جست‌وجوی استاد و پژوهشگر

Christian Klampflمشاهده پروفایل

دانشیار

• Analytical Chemistry
• Environmental Chemistry
• Metabolomics
• +۳ مورد دیگر

Christian Klampfl is an Associate Professor at Johannes Kepler University Linz, serving as Department Head in the Institute of Analytical and General Chemistry. He has held this academic position since 2001 and has demonstrated significant leadership through roles including Member of the JKU Senate (2013-2016, serving as Deputy Chair). His educational background includes: Doctorate in Natural Sciences from the University of Innsbruck (1993) Mag. rer. nat from the University of Innsbruck (1990) Research work at Herberts-Lacke Wuppertal/Germany during dissertation Research stay at the University of Tasmania/Australia (1999/2000) Professor Klampfl's research spans multiple analytical chemistry domains with particular emphasis on environmental applications, natural product analysis, and advanced analytical techniques. His work bridges fundamental method development with practical applications in environmental monitoring, quality control of consumer products, and polymer science. He has established expertise in hyphenated techniques combining chromatography with mass spectrometry for complex sample analysis. His recent publications demonstrate a strong focus on applying advanced analytical methods to pressing real-world problems. Key trends include environmental pharmaceutical monitoring using water hyacinth as bioindicators, quality control of dietary supplements (particularly Ashwagandha products), and analysis of polymer recycling processes. His work frequently employs sophisticated instrumentation including HPLC-Drift-Tube-Ion-Mobility Quadrupole Time-of-Flight Mass Spectrometry and GC-MS. Professor Klampfl actively supervises numerous Bachelor's and Master's theses and teaches across the chemistry curriculum, from introductory courses to advanced analytical chemistry topics. His teaching portfolio includes Introduction to General Chemistry, Introduction to Chemical Calculations, Introduction to Analytical Chemistry, and Instrumental Analytical Chemistry. He has led or participated in several significant research projects: "Pharmaceuticals in the environment and interaction with plants" (FWF-funded, 2017-2020) "Intelligent stabilization of powder coatings" (FFG-funded, 2017-2020) "METABO-BL, Infrastructure for Metabolomics Research and Medicinal Chemistry" (EU-funded, 2017-2020)

• Preclinical Imaging
• Medical Technology
• Radiotherapy
• +۴ مورد دیگر

Petra Gröger MSc serves as a Research Associate at the University of Applied Sciences Wiener Neustadt (FHWN), working within the Faculty of Health under the Competence Center for Preclinical Imaging and Medical Technology. She is actively associated with the Master's Program in MedTech – Functional Imaging, Conventional and Ion Radiotherapy, contributing to both research and academic components of the program. Her research specializes in the integration and validation of preclinical molecular imaging modalities for radiotherapy applications. Dr. Gröger's work bridges multiple disciplines including radiation biology, medical radiation physics, and biomedicine, with particular emphasis on advancing personalized precision radiotherapy techniques. Her research portfolio demonstrates a consistent focus on improving imaging methodologies to enhance the precision and effectiveness of radiation-based cancer treatments. Analysis of Dr. Gröger's publications reveals a strong emphasis on technical validation of imaging workflows, with particular attention to quantitative accuracy in preclinical settings. Her work spans both PET and SPECT-CT imaging modalities, addressing critical challenges in absolute quantification and workflow optimization for radiotherapy applications. Development, evaluation and validation of a novel kinetic model approach using an image-derived arterial input function for absolute micro-PET quantification (2024) Design, evaluation and verification of a small animal SPECT-CT workflow for biologic adaptive radiotherapy (2021) Dr. Gröger is actively engaged in two major research initiatives: the 'Applied Molecular Imaging in Personalized Precision Radiotherapy' project (2021-2026) and the PAIR project (2022-2026). These projects collectively aim to expand the radiobiological understanding of ion beams across multiple biological scales to optimize cancer treatment protocols. Her contributions to the field focus on advancing radiotherapy techniques through improved imaging methodologies, with potential applications in enhancing cancer treatment outcomes through more precise radiation delivery and personalized treatment planning.

• Preclinical imaging
• Medical technology
• Radiotherapy
• +۷ مورد دیگر

Sabine Leitner MSc serves as a Research Associate at the University of Applied Sciences Wiener Neustadt, specifically within the Faculty of Health and the Competence Center for Preclinical Imaging and Medical Technology. She also contributes to the Master's Program in MedTech – functional imaging, conventional and ion radiotherapy. Her professional affiliations include leadership roles in rtAustria (Professional Association for Radiologic Technology Austria) where she served as Chairman from 2005-2024, and membership in the European Society for Molecular Imaging (2019-2024). Dr. Leitner's research focuses on advancing preclinical imaging technologies for medical applications, particularly in radiotherapy. Her work spans several key areas including molecular imaging in personalized precision radiotherapy, development of 3D-printed surgical guides to reduce animal experimentation, and expanding radiobiological understanding of ion beams. She employs various imaging techniques such as micro-CT, PET, and precision irradiators to improve quantitative assessment and treatment planning in preclinical research. Her recent publication record shows consistent output in medical physics and imaging journals, with a focus on technical validation of small animal imaging systems. The trend in her research demonstrates increasing sophistication in quantitative methods for image-guided radiotherapy, with publications spanning from 2016 to the present, including forthcoming work scheduled for 2025. Active participation in three major research projects (PAIR, Applied Molecular Imaging, PRECISE) Leadership in professional organizations spanning nearly two decades Technical expertise in multiple imaging modalities for preclinical research Focus on translational research from preclinical models to clinical applications Dr. Leitner supervises research activities within the Competence Center for Preclinical Imaging and Medical Technology, collaborating with multiple researchers across various projects. Her work bridges engineering, medical physics, and clinical applications, with emphasis on developing precise, reproducible methods for preclinical imaging and radiotherapy research. The Competence Center provides state-of-the-art facilities for small animal imaging and irradiation studies, supporting both academic research and potential clinical translation of new techniques.

Bernhard Aichernigمشاهده پروفایل

استاد

• Formal Methods
• Model Verification
• Automata Learning
• +۳ مورد دیگر

Bernhard Aichernig serves as a University Professor at the Institute of Formal Models and Verification at Johannes Kepler University Linz. His academic career focuses on bridging theoretical computer science with practical software verification techniques. He actively contributes to the international research community through publications, program committees, and doctoral examinations. Professor Aichernig's research primarily centers on formal methods and model verification, with significant contributions to automata learning and software testing methodologies. His work explores the intersection of theoretical computer science and practical verification techniques, particularly in state-merging approaches for passive learning systems. His research has direct applications in improving software reliability through formal testing frameworks. His recent publication trends indicate a strong focus on advancing automata learning techniques, particularly extending the AALpy framework with passive learning capabilities. This work represents the cutting edge of model inference and formal verification, addressing challenges in state-merging algorithms for complex software systems. His research bridges theoretical foundations with practical testing applications. Professor Aichernig serves as an active member of the academic community through various roles including doctoral examination committees and program committees for major conferences like the NASA Formal Methods Symposium. He has examined PhD theses on advanced reasoning techniques for quantified Boolean formulas, learning Mealy machines with local timers, and deep integration of SAT solving with model checking. He currently participates in the Cluster of Excellence 'Bilateral Artificial Intelligence' project as a Principal Investigator, working alongside prominent researchers in the AI field. This active research project, funded by the Austrian Science Fund (FWF), runs from October 2024 through September 2029 and represents a significant collaborative effort in artificial intelligence research at JKU Linz.

• Global Optimization
• Numerical Analysis
• Data Analysis
• +۳ مورد دیگر

Waltraud Huyer is a faculty member at the Department of Mathematics, Faculty of Mathematics, University of Vienna. Her office is located in Room 04.120 at Oskar-Morgenstern-Platz 1, 1090 Wien, Austria. She actively teaches courses including Numerical Mathematics and Introduction to Mathematics for both undergraduate and secondary school teacher accreditation programs. Her research spans Global and Local Optimization , Numerical Analysis , Data Analysis , Protein Folding , and Population Dynamics with structured populations. She develops advanced optimization algorithms like SNOBFIT for noisy environments and MINQ8 for quadratic programming, while applying mathematical techniques to biological problems such as protein structure prediction and age-structured population modeling. Analysis of her 14 most recent publications (1994-2018) reveals three dominant research thrusts: (1) Algorithmic development in global optimization (7 papers), including multilevel coordinate search and exact penalty functions; (2) Mathematical biology applications (5 papers), particularly in protein folding and population dynamics; (3) Computational verification methods (2 papers) for linear systems and feasibility problems. Her work consistently bridges theoretical mathematics with practical computational implementations. Her scientific contributions include widely-used algorithms implemented in MATLAB, such as the MCS global optimizer and SNOBFIT for noisy optimization, available through the University of Vienna's software repository. Huyer supervises teaching activities for foundational mathematics courses, emphasizing practical computational skills using MATLAB for numerical analysis and regression problems. Her teaching materials include detailed exercise sets with structured assessment criteria requiring both theoretical understanding and programming implementation.