جست‌وجوی استاد و پژوهشگر

• Marketing
• Sustainable Agriculture
• Market Research
• +۴ مورد دیگر

Oliver Meixner is an Associate Professor at the Institute of Marketing and Innovation within the Department for Economics and Social Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU) . His work focuses on agricultural economics, sustainable marketing, and consumer behavior in food systems. Key Research Areas: Sustainable agriculture and food economics Consumer behavior and market research Innovation and digital transformation in agrifood Notable Contributions: Developed methodologies for AHP group decisions and fuzzy priority aggregation Evaluated eco-label effectiveness and food waste reduction strategies Assessed EU rural development programs' impact on agricultural competitiveness Publications & Projects (2016-2024) show a consistent focus on: Food labeling and consumer trust Sustainability assessments in agribusiness Digital transformation in food networks Climate crisis impact on consumer behavior Innovative marketing models for agrifood chains Scientific Recognition Award of Excellence (ISAHP 2020) Most Innovative Idea Award (ISAHP 2016) Literati Network Outstanding Paper (2013) Advising spans 123 theses including topics on: Consumer preferences for eco-labels Acceptance of alternative proteins Digital food shopping behavior Payment willingness for sustainable products

• Forest Inventory
• Forestry
• Biometrics
• +۹ مورد دیگر

Dr. Tim Ritter is a Senior Scientist at the Institute for Forest Growth, University of Natural Resources and Life Sciences Vienna (BOKU), with expertise in biometrics, forest inventory, and laser scanning applications. He earned his Dr. forest. ("summa cum laude") in 2014 from Georg-August-Universität Göttingen, following M.Sc. and B.Sc. degrees in Forest Ecosystem Analysis and Forestry. Research Focus: Terrestrial/Personal Laser Scanning (TLS/PLS) for forest mapping Stochastic corrections for tree non-detection Spatial statistics and 3D forest modeling Deadwood inventory and carbon storage analysis Forest road monitoring and harvesting damage detection Publications Trends: Recent work emphasizes LiDAR integration in forest inventory, automated point cloud analysis, and digital twin development for forest ecosystems. Key methods include machine learning, spatial regression, and multi-sensor data fusion for timber volume estimation and biodiversity assessment. Scientific Awards: 2014: Finding talent: Researcher Career Grant Professional Activities: Editorial Board Member for Frontiers in Forests and Global Change (2023), Topical Advisory Panel for Sustainability (2020), and active reviewer for 15+ journals including Remote Sensing and Forests . Presented 55+ lectures across 5 countries, including keynote speeches at international conferences.

• Remote Sensing
• Forestry
• Vegetation Monitoring
• +۴ مورد دیگر

Markus Immitzer is a Senior Scientist at the Institute of Geomatics, University of Natural Resources and Life Sciences, Vienna (BOKU). His research focuses on land cover classification, vegetation monitoring, and biophysical parameter modeling using remote sensing data from various platforms (UAV, aircraft, satellite) and sensors (multispectral to hyperspectral, LiDAR). He teaches courses in remote sensing, geodata management, and photogrammetry. Education includes a Ph.D. (2017) on mapping tree species using satellite imagery, Diplomingenieur in Forestry Science (2013), and M.Sc. in Wildlife Ecology and Wildlife Management (2011), all from BOKU. Professional experience includes positions at Swiss Federal Research Institute WSL (2023) and Geotree Ltd./Mantle Labs Ltd. (2022). Research interests center on developing remote sensing methodologies for forestry applications, habitat modeling, and vegetation monitoring. Key focus areas include tree species classification, disturbance detection, biomass estimation, and multi-sensor data integration for environmental monitoring. Recent publications demonstrate strong emphasis on operational forest monitoring using multi-platform remote sensing data, with applications in carbon project verification, biodiversity assessment, and fire danger modeling. Research increasingly incorporates machine learning techniques and multi-temporal analysis for improved accuracy in vegetation characterization. Awards and honors include: BOKU Best Paper Award (2024) BOKU Sustainability Award nomination (2020) Multiple dissertation awards (2018-2019) Research prizes for forest remote sensing (2017-2018) Performance scholarships (2005-2009)

Stefan Bifflمشاهده پروفایل

دانشیار

• Software Engineering Process Improvement
• Cyber-Physical Production Systems
• Empirical Software Engineering
• +۵ مورد دیگر

Stefan Biffl is an Associate Professor of Software Engineering at Technische Universität Wien's Institute of Information Systems Engineering. He holds MS and PhD degrees in Computer Science from Vienna University of Technology and an MS in Social and Economic Sciences from the University of Vienna. His research focuses on software-intensive systems engineering, particularly in process improvement, quality assurance, and cyber-physical production systems. He has led over €4M in research projects, including the 7-year Christian Doppler Laboratory for Software Engineering Integration. Biffl has authored/co-authored over 250 publications and serves on program committees for top conferences like ICSE and ESEC/FSE. His current roles include co-leading TU Wien's Center for AI and Machine Learning (CAIML) Business group and supervising the Doctoral College on Trustworthy Autonomous Cyber-Physical Systems. Key research areas span systems architecture, empirical software engineering, and digital humanism principles in automation. He has advised major automotive companies like Volkswagen and Neuman Aluminium through the Comet Center for Digital Production. Biffl's involvement in academic organizations includes steering committees for ECSA and SEAA, and他曾担任多个期刊的客座编辑。他的著作包括《基于价值的软件工程》等 Springer 出版的书籍。研究项目注重工业自动化与知识工程的交叉应用，特别是在集体智能系统和 Industry 4.0 领域。 近期项目包括探索 AI 在商业绩效提升中的应用（2025 年）、数字化工单的安全风险分析（与 Secure Business Austria 合作）以及基于数据的汽车生产优化。他的工作强调将人本主义原则融入数字化转型，确保技术进步与社会价值的结合。

• Modelling & Simulation
• Health Policy and Planning
• Data Science
• +۳ مورد دیگر

Nikolas Popper is a Senior Scientist and Research Fellow at the Technische Universität Wien (TU Wien), affiliated with the Department of Data Science (E194-04). He leads the DEXHELPP initiative (Decision Support for Health Policy and Planning) as its director and chairs the COMET Initiative. His primary research focuses on modeling and simulation of dynamic systems, particularly in healthcare, logistics, and biomedical engineering. Key areas include hybrid simulation, comparative modeling, and the integration of data-driven methods into policy decision-making. Popper's academic roles include teaching courses on modeling and simulation, health technology assessment, and advanced simulation techniques. He has pioneered the use of agent-based models to address public health challenges, notably during the COVID-19 pandemic, where his work supported Austrian policy decisions. His interdisciplinary projects span railway optimization, vaccine strategy modeling, and patient-centric health technologies. He holds leadership positions in multiple academic societies, including ISPOR (Austrian Chapter President), EUROSIM, and ASIM. Notable awards include the 'Österreicher des Jahres' (Research Category, 2021) and the Gerhart-Bruckmann-Preis (2021). His research has been funded by grants from the Austrian government, FFG, and FWF, addressing topics like vaccination prioritization and pandemic response systems. Popper’s contributions extend to founding initiatives like the 'drahtwarenhandlung' science production studio and the dwh GmbH spin-off from TU Wien. He actively engages in public discourse on data-driven decision-making and pandemic modeling through media and conferences.

Manfred Kleidorferمشاهده پروفایل

استاد

• Urban Water Management
• Climate Change Adaptation
• Sustainable Drainage Systems
• +۴ مورد دیگر

Prof. Manfred Kleidorfer is a University Professor of Environmental Technology at the University of Innsbruck’s Faculty of Engineering. He leads the Department of Environmental Technology, focusing on urban water management, climate adaptation, and sustainable infrastructure. His work integrates engineering, environmental science, and policy to address challenges like flooding, drought resilience, and resource efficiency in alpine regions. Research: Prof. Kleidorfer’s research emphasizes urban drainage systems, nature-based solutions (e.g., blue-green infrastructure), and climate change impacts. Notable projects include BlueGreenCities (enhancing alpine city resilience through green infrastructure) and RECONECT (regenerating ecosystems via NBS for hydro-meteorological risk reduction). He also co-leads initiatives like BEJOND (stormwater treatment beyond design limits) and CONQUAD (assessing urban water system adaptations). Publications & Tools: He has authored over 50 peer-reviewed articles on topics like hydraulic modeling, urban heat mitigation, and flood risk management. His team developed tools like Achilles (vulnerability assessment for water infrastructure) and Smart Rain Barrels (IoT-based stormwater management). These innovations received recognition, including the 2011 Tiroler Innovationspreis for Achilles . Grants & Partnerships: Funded by EU H2020, Austrian Research Promotion Agency (FFG), and the Climate and Energy Fund, his projects partner with municipalities, SMEs, and international consortia. Key collaborations include Tyrolean utilities (e.g., Innsbruck Municipal Utilities AG) and global networks like the Aqua Urbanica initiative. Labs & Teams: His department operates specialized labs for software development (e.g., Smart Water Control ), hydraulic modeling, and environmental monitoring. The team includes experts in GIS, complex network analysis, and life cycle assessment, ensuring interdisciplinary problem-solving.

Gollas, Bernhardمشاهده پروفایل

دانشیار

• Electrochemistry
• Electrodeposition
• Reaction Mechanisms
• +۶ مورد دیگر

Bernhard Gollas is an Associate Professor at the Institute for Chemistry and Technology of Materials at Graz University of Technology since 2009. He studied chemistry at the University of Tübingen and the University of Oregon, earning his PhD in molecular electrochemistry in 1996. After postdoctoral work at the University of Southampton, he joined TU Graz in 2001 as Assistant Professor and later held leadership roles at the Centre for Electrochemical Surface Technology (2001-2014). His research spans electrochemistry, electrodeposition mechanisms, and functional coatings with applications in energy storage and industrial electroplating. Research Interests include: Electrochemistry of solid/liquid interfaces Electrodeposition from deep eutectic solvents Spectroelectrochemical reaction mechanisms Electrochemical quartz-crystal microbalance (EQCM) Functional coatings for corrosion resistance Post-lithium battery materials (Mg, Zn, Al) Publication Trends show focus on electrochemical energy storage (zinc-air, aluminum, magnesium batteries), green solvents, and advanced surface characterization techniques like PM-IRRAS and AFM-SECM. His work addresses dendritic growth suppression, hydrogen evolution mitigation, and industrial electroplating innovations. Research Group includes 20+ members and alumni working on electrochemical methods, coating technologies, and energy storage systems. Collaborative projects like ECOCAPS , IP-URFC , and Uniform highlight his interdisciplinary approach. Contact : Phone: +43 316 873-32338 Email: bernhard.gollas@tugraz.at Room: CE.02.030 Institute: Stremayrgasse 9, 8010 Graz

• IT Security
• Cybersecurity
• Open-Source Software Analysis
• +۳ مورد دیگر

Tobias Dam serves as an Academic Professional at the Institute of IT Security Research within the Department of Computer Science and Security at St. Pölten University of Applied Sciences. His work focuses on practical cybersecurity challenges with emphasis on open-source software ecosystems, data space security, and web-based threats. Based in the B-Campus-Platz 1 location, he actively contributes to both research and educational initiatives in IT Security. His educational background includes completing HTL St. Pölten's Department of IT/Computer Science program from 2008-2013, followed by a Bachelor's degree in IT Security at St. Pölten University of Applied Sciences from 2013-2016. He gained practical experience in 2015 working on software development, security, and configuration management in the "upribox" project. Since 2016, he has been pursuing a Master's degree in Information Security at the same institution. Dr. Dam's research spans multiple critical areas in modern cybersecurity, with particular expertise in analyzing vulnerabilities in open-source software ecosystems. His work on critical open-source software databases represents significant contributions to understanding the "health status" of important open-source projects. He has also made notable advances in data space security, developing policy patterns for usage control, and conducting extensive analyses of web-based threats including typosquatting, pop-up scams, and cryptojacking. His research uniquely bridges theoretical frameworks with empirical analysis of real-world security issues, often examining how privacy techniques like k-anonymity impact machine learning classifiers and how data deletion affects model integrity. His publication record demonstrates consistent contributions to major cybersecurity conferences and journals, with recent work focusing on dataspace connector implementations, critical open-source software metrics, and vulnerability assessment in open-source packages. His research trajectory shows increasing specialization in the security challenges of modern data ecosystems while maintaining strong connections to practical implementation concerns. Through his video presentations on cloud services versus self-operated programs and secure remote corporate IT access, Dr. Dam actively engages in knowledge transfer to broader technical audiences beyond traditional academic publication channels.

Simon Hoherمشاهده پروفایل

مدرس ارشد

• Industrial Informatics
• Robotics
• Systems Theory
• +۹ مورد دیگر

Simon Hoher is a Senior Lecturer at the Department Information Technologies and Digitalisation at Salzburg University of Applied Sciences. He serves as Head of Degree Programme Industrial Informatics & Robotics and Head of Academic Area Systems Theory & Mechatronics, focusing on interdisciplinary research at the intersection of industrial informatics, robotics, and simulation technologies. Head of Degree Programme Industrial Informatics & Robotics Head of Academic Area Systems Theory & Mechatronics Senior Lecturer, Department Information Technologies and Digitalisation Salzburg University of Applied Sciences His research interests include industrial informatics, robotics, material flow simulation, and digital twins. He explores the application of simulation techniques like digital twins and Petri nets in production systems, alongside the development of smart manufacturing solutions and reconfigurable robotic systems. Simon Hoher’s recent publications highlight the integration of real-time simulation with reinforcement learning, the use of topology in time series analysis, and the application of OPC UA in industrial big data architectures. His work spans material flow modeling, virtual commissioning, and human-machine interaction in post-robotics contexts. Contact: simon.hoher@fh-salzburg.ac.at

Martin Bicherمشاهده پروفایل

پژوهشگر

• Agent-Based Modeling
• Simulation
• Epidemiology
• +۳ مورد دیگر

Martin Bicher is a Researcher at the Institute for Information Systems Engineering (E194) within the Faculty of Informatics at Vienna University of Technology (TU Wien), affiliated with the E-Commerce Research Area and Network Lab. His work bridges computational modeling and public health, with a focus on agent-based simulation for epidemiological decision support. His primary research interests include Agent-Based Modeling , Simulation , and Epidemiology , with significant contributions to understanding SARS-CoV-2 transmission dynamics, vaccination strategies, and pandemic response systems. His methodology emphasizes Decision Support Systems that integrate multi-model approaches for real-world policy challenges, particularly evident in his extensive COVID-19 research portfolio spanning modeling, forecasting, and intervention evaluation. Analysis of his recent publications reveals a dominant focus on computational epidemiology, where he pioneers agent-based simulation frameworks for vaccination optimization, contact-tracing effectiveness, and variant surveillance. His work consistently integrates interdisciplinary perspectives—combining operations research, environmental science, and public health—to address complex pandemic dynamics, with notable methodological contributions in Monte Carlo simulation and integrated modeling frameworks. As an active FWF (Austrian Science Fund) project researcher, he collaborates extensively with institutions like the Complexity Science Hub Vienna, evidenced by frequent co-authorship with Nikolas Popper and Claire Rippinger. His leadership in the Network Lab drives innovation in simulation-based decision support for public health crises, with emerging work on election safety during pandemics and wastewater surveillance systems.

• Media Ethics
• Transdisciplinary Research
• Philosophy of Science
• +۵ مورد دیگر

Larissa Krainer serves as Associate Professor at the Institute of Media and Communication Studies, University of Klagenfurt, where she holds the position of Chair of the Senate. Her academic profile centers on ethical dimensions of media practices and transdisciplinary research approaches within communication studies. Her core research domains include: Media Ethics and Philosophical Foundations Transdisciplinary and Intervention Research Methodologies Sustainability Communication Frameworks Philosophy of Science in Media Contexts Critical Analysis of Media Codes and Self-Regulation Recent publications (2022-2025) reveal consistent focus on ethical challenges in digital media environments, particularly examining sustainability integration in media codes across the DACH region, normative shifts in media organizations, and transdisciplinary communication tools. Her work bridges theoretical philosophy with practical media ethics applications, addressing emerging issues like fact-checking platforms, online conflict dynamics, and surveillance normalization. No scientific awards were documented in the source materials. Information regarding student supervision and research grants was not provided in available documentation. She operates within the Institute of Media and Communication Studies at the University of Klagenfurt, contributing to its research profile through active participation in the Senate and scholarly output centered on ethical media practices and transdisciplinary approaches.

• Computer Simulation
• Electrical Power Engineering
• Information Technology
• +۷ مورد دیگر

Wilfried Elmenreich is a Professor at the Institute for Networked and Embedded Systems at Alpen-Adria-Universität Klagenfurt. He holds roles as Member of the Senate and Member of the Works Council for Academic University Staff. His research focuses on computational systems, energy engineering, and smart technologies, including swarm intelligence, cyber-physical systems, and sustainable energy solutions. Key interests include non-intrusive load monitoring (NILM), renewable energy integration, and decentralized learning paradigms. Research priorities encompass computer simulation, electrical power engineering, complex systems, and self-organization. Notable work includes frameworks like SwarmFabSim for production scheduling and CPSwarm for swarm robotics design. He also explores sustainability education and pandemic-related behavioral shifts in sustainability attitudes. Recent publications highlight advancements in federated learning for smart grids, energy disaggregation using NILM, and applications of biologically-inspired algorithms in critical infrastructure. His work integrates simulation reproducibility, open-source tools like Gradle/Docker, and educational games for renewable energy awareness (e.g., DAYSAM). Labs/Teams: Core member of the Institute for Networked and Embedded Systems, leading projects in CPS design, energy systems, and swarm robotics. Collaborates on EU initiatives like CPSwarm and educational outreach in sustainable development.

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.

• Anaerobic Digestion
• Biogas Production
• Wastewater Treatment
• +۵ مورد دیگر

Wolfgang Gabauer is a Researcher at the Institute of Environmental Biotechnology within the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). His work spans multiple research projects focused on sustainable resource management, with current leadership roles in EU and FFG-funded initiatives including SYMSITES (2022-2026), VARESI (2022-2025), and BioFlock (2020-2023). His research interests center on anaerobic digestion technologies, biogas production from diverse organic waste streams, and nutrient recovery systems. Gabauer specializes in developing innovative solutions for meat processing wastewater, slaughterhouse residues, and agricultural byproducts, with particular expertise in two-stage digestion processes, membrane technologies for ammonia extraction, and resource-efficient treatment systems that support circular economy principles. Analysis of his publication record reveals consistent focus on practical implementation of biogas technologies, with recent work emphasizing industrial symbiosis, nutrient cycling, and process optimization for diverse waste streams including food industry residues, chicken manure, and paper waste. His research bridges fundamental process engineering with practical applications in sustainable agriculture and waste management. Gabauer actively supervises graduate students, with recent Master's thesis work on biogas desulfurization and ammonia extraction technologies. He has secured substantial research funding from Austrian Research Promotion Agency (FFG) and European Commission sources, demonstrating strong grant acquisition capabilities. His collaborative network spans multiple European institutions working on bioeconomy and circular resource management initiatives.

• Forest Engineering
• Remote Sensing
• Digital Transformation in Forestry
• +۳ مورد دیگر

Christoph Gollob is a researcher at the Institute of Forest Growth within the Department for Economics and Social Sciences at the University of Natural Resources and Life Sciences, Vienna . His work focuses on integrating advanced technologies like LiDAR and personal laser scanning (PLS) into forestry operations for improved inventory, monitoring, and safety. Gollob leads projects such as Digitization of round wood measurements along the forestry/wood value chain using laser scanning (2024–2027) and contributes to subprojects like Lidar based forest monitoring and harvesting planning (2023–2026). Research Interests: Digital transformation in forestry, remote sensing, forest engineering, tree species classification, and sustainable forest management. Projects: 3 active or completed research projects funded by Austrian federal ministries and the Austrian Research Promotion Agency (FFG). Advising: Supervised 13 theses (7 master’s, 6 diploma) related to laser scanning applications, timber measurement, and forest safety. Media Appearances: 16 media mentions (print, web) discussing digital forestry solutions, including interviews and public outreach on forest monitoring and safety. Presentations: 78 lectures across 10 countries (Austria, USA, Italy, Germany, etc.), with keynotes on digital forestry and human-centered AI. Publications: 106 publications, including high-impact journal articles and conference proceedings on LiDAR, forest inventory, and smart sensor systems.