جست‌وجوی استاد و پژوهشگر

• Computer Architecture
• Embedded Systems
• Computer Engineering

Johannes Kappes serves as a PreDoc Researcher (Universitätsassistent) at TU Wien within the Embedded Computing Systems research group (E191-02). His primary institutional affiliation falls under the Institute of Computer Engineering, where he actively contributes to academic instruction and research initiatives. His teaching portfolio for Winter Semester 2025 includes: Advanced Computer Architecture (191.019, VU) Computer Engineering Practical (191.005, PR) Computer Engineering Project (191.006, PR) Project in Computer Science 1 (191.008, PR) Project in Computer Science 2 (191.009, PR) Scientific Project Computer Engineering (191.007, PR) Seminar Computer Engineering (182.757, SE) Research interests center on Computer Architecture and Embedded Systems , with significant emphasis on hardware-software co-design and real-time computing solutions. These specializations directly align with his role in the Embedded Computing Systems group and instructional focus on computer engineering fundamentals. Associated with the Embedded Computing Systems laboratory, his work involves practical implementations of computing systems for constrained environments. No verifiable information exists regarding student advisement, research grants, or scientific awards in the provided materials.

Tobias Schreckمشاهده پروفایل

استاد

• Visual Data Analysis
• 3D Object Retrieval
• Visual Analytics
• +۵ مورد دیگر

Tobias Schreck is a Professor at the Institute of Visual Computing (formerly Computer Graphics and Knowledge Visualization) at Graz University of Technology, affiliated with the Faculty for Computer Science and Biomedical Engineering. His research focuses on Visual Data Analysis, 3D Object Retrieval, and Immersive Analytics, with applications in engineering and industrial contexts. He holds a Dr.rer.nat. from the University of Konstanz and has held academic positions including Assistant Professor at the University of Konstanz and Head of the Visual Search and Analysis Group at TU Darmstadt. Education: Dr.rer.nat., University of Konstanz (2006) M.Sc. in Information Engineering, University of Konstanz (2002) Dipl.-Volkswirt (M.Sc. Economics), University of Konstanz (1999) His research interests include visual analytics for high-dimensional and spatial-temporal data, digital libraries, and collaborative analysis tools. He leads funded projects like HEREDITARY (EU Horizon Europe) and VR4CPPS (FFG), and has served as a program chair for IEEE VAST and EuroVis. His work emphasizes user interaction, eye-tracking integration, and immersive visualization techniques. He supervises a research team including postdocs, PhD students, and student assistants, and collaborates on projects like CrossSAVE-CH and the Joint PhD Programme with Nanyang Technological University. His contributions span publications in IEEE Transactions, EuroVis, and ACM conferences, addressing challenges in data exploration, anomaly detection, and visualization design.

Lothar Thieleمشاهده پروفایل

استاد

• Computer Engineering
• Embedded Systems
• Bio-inspired Optimization Methods
• +۲ مورد دیگر

Lothar Thiele is a Full Professor of Computer Engineering at the Swiss Federal Institute of Technology (ETH Zurich), where he leads the Computer Engineering and Networks Laboratory (since 1994). His academic career includes professorships at the University of Saarland (1988-1994), sabbatical stays at HP Research Labs (1999) and National University Singapore (2004), and research associate roles at Stanford University (1987) and IBM Research (1991). He is actively involved in academic governance, serving on the Foundation Board of the Hasler Foundation (since 2009) and as a member of the Academia Europaea (since 2010). PhD in Electrical Engineering, Technical University Munich (1985) Habilitation Thesis, Technical University Munich (1987) Research Interests : Thiele specializes in embedded systems design, bio-inspired optimization techniques, and wearable/mobile computing systems. His work focuses on models and software tools for embedded systems, with applications in distributed computing and sensor networks. Current projects involve bio-inspired multi-objective optimization and mobile information systems. Scientific Awards : 2005: Honorary Blaise Pascal Chair, University Leiden 2004: Member, Leopoldina Academy of Sciences 2001 & 2000: IBM Faculty Achievement Awards 1988: IEEE's Browder J. Thompson Memorial Prize 1986: Best PhD Thesis Award, TU Munich Thiele has led large-scale research initiatives like ARTIST2 European Network of Excellence, PREDATOR (FP7), and MICS Mobile Information and Communication National Research Program. He serves on editorial boards for journals including IEEE Transactions on Industrial Informatics and INTEGRATION, the VLSI Journal .

Pietro Lio'مشاهده پروفایل

استاد

• Computational Biology
• Bioinformatics
• Machine Learning
• +۲ مورد دیگر

Pietro Lio' is a Professor of Computational Biology at the University of Cambridge's Department of Computer Science and Technology, where he has held academic positions since 2003. He progressed from Lecturer to Senior Lecturer, Reader, and ultimately Professor (2018-present). His career includes prior roles as Associate Professor of Genetics at the University of Teramo and research positions at the European Bioinformatics Institute, University of Cambridge (Genetics/Zoology), and University of Southampton. Education: 1989: BSc in Electronic Engineering and Biology, University of Firenze 1995: PhD in Theoretical Genetics, University of Pavia 2007: PhD in Engineering (Non-Linear Dynamics & Complex Systems), University of Firenze Research Focus: Professor Lio' specializes in interdisciplinary approaches bridging computer science and biology. His primary research domains include computational biology, bioinformatics algorithms, machine learning (particularly graph neural networks), deep learning architectures, and complex network analysis. His work spans molecular to ecological scales, with applications in genomics, systems biology, and environmental modeling. Publication Trends: Recent work (2018-2020) demonstrates strong emphasis on graph neural networks (Graph Attention Networks, Deep Graph Infomax) and blockchain applications. Earlier publications (2015-2017) focus on ecological modeling, multi-omics integration, molecular communications, and single-cell genomics, reflecting consistent cross-disciplinary innovation. Awards and Honors: 2018: BITS Award (Bioinformatics Italian Society) 2017: Visiting Professorship at University of Padova 2016: BYRA First Prize (ISEM) & MCE Award Second Prize 2013-2015: Lagrange Fellowship 2011: European Commission Award for methodological innovation No information is available regarding student advising, grants, labs, or research teams in the provided materials.

Markus Steinbergerمشاهده پروفایل

دانشیار

• GPU Computing
• Computer Graphics
• Parallel Processing
• +۳ مورد دیگر

Markus Steinberger is an Associate Professor at Graz University of Technology (Austria), leading the GPU Computing and Visualization Group at the Institute for Computer Graphics and Vision. He holds an MSc and PhD in Computer Science from TU Graz, with a postdoc and multiple leadership roles in academic and industry labs, including NVIDIA and the Max Planck Institute. His research focuses on GPU scheduling, parallel computing, and high-performance visualization techniques. He has led teams at TU Graz, Huawei Technologies (Cloud Rendering Lab), and the Max-Planck-Center for Visual Computing. Education 11/2020: Habilitation in Practical Computer Science at TU Graz 10/2013: PhD in Computer Science (Dynamic Resource Scheduling on Graphics Processors) 10/2010: MSc in Telematics 10/2005: BSc in Telematics Research Interests Steinberger’s work centers on optimizing GPU computing for real-time rendering and parallel processing. He explores efficient resource scheduling, dynamic graph management, and high-performance visualization techniques, with applications in cloud rendering, scientific visualization, and interactive graphics. His methods emphasize scalability and real-world applicability in both academic and industrial settings. Awards Heinz Zemanek Prize (2016) – First Austrian recipient GI Dissertation Prize (2014) – Best dissertation in German-speaking computer science Multiple Eurographics Best Paper Awards (2021, 2020, 2014) HPEC Best Student Paper (2017) ACM CHI Honorable Mention (2014) Advising & Grants Steinberger has advised numerous students and led projects funded by EU initiatives and industry partnerships. His research has been recognized through grants supporting GPU scheduling, cloud rendering, and parallel computing. Labs & Teams Leads the GPU Computing and Visualization Group at TU Graz and directed the Cloud Rendering Lab at Huawei, focusing on scalable rendering solutions for distributed systems.

• 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.

• Embedded Systems
• Computer Engineering
• Real-Time Systems
• +۳ مورد دیگر

Dr. Karl M. Göschka is a Senior Lecturer and Researcher at Technikum Wien, a prestigious institution in Austria specializing in technical education. His primary affiliation is within the university's embedded systems research group, as indicated by his profile at embsys.technikum-wien.at. His work focuses on advanced engineering disciplines such as real-time systems, automation, and hardware-software integration. While specific educational background details are not provided in the text, his titles of Privatdozent (Priv.-Doz.) and Doctorate (Dr.) suggest advanced academic achievement and teaching qualifications. His research interests revolve around embedded systems and computer engineering, with a strong emphasis on practical applications in automation and control systems. No scientific awards, published articles, or student advisement records are explicitly mentioned in the provided text. However, his role as a researcher implies active involvement in technical projects related to his field of expertise. Contact details include his university email address and a direct phone line for inquiries.

• Assistive Technology
• Human-Computer Interaction
• Accessibility Engineering
• +۳ مورد دیگر

Christoph Veigl is a Senior Lecturer at Technikum Wien, focusing on assistive technology and accessibility engineering. His work emphasizes developing open-source solutions for individuals with disabilities, such as the AsTeRICS platform and the FLipMouse input device. He leads research in smart home accessibility, IoT integration, and user-centered design methodologies. Veigl's research interests include assistive technologies for communication, environmental control, and motor impairment solutions. His team develops tools like the Universal Access Panel for IoT-enabled smart homes and the AsTeRICS Grid framework for AAC systems. He collaborates internationally on projects addressing accessibility in gaming, embedded systems, and cross-cultural education. Veigl's publications highlight innovations in eye-tracking calibration, middleware for application integration, and standards for assistive technology design. His work bridges electrical engineering, biomedical engineering, and computer science to create inclusive technologies. Key contributions include over 24 peer-reviewed articles since 2001, with recent focus on democratizing AAC through open-source software and enhancing accessibility in emerging technologies.

• Digital Signal Processing
• Embedded Systems
• Artificial Intelligence
• +۳ مورد دیگر

Christoph Dalpiaz is a Researcher at the University of Applied Sciences Upper Austria's Research Center Hagenberg, affiliated with the Center of Excellence Medical Engineering/TIMed Center and Embedded Systems focal area, specializing in Digital Transformation and ICT. His work bridges theoretical signal processing with practical embedded device implementation. Education: Master of Science (M.Sc.) Dalpiaz's research focuses on computationally efficient signal processing techniques for resource-constrained systems, particularly multiplier-less architectures for Hilbert transformers and noise shaping filters. His work optimizes linear phase characteristics and broadband performance while minimizing hardware complexity, enabling advanced signal processing in medical engineering and communications applications where computational resources are limited. He currently serves as Co-Investigator in the Josef-Ressel-Center project "Embedded AI - Artificial Intelligence on Resource Limited Devices" (2024-2029), developing AI solutions for embedded platforms. This project leverages his expertise in optimizing algorithms for constrained environments, with direct applications in medical technology and industrial IoT systems.

• Computer Science
• Electrical Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Assoc. Prof. Fadi Al Machot is affiliated with the Alpen-Adria-Universität Klagenfurt , where he serves as an Associate Professor in the Department of Smart System Technologies. His email contact is Fadi.AlMachot@aau.at . The Department of Smart System Technologies suggests his research interests span advanced technological domains including: Artificial Intelligence Internet of Things Embedded Systems Smart Technologies

• Machine Learning
• Data Mining
• Social Network Analysis
• +۴ مورد دیگر

Yllka Velaj is an Assistant Professor in the Faculty of Computer Science, affiliated with the Research Group on Data Mining and Machine Learning. Her research focuses on machine learning, data mining, and network analysis, with applications in social networks, recommendation systems, and AI-enhanced education. She actively contributes to advancing methodologies for uncertain graphs, game-based learning in IT project management, and educational technologies targeting non-computer science students. Her scholarly activities include organizing events such as the Austrian Computer Science Day 2024. Her work bridges theoretical computer science with practical applications, emphasizing learner-centered approaches in data science education and innovative solutions for complex network problems. Key research areas include node embedding, cluster analysis, and algorithm design for social influence maximization. She collaborates on projects addressing multi-relational graph clustering, semi-supervised learning, and optimizing communication in datacenters.

• Data Science
• Data Engineering
• Data Visualization
• +۶ مورد دیگر

David Meyer is a Professor at the University of Applied Sciences Technikum Wien. Since 2017, he has served as Program Director for the Bachelor in Business Informatics program, and since 2020, also for the Master Data Science program. He is a Senior Lecturer and a member of the University Council. Education Habilitation in Business Informatics PhD in Business Informatics from Vienna University of Business Administration Undergraduate studies in Business Informatics at Vienna University of Technology and University of Vienna Lycée Français de Vienne Research Interests Meyer's work spans Data Science , including core areas like Data Engineering, Data Visualization, and Machine Learning. His focus extends to Statistical Computing , programming language R , ERP Systems , and Business Intelligence/Data Warehousing . He has held leadership roles in academic governance, including membership of the University Council since 2018 and board membership of the Doctoral College 'Resilient Embedded Systems' from 2018–2024. Professional Experience 2010–present: Professor and Lecturer at UAS Technikum Wien 2004–2010: Assistant Professor at WU Wien (Institute for Business Informatics) 2000–2004: Research Assistant at TU Wien (Institute for Statistics and Probability Theory) 1998–2000: Consultant at Arthur Anderson and as a freelancer 1995–1998: IT Project Manager for ERP systems 1990–1995: Software Engineer for medical ERP systems Contact Email: david.meyer@technikum-wien.at

Richard Heiningerمشاهده پروفایل

مدرس ارشد

• Communications Engineering
• Cyber-Physical Systems
• Digital Process Twins
• +۳ مورد دیگر

Richard Heininger is a Senior Lecturer at the Institute for Business Informatics - Communications Engineering at Johannes Kepler University Linz, where he teaches Communications Engineering courses and conducts research in cyber-physical systems and digital process engineering. His research interests include: Communications Engineering Cyber-Physical Systems Digital Process Twins Autonomy in Multi-Agent Systems Knowledge Management Process Engineering Professor Heininger maintains an active research profile with 22 documented research outputs including 13 conference proceedings, 5 peer-reviewed articles, and 4 book chapters. His recent publications demonstrate a strong focus on the intersection of human factors and technical systems, particularly in the areas of digital process twins, vulnerability management, and autonomy negotiation in multi-agent systems. His notable recent works include research on managing customer deviance in last mile logistics, human-centric negotiation mechanisms for multi-agent systems, and improving vulnerability management through process mining techniques. Professor Heininger is actively engaged in teaching, offering multiple Communications Engineering courses for the 2025W semester in various formats including lectures (VL), practical seminars (PS), and exercise sessions (UE and SE). His office is located in Science Park 3, 1st floor, Room S3 0153 at JKU.

• Assembly Tasks
• Smart Factory Systems
• Cloud Computing
• +۲ مورد دیگر

Johann Heinzelreiter serves as an FH-Prof. DI at the University of Applied Sciences Hagenberg, actively contributing to the Assistive Technology Lab and Center of Excellence for Smart Production . His research spans industrial automation, smart factory systems, and cloud computing applications in production environments. His research interests focus on assembly task modeling , low-cost tracking systems for industrial environments, and human-centered workplace design . Heinzelreiter develops practical solutions for real-world manufacturing challenges, particularly in optimizing human-machine collaboration on shop floors through the General Assembly Task Model (GATM) framework. Publication analysis reveals consistent contributions to industrial informatics, with recent work emphasizing smart factory implementation (2019-2020), cloud-based optimization (2014), and digital identity management (2015). His research demonstrates strong industry relevance through COIN Cooperation & Innovation projects. With an h-index of 34, Heinzelreiter has secured significant research funding through multiple COIN projects: Human Centered Workplace (2016-2021) - Co-Investigator Themis - Conserve Your Digital Life (2013-2015) - Principal Investigator BackmeUp - Offline Datensicherung Web 2.0 (2010-2012) - Principal Investigator He collaborates extensively with researchers including Pimminger, Kurschl, and Augstein across production environments and assistive technology domains. His work bridges academic research with practical industrial applications through the Smart Automation and Robotics initiative.

Roland Donningerمشاهده پروفایل

استاد

• Nonlinear Partial Differential Equ
• Mathematical Physics
• General Relativity
• +۵ مورد دیگر

Roland Donninger is a Professor of Analysis of Partial Differential Equations at the University of Vienna , affiliated with the Faculty of Mathematics and Department of Mathematics. He coordinates the Vienna Master Class Mathematical Physics and leads the Research Group Dispersive PDEs. Current research focuses on nonlinear partial differential equations, particularly wave maps, Yang-Mills equations, and Schrödinger equations. His work bridges mathematical physics, general relativity, and geometric analysis, utilizing spectral theory, harmonic analysis, and numerical simulations. Analysis of recent publications reveals trends in blowup dynamics , self-similar solutions , and stability theory for supercritical and energy-critical PDEs. Themes include geometric PDEs, harmonic map flow, and rigorous computer-assisted methods. Roland supervises PhD and Master’s theses in dispersive PDEs, with former students including Matthias Ostermann and Ziping Rao. His group is funded by the FWF (Austrian Science Fund) through projects P 34560, P 36455, and others.