جست‌وجوی استاد و پژوهشگر

• Corporate decision-making
• Behavior control
• Budgeting
• +۶ مورد دیگر

Assoc. Prof. MMag. Dr. Alexandra Rausch is an Associate Professor at the Department of Controlling and Strategic Management , Institute of Management at Alpen-Adria-Universität Klagenfurt . Her research focuses on corporate decision-making, budgeting, controlling, and economics, with particular emphasis on agent-based modeling of organizational dynamics and team coordination. University: Alpen-Adria-Universität Klagenfurt Affiliation: Institute of Management Department: Department of Controlling and Strategic Management Rausch's research explores: Organizational behavior and individual-group interactions Coordination mechanisms in dynamic teams Strategic management and adaptive systems Controlling frameworks for corporate sustainability Agent-based modeling of distributed decision-making Recent publications demonstrate interdisciplinary work spanning both management science (team coordination, strategy-making) and pharmacological chemistry (indazole derivatives for autoimmune therapies). 2022-2025 work highlights coordination benefits in virtual teams, dynamic group adaptation, and pharmaceutical compound development. She teaches courses in controlling and strategic management, with consultation hours available by appointment via email at Alexandra.Rausch@aau.at . Contact details: Phone +43 463 2700 4032 | Office S.0.10 Main Building, South Wing West, Level 0.

Willy Zwaenepoelمشاهده پروفایل

استاد

• Operating Systems
• Distributed Systems
• Database Replication
• +۴ مورد دیگر

Willy Zwaenepoel is a Professor and Dean of the Faculty of Engineering at the University of Sydney. He holds a B.S. from the University of Gent and M.S./Ph.D. from Stanford University. Previously, he served as Dean of the School of Computer and Communication Sciences at EPFL and was a faculty member at Rice University. His expertise spans operating systems, distributed systems, and high-performance computing. Education: B.S., University of Ghent, Belgium (1979) M.S., Stanford University (1980) Ph.D., Stanford University (1984) Research Interests: Dr. Zwaenepoel focuses on distributed systems, operating systems, and their applications in database replication, virtual machine performance, and software update mechanisms. His work includes foundational contributions to distributed shared memory (e.g., Treadmarks) and startups like iMimic Networking. Awards: ACM Fellow (2000) IEEE Fellow (1998) Fellow of the Australian Academy of Technical Sciences and Engineering (2020) Recipient of the IEEE Tsutomu Kanai Award (2007) Key Contributions: His research addresses challenges in distributed systems performance, such as latency reduction in key-value stores and efficient graph processing. Current projects explore I/O optimization in virtualized environments and causal consistency for geo-replicated systems. Students/Advising: Advises Ph.D. students and postdocs, including William in database replication. His mentorship led to the Rice University Teaching Award (2000).

Torsten Hoeflerمشاهده پروفایل

استاد

• Deep learning Systems
• Parallel programming models
• High performance and datacenter networking
• +۸ مورد دیگر

Torsten Hoefler is a Full Professor of Computer Science at ETH Zurich, Switzerland, with an adjunct appointment in Electrical Engineering. He previously held roles at the National Center for Supercomputing Applications (University of Illinois at Urbana-Champaign) and Indiana University. Full Professor of Computer Science, ETH Zurich (2020–present) Adjunct Professor of Electrical Engineering, ETH Zurich (2020–present) Member at Large, ACM SIGHPC Executive Committee (2013–present) Leadership roles in the MPI Forum and Blue Waters project His research focuses on performance-centric system design , with emphasis on scalable networking, parallel programming models, and performance modeling. Key contributions include the Slim Fly network topology, Data-Centric Python framework, and innovations in parallel graph computations and RDMA-based systems. Recent publications span topics like LLM training networks , quantization geometry , chiplet interconnects , and AI-driven climate modeling , reflecting his interdisciplinary approach combining HPC, AI, and hardware-software co-design. ACM Gordon Bell Prize (2019) ERC Consolidator Grant (2020) IEEE TCSC Award for Excellence (2019) SIAM SIAG/SC Junior Scientist Prize (2012) Latsis Prize of ETH Zurich (2015) He has received multiple best paper awards at top conferences (SC10, SC13, SC14, SC19, IPDPS'15, HPDC'15, OOPSLA'16) and contributed to MPI-3 standardization.

Donatella Sciutoمشاهده پروفایل

استاد

• Electronic Design Automation
• Embedded Systems
• Multiprocessor Systems
• +۵ مورد دیگر

Donatella Sciuto is a Full Professor of Computer Science and Engineering at Politecnico di Milano, serving as Executive Vice Rector overseeing research strategies. She holds a PhD from the University of Colorado, Boulder and an MBA from Bocconi University. Her research focuses on embedded systems design, low-power electronics, and cyber-physical systems, with contributions to smart cities and ICT infrastructure. Education: Bachelor's in Electronic Engineering, Politecnico di Milano (1984) PhD in Electrical and Computer Engineering, University of Colorado, Boulder MBA, SDA Bocconi School of Management Research Interests: Embedded systems, multiprocessor architectures, hardware/software co-design, power-efficient computing, and building automation via IoT technologies. She leads the Embedded Systems Design research group at Politecnico di Milano and coordinates EU-funded projects in smart cities and reconfigurable systems. Awards: IBM Women Leaders in AI (2021) IEEE Fellow (2011) EDAA Fellow (2010) Outstanding Contribution Award, IEEE Computer Society (2009) Professional Roles: Board Member: Bank of Italy, Istituto Italiano di Tecnologia, STM, Avio Former President, IEEE Council of Electronic Design Automation (2011-2013) Executive Committee Member, Design Automation and Test in Europe (DATE) conference Labs/Teams: Leads the Embedded Systems Design and Design Methodologies group at Politecnico di Milano, collaborating with CEFRIEL on executive education programs in embedded systems and IoT.

Stefan Häusslerمشاهده پروفایل

پژوهشگر

• Operations Management
• Production Planning
• Supply Chain Management
• +۴ مورد دیگر

Stefan Häussler is a researcher affiliated with the Department of Information Systems, Production and Logistics Management at the University of Innsbruck , and coordinates the Innsbruck Decision Sciences research center. His work focuses on Operations Management , Production Planning , and Supply Chain Management , employing methods like discrete event simulation , optimization techniques , econmic experiments , and machine learning . He collaborates with researchers such as Hubert Missbauer, Gregor Blossey, Julian Fodor, and Florian Merkle. His research emphasizes practical applications in supply chain dynamics, including behavioral analyses and predictive lead time modeling. Häussler seeks to address societal challenges like food security and social inequality through his work. He values interdisciplinary collaboration and enjoys engaging in discussions and projects through the IDS network. Key themes in his publications include optimizing order release mechanisms, analyzing human decision-making in supply chains, and integrating machine learning for production planning. While no specific awards are listed, his active research output reflects ongoing contributions to the field.

Alexander Meschtscherjakovمشاهده پروفایل

استاد

• Human-Computer Interaction
• Interaction Design
• Computer Sciences
• +۳ مورد دیگر

Alexander Meschtscherjakov is a Professor at the University of Salzburg specializing in Artificial Intelligence and Human Interfaces . With over 198 research outputs and 18 projects, his work focuses on Human-Computer Interaction (HCI), Augmented Reality (AR), and Interactive Systems for mobility and urban design. Active Projects : DiMo-NEXT (2024-2028), Doctoral College Human-Computer Interaction (2022-2027), LBI Digital Health (2019-2026) Research Themes : AR in public spaces, adaptive motion tracking, sustainable design, and user-centered AI frameworks His 15 most recent articles (2023-2025) explore AR applications in urban design (2025), generative AI democratization (2025), motion sickness prevention (2016), and breathing-based interaction methods (2023). Notable scientific awards include the Lasting Impact Award Automotive UI (2024), CHI 2019 Honourable Mention , and multiple best paper awards.

Stefan Haeusslerمشاهده پروفایل

دانشیار

• Production Planning
• Logistics Management
• Workload Control
• +۷ مورد دیگر

Stefan Haeussler is an Associate Professor at the Department of Information Systems, Production and Logistics Management within the University of Innsbruck , Austria. His academic career spans since 2009, starting as a University assistant while completing his PhD in Management. He holds dual diplomas in Business Administration (2009) and Political Science (2010) from the same university. Specializing in production and logistics management, Häussler combines optimization techniques with machine learning approaches to address complex manufacturing challenges. His research focuses on Workload control systems Order release mechanisms Lead time management Reinforcement learning applications Semiconductor manufacturing optimization Behavioral operations in supply chains Recent publications highlight his work on integrated production planning , explainable AI for powertrain control , and dynamic workload allocation . He actively presents at major conferences like Winter Simulation Conference, EURO, and International Working Seminar on Production Economics. Häussler also teaches master's level courses and supervises thesis work in production economics, while serving as a guest lecturer on topics at the intersection of AI and manufacturing.

Thomas Högeمشاهده پروفایل

پژوهشگر

• Work and Organizational Psychology
• Neoliberal Ideology in Workplace
• Organizational Democracy
• +۴ مورد دیگر

Thomas Höge is a researcher at the University of Innsbruck's Department of Applied Psychology, where he focuses on critical perspectives in work and organizational psychology. His research examines neoliberalism's impact on workplaces, organizational democracy, socio-moral climates, and occupational well-being. He co-leads the Innsbruck Group on Critical Research in Work and Organizational Psychology (I-CROP) and coordinates international conferences on radical humanist approaches. His research interests center on: Critical analysis of neoliberal ideology in work environments Organizational democracy and participatory practices Work flexibility's psychological consequences Socio-moral organizational climates Meaningfulness in work and its relationship to well-being Höge's publications predominantly explore power dynamics in organizations, democratic governance structures, and well-being in professional settings (especially healthcare). His methodological approaches include meta-analyses, mixed-methods designs, and cross-cultural comparisons. He has led several funded projects including: WELL-MED: Well-being of medical students/practitioners (FWF-funded) Work-life balance in Tyrolean gastronomy (Tiroler Wissenschaftsfonds) Career uncertainties among young scientists (Hypo Tirol Bank) Höge collaborates with international researchers across Europe and contributes to developing assessment tools like the Work Analysis Screening (WA-S) for higher education settings.

• Production Engineering
• Operations Management
• Sustainable Manufacturing
• +۳ مورد دیگر

Balwin Bokor is a Researcher at Steyr University of Applied Sciences, affiliated with the Department of Production and Operations Management. His work focuses on industrial systems, simulation modeling, and sustainable manufacturing practices. Bachelor of Arts (BA), Master of Science (MSc) Research Interests: Bokor's research spans production engineering and operations management, emphasizing energy efficiency, logistics optimization, and simulation-based analysis. His studies address material requirements planning (MRP), constant work-in-process (CONWIP) systems, and flexible capacity adjustments in multi-stage production environments. Article Trends: Recent publications highlight simulation-driven approaches to production planning, energy cost balancing, and control system optimizations. These works align with Industry 4.0 trends in smart production and sustainable logistics. Scientific Awards: Recipient of the Würdigungspreis (2022), an Austrian award recognizing academic merit. Collaborations: Active in cross-institutional research networks, with collaborations in production system engineering, battery manufacturing, and energy reduction strategies. His work contributes to the 'fingerprint' research areas identified by Steyr University of Applied Sciences.

• Production Planning
• Operations Management
• Simulation Optimization
• +۳ مورد دیگر

Wolfgang Seiringer is a researcher at the Research Center Steyr, Center of Excellence for Smart Production within the HEAL Production and Operations Management department at the University of Applied Sciences Upper Austria (FH Steyr). Holding academic degrees of Magister (MMag.) and Bachelor of Technology (Bakk. techn.), he maintains an active research profile with an h-index of 21 and 12 research outputs spanning 2017-2025. His educational background includes a Magister degree in Social and Economic Sciences and a Bachelor of Technology, though specific institutions are not documented in available sources. These qualifications underpin his technical expertise in production systems engineering and quantitative analysis. Seiringer's research centers on production planning and control systems, with specialized focus on Material Requirements Planning (MRP), simulation-based optimization, and energy-aware production logistics. His work employs simheuristics and discrete event simulation to address challenges in volatile production environments, including variant diversity reduction, safety stock optimization, and rolling horizon planning. Recent investigations examine the interplay between energy pricing dynamics and production scheduling efficiency. Analysis of his 2024-2025 publications reveals a cohesive research trajectory emphasizing simulation-driven evaluation of production systems. Key thematic clusters include algorithmic approaches to production variant management, energy-cost tradeoff modeling in dispatching rules, and computational efficiency improvements in constraint-based production control frameworks. His methodology consistently integrates real-world production constraints with advanced simulation techniques. While no specific scientific awards are documented, Seiringer's research impact is evidenced by his Scopus-indexed publications and active conference participation. His work contributes to the evolving field of smart production systems through practical simulation frameworks and parametric optimization studies. He served as Co-Investigator in the SimGenOpt2 project (2017-2021), which developed robust production planning methodologies under the 'Production of the Future' initiative. Though details of individual grants are limited, his collaborative projects demonstrate sustained research funding. Seiringer has supervised at least one research work and maintains active engagement through conference presentations at the Winter Simulation Conference series (2021-2023). As a core member of the Center of Excellence for Smart Production at Research Center Steyr, he contributes to advancing production system engineering through simulation-based research. His collaborative network spans institutions including Johannes Kepler University Linz and industrial partners in the production technology sector, focusing on practical implementation of smart manufacturing solutions.

Babiloni Fabioمشاهده پروفایل

استاد

• Neuroscience
• Biomedical Engineering
• Electroencephalography (EEG)
• +۵ مورد دیگر

Fabio Babiloni is a Full Professor of Physiology at Sapienza University of Rome, Italy, and held a concurrent Full Professorship at Hangzhou Dianzi University (2015–2018). His research focuses on neuroscience, biomedical engineering, EEG signal processing, brain-computer interfaces, and mental state estimation through neurophysiological signals. He has held significant editorial roles at IEEE journals and international societies. Notable awards include the 2021–2024 recognition as one of the top 2% cited neuroscientists globally and Italy’s research innovation award (2019). His work emphasizes practical applications like assessing mental workload in aviation controllers, drivers, and virtual reality environments. Research interests span EEG technology advancements, stress and workload biomarkers, and interdisciplinary neuroscientific methodologies. Over 4000 citations highlight his contributions to neurophysiological signal analysis in high-stakes operational contexts. Editorial leadership includes associate editorships at top journals and advisory roles in IEEE EMBS. His lab (Lab NSI) integrates cutting-edge tools for real-world neurophysiological monitoring.

Martin Hitzمشاهده پروفایل

استاد

• Human-Computer Interaction
• Usability Engineering
• Smart Home Systems
• +۵ مورد دیگر

Martin Hitz is a Full Professor for Interactive Systems at the University of Klagenfurt , where he founded the Interactive Systems research group (IAS) in 2000. He serves as Chairman of the University Senate (2022-2025) and previously as Vice Rector (2001-2006, 2012-2020) and Dean of the Faculty of Technical Sciences (2007-2012). His academic career includes assistant/associate professor roles at the University of Vienna and visiting positions at Politecnico di Milano, University of Ottawa, and University of Linz.

Alireza Furutanpeyمشاهده پروفایل

پژوهشگر

• Edge Computing
• Edge Intelligence
• Distributed Inference
• +۳ مورد دیگر

Alireza Furutanpey is a University Assistant (PreDoc Researcher) at TU Wien's Distributed Systems Group within the Institute of Information Systems Engineering, holding a Master's degree with distinction. His academic role combines research in distributed systems with teaching responsibilities for core computer science courses. His educational background includes: Bachelor of Science (BSc) Master of Science (Dipl.-Ing.) with distinction Furutanpey's research centers on Edge Computing and Edge Intelligence, specializing in Distributed Inference, Neural Data Compression, and AI-Systems integration. He pioneers techniques for neural feature compression in satellite/edge environments and develops frameworks for federated learning orchestration under communication constraints. His work bridges theoretical AI with practical system implementation, focusing on resource-constrained scenarios where bandwidth and computational efficiency are critical. Analysis of his 15+ publications reveals dominant trends in neural compression for distributed systems (60%), federated learning optimization (25%), and serverless edge frameworks (15%). Key contributions include solving satellite downlink bottlenecks through feature compression and enabling adaptive inference in heterogeneous edge networks, with methodologies increasingly incorporating generative modeling and robustness against adversarial attacks. Scientific Awards: None documented in available sources. He actively supervises master's theses, guiding students on adversarial machine learning, neural compression, and image retrieval systems. His research is supported through major projects: AloTwin (2023-2025) focusing on edge intelligence, INTEND (2024-2026) on industrial IoT, and TEADAL (2022-2025) on federated learning. He serves as a reviewer for 15+ IEEE/ACM venues including IEEE Transactions on Mobile Computing and ICDCS. Furutanpey operates within TU Wien's Distributed Systems Group, which specializes in edge-cloud continuum research. The team develops tools like faas-sim for serverless edge simulation and explores quantum-classical hybrid architectures, maintaining strong industry collaborations in industrial IoT and satellite communications.

• End-of-life research
• Participatory and Action research
• Mixed methods research
• +۵ مورد دیگر

Carol Tishelman is a Professor at Karolinska Institutet with an Endowed Chair in Innovative Care, integrating health and social care. She co-leads the Division for Innovative Care Research with ~20 researchers, while maintaining part-time roles at Stockholm Health Care Services and the Centre for Rural Medicine in Northern Sweden. Her work spans end-of-life care, cancer research, and health systems innovation. Professor, Karolinska Institutet (2007-present) Investor Professor of Innovative Care (2014-present) Part-time Professor at Centre for Rural Medicine (2018-present) Research interests include end-of-life care , cancer nursing , mixed methods research , and health promotion . Her transdisciplinary DöBra program combines public health and biobehavioral research, while EU projects like RN4CAST address nurse staffing impacts on mortality. Recent work explores public palliative care awareness and innovative visual methodologies. Publications (Google Scholar h-index=45) demonstrate methodological diversity across health services research , palliative care , and cancer symptom analysis . Key collaborations include the International Cancer Benchmarking Partnership and leadership roles in the European Society for Palliative Care . Lifetime Achievement Award, European Oncology Nursing Society (2016) Mebius Kramer Lecturer award (2008) Birgitta Bloms award (2003) Sigma Theta Tau Xi Chapter Award (1979) Carol has mentored PhD students like Jane Ball and Lisa Smed Alenius , and led EU projects investigating nursing workforce impacts on patient outcomes. Current work focuses on rural healthcare innovation and expanding biobehavioral research integration.

Tirado Franciscoمشاهده پروفایل

استاد

• Power Aware Computing
• Heterogeneous Computing
• Applications optimization
• +۴ مورد دیگر

Francisco Tirado is a Full Professor of Computer Architecture at Complutense University of Madrid since 1986. He has held leadership roles including Vice-Chancellor for Research (2012-2015), Dean of the Faculty of Physics (1994-2002), and Director of the Complutense Supercomputing Center (2002-2007). He is a founding member of the Spanish Society for Computer Science (SCIE) and Spanish Society for Computer Architecture (SARTECO). His research focuses on power-aware computing, heterogeneous systems, bioinformatics, and hardware design automation. He has authored over 242 publications and supervised 15 PhD theses. His professional service includes chairing 138 international conferences and serving on numerous committees for EUROMICRO, IEEE, and national research agencies. Education: No explicit details provided, but has been active at Complutense University since 1978. Affiliations: Member of COSCE Executive Board (2012), IEEE Senior Member (2005), and EUROMICRO Board (1991-2004). Research Interests: - Optimizing energy efficiency in high-performance computing systems - Design of heterogeneous architectures and accelerators - Bioinformatics applications through hardware/software co-design - Parallel programming models for emerging architectures - Automation tools for FPGA and embedded systems development Conference Contributions: Played multiple roles (General Chair, Program Chair) for major events like ParCo, HPCA, and EUROMICRO PDP conferences. Delivered 64 keynote/plenary lectures globally. Scientific Awards: Doctor 'Honoris Causa' from universities in Spain, Paraguay, and Peru 2013 National Computer Science Award IEEE Senior Membership Advising: Supervised 15 PhD students. Active in technology transfer contracts with industry. Labs/Teams: Founder and leader of the ArTeCS research group at Complutense University, specializing in computer architecture and high-performance computing innovations.