جست‌وجوی استاد و پژوهشگر

Mirzet Sehoمشاهده پروفایل

مدرس ارشد

• Islamic Finance and Banking
• FinTech
• Corporate Finance
• +۵ مورد دیگر

Dr. Mirzet Šeho is a Senior Lecturer at the School of Business, Monash University Malaysia, where he contributes significantly to teaching, research, and academic leadership. With nearly fifteen years of combined industry and academic experience, he has established himself as a leading voice in Islamic finance, fintech, and financial economics. He plays a pivotal role in developing innovative fintech curricula that blend academic rigor with real-world industry insights. PhD in Islamic Finance, International Centre for Education in Islamic Finance (2018) Dr. Šeho's research centers on Islamic finance and banking, corporate finance, financial economics, and fintech. His work explores critical issues such as the stability of dual-banking systems, the impact of interest rates on Islamic financial instruments, and the role of finance in energy justice and sustainable development. He actively investigates how diversification strategies influence bank risk and returns, particularly in mixed financial environments. His recent publications, primarily from 2020 to 2024, reflect a strong trend toward empirical and policy-relevant research in Islamic and conventional banking systems. These works frequently appear in high-impact journals such as the Pacific Basin Finance Journal and International Review of Finance , with a methodological emphasis on econometric modeling, including GMM techniques. The interdisciplinary nature of his research is evident in contributions linking finance with energy justice and sustainable development goals. Dr. Šeho has been honored with three major scientific awards: Best Paper Award by the Journal of Muamalat and Islamic Finance Research (2016) Pacific-Basin Finance Journal Best Paper Award (2018) Pacific-Basin Finance Journal Best Paper Award (2019) He is actively involved in academic advising, currently accepting PhD students, and has contributed to research grants and projects through collaborative international research. His academic service includes peer review for journals like Applied Finance Letters and Journal of International Financial Markets, Institutions and Money , editorial responsibilities, and participation in major conferences such as the 14th Financial Markets and Corporate Governance Conference 2024, where he served as both speaker and session chair. Dr. Šeho is affiliated with research networks focusing on Islamic finance and fintech, collaborating with scholars from Malaysia, Bosnia and Herzegovina, and beyond. His work is disseminated not only in scholarly outlets but also through press and media features, demonstrating his commitment to public engagement and policy impact.

Tauhidul Alamمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Motion Planning
• +۱ مورد دیگر

Tauhidul Alam serves as Assistant Professor in the Department of Computer Science within the College of Arts and Sciences at Louisiana State University Shreveport (LSUS), where he has taught since 2019. His research focuses on advancing autonomous robotic systems through innovations in artificial intelligence and cyber-physical applications. Dr. Alam holds a Ph.D. in Computer Science awarded in 2018. His scholarly work centers on robotics challenges including motion planning for underwater vehicles, multi-robot coordination under resource constraints, and energy-aware autonomous navigation. Key research domains span artificial intelligence, cyber-physical security using blockchain, and persistent monitoring in constrained environments. Analysis of his 14 recent publications reveals a strong emphasis on solving real-world robotics problems in marine and aquatic settings. His work consistently addresses uncertainty handling, multi-agent coordination, and security vulnerabilities, with increasing integration of data-driven methodologies across autonomous systems research. Scientific recognition includes: Best Student Paper Finalist at MTS/IEEE OCEANS Conference (2018) Dr. Alam teaches undergraduate courses including Computer Architecture (CSC 242), Database Systems (CSC 315), and Artificial Intelligence (CSC 465), alongside graduate-level instruction in Programming Languages (CSC 620) and Cloud Computing (CSC 690). Information regarding advised students, research grants, or laboratory affiliations is not specified in available materials.

Ben Andrewsمشاهده پروفایل

استاد

• Differential Geometry
• Partial Differential Equations
• Geometric Analysis
• +۳ مورد دیگر

Ben Andrews is a Professor and ARC Laureate Fellow at the Centre for Mathematics and its Applications within the Mathematical Sciences Institute at the Australian National University (ANU). He holds multiple prestigious fellowships including Fellow of the Australian Academy of Science, Fellow of the American Mathematical Society, and Fellow of the Australian Mathematical Society. His office is located in Room 2131B of the John Dedman Mathematical Sciences Building. Andrews received his BSc and PhD from ANU. His research spans multiple areas of geometric analysis with particular focus on differential geometry and partial differential equations. His work includes extensive investigations into curvature flows, geometric evolution equations, and their applications to problems in mathematical physics. Andrews' research demonstrates a consistent focus on understanding curvature flows from multiple perspectives - developing new techniques like non-collapsing estimates, cylindrical estimates, and modulus of continuity methods. His work bridges pure mathematics with applications in physics and geometry, with significant contributions to understanding the asymptotic behavior of geometric evolution equations. His publications reveal a progression from foundational work on curve shortening and Gauss curvature flows to more complex settings including hypersurfaces in non-Euclidean spaces and flows with non-smooth speeds. Fellow of the Australian Academy of Science Fellow of the American Mathematical Society Fellow of the Australian Mathematical Society ARC Laureate fellow As an ARC Laureate fellow, Andrews leads significant research initiatives in geometric analysis. He has supervised numerous PhD students including Charles Baker, Huy Nguyen, Chris Hopper, Paul Bryan, and Julie Clutterbuck, many of whom have become active researchers in geometric analysis. His collaborative work spans multiple institutions and has resulted in fundamental contributions to the field of geometric evolution equations. Andrews is an active member of the Applied and Nonlinear Analysis Research Group within the Mathematical Sciences Institute at ANU, where he contributes to both research and academic community building through seminars and collaborative projects.

Cheng Huangمشاهده پروفایل

استادیار

• Computational Fluid Dynamics
• Aerospace Propulsion
• Data-driven Modeling
• +۳ مورد دیگر

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.

• Control Systems
• Petroleum Engineering
• Machine Learning
• +۳ مورد دیگر

Alexey Pavlov is a Professor of Petroleum Cybernetics at the Department of Geosciences and Petroleum, Norwegian University of Science and Technology (NTNU). He holds an MSc in Applied Mathematics from St. Petersburg State University, a PhD in Mechanical Engineering from Eindhoven University of Technology, and has industrial R&D experience from Statoil and Ford Motor Co. Education: MSc (Applied Mathematics, St. Petersburg State University), PhD (Mechanical Engineering, Eindhoven University) His research focuses on control systems for petroleum engineering applications, including nonlinear control theory, iterative learning control, and data-driven optimization methods. Publications reveal a strong emphasis on real-time drilling optimization, well integrity monitoring, and synchronization in networked systems. Recent work trends include machine learning integration for oil well monitoring, moment matching in model reduction, and extremum seeking control for multi-agent systems. Collaborations span institutions like Ford Motor Co., Statoil, and Eindhoven University of Technology. Current affiliations include the Department of Geosciences and Petroleum at NTNU. No scientific awards or advisee information is explicitly mentioned in the provided texts.

Mika Sillanpääمشاهده پروفایل

استاد

• Quantum Technology
• Nanophysics
• Microwave Optomechanics
• +۵ مورد دیگر

Mika Sillanpää is a Professor at the Department of Applied Physics , Aalto University , and serves as a Professor (Associate Professor) at the Centre of Excellence in Quantum Technology and the Quantum Nanomechanics group. His research focuses on experimental superconducting nanoelectronics at milli-Kelvin temperatures, particularly Josephson junction quantum circuits and microwave optomechanics. Doctoral degree from Helsinki University of Technology (2005) Master's degree from Helsinki University of Technology (1999) Research Interests: Prof. Sillanpää has pioneered low-noise amplification schemes using microwave optomechanics and demonstrated quantum squeezing/entanglement in micromechanical devices. Key projects include GUANTUM (quantum-gravity limits) and MQSens (quantum sensing with mechanical resonators). Scientific Contributions: His work spans quantum back-action evading measurements, noiseless amplification, and TLS detection in resonators. Recent publications highlight Casimir force measurements between superconductors and long-lived electromechanical systems using silicon-carbide membranes. ERC Consolidator Grant (2013) ERC Starting Grant (2009) IUPAP C5 Young Scientist Prize (2011) Väisälä Prize (2015)

Andreas Kugiمشاهده پروفایل

استاد

• Control Theory
• Automatic Control
• Complex Dynamical Systems
• +۶ مورد دیگر

Andreas Kugi is the Scientific Director at the AIT Austrian Institute of Technology and a full professor of Complex Dynamical Systems at TU Wien (Vienna University of Technology) in the Faculty of Electrical Engineering and Information Technology, Institute of Automation and Control. He has held significant academic and leadership roles across Europe, including professorships at Saarland University and offers from TU Dresden and KIT. His research focuses on the modeling, control, and optimization of complex dynamical systems , with strong applications in mechatronics, robotics, and industrial automation . He has led major research centers such as the Christian Doppler Laboratory for Model-Based Process Control in the Steel Industry and the Center for Vision, Automation & Control at AIT. His work bridges theoretical control design and real-world industrial implementation. The recent publications reflect a consistent focus on nonlinear, hybrid, and distributed parameter systems , with applications in robotics, manufacturing, energy, and process industries. His research integrates advanced control theory with practical engineering challenges, emphasizing real-time optimization, robustness, and system efficiency. Scientific Awards: Mechatronic Systems Outstanding Investigator Award (IFAC, 2022) Goldene Stefan-Ehrenmedaille (OVE, 2023) 16 best paper awards Andreas Kugi has supervised over 50 completed PhD dissertations and has been deeply involved in research leadership, including serving as Editor-in-Chief of Control Engineering Practice (2010–2017) and Vice President of the OVE Austrian Electrotechnical Association (2017–2023). He has secured and led numerous research grants, particularly through industrial collaborations in automation and process control. He leads and contributes to major research initiatives, including the Center for Vision, Automation & Control at AIT and the Christian Doppler Laboratory , fostering interdisciplinary teams focused on industrial digitalization and smart systems.

Michael A. Liebermanمشاهده پروفایل

استاد

• Plasma Physics
• Plasma Chemistry
• Materials Processing
• +۳ مورد دیگر

Michael A. Lieberman is a Professor in the Graduate School at the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. He joined UC Berkeley in 1966 and has received numerous accolades, including the Distinguished Teaching Award (1971) and Guggenheim Fellowship (1972-1973). His research focuses on low-temperature plasma physics and chemistry, particularly plasma-assisted materials processing, capacitive/inductive discharges, and nonlinear plasma dynamics. Education: Ph.D., Electrical Engineering, Massachusetts Institute of Technology (1966) B.S./M.S., Electrical Engineering, Massachusetts Institute of Technology (1962) Research Interests: Prof. Lieberman's work bridges fundamental plasma theory and industrial applications. Key areas include: Modeling of electromagnetic effects in capacitive discharges Hybrid analytical/numerical simulations of plasma processes Nonlinear wave phenomena in RF plasmas Plasma-material interactions for semiconductor fabrication Development of global models for atmospheric-pressure discharges Current projects (2018-2019) involve 2D fluid-analytical simulations, high-pressure discharge modeling, and particle-in-cell methods. Publications Focus: Recent articles emphasize computational plasma physics, including PIC simulations of transport phenomena, sheath dynamics in electronegative plasmas, and resonance effects in RF heating. His work consistently advances predictive modeling for industrial plasma applications. Awards & Honors: AVS Plasma Science Prize (2022) NPSS Marie Curie Award (2020) Will Allis Prize (2006) Von Engel Prize (2005) IEEE Plasma Science Award (1995) Fellowships: APS, AAAS, IEEE, AVS, IPCS, IOP Collaborations & Support: Collaborates extensively with Prof. A.J. Lichtenberg (nonlinear dynamics/plasma textbooks). Research funded by DOE Office of Fusion Energy Sciences and Applied Materials/Display (AKT). Maintains active international partnerships in plasma diagnostics and simulation.

Ali Coruhمشاهده پروفایل

استاد

• Condensed Matter Physics
• Nanotechnology
• Materials Science
• +۳ مورد دیگر

Prof. Dr. Ali Coruh is a distinguished faculty member at Sakarya University 's Faculty of Science, Department of Physics , where he has served as Head of the General Physics Department since 2022. With a career spanning over three decades, his expertise lies in Condensed Matter Physics , Nanotechnology , and Materials Science , focusing on perovskite oxides , adsorbent materials , and supercapacitor applications . PhD in Physics, Middle East Technical University (2003) MSc in Physics, Sakarya University (1996) BSc in Physics, Karadeniz Technical University (1989) His research interests include computational modeling of molecular structures, environmental pollutant removal using nanomaterials, and electrochemical properties of advanced materials. Recent studies focus on pharmaceutical pollutant recovery via organoclay composites, Pd-doped perovskites for biosensing, and perovskite oxides for energy storage. His work bridges theoretical and experimental approaches in solid-state physics and environmental remediation . The article trends show consistent contributions to Journal of the Taiwan Institute of Chemical Engineers , Chemical Engineering Journal , and Journal of Energy Storage , with a focus on adsorption mechanisms , electrocatalysis , and nanocomposite synthesis . Collaborations span international institutions, including studies on supercapacitor electrode materials and microwave absorbing textiles . As an academic leader, he has supervised 14 doctoral and master's theses , including works on molecular dynamics , perovskite oxides , and nanoparticle-based sensors . He has also served on editorial boards for journals like Materials Chemistry and Physics (2010-2013) and contributed to TUBITAK Olympiad training .

Bin Hanمشاهده پروفایل

استاد

• Computational Mathematics
• Numerical Partial Differential Equations (PDEs)
• Applied Harmonic Analysis
• +۴ مورد دیگر

Bin Han is a Professor of Mathematics at the Department of Mathematical and Statistical Sciences , University of Alberta, Canada. He holds a PhD (1998), MSc (1994), and BSc (1991) in Mathematics from the University of Alberta, Chinese Academy of Sciences, and Fudan University, respectively. Research Interests: Computational Mathematics: High-order finite difference methods, numerical solutions of PDEs (Helmholtz, elliptic interface, Burgers' equations), and Fourier/wavelet-based algorithms. Applied Harmonic Analysis: Framelets/wavelets with applications in image processing, data sciences, and deep learning, focusing on directional and quasi-tight properties. Wavelet Theory: Construction of wavelets on bounded intervals for boundary value problems, Gibbs phenomenon analysis, and stability of refinable functions. Computer Aided Geometric Design (CAGD): Subdivision schemes, spline approximation, and isogemetric analysis. Article Trends: His recent work (2021-2022) emphasizes high-order finite difference methods for Helmholtz and interface problems, directional tensor product complex tight framelets for image processing, and quasi-tight framelets with balancing orders for robustness and sparsity. Scientific Awards: NSERC Postdoctoral Fellowship (1999-2000) Advising & Grants: He has supervised PhD students Qiwei Feng, Michelle Michelle, Ran Lu, and Chenzhe Diao. His research is supported by NSERC, Westgrid, Compute Canada, and MITACS.

Otto Felixمشاهده پروفایل

استاد

• Micromagnetics
• Coarsening
• Stochastic Homogenization
• +۳ مورد دیگر

Felix Otto is a Professor and Director at the Max Planck Institute for Mathematics in the Sciences (Leipzig, Germany) since 2010. Previously, he held Full Professorships at the University of Bonn (1999–2010) and the University of California, Santa Barbara (1998–1999). His research focuses on applied mathematics, including micromagnetics, coarsening dynamics, stochastic homogenization, and hydrodynamic limits. He has received prestigious awards such as the Gottfried Wilhelm Leibniz Prize (2006) and the Max Planck Research Prize (2001). Education: 1993 PhD in Mathematics (advisor S. Luckhaus), University of Bonn 1990 Diploma in Mathematics (advisor G. Dziuk), University of Bonn Research interests emphasize the interplay between analysis, probability, and physics, particularly in understanding complex systems through rigorous mathematical methods. His work on gradient flows and optimal transport has led to foundational contributions in applied mathematics. Awards: Collatz Prize (2007) Membership in Berlin-Brandenburg Academy (2014) Leopoldina Academy (2008) Professional activities include roles as Editor of Archive for Rational Mechanics and Analysis and advisory roles at institutions like the Weierstrass Institute and Fondation Mathématique Jacques Hadamard.

• Scientific Computing
• Numerical Methods
• Computational Cardiology
• +۵ مورد دیگر

Luca Pavarino is a Professor at the Department of Mathematics, University of Pavia. His research focuses on scientific computing and numerical methods, particularly in the context of cardiac electrophysiology and multiphysics systems. He leads the Scientific Computing group, specializing in domain decomposition methods (BDDC/FETI-DP), isogeometric analysis, and parallel algorithms. His work integrates advanced numerical techniques with biomedical applications, including cardiac electromechanical coupling, drug testing on cardiac tissues, and modeling genetic cardiac disorders like LQT8 syndrome. Key contributions include scalable solvers for nonlinear systems, preconditioners for heterogeneous media, and operator learning for ionic dynamics. Research interests span computational cardiology, numerical analysis, and parallel computing, with applications to biophysics and drug discovery. His projects often involve interdisciplinary collaborations between mathematics, engineering, and medicine. Notable contributions include: Development of BDDC/FETI-DP preconditioners for cardiac models Integration of machine learning with cardiac electrophysiology High-performance computing for multiphysics systems (Biot’s consolidation, protein stability) Labs/Teams: Scientific Computing Group at the University of Pavia’s Department of Mathematics.

• Laser Modification of Materials
• Thin Films of Semiconducting Oxides and Nitrides
• Glassy Materials and Applications
• +۷ مورد دیگر

Daniel G Georgiev is a Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo's College of Engineering. He has been on faculty since Fall 2006, following prior roles as a research faculty member at Wayne State University's Center for Smart Sensors and Integrated Microsystems (SSIM). Education : M.S. in Engineering Physics (Quantum Electronics and Laser Equipment) from Sofia University (1994), Ph.D. in Electrical Engineering (Electronic Materials and Devices) from the University of Cincinnati (2003). Research Interests : Dr. Georgiev's work focuses on laser modification and micro-structuring of materials, thin films of semiconducting oxides/nitrides (e.g., NiO, Zn3N2), glassy materials, metal whiskers (Sn, Cu), wide bandgap semiconductors (GaN, Zn3N2), photovoltaics, and biomedical device applications. His expertise spans device fabrication, material characterization, and radiation effects. Article Trends : Recent publications emphasize GaN-based power electronics, hybrid edge termination structures, threshold switching in nanocircuitries, and material innovations via reactive sputtering. Subfields include laser microstructuring, whisker suppression in Sn films, and doping strategies for nitride semiconductors. Collaborations : Co-authorship with researchers across institutions, including contributions to biomedical implants, II-VI nanocrystals, and chalcogenide glasses.

• Ultrasonics
• Guided Waves
• Time-Reversal Acoustics
• +۵ مورد دیگر

Claire Prada is a CNRS Research Director at the Institut Langevin , specializing in laser ultrasound , guided wave propagation , and time-reversal acoustics . Her work bridges fundamental wave physics and applied nondestructive testing. Research Pillars : Zero-group-velocity (ZGV) Lamb modes for material characterization Anisotropic wave propagation and negative refraction phenomena Time-reversal operator decomposition for structural monitoring Passive acoustic defect localization with ambient noise Technological Innovations : Fourier-domain reconstruction algorithms for 3D imaging Single-pixel photoacoustic microscopy Adaptive projection methods for rib-cage ultrasound focusing Wave Physics Discoveries : Documentation of power flux skewing in anisotropic plates Identification of beating resonance patterns in elastic media Experimental validation of negative reflection in chaotic waveguides Medical & Industrial Applications : Quantitative elastography for tissue stiffness measurement Jet engine blade damage detection Cortical bone femoral neck assessment Thin layer thickness measurement via ZGV resonance shifts

Mathukumalli Vidyasagarمشاهده پروفایل

استاد

• Machine Learning
• Systems and Control Theory
• Computational Biology
• +۴ مورد دیگر

Mathukumalli Vidyasagar is a Distinguished Professor at the Indian Institute of Technology Hyderabad and previously held the SERB National Science Chair and Cecil & Ida Green Chair in Systems Biology Science at the University of Texas at Dallas. He earned his Ph.D. from the University of Wisconsin, Madison, and has authored 13 books and over 160 peer-reviewed papers.