Find Academic Supervisors

Bahador BahramiView profile

Assistant Professor

• social neuroscience
• collective decision-making
• decision-making
• +7 more

Dr. Bahador Bahrami serves as an ERC Group Leader and junior faculty member at the Graduate School of Systemic Neurosciences (GSN), affiliated with the Chair of General and Experimental Psychology within the Faculty of Psychology and Educational Sciences at Ludwig Maximilian University of Munich. Previously associated with the Munich Center for Neurosciences (MCN), his current research integrates psychological, neurobiological, and computational approaches to investigate human interactive behavior. His primary research interests center on the cognitive and neurobiological mechanisms of social decision-making, with emphasis on collective intelligence, confidence calibration, influence dynamics, and consensus formation. Utilizing behavioral experiments, fMRI neuroimaging, and psychopharmacology, his work examines how humans share information and negotiate during joint decisions, particularly investigating biases like equality distortion and vulnerability to disinformation in group contexts. The lab actively explores neural substrates of social influence and human-AI collaborative decision-making. Analysis of his 2015-2021 publications reveals a consistent trajectory examining social influence mechanisms across behavioral, neural, and computational domains. Key themes include the neural basis of strategic advice-giving, cultural universality of decision biases, exploitation vulnerabilities in human-AI systems, and disinformation's impact on social influence competition. His work demonstrates interdisciplinary integration of psychology, neuroscience, and game theory to model collective cognition. Scientific recognition includes: ERC Group Leader award supporting his independent research program Dr. Bahrami supervises graduate researchers including Jamal Esmaily, with his ERC-funded laboratory enabling comprehensive investigation of interactive decision-making. His research program combines theoretical modeling with multimodal empirical approaches, securing significant European funding for exploring the biological foundations of social cognition. Current projects examine neural correlates of influence reciprocity and algorithmic exploitation in human-machine teams. He leads an active research group at LMU Munich investigating crowd cognition dynamics, with laboratory facilities supporting behavioral testing, fMRI studies, and computational modeling of social interactions. The team maintains international collaborations across neuroscience and decision science domains, focusing on translating fundamental research into understanding real-world collective behavior in digital and social environments.

Markus AppelView profile

Professor

• Communication Psychology
• Narrative Transportation
• Media Psychology
• +7 more

Prof. Dr. Markus Appel is a Professor and Chair holder at the Human-Computer-Media Institute at the University of Würzburg, specializing in Communication Psychology and New Media. His office is located in Room 02.004 at Campus Hubland Nord, Oswald-Külpe-Weg 82, Würzburg, Germany. Appel's research focuses on communication psychology, narrative transportation theory, social media effects, digital communication, and the psychological aspects of human-computer interaction. His work explores how media narratives influence self-concept, how digital environments shape autobiographical memory, and the psychological responses to emerging technologies like artificial intelligence. He has made significant contributions to understanding stereotype threat, media effects on cognitive processes, and the psychological mechanisms underlying narrative persuasion. His recent publications reveal a strong trend toward examining the psychological implications of artificial intelligence, particularly how people perceive and interact with AI systems. His work spans multiple disciplines including cognitive psychology, social psychology, media psychology, and human-computer interaction. Appel's research often employs experimental methodologies to investigate how digital media shapes human cognition, emotion, and behavior in the 21st century. Appel leads a research team that includes several doctoral researchers and postdoctoral fellows, including Dr. Fabian Hutmacher, Dr. Christoph Mengelkamp, and Dr. Tanja Messingschlager, among others. His work has been published in top-tier journals across multiple disciplines, demonstrating the interdisciplinary nature of his research program.

Jürgen CitoView profile

Associate Professor

• Software Engineering
• Explainable AI
• Performance Engineering
• +3 more

Jürgen Cito is an Associate Professor with tenure at Vienna University of Technology (TU Wien), specializing in software engineering, explainable AI, and performance engineering. He leads research at the IPA Lab (as indicated by his personal website) and maintains a visiting researcher position at Google. His academic journey began with joining TU Wien as an Assistant Professor in Spring 2020, with promotion to Associate Professor announced in April 2024. His research interests span multiple critical areas of modern software development, with particular focus on developer experience, program comprehension, and the intersection of AI with software engineering practices. His work bridges theoretical foundations with practical industrial applications, as evidenced by collaborations with major technology companies. Analysis of his recent publications reveals a strong emphasis on practical tools and methodologies that enhance software quality, performance, and security. His research trajectory shows increasing focus on explainable AI techniques applied to software engineering problems, performance prediction from source code, and automated security testing approaches that leverage large language models. best teaching award for distance learning for Web Engineering (2020) Cito actively contributes to the software engineering community through numerous conference committee roles, including program committee positions at ASE, ICSE, ESEC/FSE, and other major venues. His lab appears to focus on developer tools, program analysis, and AI-assisted software engineering, with connections to both academic and industrial research environments.

• Information visualization
• Visual analytics
• Eye tracking
• +10 more

Tanja Blascheck is a PostDoc Researcher and Margarete von Wrangell Fellow at the Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart. Her work focuses on visual analytics , eye tracking , and microvisualizations for smartwatches and other wearable devices.

Stefan SiebertView profile

Professor

• Crop Production
• Sustainable Resource Use
• Climate Change Effects on Agriculture
• +5 more

Professor Stefan Siebert is Head of the Department of Crop Sciences at the Agricultural Faculty of the University of Göttingen, a position he has held since October 2017. His academic career spans multiple prestigious institutions including the University of Bonn, University of Frankfurt, and University of Kassel, where he completed his doctoral studies. University of Göttingen (2017-present): Professor and Head of Crop Science/Agronomy University of Bonn (2016-2017): Temporary Head of Chair Crop Science University of Bonn (2009-2015): Habilitation in Crop Science and Resource Conservation University of Frankfurt (2004-2009): Postdoctoral Scientist University of Kassel (2002-2005): Ph.D. Student and Scientist Professor Siebert's research focuses on sustainable resource use in crop production, climate change impacts on plant growth, plant growth modeling, and drought risk assessment. His work integrates large-scale data analysis with modeling approaches to understand the complex interactions between resource use, crop management, and productivity. He has developed comprehensive datasets on water, soil, and nutrient use in agriculture and pioneered methods for analyzing irrigation systems globally. His recent publication trends reveal a strong emphasis on irrigation systems, climate change impacts on agriculture, and advanced crop modeling techniques. The analysis of his 15 most recent articles shows consistent focus on water resource management, spatial analysis of agricultural systems, and the effects of climate variability on crop production. His work frequently combines remote sensing data with ground-based measurements to create high-resolution datasets for agricultural decision-making. Professor Siebert leads several significant research projects including ZERN (Future of Nutrition in Lower Saxony, 2024-2029), Collaborative Research Center 1502 on Regional Climate Change (2022-2025), and OUTLAST (Development of a global drought hazard forecasting system, 2022-2025). He has been continuously developing and maintaining a global dataset on irrigated areas since 1997, establishing himself as a leading authority in agricultural water management. His teaching portfolio is extensive, covering scientific writing, field production exercises, general crop production, methodical work, plant biology, crop production and breeding, sustainability of production systems, and applications of data analysis to agronomy. Professor Siebert's work bridges theoretical research with practical applications in sustainable agriculture, making significant contributions to our understanding of how to maintain food security in the face of climate change.

• Solar Energy Conversion
• Photovoltaics
• Perovskite Solar Cells
• +5 more

Prof. Dr. Jan Christoph Goldschmidt is a W3 Professor of Experimental Physics specializing in Physics of Solar Energy Conversion at Philipps University of Marburg, where he leads the Solar Energy Conversion Group. He has held this position since November 2021, following leadership roles at the Fraunhofer Institute for Solar Energy Systems ISE in Freiburg, Germany from 2010-2021. His research group focuses on fundamental physical processes involved in converting solar energy into electrical energy using solar cells, with particular emphasis on developing new solar cell structures and improving existing designs. Dr. Goldschmidt earned his PhD (Dr. rer. nat.) in Physics with Summa cum laude distinction from the University of Konstanz and Fraunhofer Institute for Solar Energy Systems (2005-2009), and completed his Dipl.-Phys. at Albert-Ludwigs Universität Freiburg and University of New South Wales (1999-2005). His educational background spans both German and Australian institutions, providing him with an international perspective on renewable energy research. His research primarily focuses on perovskite-based photovoltaics, with three main pillars: (i) highly efficient perovskite-based tandem solar cells that promise low costs and resource consumption; (ii) graphite-based perovskite solar cells that demonstrate exceptional stability with operating times of 9,000-10,000 hours; and (iii) comprehensive analyses of potentials, cost structures, and sustainability aspects of photovoltaics. His work integrates techno-economic-social aspects including ecological life cycle analyses, resource availability studies, and energy policy considerations, ensuring sustainability is incorporated from the design phase of new solar cell technologies. Among his notable scientific recognitions are the Dahrendorf-Fellowship for research at the Mercator Research Institute on Global Commons and Climate Change, a PostDoc research grant from the German Academic Exchange Service (DAAD), and multiple prestigious PhD scholarships. His research has attracted significant funding including BMWi collaborative projects, Fraunhofer Leitprojekte, and DFG Priority Programs with total project volumes exceeding millions of euros. Professor Goldschmidt has supervised 12 PhD students since 2010 and 25 Master's and Bachelor's students since 2005, with current doctoral candidates including Lea Obermüller (working on planet-centric design principles for terawatt-scale perovskite solar cells) and Christopher Janas (focusing on stability of perovskite tandem solar cells). His research group operates advanced facilities including the recently commissioned PeroLab and vacuum deposition equipment for sputtering interlayers in tandem solar cells. The Solar Energy Conversion Group maintains strong industry connections and collaborates on projects addressing real-world challenges in photovoltaics deployment, including integration of fluctuating generators into power grids and developing strategies for cost-effective climate protection through solar energy expansion. The group actively engages in sustainability considerations throughout the solar cell development process, recognizing that photovoltaics represents the most important energy conversion technology for climate protection while requiring careful attention to ecological and social impacts.

Daniel KasperView profile

Researcher

• Evaluation of Education Systems
• Primary School Research
• Educational Disparities
• +4 more

Daniel Kasper is a researcher at the University of Hamburg's Faculty of Education, specializing in Educational Science with a focus on International Educational Monitoring and Reporting. He currently serves as the National Project Manager for TIMSS 2027, continuing his leadership role from previous TIMSS cycles (2023, 2019). His work centers on large-scale educational assessments, statistical methodology, and primary education research. Dr. Kasper completed his Habilitation in Educational Science with special consideration of empirical educational research at TU Dortmund (2012-2020), followed by his PhD in Educational Science at the same institution (2010-2012). He earned his Diploma in Educational Science from the University of Münster (2001-2007). His research interests span evaluation of education systems, primary school research, educational disparities, and advanced statistical methods in education. He has developed significant expertise in TIMSS methodology, multilevel modeling, and analysis of large-scale assessment data, with numerous publications addressing methodological challenges in international comparative studies. Analysis of his 15 most recent publications reveals a strong focus on TIMSS methodology and results, particularly regarding mathematics and science competencies in primary education. His work demonstrates expertise in statistical methodology for educational assessment, with several publications developing and refining analytical techniques for large-scale data. A recurring theme is examining educational disparities related to student composition, socioeconomic factors, and gender differences. Dr. Kasper has served as National Project Manager for multiple TIMSS cycles (2019, 2023, 2027) and has been involved in PIRLS studies, demonstrating sustained leadership in major international educational assessments. His work bridges methodological innovation with practical application in educational monitoring. He teaches courses across all academic levels, including 'Introduction to Empirical Research Methods' for Bachelor students, 'Methods of Empirical Educational Research' for Master students, and advanced workshops on longitudinal scaling and the Rasch model for doctoral candidates. His teaching reflects his dual expertise in educational research methodology and statistical analysis.

Matteo VialeView profile

Professor

• Mathematical Logic
• Set Theory
• Forcing Axioms
• +3 more

Matteo Viale is a Full Professor in the Department of Mathematics at the University of Torino. He specializes in mathematical logic with a focus on set theory, forcing axioms, and generic absoluteness. He is an active member of the Turin Logic Group and maintains international collaborations in foundational mathematics. His research explores advanced topics in set theory including forcing techniques, large cardinals, cardinal arithmetic, and their applications to mathematical foundations. Recent work investigates connections between forcing axioms and category theory, as well as absoluteness principles across different mathematical structures. Viale has advised numerous graduate students on theses covering boolean-valued models, forcing techniques, set-theoretic topology, and applications of logic to functional analysis. His pedagogical contributions include comprehensive lecture notes on forcing iterations, model companionship, and semiproper forcing. Notable recognitions include the Kurt Gödel Research Prize Fellowship (2010), Premio Fubini (2010), and Sacks Prize (2006) for his doctoral thesis on forcing axioms and cardinal arithmetic.

Ulrich SchroedersView profile

Professor

• Psychological Diagnostics
• Technology-based Competency Diagnostics
• Measurement of Cognitive Abilities
• +5 more

Ulrich Schroeders is a Professor of Psychological Diagnostics at the University of Kassel, where he has been employed since October 2017. His work focuses on developing and validating psychological assessment tools, with particular expertise in cognitive diagnostics and educational measurement. He teaches various programs for approximately 500 students annually and serves as a supervisor for teacher training students preparing for their oral state examinations in Pedagogy/Psychology. Dr. Schroeders earned his PhD from Humboldt University of Berlin in 2010 with a dissertation titled "Measurement of Cognitive Abilities Using Modern Technologies: Artifacts, Equivalence, and New Constructs." Prior to that, he completed his Diploma in Psychology at Julius-Maximilians-University Würzburg in 2004 with a thesis on diagnosing dyscalculia in first-grade students. His research spans several key areas in psychological assessment. He specializes in technology-based competency diagnostics, developing innovative methods for measuring cognitive abilities and school competencies. A significant portion of his work involves applying Machine Learning and metaheuristics to psychometric problems, particularly in structural equation modeling. His methodological expertise includes advancing techniques in Local Structural Equation Modeling (LSEM) and Meta-Analytic Structural Equation Modeling (MASEM), with applications across educational and clinical psychology contexts. Analysis of Dr. Schroeders' recent publications reveals a strong focus on computational approaches to psychological assessment. His work frequently employs optimization algorithms like Ant Colony Optimization and Bee Swarm Optimization to address challenges in test construction and validation. There's a clear trajectory toward game-based and technology-enhanced assessment methods, as seen in studies using Mastermind and Wordle as assessment tools. His research also demonstrates growing interest in applying machine learning to predict behavioral outcomes, including juvenile delinquency, suicide risk, and psychotherapy outcomes. Dr. Schroeders has secured significant research funding, including projects funded by the German Research Foundation (DFG) and the Hector Foundation. His current projects include "Facing the Replication Crisis in Machine Learning Modeling" (2025-2027) and "PINGUIN: Potenzialidentifikation IN der GrUndschule" (2024-2027), which focuses on identifying elementary students' initial competencies. He leads the development of the BEFKI assessment system (Berliner Test zur Erfassung fluider und kristalliner Intelligenz), which includes versions for different age groups (5-7, 8-10, and 11+). His methodological toolbox includes specialized approaches for test construction and validation, particularly focusing on optimization algorithms applied to psychological measurement problems.

Anke HollerView profile

Professor

• Descriptive Grammar of Contemporary German
• Formal Grammar and Language Theory
• Grammar-Pragmatics Interface
• +4 more

Prof. Dr. Anke Holler is a Professor of German Linguistics at the University of Göttingen , specializing in formal grammar, discourse analysis, and computational linguistics. Her career spans roles in academic administration, including Vice President for Appointments since 2021, and leadership in DFG and Leibniz Association committees. Education : University of Tübingen, University of Leipzig, and University of Massachusetts, Amherst Current Projects : GRK 2636 'Form-Meaning Mismatches', DFG 'Structuring Literature' (SPP 2207), VW Foundation 'Uncertain Attribution' Research Interests focus on the intersection of grammar theory, experimental linguistics, and computational modeling. She explores discourse structures, narrative perspective, and constraint-based parsing, with applications in digital humanities and text mining. Her recent work involves neural networks for speaker attribution and computational analysis of literary reflexivity. Collaborations include the Carl Friedrich Lehmann-Haupt Doctoral Program and the 'Textstrukturen' center. She serves as editor for the Zeitschrift für Sprachwissenschaft and coordinates interdisciplinary initiatives.

Norbert PohlmannView profile

Professor

• Cyber Security
• Internet Security
• IT Security
• +7 more

Professor Norbert Pohlmann serves as Professor of Cyber Security in the Department of Computer Science I at Westfälische Hochschule (Westphalian University of Applied Sciences) in Gelsenkirchen, Germany. He leads the Institute for Internet Security (if(is)) and serves as Data Security and Network Officer for the university. Pohlmann also coordinates the Master's Internet Security program and maintains significant leadership positions in national and international cybersecurity organizations including as Chairman of the Board of TeleTrusT (the German IT Security Association), Board Member of eco (the German Internet Industry Association), and member of the Advisory Group of the European Union Agency for Cybersecurity (ENISA). His research focuses on Cyber Security, Internet Security, and IT Security with specializations in Trusted Computing, Mobile Security, Network Security, Data Protection, and AI Security. Pohlmann's work encompasses practical applications including Internet early warning systems, botnet detection, SmartCar/SmartGrid security, and firewall systems. He has developed trust-building mechanisms for digital environments and pioneered approaches to making cybersecurity solutions more trustworthy. Pohlmann's recent publications and presentations (2023-2025) demonstrate his leadership in emerging security challenges, particularly regarding AI security, digital trust frameworks, and gaming security. His work shows a consistent trend toward addressing the intersection of technological innovation and security requirements, with increasing emphasis on trustworthiness as a foundational element for digital transformation. Among his notable professional contributions are his leadership in developing the Cyber-Nation initiative, his work on EU AI Act compliance frameworks, and his research on security threats in gaming environments. His publications span both academic and practical domains, reflecting his commitment to bridging theoretical security concepts with real-world implementation. As an educator, Pohlmann teaches both Bachelor's and Master's level courses including Internet Protocols, IT Security Fundamentals, and specialized Internet Security courses. He has supervised numerous Master's theses and developed comprehensive curricula for cybersecurity education that emphasize both technical skills and strategic security thinking.

• Polymer Interfaces
• Soft Matter Physics
• Surface Science
• +4 more

Dr. Günter K. Auernhammer serves as Head of the Department Polymer Interfaces at the Leibniz Institute for Polymer Research Dresden, where he leads research on wetting phenomena and interfacial properties in soft matter systems. His department operates within the Division Physical Chemistry and Physics of Polymers at the institute. His research program focuses on understanding interfacial properties and developing strategies to tailor interfacial phenomena including adhesion, cohesion in composite systems, wetting, friction and tribology. The department employs a comprehensive approach that combines spectroscopic methods with physico-chemical characterization techniques and direct force measurements. Research interests include: Polymer Interfaces and Surface Modification Wetting and Capillary Phenomena Soft Matter Dynamics Material Characterization at Interfaces Polymer Grafting and Brush Modification Plasma Surface Treatment Dr. Auernhammer has established significant research credentials, maintaining an ORCID identifier (0000-0003-1515-0143) and ResearcherID (J-1640-2012), reflecting his active scholarly contributions to the field. Notable professional achievement: Individual Marie Curie Fellow at the Institute de Mécanique des Fluides et des Solides in Strasbourg, France He leads an experimental research group investigating dynamics in soft matter systems with particular emphasis on wetting phenomena. The department develops chemical approaches for interface modification including polymer grafting, polymer-brush modification, coatings with core-shell hybrid colloids, and plasma-based surface treatments.

Wing LamView profile

Assistant Professor

• Software Testing
• Flaky Tests
• Mobile Testing
• +4 more

Wing Lam is an Assistant Professor at George Mason University specializing in software engineering with a focus on software testing methodologies. His academic service includes program committee membership for major conferences including ASE, ICSE, ISSTA, and ESEC/FSE, as well as session chair roles across multiple tracks. His research interests center on flaky tests , mobile application testing , and continuous development optimization . Lam's work addresses critical challenges in test reliability, particularly order-dependent flaky tests and resource-related flakiness. His research bridges theoretical foundations with practical applications in modern software development pipelines, with recent expansion into AI-assisted testing methodologies. Lam's publication record shows a clear trajectory focusing on flaky test detection and mitigation, with approximately 60% of his recent work dedicated to various aspects of this problem. His research increasingly incorporates machine learning techniques for UI testing and test optimization, reflecting broader trends in the field. The consistent publication venue pattern across top software engineering conferences indicates strong recognition within the academic community. Lam has served in multiple leadership roles including Program Co-Chair for MOBILESoft Research Track and Committee Member for ASE's New Ideas and Emerging Results (NIER) Track. His involvement in workshops focused on flaky testing demonstrates his specialization in this niche area of software testing.

• Artificial Intelligence
• Machine Learning
• Biomedical Imaging
• +5 more

Despina Kontos, PhD is the Herbert and Florence Irving Professor of Radiological Sciences at Columbia University Irving Medical Center (CUIMC), with appointments in the Department of Radiology and the Herbert Irving Comprehensive Cancer Center. She serves as the Chief Research Information Officer for CUIMC, Vice Chair of Artificial Intelligence and Data Science Research in the Department of Radiology, and Director of Biomarker Imaging at NewYork-Presbyterian Hospital. Additionally, she holds appointments in the Departments of Biomedical Informatics and Biomedical Engineering. Dr. Kontos received her educational training from prestigious institutions: BS in Engineering from the University of Patras, Greece MSc and PhD in Computer and Information Sciences from Temple University Postdoctoral training in Radiology at the University of Pennsylvania Certificates in Biostatistics and Epidemiology from UPenn, Cancer Biology from Harvard, and AI for Decision Making from Wharton As a computer scientist with expertise in artificial intelligence and machine learning, Dr. Kontos focuses on developing computational methodologies to leverage imaging as quantitative biomarkers for personalized disease prediction, particularly in cancer. Her research program investigates how imaging data can be mined to extract sophisticated phenotypic signatures with diagnostic, prognostic, and predictive value. While her primary focus has been on breast cancer, her lab also pursues related research in lung cancers, evaluating the integration of CT radiomic features with liquid biopsy data to characterize tumor heterogeneity. Dr. Kontos founded and directs Columbia University's Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID), a multidisciplinary center dedicated to developing and integrating quantitative imaging and non-imaging biomarkers for personalized disease prediction. Through CIMBID, she has built a vibrant scientific ecosystem that brings together expertise across Columbia's campuses, linking basic science, engineering, clinical medicine, public health, and health services research. Analysis of Dr. Kontos's publication record reveals a strong focus on applying AI and machine learning to biomedical imaging, particularly for cancer risk prediction and personalized treatment. Her work demonstrates a progression from foundational methodological development to clinical translation, with increasing emphasis on multi-modal biomarker integration. Recent publications show expansion into new disease areas including Alzheimer's disease prediction, while maintaining her strong focus on breast and lung cancer applications. Dr. Kontos has received significant recognition for her contributions to the field: Academy for Radiology and Biomedical Imaging Research Distinguished Investigator Award (2020) Eastern Cooperative Oncology Group - American College of Radiology Imaging Network ECOG-ACRIN Young Investigator Award of Distinction for Translational Research (2014) Dr. Kontos has been highly successful in securing research funding, with numerous grants from federal agencies including the National Institutes of Health (NIH) and the Department of Defense (DOD), as well as private foundations such as the American Cancer Society (ACS) and the Radiological Society of North America (RSNA). Her leadership extends to mentoring students and postdoctoral researchers through her roles at CIMBID and the Department of Radiology. As the founding director of CIMBID, Dr. Kontos leads a multidisciplinary team that includes the Computational Imaging Biomarker Group (CBIG), the Laboratory of AI and Biomedical Science (LABS), and several other affiliated research labs. The center leverages Columbia's institutional strengths in engineering, data science, and clinical medicine to advance personalized healthcare through AI and imaging technologies.

Steffen BeckerView profile

Professor

• Software Engineering
• Cloud Systems
• Model-Driven Engineering
• +7 more

Steffen Becker is a Professor at the University of Stuttgart's Faculty of Computer Science, Electrical Engineering and Information Technology, affiliated with the Institute for Software Engineering's Software Quality and Architecture group. His work focuses on software engineering, cloud systems, model-driven engineering, and cybersecurity. He leads research in architectural modeling tools like Slingshot, GUI testing frameworks (ViMoTest), and hardware security analysis. Recent studies explore AI integration in testing, education, and automotive systems (CARISMA). Research interests include elasticity modeling, self-adaptive systems, and educational technology. His 2025 publications address issues like end-user hardware comprehension, FPGA security, and LLM-driven test generation. Notable tools developed include the Slingshot Simulator for cloud-native systems and Gropius for cross-component issue management. Becker contributes to both theoretical advancements and practical implementations in software quality, security, and cloud infrastructure. Key Areas: Software Architecture, Cyber-Physical Systems, Testing, Reverse Engineering Tool Developments: ViMoTest, Slingshot, Gropius Education Focus: Online programming pedagogy and curriculum innovation His work bridges foundational research with industry applications, addressing challenges in automotive computing, cloud elasticity, and human-centric security awareness. Recent efforts emphasize explainable hardware (XHW) and AI's role in qualitative analysis automation.