جست‌وجوی استاد و پژوهشگر

• Electrical Engineering
• Modeling and Simulation
• Machine Learning
• +۵ مورد دیگر

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

Ahmad Fakheriمشاهده پروفایل

استاد

• Heat Transfer
• Fluid Mechanics
• Thermodynamics
• +۳ مورد دیگر

Ahmad Fakheri is Professor of Mechanical Engineering at Bradley University’s Caterpillar College of Engineering & Technology . He has served the university for more than two decades, including as Interim Associate Provost & Dean of the Graduate School (1996-1998) and Director for Research & Sponsored Programs (1992-1996). A triple alumnus of the University of Illinois at Urbana-Champaign (B.S., M.S., Ph.D., all in Mechanical Engineering), he is an ASME Fellow recognized for exceptional research and service. Education Ph.D., Mechanical Engineering, University of Illinois at Urbana-Champaign M.S., Mechanical Engineering, University of Illinois at Urbana-Champaign B.S., Mechanical Engineering, University of Illinois at Urbana-Champaign Research Interests Dr. Fakheri’s scholarship lies at the intersection of heat transfer , fluid mechanics and thermodynamics , with concentrated effort on heat-exchanger design and optimization . His work employs second-law analysis, entropy-generation minimization and advanced numerical techniques to enhance thermal efficiency and guide sustainable energy-system development. Scientific Awards & Honors Fellow, American Society of Mechanical Engineers (ASME) Outstanding Research Award, Bradley College of Engineering Outstanding Service Award, ASME Process Industries Division NASA Summer Faculty Fellow, NASA Lewis Research Center Caterpillar Fellows Program Research Award Leadership & Service Within ASME he has chaired the Process Industries Division (6,000+ members) and the Manufacturing Technical Group (10,000+ members), served on the Board on Research and Technology Development, and acted as Technical Program Chair for the 2012 ASME International Mechanical Engineering Congress. On campus he has been a member of the University Senate and has led curriculum-reform initiatives. Laboratory & Teaching Dr. Fakheri teaches undergraduate and graduate courses such as Heat Transfer , Advanced Heat Transfer , Advanced Fluid Dynamics and Advanced Computer-Aided Design , integrating computational tools and real-world design projects that connect classroom theory to industrial practice.

• Constructive Approximation
• Radial Basis Function Networks
• Neural Networks
• +۴ مورد دیگر

Prof. Dr. rer. nat. habil. Detlef Hauke Mache is a full Professor of Mathematics and Applied Mathematics at the TH Georg Agricola University of Applied Sciences in Bochum, Germany, within the Faculty of Electrical Engineering, Information Technology, and Industrial Engineering. Since 2003, he has held the chair for Applied Mathematics with a focus on Constructive Approximation. Education: Diploma in Mathematics and Computer Science, University of Dortmund (1988) Doctoral degree (Dr. rer. nat.) in Mathematics, University of Dortmund (1991) Habilitation (Dr. habil.) in Mathematics, University of Dortmund (1997) Research Interests: Prof. Mache's research spans Constructive Approximation Theory , emphasizing the development and analysis of approximation methods. He explores Radial Basis Function (RBF) Networks and their applications in neural networks and fuzzy logic. His work integrates theoretical foundations with practical algorithms, particularly in numerical analysis and approximation techniques. Key areas include: Neural Networks and Fuzzy Logic Systems Quasi-Interpolation Methods Orthogonal Polynomial Expansions Integral Transforms and Convolution Structures Publications and Editorial Contributions: Prof. Mache has authored over 30 peer-reviewed papers and edited several volumes in approximation theory. His research trends indicate a focus on advancing approximation methods through theoretical insights and practical applications in neural networks and computational intelligence. Scientific Awards and Honors: While no specific awards are listed, his extensive editorial roles and habilitation qualification signify recognition in his field. Teaching and Advising: He teaches courses in Higher Mathematics, Applied Mathematics, Differential Equations, and Numerical Analysis. While no specific students are named, his long-standing academic positions suggest significant contributions to graduate education. Laboratories and Teams: As a professor in the Faculty of Electrical Engineering and Information Technology, he likely collaborates with interdisciplinary teams, though no specific labs are mentioned.

BRUNO DUPIREمشاهده پروفایل

مدرس

• Volatility Modeling
• Stochastic Volatility
• Financial Derivatives
• +۳ مورد دیگر

Bruno Dupire is a Lecturer and influential figure in quantitative finance, currently affiliated with Bloomberg in New York since 2004. He previously led derivatives research teams at Société Générale, Paribas, and Nikko FP. His groundbreaking work on volatility modeling includes the Local Volatility Model (1993) and subsequent advancements in stochastic volatility and volatility derivatives. Fields: Volatility Modeling, Stochastic Volatility, Financial Derivatives Scientific Awards: Risk magazine Hall of Fame (2002) Wilmott Award for Cutting Edge Research (2006) ICBI Global Derivatives Industry Survey recognition (2006) His research focuses on extending the Black-Scholes-Merton framework, developing Monte Carlo methodologies, and exploring arbitrage pricing models. Recent publications analyze free boundary problems, path-dependent options, and optimal process approximation techniques.

Yonathan Shapirمشاهده پروفایل

استاد

• Theoretical Condensed-Matter Physics
• Statistical Mechanics
• Disordered Systems
• +۶ مورد دیگر

Professor Yonathan Shapir is a full Professor in the Department of Physics at the University of Michigan, with a joint appointment in Chemical Engineering. Since his arrival in 1985, he has advanced from Assistant Professor to full Professor, pursuing theoretical condensed-matter physics and statistical mechanics. Education: B.Sc. in Physics, Tel-Aviv University (1971) Ph.D. in Physics, Tel-Aviv University (1981) Research Interests: Professor Shapir’s work centers on understanding complex disordered systems through statistical mechanics. His investigations encompass critical phenomena in spin-glasses and random-field systems, classical and quantum transport in dirty metals leading to the metal-insulator transition, polymer statistics, fractal properties of percolation clusters, and kinetic models of surface growth and aggregation. These themes are unified by a deep interest in scaling laws, universality, and the emergent geometry of random media. Publication Trends: Between 2001 and 2010, his articles reveal a concentrated effort on diffusion in dynamically disordered environments, scaling behavior of growing surfaces, and the morphology of organic thin films such as pentacene. Earlier work (1996–2000) explored critical dynamics of dendrimers, surface growth on disordered substrates, and transitions in crystalline roughness. The breadth spans from fundamental statistical-physics questions to applications in materials science and organic electronics. Scientific Awards: Fulbright Award (1981) Bourse Joliot-Curie (1982) Visiting Compton Fellowship at the Technion (1989–1990) Advising & Grants: No explicit lists of students or current funding are provided in the material; however, his extensive publication record with numerous co-authors suggests active mentoring and collaboration. Future directions likely continue along the interface of statistical mechanics and nanoscale materials. Labs & Teams: While no specific laboratory names are given, Professor Shapir’s joint appointment implies active participation in both the Physics Department and the Chemical Engineering program, fostering interdisciplinary teams working on materials growth, transport phenomena, and computational statistical physics.

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.

Irina Overeemمشاهده پروفایل

دانشیار

• Earth surface process modeling
• coastal and river geomorphology
• sedimentary systems
• +۳ مورد دیگر

Irina Overeem is an Associate Professor and Deputy Director of the Community Surface Dynamics Modeling System (CSDMS) at the Department of Geological Sciences, University of Colorado Boulder. Her research focuses on Earth surface process modeling, with emphasis on coastal and river geomorphology in remote and polar regions. PhD: Delft University of Technology (2002) MS: Wageningen University (1996) BS: Wageningen University (1993) Her work investigates sediment fluxes in Greenland rivers, Arctic coastal erosion, and floodplain sedimentation through integrated field studies and numerical modeling. She specializes in using CSDMS tools for predictive simulations of water, sediment, and nutrient fluxes across landscapes. Recent publications highlight her contributions to permafrost dynamics, carbon budgets in icy rivers, and FAIR principles for open-source geoscience software. Her research spans from fjord environments to high-mountain erosion dynamics. Science Communication Fellowship (2015) National Oceanographic Partnership Program Award (2010) Outstanding Student Award, Netherlands (1996) Tropenfonds scholarship (1994) She mentors graduate students in sedimentary process modeling, leads CSDMS working groups on coastal dynamics and education, and teaches courses in sedimentary systems modeling, geomorphology, and field methods. Her work combines field measurements with computational approaches in the Cryosphere and Surface Processes Lab.

Seden Acun Özgünlerمشاهده پروفایل

استاد

• Durability
• Damage
• Maintenance and Repair in Architectural Structures
• +۵ مورد دیگر

Prof. Dr. Seden Acun Özgünler is a faculty member at the Faculty of Architecture, Istanbul Technical University , where she has served as Professor since 2021. Her research spans material science in architecture, focusing on durability, maintenance, and sustainable building technologies . She has supervised numerous theses and led projects on natural binders, thermal insulation, and historical preservation . Education: PhD in Building Science (Dr), Istanbul Technical University. Academic Roles: Department Head (2023), Associate Professor (2013-2021), Research Assistant (1999-2003). Research Trends include: Material Innovation: Mycelium-based composites, natural hydraulic binders, and geopolymer concrete. Sustainability: LCIA models, waste material utilization, and energy-efficient designs. Historical Preservation: Volcanic tuff conservation, grouting methods for masonry repair, and adaptive reuse of structures. Scientific Awards: 2nd Young Türkiye Summit Academy Award (2017) for Mimar Sinan Cultural Wealth Preservation. Publication-based Academic Performance Awards (2022, 2025) from Istanbul Technical University. Key Projects involve biocomposite materials, natural cement reproduction, and chromic glass applications in facades. Her work bridges traditional building techniques with modern sustainability through experimental and computational approaches.

• Computational hydroacoustics
• Vibroacoustics
• Flow-induced noise and vibrations
• +۱۰ مورد دیگر

Mahmoud Karimi is a Senior Lecturer at the School of Mechanical and Mechatronic Engineering , University of Technology Sydney (UTS), leading the Vibroacoustics Research Group within the Centre for Audio, Acoustics and Vibration. He holds a PhD in Mechanical Engineering from UNSW with specialization in vibration and acoustics, and has conducted visiting research at University of Cambridge, Technical University of Munich, and INSA Lyon. His research focuses on computational hydroacoustics, vibroacoustics, and uncertainty quantification in noise/vibration problems. Academic Leadership : Editor-in-Chief of Acoustics Australia since 2025 Research Income : Attracted $6M in competitive grants ($2M as Chief Investigator) since 2017 Technical Expertise : Specializes in acoustic black hole structures, flow-induced vibration modeling, and leak detection in buried pipelines Scientific Awards : Recipient of ARC DECRA Fellowship (DE190101412) 2019-2022 Research Trends : His 91+ publications demonstrate expertise in hybrid acoustic modeling techniques, sustainable hempcrete development, and vibration energy harvesting solutions with applications in mining, rail systems, and water infrastructure. International Collaborations: University of Cambridge (UK), Technical University of Munich (Germany), INSA Lyon (France) Teaching Portfolio: Advanced numerical methods, dynamics & control, and computational modeling at UTS

• Special functions
• Fractional calculus
• Mathematical Physics
• +۲ مورد دیگر

Praveen Agarwal is a Professor of Mathematics at the Department of Mathematics, International College of Engineering, located near Kanota, Agra Road, Jaipur-303012, Rajasthan, India. He also maintains a significant affiliation with the Lepage Research Institute in Slovakia. His academic profile demonstrates a strong international presence with collaborations spanning multiple continents. Dr. Agarwal's research expertise centers on Special functions , Fractional calculus , and Mathematical Physics . His work in fractional calculus represents cutting-edge contributions to this specialized mathematical field, developing theoretical frameworks with applications across diverse scientific disciplines. His research in special functions has led to numerous extensions and generalizations of classical mathematical constructs, creating innovative tools for solving complex differential equations. In mathematical physics, he applies rigorous analytical techniques to model physical phenomena, particularly those involving wave propagation, diffusion processes, and energy systems. Analysis of Dr. Agarwal's extensive publication record reveals a sophisticated approach to fractional-order differential equations with applications spanning viscoelastic wave behavior, neural networks, energy storage systems, and biomedical engineering. He frequently develops novel mathematical methods, including specialized integral transforms and polynomial-based solution techniques, to address complex nonlinear systems. His research consistently bridges pure mathematical theory with practical engineering applications, particularly in areas requiring precise modeling of memory effects and non-local phenomena. The interdisciplinary nature of his work is evident in publications addressing both theoretical mathematics and practical engineering challenges. Dr. Agarwal maintains active research collaborations with prestigious institutions worldwide, including The Union of Czech Mathematicians and Physicists, University of Prešov in Prešov, Eötvös Loránd University, Italian Society for General Relativity and Gravitation, Transilvania University of Brasov, VŠB-TU Ostrava, and Lodz University of Technology. These international partnerships reflect the global recognition of his contributions to mathematical sciences and demonstrate his ability to work across disciplinary boundaries to solve complex problems.

• Remote Sensing
• Synthetic Aperture Radar (SAR)
• Subsurface Imaging
• +۷ مورد دیگر

Keith Morrison is a Professor at the University of Reading, affiliated with the School of Mathematical, Physical and Computational Sciences and the Department of Meteorology. His research focuses on advanced remote sensing techniques, particularly synthetic aperture radar (SAR), for environmental monitoring and subsurface imaging. Institution: University of Reading School: School of Mathematical, Physical and Computational Sciences Department: Department of Meteorology Research Focus: Radar Remote Sensing, Soil Moisture, Peatlands, Subsurface Scattering His research interests lie in the development and application of radar systems for Earth observation. He specializes in SAR-based methods such as tomographic profiling, interferometry, and virtual bandwidth SAR (VB-SAR) to study soil moisture dynamics, peatland hydrology, forest structure, and subsurface features. His work bridges physics, signal processing, and environmental science, enabling improved understanding of ecosystem processes through microwave remote sensing. The analysis of his recent publications reveals a strong focus on C-band and S-band SAR applications, particularly in explaining anomalous backscatter due to subsurface scattering in dry soils and peatlands. He has pioneered techniques like VB-SAR for centimeter-scale vertical profiling from space, contributing significantly to the accuracy of soil moisture and vegetation parameter retrievals. His work increasingly integrates laboratory experiments, field studies, and satellite data for robust validation. Although no formal awards are listed in the provided text, his sustained contributions to high-impact journals such as IEEE TGRS, Remote Sensing of Environment, and International Journal of Remote Sensing suggest recognition within the scientific community. Morrison has supervised and collaborated with numerous researchers, including Edwards-Smith, Zwieback, Andre, and Bennett. While formal student advising is not detailed, his role as a senior author and frequent collaborator indicates mentorship responsibilities. He has been involved in projects related to peatland monitoring, forest biophysical retrieval, and SAR-based change detection, likely supported by research grants from UK and European funding bodies. He contributes to major international conferences such as IGARSS, EUSAR, and IEEE RadarCon, demonstrating active engagement in the global radar and remote sensing community. His work supports future advancements in satellite-based environmental monitoring, particularly in carbon-rich ecosystems like peatlands and forests.

Klaus Mosthafمشاهده پروفایل

دانشیار

• Contaminant Transport in Porous Media
• Groundwater Contamination
• Numerical Modeling
• +۱۰ مورد دیگر

Klaus Mosthaf is an Associate Professor in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU), where he conducts research on contaminant transport and numerical modeling in porous and fractured media. His work focuses on protecting groundwater resources through advanced modeling of contamination from substances like PFAS, chlorinated solvents, and pesticides. He is actively involved in teaching and academic leadership, coordinating the Nordic Masters program Enviro5Tech and the Sino-Danish Center module on Pollutants and Pollution Control. Research Interests: Transport processes in porous media Groundwater contamination and remediation Numerical modeling of reactive transport Aquifer Thermal Energy Storage (ATES) Fractured and variably saturated geologies Coupled porous-medium and free-flow systems His recent publications reveal a strong focus on PFAS fate, bioremediation in ATES systems, and tracer-based characterization of glacial tills. He employs tools like COMSOL Multiphysics, Python, and FEFlow to develop predictive models grounded in laboratory and field data. Scientific Contributions: Active contributor to over 60 publications in hydrogeology and environmental engineering Key developer of models for coupled processes in subsurface systems Organizer and speaker at international conferences on multiphase flow and contaminant transport Advising and Grants: Klaus Mosthaf supervises multiple PhD students and has coordinated significant research projects, including those on PFAS transport and bioremediation. He is the main supervisor of two active PhD projects and has previously co-supervised two others. His leadership extends to board membership in the Danish Academy of Technical Sciences on Soil and Groundwater (ATV Jord og Grundvand), where he fosters collaboration among academia, consultants, and public authorities. Laboratories and Research Groups: His work is conducted within DTU Sustain, a leading research environment in environmental engineering, where he collaborates with experts in hydrogeology, bioremediation, and sustainable technologies. He is deeply integrated into a network of national and international collaborators focused on groundwater protection and sustainable subsurface utilization.

Mario Trappمشاهده پروفایل

استاد

• Resilient Cognitive Systems
• Safety Assurance of AI-based Systems
• Self-Adaptive Software Systems
• +۷ مورد دیگر

Prof. Dr. Mario Trapp is a Full Professor and Chairholder of Engineering Resilient Cognitive Systems at the Technical University of Munich (TUM), within the TUM School of Computation, Information and Technology. He is also the Executive Director of the Fraunhofer Institute for Cognitive Systems IKS in Munich, leading a major research institute focused on the safe integration of artificial intelligence into critical systems. Education: PhD in Computer Science, TU Kaiserslautern, 2005 (with distinction) Habilitation in Computer Science, TU Kaiserslautern, 2016 Studied Technoinformatics / Computer Science, TU Kaiserslautern His research centers on resilient cognitive systems , where he combines expertise in model-based safety engineering with self-adaptive software systems. He advocates for safe intelligence , emphasizing that AI must be engineered to be both intelligent and safe, particularly in domains like autonomous driving and medical technology. His work addresses the challenge of ensuring dependability in open, adaptive systems where traditional safety methods fall short. The available publications reflect a consistent focus on dynamic safety assurance, adaptive certification, and runtime risk management for complex, open systems. His research trajectory shows a deep commitment to foundational methods that enable systems to maintain safety despite uncertainty and change. Scientific Affiliations and Recognition: Member, Bavarian State Government’s Council on AI (Bayerischer KI-Rat) Member, Bavarian State Ministry’s AI – Data Science Expert Panel Former Adjunct Professor, Department of Computer Science, TU Kaiserslautern Prof. Trapp is actively involved in technology transfer, advising numerous industrial partners on safety-critical software and AI assurance. He is a frequent speaker and author on the topics of AI safety, software engineering, and resilience. He leads a research team at Fraunhofer IKS focused on developing architectures and methods for dependable cognitive systems.

Taehyung Kimمشاهده پروفایل

دانشیار

• Power Electronics
• Motor Drives
• Automotive Engineering
• +۳ مورد دیگر

Taehyung Kim is an Associate Professor at the University of Michigan-Dearborn in the Department of Electrical and Computer Engineering , College of Engineering and Computer Science. His research focuses on power electronics , motor drives , and electric/hybrid power systems for vehicles and aircraft , with an emphasis on renewable energy integration and fault-tolerant control . Education Ph.D., Electrical & Computer Engineering, Texas A&M University M.S., Electrical Engineering, Korea University B.S., Electrical Engineering, Korea University His research interests include energy conversion systems, power electronics for electric vehicles, evaluation and diagnosis of AC motors, and position sensorless control of permanent magnet motors. He leads the KIM Laboratory , which explores unmanned aerial vehicles (UAVs) , battery systems , and powertrain reliability . The 15 most recent articles (2024-2021) highlight his work on hybrid UAVs , fault detection algorithms , cost-effective converters , and powertrain optimization . These publications span power electronics , renewable energy integration , and electric propulsion systems , with applications in transportation electrification and industrial power systems . Scientific Awards NSF Mid Career Advancement Award, 2023 IEEE-IAS Prize Paper Award (2nd Place), 2012 Best Paper Award, IEEE Transportation Electrification Conference, 2021 Listed in "World Top 2% Scientists" (Stanford University, 2020-2024) Listed in Marquis Who’s Who in America Technical Program Co-Chair, 2009 IEEE Vehicle Power and Propulsion Conference Prof. Kim has advised numerous PhD and Master’s students , including Feng Zhou , Sreekanthreddy Chalapala , and Sahithya Parvathareddy . He has secured significant grants from the NSF , Department of Energy , and industry partners like Ford, focusing on smart monitoring , fault identification , and energy management for electrified systems. His lab’s facilities include advanced power electronics labs and hybrid powertrain testing environments .

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.