جست‌وجوی استاد و پژوهشگر

Jesús Carrera Ramirezمشاهده پروفایل

استاد پژوهشی

• Groundwater Hydrology
• Reactive Transport Modelling
• Environmental Engineering
• +۷ مورد دیگر

Jesús Carrera Ramirez is a Research Professor at the Spanish National Research Council (CSIC) and former Full Professor at the Technical University of Catalonia (UPC). He holds an appointment in the Department of Civil and Environmental Engineering within UPC's Barcelona School of Civil Engineering. His career includes roles as Vicepresident for Research and Dean of Civil Engineering at UPC (1992-1998). A globally recognized hydrogeologist, he focuses on groundwater modeling, reactive transport, and coupled hydro-thermo-mechanical-chemical processes. His research addresses challenges like CO2 storage, geothermal energy, and induced seismicity from geoenergy projects. He leads the Groundwater Hydrology Group (GHS), developing codes like INVERT and CODEBRIGHT for subsurface flow and transport simulations. Collaborations include international aid projects in Ethiopia, Peru, and Cambodia. Key awards include the Prince Sultan Bin Abdulaziz International Prize for Water (2014) and AGU Fellow (2006). His work spans over 400 publications, with recent studies emphasizing biofilm impacts on water quality and seismicity mitigation strategies. He advises national water councils and participates in major infrastructure projects like Barcelona's water supply systems. Education: Civil Engineer (Technical University of Madrid, 1979), PhD in Hydrology (University of Arizona, 1984). Research interests integrate theoretical models with field applications, emphasizing subsurface heterogeneity and reactive processes. Recent articles highlight advancements in hydromechanical modeling, induced seismicity analysis, and microbial-driven contaminant attenuation during soil aquifer treatment.

Stephen Maybankمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Camera Calibration
• +۵ مورد دیگر

Stephen Maybank is a Professor of Computer Science and former academic at Birkbeck, University of London (2004–2020). He holds visiting professorships at the Chinese Academy of Sciences' Institute of Automation and multiple Chinese universities, including Northwestern Polytechnical University and Zhongyuan University of Technology. His research focuses on computer vision, image processing, and statistical methods, with contributions to camera calibration and applications of the Fisher-Rao metric. Education: BA (Mathematics, 1st class, King's College Cambridge, 1976); PhD (Computer Science, Birkbeck, 1988). Research interests include visual surveillance, tracking, filtering, and projective geometry applications. He led EU projects like Advisor (video surveillance) and Anfas (flood analysis data fusion). Over 200 publications and one authored book highlight his prolific output. Awards include the IEEE Fellowship and ECCV's Koenderink Prize (2008). Grants: EU projects IST-1999-11287 (Advisor), IST-1999-11676 (Anfas). Advising: Supervised 12 PhD students; external examiner at Oxford, Imperial College, and others. Labs/teams: Collaborations span UK and China, including the National Laboratory of Pattern Recognition (CAS Beijing) and Wenzhou University.

Jeff Th.M. De Hossonمشاهده پروفایل

استاد

• Materials Science
• Nanoscience
• Nanotechnology
• +۴ مورد دیگر

Professor Jeff Th.M. De Hosson is a leading figure in materials science and nanotechnology at the University of Groningen. With a career spanning over four decades, he focuses on in-situ electron microscopy , nanostructured materials , and laser surface engineering . His work bridges fundamental physics with applied engineering solutions. Appointed as Professor of Applied Physics in 1977 by Queen Juliana Holds central departmental chair at University of Groningen (1985-2015) Conducted postdoctoral research at Northwestern University and UC Berkeley Research Interests : His work centers on advances in microscopy techniques , size effects in structural materials , nano-clusters , laser surface modifications , and dislocation dynamics . He pioneered metallic nanofoams and DLC coatings for industrial applications. Scientific Contributions : Ranked among the top 4 publication producers in Dutch nanotechnology (NWO 2008). His research group in laser surface engineering is recognized as one of the top three worldwide. Scientific Awards : 2012 : William Mong Distinguished Science & Engineering Award 2010 : China Distinguished Materials Scientists Forum Award 2009 : NanoSmat Prize 2005 : European Materials Gold Medal Publications : Over 1000 journal publications, 190 conference proceedings, 31 book chapters/reviews, and 19 edited books. Key journals include Progress in Materials Science , Acta Materialia , and ACS Nano .

Pica Pierreمشاهده پروفایل

استاد مهمان

• Linguistics
• Cognitive Science
• Numerical Cognition
• +۳ مورد دیگر

Pierre Pica is a Visiting Professor at the Brain Institute (Instituto do Cérebro) of the Federal University of Rio Grande do Norte (Brazil) and an Associate Researcher at the Department of Linguistics of Leiden University (Netherlands). His career includes roles as a Research Fellow at the National Center for Scientific Research (CNRS, France) and Visiting Professorships at institutions like MIT (USA) and Federal University of Rio de Janeiro (Brazil). He holds a Doctorat 3ième cycle (1988) and MA (1974) in linguistics from Paris universities, with postdoctoral training at MIT. His research focuses on linguistic theory (syntax, binding theory, parametric variation), numerical cognition, and cross-cultural studies of indigenous populations like the Mundurucu of Brazil. Notable contributions include demonstrating universal geometric intuitions and non-verbal numerical systems through fieldwork with the Mundurucu, challenging linguistic relativism. He has conducted over 30 months of fieldwork in the Amazon region. Awarded prizes include the 2012 La Recherche Magazine Prize in Neuroscience and the 2004 Discovery Prize (Ministry of Research). He has edited major linguistic series including the Language Faculty and Beyond (John Benjamins) and founded the Linguistic Variation Yearbook . His work bridges linguistics, cognitive science, and anthropology, emphasizing core knowledge systems' interaction with language.

Robert Youngمشاهده پروفایل

استاد

• Polymers
• Carbon Nanotubes
• Graphene
• +۴ مورد دیگر

Professor Robert Young is a leading academic in Polymer Science and Technology at the University of Manchester, UK. With a distinguished career spanning decades, he has held visiting professorships at The Hong Kong Polytechnic University, King Fahd University of Petroleum and Minerals, and École Polytechnique Fédérale de Lausanne. His research focuses on polymers, nanotechnology, and composite materials. Current: Professor of Polymer Science and Technology, University of Manchester 2015-2017: Visiting Chair Professor, The Hong Kong Polytechnic University 2011-2013: Visiting Professor, King Fahd University of Petroleum and Minerals His work combines experimental and computational approaches to study polymer composites, graphene, and advanced materials characterization techniques like Raman spectroscopy. Recent publications emphasize neuromorphic computing, spiking neural networks, and hardware-aware AI. Professor Young's accolades include the 2019 Platinum Medal from the Institute of Materials, Minerals and Mining, and fellowships at the Royal Society (2013) and Royal Academy of Engineering (2006). He has delivered prestigious lectures including the Cockcroft Lecturer (1996) and Wolfson Research Professor (1992).

• Bayesian Probability Theory
• Uncertainty Quantification
• Machine Learning
• +۶ مورد دیگر

Sascha Ranftl is an Erwin Schrödinger Fellow at the Courant Institute of Mathematical Sciences, New York University. Their research spans interdisciplinary domains including Bayesian probability theory, uncertainty quantification, computational engineering, and biomedical applications. Affiliation: Courant Institute, NYU Former Affiliation: Graz University of Technology (Institute of Theoretical Physics & Computational Physics, Graz Center of Computational Engineering) Research Interests: Ranftl's work focuses on integrating Bayesian inference with machine learning and physics-informed modeling to address uncertainty quantification in biomedical simulations, particularly for aortic dissection and impedance cardiography . Their approach harmonizes statistical rigor with engineering pragmatism, emphasizing surrogate models and computational fluid dynamics. Recent Publications: Analyze geometric uncertainties in patient-specific blood vessels, develop physics-consistent neural networks, and apply Bayesian frameworks to biomedical diagnostics and elastoplastic material modeling. Scientific Awards: Erwin Schrödinger Fellowship Contact: ranftl@tugraz.at sranf@duck.com

Maryna Viazovskaمشاهده پروفایل

استاد

• Sphere packing
• Fourier analysis
• Automorphic forms
• +۳ مورد دیگر

Maryna Viazovska is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), renowned for solving the sphere packing problem in dimensions 8 and 24. She holds a PhD from the Max Planck Institute for Mathematics and the University of Bonn (2013), with earlier degrees from Technical University Kaiserslautern (M.Sc., 2007) and Kyiv National Taras Shevchenko University (B.Sc., 2005). Her research focuses on sphere packing, optimal point configurations, Fourier analysis, automorphic forms, and number theory. Notable achievements include proving the E8 lattice's optimality in 8 dimensions and the Leech lattice in 24 dimensions, leveraging modular forms and interpolation techniques. Key awards include the Fields Medal (2022), Fermat Prize (2020), and Salem Prize (2016). She has held positions at Humboldt University of Berlin (BMS Dirichlet Postdoc), Institut des Hautes Études Scientifiques, and Princeton University. Her publications span top journals like Annals of Mathematics and address interdisciplinary topics such as superconductivity and combinatorial geometry. Viazovska’s work bridges pure mathematics with applications in coding theory and physics.

Sergiu Hartمشاهده پروفایل

استاد

• Game Theory
• Economic Theory
• Mathematical Economics
• +۳ مورد دیگر

Sergiu Hart is the Alice Kusiel and Kurt Vorreuter University Professor of Economics and Mathematics at The Hebrew University of Jerusalem. He holds dual professorships and has held academic positions at Stanford University, Tel Aviv University, and Harvard University as a visiting scholar. Since 1991, he has been pivotal in establishing and leading the Center for the Study of Rationality, a multidisciplinary research center at Hebrew University. His academic career spans over four decades, with roles including Founding Director (1991–1998), Chair of the Academic Committee (since 2008), and President of the Game Theory Society (2008–2010). Education: Ph.D. in Mathematics from Tel Aviv University (1976). Research focuses on game theory, economic theory, and their intersections with computer science, probability, and statistics. Key contributions include strategic foundations of cooperation, repeated games, adaptive dynamics, and risk measurement frameworks. His work bridges theoretical insights with applications in fair distribution, economic competition, and bounded rationality. Notable awards include the Rothschild Prize (1998), election to the American Academy of Arts and Sciences (2016), and fellowships from the Econometric Society (1985) and Israel Academy of Sciences (2006). He has delivered prestigious lectures worldwide, such as the Walras-Bowley Lecture (2003) and the Harris Lecture (2009). His edited works include the three-volume Handbook of Game Theory with Robert J. Aumann. Leadership and grants: Secured an ERC Advanced Investigator Grant (2010–2015), chaired academic committees, and held executive roles in professional societies. His research lab, the Center for the Study of Rationality, fosters interdisciplinary collaboration across economics, mathematics, and computer science.

Alexander Dumfortمشاهده پروفایل

مدرس

• Bioenergy Production
• Chemical Engineering
• Hydrothermal Carbonization
• +۳ مورد دیگر

Alexander Dumfort is an academic affiliated with the University of Natural Resources and Life Sciences Vienna (doctoral studies since 2018) and the MCI (Management Center Innsbruck), where he lectures in General and Inorganic Chemistry, Organic Chemistry, and Chemistry of Renewable Resources. His research focuses on sustainable chemical processes, bioenergy production, hydrothermal carbonization, and the valorization of biomass and wastewater. He has received notable awards including the Ars-Docendi Shortlist Award (2019) and a teaching award from MCI (2016). Education: Mag. in Chemistry (University of Innsbruck, 1994–2004), HTBLA Wels Diploma in Chemical Engineering (1989–1994). Research interests include converting waste materials into energy-dense products via hydrothermal carbonization, synthesizing platform chemicals like 5-Hydroxymethylfurfural (HMF), and exploring eco-friendly catalytic processes. His publications span peer-reviewed journals and conference proceedings, addressing topics such as membrane-based bioenergy systems and photochemical synthesis of organometallic compounds. Awards highlight his contributions to teaching excellence and scientific innovation. He has supervised numerous students in topics ranging from bioenergy to material synthesis and environmental chemistry. Dumfort also serves on the Executive Committee of the Pakistan-Austria University of Applied Sciences/Institute of Applied Sciences & Technology (PAF-IAST).

Lorenzo Sauras-Altuzarraمشاهده پروفایل

پژوهشگر

• Enumerative combinatorics
• Logic
• Extractive proof theory
• +۶ مورد دیگر

Lorenzo Sauras-Altuzarra is a Researcher at the Research Unit of Computational Logic at Vienna University of Technology (Austria). His research focuses on enumerative combinatorics, logic, proof theory, recursion theory, number theory, and geometry of numbers. He has actively contributed to interdisciplinary work, merging logic with discrete geometry and algebra. PhD in Mathematics (2024): Vienna University of Technology MSc in Mathematics (2018): University of Vienna BSc in Mathematics (2015): University of Zaragoza His research interests include the calculation of integer sequences, irrationality/transcendence studies, and iteration processes. He explores applications of Baaz’s generalization method to number theory, particularly Fermat numbers, and their factorization properties. His work often bridges abstract logic with concrete number-theoretic problems. Recent publications span topics like factorial function arithmetic terms, lattice properties of complex matrices, and Fermat number factors. He has presented widely, including at the Conference on Techniques from Logic in Mathematics (Austria) and the 32èmes Journées Arithmétiques (France). He has organized events like the Conference on Techniques from Logic in Mathematics (2023, Austria) and contributed to over 15 academic events globally since 2016. His presentations address proof theory, Hilbert’s 10th problem, and geometric descriptions of number-theoretic structures.

Monika Dörflerمشاهده پروفایل

استاد

• Applied Harmonic Analysis
• Audio Signal Processing
• Machine Learning
• +۳ مورد دیگر

Monika Dörfler is a Professor in the Department of Mathematics at the University of Vienna. Her research focuses on applied harmonic analysis, audio signal processing, and the mathematics of machine learning. She specializes in time-frequency analysis, nonstationary Gabor frames, and deep learning applications in audio processing. Dörfler has contributed significantly to methods like the invertible constant-Q transform and has explored the intersection of convolutional neural networks with signal representation theory. Affiliations: Department of Mathematics, University of Vienna Roles: Professor, Privatdozent, Principal Investigator (PI) in grants including WWTF Hertha Firnberg and SALSA projects Teaching: Courses such as Applied Analysis and Bachelor seminar Her research interests emphasize both theoretical foundations and practical applications of signal processing techniques. Notable contributions include work on Gabor frames in deep scattering networks and orthogonal projections for dimension reduction in learning problems. Dörfler has received awards for her papers, including Best Paper Awards at ISMIR19 and DAFx-11, and has organized international conferences like SAMPTA19 and DAFx2020. Awards: Best Paper Gold (DAFx-11), ISMIR19 Award, WWTF Grant Leadership Grants: Co-PI in aMOBY (Acoustic Monitoring of Biodiversity), PI in Audio-Miner and Hertha Firnberg grant Her work addresses challenges in audio denoising, music information retrieval, and algorithmic biases in recommendation systems. Ongoing projects include "Filter them all! Gabor theory for image quality assessment" submitted to FWF in 2023.

• Metallurgical Processes
• Vacuum Arc Remelting
• Magneto-hydrodynamics
• +۳ مورد دیگر

Mehran Abdi serves as Dipl.-Ing. at the Chair of Simulation and Modelling of Metallurgical Processes (310) at Montanuniversität Leoben, Faculty of Materials Science and Technology, Department of Metallurgy. His research focuses on computational modeling of metallurgical processes with emphasis on vacuum arc remelting and magneto-hydrodynamics. Dr. Abdi's research interests span metallurgical process simulation, solidification phenomena, and electromagnetic effects in materials processing. His work combines advanced numerical modeling with experimental validation to optimize industrial metallurgical processes. Key areas include vacuum arc remelting optimization, electro-vortex flow patterns, and peritectic solidification behavior. Analysis of Dr. Abdi's publication record reveals consistent contributions to metallurgical process modeling, with increasing focus on electromagnetic effects in materials processing. His work bridges fundamental fluid dynamics with practical industrial applications in alloy production, particularly titanium alloys. The research demonstrates strong collaboration patterns with colleagues across European institutions. Dr. Abdi has established productive research collaborations resulting in multiple peer-reviewed publications in high-impact materials science journals. His work has attracted citations and attention in the field of metallurgical process modeling, with growing impact as evidenced by increasing citation metrics in recent years. His laboratory work focuses on computational modeling of metallurgical processes, particularly investigating fluid flow phenomena under electromagnetic fields and optimizing vacuum arc remelting processes for high-value alloys. The research has implications for improving quality and efficiency in specialty metal production.

• Computer Vision
• Autonomous Driving
• 3D Reconstruction
• +۵ مورد دیگر

Ao.Univ.Prof. Margrit Gelautz is an Associate Professor at TU Wien's Computer Vision research department (E193-01), affiliated with the Institute for Software Technology and Interactive Systems (E188). Her work focuses on computer vision applications in autonomous driving, robotics, and 3D reconstruction. She leads projects on driver monitoring systems, vulnerable road user detection, and human-robot interaction. Recent research includes 3D bounding box prediction, synthetic data-driven pose estimation, and real-time sensor systems. She advises over 20 graduate students and collaborates on automotive platforms integrating vision-based safety systems. Her contributions span sensor fusion, stereo matching algorithms, and interactive video tools. Key projects include multimodal sensor-lighting systems for traffic safety, 3D scene completion, and intelligent workflow design for low-cost 3D film production. Her work emphasizes practical applications like in-cabin monitoring systems and adaptive lighting control. She develops semi-automatic annotation tools for traffic datasets and explores nonverbal communication in human-robot interaction using platforms like Pepper humanoid robots.

Manas Bhargavaمشاهده پروفایل

پژوهشگر

• Soft robotics
• Deformable structures
• Computational design
• +۵ مورد دیگر

Manas Bhargava is a Postdoctoral Researcher at the Institute of Science and Technology Austria, working in the Material Molli Lab under Prof. Jérémie Palacci. Previously, he completed his PhD with Prof. Bernd Bickel, focusing on the design and control of deformable structures. His research spans several cutting-edge domains in computational design and robotics. Bhargava's work integrates principles from computer graphics, mechanical engineering, and materials science to create innovative deformable structures. His projects range from building 3D lighting displays using folded PCBs to developing musculoskeletal soft robots with laser-controlled artificial muscles. He has presented his research at prestigious venues including SIGGRAPH, Eurographics, and the Think and Drink Conference at ISTA. Bhargava has published in top-tier venues including ACM Transactions on Graphics (SIGGRAPH) and Computer Graphics Forum. His work demonstrates a strong trend toward practical computational fabrication methods that bridge digital design with physical implementation, particularly in soft robotics and interactive displays. The research shows increasing sophistication in control mechanisms and material integration across his publications. As an academic mentor, Bhargava has supervised multiple students including Chris Wernke (bachelor thesis on Dynamic Simulation and Fabrication of Origami Robots) and Yuhan Zhang (master thesis on Compatible Triangulations for Fabricating Deformable Structures). His collaborative approach is evident in co-supervision arrangements and multi-institutional projects spanning ETH Zurich and ISTA.

Haisen Zhaoمشاهده پروفایل

استاد

• Computer Graphics
• Digital Fabrication
• Additive Manufacturing
• +۵ مورد دیگر

Haisen Zhao is a Professor at Shandong University (SDU), affiliated with the School of Computer Science and Technology and the Interdisciplinary Research Center. His research focuses on geometric processing and digital fabrication, including additive and subtractive manufacturing. He completed his PhD at SDU in 2018 under Baoquan Chen, followed by postdoctoral research at the University of Washington (with Adriana Schulz) and IST Austria (with Bernd Bickel). He has authored over 20 top-tier publications in venues like ACM SIGGRAPH/Asia and IEEE TVCG, and holds multiple patents. Education: PhD in Computer Science (2018, SDU), Master’s (2014, SDU), and Bachelor’s (2011, SDU). Key awards include the CCF Doctoral Dissertation Award (2019) and Shandong Natural Science Award (2020). He leads a research group focused on advanced manufacturing techniques, advising PhD and Master’s students in areas like robotics, computer-aided design, and fabrication optimization. Teaching responsibilities include courses on computer graphics, human-computer interaction, and advanced topics for both undergraduates and graduates. His lab actively explores hybrid manufacturing strategies, inverse design methods, and robotic fabrication systems. Recent projects include neural accessibility learning for CNC machining and generative design for microstructure fabrication.