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Ulrike DieboldView profile

Professor

• Surface Science
• Oxide Surfaces
• Heterogeneous Catalysis
• +2 more

Ulrike Diebold is a Professor and Deputy Head at the Institute of Applied Physics, Vienna University of Technology (TU Wien), a position she has held since 2010. Previously, she served as Professor and Yahoo! Founder Chair of Science and Engineering at Tulane University from 2001 to 2009. Her educational background includes: PhD in Engineering Physics, TU Wien, 1990 Diebold's research focuses on experimental surface science, particularly atomic-scale properties of metal oxide surfaces and defect structure/reactivity relationships. She utilizes Scanning Probe Microscopy complemented by area-averaging spectroscopies and first-principles calculations to investigate these complex materials. Her scientific contributions have earned significant recognition: Wittgenstein Prize (2013), Austria's highest research award Arthur W. Adamson Award (2013) from the American Chemical Society Blaise Pascal Medal in Materials Science (2015) ERC Advanced Researcher Grant (2012) Elected Member of the Austrian Academy of Sciences (2014), German National Academy of Sciences Leopoldina (2015), and European Academy of Sciences (2014) Fellow of the American Physical Society (2004), AAAS (2007), and AVS (2005) With over 200 peer-reviewed publications exceeding 20,000 citations and 300+ invited talks, Diebold has secured major funding including an ERC Advanced Grant. Her work demonstrates exceptional leadership in experimental surface science methodology and international collaboration. She leads a prominent research group at TU Wien specializing in surface analysis techniques and chairs the surface science division of the German Physical Society, representing over 2,500 members in her field.

Horvath PeterView profile

Professor

• Computational Biology
• Artificial Intelligence
• Microscopy
• +3 more

Peter Horvath is a distinguished academic and researcher in computational biology and artificial intelligence. He currently serves as Principal Investigator at the AI4Health Institute of Helmholtz Munich, Germany, and Director of the Institute of Biochemistry at the Biological Research Centre (BRC) in Szeged, Hungary. He holds a DSc from Hungary, a PhD in Digital Image Analysis from the University of Nice, and an MSc in Computer Science and Mathematics from the University of Szeged. His research focuses on bioimage informatics, AI-driven biological discovery, and single-cell analysis. Horvath has led major initiatives, including the Finnish Distinguished Professor Fellowship at FIMM (University of Helsinki) and founded Single-Cell Technologies Ltd. He is a prolific grant recipient, securing funds for projects like 'AI-driven machines for biological discoveries' and 'Proteogenomic map of tumor cell division'. His work bridges computational methods with biological applications, notably developing tools like nucleAIzer and Deep Visual Proteomics. Key recognitions include the Szent-Györgyi Talentum Prize (2019), Momentum Award (2018), and Finland Distinguished Professorship (2014). He actively contributes to scientific communities, organizing conferences like NEUBIAS 2018 and serving on boards for the Society of Biomolecular Imaging.

Christoph BauerView profile

Research Fellow

• Regenerative Medicine
• Orthopedics
• Biomaterials
• +4 more

Christoph Bauer is a Research Fellow at the University for Continuing Education Krems, affiliated with the Center for Regenerative Medicine. His research focuses on regenerative medicine, biomaterials, and tribocorrosion in biomedical applications. Bauer leads several projects including 'Scalable production of biphasic tissue constructs for mosaicplasty of osteochondral defects' (2025-2028) and 'Tribology Intelligence - Customized Tribology for Industrial Innovations' (2024-2029). He has extensive experience in osteochondral grafts, hyaluronic acid therapies, and biotribological testing of biomaterials. His work bridges tissue engineering, material science, and clinical applications, with key contributions to cartilage repair and metal implant performance. Bauer has authored over 30 peer-reviewed articles, including studies on chondrocyte viability, tribocorrosion analysis, and drug delivery systems. He actively presents at conferences such as the OARSI World Congress on Osteoarthritis and the International Conference on Biotribology. Current projects address scalable tissue engineering solutions and advanced tribology modeling for industrial applications. Bauer collaborates with multidisciplinary teams to develop novel biomaterials and surgical techniques for musculoskeletal regeneration.

• Materials Science
• Computational Modelling
• Magnetism
• +3 more

Dr. David Böhm is affiliated with the Center for Modelling and Simulation at the University for Continuing Education Krems. His research focuses on advanced materials science, particularly in permanent magnets and computational modelling. He has contributed to studies on Nd-Fe-B magnets, defect manipulation, and coercivity enhancement through micromagnetic simulations. His work also involves crystallographic properties and combinatorial sputter plant techniques. Key research areas include materials engineering, nanotechnology, and condensed matter physics. His recent publications address challenges in magnetic materials and their applications. Dr. Böhm's presentations at international conferences highlight his expertise in micromagnetics and material characterization. He is part of a research team exploring innovative methods for enhancing magnet performance and understanding material microstructures.

Thomas KlestilView profile

Professor

• Orthopedics
• Medical Imaging
• Artificial Intelligence in Medicine
• +5 more

Thomas Klestil is a Professor at the Department for Health Sciences, Medicine and Research within the Faculty of Health and Medicine at the University for Continuing Education Krems. His research focuses on orthopedics, medical imaging, and the application of artificial intelligence in orthopedic diagnostics and treatment. With numerous publications spanning from 2019 to 2024, he has established himself as a significant contributor to advancements in orthopedic surgery and biomechanics. Institution: University for Continuing Education Krems Faculty: Faculty of Health and Medicine Department: Department for Health Sciences, Medicine and Research Position: Professor Professor Klestil's research interests center around orthopedics, medical imaging, artificial intelligence applications in medicine, biomechanics, and regenerative medicine. His work particularly focuses on osteochondral defects, bone fractures, and innovative surgical techniques. He has made significant contributions to understanding knee alignment, spinal deformities, and the biomechanics of joint implants. His research bridges clinical orthopedics with advanced computational methods, particularly deep learning applications for radiographic analysis. His publication record demonstrates a clear trajectory toward integrating artificial intelligence with traditional orthopedic practices. Recent works show increasing sophistication in using deep learning for automated measurement of anatomical features from radiographic images, including knee alignment, spine deformities, and pelvic structures. His research also extends to biodegradable implants for pediatric fractures, obesity impacts on elderly populations, and biotribological testing of cartilage and implants. Professor Klestil has served as Principal Investigator for significant research projects including 'Bioresorbable Intramedullary Nailing of Forearm Fractures' (2021-2024), demonstrating his leadership in translational orthopedic research. His collaborative approach is evident in the diverse team compositions across his publications, working with researchers from various disciplines including computer science, biomechanics, and clinical medicine. His laboratory work appears to focus on biomechanical testing of orthopedic materials and structures, with particular emphasis on cartilage mechanics, implant interfaces, and surgical technique optimization. The integration of computational methods with traditional biomechanical testing represents a distinctive feature of his research approach.

Alexander KovacsView profile

Researcher

• Materials Science
• Magnetism
• Machine Learning Applications
• +3 more

Dr. Alexander Kovacs is a researcher at the Center for Modelling and Simulation at the University for Continuing Education Krems. His work focuses on advancing computational and experimental methods in magnetism, particularly leveraging machine learning and micromagnetic simulations. Key areas include optimizing permanent magnets, studying magnetic materials' microstructure, and developing physics-informed models for material design. Research Interests: Kovacs specializes in materials informatics, micromagnetic simulations, and machine learning applications in magnetism. His projects emphasize reducing critical elements in permanent magnets, improving coercivity through defect manipulation, and integrating sensor data for real-time magnetic field control. His interdisciplinary approach bridges computational methods with experimental validations, contributing to sustainable materials innovation. Publications and Talks: His recent studies highlight the use of deep learning for predicting hysteresis properties and optimizing magnet designs. He frequently presents at conferences like HMM, IEEE Magnetics, and JEMS, discussing topics such as magnetization reversal mechanisms and machine learning-driven optimization frameworks. His work addresses challenges in energy-efficient magnet design and advanced material discovery. Labs/Teams: As part of the Center for Modelling and Simulation, Kovacs collaborates on projects requiring high-performance computing and interdisciplinary research, contributing to the development of novel magnetic materials and computational tools.

Stefan NehrerView profile

Professor

• Regenerative Medicine
• Orthopedics
• Biomedical Engineering
• +4 more

**Dr. Stefan Nehrer** is a **Professor and Dean of the Faculty of Health and Medicine** at the University for Continuing Education Krems. His research focuses on regenerative medicine, orthopedics, and the application of artificial intelligence (AI) in medical diagnostics. Key areas of expertise include cartilage repair, osteoarthritis therapy, and tissue engineering. He leads projects such as ‘Artificial Intelligence in Orthopedic Radiography Analysis’ and ‘Minced Cartilage in Regenerative Medicine.’ **Research Projects**: Assessing biomechanical biomarkers for knee osteoarthritis (2024–2027) Nutrition and movement for osteoarthritis self-efficacy (2022–2025) AI-driven analysis of radiographic images for knee and spinal conditions **Publications**: His work spans journals like *Biomacromolecules*, *Macromolecular Bioscience*, and *Journal of the Mechanical Behavior of Biomedical Materials*, with a focus on 3D bioprinting, biomaterials, and AI applications. Recent studies explore silk fibroin hydrogels for meniscus regeneration and deep learning for Cobb angle measurements. **Awards & Recognition**: While no specific awards are listed, his contributions to regenerative medicine and AI in healthcare highlight significant scholarly impact. **Grants & Funding**: Projects funded by Austrian federal programs and industry collaborations, such as ‘Additive Manufacturing for Partial Implants’ (2022–2024). **Labs/Teams**: His work integrates interdisciplinary teams in biomedical engineering, orthopedics, and AI, with a focus on translating research into clinical practice.

Harald ÖzeltView profile

Researcher

• Magnetism
• Micromagnetics
• Machine Learning
• +4 more

Harald Özelt is a Researcher at the Center for Modelling and Simulation within the University for Continuing Education Krems. His work focuses on computational magnet design, micromagnetics, and machine learning applications in materials science. He leads projects such as 'Data Driven Magnet Design through Combinatorial Synthesis and Micromagnetic Graph Networks' (FWF-funded) and 'Design of Nanocomposite Magnets by Machine Learning' (FWF-funded). His research emphasizes the development of advanced simulation techniques and optimization strategies for magnetic materials, particularly permanent magnets and composite systems. Key Projects: Magnetic Multiscale Modelling Suite (EU-funded, PI: Thomas Schrefl) Data Driven Magnet Design (FWF-funded, PI: Özelt) Design of Nanocomposite Magnets (FWF-funded, PI: Özelt) Özelt's research interests include the simulation of magnetic materials' microstructure-property relationships, defect manipulation for enhanced coercivity, and the integration of physics-informed machine learning into computational frameworks. He has authored numerous peer-reviewed articles in journals like Journal of Magnetism and Magnetic Materials and Frontiers in Materials , focusing on topics such as micromagnetic modeling, hysteresis optimization, and magnet design. His lectures and conference presentations highlight contributions to inverse design methodologies, multiscaling strategies in magnet design, and the use of neural networks for predicting magnetic properties. He collaborates internationally on projects addressing sustainable materials and rare-earth reduction in permanent magnets.

Thomas SchreflView profile

Professor

• Magnetic Materials
• Micromagnetics
• Machine Learning in Materials Science
• +3 more

Prof. Thomas Schrefl is a leading academic at the University for Continuing Education Krems, serving as Head of the Center for Modelling and Simulation. His research focuses on magnetic materials, micromagnetics, and machine learning applications in materials science. He holds a professorial role (Univ.-Doz.) and has led numerous EU-funded projects, including initiatives on rare-earth-free permanent magnets and multiscale modeling frameworks. Key research areas include designing energy-efficient permanent magnets, developing physics-informed machine learning models for material optimization, and exploring magnonic devices. His work bridges computational modeling, experimental characterization, and AI-driven discovery to address challenges in sustainable energy technologies. Notable projects include Magnetic Multiscale Modelling Suite (EU-funded), SINGLE GRAIN REENGINEERED NDFEB PERMANENT MAGNETS , and Novel rare-earth free permanent magnets . He has published extensively in journals like Nature Electronics , Journal of Magnetism and Magnetic Materials , and Acta Materialia . His contributions emphasize interdisciplinary approaches, integrating advanced simulations with machine learning to accelerate material innovation. Current interests include inverse-design strategies for magnetic materials and waste heat energy conversion systems.

• Additive Manufacturing
• Materials Science
• Non-Destructive Testing
• +3 more

Thomas Josef Reiter is a Professor at the University of Applied Sciences Wels, specializing in Additive Manufacturing, Materials Science, and Non-Destructive Testing. His research focuses on applications of X-ray Micro-computed Tomography (CT) in evaluating materials produced via selective laser melting and topology optimization. He has contributed to studies on porosity analysis in additively manufactured components, biomechanical assessments of bone structures, and finite element simulations of composite materials. Reiter's work spans collaborations across materials engineering and biomedical applications. His recent studies include fatigue analysis of aluminum brackets and pore distribution in titanium screws using advanced imaging techniques. He organized the FH-Science Day 2007 and has published extensively in peer-reviewed conferences like the European Conference on Non-destructive Testing and AIAA Scitech. His research emphasizes bridging experimental methods (e.g., in-situ CT) with computational modeling, particularly in short fiber-reinforced materials and structural evaluation of additively manufactured parts.

Manuel FrankView profile

Lecturer

• Composite Materials
• Lightweight Construction
• Automotive Engineering
• +2 more

Manuel Frank is Lecturer and Researcher at the Research Center Wels, University of Applied Sciences Upper Austria, with expertise in composites design, automotive engineering, and materials processing. His research focuses on lightweight construction technologies, additive manufacturing of composites, and high-performance molding processes. Recent work examines hygrothermal effects on 3D-printed carbon composites and quality analysis of additively manufactured fiber-reinforced polymers. Research Projects: GreenBond2: Developing formaldehyde-free adhesives from rapeseed for particleboards Plant Protein Platform: Sustainable food system innovation Honored with Innovation Award in Technology (2013) for contributions to engineering solutions.

Jeff Th.M. De HossonView profile

Professor

• Materials Science
• Nanoscience
• Nanotechnology
• +4 more

Professor Jeff Th.M. De Hosson is a leading figure in materials science and nanotechnology at the University of Groningen. With a career spanning over four decades, he focuses on in-situ electron microscopy , nanostructured materials , and laser surface engineering . His work bridges fundamental physics with applied engineering solutions. Appointed as Professor of Applied Physics in 1977 by Queen Juliana Holds central departmental chair at University of Groningen (1985-2015) Conducted postdoctoral research at Northwestern University and UC Berkeley Research Interests : His work centers on advances in microscopy techniques , size effects in structural materials , nano-clusters , laser surface modifications , and dislocation dynamics . He pioneered metallic nanofoams and DLC coatings for industrial applications. Scientific Contributions : Ranked among the top 4 publication producers in Dutch nanotechnology (NWO 2008). His research group in laser surface engineering is recognized as one of the top three worldwide. Scientific Awards : 2012 : William Mong Distinguished Science & Engineering Award 2010 : China Distinguished Materials Scientists Forum Award 2009 : NanoSmat Prize 2005 : European Materials Gold Medal Publications : Over 1000 journal publications, 190 conference proceedings, 31 book chapters/reviews, and 19 edited books. Key journals include Progress in Materials Science , Acta Materialia , and ACS Nano .

Matteo SaverianoView profile

Assistant Professor

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +2 more

Matteo Saveriano is an Assistant Professor at the University of Trento, focusing on integrating cognitive robotics into industrial and social environments through AI solutions inspired by human behavior. His research bridges robotics, AI, and human-robot interaction to enhance productivity in smart factories and assistive technologies. Research Focus His work centers on developing robotic systems capable of intuitive learning and safe interaction. Key areas include: Robotic skill acquisition via imitation learning Safe human-robot collaboration frameworks Variable impedance control systems Cognitive architectures for industrial automation Publication Trends Recent publications demonstrate interdisciplinary focus spanning clinical applications (dysphagia diagnostics, Parkinson's therapies), surgical robotics (vocal fold reconstruction), and fundamental biomechanics (tissue elasticity modeling). This reflects a translational research approach connecting engineering innovation with medical practice. Projects & Leadership He coordinates major EU initiatives including: INVERSE (Horizon Europe): Interactive robots learning tasks through reasoning MAGICIAN : Human-robot collaboration for defect detection ARIEL : Assistive robotics for elderly care

• Brain Development
• Neuronal Migration
• Stem Cells
• +4 more

Prof. Reiner Orly is a Professor in the Department of Molecular Genetics at the Weizmann Institute of Science (Israel). His academic journey includes roles as Associate Professor (2002–2010), Senior Scientist (1993–2002), and Postdoctoral Fellow at Baylor College of Medicine (1990–1993). He holds the Berstein-Mason Professorial Chair of Neurochemistry and leads the M. Judith Ruth Institute for Preclinical Brain Research. Education: PhD, Molecular Genetics, Weizmann Institute (1985–1990) MSc, Microbiology, Hebrew University (1983–1985) BSc, Field Crops, Hebrew University (1975–1978) Dr. Reiner’s research focuses on neuronal genetics, particularly the molecular mechanisms underlying brain malformations. His lab develops human brain organoid models and an on-chip device for long-term live imaging of early brain development. Key areas include neuronal progenitors, stem cells, and complement pathway roles in neurodevelopment. His recent articles highlight advancements in organoid-based systems, mechanobiology of brain folding, and genetic insights into cortical development. Awards include the Fullbright Award (1990), Basil O’Connor Scholar Award (1994–1996), and the Aser Rothstein Career Development Chair (1994–2003). Grants and leadership include the Berstein-Mason Chair and directing the M. Judith Ruth Institute. His work bridges basic neuroscience with clinical applications in developmental disorders.

Nicola SpaldinView profile

Professor

• Strongly correlated materials
• Materials chemistry
• Electronic-structure theory
• +3 more

Nicola Spaldin is a Professor and Chair of Materials Theory in the Department of Materials at ETH Zurich, a position she has held since 2010. She previously served as Assistant, Associate, and Full Professor in the Materials Department at the University of California, Santa Barbara from 1997 to 2010. Spaldin has held numerous visiting professorships at institutions including Uppsala University, UC Berkeley, Cambridge University, and the Jawarhalal Nehru Centre for Advanced Scientific Research. Her educational background includes a Ph.D. in Chemistry from the University of California, Berkeley (1996) and a B.A. in Natural Sciences with First Class Honours from Cambridge University (1991). Spaldin's research focuses on strongly correlated materials , materials chemistry , and electronic-structure theory , with particular emphasis on multiferroic and magnetoelectric materials. She has pioneered theoretical approaches to understanding the fundamental physics of complex materials, establishing foundational principles in the field of multiferroics. Her work bridges condensed matter physics and materials science, addressing both fundamental questions and potential applications of novel material phenomena. Spaldin's extensive publication record includes approximately 200 papers with over 47,500 citations and an h-index of 85. Her research spans theoretical investigations of magnetoelectric coupling, dynamical multiferroic effects, ultrafast phenomena in materials, and the fundamental constraints on magnetic ferroelectricity. She has also authored the influential textbook "Magnetic Materials" (2nd Edition, Cambridge University Press, 2010). Member, German National Academy of Sciences (Leopoldina) (2022) Europhysics Prize of the European Physical Society (2022) Hamburg Prize for Theoretical Physics (2022) Member, Austrian Academy of Sciences (2022) IUPAP Magnetism Award and Néel Medal (2021) Member, French Academy of Sciences (2021) Swiss Science Prize Marcel Benoist (2019) Foreign Member, National Academy of Engineering (USA) (2019) Fellow of the Royal Society (UK) (2017) Spaldin has served in significant leadership roles including Founding Lead Editor of Physical Review Research, Coordinator of the ETH Materials Department BS curriculum revision project "The Materials Scientist 2030, Who is She?" and Director of the International Center for Materials Research at UC Santa Barbara (2007-2010). She has also served on numerous advisory boards including the ERC Scientific Council and various international research institutions. Her laboratory at ETH Zurich focuses on theoretical materials science, particularly computational approaches to understanding complex material properties and developing new theoretical frameworks for multiferroic phenomena.