جست‌وجوی استاد و پژوهشگر

Franz Winklerمشاهده پروفایل

استاد

• Computer Algebra
• Constructive Algebraic Geometry
• Symbolic Computation
• +۵ مورد دیگر

Franz Winkler is a full Professor at the Research Institute for Symbolic Computation (RISC) within the Johannes Kepler University in Linz, Austria. His primary roles include leading research in computer algebra and constructive algebraic geometry. He is affiliated with the RISC Faculty and holds the title of Univ.-Prof. DI.Dr., indicating his academic leadership and doctoral qualifications. His work focuses on algebraic differential equations, symbolic computation, and geometric algorithms. Research Interests: Winkler's expertise spans computer algebra systems, algebraic geometry applied to differential equations, and algorithm development for solving algebraic problems. His contributions include foundational work on Gröbner bases, parametrization of algebraic curves, and symbolic methods for ODEs/PDEs. He has developed the CASA system for computational algebraic geometry, emphasizing practical applications in geometric modeling and automated theorem proving. Publications: His recent work includes advancements in the algebro-geometric method for solving differential equations, general solutions of algebraic ODEs, and rational solutions of partial differential equations. His research often bridges theoretical computer science and pure mathematics, with applications in cryptography and geometric modeling. Labs/Teams: As part of RISC, he contributes to projects involving symbolic computation and algebraic software development. His team collaborates internationally on topics like automated deduction in geometry and computational algebraic methods applied to real-world problems.

Piene Ragniمشاهده پروفایل

استاد

• Algebraic Geometry
• Enumerative Geometry
• Intersection Theory
• +۵ مورد دیگر

Ragni Piene is a Professor of Mathematics at the University of Oslo, affiliated with the Department of Mathematics within the Faculty of Mathematics and Natural Sciences. She has held this position since 1987, preceded by an Associate Professorship from 1979 to 1986. Her research focuses on algebraic geometry, including enumerative geometry, singularity theory, moduli spaces, and applications to computer-aided geometric design. She has held visiting positions at prestigious institutions such as MIT, MSRI, and École Normale Supérieure. Education: PhD in Mathematics from MIT (1976), M.Sc. from University of Oslo (1972), and D.E.A. from Université de Paris (1970). Her academic leadership roles include Chair of the Abel Committee (2010–2014) and membership in the Executive Committee of the International Mathematical Union (IMU). She is a Fellow of the American Mathematical Society and a member of several distinguished academies, including the Norwegian Academy of Science and Letters. Her research interests span algebraic geometry with a focus on geometric structures like toric varieties, Hilbert schemes, and real algebraic curves. Recent publications explore topics such as polypols, evolute curves, and toric duality, reflecting her contributions to both theoretical and applied aspects of geometry. Awards and honors include recognition for her leadership in mathematics and her scholarly contributions, including the Abel Committee chairmanship and membership in Academia Europaea. She has advised numerous projects and serves on editorial boards and scientific committees globally.

Christoph Praschlمشاهده پروفایل

استادیار

• Wildlife Monitoring
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Christoph Praschl is an Assistant Professor at the University of Applied Sciences Upper Austria, based at the Research Center Hagenberg. He holds a Master's and Bachelor's in Software Engineering from the same institution. His research focuses on ICT applications in wildlife monitoring, energy systems, and healthcare technology. Key projects include wildlife accident risk modeling (using Gaussian Mixture Models) and orthopedic aid customization leveraging AI. Education: Master's in Software Engineering (2014–2017), University of Applied Sciences Upper Austria Bachelor's in Software Engineering (2014–2017), University of Applied Sciences Upper Austria Research Interests: Computer Vision, Machine Learning, Wildlife Monitoring, Energy Systems, Biodiversity Conservation, and Health Technology. His work integrates AI and statistical methods to address real-world challenges in ecology and healthcare. Recent Projects: Wildschwein Project (2024–2025): Developing digital tools for wild boar carcass detection BAMBI (2022–2025): Airborne biodiversity monitoring via UAVs PASS (2017–2019): Plan analysis using self-learning solutions Advising & Grants: Collaborates on interdisciplinary projects, including wildlife risk assessment and energy storage systems. No formal advisees listed. Labs/Teams: Active in the Research Center Hagenberg and the Medical Engineering/TIMed Center.

Yeongmi Kimمشاهده پروفایل

استاد

• Rehabilitation Engineering
• Medical Robotics
• Haptics
• +۴ مورد دیگر

Yeongmi Kim is a Professor at MCI Management Center Innsbruck, Austria, specializing in rehabilitation engineering, medical robotics, and haptics. Her work focuses on developing assistive technologies for neurological rehabilitation, sensory-motor training, and surgical training systems. She has led multiple projects involving portable rehabilitation devices, haptic interfaces, and robotic systems for stroke survivors and individuals with visual impairments. Education: Advanced training in biomedical engineering and robotics, with postdoctoral research at ETH Zurich. Research Interests: Rehabilitation robotics for upper limb recovery Haptic feedback systems for medical training Assistive technologies for mobility-impaired individuals Her research trends emphasize low-cost, user-centric solutions for home-based rehabilitation and surgical training systems. Recent work includes solar-tracking robotics and wearable haptic devices for gait balance. Awards: Best Fellow Paper Award (Physiatry '24), IEEE WorldHaptics Best Poster Finalist (2017). Advising: Supervised 50+ theses on topics like robotic exoskeletons, VR training systems, and sensor integration for rehabilitation. Labs/Teams: Active in robotics and biomedical engineering groups at MCI, collaborating on EU-funded projects.

• Computer Graphics
• Rendering
• Color Science
• +۴ مورد دیگر

Privatdozent (Senior Lecturer) Alexander Wilkie is affiliated with the Faculty of Informatics at the Technische Universität Wien , specifically the Institute of Computer Graphics and Algorithms. His research focuses on photorealistic rendering, color science, and optical phenomena. Photorealistic Image Synthesis Bidirectional Reflectance Distribution Function (BRDF) Chromatic Adaptation Spectral Rendering Fluorescence Modeling His work explores layered materials, atmospheric effects, and gemstone simulations, with significant contributions to physically based rendering algorithms. Students under his supervision include Andreas Weidlich and Harald Grasberger. Wilkie has collaborated on projects funded by the Austrian Science Fund (FWF) from 2005–2007.

• Fashion Design
• Smart Textiles
• CAD Systems
• +۳ مورد دیگر

Prof. Ender BULGUN is a Full Professor and Dean of the Faculty of Fine Arts and Design at Izmir University of Economics, leading the Textile and Fashion Design department. She holds a PhD in Textile Engineering from Ege University, with academic roles spanning Assistant Professor (1997), Associate Professor (2004), and Full Professor (2009). Her research focuses on smart textiles, wearable technology, CAD systems, and fashion design innovations. Key projects include developing smart firefighter garments, thermo-controlled clothing, and software for textile production optimization. She has managed national and international projects funded by TÜBİTAK, NATO, and EU initiatives. Her work spans over 50 conference papers and peer-reviewed articles in journals like International Journal of Clothing Science and Technology and Textile Research Journal . As an educator, she teaches courses such as 'Smart Clothing Design and Technologies' and 'Recent Advances in Smart Design Applications'. She has advised numerous graduate theses, including studies on smart glove design for disabled individuals and thermal performance evaluations of firefighter apparel. Her contributions extend to editorial roles in textile journals and jury memberships in international design competitions.

• Computer Vision
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Dr. Suman Kumar Ghosh is a Lecturer in Data Science and Computer Science at York St John University, affiliated with the York Business School in London. His research focuses on computer vision, machine learning, and natural language processing, with a decade of experience across diverse industries. He has contributed to advancements in handwritten character recognition, scene text understanding, and segmentation-free word spotting techniques. His work spans foundational research in document analysis, including contributions to datasets like the Versailles-FP for ancient floor plan analysis. He has published extensively in top-tier conferences such as ICDAR and CVPR, addressing challenges in word spotting, bi-gram indexing, and visual attention models for text recognition. His research bridges theoretical advancements with practical applications in multilingual systems and adaptive feature extraction. No scientific awards are explicitly mentioned in the profile. His teaching responsibilities include modules on machine learning and artificial intelligence concepts.

Pere Brunetمشاهده پروفایل

استاد

• Geometry processing
• Computer-aided geometric design
• Volume and Octree representations
• +۴ مورد دیگر

Pere Brunet is a Full Professor in Computer Science at the Polytechnic University of Catalonia (UPC) in Barcelona, Spain, where he heads the UPC Research Group in Modeling, Visualization and Computer Graphics. He served as Vice President for Research at UPC between 1988 and 1992 and currently serves as Vice President of the Royal Academy of Engineering in Spain. He pioneered Computer Graphics research in Spain starting in 1979 and promoted the creation of the Virtual Reality Center in Barcelona, where he serves as scientific head. Industrial Engineer (1971) from Barcelona School of Engineers (UPC) Doctor in Industrial Engineering (1976) from UPC with special outstanding recognition Professor Brunet's research focuses on geometric computer-assisted design, hierarchical geometric representations, and virtual reality. His group works on complex research projects involving Virtual Reality and very complex models across diverse fields including geo-modeling, industrial design, cultural heritage, and medical applications. His work emphasizes multi-resolution geometric models, real-time navigation through complex virtual environments, and implicit interaction in VR systems. The group maintains strong international cooperation and industry-based research engagement. His publication record spans several decades with significant contributions to Computer-Aided Geometric Design, volume visualization, and octree representations. His recent work focuses on massive data processing, urban modeling, cultural heritage visualization, and efficient rendering techniques for complex environments. Member of the Royal Academy of Engineering in Spain (currently Vice President) Corresponding member of the Academy of Engineering of Portugal Member of the CAETS Council and EuroCASE Executive Committee Recipient of the Distinguished Career Award of the Eurographics Association (2008) Recipient of the XI Catalan Foundation Prize for research (2001) Recipient of the Narcís Monturiol medal from the Catalonia Government Recipient of the Silver medal from the Polytechnic University of Catalonia Professor Brunet has served on editorial boards of prestigious journals including Computer-Aided Design, Computer-Aided Geometric Design, IEEE Transactions on Visualization and Computer Graphics, and Computers & Graphics. He was Chairman of the Eurographics Association (2001-2002) and has been actively involved in international scientific organizations like Eurographics, IFIP, and Siggraph. He has contributed to numerous edited books and special journal issues in his field and has served as scientific consultant for universities, international associations, and research funding agencies. He leads the UPC Research Group in Modeling, Visualization and Computer Graphics, which has been instrumental in developing Spain's computer graphics research landscape. The group maintains strong connections with industry and international research communities, focusing on practical applications of their theoretical work across multiple domains.

Reinhold Preinerمشاهده پروفایل

پژوهشگر

• 3D Computer Graphics
• Visualization
• Geometry Processing
• +۳ مورد دیگر

Reinhold Preiner is a Senior Researcher at the Institute for Computer Graphics and Knowledge Visualization, part of the Faculty for Computer Science and Biomedical Engineering at TU Graz. He holds a PhD from TU Wien (2017) focused on dynamic and probabilistic point-cloud processing. His research emphasizes 3D graphics, geometry processing, and cultural heritage digitization. Current projects include Open Reassembly (fragment assembly for archaeological artifacts) and VR4CPPS (virtual reality in production systems). Education: PhD in Computer Science, TU Wien (2017) Dipl.-Ing. (MSc equivalent) in Computer Science, TU Wien Research Interests: Probabilistic geometry processing, interactive visualization, cultural heritage preservation through digital methods, and VR applications. Recent work includes thermal conduction modeling in astrophysical systems and crowd simulation algorithms. Projects & Grants: FWF Research Group A+CHIS (Cultural Heritage Informatics) Collaborative projects with Fraunhofer Institute Labs/Teams: Leads the Visual Computing group at TU Graz, collaborating with international partners on cultural heritage digitization and VR solutions.

Ragni Pieneمشاهده پروفایل

استاد

• Algebraic geometry
• Enumerative geometry
• Intersection theory
• +۵ مورد دیگر

Ragni Piene is a Professor at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. Her career spans decades of contributions to algebraic geometry and related fields. Education: Ph.D. from MIT (1976), M.Sc. and D.E.A. from the University of Oslo and Université de Paris (Orsay). Visiting Positions: Held at Institut Mittag-Lefler, MSRI Berkeley, École Normale Supérieure Paris, Harvard University, Université Grenoble, IHES Paris, Ecole Polytechnique Paris, and MIT. Research Interests: Focus on algebraic geometry, particularly enumerative geometry and intersection theory, singularity theory, moduli spaces, Hilbert schemes, toric varieties, and algebraic methods in computer-aided geometric design. Scientific Leadership & Awards: Chair of the Abel Committee (2010–2014), Fellow of the American Mathematical Society (2012), and memberships in prestigious academies including Academia Europaea (2012) and the Norwegian Academy of Science and Letters (1994). Committee Roles: Extensive service on international boards like the Executive Committee of IMU (2003–2010), Scientific Advisory Board of RICAM (2012–), Orientation Council of INSMI (2011–), and editorial boards of Communications in Algebra and Astérisque .

Siegfried Selberherrمشاهده پروفایل

استاد

• Computer-aided design
• Computer simulation
• High performance computing
• +۴ مورد دیگر

Professor Siegfried Selberherr is a renowned academic affiliated with the Vienna University of Technology , where he has served as a Full Professor of Softwaretechnology of Microelectronic Systems since 1988. He earned his Diplomingenieur in electrical engineering (1978) and doctoral degree in technical sciences (1981) from the same institution. His research focuses on modeling and simulation in microelectronics , leveraging modern software technology to address complex engineering challenges, and he has played a pivotal role in bridging informatics and microelectronics in both research and teaching. Education : Diplomingenieur (1978), PhD (1981) in Electrical Engineering and Technical Sciences, Vienna University of Technology Selberherr's work spans computer-aided design , high-performance computing , and microelectronics , with significant contributions to applied informatics. He has supervised over 90 dissertations and authored/co-edited numerous publications. His leadership roles include serving as Dean (1998–2005) and Head of the Computing Service Center (1994–1998). Scientific Awards Fellow of the Asia-Pacific Artificial Intelligence Association (2021) Prof. Marin Drinov Medal (2014) European Research Council Advanced Grant (2009) Honorary Doctorate, University of Niš (2006) Grand Decoration of Honour for Austria (2005) IEEE Fellow (1993) Wilhelm Exner Medal (1994) He is a Distinguished Lecturer of the IEEE Electron Devices Society and a member of prestigious organizations like ACM, ECS, SIAM, and VDE. His principal investigator roles in Austrian Science Fund (FWF) and European Community projects, such as SUPERTHEME, highlight his impact in collaborative research.

Turner Nicholasمشاهده پروفایل

استاد

• Asymmetric synthesis
• Synthetic biology
• Directed evolution of enzymes
• +۳ مورد دیگر

Nicholas Turner is a Professor of Chemical Biology at the University of Manchester, UK, since 2004. Previously, he held positions at the University of Edinburgh (1998-2004 as Professor, 1995-1998 as Reader) and University of Exeter (1987-1995 as Lecturer). His research focuses on asymmetric synthesis, synthetic biology, directed evolution of enzymes, protein engineering, and biocatalysis, with emphasis on developing innovative enzymatic methods for sustainable chemical synthesis. He has received numerous accolades, including the 2020 Fellowship of the Royal Society, the 2018 ACS Catalysis Lectureship, and an ERC Advanced Grant (2017-2022). His work bridges fundamental enzymology with industrial applications, addressing challenges in drug development and process chemistry through enzyme engineering and biocatalytic cascade design. Turner’s contributions span enzymatic reaction discovery, biocatalytic pathway optimization, and sustainable synthesis strategies. His recent research highlights include the RetroBioCat platform for computer-aided biocatalytic synthesis planning and the development of reductive aminase cascades for amine synthesis. His studies on imine reductases and carboxylic acid reductases have advanced understanding of enzyme mechanisms and their applications in industrial processes.

Wallner, Johannesمشاهده پروفایل

استاد

• Discretization in Geometry and Dynamics
• Computational Line Geometry
• Freeform Architecture
• +۸ مورد دیگر

Johannes Wallner is a Professor of Geometry at the Institute for Geometry , Graz University of Technology (TU Graz), since January 2007. Previously, he held positions at TU Wien, including a part-time professor role (2009-2013) in the Geometric Modeling and Industrial Geometry group. His work bridges theoretical geometry with computational applications in architectural design, machining, and surface analysis. Research Interests: Discretization in Geometry and Dynamics Computational Line Geometry Freeform Architectural Structures Subdivision Algorithms in Riemannian Geometry Geometric Tolerancing and Constraint Problems Publications focus on discrete differential geometry, mesh processing, and geometric modeling for architecture. His 2024 work on quad mesh mechanisms and 2023 studies on developable surfaces exemplify his cross-disciplinary impact. Grants: Led FWF-funded projects including SFB/Transregio (I-705), Doctoral College Discrete Mathematics (W1230), and studies on computational differential geometry, nonlinear subdivision, and geometric tolerancing. Editorial Contributions: Co-edited conference proceedings for Advances in Architectural Geometry (2010, 2012, 2014) and served as editor for Internationale Mathematische Nachrichten (2008-2017).

• Breast Cancer Research
• Pharmacology
• Toxicology
• +۴ مورد دیگر

Christian Fellinger is a Researcher at the Department of Pharmaceutical Sciences within the Faculty of Life Sciences at the University of Vienna. With a B.Sc. and MSc background, he conducts interdisciplinary research spanning computational chemistry and molecular toxicology, focusing on protein-ligand interactions and the biological impacts of environmental compounds. His research expertise centers on computational pharmaceutical sciences , particularly the development of novel methods like GRADE and X-GRADE for analyzing protein-ligand interactions. Simultaneously, he investigates how foodborne xenoestrogens affect breast cancer cell behavior, with implications for understanding metastatic processes. His work integrates computational modeling with experimental toxicology to address critical questions in drug discovery and environmental health. Analysis of Fellinger's publications reveals a dual research trajectory: methodological innovation in computational chemistry and applied research on environmental impacts on cancer biology. This interdisciplinary approach bridges pharmaceutical sciences with molecular oncology, demonstrating how computational tools can address complex biological questions. Recent Activities: Presented 'GRADE-ing Protein-Ligand Interactions' at a scientific conference (June 2025) Delivered talk on 'Binding affinity estimation using GRADE' (March 2025) Co-authored poster on 'Orally derived endocrine active substances impact tight junction protein claudin 4' (April 2025) Fellinger maintains active collaborations with researchers including Thomas Seidel, Benjamin Merget, Klaus-Jürgen Schleifer, Thierry Langer, Giorgia Del Favero, and Doris Marko, reflecting his position within a vibrant interdisciplinary research network at the University of Vienna.

Emmanuel Iarussiمشاهده پروفایل

استادیار

• AI
• Computer Graphics
• Medical Imaging
• +۲ مورد دیگر

Emmanuel Iarussi is an Assistant Professor at the Universidad Torcuato Di Tella and a researcher at CONICET in Buenos Aires. He holds a Ph.D. in Computer Graphics from INRIA Sophia Antipolis, supervised by Adrien Bousseau and George Drettakis, and completed a postdoc at IST Austria under Bernd Bickel. His engineering degree is from UNICEN University (2012). His research bridges AI, computer graphics, and medical imaging, focusing on generative models for 2D/3D content manipulation. Research Interests: His work spans AI-driven medical imaging, generative models for vascular structures, ultrasound simulation, and bone microstructure modeling. Key areas include autoregressive modeling, variational autoencoders, and applications in healthcare and biomedical engineering. Recent Trends in Articles: Recent publications emphasize combining AI techniques with medical applications, such as vascular geometry synthesis, melanoma detection reviews, and ultrasound realism enhancement. His work often intersects generative networks and clinical diagnostics. Grants & Recognition: Awarded a $69,960 grant from the Sloan Foundation’s Trust in AI initiative (2024). Active in workshops on AI ethics, public discourse, and open science. Labs & Teams: Leads projects like VisDecode (AI-driven scientific plot analysis) and contributes to repositories like generative3DSpongiosa for bone microstructure modeling.