جست‌وجوی استاد و پژوهشگر

Frank Michelbergerمشاهده پروفایل

استاد

• Railway Engineering
• Transportation Systems
• Sustainable Mobility
• +۶ مورد دیگر

Frank Michelberger is a Professor and Head of the Department of Railway Technology and Mobility at FH St. Pölten. He leads the Carl Ritter von Ghega Institute for Integrated Mobility Research and oversees academic programs including Rail Technology and Mobility (BA) and Rail Technology and Management of Railway Systems (MA). His career includes roles at ÖBB Traktion GmbH, BMVIT, and as a visiting researcher at the University of Genoa. Education: Mechanical Engineering from Ravensburg-Weingarten University of Applied Sciences and Environmental and Bioresource Management from BOKU Vienna. Research Interests : Focuses on sustainable mobility, railway infrastructure optimization, automated transportation systems, safety engineering, and cross-sectoral mobility solutions. His work addresses noise reduction in rail systems, innovative braking technologies, and gender-diverse design in rail vehicles. Key Projects : Includes CargoRider (mobility service on freight ships), StilvA (innovative braking systems), and NITOB (optimizing rail-based transport chains). Recent publications explore digital automatic coupling impact, noise barriers using clay, and DAS for broken rail detection. Awards : None explicitly listed. Active in grants and industry collaborations, including projects funded by FFG (Austrian Research Promotion Agency). Advising/Grants : Leads multiple funded projects and collaborates with institutions like TU Wien and international partners. Advises on train driver training and workplace ergonomics in rail systems. Labs/Teams : Oversees research teams in the Carl Ritter von Ghega Institute, focusing on mobility innovation and infrastructure sustainability.

• Bioinformatics
• Mass Spectrometry
• Machine Learning
• +۷ مورد دیگر

Viktoria Dorfer is a Professor at the University of Applied Sciences Hagenberg, affiliated with the Bioinformatics Center of Excellence and Medical Engineering/TIMed Center HEAL. She holds an ORCID iD (0000-0002-5332-5701) and has published 66 research outputs with an h-index of 9 and 676 citations. 2007–2012: Doctoral research on algorithmic approaches 2013–2016: FWF Translational Research on MS Amanda 2020–2022: PI for b-tastic project Research Interests: Spanning bioinformatics, mass spectrometry, and medical engineering, her work focuses on: Algorithm development for peptide identification Evolutionary algorithms in data analysis Mass spectrometry software platforms (AMANDA, Annika) Cross-linked peptide analysis Precision agriculture applications Medical device optimization 2024 Trends: Recent contributions include symbolic regression in livestock farming, enhanced rescoring platforms, and structural analysis of the C. elegans Box C/D complex. Awards: EuPA Bioinformatics Mass Spectrometry Award (2020) Leadership: Organized Austrian Proteomic Research Symposia (2017), served as reviewer/peer-reviewer for journals, and led interdisciplinary collaborations.

Philipp Alexander Raithمشاهده پروفایل

پژوهشگر

• Edge Intelligence
• Edge Computing
• Serverless Edge Computing
• +۱ مورد دیگر

Philipp Alexander Raith is a PreDoc Researcher and PhD student at the Distributed Systems Group of the Institute of Information Systems Engineering at Vienna University of Technology (TU Wien). His research focuses on edge intelligence, serverless edge computing, and AI operations, with a strong emphasis on resource optimization and infrastructure management across the edge-cloud continuum. BSc in Software Engineering (2018) from TU Wien MSc in Software Engineering & Internet Computing (2021) from TU Wien Research Interests encompass: Edge Intelligence Serverless Edge Computing AI/ML Operations Resource-aware Scheduling Distributed Systems Computing Continuum Publication Trends highlight his work in edge-cloud orchestration, neural feature compression, and quantum computing integration. Key areas include elasticity, serverless frameworks, and energy-aware architectures. Scientific Awards : UCC 2022 Best Paper Award SEC 2019 Best Demo Award 2020 Netidee Grant Winner Shortlisted for TU Wien Distinguished Young Alumnus Advising : Supervised multiple Master’s theses on edge-cloud autoscaling, AI workloads, mobile edge computing, and resource-aware offloading. Projects : Key contributor to AUTO-Cloud (2013–2025) and RAINBOW (2020–2022) projects.

• Forest Engineering
• Timber Harvesting
• Forest Road Logistics
• +۴ مورد دیگر

Dipl.-Ing. Dr. Franz Holzleitner is a researcher at the Institute of Forestry Technology , University of Natural Resources and Life Sciences Vienna (BOKU). His work focuses on forest engineering , timber harvesting , and smart sensing technology for forest road management. He actively contributes to alpine forestry and bark beetle control through mechanized solutions. Research Interests include: Timber Harvesting in steep terrain Forest Road Logistics using airborne and field data Bark Beetle Management via debarking technologies Smart Sensing for road condition assessment Fuel Efficiency in logging trucks Sustainable Forestry practices Scientific Awards : Formec 2019 Best Poster Award BOKU Teaching Award 2017 - 3rd Place Klaus Fischer Innovation Prize (2014, 2008) COFE Student Communication Award Nominee (2008)

Lorenz Kapralمشاهده پروفایل

پژوهشگر

• Machine Learning
• Anesthesia
• Critical Care Medicine
• +۴ مورد دیگر

Lorenz Kapral is a researcher at the Medical University of Vienna, affiliated with the Department of Anaesthesia, Intensive Care Medicine and Pain Medicine (Division of General Anaesthesia and Intensive Care Medicine). His work focuses on developing machine learning solutions for intraoperative monitoring and critical care optimization, with significant contributions to blood pressure forecasting and artifact detection in vital signs. His primary research interests include: Machine Learning for real-time clinical decision support Intraoperative complication prediction (hypotension, hypothermia) Artifact detection in electronic health records Reinforcement learning for critical care therapy optimization Public health aspects of patient-centered care during pandemics Emergency medical services operational analysis Analysis of his publication record reveals a strong interdisciplinary approach combining engineering, computer science, and clinical medicine. His most impactful work involves temporal fusion transformer models for blood pressure forecasting, achieving high accuracy in predicting intraoperative hypotension using low-resolution data from 73,009 patients. No scientific awards were mentioned in the available information. Dr. Kapral maintains active collaborations across multiple disciplines, working with clinicians, data scientists, and public health researchers on projects spanning anesthesia monitoring, sepsis management, emergency services, and pandemic response. His recent work demonstrates increasing integration of advanced machine learning techniques into practical clinical applications.

• Forestry Engineering
• Sensor Technology
• Occupational Safety in Forestry
• +۷ مورد دیگر

Ferdinand Hönigsberger is a researcher at the Institute of Forest Engineering (Institut für Forsttechnik) under the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on advancing occupational safety and digital transformation in forestry operations through sensor technology, artificial intelligence, and immersive learning tools. His research spans topics such as smart forest operations, explainable AI for risk zone detection in timber harvesting, virtual and augmented reality applications in forestry education, and environmental performance management in Austrian forestry. He has explored the integration of digital tools and robotics in forestry practices, emphasizing sustainable and human-centered approaches. Hönigsberger holds a Master's degree in Forestry Sciences from BOKU, awarded in 2021. His recent presentations at international conferences like IUFRO World Congress and FORMEC 2023 highlight his contributions to improving safety protocols and operational efficiency in forest management using cutting-edge technologies.

• CubeSat Technology
• Electric Propulsion
• Space Environment Monitoring
• +۴ مورد دیگر

Andreas Georg Stren is a researcher at the Department of Aerospace Engineering, Faculty of Engineering, Wiener Neustadt University of Applied Sciences. His work focuses on CubeSat missions, electric propulsion, and radiation effects on satellite components. Key Research Areas: CubeSat technology, magnetic properties, radiation hardness testing, and aerospace environment monitoring. Recent Contributions: Active participation in the 75th International Astronautical Congress (IAC) with publications on orbit-raising CubeSats, lunar navigation systems, and radiation-tolerant instrumentation. Collaborations: Works with international teams on CubeSat projects like CLIMB and ENVY, emphasizing mission planning and next-generation lunar navigation.

Daniela Wetzelhütterمشاهده پروفایل

استاد

• Social Sciences
• Values Research
• Social Innovation
• +۴ مورد دیگر

Daniela Wetzelhütter is a Professor at the University of Applied Sciences Upper Austria, based at the Research Center Linz with a focal area in Societal & Social Innovation. She holds an ORCID profile (0000-0001-5747-2250) and maintains an active research career with 55 research outputs, an h-index of 5, and significant citation impact across social science disciplines. Her work bridges theoretical frameworks with practical applications in contemporary societal challenges. Her research spans Social Sciences, Values Research using the Portrait Values Questionnaire, Social Innovation, and Artificial Intelligence applications in educational contexts. Recent work critically examines ChatGPT's role in quantitative data analysis for students while maintaining rigorous empirical standards. She also investigates leadership competencies in social organizations and hard-to-reach youth engagement in street work, demonstrating methodological versatility across multidimensional scaling, goodness-of-fit testing, and qualitative field approaches. Publication trends reveal increasing interdisciplinary convergence between social work methodologies and digital tools, with recent outputs showing strong emphasis on AI ethics in education and cross-cultural values research. Her 2024-2025 publications particularly highlight practical implementation frameworks for social innovation projects. She has received notable recognition including: Gabi Moser Forschungspreis 2022/23 GOR Poster Award (2023) Posterpreis (2023) As principal investigator, she leads substantial research initiatives including BF-ChatGPT in university settings (2023-2025), AiO-Monitoring for NEET youth integration (2023-2026), and extremism prevention training evaluations. These projects secure significant funding and involve extensive cross-institutional collaboration, particularly with Upper Austrian social service organizations and international partners in Africa and Middle Europe. Her 72 recorded activities include 41 peer-reviewed presentations and substantial editorial contributions. Wetzelhütter operates within the Research Center Linz ecosystem, directing teams focused on societal innovation where academic research directly informs social policy implementation. Current efforts prioritize developing AI literacy frameworks for social work students and evidence-based monitoring tools for integration services, reflecting her commitment to actionable scholarship in community contexts.

• Cybersecurity
• Artificial Intelligence Security
• Blockchain Technologies
• +۴ مورد دیگر

Peter Kieseberg is a Lecturer and Senior Researcher at the St. Pölten University of Applied Sciences , affiliated with the Institute for IT Security Research and Department of Computer Science and Security . He has held his lecturer position since November 2017 and contributes to research in Cybersecurity , Artificial Intelligence , and Blockchain Technologies . His research spans AI Security , Cyber Resilience , Data Privacy , and Explainable AI . He has co-authored numerous publications on topics such as Secure Drone Integration , AI Procurement Guidelines , and Blockchain-based Auditing . His work often bridges technical and legal domains, emphasizing Ethics and Transparency . Key Trends: Recent articles focus on Cyber Resilience Fundamentals , Controllable AI , and Risk Factors in AI Applications . Projects: Active in initiatives like A3 (AI Act for Austria) , Dataskop , and Josef Ressel Center for Blockchain Technologies . Education: Studied Technical Mathematics in Computer Science at TU Wien (2001–2007).

Thomas Novakمشاهده پروفایل

پژوهشگر

• Cooperative Mobility
• Automated Mobility
• Traffic Management Systems
• +۵ مورد دیگر

Thomas Novak is a researcher at the Center of Excellence Logistics LOGISTIKUM under Steyr University of Applied Sciences . His work focuses on cooperative mobility , automated driving , and human-centric industrial adaptation , with significant contributions to connected vehicle systems and smart transportation infrastructure . Research Trends : Recent publications highlight his expertise in driver acceptance of C-ITS services , digital twin development for mobility projects, and cognitive profiling in industrial processes. His work bridges academia and industry, particularly in Digital Twins and EGNSS-enabled road monitoring . Activities : Active in conferences and workshops like the ITS Austria Konferenz 2024 and auto.Flotte - Akteursworkshop , Novak contributes to strategic mobility initiatives such as LOG-ccam Austria and LOG-KAUSAL .

• Mathematics
• Number Theory
• Fractal Geometry
• +۳ مورد دیگر

Priv.-Doz. Dipl.-Ing.Dr. Paul Surer is a faculty member at the Institute of Mathematics , University of Natural Resources and Life Sciences, Vienna (BOKU). His research spans number theory, fractal geometry, and dynamical systems, with a focus on numeration systems and algebraic structures. Education: University Leoben (2005-2009), Universidade Estadual Paulista (UNESP) (2009-2011) Current Position: Associate Professor at BOKU's Institute of Mathematics (since 2014) Research Interests: Development of triangular labyrinth fractals and their geometric properties Rauzy fractals with measure-theoretic independence Innovations in substitutive number systems and coding prescriptions Representation theory for complex numbers using integer digits Applications in structural engineering via digital twin technology Publication Trends: 15 recent works (2014-2023) show expertise in fractal geometry, algebraic number theory, and interdisciplinary applications to structural analysis. Academic Service: Reviewer for journals like Bulletin of the Belgian Mathematical Society , Journal de Théorie des Nombres de Bordeaux , and Ukrainian Mathematical Journal .

Laszlo Böszörmenyiمشاهده پروفایل

استاد

• Distributed Multimedia Systems
• Self-Organizing Content Delivery
• Video Content Analysis
• +۲ مورد دیگر

Laszlo Böszörmenyi is Full Professor of Computer Science and Head of the Institute of Information Technology at Alpen-Adria University Klagenfurt, Austria. His research specializes in distributed multimedia systems with emphasis on self-organizing architectures and intelligent video content analysis. Research focuses on: Self-organizing content delivery networks Interactive video browsing and exploration Medical video analysis (endoscopic and surgical) Video content summarization and retrieval Distributed systems for multimedia applications He leads several research projects in medical multimedia and traffic surveillance systems. Dr. Böszörmenyi has published extensively on video analysis techniques, particularly for medical applications including: Surgical phase recognition in laparoscopic videos Endoscopic video compression and archiving Instrument detection in surgical workflows Specialized browsers for medical video exploration He serves as Associate Editor for Multimedia Systems Journal and participates in numerous program committees for multimedia conferences.

Michaela Neubauerمشاهده پروفایل

استاد

• Musculoskeletal Physiotherapy
• Manual Therapy
• Neurodynamics
• +۵ مورد دیگر

FH-Prof. Michaela Neubauer PT M. Physio serves as a Professor within the Department of Health Sciences at the Institute of Health Sciences, University of Applied Sciences St. Pölten. She has held this academic position since 2011 while maintaining active clinical practice. Her institutional affiliations include the Physiotherapy (BA) program and the Austrian Association for Manual Physiotherapy (ÖVMPT) where she serves on the board and training committee. Her research focuses on Musculoskeletal Physiotherapy with specialized expertise in Manual Therapy, Neurodynamics, and Interprofessional Education. Recent work examines the physiotherapeutic process implementation, neurodynamic techniques for cervical radiculopathy, and interprofessional teaching frameworks across European healthcare systems. Her publications demonstrate consistent contributions to orthopaedic manual therapy evidence, particularly regarding peripheral nerve disorders and clinical reasoning methodologies. Analysis of her 15 most recent publications reveals an evolving trajectory from specific manual therapy techniques (2016-2018) toward broader interprofessional education systems (2022-2024). Key thematic clusters include neurodynamic clinical applications, evidence-based orthopaedic rehabilitation, and innovative teaching methodologies for healthcare collaboration. The publications consistently bridge theoretical knowledge with clinical practice through case studies and critical appraisals. Her professional activities extend beyond academia through postgraduate instructor roles for the International Maitland Teachers Association (2003-2012), supervision of orthopaedic manual therapy trainees, and operation of a private physiotherapy practice. She holds a University Didactics Certificate from FH St. Pölten and maintains active engagement with professional organizations including ÖVMPT. Her educational background includes a Master of Manipulative Physiotherapy from the University of South Australia (2001) following clinical training at the Academy for Physiotherapy St. Pölten (1994-1997). Early career experience spans multiple Austrian hospitals and private practices, establishing the clinical foundation for her academic work in musculoskeletal rehabilitation.

• Gender Studies
• Cultural Studies
• Technology Assessment
• +۴ مورد دیگر

Katta Spiel is an Assistant Professor for 'Critical Access in Embodied Computing' at the Human-Computer Interaction Group of TU Wien. They lead the ERC Starting Grant project ACCESSTECH (2024-2029), focusing on marginalized perspectives in technology design. Previously held an FWF Hertha Firnberg position (Exceptional Norms project) and contributed to FWF projects Social Play Technologies and OutsideTheBox. Education: B.A. Media Culture, B.Sc. Media Systems, M.Sc. Computer Science and Media (Bauhaus-Universität Weimar). Doctorate in Participatory Design methodologies with autistic children. Research Interests: Critical Access, Disability Studies, Queer HCI, Participatory Design, Textile Technologies. Focuses on designing technologies that account for diverse realities through collaborative, solidarity-based approaches. Grants & Awards: ERC Starting Grant (2024), Förderungspreis Wien (2022), SIGCHI Outstanding Dissertation Award (2020). Active in policy roles including Austrian Monitoring Committee for UN Disability Convention and Young Academy of Austrian Academy of Sciences. Labs/Teams: Leads ACCESSTECH team at TU Wien's HCI Group. Collaborates with neurodivergent, disabled, and nonbinary communities in participatory research.

• Bioprocess Engineering
• Gene Therapy Vectors
• Protein Production
• +۴ مورد دیگر

Astrid Dürauer is a Privatdozent (Associate Professor) at the Institute of Bioprocess Science and Engineering within the University of Natural Resources and Life Sciences, Vienna (BOKU) . She holds leadership roles including Head of the Christian Doppler Laboratory for Knowledge-based Production of Gene Therapy Vectors and Deputy Head of the Department of Biotechnology . Her career spans over two decades in bioprocess development, with a focus on downstream processing, protein purification, and data-driven process modeling. PhD in Biotechnology (2001, BOKU Vienna) Habilitation in Bioprocess Engineering (2019, BOKU Vienna) Astrid's research centers on bioprocess optimization , particularly for gene therapy vectors and recombinant proteins . She pioneers the integration of machine learning and statistical models to enhance real-time monitoring and predictive analytics in downstream operations. Key projects include automation of process development, membrane fouling mitigation, and scalable chromatography systems. Her 15 most recent publications (2022–2025) highlight trends in explainable AI for biopharmaceutical processes, AAV vector production , HEK293 cell characterization , and continuous downstream processing . These works bridge biotechnology , data science , and industrial scalability . Scientific recognition includes: Head of Christian Doppler Laboratory (2023) Habilitation in Bioprocess Engineering (2019) She has led 7 funded projects (2014–2029) and served as Deputy Scientific Head for the BOKU Core Facility Biomolecular & Cellular Analysis (2020). Her work involves collaborations across statistics , molecular biotechnology , and industrial partners .