادیار

• Digital Arts
• 3D Modeling
• Animation
• +۱۰ مورد دیگر

Yamin Xu is an Assistant Professor in the Digital Arts department at the School of Art , Bowling Green State University. With an MFA from Northern Illinois University (2020) , his work bridges animation, coding, and electronics to explore intersections between religion and science, privacy and surveillance, and the robotic with the organic. Teaching Specializations: 3D modeling, Animation, VFX, Coding, Physical computing, Interactivity, Data Visualization, Simulation Courses Taught: ARTC 3010 (Art and Code), ARTC 3110 (3D Modeling), ARTC 4110 (Advanced 3-D Modeling), ARTC 4130 (Animation 1), ARTC 4430 (Artistic Animation Effects) Xu’s research focuses on creating hybrid art forms through emerging technologies, emphasizing feedback mechanisms to redefine artistic boundaries. His recent accomplishments include exhibitions at the 2022 IDMAA Weird Media exhibition and presentations at ACM SIGGRAPH Asia 2021 (Tokyo) and CAA 2022 .

Franck René Jacques Bertagnolioمشاهده پروفایل

پژوهشگر

• Wind Turbine Engineering
• Trailing Edge Noise
• Airfoil Design
• +۷ مورد دیگر

Franck René Jacques Bertagnolio is a Senior Scientist at the Rotors Wind Turbine Design Division of the Technical University of Denmark (DTU Wind and Energy Systems). His work focuses on wind turbine aerodynamics, aeroacoustics, and noise reduction technologies, contributing to sustainable energy systems. Role: Researcher and supervisor in wind turbine noise and flow dynamics Projects: Involved in advanced aeroacoustic modeling, vortex-induced vibration studies, and low-noise wind farm control Research Interests: Bertagnolio specializes in trailing edge noise, airfoil design, hybrid computational aeroacoustic (CAA) methods, and high-fidelity turbulence modeling. His work bridges computational fluid dynamics (CFD) with practical wind turbine performance optimization. Scientific Contributions: Recent publications highlight his expertise in boundary element methods for noise prediction, vortex dynamics in wind turbine towers, and turbulence modeling for trailing edge noise reduction. These studies align with UN Sustainable Development Goals (SDGs) for clean energy and environmental protection. Supervision: He actively mentors PhD candidates like Pindi Nataraj and Ebstrup K., focusing on aerodynamic and aeroacoustic challenges in wind energy systems.