جست‌وجوی استاد و پژوهشگر

• Nanotechnology
• Biomedical Engineering
• Microscopy
• +۷ مورد دیگر

Jaroslaw Jacak is a Professor at the University of Applied Sciences Upper Austria (FH Linz), where he leads research in nanotechnology and biomedical engineering. He is affiliated with the Center of Excellence Medical Engineering/TIMed Center and directs NASAN - Nano Structuring and Bio-Analytics. His work bridges advanced imaging, nanofabrication, and biomedical applications with significant research output spanning over two decades. Dr. Jacak's research focuses on cutting-edge technologies in biomedical engineering: Nanoscale imaging and manipulation using STED lithography 3D bioprinting and microfabrication techniques Extracellular vesicle research and therapeutic applications Stem cell differentiation on engineered scaffolds Single-molecule analysis of cellular interactions Microfluidic systems for cell analysis Photochemical processes for biomaterial development His recent publications (2023-2025) demonstrate a clear trajectory toward precise nanoscale tools for biological investigation, with emphasis on multiphoton lithography, protein photoresists, and extracellular vesicle purification. The research shows strong integration of physics, engineering, and biology to solve complex biomedical challenges. Dr. Jacak has secured substantial research funding through multiple competitive projects: BF-SigSim (2024-2025): As Co-PI, developing signaling pathway simulation for gene expression prediction LiSSCeD (2018-2022): As PI, creating 3D lithographical scaffolds for stem cell differentiation Vascular MicroLab (2018-2021): As PI, characterizing thrombocyte aggregation under flow conditions Bioceta (2018-2023): As PI, biophysical characterization of extracellular bioparticles for therapeutic application He leads the NASAN research group which has developed groundbreaking techniques using STED lithography for single-protein capacity nano-anchors and advanced imaging applications. His team maintains strong collaborations across European research institutions and has produced over 116 research outputs with significant citation impact (h-index: 22).

• Artificial Intelligence
• Evolutionary Algorithms
• Machine Learning
• +۵ مورد دیگر

Lars Mehnen serves as a Senior Lecturer and Researcher at the University of Applied Sciences Technikum Wien (UAS Technikum Wien) in Austria, where he has been teaching since 2019 in Computer Science and previously from 2003-2019 in Biomedical Engineering. His academic career includes significant roles at Vienna University of Technology as University Assistant (2004-2007) and Research Assistant (1998-2002), along with leadership positions in major international space initiatives including QB50 (2010-2013), GENSO (2006-2010), and SSETI (1999-2006). TU-Wien: Dipl.Ing. in Computer Engineering and Medical Informatics Dr. Techn. from Institute for Fundamentals and Theory of Electrical Engineering and Institute of Technical Mathematics Mehnen's research spans multiple domains with particular expertise in Artificial Intelligence, Evolutionary Algorithms, and Sensor Technology. His work in explainable and non-parametric evolutionary algorithms represents cutting-edge contributions to AI methodology. In biomedical engineering, he has developed innovative magnetoelastic skin curvature sensors for cardiovascular monitoring and other medical applications. His teaching portfolio is exceptionally diverse, covering Statistics (parametric and non-parametric), Artificial Intelligence, Aerodynamics (particularly for sports equipment), Physics for game engineering, and extensive programming topics including Java, C/C++, Python, and functional programming languages. His publication record from 2001-2024 shows a clear evolution from early work on magnetostrictive bilayer sensors toward more recent applications of machine learning in biological classification, medical diagnostics, and educational technology. The 2024 publication on ChatGPT's diagnostic accuracy for medical conditions demonstrates his engagement with the latest AI developments. His research consistently bridges theoretical computer science with practical applications in healthcare, sports engineering, and space technology. Mehnen has been deeply involved in European collaborative projects throughout his career, including QB50 (EC F7), GENSO (ESA initiative), and B-Sens (EC-Project in 5th framework). These projects involved coordination with numerous universities and institutions across Europe, demonstrating his ability to lead international research collaborations. His work on the SSETI Express satellite project resulted in the successful launch of a micro-satellite at the end of 2005. At UAS Technikum Wien, Mehnen contributes to curriculum development across multiple domains including statistics, AI, programming, and physics. His research on paraglide control systems demonstrates application of his expertise to sports safety technology, while his recent work in teaching analytics shows commitment to improving educational outcomes through data-driven approaches.

• Prostate Cancer
• Androgen Therapy
• Urologic Oncology
• +۳ مورد دیگر

Hubert Grießner serves as a physician-scientist at the Department of Urology and Andrology within the School of Medicine at Paracelsus Medical University, Salzburg. His clinical work spans both the University Clinic for Urology and Andrology and the University Clinic for Ear, Nose and Throat Diseases, with primary focus on urologic oncology and pharmacological interventions. His research concentrates on advanced prostate cancer therapeutics, particularly androgen deprivation strategies, chemotherapy agents (docetaxel), and novel pharmacological compounds including darolutamide and abiraterone. Key methodological approaches encompass prospective randomized trials, real-world evidence analysis, and nuclear medicine applications for treatment response prediction. Publication trends reveal consistent contributions to high-impact urologic oncology literature, with recent emphasis on triplet therapy protocols for metastatic disease, surgical technique comparisons for prostate conditions, and biomarker-driven treatment personalization using PSMA-targeted imaging. His collaborative Austrian multicenter studies demonstrate strong regional research integration. Professional activities include academic presentations such as his 2019 opening lecture on urolithiasis, reflecting engagement in broader urological discourse beyond his primary oncology focus. His clinical-pharmacological expertise is evidenced through publications addressing both therapeutic innovations and infectious disease management within urological contexts.

Simon Kranzerمشاهده پروفایل

مدرس ارشد

• Knowledge Transfer
• Cognitive Manufacturing
• Digital Twins
• +۷ مورد دیگر

Simon Kranzer is a Senior Lecturer and Head of Research Group at the Department of Information Technologies and Digitalisation, FH Salzburg. His work bridges academic research and practical application in digital transformation. Location: Campus Urstein, Room 425 Contact: simon.kranzer@fh-salzburg.ac.at | +43-50-2211-1316 Research Focus: Digital Twins for industrial systems Collaborative Robotics (Co-Bots) in retail Knowledge Transfer between academia and industry Operational Technology (OT) Security Data Acquisition and Visualization Programming Language Applications in industrial contexts Research Trends: Recent publications show expertise in retail automation (service robots, customer behavior analysis), industrial digital twins, and OT security. Earlier work spans GIS-SCADA integration, medical software implementation, and 3D microstructure analysis. Collaborative Projects: Active in interdisciplinary living labs, smart factory bootcamps, and 5G-based robotics exploration.

Matias Valdenegro-Toroمشاهده پروفایل

استادیار

• Machine Learning
• Robotics
• Computer Vision
• +۵ مورد دیگر

Matias Valdenegro-Toro serves as Assistant Professor for Machine Learning at the Bernoulli Institute within the Faculty of Science and Engineering at the University of Groningen. His research focuses on enabling robots to achieve human-like perception, with expertise spanning Deep Neural Networks, Reinforcement Learning, and underwater robotic vision systems. Previously, he held positions as a Researcher at the German Research Center for Artificial Intelligence (DFKI) in Bremen and as a Marie Curie Fellow at Heriot-Watt University's Ocean Systems Lab. His academic credentials include a PhD in Electrical Engineering from Heriot-Watt University (2019), a Master of Science in Autonomous Systems from Hochschule Bonn-Rhein-Sieg (2014), and an Engineering Degree from Universidad Tecnologica Metropolitana (2009), preceded by four years of professional industry experience. Valdenegro-Toro's research integrates Machine Learning and Robotics to solve real-world perception challenges, particularly in underwater environments where his PhD work developed neural network systems for detecting submerged marine debris. His commitment to environmental protection drives his focus on ocean conservation through robotic technology, while his technical contributions emphasize Uncertainty Quantification in neural networks and robust Robot Vision solutions. His scientific recognition is highlighted by the prestigious Marie Curie Fellowship , awarded through the European Commission-funded Robocademy Initial Training Network (FP7-PEOPLE-2013-ITN). As an educator, he supervises Master's students in Hochschule Bonn-Rhein-Sieg's Autonomous Systems program and has taught at the University of Bremen. He actively contributes to the academic community through invited tutorials on computer vision paper writing at ICCV/CVPR and mentoring workshops for LatinX researchers at AAAI/AISTATS, reflecting his dedication to inclusive AI education. His collaborative research spans institutions including DFKI's Robotics Innovation Center and Heriot-Watt University's Ocean Systems Lab, focusing on practical deployment of perception systems for autonomous underwater vehicles in marine conservation applications.

• Neuropsychology
• Brain Research
• Arithmetic Learning
• +۳ مورد دیگر

Jochen Mosbacher is a Research Fellow at the Department of Psychology, Karl Franzens University Graz. His work spans neuroscience, cognitive psychology, and human-technology interaction, with affiliations to the Faculty of Natural Sciences and Research Careers Campus consortia. Focus: Neuropsychology & Non-invasive Brain Stimulation Specialization: Arithmetic Learning & Cognitive Processes Active in interdisciplinary networks like "Gehirn und Verhalten" His recent research explores the intersection of AI, wearable biosensors, and cognitive resilience. Publications highlight applications of transcranial stimulation in arithmetic learning and stress monitoring in industrial settings. Current projects include gamified mental health interventions and explainable AI frameworks. Scientific recognition includes: Giselher Guttmann Preis (2022) Young Investigators Preis der Österreichischen Alzheimergesellschaft (2016, 2014) INGE St. Forschungspreis (2013) Mosbacher contributes to academic governance as ÖGP Jung-WissenschaftlerInnensprecher since 2017, advocating for early-career researchers in Austria.

Mark Schwedaمشاهده پروفایل

استاد

• Bioethics
• Aging Studies
• Dementia Research
• +۳ مورد دیگر

Prof. Dr. Mark Schweda heads the Department of Medical Ethics at the Department of Health Services Research, Faculty of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg. Previously, he held research positions at the University Medical Center Göttingen (2006–2018), Lichtenberg-Kolleg Göttingen (2014–2015), and institutions including UC Berkeley and Lancaster University. His academic credentials include a habilitation in Ethics and History of Medicine (Göttingen, 2015) and a PhD from Humboldt University Berlin (2012). Schweda's research critically examines ethical dimensions of aging, dementia, and healthcare technologies. Key themes include: Temporality in medical contexts (e.g., DFG-FOR 5022 project) Ethical implications of AI and sensors in neuropsychiatry and eldercare (TESIComP, EIDEC) Socio-cultural interpretations of dementia and care practices (MoDeCare) Intersectional perspectives on diversity in medicine (SoDiMe) His recent publications explore racism in medical education, technology-assisted eldercare, intergenerational solidarity during COVID-19, and ethical frameworks for aging. Articles demonstrate a consistent focus on combining empirical social research with philosophical analysis. Awards: Junior Research Fellowship, Lichtenberg-Kolleg Göttingen (2014–2015) Schweda leads collaborative grants including: DFG-FOR 5022: Medicine and the temporal structure of good life TESIComP: AI ethics in neuropsychiatry VAPiAR: Innovative outpatient care concepts MoDeCare: Moral conflicts in dementia home care He directs the Medical Ethics research team at Oldenburg, fostering cross-disciplinary work on care ethics and health policy.

• Soft Robotics
• Biomimetic Materials
• Stretchable Electronics
• +۳ مورد دیگر

Ingrid Graz serves as Associate Professor at Johannes Kepler University Linz, holding dual appointments in the Department of Applied Experimental Biophysics and Department of STEM Education within the Faculty of Engineering & Natural Sciences. Her research bridges biomimetic materials science and biomedical engineering, focusing on silicone-based elastomers for soft robotics and medical applications. Professor Graz's work centers on decoding nature-inspired material behaviors—particularly stiffness gradients, thermal responsiveness, and energy dissipation in silicone systems. She develops interface-free composites and active foams that enable breakthroughs in stretchable electronics and medical devices, merging experimental physics with translational engineering to solve real-world challenges in wearable robotics and tissue interfaces. Her 2021-2025 publications reveal a strategic pivot toward clinical applications, evolving from fundamental material characterization (e.g., ball-drop testing of dissipative properties) to medical device prototyping (e.g., silicon foam mats). This trajectory shows increasing emphasis on temperature-triggered actuation and solvent-free elastomer platforms, with strong representation in ACS journals and robotics publications. Professor Graz received the Kepler Award for Knowledge Transfer in 2025, recognizing exceptional public engagement. Her science communication includes: Public lectures on soap bubbles and physics ('Seifenblasen und ihre Physik') Nature-inspired robotics demonstrations ('Weiche Roboter – Inspiriert von der Natur') Keynotes on imperfection in electronic materials ('SK(IN)SPIRED ELECTRONICS') She currently leads four major funded projects: EU-funded SOFT actuators initiative (2022-2026) for wearable robotics Christian Doppler Laboratory (2020-2027) on vibration isolation Biomimicry Center for Biomedical Engineering (2024-2027) PsyPol project (2025-2027) on climate communication These provide robust infrastructure for student training and industry collaboration. Professor Graz directs the Christian Doppler Laboratory for Soft Structures, which serves as her primary research nexus. The lab cultivates an interdisciplinary environment where materials scientists, physicists, and engineers collaborate on medical-grade soft robotics. Its industry partnerships accelerate technology transfer, while public outreach components fulfill her STEM Education mandate through hands-on demonstrations and educational scenario development.

• Human-Computer Interaction
• User Experience
• Mobile Devices
• +۴ مورد دیگر

Peter Fröhlich serves as a Research Associate at the Institute for Marketing within the Faculty of Business at the University of Applied Sciences Wiener Neustadt (FH Wiener Neustadt). Based at the Wieselburg Campus, he maintains an active research profile with continuous scholarly output since 2005. His academic credentials include Mag. Dr. (Master's and Doctoral degrees in the Austrian system) and an MBA. Dr. Fröhlich's research focuses on human-computer interaction, with particular expertise in user experience design, mobile interfaces, and automotive human-machine interaction. His scholarly fingerprint reveals strong specialization in User Interface (100%), Interaction Technique (76%), Mobile Device (76%), and User Experience (69%) research domains. Recent work has examined touchscreen interfaces in extreme environments, takeover requests in automated driving, and design frameworks for automated material handling vehicles. His publication record shows consistent scholarly productivity with 119 documented publications between 2005 and 2025. The output has accelerated in recent years, with 10 publications in 2020, 10 in 2021, 7 in 2022, and 12 in 2023, demonstrating growing research activity. His work appears in reputable venues including Frontiers in Robotics and AI, CEAS Space Journal, and proceedings of the Automotive User Interfaces conference. Dr. Fröhlich maintains active research collaborations across multiple institutions, with co-authorship patterns indicating interdisciplinary work bridging computer science, human factors engineering, and business perspectives. His methodological approach emphasizes empirical user studies and experimental design to evaluate interaction techniques in real-world contexts.

David Feilacherمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Robotics
• Human-Computer Interaction
• +۳ مورد دیگر

Dipl.-Ing. David Feilacher, BSc serves as a Junior Researcher at the University of Applied Sciences St. Pölten within the Department of Media and Digital Technologies and the Institute of Creative\Media/Technologies. He is an active member of the Digital Technologies Research Group, focusing on applied artificial intelligence solutions for real-world challenges in healthcare and supply chain systems. His research integrates Artificial Intelligence, Robotics, and Human-Computer Interaction to develop practical technologies. Key areas include AI-driven fall detection for elderly care using domestic robots, voice assistant systems for emergency scenarios, and digital traceability frameworks for food supply chains. His work emphasizes robust system design and seamless transition from laboratory prototypes to everyday environments, particularly addressing user engagement and reliability in critical situations. Recent publications reveal a strong trend toward socially impactful AI applications, with projects like DPP4Food establishing digital product passports for food safety and Smart Companion 2 transforming vacuum cleaning robots into health monitoring platforms. This research demonstrates consistent focus on translating theoretical AI advances into tangible solutions for healthcare accessibility and sustainable supply chain management. As part of the Digital Technologies Research Group, Feilacher collaborates on interdisciplinary projects including DPP4Food (Digital Product Pass for Food) and Smart Companion 2, which bridge technology development with societal needs in health monitoring and food traceability systems.

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

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

• Knowledge Management
• Reciprocal Learning in Human-Robot Interaction
• Maintenance Insurance
• +۳ مورد دیگر

Steffen Nixdorf is a Consultant Lecturer at the Vienna University of Technology , affiliated with the Faculty of Mechanical Engineering and Operations Science and the Department of Production and Maintenance Management . His work bridges academic research and industrial applications. Ph.D. in Industrial Engineering (Mechanical Engineering specialization) Dipl.-Ing. and B.Sc. in Industrial Engineering (Mechanical Engineering) Research Interests : Knowledge Management in Production Systems Reciprocal Learning in Human-Robot Interaction Predictive Data Analytics for Maintenance Digital Twins in Cyber-Physical Systems Work-Based Learning Frameworks Recent Research Trends : Focus on adaptive learning systems for robotics training, reciprocal learning mechanisms in Industry 5.0 environments, and predictive analytics for maintenance optimization. Publications emphasize collaboration between humans and machines in smart manufacturing contexts. Scientific Recognition : Best Paper Award (2020) at IFAC Conference on Advanced Maintenance Engineering Teaching Activities : Leads courses on Production Information Management Systems at TU Wien since Wintersemester 2022.