Robust Computing Professors and Supervisors in Austria

Christoph Büschlمشاهده پروفایل

پژوهشگر

University of Natural Resources and Life Sciences ViennaAustria

Dr. Christoph Büschl MSc. is an active researcher at the Institute of Bioanalytics and Agro-Metabolomics (iBAM) within the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU), based at Konrad-Lorenz-Straße 20 in Tulln an der Donau. His work focuses on metabolomics-driven analysis of plant-pathogen interactions, particularly wheat's metabolic response to Fusarium mycotoxins including deoxynivalenol and T-2 toxin, using LC-HRMS and stable isotopic labeling techniques. Büschl contributes to method development for untargeted metabolomics and software tools like MetInclude, SimTopN, and CPExtract, and is affiliated with the Christian Doppler Laboratory for contaminant analysis. His core research interests span Metabolomics, Mycotoxin Research, Plant Biochemistry, Food Safety, Analytical Chemistry, and Stable Isotope Labeling. He investigates mycotoxin biotransformation pathways in cereals, artifact formation during sample extraction (e.g., methanol-induced artifacts), and the role of plant defense metabolites in Fusarium head blight resistance. Current work emphasizes software-assisted metabolite annotation and the evaluation of sample preparation techniques like lyophilization for metabolome stability. Analysis of his publications from 2022-2025 reveals a trend toward computational tool development for metabolomics data processing, alongside method validation studies for mycotoxin fate in food processing and plant defense mechanisms. Key fields include plant metabolomics, LC-HRMS optimization, and mycotoxin metabolism, with recurring themes of reproducibility and novel metabolite discovery in agricultural ecosystems. Scientific awards: No awards, fellowships, or medals are mentioned in the provided text. Advising and grants: Student supervision: While the institute actively mentors diploma and doctoral students, no specific advisees under Büschl are listed. Research funding: Work is conducted through the Christian Doppler Laboratory, though individual grants are not detailed. Labs and teams: Büschl operates within iBAM at BOKU's Tulln campus, collaborating on interdisciplinary projects for mycotoxin and allergen detection in food. The institute maintains metabolite databases and LC-HRMS/MS libraries for wheat metabolomics, with strong ties to the Metabolomics Society and international consortia like MycoRed. His team specializes in stable isotope-assisted workflows and quality control for untargeted metabolomics.

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Tobias Welponerمشاهده پروفایل

پژوهشگر

Paracelsus Private Medical UniversityAustria

Tobias Welponer is a researcher at the Department of Dermatology and Allergology, Paracelsus Medical University, Salzburg, Austria, where he leads the Research Program of Molecular Therapy of Genodermatoses at the Salzburger Landeskliniken (SALK). His work bridges clinical dermatology and genetic research, focusing on improving therapeutic strategies and patient outcomes for rare skin disorders through translational science and collaborative networks. His primary research interests center on Epidermolysis Bullosa (100% of his fingerprint), with significant contributions to Neurofibromatosis Type I, pruritus management, and quality-of-life assessments in genodermatoses. Recent work includes developing standardized screening protocols for pediatric neurofibromatosis in Austria and pioneering explainable AI applications for melanoma diagnosis, reflecting a multidisciplinary approach that integrates clinical practice with computational innovation to address unmet needs in rare disease care. Analysis of his 2024–2025 publications reveals a strong emphasis on harmonizing clinical trial outcomes for Epidermolysis Bullosa, evidenced by systematic reviews and consensus guidelines. His expansion into AI-driven diagnostics marks an emerging trajectory, combining dermatological expertise with machine learning to enhance diagnostic accuracy and clinician trust—highlighting a strategic shift toward technology-integrated solutions for complex skin conditions. Scientific Awards: LEO Pharma Young Researcher Award (2023) Dr. Welponer actively collaborates with the Austrian NF network and international consortia, as demonstrated by co-authorship on multi-center studies in high-impact journals. His leadership in the Molecular Therapy of Genodermatoses program drives translational research from bench to bedside, with ongoing projects focused on outcome standardization and novel therapeutic interventions for epidermolysis bullosa. While specific grant details are not provided, his prolific publication record and industry recognition (e.g., LEO Pharma award) indicate robust funding support and growing influence in dermatological research.

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Kathryn Lilleyمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Kathryn Lilley is a Professor in the Department of Biochemistry at the University of Cambridge, where she has held academic positions since 2004. She is Director of the Cambridge Centre for Proteomics and a Fellow of Jesus College, Cambridge. She also serves as a Member of the Milner Therapeutics Institute and previously led the Mass Spectrometry theme at the Rosalind Franklin Institute. Her research focuses on developing innovative technologies for spatial proteomics and transcriptomics, with particular emphasis on understanding the dynamic organization of proteins and RNA within cells. Her group creates robust open-source informatics pipelines that enable end-to-end analysis of proteomic data, making their methods widely accessible to the research community. Recent work has expanded into investigating the subcellular spatial transcriptome and its interactions with the proteome, generating significant interest in RNA biology. Lilley's publications reveal a strong focus on advancing spatial proteomics methodologies, with recent work emphasizing computational approaches, neural networks for data analysis, and novel techniques for studying RNA-protein interactions. Her research bridges biochemistry, computational biology, and cell biology, with applications in understanding cellular perturbation responses and disease mechanisms. 2020 Elected as a member of EMBO 2018 Human Proteomics Organisation, Distinguished Achievement in Proteomic Sciences Award 2017 European Proteomics Association Juan Pablo Albar Proteomics Pioneer award 2012 Fellow of the Royal Society of Biologists Lilley receives considerable funding from the Pharmaceutical Industry and collaborates widely both nationally and internationally. She heads a large research group that develops technologies for interrogating spatial distributions of the proteome and its reorganization upon cellular perturbation. Her work is highly regarded in the field, as evidenced by numerous plenary and keynote invitations at international conferences.

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Matias Valdenegro-Toroمشاهده پروفایل

استادیار

Vienna University of TechnologyAustria

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.

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Eranda Dragoti-Celaمشاهده پروفایل

دانشیار

Graz University of TechnologyAustria

Eranda Dragoti-Cela is an Associate Professor at the Department of Optimization and Discrete Mathematics, Graz University of Technology. She specializes in combinatorial optimization, focusing on polynomially solvable special cases of NP-hard problems like the Quadratic Assignment Problem (QAP), portfolio optimization, and algorithmic graph theory. Education: M.Sc. in Applied Mathematics, University of Tirana (1992) Ph.D. in Technical Sciences, Graz University of Technology (1995) Habilitation in Applied Mathematics (2001) Her research spans combinatorial optimization (QAP, assignment problems, location problems), portfolio optimization (risk-return models, ordinal information integration), and graph theory (edge intersection graphs, network flows). Recent work includes linearization of quadratic shortest path problems and data arrangement on trees. She supervises bachelor's and master's theses in discrete mathematics and teaches courses like Combinatorial Optimization 1 and Risk Theory and Management , emphasizing algorithmic rigor and practical applications in finance and engineering.

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Chen Xihuiمشاهده پروفایل

پژوهشگر

St. Pölten University of Applied SciencesAustria

Chen Xihui, Ph.D., is a Researcher at the Institute of Creative\Media/Technologies within the Department of Media and Digital Technologies at the University of Applied Sciences St. Pölten. His work focuses on media computing and digital technologies, with specialized expertise in cybersecurity frameworks. Primary research domains include: Federated learning systems and their security vulnerabilities Robustness of recommendation algorithms against adversarial attacks Privacy-preserving machine learning architectures Competitive data poisoning mitigation strategies Recent scholarly work demonstrates concentrated focus on security challenges in federated recommendation systems, particularly examining attack vectors and defensive mechanisms in distributed learning environments.

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David Feilacherمشاهده پروفایل

پژوهشگر

St. Pölten University of Applied SciencesAustria

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.

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Sakeena Muntahaمشاهده پروفایل

پژوهشگر

St. Pölten University of Applied SciencesAustria

Sakeena Muntaha serves as a Junior Researcher at the University of Applied Sciences St. Pölten, affiliated with the Institute of Creative\Media/Technologies and the Department of Media and Digital Technologies since 2017. Currently on leave, she contributes to the institution's research mission through interdisciplinary projects spanning computer vision and applied machine learning. Her academic foundation includes a Master's degree in Computer Engineering from the National University of Sciences and Technology (NUST), Pakistan (2016) and a Bachelor's degree in Computer System Engineering from the NFC Institute of Engineering and Technology (NFCIET), Pakistan (2012). These qualifications underpin her technical expertise in visual computing systems. Dr. Muntaha's research program centers on machine learning and computer vision with dual application tracks: medical diagnostics (skin lesion segmentation, dermoscopy analysis) and environmental/urban systems (building footprint extraction, flood monitoring, real estate analysis). Her methodological approach integrates deep learning architectures with classical image processing techniques like level sets and Gabor filters, demonstrating versatility across domains from cultural heritage preservation to cybersecurity. Recent work shows increasing focus on robustness evaluation and real-world deployment challenges in vision systems. Analysis of her 15 most recent publications reveals strong thematic continuity in computer vision applications, with growing sophistication in handling real-world data constraints. Early work focused on medical imaging and malware detection, while recent publications emphasize urban infrastructure analysis and environmental monitoring, reflecting strategic alignment with societal challenges. The consistent use of deep learning frameworks across diverse domains highlights her technical agility. As an active member of the Media Computing Research Group, she contributes to projects including IMREA (Intelligent Multimodal Real Estate Assessment), Scribe ID AI (cultural heritage analysis), and ImmBild (location assessment via computer vision). Her collaborative research involves partnerships with institutions across Austria and Pakistan, though specific grant details and advising activities are not documented in available sources.

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Christoph Erathمشاهده پروفایل

استاد

University of Education VorarlbergAustria

Christoph Erath is a Professor of Mathematics at the University College of Teacher Education Vorarlberg (PH Vorarlberg) in Austria, serving as Director of Secondary Education and Subject Didactics. He holds a Habilitation (Privatdozent) in Applied Mathematics from TU Wien and maintains active research and teaching responsibilities. His educational background includes: PhD in Mathematics (Dr. rer. nat., summa cum laude) from Ulm University, Germany (2010) Master's degree in Technical Mathematics (Dipl.-Ing., with honor) from TU Wien, Austria (2005) Professor Erath's research focuses on advanced numerical methods for partial differential equations , with expertise spanning Finite Element Methods, Boundary Element Methods, and Discontinuous Galerkin Methods. His theoretical work emphasizes a priori and a posteriori error analysis, robustness, and adaptive mesh refinement strategies. He has developed numerical schemes for climate modeling and created innovative teaching formats through collaboration with local companies, bridging theoretical mathematics with practical classroom applications. His publication record demonstrates consistent advancement in coupling different numerical methods with rigorous error analysis. Recent work has expanded into educational applications, examining how fundamental mathematical competencies interact with emerging technologies like artificial intelligence in school settings, reflecting his dual commitment to theoretical mathematics and pedagogical innovation. Scientific recognition includes: Award from Ulmer Universitätsgesellschaft for PhD Thesis (2012) PhD scholarship from Baden-Württemberg, Germany (2007-2010) Award from Austrian Mathematical Society for Diploma Thesis (2006) Professor Erath actively supervises graduate theses in mathematical fields and has led research teams including postdocs and PhD students. His teaching portfolio includes core courses in Applied Mathematics, Analysis, and Mathematical Methods for teacher education students. He maintains strong research connections with institutions including TU Wien, TU Darmstadt, and the University of Colorado, contributing significantly to both computational mathematics and mathematics education methodology.

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Alexander Bucheltمشاهده پروفایل

پژوهشگر

St. Pölten University of Applied SciencesAustria

Alexander Buchelt serves as a Researcher in the Department of Computer Science and Security at University of Applied Sciences St. Pölten, contributing to the Data Science and Artificial Intelligence (BA) program. His industry background includes data analytics roles at Hutchison Drei Austria (2014-2018) and MindTake Research GmbH (2019-2020), followed by academic experience as a Student Assistant at FH St. Pölten (2020-2022). His research spans artificial intelligence with emphasis on natural language processing for German content moderation, fractal-based neural network architectures, and AI policy frameworks. Current work demonstrates strong focus on real-world implementation including drone applications in forest ecology, multilingual social media analysis, and regulatory compliance for emerging AI systems. Technical approaches integrate machine learning with domain-specific challenges across environmental science, media analysis, and telecommunications. Publication trends since 2022 reveal increasing emphasis on ethical AI deployment and practical system robustness, with 2024-2025 works addressing content moderation safeguards, neural network innovation, and environmental monitoring solutions. His research consistently bridges theoretical AI development with tangible societal applications, particularly in European regulatory contexts and German-language environments. As part of the Department of Computer Science and Security, Buchelt contributes to Austria's applied research ecosystem focused on practical technology solutions. His work aligns with the university's mission in developing industry-relevant AI applications while addressing emerging challenges in security, ethics, and cross-domain implementation.

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