جست‌وجوی استاد و پژوهشگر

• Earthquake Engineering
• Structural Dynamics
• Seismic Assessment
• +۳ مورد دیگر

Dr. Fırat Soner Alıcı is an Assistant Professor in the Department of Civil Engineering at Başkent University, Ankara, Türkiye. His academic career focuses on earthquake engineering and structural dynamics, with a particular emphasis on seismic assessment, energy dissipation mechanisms, and advanced analytical methods like generalized pushover analysis. PhD in Civil Engineering, Middle East Technical University (2019) MSc in Civil Engineering, Middle East Technical University (2012) BSc in Civil Engineering, Middle East Technical University (2009) Dr. Alıcı’s research spans several key areas in seismic engineering, including: Energy-based seismic design and analysis Pushover analysis for torsionally coupled systems Damping spectra and inelastic deformation estimation Seismic performance of critical infrastructure Viscous damping efficiency in earthquake response reduction Numerical simulation of protective structures His publications reflect a strong focus on both theoretical and applied earthquake engineering, covering: Input energy prediction models Viscous damping systems Hysteretic energy distribution Post-earthquake structural evaluations Generalized force vector applications Seismic isolation technologies Dr. Alıcı has received the TDMD 2021 Research Incentive Award from Türkiye Deprem Mühendisliği Derneği. His research has been supported by multiple grants as both principal investigator and researcher. He actively contributes to the academic community as a reviewer for Bulletin of the Seismological Society of America and Seismological Research Letters (2024). His work addresses critical infrastructure resilience, with applications in healthcare facilities and power substation equipment.

Jian-Guo Liuمشاهده پروفایل

استاد

• Applied Mathematics
• Partial Differential Equations
• Kinetic Theory
• +۷ مورد دیگر

Jian-Guo Liu is a Professor of Mathematics and Physics at Duke University, with primary affiliations in the Departments of Mathematics and Physics. His research encompasses applied mathematics, partial differential equations, kinetic theory, computational fluid dynamics, and stochastic algorithms. Professor Liu's work bridges theoretical modeling and numerical methods, particularly in complex systems involving nonlinear dynamics, fluid behavior, and emergent phenomena. Research interests focus on multiscale modeling of physical systems, including stochastic processes in chemical reactions, fluid-structure interactions, and materials science. Recent publications demonstrate strong emphasis on mathematical foundations of biological and physical systems, with recurring themes in Fokker-Planck dynamics, mean-field games, tumor growth modeling, and computational methods for interfacial phenomena. Publications showcase consistent focus on analytical and numerical solutions to high-dimensional problems, with applications ranging from medical imaging to electrochemistry. The work exhibits advanced techniques in asymptotic analysis, stochastic approximations, and geometric evolution equations.

Nita Bhartiمشاهده پروفایل

دانشیار

• Infectious Disease Dynamics
• Human-Pathogen-Environment Interactions
• Epidemiology
• +۵ مورد دیگر

Nita Bharti is an Associate Professor of Biology at the Pennsylvania State University , affiliated with the Center for Infectious Disease Dynamics . She investigates interactions between human behavior, pathogens, and environmental factors to inform public health strategies. Her research spans Epidemiology, Ecology, Anthropology , focusing on disease transmission dynamics and intervention effectiveness . Major scientific awards include the Lloyd Huck Early Career Professorship NSF Dynamics of Coupled Natural Human Systems grant Health and Environment Seed Grant She has pioneered innovative approaches like Mapping mobile phone data with satellite imagery for population tracking Quantifying seasonal population fluctuations via satellite Developing open-access satellite platforms for public health

• Engineering Education
• Control Systems
• Neural Networks
• +۳ مورد دیگر

J. Hellendoorn is a Professor in Mechanical Engineering at Delft University of Technology (TU Delft), specializing in control systems , engineering education , and spatial-temporal modeling . Active in research since 2013, they have contributed to transforming engineering curricula for resilient engineers and advancing lane detection technologies using deep learning. Key Research Areas: Engineering Education Reform, Autonomous Vehicle Control, Spatial-Temporal Attention Models Collaborations: European Society for Engineering Education (SEFI), IEEE Transactions Recent work includes developing robust lane detection systems with neural networks and reshaping biomedical curricula to enhance student socialization. Their research emphasizes sustainability and innovative educational frameworks , while technical contributions span vehicle dynamics and control systems. Hellendoorn's outputs include 198 research publications , with notable 2024 work on learning ecosystems and datasets for spatial-temporal deep learning models. They actively engage in editorial roles for journals like Computers in Industry and have presented at conferences since 2013.

• Systems Control
• Embedded Software Design
• Embedded Systems Performance Analysis
• +۵ مورد دیگر

Fouad KHENFRI is a Professor and researcher at ESTACA (Ecole Supérieure des Techniques Aéronautiques et de Construction Automobile) , specializing in embedded systems and control engineering. He holds a PhD in Computer Science and Applications from the University of Nantes (2016), a Master's in Automatic Control from EMP Algiers (2011), and an Engineering Degree in Automation from the University of Biskra (2008). Key research areas: Systems Control, Embedded Software Design, and Artificial Intelligence Recent publications focus on UAV control systems, Neural Architecture Search, and energy optimization Supervising doctoral students on topics including drone development and deep learning applications

Jianwen MENGمشاهده پروفایل

استادیار

• Fault diagnosis
• Fault tolerant control
• Condition monitoring
• +۵ مورد دیگر

Jianwen MENG serves as an Assistant Professor at ESTACA, where he has been an Enseignant-chercheur (Teacher-Researcher) since 2020. He is affiliated with ESTACA'Lab, the institution's research laboratory focused on embedded energy systems and transportation technologies. His academic foundation includes a PhD in Electrical Engineering from Université Paris-Saclay (2020), a Master's degree in Electronic Systems and Electrical Engineering from the University of Nantes (2017), and a Bachelor's degree in Electrical Engineering and Automation from Jimei University, China (2015). Dr. MENG specializes in fault diagnosis, fault tolerant control, and energy management systems for electric vehicles and embedded applications. His research integrates advanced control theory with machine learning to address critical challenges in battery and fuel cell technologies, particularly focusing on state estimation, degradation prediction, and real-time monitoring under operational stress. Analysis of his recent publications (2024-2025) reveals a strong interdisciplinary trajectory blending electrical engineering with artificial intelligence. Key trends include AI-enhanced battery state estimation under fast-charging conditions, reinforcement learning for energy management in hybrid vehicles, and novel fault diagnosis frameworks for electrochemical systems. His work consistently targets practical implementation in automotive applications while advancing theoretical control methodologies. He received the Best Paper Award at the IEEE Prognostics and System Health Management Conference (PHM-Paris) in 2019 for his contributions to lithium-ion battery monitoring. At ESTACA, Dr. MENG teaches multivariable systems, real-time control, rapid prototyping, and advanced simulation tools across multiple engineering program levels. His pedagogical approach emphasizes hands-on implementation of theoretical concepts in embedded systems. As a core member of ESTACA'Lab, he contributes to cutting-edge research in automotive electrification, particularly through projects involving battery management systems, fuel cell degradation modeling, and fault-tolerant control architectures for next-generation electric vehicles.

Yang Liuمشاهده پروفایل

پژوهشگر ارشد

• Non-linear elasticity
• Instabilities in soft solids
• Wave propagation
• +۲ مورد دیگر

Yang Liu is a Research Fellow at the Mathematical Institute of the University of Oxford, affiliated with the Oxford Centre for Industrial and Applied Mathematics. His research focuses on nonlinear mechanics of soft and active materials, with applications spanning biomechanics, materials science, and industrial mathematics. Research Interests: Dr. Liu's work centers on mathematical modeling of complex material behaviors including: Instabilities in soft solids (wrinkling, buckling) Wave propagation in nonlinear media Mechanics of liquid crystal elastomers Biomechanical phenomena in tissues Pattern formation in residually stressed systems Publication Trends: His recent articles (2020-2025) primarily investigate mechanical instabilities across scales – from biological systems like elephant trunks and tissues to engineered materials like liquid crystal films and porous elastomers. The work combines theoretical mechanics, nonlinear analysis, and applied mathematics to predict deformation patterns and functional responses. Awards: MECMAT Young Investigator Award (2024) for contributions to materials mechanics Marie Skłodowska-Curie Fellowship (2023) supporting advanced research in soft matter physics

• Multi-Energy Systems
• Energy Communities
• Model Predictive Control
• +۶ مورد دیگر

Dr. Saeed Adelipour is a Research Fellow at Salford Business School, University of Salford, specializing in Multi-Energy Systems and Communities . His work focuses on resilient and sustainable energy communities, particularly vehicle electrification through bi-directional smart charging technologies within the DriVe2X project (funded by EU Horizon Europe and UKRI). He previously held a Postdoctoral Researcher role at Sharif University of Technology, exploring secure multi-party computation for cyber-physical systems with grants from the Iran National Science Foundation (INSF). Education: B.Sc. in Electrical Engineering (Control Systems), Iran University of Science and Technology (2011) M.Sc. in Electrical Engineering (Control Systems), Sharif University of Technology (2013) Ph.D. in Electrical Engineering (Control Systems), Sharif University of Technology (2020) Research interests include Model Predictive Control , Decentralized Control , Privacy-Preserving Computation , and Intelligent Transportation Systems . His publications bridge control systems and cybersecurity , with recent work on secure algorithms for smart grids and electric vehicle integration. He has participated in multiple international conferences including ICEE and UKACC.

• Control Theory
• Game Theory
• Machine Learning
• +۴ مورد دیگر

Muhammad Umar B Niazi is a Marie-Curie Postdoctoral Fellow at both KTH Royal Institute of Technology and Massachusetts Institute of Technology , working under the guidance of Karl H. Johansson and Munther Dahleh respectively. Holding a Ph.D. in Automatic Control Engineering from Université Grenoble Alpes, Niazi's research spans secure monitoring of cyber-physical systems and dynamic incentive design for sociotechnical systems . Education : Ph.D. (Grenoble INP, 2021); M.Sc. & B.Sc. (Bilkent University, COMSATS) Research Directions : Secure estimation against cyberattacks in transportation networks and epidemic models Physics-informed learning for observer design in nonlinear systems Eco-driving incentives using Stackelberg game theory Aggregated monitoring of large-scale systems Scientific Contributions : 2025 publications on distributed observers and reachability analysis 2024 work on incentive mechanisms and sensor fault detection 2023 developments in physics-informed epidemic control 2022-2019 foundational work on network observability and opinion dynamics Awards : Marie-Curie Postdoctoral Fellowship (2022-2025) Best Student Paper Finalist, European Control Conference 2019 Niazi's interdisciplinary work combines control theory , game theory , and machine learning to address resilience in transportation, epidemic monitoring, and social network dynamics. His methods integrate theoretical rigor with practical implementations through tools like SUMO simulations and physics-informed neural networks.

Costantinos Zagarisمشاهده پروفایل

استادیار

• Autonomous spacecraft guidance
• Spacecraft relative motion dynamics
• Optimal control
• +۴ مورد دیگر

Costantinos Zagaris is an Assistant Professor of Aerospace Engineering at the Air Force Institute of Technology (AFIT). He earned his B.S. (2007), M.S. (2012), and Ph.D. (2018) in Astronautical Engineering from Virginia Tech, AFIT, and the Naval Postgraduate School, respectively. His military career includes roles at Edwards Air Force Base, Space and Missiles Systems Center, and Air Force Research Laboratory. B.S. Aerospace Engineering, Virginia Tech (2007) M.S. Astronautical Engineering, AFIT (2012) Ph.D. Astronautical Engineering, Naval Postgraduate School (2018) Zagaris specializes in autonomous spacecraft guidance, spacecraft relative motion dynamics, optimal control, and reachability. His work focuses on spacecraft autonomy, control algorithms, and rendezvous maneuvers with tumbling objects. His recent publications address topics such as convex-programming-based guidance, model predictive control, and reachability analysis for spacecraft proximity operations and docking. These works emphasize applications in robotic manipulation, collision avoidance, and trajectory optimization. Zagaris has conducted experimental research on hardware-in-the-loop testbeds and has contributed to guidance strategies for spacecraft rendezvous and docking with rotating bodies. His technical expertise includes spacecraft autonomy, control systems, and mission planning for space operations.

• Optical fibre sensors
• Optical fibre communications
• Solitons in nonlinear fiber optics
• +۸ مورد دیگر

Dr. Nakkeeran Kaliyaperumal is a Senior Lecturer at the School of Engineering, University of Aberdeen. He holds advanced qualifications including a PhD in Nonlinear Fibre Optics from Anna University, India, and professional certifications such as Fellow of the Institute of Physics (FInstP) and Chartered Engineer (CEng). His research spans optical fiber sensors, solitons in nonlinear fiber optics, supercontinuum generation, and photonic crystal fiber design. Education: PhD (1998) - Nonlinear Fibre Optics, Anna University MTech (1995) - Laser & Electro Optical Engineering, Anna University BEng (1993) - Electronics & Communication Engineering, CIT, Bharathiar University His scientific work focuses on modeling soft robotics, optical pulse compression, and dispersion-managed solitons. Recent publications highlight advancements in 2 μm mode-locked fiber lasers and supercontinuum comb generation. He has received significant funding from the Research Grants Council (Hong Kong), Santander Mobility Awards, and UKIERI. Scientific Awards & Grants: Santander Mobility Awards (2018) - £980 RGC Hong Kong PolyU 152173/17E (co-PI) - HK$495,846 RGC Hong Kong PolyU 152144/15E (co-PI) - HK$696,029 Dr. Kaliyaperumal supervises PhD, MEng/BEng Honours, and MSc projects while lecturing in Electronics Design and C/C++ Programming. He actively explores integrability aspects of nonlinear PDEs and semiconductor laser modeling.

• Thermoacoustics
• Combustion Dynamics
• Fluid Mechanics
• +۳ مورد دیگر

Philipp Brokof is a Researcher at the Professorship for Thermofluid Dynamics, Technical University of Munich (TUM), actively contributing to cutting-edge research in combustion systems and fluid dynamics. His work focuses on experimental and theoretical analysis of thermoacoustic phenomena within practical energy conversion systems, collaborating closely with Prof. Wolfgang Polifke's research group. Brokof's research spans thermoacoustics, combustion dynamics, fluid mechanics, and computational modeling, with specific expertise in linear stability analysis, structural sensitivity methods, and theoretical frameworks for reacting flows. He investigates critical instability mechanisms in combustion devices, including hydrodynamic shear effects in slit flames, swirling jet dynamics, and injector-coupled oscillations, aiming to develop predictive models for industrial applications. Analysis of Brokof's 2022-2024 publications reveals concentrated work on intrinsic thermoacoustic instabilities, where he advances momentum potential theory for reacting flows and develops sensitivity tools to pinpoint instability drivers. His research bridges fundamental fluid mechanics with practical combustor design, emphasizing nonlinear saturation mechanisms and acoustic-flame interactions across diverse burner configurations. Brokof has not been listed as recipient of any specific scientific awards in the provided information. However, his active publication record in high-impact journals and conferences reflects significant contributions to the field of thermoacoustics and combustion dynamics. Details about Brokof's academic advising responsibilities and research grant funding were not disclosed in the available text. As a researcher within the Thermofluid Dynamics group, he likely contributes to collaborative projects funded by national and international agencies. Brokof is embedded within TUM's Thermofluid Dynamics research group, which maintains strong industry partnerships and leads in thermoacoustic instability analysis. The team utilizes advanced computational tools and experimental diagnostics to address combustion challenges in gas turbines and rocket engines, regularly participating in international workshops like SoTiC and ICNC.

• Macroeconomics
• Fiscal Policy
• Monetary Policy
• +۵ مورد دیگر

Vivaldo Manuel Pereira Mendes is an Associate Professor in the Department of Economics at the University Institute of Lisbon (ISCTE-IUL), where he has been teaching since 1998. He is also an Affiliate Member of BRU-Iscte - Business Research Unit within the Institute of Social Sciences and Business Studies. His educational background includes a PhD in Economics from the University of Sussex (1998), a Master's degree in Economics from the University of Sussex (1991), and a Bachelor's degree in Economics from the Higher Institute of Economics and Management - UTL (1987). Mendes has held significant university leadership positions including Vice-Rector (2005-2009), President of the General Assembly (2002-2005), and Director of the Department of Economics (2010-2014). He has taught diverse courses spanning macroeconomics, microeconomics, game theory, monetary economics, and computational economics. His research portfolio demonstrates a clear evolution from theoretical macroeconomics and monetary policy toward computational economics and machine learning applications. Recent publications (2019-2024) show a strong focus on applying deep learning techniques to financial forecasting, particularly examining how data frequency impacts prediction accuracy across global markets. Mendes has published in high-impact journals including Physica A (Q1), European Physical Journal B (Q1), and Economics Bulletin (Q2), with his 2005 paper on controlling chaotic dynamics in economic models receiving 23 Google Scholar citations. He has also contributed to book chapters on spatial econometrics and optimal monetary policy. A committed advocate of open-source software, Mendes actively contributes to the Julia programming language community and maintains a personal website showcasing his academic work and computational projects.

Abi Adamsمشاهده پروفایل

پژوهشگر ارشد

• Labor Economics
• Public Policy
• Development Economics
• +۴ مورد دیگر

Dr. Abi Adams is a Research Fellow at the Institute for Fiscal Studies (IFS), specializing in applied microeconomics with expertise in labor markets, household decision-making, and development economics. Her rigorous empirical work combines revealed preference methodologies with experimental approaches to analyze critical policy issues including marriage markets, education incentives, and poverty measurement. Her research spans Labor Economics , Behavioral Microeconomics , and Public Policy Analysis , with notable contributions to understanding: Marriage market dynamics and educational attainment in developing contexts Time inconsistency in household consumption decisions Consumer consideration sets and demand responsiveness Intergenerational transfer motivations Poverty measurement methodologies accounting for differential inflation Dr. Adams' publication record demonstrates consistent methodological innovation, particularly in adapting revealed preference frameworks to complex decision environments involving subjective beliefs and heterogeneous preferences. Her work frequently employs discrete choice experiments, hypothetical vignettes, and nonparametric estimation techniques to address identification challenges in field settings. She received the ESRC Outstanding Impact in Public Policy award in 2018 for research that directly contributed to the UK Supreme Court's unanimous ruling against employment tribunal fees. This landmark policy impact highlights the real-world significance of her empirical work on labor market institutions. Her research has been published in top economics journals including The Quarterly Journal of Economics , with additional working papers through IFS and collaborations on poverty measurement affecting official statistical methodologies.

• Biometrics
• Genetics
• Animal Science
• +۳ مورد دیگر

Assoc. Prof. Dr. Serdar GENÇ is a faculty member at Ahi Evran University, Faculty of Agriculture, Department of Agricultural Biotechnology since 2015. He holds a PhD and Master's in Animal Science from Namık Kemal University and a Bachelor's in Animal Production from Ankara University. His career spans roles such as Department Vice Head and Bologna Coordinator. PhD : Animal Science, Namık Kemal University (2014) MSc : Animal Science, Namık Kemal University (2010) BSc : Animal Production, Ankara University (2006) GENÇ's research focuses on biometrics, genetics, and statistical modeling in livestock , particularly Holstein cattle, Simmental cattle, and Anatolian buffalo. He explores genetic parameter estimation, lactation curve analysis, and environmental impacts on dairy productivity. His most recent work includes comparisons of statistical models for milk yield prediction, genetic characterization of donkey populations, and applications of automatic linear modeling in agricultural data. He has led projects on genomic selection, DNA banking for local breeds, and socio-economic studies of regional agricultural products. Notable awards include the TÜBİTAK Publication Encouragement Award (2018, 2009) . He has advised over 5 Master's theses on topics like milk yield in Simmental cattle and morphometric studies in donkeys. GENÇ is actively involved in academic conferences, editorial boards, and projects related to animal genetic resource conservation , with a strong focus on data-driven approaches to livestock improvement.