جستجوی استاد راهنمای دانشگاهی

João Tovar Jallesمشاهده پروفایل

دانشیار

• Macroeconomics
• Public Finance
• Applied Econometrics
• +۳ مورد دیگر

João Tovar Jalles serves as a Senior Associate Professor of Economics at the University of Lisbon's Lisbon School of Economics and Management (ISEG), with over 15 years of expertise spanning macroeconomics, public finance, and applied econometrics. His career includes significant roles at the International Monetary Fund (2014-2019), OECD (2012-2014), European Central Bank (2011-2012), and Portuguese Public Finance Council (2019-2020), alongside teaching appointments at Sciences Po, University of Aberdeen, and Cambridge University. He ranks among the top 1% of global economic authors (IDEAS database) and serves as Associate Editor of the Public Finance Review. His academic credentials include: Aggregation in Economy (2023) from Universidade de Lisboa, ISEG PhD in Economics (2011) from University of Cambridge MSc in Economics (2008) from University of Warwick BSc in Economics (2006) from Universidade Nova de Lisboa Dr. Jalles' research centers on fiscal policy dynamics, climate-economy interactions, and institutional efficiency, with particular focus on emerging markets. His work examines how decentralization affects environmental outcomes, how fiscal space influences pandemic responses, and the relationship between tax structures and income inequality. He employs advanced econometric techniques to analyze cross-country datasets, emphasizing policy-relevant insights for sustainable development. Recent publications (2024-2025) reveal a pronounced shift toward integrating climate risk into macroeconomic modeling, with 60% of his work now addressing environmental-fiscal linkages. His studies consistently demonstrate how natural disasters reshape intergovernmental fiscal relations and how climate shocks propagate through sovereign bond markets, establishing him as a leading voice in climate macroeconomics. Professional recognition includes: Top 1% ranking among 67,861 economic authors globally (IDEAS/RePEc database) Dr. Jalles actively supervises Master's students at ISEG, guiding research on renewable energy transitions, unconventional monetary policy spillovers, and pandemic-climate interactions. His consultancy work with international organizations focuses on fiscal sustainability frameworks and tax reform implementation in developing economies, directly influencing policy design in Portugal, Asia, and Africa. He contributes to ISEG's research ecosystem through the Policy Lab and Data Lab, where his team develops real-time fiscal monitoring tools and climate stress-testing models for government institutions, bridging academic research with practical policy applications.

Ajay Vikram Singhمشاهده پروفایل

دانشیار

• Combustion and Reacting flows
• Experimental Combustion and Fluid Dynamics
• Computational Fluid Dynamics
• +۱۹ مورد دیگر

Dr. Ajay V. Singh is an Associate Professor in the Department of Aerospace Engineering at the Indian Institute of Technology Kanpur, India. He leads the Combustion and Propulsion Laboratory and has established himself as a leading researcher in combustion science and propulsion technology in India. His work on detonation physics has positioned IIT Kanpur at the forefront of this field with the unveiling of "India's First Detonation Tube Research Facility". Dr. Singh's educational background includes: PhD in Mechanical Engineering from University of Maryland, College Park (2015) M.Tech in Aerospace Engineering from Indian Institute of Technology Kanpur (2008) B.Tech in Mechanical Engineering from U.P. Technical University, Lucknow (2006) His research spans fundamental and applied aspects of combustion science with particular focus on high-speed propulsion systems, detonation cycle engines, gas turbine combustion, soot formation and oxidation, flame-synthesized functional nanoparticles, and fire dynamics. His innovative work bridges theoretical understanding with practical applications in aerospace propulsion, energy systems, and fire safety engineering. The media has widely covered his research, with features in India Today, Times of India, Hindustan Times, and Republic Bharat. Dr. Singh's publication record shows a clear trend toward increasingly sophisticated detonation research and fire dynamics studies, with recent work focusing on turbulent wind-driven flames, detonation inhibition mechanisms, and alternative fuel combustion. His articles consistently address challenges in high-speed propulsion and fire safety, demonstrating both theoretical depth and practical relevance. His scientific contributions have been recognized with numerous prestigious awards including the Distinguished Paper Award from the Combustion Institute (the only faculty member in India to receive this honor), a nomination for the Silver Combustion Medal, multiple Best Paper Awards, and the Exemplary Performance in Teaching Award. As an educator and mentor, Dr. Singh has guided numerous PhD and Master's students through their research. His Combustion and Propulsion Laboratory is supported by multiple research grants from agencies including ISRO, ARDB, SERB, and ANRF. He has developed specialized courses including "Explosion and Detonation Physics," which is the first of its kind at IIT Kanpur. Dr. Singh's laboratory serves as a hub for cutting-edge research in combustion science, featuring India's first Detonation Tube Research Facility and advanced experimental setups for studying flame dynamics, soot formation, and detonation physics. His international collaborations include institutions such as Stanford University, University of Maryland, Peking University, and Beijing Institute of Technology.

Chadi Barakatمشاهده پروفایل

پژوهشگر

• Internet Measurement
• Network Traffic Analysis
• Quality of Experience (QoE)
• +۳ مورد دیگر

Chadi Barakat is a Senior Researcher (Directeur de Recherche) at Université Côte d'Azur's Inria research center, leading the DIANA project-team. He holds a PhD in Computer Science from University of Nice Sophia Antipolis (2001) and Habilitation (HDR) in 2009, with academic credentials from Lebanese University (1997) and French institutions. PhD: Computer Science (2001), University of Nice Sophia Antipolis HDR: Computer Science (2009), University of Nice Sophia Antipolis Master's: Computer Science (1998), University of Nice Sophia Antipolis BSc: Electrical & Electronics Engineering (1997), Lebanese University His research focuses on Internet measurement and traffic analysis , with significant contributions to Quality of Experience (QoE) modeling, 5G/ICN/SDN network architectures , and network performance evaluation . Recent articles highlight browser-based network monitoring, fidelity-aware network emulation, and ray tracing optimization for radio frequency mapping. He has supervised 12 PhD students to completion and currently directs the Academy of Excellence 'Networks, Information, and Digital Society' at Université Côte d'Azur. His work has received multiple best paper awards at CNSM, CloudNet, and SECON conferences, while serving as associate editor for Elsevier Computer Networks journal and active in ACM/IEEE conference committees. Director, Academy of Excellence 'Networks, Information, and Digital Society' (2025-present) Senior IEEE Member (2010) & ACM Senior Member (2018) General Co-Chair: ACM IMC 2022, ACM CoNEXT 2012 Guest Editor: IEEE JSAC special issue on Internet Sampling

Tim Rogersمشاهده پروفایل

استاد

• Stochastic Processes
• Random Matrix Theory
• Collective Behavior
• +۴ مورد دیگر

Professor Tim Rogers is affiliated with the University of Bath as a faculty member in the Department of Mathematical Sciences . He is actively involved in research spanning complex systems, network theory, and stochastic processes. PhD in Random Matrix Theory from King's College London (2010) His research focuses on emergent behavior in random systems , including: Collective Behavior : Crowd dynamics, lane formation, and noise-enhanced synchronization Epidemics & Networks : Spread prediction, node risk assessment, and misinformation impacts Ecology & Evolution : Trait emergence, species boundaries, and demographic noise effects Random Matrix Theory : Spectral analysis and applications to complex systems Publication trends reflect interdisciplinary work bridging Physics, Biology, and Mathematics , with a focus on network structures , stochastic modeling , and emergence phenomena . Scientific awards include: 2015 : Editor's Choice for Europhys. Lett. 109, 28005 2016 : Highlight of Journal of Physics A 2017 : Editor's Suggestion for Phys. Rev. E 92, 032708 He has supervised numerous PhD students and postdocs on projects related to stochastic dynamics , network modeling , and mathematical biology , with ongoing grants from agencies like EPSRC and The Leverhulme Trust .

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Lung-Pan Cheng is an Associate Professor in the Department of Computer Science and Information Engineering at National Taiwan University, where he leads the Human-Computer Interaction Laboratory. His research focuses on bridging the gap between physical and virtual realities through innovative interface technologies. Cheng's research expertise spans human-computer interaction, augmented/virtual reality, and tactile feedback systems. His work explores how people exist across three types of reality: physical reality governed by physics, imagined realities where things act by wishes, and programmable virtual realities. By examining the mismatches between these realities, Cheng develops novel interfaces, techniques, and devices that extend and interface these realities toward an ultimate unified experience. His recent publications reveal strong trends in haptic feedback systems, procedural generation in VR, and tangible interaction techniques. Cheng's work often involves creating physical props and mechanisms that enhance virtual experiences, with a particular focus on how humans can interact with and manipulate virtual objects through physical interfaces. His research has significant implications for VR training, gaming, and therapeutic applications. Best Paper Award at CHI 2022 for AirRacket: Perceptual Design of Ungrounded, Directional Force Feedback to Improve Virtual Racket Sports Experiences SIC People's Choice Award at UIST 2022 for Garnish into Thin Air Cheng has secured numerous research grants supporting his work in VR and haptic interfaces, with collaborations spanning multiple institutions. His laboratory develops working prototypes that demonstrate practical applications of his theoretical concepts, often resulting in award-winning publications at top HCI conferences. Current projects appear to focus on advanced fabrication techniques for interactive objects, perceptual illusions in VR, and novel haptic feedback mechanisms that don't require traditional grounded hardware. The Human-Computer Interaction Laboratory under Cheng's direction consists of graduate students and researchers working on various aspects of tangible and virtual interfaces. The team frequently publishes in premier venues like CHI, UIST, and IEEE VR, demonstrating consistent productivity and impact in the field. Current research directions include density-varying soft fabrication, polarized light mosaics, and systems for creating infinite virtual spaces within limited physical environments.

• Digital Communications
• Signal Processing
• Networking
• +۳ مورد دیگر

Mahsa Derakhshani is a Senior Lecturer (equivalent to Associate Professor) in Digital Communications at Loughborough University's Wolfson School of Mechanical, Electrical and Manufacturing Engineering. She leads research in the Signal Processing and Networks Research Group (SPNRG) and serves as an Associate Editor for the IET Signal Processing Journal. Her academic journey includes a PhD from McGill University (2013), followed by postdoctoral roles at the University of Toronto and Imperial College London. Key awards include the Royal Academy of Engineering/The Leverhulme Trust Research Fellowship (2020-21) and NSERC Postdoctoral Fellowships (2015-2017). Research interests focus on digital communications, machine learning for signal processing, wireless networks, and reinforcement learning applications. Recent work addresses challenges in satellite communications, OTFS modulation, and opto-physiological monitoring. She has authored over 70 publications spanning topics like NOMA systems, MIMO optimization, and edge-assisted live streaming. Education: PhD (McGill, 2013), MSc (Sharif University, 2008), BSc (Sharif University, 2006) Affiliations: IEEE Senior Member, IET Member, Fellow of the Higher Education Academy Grants & Funding: Leverhulme Trust, Royal Academy of Engineering, NSERC Labs/Teams: Active in SPNRG and collaborates on projects involving 5G/6G networks, satellite systems, and biomedical signal processing. Current research emphasizes AI-driven solutions for communication networks and wearable health monitoring technologies.

Youngchul Raمشاهده پروفایل

دانشیار

• Combustion Modeling
• Computational Fluid Dynamics (CFD)
• Internal Combustion Engines
• +۴ مورد دیگر

Dr. Youngchul Ra is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University. He holds a PhD from MIT (1999) and degrees from Seoul National University. His expertise includes computational fluid dynamics (CFD), combustion modeling, chemical kinetics, and alternative fuel research. His work focuses on advanced combustion strategies like Gasoline Compression Ignition (GCI), engine CFD code development, and high-performance computing. Education: PhD in Mechanical Engineering, Massachusetts Institute of Technology (1999) Masters and Bachelors in Mechanical Engineering, Seoul National University Research Interests: Developing multi-component fuel models for real-world applications Optimizing six-stroke GCI engines with advanced valve technologies Reducing emissions via combustion control and injection strategies Parallel computing techniques for large-scale engine simulations Recent work emphasizes oxygenated fuels in GCI engines and parametric studies of combustion efficiency. His CFD models are validated against experimental data for accuracy. His research has led to advancements in low-temperature combustion and emission reduction without explicit awards listed. He collaborates on engine design optimization and fuel formulation projects.

• Materials Science
• Condensed Matter Physics
• Disordered Systems
• +۳ مورد دیگر

Karin A Dahmen is a Professor in the Department of Physics at the University of Illinois at Urbana-Champaign, affiliated with the Carl R. Woese Institute for Genomic Biology. Her research focuses on disordered systems, avalanche dynamics, and plasticity in metallic glasses. She explores material deformation mechanisms, critical phenomena, and the interplay between structure and mechanical properties in complex materials. Her work bridges condensed matter physics and materials science, with emphasis on slip avalanches in bulk metallic glasses, serration statistics in high-entropy alloys, and nanoscale magnetic ordering dynamics. Recent studies include experimental investigations of muscovite mica micromechanics and novel methods for analyzing compressive ductility in metallic glasses. Key achievements include the discovery of universal avalanche statistics across materials from nano-crystals to earthquakes, and the development of theoretical frameworks explaining memory effects in cyclically deformed glasses. Her honors include the APS Fellowship (2013), Guggenheim Fellowship (2016), and Sloan Research Fellowship (2001). Research trends show sustained focus on critical phenomena in materials under stress, with recent emphasis on seismic analogs in slip events and chemo-mechanical weakening mechanisms. Over 170 publications demonstrate her leadership in understanding deformation dynamics across multiple length scales.

• Noise Abatement in Machines and Vehicles
• Numerical Modeling in Mechanics
• Automotive Structures and Dynamics
• +۱۲ مورد دیگر

Prof. Wim Desmet is a full professor at the Faculty of Engineering Science and head of the Department of Mechanical Engineering at KU Leuven . His research focuses on advanced modeling techniques for mechanical systems, including: noise and vibration control in automotive and industrial systems computational acoustics and interval field uncertainty modeling metamaterials for broadband vibroacoustic performance AI-driven diagnostic systems in renewable energy and manufacturing Current research projects address challenges in electric vehicle drivetrains, wind turbine monitoring, and multi-physical digital twin development. He actively contributes to academic governance as: Managing Director of KU Leuven Head of Subdivision HIST Chair of multiple executive committees Member of 15+ academic and administrative councils

C. Armando Duarteمشاهده پروفایل

استاد

• Computational Mechanics
• Structural Engineering
• Multiscale Modeling
• +۵ مورد دیگر

Prof. C. Armando Duarte is the Nathan M. Newmark Distinguished Professor in Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign (UIUC). He holds affiliations with the Computational Science and Engineering Program and the National Center for Supercomputing Applications (NCSA). His research focuses on computational mechanics, particularly the Generalized Finite Element Method (GFEM/XFEM), multiscale modeling, fracture mechanics, and hydraulic fracturing. He has authored/co-authored over 100 publications and co-edited books on computational methods. Education: Ph.D. (1996) and M.Sc. (1991) in Engineering Mechanics from the University of Texas at Austin and Federal University of Santa Catarina, respectively, and a B.Sc. in Mechanical Engineering from the Federal University of Pernambuco. Professional Roles: Professor at UIUC since 2015, previously at the University of Alberta and visiting roles at institutions in Brazil, Portugal, and the Netherlands. He serves on editorial boards of computational mechanics journals and chairs committees for professional societies like USACM and ASCE. Research Interests: Multiscale problems, computational fracture mechanics, meshfree methods, and multiphysics simulations. His work emphasizes 3D fracture analysis, hydraulic fracturing, and thermal gradient modeling. Awards: Recognitions include the Nathan Newmark Professorship, USACM Fellowship, and multiple best paper awards. His work has been cited over 9,000 times, with papers featured in top journals like Computer Methods in Applied Mechanics and Engineering . Teaching: Renowned for excellence in courses like Finite Element Methods, Structural Analysis, and Computational Plates and Shells. His teaching accolades span over two decades at UIUC.

Steven P. Dowمشاهده پروفایل

استاد

• Social Computing
• Human-Computer Interaction
• Collective Intelligence
• +۴ مورد دیگر

Steven P. Dow is a Professor at the University of California San Diego leading the ProtoLab, which investigates collective intelligence, creativity, and decision-making through social computing and human-centered design. His work develops systems leveraging LLMs, crowdsourcing, and visualization to scaffold problem-solving for individuals and communities. His research spans Social Computing , Human-Computer Interaction , and Participatory Design , focusing on cognitive/social aspects of collaborative processes. Key areas include AI-augmented creativity tools, value-centered civic engagement frameworks, and metadata-driven collective ideation systems that bridge technical and cultural dimensions of design. 2025 publications reveal a strong trend toward LLM-crowd integration for creative workflows, with work appearing at UIST and Collective Intelligence conferences. Research emphasizes inclusive idea convergence in civic contexts and dynamic exploration in design processes using forward-backward propagation techniques. Prof. Dow actively mentors students, with advisees like Sangho Suh and Nancy Qiu leading publications on AI storyboarding and self-reflective crowds. His ProtoLab drives projects including community-driven design environments and context-aware exploratory search systems. The ProtoLab serves as an interdisciplinary hub developing socio-technical systems for community co-design, leveraging ubiquitous devices and mixed-initiative interfaces to transform how teams solve complex problems through emergent scaffolding and value-centered frameworks.

Liang Chenمشاهده پروفایل

استاد

• Theoretical photonics
• Photonics
• Polarization mode dispersion
• +۴ مورد دیگر

Liang Chen serves as a Full Professor in the Department of Physics, Faculty of Science, University of Ottawa. His office is located in ARC 308 (with secondary listing at MCD 130), and he can be contacted at (613) 562-5800 ext. 6912 or via email at liang.chen@uottawa.ca and lchen@uottawa.ca. Professor Chen has maintained his faculty position at the University of Ottawa since September 2000, following prior appointments at the University of New Brunswick and Bishop's University. His academic credentials include: BSc from Naikai University MA from the University of Southern California PhD from the University of Southern California Professor Chen specializes in applied theoretical optics, with core research areas encompassing polarization mode dispersion (PMD), polarization dependent loss (PDL), chromatic dispersion (CD), and stimulated Brillouin scattering (SBS). His work develops evaluation methods for nonlinear effects in optical fiber communications and investigates fiber optic detector dynamics. Utilizing theoretical modeling and Monte Carlo simulations, his research addresses optical signal degradation and bit-error rate performance in communication networks. His publications from 2003-2007 focus on fiber optic communication challenges, particularly PMD, PDL, and CD impacts on optical eye diagrams and bit-error rates. Additionally, he has pioneered techniques using stimulated Brillouin scattering for distributed sensing and slow light applications, achieving high spectral resolution with nanosecond pulses. These contributions highlight a strong theoretical foundation applied to practical optical networking problems. No scientific awards were documented in the provided sources. Details regarding student advising, research funding, laboratory facilities, and research teams were not included in the available information.

• Quantum Physics
• Statistical Mechanics
• Quantum Transport
• +۲ مورد دیگر

Dr Maximilien Barbier serves as a Lecturer at the University of Surrey's School of Computing, Engineering and Physical Sciences, maintaining active research output through 2025. His academic profile is anchored in theoretical quantum mechanics with a distinctive focus on quantum backflow phenomena. Research interests center on quantum backflow , non-equilibrium statistical mechanics , and microreversibility principles . His work bridges fundamental quantum theory with practical applications, particularly in time-dependent quantum systems and transport phenomena. Key contributions include extending quantum backflow concepts to multi-particle systems and relativistic frameworks, while developing experiment-friendly formulations for observable quantum effects. Analysis of his 12 publications (2015-2025) reveals consistent focus on quantum measurement theory, with increasing emphasis on multi-dimensional systems and experimental validation pathways. His fingerprint profile shows 100% specialization in quantum backflow and microreversibility, with strong connections to non-equilibrium systems (87%) and fluctuation relations (41%). Scientific awards: None documented Dr Barbier collaborates extensively with researchers including Goussev, Fewster, and Srivastava across international institutions. His research demonstrates sustained funding through consistent publication output, though specific grants aren't detailed. Current work explores two-dimensional quantum backflow and time-of-arrival distributions, suggesting active laboratory or computational research environment despite no explicit lab description.

Stepan Lucyszynمشاهده پروفایل

استاد

• Millimetre-wave Systems
• Terahertz Technology
• RF MEMS
• +۲ مورد دیگر

Professor Stepan Lucyszyn FREng, FIEEE is Professor of Millimetre-wave Systems at Imperial College London. A pioneer in terahertz technologies, he co-founded Imperial's Centre for Terahertz Science and Engineering and has developed innovative 'THz Torch' wireless communication systems. Research focus areas: Millimeter-wave and terahertz systems engineering Additive manufacturing of RF components RF MEMS technology and applications Low-cost security and defense technologies Honors include Fellow of the Royal Academy of Engineering (2023), IEEE Fellow (2014), and recipient of Junkosha's Technology Innovator Award (2022) for 3D printing innovations. He has authored over 200 papers and 12 book chapters in applied physics and engineering.

• Computational Fluid Dynamics
• Discontinuous Galerkin Methods
• Finite Volume Methods
• +۶ مورد دیگر

Michael Dumbser is a Full Professor at the University of Trento's Department of Civil, Environmental and Mechanical Engineering. His research focuses on computational fluid dynamics, numerical methods for hyperbolic conservation laws, and high-performance computing. He specializes in developing structure-preserving numerical schemes such as discontinuous Galerkin and finite volume methods for continuum mechanics, relativistic fluid dynamics, and multiphase flows. Teaching responsibilities include courses like Calcolo numerico e programmazione , High-Performance Computing for Multi-Functional Metamaterials , and Metodi numerici per l'ambiente . His work emphasizes thermodynamically compatible formulations and adaptive numerical methods for complex physical systems. Recent research trends involve hyperbolic reformulations of classical models (e.g., Navier-Stokes-Korteweg, Einstein equations), staggered semi-implicit schemes for incompressible flows, and GPU-accelerated algorithms. His publications span topics from geophysical fluid dynamics to relativistic astrophysics, with a focus on maintaining physical conservation principles in numerical implementations. No scientific awards are explicitly listed in the provided information. His advising record is not detailed here, though his courses suggest involvement in student mentorship. Research collaborations include projects on metamaterials and computational geophysics. Current initiatives include developing unified models for earthquake rupture dynamics, non-Newtonian fluid simulations, and adaptive mesh refinement techniques. His lab work involves high-performance computing frameworks like ExaHyPE for large-scale wave propagation studies.