Find Academic Supervisors

Amin MehrabianView profile

Associate Professor

• Mechanics of Porous Media
• Petroleum Geomechanics
• Drilling Engineering
• +4 more

Amin Mehrabian serves as an Associate Professor in the Department of Energy and Mineral Engineering within the College of Earth and Mineral Sciences at The Pennsylvania State University. His academic appointment centers on petroleum and natural gas engineering with a focus on subsurface mechanics and energy applications. He maintains active research collaborations with major energy companies and has translated academic findings into industry-deployed digital solutions. His educational background includes dual bachelor's degrees in Petroleum and Mechanical Engineering from Sharif University of Technology (2004-2005), a Master's in Mechanical Engineering from the same institution (2006), and a Ph.D. in Petroleum Engineering from the University of Oklahoma (2013). Prior to academia, he worked as a principal R&D engineer at Halliburton's Houston Technology Center. Mehrabian's research investigates coupled physical processes in porous media, including deformation, fracture mechanics, fluid transport, and electrochemical interactions. His work bridges theoretical poromechanics with practical applications in drilling, reservoir management, and energy storage. Key methodologies involve analytical modeling of nonlinear phenomena in deformable rocks and development of constitutive relations for complex subsurface systems. Analysis of his recent publications reveals consistent focus on poro-viscoelastic behavior, wellbore stability in depleted reservoirs, and nonlinear transport phenomena. His work demonstrates strong integration of geomechanics with fluid dynamics, particularly in unconventional reservoir contexts. The research shows increasing application of computational methods to solve industry-relevant problems in drilling and completion engineering. Mehrabian teaches core courses including Drilling Engineering (PNG 450), Drilling Engineering Laboratory (PNG 451), and graduate-level Coupled Flow and Deformation in Porous Media (PNG 502). His industry experience directly informs his pedagogical approach, emphasizing practical problem-solving alongside theoretical foundations. He has developed patented technologies related to managed pressure drilling and wellbore hydraulics that are implemented in field operations. His research group produces high-impact publications in top journals such as Water Resources Research, Journal of Fluid Mechanics, and Society of Petroleum Engineers Journal. The group maintains strong industry partnerships that facilitate technology transfer from academic research to field implementation, particularly in the areas of wellbore stability analysis and lost circulation mitigation.

• Hypersonic Flow
• Shock Wave/Boundary Layer Interaction
• High-Enthalpy Flows
• +6 more

Associate Professor Sudhir Gai serves as an Honorary Associate Professor at UNSW Canberra within the School of Engineering & Technology. With a distinguished career spanning over five decades, Professor Gai has established himself as a leading authority in high-speed aerodynamics, specializing in hypersonic and supersonic flow phenomena. His extensive publication record from 1969 through 2025 demonstrates sustained research excellence in shock wave/boundary layer interactions, flow separation mechanisms, and high-enthalpy flow dynamics. Professor Gai's research focuses on the complex fluid dynamics of high-speed flows, with particular emphasis on shock wave/boundary layer interactions, separation phenomena in hypersonic and supersonic regimes, and the effects of high-enthalpy conditions on aerodynamic performance. His work investigates flow behavior over various geometries including flat plates, compression corners, cavities, and blunt bodies, with significant contributions to understanding leading-edge separation effects. He employs both experimental and computational methodologies, utilizing advanced facilities like shock tunnels and wind tunnels alongside sophisticated measurement techniques such as laser-induced fluorescence velocimetry and digital streak imaging. His research has evolved from fundamental fluid dynamics investigations to more complex applications involving fluid-structure interactions and rarefied gas effects. Analysis of Professor Gai's recent publications (2018-2025) reveals continued innovation in hypersonics research, with increasing focus on rarefied gas dynamics, fluid-structure interactions, and advanced measurement techniques. His work demonstrates a progression from traditional continuum flow assumptions to more complex non-equilibrium conditions, addressing critical challenges for next-generation aerospace vehicles. The consistent publication in top-tier journals including Journal of Fluid Mechanics, Physics of Fluids, and AIAA Journal reflects the high quality and impact of his research. Professor Gai has maintained extensive collaborations with researchers including A. Khraibut, D. Exposito, A.J. Neely, S. O'Byrne, V. Sridhar, and H. Kleine, indicating a well-established research network both within Australia and internationally. His research has been supported by sustained funding in aerospace research and development, though specific grant details are not provided in the available information. Professor Gai's laboratory work involves sophisticated experimental setups capable of simulating hypersonic conditions, complemented by computational resources for numerical simulations. His research environment integrates experimental validation with theoretical modeling, providing comprehensive insights into complex flow phenomena that have significant implications for aerospace vehicle design, particularly for re-entry vehicles, spaceplanes, and high-speed missiles operating in extreme speed regimes.

• Scan-to-BIM
• Geomatics
• Building Information Modeling
• +7 more

Maarten Bassier is an Assistant Professor (tenure track) at KU Leuven, affiliated with the Department of Civil Engineering within the Faculty of Engineering Technology. He is based at the Geomatics unit operating at the Ghent and Aalst Campuses. His academic profile combines research, teaching, and institutional service, with significant contributions to the field of digital construction technologies. As senior academic staff, he serves on both the Council of the Faculty of Engineering Technology and the Civil Engineering Department Council, actively participating in institutional governance while maintaining a robust research program focused on Scan-to-BIM methodologies and geospatial applications in construction. Dr. Bassier's research centers on Scan-to-BIM methodologies, which involve converting 3D scans of existing buildings into Building Information Models. His work bridges geomatics, computer vision, and civil engineering, with applications in construction progress monitoring, infrastructure inspection, and heritage documentation. He applies machine learning techniques to automate aspects of the modeling process, particularly semantic segmentation of point clouds and integration of UAV (drone) data. His research increasingly incorporates deep learning approaches for object detection, segmentation, and completion in complex built environments, with practical applications spanning road construction, bridge inspections, and electrical substation modeling. His interdisciplinary approach connects civil engineering with computer science to solve practical construction challenges through digital innovation. Bassier's recent publication record demonstrates a strong focus on automating the Scan-to-BIM process through advanced computational techniques. His work spans multiple application domains while maintaining a consistent methodological thread of integrating sensing technologies with semantic understanding of construction environments. The trajectory of his research shows increasing sophistication in machine learning applications, moving from basic point cloud processing to complex semantic understanding and automated model generation. His publications appear in high-impact journals across civil engineering, remote sensing, and computer vision domains, reflecting the interdisciplinary nature of his work. SESAME - Semantic Segmentation of Electrical Substations and Derived Models for Engineering (2024-2026) - Promotor UAV-assisted bridge inspections (2022-2027) - Co-promotor XR-empowered dynamic reality modeling for AECO applications (2021-2026) - Co-promotor Digitization in road construction: automating as-built models (2020-2026) - Co-promotor SCAN-to-BIM Automation of as-built BIM production through digitization and machine learning (2020-2025) - Co-promotor As a member of the Division Digital and Sustainable Civil Engineering and the Subdivision Geomatics Ghent, Dr. Bassier contributes to KU Leuven's research ecosystem focused on digital transformation in civil engineering. His teaching portfolio includes courses on BIM, industrial measurements, Scan-to-BIM, 3D modeling, and geomatics, preparing the next generation of civil engineers for the digital construction landscape. His work represents the cutting edge of digital construction technologies, with practical applications that address real-world challenges in infrastructure development and maintenance.

• Heat Network Optimization
• Additive Manufacturing
• Heat Exchanger Design
• +5 more

Maarten Blommaert is an Assistant Professor at the Department of Mechanical Engineering, Faculty of Engineering Technology at KU Leuven. He leads the Applied Mechanics and Energy conversion (TME) unit at the Geel Campus and heads the Subdivisie EnergyVille TME. His research focuses on numerical optimization of thermal systems, particularly district heating networks, additive manufactured heat exchangers, and plasma-facing components for nuclear fusion reactors. Assistant Professor, KU Leuven Head, Subdivisie EnergyVille TME Member, KIES Institute Member, Leuven.AM Institute Member, EnergyVille Blommaert's research explores three main areas: heat network optimization through automated design tools like PATHOPT, additive manufacturing of high-performance heat exchangers, and thermally resistant wall modules for nuclear fusion reactors. His work combines computational modeling with advanced manufacturing techniques to enhance energy efficiency and reduce carbon emissions. Scientific awards include collaborative research contributions in: Optimizing district heating networks for renewable energy integration Developing next-generation heat exchangers Advancing nuclear fusion reactor technology Blommaert actively supervises research projects in thermal-fluid systems and collaborates with institutions like VITO and EnergyVille. His research team IDEAL (Innovative Design for Energy Applications Lab) specializes in free-shape and topology optimization techniques for energy components and systems.

Mohammad Hassan KayhaniView profile

Associate Professor

• Heat Transfer
• Combustion
• Fluid Dynamics
• +4 more

Dr. Mohammad Hassan Kayhani is an Associate Professor in the Faculty of Mechanical Engineering at Shahrood University of Technology, Iran. He holds a Ph.D. in Heat and Fluids and has established himself as a leading researcher in heat transfer, combustion, and fluid dynamics. With over 2000 citations on Google Scholar (h-index 41) and 1500+ citations on Scopus (h-index 74), his work has significantly impacted the fields of viscoelastic flow, porous media, and multiphase systems. Dr. Kayhani's research interests span a wide range of topics in thermal and fluid sciences. He specializes in heat transfer phenomena, combustion processes, two-phase flow dynamics, viscoelastic fluid behavior, and transport in porous media. His work often combines experimental, numerical, and theoretical approaches to address complex problems in energy systems, oil recovery, and thermal management. Notably, he has made significant contributions to understanding droplet dynamics, viscous fingering instabilities, and film cooling techniques for gas turbine applications. Analysis of Dr. Kayhani's recent publications reveals a strong focus on advanced fluid dynamics phenomena, particularly involving non-Newtonian and viscoelastic fluids. His work bridges fundamental fluid mechanics with practical applications in energy systems, oil recovery, and thermal management. A significant portion of his research investigates multiphase flow behavior, interfacial phenomena, and instability mechanisms in various engineering contexts. Dr. Kayhani has successfully supervised numerous graduate students, with 84 theses listed under his guidance. His students have pursued research in diverse areas including combustion, heat transfer, fluid dynamics, and energy systems. While specific grant information isn't provided in the available text, his extensive publication record and thesis supervision suggest successful research funding. His laboratory work appears to focus on experimental fluid dynamics, heat transfer measurements, and computational modeling of complex flow phenomena. The research involves advanced techniques such as lattice Boltzmann methods, experimental flow visualization, and thermal measurements in various engineering systems.

• Statistical Physics
• Transport Theory
• Anisotropic Fluids
• +8 more

Prof. Dr. Siegfried Hess is a Professor at the Technical University of Berlin, where he heads the Statistical Physics: Transport Theory group at the Institute of Theoretical Physics. He served as speaker of the Sonderforschungsbereich 605 "Elementarreibereignisse" until December 2001 and was involved with SFB 335 "Anisotrope Fluide" until December 1998. Prof. Hess received his doctorate in 1967 from Erlangen with the thesis "Verallgemeinerte Boltzmanngleichung für mehratomige Gase" under the supervision of Ludwig Waldmann. His academic genealogy traces back to Albert Einstein with an Einstein number of 3 through Arnold Sommerfeld and Ludwig Waldmann. His research spans multiple areas of statistical physics and transport phenomena with particular focus on: Anisotropic fluids and liquid crystals (nematic, cholesteric, smectic, discotic, cubatic) Molecular dynamics simulations of complex fluids Non-Newtonian viscosity and plastic flow behaviors Thermodynamic properties and transport coefficients Boundary and surface effects in fluid systems Relaxation processes near phase transitions Prof. Hess has supervised numerous PhD students and postdoctoral researchers who have contributed to fields including polymer physics, colloidal systems, and liquid crystal dynamics. His research group maintained strong collaborations through multiple DFG-funded research centers and organized regular seminars on statistical physics topics. His methodological approach combined irreversible thermodynamics, kinetic theory (Boltzmann, Kirkwood-Smoluchowski, and Fokker-Planck equations), and molecular dynamics simulations to investigate complex fluid behavior under various conditions.

Christoph LehrenfeldView profile

Professor

• Numerical Methods for Partial Differential Equations
• Finite Element Methods
• Advanced Finite Element Methods
• +6 more

Christoph Lehrenfeld is a Professor (W2) at the University of Göttingen , affiliated with the Institute for Numerical and Applied Mathematics . His research focuses on advanced numerical techniques for solving partial differential equations, particularly in fluid dynamics and moving domain problems. Doctorate in Mathematics from RWTH Aachen (2015) Diploma in Computational Engineering Science from RWTH Aachen (2010) Lehrenfeld specializes in Unfitted Finite Element Methods , Space-Time Finite Element Methods , and Hybrid Discontinuous Galerkin Methods . His work addresses challenges in High Order Finite Element Methods and Numerical Analysis , particularly for evolving domains and complex interface problems. Recent publications highlight his contributions to Unfitted Space-Time Methods and Trefftz-like Discretization , with applications in Convection-Diffusion Equations and Second-Order Scalar Elliptic PDEs . He is actively involved in software development, including Netgen/NGSolve and its add-ons ngsxfem , which facilitate geometrically unfitted FEM implementations. Additionally, he has created educational tools like the FEStokes-RePair card game to engage students and researchers in finite element concepts.

• Sustainable Aerospace Engineering
• Conceptual Aircraft Design
• Propulsion Systems
• +3 more

Dr Albert Stevan van Heerden is a Lecturer in Aerospace Engineering at the James Watt School of Engineering, University of Glasgow. Previously, he was a Research Fellow at Cranfield University's Rolls-Royce University Technology Centre and Centres for Aeronautics and Propulsion and Thermal Power Engineering. He holds a PhD in Aerospace Engineering from Cranfield University, an MS in Aeronautics from California Institute of Technology (Fulbright scholar), and a BEng in Mechanical Engineering from the University of Pretoria. His research focuses on conceptual aircraft design , airframe and propulsion systems development , and technical/economic assessment of sustainable aerospace technologies . He employs deterministic and non-deterministic design methods, with a unique emphasis on evolvable aircraft family design for long-term relevance. His work spans traditional civil transport aircraft, electric aircraft , and hydrogen-powered aircraft systems. Key publications include advancements in set-based design techniques margin allocation strategies hydrogen propulsion systems thermal management frameworks uncertainty allocation methods . Scientific recognition includes Fellow of the Higher Education Academy (FHEA) Member of the Royal Aeronautical Society (MRAeS) . He also serves as Academic Adviser for the Commonwealth Scholarship Commission and Academic Ambassador for the James Watt School of Engineering. His teaching portfolio includes Thermodynamics 2, Aircraft Design 3, and Fluid Mechanics (University of Glasgow Singapore), reflecting his expertise in core aerospace disciplines.

Nathaniel J. FischView profile

Professor

• plasma physics
• nuclear fusion
• plasma processing
• +12 more

Nathaniel J. Fisch is Professor of Astrophysical Sciences at Princeton University and serves as Associate Director for Academic Affairs at the Princeton Plasma Physics Laboratory (PPPL). He also directs the Princeton University Program in Plasma Physics and previously chaired the Division of Plasma Physics of the American Physical Society in 1998. Professor Fisch's research spans plasma physics with applications to nuclear fusion, plasma processing, plasma devices, lasers, and astrophysics. His specific interests include plasma thrusters, plasma-based separation methods, laser-based plasma accelerators, atomic radiation in plasmas, complex liquids, continuum electrohydrodynamics, petroleum refining, statistical inference, and pattern recognition. His work bridges fundamental plasma theory with practical applications, particularly in fusion energy research and plasma technologies. His publication record shows decades of significant contributions to plasma physics, with particular emphasis on wave-particle interactions, current drive mechanisms, and alpha channeling techniques. He has published over 300 papers, demonstrating sustained research productivity and leadership in the field. Professor Fisch collaborates extensively with researchers at PPPL, Princeton, and other major plasma research institutions worldwide. His recent work focuses on plasma mass filtering for nuclear waste remediation, advanced concepts for fusion energy, and novel laser-plasma interaction schemes that could lead to breakthroughs in plasma-based technologies. As Director of the Princeton University Program in Plasma Physics, he plays a significant role in shaping plasma physics education and research at Princeton. His continued publication record through 2016 indicates his ongoing active engagement in research and academic activities at Princeton University and PPPL.

Fabrice NeyretView profile

Researcher

• Computer Graphics
• Volumetric Textures
• Real-time Rendering
• +4 more

Fabrice Neyret is a senior CNRS researcher in Computer Graphics and head of the MAVERICK team (formerly ARTIS- EVASION ) within the LJK laboratory at Université Grenoble Alpes and INRIA Rhône-Alpes, France. Education PhD in Computer Science, INRIA Rocquencourt, 1996 Diplôme d’Ingénieur, Télécom Paris (ENST), 1991 DESS Ingénierie Mathématique, 1989 Maîtrise d’Ingénierie Mathématique, 1988 Licence de Mathématiques, 1987 Research Interests Neyret’s work centers on Computer Graphics with a strong focus on procedural modeling , real-time rendering of natural phenomena , and GPU acceleration . He investigates volumetric textures, clouds, smoke, rivers, lava, and forests, aiming to bridge physics-based models with efficient, user-friendly methods for video production and interactive applications. Scientific Output & Trends His publications span over two decades and highlight a consistent emphasis on real-time realistic rendering of complex natural scenes. Key themes include volumetric rendering (GigaVoxels), procedural noise, GPU-friendly algorithms, and simulation of dynamic phenomena such as convective clouds, ocean waves, and lava flows. Awards & Recognition Multiple film-festival selections for scientific visualizations (e.g., Eurographics, Festival du Film Scientifique de Palaiseau, Festival international du film scientifique de Parmes) Invited seminars at MIT, University of Toronto, University of Montréal, and others Advising & Teaching Neyret has supervised more than 30 PhD and Master students since 1997, covering topics from fractal noise rendering to large-scale volumetric visualization. He teaches in the Master DEA IVR program and offers internships and postdoc positions regularly. Teams & Labs He leads the MAVERICK research team, hosted jointly by the LJK laboratory (Université Grenoble Alpes) and INRIA . The team’s infrastructure includes access to high-end GPU clusters and collaborative links with Weta Digital and other international partners.

Sarah FranklinView profile

Associate Professor

• Chromatin Remodeling
• Epigenetics
• Proteomics
• +3 more

Sarah Franklin is an Associate Professor of Cardiovascular Medicine at the University of Utah School of Medicine, where she leads research on epigenetic regulation of heart disease. She also serves as Assistant Director for the Rural & Underserved Utah Training Experience (RUUTE) program, mentoring students through summer research initiatives. Education: B.S. and Ph.D. in Molecular Biology from Brigham Young University Her research focuses on chromatin remodeling and histone modifications in cardiac hypertrophy and failure, utilizing proteomics, animal models, and biochemical approaches. Recent work explores SMYD1a's role in mitochondrial protection and translational applications for ischemic injury. The 15 most recent publications highlight her contributions to proteomic analysis of cardioprotective therapies (2025), genetic cardiomyopathy mechanisms (2023-2024), and foundational studies on chromatin structure in cardiac physiology (2011-2016). Key subfields include histone methylation, mitochondrial dynamics, and rural medical education.

Alastair WarkView profile

Senior Lecturer

• Nanotechnology
• Optical Imaging and Spectroscopy
• Bioanalytical Chemistry
• +7 more

Alastair Wark serves as a Senior Lecturer in Pure And Applied Chemistry at the University of Strathclyde, where he leads research in nanomaterial synthesis, optical imaging, and bioanalytical applications. His multidisciplinary work bridges chemistry, physics, engineering, and medicine to develop novel nanotechnologies for real-time biomolecular monitoring. His research focuses on creating advanced nanomaterials and optical techniques for ultrasensitive detection, including single-particle tracking methods and multimodal imaging systems. Key areas include surface plasmon resonance, shell-isolated nanoparticle spectroscopy (SHINERS), and hybrid nanostructures for cellular interaction studies, contributing significantly to UN Sustainable Development Goals through biomedical applications. His publication trends reveal consistent contributions to nanotechnology and analytical chemistry, with emphasis on single-molecule detection, nanoparticle functionalization, and biomedical sensor development. Recent work integrates prosthetics research through EPSRC-funded projects. Andersonian Centenary Prize (1993) Carnegie Undergraduate Scholarship (1994) He actively supervises PhD students and collaborates across disciplines, evidenced by participation in 22 projects including the EPSRC Centre for Doctoral Training in Prosthetics & Orthotics. His laboratory utilizes specialized equipment including darkfield/fluorescence microscopy and Nanosight systems for nanoparticle characterization, supporting research in complex biological environments.

• Condensed Matter Physics
• Biophysics
• Nanotechnology
• +2 more

Professor Kislon Voitchovsky is the Head of Condensed Matter Physics and a Professor in the Department of Physics at Durham University, where he is also affiliated with the Biophysical Sciences Institute. His research bridges condensed matter physics, biophysics, and nanotechnology, focusing on nanoscale phenomena at biological and synthetic interfaces. Research Interests: Voitchovsky's work explores the molecular-scale behavior of complex systems, including lipid membranes, nanoparticle interactions, ionic dynamics at solid-liquid interfaces, and advanced atomic force microscopy (AFM) techniques. His group studies hydration landscapes, nanomechanical properties, and electrokinetic processes to understand fundamental interfacial science with applications in biomedicine, energy, and materials design. Recent Publications: His 2023-2025 publications emphasize nanoscale mapping of hydration, ionic ordering, lipid membrane mechanics, and nanoparticle-biomembrane interactions. These works demonstrate consistent innovation in high-resolution AFM methodologies and molecular dynamics simulations to probe interfacial phenomena in biological and environmental contexts. Supervision: He currently mentors five PhD students: Amal Alamri, Ke Sun, Michael Rennick, Ruth McTiernan, and Thomas Williamson. Labs & Teams: As Head of Condensed Matter Physics, Voitchovsky leads a research group specializing in nanoscale characterization, leveraging AFM and computational tools to study soft matter and biological interfaces.

Barbara Rita AlevriadouView profile

Professor

• Cardiopulmonary physiology
• Cardiovascular Disease
• Metabolism
• +12 more

Barbara Rita Alevriadou is a SUNY Empire Innovation Professor in the Department of Biomedical Engineering at the University at Buffalo – The State University of New York , with an adjunct appointment in the Department of Chemical and Biological Engineering . Her research bridges cardiovascular physiology , molecular signaling , and mitochondrial function to understand vascular dysfunction in diseases like atherosclerosis and diabetes. Education: PhD, Chemical Engineering, Bioengineering & Biosciences Institute, Rice University (1992) BS, Chemical Engineering, Aristotle University (1986) Research Interests: Vascular mechanobiology and endothelial mechanotransduction Calcium and reactive oxygen species signaling Mitochondrial function in cardiovascular disease Signal transduction in ischemia-reperfusion injury Publications Trends: Focus on mitochondrial Ca²⁺ uniporter dynamics Role of shear stress in vascular repair and disease Interplay between reactive oxygen species and apoptosis Computational modeling of endothelial responses Monocyte adhesion mechanisms in myocardial infarction Redox regulation in vascular mechanotransduction Scientific Awards: BMES Fellow (2024) American Physiological Society STAR Reviewer (2016) Certificate of Recognition, SfRBM (2016) Board of Directors, BMES (2014–2017) Welch Foundation Graduate Fellowship (1992) Grants: NIH/NHLBI R01 HL142673 (2018–2022): $1.82M AHA Grant-In-Aid (2016–2018): $154K NIH/NHLBI R21 HL106392 (2011–2013): $423K NIH/NHLBI R21 HL091417 (2008–2009): $410K NIH/NHLBI R01 HL067027 (2001–2006): $1.25M Laboratory: Director, Alevriadou Vascular Mechanobiology Laboratory (AVML) Focus: molecular mechanisms of endothelial dysfunction in cardiovascular disease

Didier TheilliolView profile

Professor

• Fault Tolerant Control
• Control Engineering
• Aerospace Systems
• +3 more

Didier Theilliol is a Professor of Control Engineering at the University of Lorraine, France, since 2004. He holds a Ph.D. in Control Engineering from Nancy-University (1993). He was awarded the CAS Visiting Professorship by the Chinese Academy of Sciences (CAS) in 2012, during which he collaborated with the Shenyang Institute of Automation (SIA) on flight control and fault-tolerant systems. His research focuses on model-based fault diagnosis (FDI), fault-tolerant control (FTC) for complex systems, and reliability analysis, with applications in aerospace, industrial automation, and robotics. Education: Ph.D. in Control Engineering (Nancy-University, 1993). Research interests include advanced control strategies for linear and nonlinear systems, multi-agent coordination, and safety-critical applications. His work integrates theoretical advancements with practical implementations across industries such as steel production, wastewater treatment, and aerospace. Notable contributions include methodologies for degradation management, distributed observer design, and health-aware control. Recent article trends emphasize fault-tolerant control in multi-agent systems, reinforcement learning for safety-critical tasks, and integration of physics-informed neural networks for system modeling. His publications span topics from model-based diagnostics to real-world applications in UAVs and propulsion systems. Awards: CAS Visiting Professorships for Senior International Scientists (2012). Collaborations include co-working with SIA’s rotorcraft UAV project team and leading European R&D initiatives. He serves as Associate Editor for ISA Transactions and Unmanned Systems , and chairs conferences on fault-tolerant control systems. His research also extends to Bayesian networks for system reliability and particle filter-based prognostics in industrial settings. Labs/Teams: Active in the State Key Laboratory of Robotics (visited during his CAS tenure) and coordinates projects within the German-French Institute for Automation and Robotics.