Find Academic Supervisors

Carolin LiefkeView profile

Researcher

• Astronomy Education
• Stellar Activity
• X-ray Astronomy
• +5 more

Dr. Carolin Liefke serves as Deputy Managing Scientist at the Haus der Astronomie (Center for Astronomy Education and Outreach) in Heidelberg and Deputy Director of the International Astronomical Union Office of Astronomy for Education. With over 20 years of experience in astronomy education and outreach, she has been a research associate at Haus der Astronomie since 2010 and became Germany's National Outreach Coordinator for the IAU in 2020. Dr. Liefke's work focuses on bridging professional astronomy with educational practice through multiple initiatives including astronomy courses for pre-service physics teachers at the University of Heidelberg, the 'Telescope Driver's Licence' teacher training program, the HdA partner school network, and the IASC Pan-STARRS asteroid search program that enables students to discover asteroids using telescope time in Hawaii. She also coordinates programs for gifted students, high school research opportunities, and public events at Haus der Astronomie. Her research background in stellar activity and X-ray astronomy informs her educational approach, though her current work emphasizes translating astronomical research into accessible educational content. The 15 most recent publications in her portfolio demonstrate a clear shift from refereed astronomy research papers to educational materials, reflecting her career transition toward specializing in astronomy education. National Outreach Coordinator for Germany of the International Astronomical Union (since 2020) Executive board member of Vereinigung der Sternfreunde (German amateur astronomy association) Regular contributor to astronomy education journals and publications Author of numerous educational materials for teachers and students Active science communicator through social media and public events Dr. Liefke teaches multiple seminars annually at the University of Heidelberg for pre-service physics teachers, covering topics from basic astronomy concepts to current research headlines. Her educational philosophy emphasizes hands-on experience with real astronomical data and equipment, as evidenced by her development of the 'Telescope Driver's Licence' program that trains teachers to use school telescopes effectively. At Haus der Astronomie, she works within the MPIA-Campus infrastructure to create educational experiences that connect students and teachers with cutting-edge astronomical research while making complex concepts accessible to diverse audiences.

• Laser Technology
• Optics
• Biophotonics
• +4 more

Prof. Maria Dienerowitz is a Professor at Ernst Abbe University of Applied Sciences Jena specializing in laser technology and biophotonics. She teaches core courses including Laser Technology, Quantum Optics, and Vacuum Technology across Bachelor's and Master's programs while leading three major research initiatives: BioLOC (Carl-Zeiss-Stiftung-funded Lab-on-a-Chip system for molecular dynamics), OPTO (historical spectacle lens analysis with the German Optical Museum), and TOOLS (DFG-funded tailored optics for life sciences). Her research centers on advanced optical manipulation techniques including the ABEL trap for single-molecule studies without surface binding and holographic optical tweezers for nanoparticle control. Key focus areas encompass real-time enzyme kinetics of molecular motors like F-ATP synthase, single-molecule FRET dynamics , and nanoparticle characterization in biological contexts. This work bridges fundamental physics with biomedical applications through innovations in trapping methodology and optical instrumentation. Analysis of her 15 most recent publications reveals strong continuity in optical trapping methodologies with increasing biomedical applications since 2020. Her work demonstrates consistent contributions to single-molecule biophysics (particularly molecular motor studies), nanoparticle manipulation , and optical instrumentation development , with growing emphasis on life science interfaces evident in her Carl-Zeiss-Stiftung and DFG-funded projects. Prof. Dienerowitz currently oversees a research team comprising scientific staff members working across the BioLOC, OPTO, and TOOLS projects, including Dr. Jakub Malohlava (TOOLS), Maryam Shahrezaei (BioLoc), and Frederic Braun (TOOLS). Her laboratory infrastructure supports optical trap development, nanoparticle characterization, and molecular dynamics studies through equipment funded by the Carl-Zeiss-Stiftung and German Research Foundation.

Johannes KrebsView profile

Professor

• Topological Data Analysis
• Persistent Homology
• Spatial Statistics
• +3 more

Prof. Dr. Johannes Krebs holds the Chair of Mathematics - Statistics at the Faculty of Mathematics and Geography, Catholic University of Eichstätt-Ingolstadt since 2021. His academic service includes membership on the editorial board of Statistics , the tenure track board, examination committees for B.Sc. Mathematics and Data Science programs, and the faculty council. His research focuses on topological data analysis, persistent homology, and spatial statistics with applications in stochastic geometry. Funded by Deutsche Forschungsgemeinschaft (KR 4977/2-1 and KR 4977/1-1), his work bridges theoretical statistics with computational topology to develop novel methods for analyzing complex data structures. His methodological contributions span wavelet analysis, functional data, and bootstrap techniques for dependent data. Analysis of his recent publications reveals strong emphasis on topological inference (persistent homology, Betti numbers), spatial statistics, and wavelet methods across multiple high-impact journals including Bernoulli , Annals of Statistics , and Stochastic Processes and their Applications . His work demonstrates consistent innovation in applying topological concepts to statistical problems with theoretical guarantees. Academic service highlights include: Editorial Board Member, Statistics journal Member of Tenure Track Board Examination Committee for B.Sc. Mathematics & Data Science Faculty Council Member His research program is supported by significant DFG funding for projects on Topological Data Analysis (2021-2023) and Dynamic Objects on Random Fields (2017-2020), reflecting sustained contribution to advancing statistical methodology through topological frameworks. He maintains active collaborations with researchers at UC Davis, KU Leuven, and Heidelberg University.

Shing-Chi CheungView profile

Professor

• Software Engineering
• Program Analysis
• Software Testing
• +7 more

Shing-Chi Cheung is a Professor of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST), School of Engineering. He founded the CASTLE research group and co-founded the International Workshop on Automation of Software Testing (AST) in 2006. His leadership includes serving as General Chair of FSE 2014 and chairing multiple APSEC conferences. His research focuses on software quality enhancement through program analysis, testing, debugging, and AI techniques, targeting Android apps, open-source software, deep learning systems, smart contracts, and spreadsheets. Current projects include metamorphic testing frameworks, binary analysis tools, and vulnerability detection systems for emerging technologies. His publication portfolio demonstrates consistent contributions to software engineering since 2016, with recent work emphasizing AI-integrated testing methodologies, smart contract security, and deep learning system reliability. Key trends show increasing focus on cross-language analysis, data visualization quality, and compiler-level verification for modern software stacks. Distinguished Member of the ACM Fellow of the British Computer Society Editorial board member: Science of Computer Programming (SCP), Journal of Computer Science and Technology (JCST) Former editorial board member: IEEE Transactions on Software Engineering (2006-2009), Information and Software Technology (2012-2015) Four patents in China and the United States Cheung actively mentors through the CASTLE research group and serves on program committees for major conferences including ICSE, ESEC/FSE, and ISSTA. His work bridges academic research with practical applications through industry collaborations and tool development. He has contributed to numerous workshops and symposia as steering committee member and program chair.

Andrea ArcuriView profile

Professor

• Software Testing
• Search-Based Software Engineering
• Automated Testing
• +2 more

Andrea Arcuri is a Professor of Software Engineering at Kristiania University College in Oslo, Norway, where he leads the AISE lab. Since 2020, he also holds a part-time position as Adjunct Professor at Oslo Metropolitan University. After 5 years in industry (WesternGeco and Scienta/Telenor), he returned to academia full-time in October 2016. His research primarily focuses on automated software testing and search-based software engineering. Prof. Arcuri's research interests center around Software Testing , Search-Based Software Engineering , and Automated Testing techniques. He has made significant contributions to the field through the development of testing tools like EvoMaster for system-level test generation and EvoSuite for unit test generation. His work bridges theoretical foundations with practical applications, particularly in RESTful API testing and enterprise systems. His recent publications show a strong trend toward practical applications of search-based testing in industry settings, with particular emphasis on RESTful API testing, fuzz testing, and integration with modern development practices like DevOps. The research spans both theoretical foundations of search-based testing and practical tool development. ACM SIGSOFT Impact Paper Award 2023 for EvoSuite ICST 2022 10-Year Most Influential Paper Award ICSE 2021 10-Year Most Influential Paper Award Ranked 2nd Most Active Early Stage SE Researcher in JSS'18 Multiple Best/Distinguished Paper awards at SSBSE, ASE, and ISSTA Prof. Arcuri actively supervises PhD students and post-docs, including Iva Kertusha, Susruthan Seran, and Onur Duman. He serves in leadership roles for major conferences, including as FSE 2025 Artifact Track Chair and ICST 2022 Test Tool and Demo Track Chair. His research is supported through various academic grants and industry collaborations. He leads the AISE (Artificial Intelligence and Software Engineering) lab at Kristiania University College, where his team develops and maintains the EvoMaster system test generation tool. The lab focuses on practical applications of search-based software testing in real-world enterprise settings.

• UAV photogrammetry
• Remote sensing
• Geomorphological monitoring
• +7 more

Anette Eltner is a Junior Professor for Geosensor Systems at the Technical University of Dresden since 2021. Her work focuses on developing innovative methods for environmental monitoring using AI and remote sensing technologies. She leads research projects that aim to improve flood forecasting systems and monitor geomorphological changes through advanced imaging techniques. Her educational background includes: PhD in Geography from TU Dresden (2016), awarded by the German working group for geomorphology Diploma in Geography from TU Dresden (2010) with minors in Photogrammetry/Remote Sensing, Soil Science and Hydrology Professor Eltner's research spans multiple cutting-edge areas in geospatial technology and environmental science. She specializes in UAV photogrammetry and remote sensing, developing methods for precise geomorphological and hydrological monitoring. Her work integrates artificial intelligence with environmental sciences to create more accurate predictive models for natural processes. She focuses particularly on erosion processes in fragile landscapes and has pioneered techniques for spatio-temporal high resolution topography using laserscanning, structure-from-motion, and time-lapse imaging. Her innovative approach to image processing enables automatic feature detection and tracking in geographic applications, while her development of low-cost geosensor systems makes advanced monitoring accessible in resource-limited settings. Her publication record demonstrates consistent advancement from foundational photogrammetric techniques to sophisticated AI integration for real-time environmental assessment. The research shows increasing emphasis on practical flood warning applications and dynamic landscape monitoring, particularly for small waterways where traditional monitoring systems are lacking. Her notable scientific achievements include: PhD thesis award from the German working group for geomorphology (AK Geomorphologie) TUD Young Investigator status (recognizing excellent, independent junior research group leaders) Editorial board membership for Geoscientific Instrumentation, Methods and Data Systems and Photogrammetric Record Professor Eltner leads the "Artificial Intelligence for Flood Warning (KIWA)" project, evaluating camera-based water level monitoring systems along small tributaries of the Elbe River in Saxony. Her research group develops AI-supported methods to analyze water surface imagery and predict flood events in small waterways. She has secured funding for projects in Germany and internationally, including current work in Oman combining cameras and seismic sensors to monitor rare flood events in wadis. Her team is developing systems that allow sensors to communicate with each other for dynamic environmental monitoring. Her laboratory work focuses on developing cost-effective monitoring solutions using accessible technology like Raspberry Pi computers and standard cameras. She has demonstrated that these low-cost systems can effectively monitor significant landscape changes, making advanced environmental monitoring more widely available. Current projects involve creating 3D point cloud analysis methods that incorporate temporal components to better predict dynamic processes like soil erosion, rockfalls, and landslides.