جست‌وجوی استاد و پژوهشگر

Johannes Heurixمشاهده پروفایل

پژوهشگر

• Data Privacy
• Healthcare Informatics
• Sustainable Building Design
• +۳ مورد دیگر

Johannes Heurix is a Researcher affiliated with the E194-04 - Forschungsbereich E-Commerce at TU Wien. His work focuses on interdisciplinary research at the intersection of data privacy, healthcare informatics, and sustainable building design. He has contributed significantly to projects like SEMERGY, which applies semantic web technologies to optimize energy-efficient building designs and retrofit strategies. His research also includes privacy-enhancing technologies, particularly in medical data anonymization and pseudonymization for secondary use. Research Interests: Data Privacy and Security Healthcare Informatics (De-identification of Medical Records) Sustainable Building Design and Optimization Semantic Web Technologies for Decision Support Systems Risk Management in Information Security Publications (2013–2016): Focus on semantic technologies for building performance optimization, privacy-preserving techniques in healthcare, and interdisciplinary cybersecurity challenges. Recent work emphasizes multi-objective optimization frameworks and taxonomies for privacy-enhancing technologies. Awards: No specific honors mentioned in available texts. Collaborations include extensive multi-institutional projects like SEMERGY, involving teams from TU Wien and other academic partners. Labs/Teams: Active in the Network Lab and SEMERGY research group, developing tools for energy-efficient building design and privacy-preserving data systems.

• Model-Driven Engineering
• Software Engineering
• Model Transformation
• +۳ مورد دیگر

Gertrude Kappel is a Full Professor (O.Univ.Prof.in) in the Business Informatics Research Area at TU Wien, Austria. Her research focuses on model-driven engineering, software systems modeling, and industrial applications of formal methods. She has contributed extensively to advancing UML/fUML standards, model transformation techniques, and interdisciplinary approaches to software engineering. Education and Academic Background: While specific educational details are not explicitly listed, her academic role at TU Wien indicates a PhD in Computer Science or related field. She has been actively involved in shaping curricula for model-based software engineering and adapting educational methods for remote learning environments. Research Interests: Her work bridges theoretical modeling frameworks with practical industrial challenges. Key areas include: Model-driven software development lifecycle Integration of IoT and CPS systems Formal verification of software models Temporal and time-series data modeling Interdisciplinary modeling methodologies Collaborations and Impact: Over 120+ publications since 2000 demonstrate her leadership in advancing model-based approaches across academia and industry. Recent work addresses Industry 4.0 challenges and digital transformation in production systems. Advising and Grants: While specific grant details are not provided, her extensive publication record and involvement in thesis supervision (evidenced by contributed theses) indicate active research leadership. She has guided student research on topics like cloud modeling languages, sensor data analysis, and model-driven testing frameworks. Labs and Teams: Core contributor to TU Wien's Network Lab and the Model-Driven Engineering research group. Active in interdisciplinary initiatives like the CPS/IoT Ecosystem platform and industrial process improvement projects.

• Composite Materials
• Computational Mechanics
• Artificial Intelligence
• +۲ مورد دیگر

Sophia Keller serves as a Researcher at the University of Applied Sciences Wels, Austria, within the Research Center Wels Center of Excellence Automotive/Mobility, specializing in Materials engineering. She holds a BSc and Dipl.-Ing. (Diplom-Ingenieur) degree, reflecting her engineering background. Her research integrates Composite Materials, Computational Mechanics, and Artificial Intelligence to advance composite manufacturing processes. Key focus areas include draping simulation optimization, finite element analysis acceleration through AI surrogates, and automation of fabric preforming using reinforcement learning. She develops novel methodologies for geometric defect detection and validation via 3D laser scanning. Recent publications (2023-2025) demonstrate a clear trajectory toward AI-enhanced engineering simulations, with increasing emphasis on real-time automation and quality control in composite production. Her work bridges computational modeling with industrial manufacturing challenges. She received significant recognition through academic awards: FH Wels InnovationAward (2022) As an active Co-Investigator on major research grants, Keller contributes to projects addressing automotive composite manufacturing challenges. Her collaborative work on AdiosRivet (2023-2026) focuses on welded joints for TP-CFRPC vehicle structures, while Pre-2-K (2025-2026) develops semi-automated preform manufacturing for complex 3D components. She operates within the Research Center Wels ecosystem, collaborating with engineering teams on laser scanning validation, robot-supported fiber angle measurement, and AI-driven process automation for the automotive mobility sector.

• Business Model Innovation
• Production Planning
• Supply Chain Management
• +۳ مورد دیگر

Shailesh Tripathi is a Researcher at the University of Applied Sciences Steyr within the Department of Production and Operations Management, actively contributing to the Steyr Center of Excellence for Smart Production and Josef Ressel Centre for Data-Driven Business Model Innovation. His research focuses on business model innovation through data-driven methodologies, production planning optimization, AI-integrated manufacturing systems, and supply chain analytics. Key methodologies include advanced machine learning applications, visualization tools for decision-making, and business model experimentation frameworks. Dr. Tripathi's recent work demonstrates strong interdisciplinary convergence between computer science and operations management, with publications emphasizing practical implementations in industrial settings. Research trends show increasing focus on sustainable production systems and customer-centric digital transformation. He has received the Innovation Management Best Paper Award (2023) for contributions to business model innovation frameworks. Additional recognitions include multiple Scopus-indexed publications with significant industry impact. As Co-Investigator, he secured major funding including the €1.2M Josef Ressel Centre for Data-Driven Business Model Innovation (2023-2027) and the Advanced Analytics for Production project (2017-2019). Current grants focus on AI-driven production optimization and sustainable supply chain modeling. He leads research teams at the Steyr Center of Excellence for Smart Production, collaborating with industrial partners like Siemens and Bosch on real-time production analytics and digital twin implementations.

• Big Data Visualization
• Interactive Visualization
• Scientific Visualization
• +۱۲ مورد دیگر

Peter Hofer is a Professor at the University of Applied Sciences Upper Austria, specializing in Big Data Visualization , Interactive Visualization , and Business Intelligence within accounting and financial management. His work bridges digital transformation with user experience in financial systems. Recent projects include USIVIS (User-Centered Interactive Visualization for Big Data) and studies on dashboard design for sustainability reporting. His research emphasizes SAP S/4 HANA implementation and data-driven decision support systems in finance. 2024 : Authored books and conference papers on financial management, cost accounting, and ESG dashboard design. 2023 : Received the Best Paper Award Lehre CARF for his work on SAP-based accounting education. 2022 : Published empirical studies on New Work paradigms in controlling.

Hikaru Ibayashiمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Neural Networks
• +۳ مورد دیگر

Hikaru Ibayashi is a Researcher at Meta's Instagram organization. He holds a Ph.D. in Computer Science from the University of Southern California and dual degrees in Computer Science (M.S.) and Physics (B.S.) from the University of Tokyo. His research focuses on deep neural networks, physics-informed machine learning, and optimization algorithms. Ph.D.: University of Southern California (Computer Science) M.S.: University of Tokyo (Computer Science) B.S.: University of Tokyo (Physics) Research interests include scalable neural network-based quantum molecular dynamics simulations, analysis of SGD behavior in non-convex landscapes, and adaptive fluid simulation techniques. His work bridges machine learning theory with computational physics and graphics applications. Key contributions include the Allegro-Legato model for robust molecular dynamics simulations and novel approaches for liquid simulation using dynamically warping grids. Notable collaborations involve institutions like the University of Tokyo, IST Austria, and TU München.

Thomas Felberbauerمشاهده پروفایل

استاد

• Production Planning
• Simulation
• Supply Chain Management
• +۶ مورد دیگر

FH-Prof. Dr. Thomas Felberbauer is a Professor and Head of the Department of Media and Digital Technologies at the University of Applied Sciences St. Pölten. He serves as Academic Director of the Smart Engineering (BA) program and is a member of the University's Board (2023-2026). His roles include overseeing the Institute of Creative Media/Technologies and coordinating interdisciplinary programs in Data Science & AI and Digital Innovation & Research. Prof. Felberbauer’s career spans academia and industry: since 2016, he has held academic positions at FH St. Pölten, focusing on Industry 4.0 and Smart Engineering. Earlier roles include Assistant Professor (2015–2016) and Research Associate (2011–2015) at FH-OÖ. He is also a self-employed IT consultant (FeTh eU since 2011) and previously worked in electrical systems and production at BMW Motoren GmbH (2000–2006). His research emphasizes simulation-based optimization for production planning, supply chain dynamics, and Industry 4.0 applications. Notable projects include aquaponics data-sharing frameworks and energy-cost balancing in manufacturing. He employs advanced simulation techniques to address stochastic demand, forecast accuracy, and inventory management challenges. Prof. Felberbauer contributes to applied industry partnerships, including projects on circular economy systems and production planning gamification. His work bridges theoretical models with real-world implementations, particularly in automotive and small-batch production sectors. He advocates for decentralized production control and data-driven decision-making in smart manufacturing systems.

Lukas Gnamمشاهده پروفایل

مدرس

• Energy Transition
• Renewable Energy Systems
• Smart Grids
• +۴ مورد دیگر

Lukas Gnam holds the position of Lecturer and Researcher at the University of Applied Sciences Burgenland's Energie-Umweltmanagement department. His work focuses on energy transition challenges, particularly in renewable energy integration, district heating optimization, and smart energy systems. He has co-authored over 49 publications, emphasizing interdisciplinary approaches to energy system modeling, user-centric energy management, and decarbonization strategies. Key projects include studies on wind power utilization in district heating networks, socially-accepted home energy management systems, and P2P energy trading models. His research combines technical innovation with socio-economic analysis, addressing both infrastructure upgrades and end-user behavior. Collaborations involve institutions like 4ward Energy Research GmbH and TU Wien, focusing on projects such as BEYOND, Empower Citizens, and Hybrid DH DEMO. Gnam's work often employs mixed-integer linear programming and co-simulation tools (e.g., MATLAB/IDA-ICE) to evaluate energy system performance under diverse scenarios. Publications highlight advancements in thermal storage pooling, fossil fuel reduction via PV integration, and long-term heating demand forecasting considering demographic shifts. His projects aim to bridge gaps between technical feasibility and societal acceptance in achieving climate-neutral energy systems.

• Industrial Psychology
• Business Administration
• Corporate Volunteering
• +۹ مورد دیگر

Heiko Breitsohl serves as Professor and Head of the Institute for Organization, Personnel and Service Management at Alpen-Adria-Universität Klagenfurt, Austria. His academic leadership spans organizational behavior, human resources management, and industrial psychology with significant contributions to presenteeism research and methodological advancements in structural equation modeling. His research portfolio encompasses: Industrial and Organizational Psychology Human Resources Management systems Corporate Volunteering dynamics Employee Retention strategies Presenteeism and Absenteeism phenomena Structural Equation Modeling applications Survey Design and Empirical Social Research Analysis of his 15 most recent publications reveals sustained focus on workplace attendance behaviors, particularly presenteeism, with methodological rigor in scale development (e.g., Workplace Attendance Behavior Legitimacy Scale) and experimental designs. His 2021 collaborative paper in Industrial and Organizational Psychology emphasized critical synergy between substantive theory and methodological precision in organizational research. Scientific Awards: No major scientific awards listed in available sources Details regarding doctoral student supervision and research grant funding are not specified in current institutional profiles, though his leadership role implies oversight of research activities within the Institute. His ORCID and ResearchGate profiles indicate active scholarly engagement through publications and academic collaborations. As Head of Institute, Breitsohl directs research initiatives focused on organizational behavior measurement, employee well-being, and quantitative methodological innovations, maintaining strong connections with international research communities through co-authored publications with scholars across Europe and North America.

• Dynamical Systems
• Nonlinear Dynamics
• Neurocomputing
• +۴ مورد دیگر

Jean Chamberlain Chedjou is an Associate Professor at the Department of Smart System Technologies within the Faculty of Technical Sciences at Alpen-Adria University Klagenfurt, Austria. His 30+ year career spans appointments at universities in Cameroon, Germany, Italy, and France, with current research focused on nonlinear dynamics, neurocomputing, and traffic systems. He holds a Dr.-Ing. from Leibniz University of Hanover and achieved Habilitation at Alpen-Adria University in 2014. His educational background includes: Bachelor in Physics, University of Yaoundé (1990) Master in Electronics, University of Yaoundé (1992) Doctorate (Doctorat de troisième cycle) in Electronics, University of Yaoundé (1999) Dr.-Ing. in Electrical Engineering, Leibniz University of Hanover (2004) Habilitation, Alpen-Adria University Klagenfurt (2014) Dr. Chedjou's research centers on Nonlinear Dynamics and Neurocomputing , with critical applications in analog computing for differential equation solving, traffic telematics, and chaotic circuit design. His work bridges theoretical analysis of multistable systems with practical microcontroller-based implementations, particularly in inertial Hopfield neural networks and coupled oscillator networks. Recent expansions include machine learning applications for diabetes prediction and battery health monitoring. Analysis of his 2024-2025 publications reveals dominant trends in multiscroll chaotic attractors, hyperchaotic circuit design with three+ positive Lyapunov exponents, and experimental validation through Arduino/microcontroller platforms. A significant shift toward healthcare applications (diabetes prediction, health monitoring) using neural network architectures is evident alongside continued work on traffic modeling and semiconductor device physics. Scientific recognition includes: DAAD Research Fellowship (2003-2004) AUF Research Fellowship (2005-2006) Ausgezeichnete Lehre teaching award from Alpen-Adria University As a dedicated mentor, Dr. Chedjou has supervised numerous Master's and PhD theses in nonlinear systems and traffic informatics. His research is supported by international fellowships and evidenced through extensive editorial service including Springer co-edited volumes, IEEE conference committees, and reviews for top journals like IEEE Transactions on Circuits and Systems. He actively contributes to curriculum development through university commissions. Current work occurs within the Department of Smart System Technologies laboratory, focusing on hardware implementations of chaotic systems and transportation informatics. Collaborations span the Abdus Salam International Centre for Theoretical Physics (ICTP) and French/German institutions, with emphasis on translating theoretical models into physical electronic systems.

Doris Oberdabernigمشاهده پروفایل

استاد

• Environmental Economics
• Econometrics
• Quantitative Economics
• +۳ مورد دیگر

Doris Oberdabernig is a Professor of Economics with a focus on Environmental Economics at the University of Innsbruck's Department of Public Finance within the Faculty of Economics and Statistics . She coordinates the affiliated Research Center «Innsbruck Decision Sciences» and leads a research team comprising Patrick Tomberger and Linh Nguyen. Her work emphasizes quantitative methods such as econometrics, computable general equilibrium (CGE) modeling, and applied policy analysis. Her research interests center on environmental and energy economics, particularly methane and carbon footprint analysis, global supply chain integration, and sustainability metrics. She has contributed to studies on emission convergence, European Union energy policies, and the link between economic growth and environmental impacts. Her work frequently employs panel data methodologies and Bayesian structural models. Notable publications include analyses of methane emission patterns across nations, energy trade networks, and the environmental implications of global value chains. She has also addressed socioeconomic topics like educational mobility of migrants, IMF lending dynamics in Sub-Saharan Africa, and welfare policy impacts on immigration attitudes. Dr. Oberdabernig is affiliated with the Institute of Public Finance and maintains an active profile in research seminars and academic service. Her research combines rigorous quantitative approaches with policy relevance, addressing pressing issues in climate change mitigation, sustainable development, and global economic integration.

• Production Planning
• Logistics Management
• Operations Research
• +۳ مورد دیگر

Hubert Missbauer is a Full Professor for Production and Logistics Management at the University of Innsbruck. He holds a Diploma (1982) and Doctorate (1986) in Business Administration from the University of Linz, with a Habilitation in Business Administration (1994) focusing on manufacturing planning systems. His research emphasizes production planning concepts, workload control, and optimization in manufacturing systems, particularly in steel production. He co-organizes the International Working Seminar on Production Economics and serves on the editorial board of the International Journal of Production Economics . Research interests include order release optimization, production scheduling in steel industries, and quantitative methods in operations management. Recent work focuses on Lagrangian decomposition algorithms, behavioral perspectives in workload control, and integrated scheduling in steel production processes. He has published extensively in top-tier journals like International Journal of Production Research and European Journal of Operational Research . Education: University of Linz (Diploma 1982, PhD 1986, Habilitation 1994) Affiliations: Institute for Information Systems, Production and Logistics Management at University of Innsbruck Key Projects: Steel production scheduling, iterative LP-simulation algorithms, behavioral studies in manufacturing control Editorial Roles: Guest Editor for International Journal of Production Economics since 2020 His work bridges theoretical models (e.g., clearing functions, transient analysis) with practical applications in industries like steelmaking and construction. Recent presentations include discussions on Lagrangian approaches at the INFORMS Annual Meeting (2024) and EURO conferences.

• Environmental Engineering
• Water Resource Management
• Smart Water Infrastructure
• +۳ مورد دیگر

Univ.-Prof. Robert Sitzenfrei holds a professorship in the Department of Environmental Engineering at the University of Innsbruck. His research focuses on advancing smart water infrastructure through interdisciplinary applications of graph theory, artificial intelligence, and IoT technologies. He leads the Environmental Engineering Section, addressing challenges in water distribution systems resilience, leakage management, and urban drainage network optimization. Key research interests include: Graph-based methodologies for critical infrastructure analysis Explainable AI applications in water demand forecasting Smart sensor integration for real-time network monitoring Resilience enhancement of interdependent water systems Optimization of decentralized urban water networks Recent work emphasizes digital twin development for water systems, leveraging hydraulic modeling and machine learning to improve infrastructure reliability. Collaborations include the Smart Water Campus initiative, a real-world testbed for integrated smart water solutions. His contributions bridge computational methods with practical urban water challenges, addressing both technical and socio-technical aspects of resource management.

Rudolf Sailerمشاهده پروفایل

مدرس

• Remote Sensing
• Glaciology
• Mountain Environmental Changes
• +۳ مورد دیگر

Dr. Rudolf Sailer is a Lecturer and Academic Coordinator (BSc/MSc) at the Department of Geography, University of Innsbruck. His research focuses on Remote Sensing, Topographic LiDAR, and Mountain Environmental Changes, with a particular emphasis on glaciology, rockfall dynamics, and permafrost processes. He actively contributes to courses such as Statistical Exercises and coordinates bachelor's thesis seminars. Research interests include glacier mass balance, aerodynamic roughness modeling, and geomorphological processes in alpine environments. His work integrates multi-scale remote sensing data (e.g., Sentinel, LiDAR) and field observations to quantify environmental changes. He has collaborated on projects analyzing the Rofental research basin and the Khumbu Himal in Nepal. Recent publications address glacier mapping, rockfall activity, and snow cover dynamics using advanced remote sensing techniques. His lab, Remote Sensing & Topographic LiDAR, emphasizes interdisciplinary approaches to mountain environmental challenges.

Boaz Blankrotمشاهده پروفایل

پژوهشگر

• Optical Engineering
• Nanophotonics
• Computational Design
• +۳ مورد دیگر

Boaz Blankrot is a Researcher at TU Wien's Forschungsbereich Scientific Computing and Modelling. His work focuses on computational design and optimization of nanoscale photonic and metamaterial structures. He has contributed to areas such as deterministic optimization of photonic crystals, dielectric metamaterial design, and power flow optimization in inclusion structures. His research integrates applied mathematics, computational electromagnetics, and materials science to advance optical and nanophotonic systems. Key publications include studies on aperiodic demultiplexers, automated photonic crystal design, and energy-efficient metamaterial configurations. Blankrot collaborates with experts like Clemens Heitzinger, emphasizing interdisciplinary approaches to solve complex engineering problems. His work is published in peer-reviewed journals and conference proceedings, reflecting a strong focus on both theoretical and applied aspects of photonics and nanotechnology.