Stephan Dreiseitl is a Professor at the University of Applied Sciences Campus Hagenberg, Department of Software Engineering. His research focuses on machine learning, medical informatics, and data analysis. He has contributed to advancements in feature selection, neural networks, and decision support systems. Research Interests: His work spans machine learning algorithms (e.g., neural networks, SVMs), medical applications like teledermatology, and computational methods for feature engineering. He emphasizes practical applications in healthcare and software engineering. Notable Activities: He led the PhD Programm - PhD Programme from 2011–2020 and delivered talks on topics such as Support Vector Machines and Artificial Neural Networks. Publications: His recent work includes studies on technostress measurement via HRV analysis, efficient multiclass AUC computations, and parallel minibatch training in machine learning. He also authored a textbook on Mathematics for Software Engineering. Labs/Teams: Active in the Research Center Hagenberg, contributing to interdisciplinary projects at the intersection of computer science and medical informatics.
Daniela Kaufmann is a PostDoc Researcher at the Department of Formal Methods in Systems Engineering , part of the School of Informatics at Vienna University of Technology. Her work focuses on combining SAT solving and computer algebra for formal verification of arithmetic circuits. Research Interests: Daniela specializes in Formal verification of arithmetic circuits Algebraic reasoning SAT/SMT solving Grammar inference Automated reasoning Finite field arithmetic verification Recent Article Trends: Her publications emphasize hybrid approaches merging SAT techniques with computer algebra for circuit verification, finite field arithmetic reasoning in SMT solvers, and fuzzing-based grammar inference. She has contributed to tools like AMulet2 and PolySAT, addressing scalability challenges in multiplier verification. Projects: Daniela is a key researcher in the CalgSAT (2024-2027) ARTIST (2021-2026) SFB SPyCoDe (2023-2026) projects funded by the Austrian Science Fund (FWF).
Enrique Herrera-Viedma is a Full Professor in Computer Science and AI at the University of Granada (UGR) since 2007. He currently serves as Vice-President for Research and Knowledge Transfer at UGR (2015-present) and held leadership roles in IEEE System, Man & Cybernetics Society, including Vice-President for Publications (2019-2020) and Vice-President for Cybernetics (2021-2023). His research spans computational intelligence, fuzzy decision-making systems, and consensus models. IEEE Fellow (2021) IFSA Fellow (2021) Highly Cited Researcher (Computer Science, Engineering) by Clarivate Analytics (2014-2020) Andrew P. Sage Best Transactions Paper Award (2016) 2011 IEEE Transactions on Fuzzy Systems Outstanding Paper Award His publications focus on consensus reaching processes , computing with words , linguistic modeling , and social network analysis . His work integrates fuzzy systems , optimization models , and trust mechanisms in group decision-making contexts. Articles highlight distributed linguistic trust , non-cooperative behavior management , and feedback mechanisms to enhance decision-making efficiency. He contributes to prestigious institutions like the Royal Institute Elcano (Spain) and Ulster University's Artificial Intelligence Research Center. His h-index (85 in WoS, 101 in Google Scholar) reflects his significant impact, with over 560 peer-reviewed papers and 50 highly cited works.
Luigi Ambrosio is a distinguished Professor of Mathematics at Scuola Normale Superiore in Pisa, Italy, where he has been employed since 1997. Previously, he served as Full Professor at the University of Pavia (1995-1997), University of Benevento (1994-1995), and Associate Professor at the University of Pisa (1992-1994). His research focuses on: Calculus of variations Partial differential equations Geometric measure theory Ambrosio's scholarly work demonstrates exceptional depth in mathematical analysis, particularly in the connections between measure theory, calculus of variations, and partial differential equations. His research has established foundational results in areas such as functions of bounded variation, Γ-convergence, and optimal mass transportation, influencing multiple generations of mathematicians. His publication record spans over three decades, with significant contributions including two influential books and numerous high-impact journal articles that have shaped contemporary mathematical research in his fields of expertise. Among his notable honors: 1991 Bortolozzi Prize of Unione Matematica Italiana 1996 National Prize for Mathematics and Mechanics 1999 Caccioppoli Prize 2003 Fermat Prize of the University of Toulouse 2019 Balzan Prize in Mathematics (Theory of Partial Differential Equations) Ambrosio has served in editorial roles for prestigious journals including Journal of the European Mathematical Society, Archive for Rational Mechanics and Analysis, and Geometric and Functional Analysis. He has been an invited speaker at major international mathematics conferences, including the International Congress of Mathematicians. His teaching encompasses advanced topics such as Γ-convergence, Measure Theory, Non Linear PDE's, and Optimal Mass Transportation.
Professor Yuan Xiao-Cong is a Chair Professor and Director of the Nanophotonics Research Centre at Shenzhen University, China, leading an internationally recognized research group in nanophotonics. He holds adjunct roles at Zhejiang Lab and has held distinguished positions at Nankai University and Nanyang Technological University. His work spans optical singularities, plasmonics, and high-capacity optical communication systems. \n\n Research interests include orbital angular momentum (OAM) multiplexing, photonic skyrmions, and advanced optical communication technologies. Notable achievements include pioneering OAM-based free-space communication systems with Huawei, achieving 160 Tbit/s speeds, and developing plasmonic optical tweezers for nanoscale metrology. \n\n He has published over 500 papers in top journals like Nature Physics , Science Advances , and Physical Review Letters , and has received honors such as Fellowships from the Optical Society of America and Chinese Optical Society. His contributions include the design of metasurface-based multiplexers and spin-momentum frameworks for nanoscale dynamics. \n\n His lab, the Nanophotonics Research Centre, is central to Shenzhen’s research ecosystem, focusing on topological optics, chiral matter interactions, and integrated photonics. Current efforts explore applications in high-performance computing and subwavelength imaging.
Sonja Hirschl-Neuhauser is a Lecturer in the Bio- and Food Technology program at the Management Center Innsbruck (FH). She holds a Dr., Dipl. Ing. in Food and Biotechnology from the University of Natural Resources and Life Sciences (Vienna) and an Ing. in Biochemistry, Biotechnology, and Genetic Engineering from the HBLVA Vienna. Her research focuses on molecular biology, virology, and bioprocess engineering. She has contributed to studies on allergen expression in Chlamydomonas, melanoma-associated retroviruses, and antibody engineering using phage display. Her teaching spans laboratory exercises in biochemistry, microbiology, and bioprocess engineering. She has supervised over 20 bachelor’s and master’s theses addressing topics like CRISPR/Cas systems, microbial degradation of plastics, and algal biotechnology. Her work also includes contributions to peer-reviewed journals and edited chapters on bioreactors and protein expression systems.
Prof. Karl Hollaus is a researcher at TU Wien's Computational Mathematics in Engineering Research Group within the Faculty of Mathematics and Geoinformation . His work focuses on computational electromagnetics , multiscale finite element methods (MSFEM) , and eddy current problem simulations . He leads projects such as Effektive Materialtransformation für ferromagnetische Bleche and Magnetik für Filter , addressing challenges in laminated iron cores and magnetic materials. His research emphasizes high-performance computational techniques for engineering applications, including nonlinear systems and material modeling. Key research interests include domain decomposition methods , vector hysteresis modeling , and effective interface conditions . He has developed innovative approaches for simulating eddy current losses, magnetic flux routing in electrical machines, and ventilation panel thermal behavior using multiscale FEM. Collaborators include Markus Schöbinger and Valentin Hanser, with whom he co-authored numerous conference papers and journal articles. Education: Dipl.-Ing. (Master's) and Dr.techn. (PhD) in engineering. Awards: None explicitly listed. Recent publications (2022–2023) highlight advancements in harmonic balance methods combined with model order reduction for nonlinear systems, magnetic microwire materials for flux guidance, and effective material modeling for laminated cores. His work bridges theoretical computational mathematics with practical engineering solutions, particularly in electromechanical systems and metamaterials. Advising: Supervised PhD candidates Valentin Hanser (2021 thesis on eddy current computations) and Markus Schöbinger (multiple co-authored presentations). Active in TU Wien's Network Lab and contributes to the Scientific Computing and Modelling Research Division .
Peter Jonas is a Professor and the Magdalena Walz Professor for Life Sciences at the Institute of Science and Technology Austria (ISTA). His research focuses on synaptic physiology, cellular neuroscience, and neural circuit dynamics, particularly in the hippocampus and cortex. He leads the Jonas Group, which investigates how synaptic properties shape higher network functions through advanced techniques like patch-clamp recording, two-photon imaging, optogenetics, and electron microscopy. MD, University of Giessen, Germany (1987) His research interests include synaptic transmission, plasticity, biophysics of ion channels, neural coding, and network modeling. The lab combines experimental and computational approaches to understand how synaptic mechanisms support memory and cognition. Recent work emphasizes nanoscale synaptic architecture, presynaptic function, and multiscale brain imaging. Recent publications highlight innovations in synaptic physiology, including mechanisms of vesicle release, synaptic nanotopography, and functional connectivity in memory networks. Trends include the integration of molecular, cellular, and systems-level analyses, with a strong emphasis on quantitative and interdisciplinary neuroscience. Magdalena Walz Professor for Life Sciences Peter Seeburg Integrative Neuroscience Prize of the Society of Neuroscience (100,000 $) Member, EMBO Erwin Schrödinger Prize, Austrian Academy of Sciences (ÖAW) FWF Wittgenstein Award ERC Advanced Grant GIANTSYN Elected Member Editorial Board, Neuron Member, Academia Europaea ERC Advanced Grant NANOPHYS Adolf Fick Award, Physical-Medical Society, Würzburg, Germany Member, Academy of Sciences, Heidelberg, Germany Member of the Board of Reviewing Editors, Science Tsungming Tu Award, National Science Council Taiwan DFG Gottfried Wilhelm Leibniz Award Member, German Academy of Sciences Leopoldina Max Planck Research Award Medinfar European Prize in Physiology, President of Portugal BMBF Heinz Maier Leibnitz Award DFG Heisenberg Fellowship Peter Jonas has advised several PhD students, including Silvia Jamrichova, Peipeng Lin, Rebecca Morse Mora, and Priyansha Verma. His research has been supported by major grants, including two ERC Advanced Grants (NANOPHYS and GIANTSYN), reflecting sustained excellence and innovation in fundamental neuroscience research. The Jonas Group is an active interdisciplinary team comprising postdocs, PhD students, research technicians, and software developers, working on synaptic mechanisms, neural coding, and brain-wide imaging technologies.
Markus Steinberger is an Associate Professor at Graz University of Technology (Austria), leading the GPU Computing and Visualization Group at the Institute for Computer Graphics and Vision. He holds an MSc and PhD in Computer Science from TU Graz, with a postdoc and multiple leadership roles in academic and industry labs, including NVIDIA and the Max Planck Institute. His research focuses on GPU scheduling, parallel computing, and high-performance visualization techniques. He has led teams at TU Graz, Huawei Technologies (Cloud Rendering Lab), and the Max-Planck-Center for Visual Computing. Education 11/2020: Habilitation in Practical Computer Science at TU Graz 10/2013: PhD in Computer Science (Dynamic Resource Scheduling on Graphics Processors) 10/2010: MSc in Telematics 10/2005: BSc in Telematics Research Interests Steinberger’s work centers on optimizing GPU computing for real-time rendering and parallel processing. He explores efficient resource scheduling, dynamic graph management, and high-performance visualization techniques, with applications in cloud rendering, scientific visualization, and interactive graphics. His methods emphasize scalability and real-world applicability in both academic and industrial settings. Awards Heinz Zemanek Prize (2016) – First Austrian recipient GI Dissertation Prize (2014) – Best dissertation in German-speaking computer science Multiple Eurographics Best Paper Awards (2021, 2020, 2014) HPEC Best Student Paper (2017) ACM CHI Honorable Mention (2014) Advising & Grants Steinberger has advised numerous students and led projects funded by EU initiatives and industry partnerships. His research has been recognized through grants supporting GPU scheduling, cloud rendering, and parallel computing. Labs & Teams Leads the GPU Computing and Visualization Group at TU Graz and directed the Cloud Rendering Lab at Huawei, focusing on scalable rendering solutions for distributed systems.
Peter Satzer is a Senior Lecturer (Privatdozent) at the Institute of Bioprocess Science and Engineering, Department of Biotechnology and Food Science, University of Natural Resources and Life Sciences, Vienna (BOKU). He currently serves as Group Lead for Bioprocessing of Advanced Medicines and is the CO-Founder of p4b GmbH, a company focused on 3D printing for biotechnology. Dr. Satzer completed his PhD in Biomolecular Technology of Proteins (BioToP) from 2011 to 2015, followed by postdoctoral research in Next Biopharmaceutical Downstream Processes from 2016 to 2019. His academic journey began with a Master's program in Biotechnology from 2008 to 2011. Dr. Satzer's research focuses on bioprocess technology , with particular expertise in industrial biotechnology , medical biotechnology , fermentation , circular economy , sustainable technologies , waste prevention , and energy saving . His work bridges the gap between fundamental bioprocess engineering and practical industrial applications, with a strong emphasis on sustainability and process intensification. He is particularly known for his contributions to continuous bioprocessing, viral vector production, and innovative applications of 3D printing in biotechnology. An analysis of Dr. Satzer's recent publications reveals a strong focus on advancing biomanufacturing technologies. His work spans multiple areas including continuous downstream processing, viral vector production systems, 3D printing applications for bioprocessing equipment, and sustainable manufacturing practices. A notable trend is his increasing focus on integrating digital tools and sustainable practices into bioprocess design, with significant contributions to open-source platforms for techno-economic analysis and resource-efficient manufacturing approaches. Dr. Satzer has received the following scientific awards: aws preseed company funding price (2023) Merck Life Science Award in Bioseparations (2015) Dr. Satzer has supervised seven theses, including doctoral and master's level research, focusing on areas such as virus-like particle vaccines, continuous bioprocessing, and advanced monitoring techniques. He is currently involved in two significant research projects: "Sustainable chromatography by design and rational sustainable buffer selection" (2024-2025) and the "Christian Doppler Laboratory for Knowledge-based Production of Gene Therapy Vectors" (2023-2029), where he contributes his expertise in bioprocess engineering for advanced therapeutic manufacturing. As Group Lead for Bioprocessing of Advanced Medicines, Dr. Satzer oversees research activities focused on next-generation biopharmaceutical manufacturing, particularly for advanced therapies including viral vectors and virus-like particles. His team works at the intersection of traditional bioprocessing and emerging technologies, with a strong emphasis on sustainability and process innovation.
Dr. Maral Rahimzadeh is a researcher at the Institute of Bioprocess Science and Engineering within the Department of Biotechnology and Food Science at the University of Natural Resources and Life Sciences, Vienna (BOKU). She is actively engaged in cutting-edge research related to gene therapy vector production and characterization. Her research interests focus on the development and optimization of bioprocesses for viral vector production, particularly Adeno-Associated Viruses (AAVs) used in gene therapy applications. Her work bridges the gap between fundamental bioprocess engineering principles and practical applications in advanced therapeutic medicinal products. She specializes in separation techniques, characterization methodologies, and process optimization for viral vector manufacturing. Her publication and presentation record demonstrates a strong focus on analytical techniques for viral vector characterization, specifically asymmetric field flow fractionation and Taylor Dispersion Analysis. These methods are critical for ensuring the quality and efficacy of gene therapy products. Dr. Rahimzadeh is currently involved in the Christian Doppler Laboratory for Knowledge-based Production of Gene Therapy Vectors, a major research initiative funded by the Christian Doppler Research Association that runs from 2023-2029. This project involves collaboration between multiple institutes at BOKU including the Institute of Molecular Biotechnology, Institute of Statistics, and Institute of Animal Cell Technology and Systems Biology. She has presented her research at significant international conferences including the Advancing Manufacture of Cell and Gene Therapies conference in San Diego (2024) and the International Symposium on the Separation of Proteins, Peptides and Polynucleotides in Vienna (2023), demonstrating her active participation in the global gene therapy research community.
Regina Kratzer is an Associate Professor at the Graz University of Technology , affiliated with the Institute of Biotechnology and Bioprocess Engineering . Her academic work focuses on advancing CO₂-based biotechnology, enzyme engineering, and sustainable bioprocessing techniques. Her research emphasizes: Bioprocess optimization for Cupriavidus necator cultivation CO₂ utilization in microbial systems Enzyme engineering for industrial applications Integration of reaction engineering with protein design Development of sustainable chemical production systems Analysis of microbial growth dynamics and substrate interactions Recent publications highlight trends in microbial CO₂ fixation, bioplastic production, and enzymatic reduction mechanisms. She maintains a focus on practical implementation of green biotechnology solutions. Contact: regina.kratzer@tugraz.at Location: Room BC01124, 8010 Graz, Petersgasse 10-12/I
Arno Lechner is a Senior physician at the Institute of Clinical Microbiology and Hygiene, Salzburger Landeskliniken (SALK), Austria, specializing in clinical infectious diseases with emphasis on skin and soft tissue pathology. His work bridges clinical practice and research in university hospital settings, focusing on evidence-based management of complex infections. His research portfolio centers on: Skin and Soft Tissue Infections (cellulitis, erysipelas, tissue necrosis) Clinical Microbiology and Antimicrobial Stewardship Immunological aspects of bacterial and parasitic infections Rare infectious disease management (Mycobacterium avium, Dirofilariasis) Guideline implementation in cardiology and dermatology Analysis of his 2020-2025 publications reveals consistent focus on optimizing infection management through multidisciplinary collaboration. Key trends include combating antimicrobial resistance via improved microbiological awareness, refining treatment protocols for deep tissue infections, and addressing diagnostic complexities in immunocompromised patients. His work integrates clinical observations with laboratory investigations to enhance therapeutic decision-making. No information is available regarding scientific awards, student supervision, research grants, or dedicated laboratory teams from the provided sources.
Juan Antonio Hernández Bort serves as a Senior Research Fellow at the Department of Analytical Chemistry within the Faculty of Chemistry at the University of Vienna, where he contributes to the Biochemical Network Analysis Team's research in molecular and cellular systems. His primary research focuses on: Gene Therapy: Development of viral vector-based delivery systems for therapeutic applications Adeno-Associated Virus: Engineering and optimization of AAV vectors for gene delivery Cell Biology: Investigation of fundamental cellular mechanisms and processes Molecular Biology: Analysis of molecular interactions and genetic regulation pathways Mammalian Cells: Utilization of mammalian cell models for experimental research Within the Biochemical Network Analysis Team, Dr. Hernández Bort collaborates with researchers including Jürgen Zanghellini and Elena Afanaseva on biochemical network modeling. His senior research position indicates active leadership in ongoing projects, though specific details about academic advising and grant funding are not disclosed in available materials.
Herbert Egger is a Professor of Numerical Analysis and Scientific Computing at Johannes Kepler University (JKU) Linz and heads the Institute of Numerical Mathematics. He is also a Group Leader at RICAM (Johann Radon Institute for Computational and Applied Mathematics) and Scientific Director at the Austrian Academy of Sciences. His research focuses on advanced numerical methods for partial differential equations, including structure-preserving discretizations, inverse problems, and computational electromagnetics. Current projects include SFB F90-N (CREATOR) for electric machine co-simulation, SPP 2256 for phase-field modeling in additive manufacturing, and TRR 146 on multiscale soft matter systems. Key research areas: mixed/hybrid finite element methods, energy-based modeling, model order reduction, radiative transfer, and inverse problem stabilization. His recent work emphasizes nonlinear magnetostatics, phase separation models, and efficient solvers for time-dependent systems. Egger collaborates internationally with institutions like TU Eindhoven and TU Darmstadt.
