Find Academic Supervisors

• Cognitive Aging
• Driving Behavior
• Human Factors
• +4 more

Dr. Melanie Karthaus serves as a Researcher in the Experimental Ergonomics department at the Leibniz Research Centre for Working Environment and Human Factors (IfADo) in Dortmund, Germany. She operates within the Ergonomics research division under Department Head Prof. Dr. Edmund Wascher, focusing on age-related cognitive changes in complex tasks like driving. Her work bridges neuroscience, psychology, and human factors engineering to address challenges in an aging workforce and driving population. Her research centers on cognitive aging processes, particularly examining how executive functions change with age and impact real-world activities. Key areas include: Age-related differences in driving behavior and safety Neurophysiological correlates of cognitive load using EEG Compensatory strategies for aging drivers Monotony and fatigue effects across the lifespan Human-robot collaboration design principles Current projects investigate neural mechanisms underlying proactive versus reactive driving behaviors in older adults through the Dortmunder-Bonner Longitudinal Study (DoBoLSiS). Her publication analysis reveals consistent focus on driving safety across aging populations, with recent expansion into human-robot collaboration. Methodologically, she specializes in mobile EEG applications within realistic environments, contributing to neuroergonomics field validation. Collaborative patterns show sustained partnership with the IfADo Ergonomics team, particularly with Wascher, Getzmann, and Reiser across multiple high-impact studies.

Chetan AroraView profile

Senior Lecturer

• Software Engineering
• Requirements Engineering
• Natural Language Processing
• +4 more

Dr. Chetan Arora is a Senior Lecturer in Software Engineering and Director of Education for Software Systems and Cybersecurity at Monash University's Faculty of Information Technology in Australia. With a PhD in Computer Science from the University of Luxembourg and a Master's degree from Technische Universität Kaiserslautern in Germany, he brings both academic rigor and extensive industry experience to his research and teaching. Current Position: Senior Lecturer in Software Engineering at Monash University Leadership Role: Director of Education for Software Systems and Cybersecurity Previous Positions: Academic Director at Deakin University, Innovation Programs at SES Satellites Education: PhD (University of Luxembourg), MSc (TU Kaiserslautern), B.Tech (Thapar University) Dr. Arora's research focuses on the intersection of Software Engineering, Requirements Engineering, and Applied Artificial Intelligence. His work investigates how Natural Language Processing and Machine Learning can improve software reliability and trustworthiness. He has published extensively in top-tier venues including ICSE, FSE, RE, and ASE, with recent publications examining the application of large language models in software engineering practices. His research also extends to satellite communications (particularly dynamic resource allocation) and Internet of Things applications. His work demonstrates clear trends toward integrating AI technologies with traditional software engineering practices, particularly in requirements analysis, quality assurance, and testing. He has secured significant research funding from Australian Defence organizations for projects related to satellite communications and AI-based decision making. His recent publications show growing emphasis on ethical considerations of AI in software development and human-centered aspects of software engineering. 2022 Deakin School of Information Technology International and Partnership Award for Excellence in Advancing International Teaching Partnership 2022 Best Paper Award for Automated Question Answering for Improved Understanding of Compliance Multiple publications in top-tier software engineering conferences and journals As an educator and academic leader, Dr. Arora supervises numerous PhD students working on cutting-edge topics at the AI-software engineering intersection. His industry experience across multiple countries (Australia, Luxembourg, Germany, and India) provides valuable practical perspective to his academic work, particularly in satellite communications, IoT, and AI applications in critical systems. He serves on program committees for major conferences including ICSE, FSE, and RE, contributing to the broader software engineering research community.

Markus WeningerView profile

Senior Lecturer

• Software Visualization
• Software Understanding
• Software Engineering Education
• +7 more

Markus Weninger is a Senior Lecturer in Computer Science at the Institute for System Software at Johannes Kepler University Linz, Austria. Born in 1992, he completed his Bachelor's and Master's degrees in Computer Science with a focus on Software Engineering at JKU Linz. His dissertation on trace-based heap memory anomaly analysis was awarded the Award of Excellence from the Austrian Federal Ministry of Education, Science and Research in 2021. His research interests span Software Visualization, Software Understanding, Software Engineering Education, Performance Monitoring, and Performance Analysis. He has developed educational tools like JavaWiz, a trace-based graphical debugger for software development education, and has created numerous workshop formats for students of all ages to make computer science accessible and engaging. His publication record shows a strong focus on memory monitoring, visualization techniques, and software engineering education. His most recent work centers on trace-based debugging tools for education, Kotlin multiplatform performance monitoring, and SaaS observability. He has received multiple awards including Best Paper Awards at VISSOFT 2020 and STAG 2020, the JKU Young Researchers' Award, and the Kepler Award for Excellence in Teaching. Award of Excellence from Austrian Federal Ministry Best Paper Award for Memory Cities visualization Best Paper Award for Memory Leak Analysis visualization JKU Young Researchers' Award Kepler Award for Excellence in Teaching Weninger has supervised 36 bachelor theses, 14 master theses, and 12 software engineering projects, demonstrating his strong commitment to student mentorship. He has also conducted over 90 workshops for school children, with a particular focus on breaking stereotypes about computer science being only for boys, especially targeting elementary and middle school students.

Ruzanna ChitchyanView profile

Professor

• Software Engineering
• Requirements Engineering
• Energy Systems
• +4 more

Ruzanna Chitchyan serves as Full Professor in Software Engineering for Sustainability at the University of Bristol's School of Computer Science, with additional affiliations at the Bristol Poverty Institute and Cabot Institute for the Environment. Her research bridges software engineering with sustainability challenges, particularly in energy systems transformation. Her primary research interests focus on Software Engineering , Requirements Engineering , and Energy Systems , with specialized expertise in socio-technical systems, human-computer interaction, and community energy transition. Current work examines digital energy services, technology adoption barriers, and user-centered design for decentralized energy systems. Recent publications demonstrate strong interdisciplinary trends connecting software engineering methodologies with sustainable energy solutions, particularly analyzing heat pump adoption challenges and integrating sustainability into agile development frameworks. Her work consistently applies mixed-method approaches combining technical software engineering with social science perspectives. Professor Chitchyan actively contributes to academic service through numerous program committees including ASE, ICSE, and Requirements Engineering conferences. She leads significant research projects such as 'Co-creating equitable circular food systems through a digital hub' (2024-2027) and previously directed the 'Tolling up Citizens Upskilling for SLES' initiative. Her research environment includes supervision of graduate students and collaboration across multiple institutions, with particular emphasis on community engagement and co-creation methodologies for sustainable technology development.

Qi XinView profile

Associate Professor

• Software Engineering
• Automated Program Repair
• Software Debugging
• +4 more

Qi Xin is an Associate Professor at the School of Computer Science, Wuhan University. He is a member of the Centre of Software Testing, Analysis and Reliability (CSTAR) and serves on program committees for major software engineering conferences including ASE, ISSTA, and ICSE. Dr. Xin received his Ph.D. from Brown University under the supervision of Dr. Steven Reiss and was previously a Postdoctoral Researcher at Georgia Institute of Technology working with Dr. Alex Orso. His research focuses on software engineering, particularly on developing automated and semi-automated approaches to improve software development processes and enhance software quality, security, and reliability. His recent work centers on automated program repair, software debugging, and program debloating. Dr. Xin has published extensively in top-tier software engineering venues, with research that frequently addresses practical challenges in real-world software systems. Dr. Xin's publication record shows a consistent focus on improving software reliability through automated techniques. His work spans from foundational program analysis to practical tool development, with several publications focusing on Android applications and addressing challenges specific to mobile software development. His recent work has begun exploring the application of large language models to software engineering problems, as evidenced by his 2025 paper on conversational LLM-based repair. ACM SIGSOFT Distinguished Paper Award for fault localization research Guest editor for Automated Software Engineering (AUSE) Special Issue Reviewer for ACM TOSEM, IEEE TSE, and EMSE journals Dr. Xin actively mentors students and serves the academic community through conference organization and journal reviewing. He teaches courses including Compiler Design and Software Testing and Practice at Wuhan University, bridging his research expertise with classroom instruction to train the next generation of software engineers.

Matthias GoekenView profile

Professor

• IT Governance
• Information Management
• IT Security Management
• +7 more

Professor Matthias Goeken is a faculty member at Deutsche Bundesbank's University of Applied Sciences, where he specializes in business informatics and economic sciences. His academic career spans several prestigious institutions including Philipps University of Marburg and Frankfurt School of Finance & Management. Education: Studied economics at Philipps University of Marburg Awarded PhD by Philipps University of Marburg Research assistant to Professor Hasenkamp at Philipps University of Marburg's Institute for Economic Policy Professor Goeken's research focuses on IT governance frameworks including COBIT and ITIL, with emphasis on strategic effectiveness and efficiency. His work explores the integration of IT governance with business processes, reference modeling approaches, and the application of meta-models to configure governance frameworks for specific organizational contexts. He has made significant contributions to understanding the balance between comprehensive governance and bureaucratic complexity. Analysis of his recent publications reveals a strong focus on evidence-based approaches to IT governance, systematic reviews of research literature, and the practical application of reference models. His work increasingly addresses the challenges of digital transformation, in-memory technology adoption, and the human factors influencing governance effectiveness. Professor Goeken has founded and directed several significant projects including the IT-Governance-Practice-Network at Frankfurt School of Finance & Management, and managed third-party funded initiatives such as EiSFach, SemGoRiCo, and Tosl. He serves as Director for publications for ISACA Germany Chapter and as a FIBAA expert for system and programme accreditations. He is also the founder and co-editor of the journal IT-Governance published by dpunkt-Verlag, demonstrating his leadership in establishing academic discourse around governance frameworks and their practical implementation in organizational settings.

Frederik BaucksView profile

Research Fellow

• Educational Data Mining
• Learning Analytics
• Curriculum Analytics
• +3 more

Dr. Frederik Baucks serves as a Research Fellow at the Institute of Neuroinformatics (INI), part of the Faculty of Computer Science at Ruhr University Bochum, Germany. His work bridges neural computation principles with practical applications in educational technology, focusing on data-driven solutions for higher education challenges. He completed his doctoral dissertation Curriculum analytics: Data-driven insights for educational decision-making at Ruhr University Bochum in 2025, establishing foundational work in educational data mining. His academic journey reflects specialization in quantitative methods for educational systems. Dr. Baucks' research centers on curriculum analytics and learning analytics , with particular expertise in Item Response Theory applications for course difficulty analysis. His work systematically addresses bias detection in grading systems, equity in educational outcomes, and development of decision-support tools for academic administrators. Current projects extend into Generalized Linear Models for educational datasets, emphasizing practical implementation in university settings. His publication trajectory (2022-2025) reveals consistent focus on translating complex statistical methods into actionable educational insights, with increasing emphasis on dashboard development and real-world implementation through projects like KI:edu.nrw. Key contributions include novel frameworks for differential course functioning analysis and prerequisite-free curriculum simulation. Scientific recognition includes: Best Paper Nominee at LAK24: 14th International Learning Analytics and Knowledge Conference (2024) Best Paper Nominee at DELFI 2023: 21st Conference on Educational Technology Dr. Baucks teaches lab courses in Python for data analysis (Summer Terms 2023-2024) and actively collaborates on grant-funded initiatives, though specific grant details aren't documented in the source material. His advisory role focuses on technical implementation rather than student supervision. As core member of the INI's KI:edu.nrw project team, he develops the academic advising dashboard in collaboration with Prof. Laurenz Wiskott's research group. This cross-disciplinary team integrates neuroinformatics principles with educational technology, operating within the Faculty of Computer Science's infrastructure at Universitätsstr. 150, Bochum.

Alexander HahnView profile

Professor

• Digital Empathy
• User Experience Research
• Rapid Digital Prototyping
• +4 more

Alexander Hahn is a Professor at the Nuremberg Institute of Technology (TH Nuremberg), Germany, actively engaged in teaching and research with office space BL.133. His work bridges academic theory and industry applications in digital experience design and entrepreneurship education. His research centers on Digital Empathy—understanding users' emotional and cognitive responses to digital technology to create high-quality functional, aesthetic, and hedonic user experiences. He pioneers Rapid Digital Prototyping methods to accelerate Design Thinking and Lean Startup execution for students, while his multi-method UX Research integrates Affective Computing, Eye-Tracking, Behavioral Data Analysis, Surveys, and Ethnography for comprehensive user insights. Prof. Hahn has secured significant funding including the 2020 LEONARDO Emotion AI project, 2020-2021 Virtual University Bavaria Digital Teaching Grant for 'De-sign Thinking', and consecutive TH Nuremberg grants on Applied Hypothesis Testing in Digital Marketing (2019-2020) and Digital Empathy measurement development. He supervises Bachelor and Master theses through a structured application process with exam revisions scheduled through 2025. He maintains cross-disciplinary collaborations through the LEONARDO Center for Creativity and Innovation, notably in the interfaculty 'Scenario Planning for the Future of the Car' project with Electronics, Design, and Technical Journalism programs, extending to AUDI's 'Machine-Human Communication' initiative.

Alexander von HoffmannView profile

Professor

• Human-Machine Interaction
• Lighting Technology
• Sound Design
• +5 more

Prof. Dr.-Ing. Alexander von Hoffmann is a Professor at Nuremberg Technical University (Technische Hochschule Nürnberg) affiliated with the Faculty of Electrical Engineering, Precision Engineering and Information Technology and the Ohm User Experience Center (Ohm-UX). His work focuses on the intersection of human-machine interaction, lighting, and sound technologies, with applications primarily in automotive contexts and digital media. Prof. von Hoffmann completed his doctorate on adaptive vehicle headlights before working in lighting development for an automobile manufacturer. Since 2006, he has taught at Nuremberg Technical University and received research funding through the Bavarian High-Tech Agenda 2021 for his work on "Light and Sound as Human-Machine Interaction in Vehicles." His research spans several key areas in human-computer interaction. At the Ohm User Experience Center and his laboratory for mechatronic human-machine interfaces, he develops multimodal interaction concepts that utilize light and sound for intuitive communication. A significant focus is on AI-generated affective audio signals and adaptive light systems to improve transparency and acceptance of automated decisions. His work also includes sound design in digital games for enhanced user experience and AI-based acoustic fault detection for mechatronic components. Prof. von Hoffmann's recent publications demonstrate a strong focus on human-machine interfaces, particularly in automotive contexts. His work spans video technology, sound design, lighting systems, and UX research. Key trends include the application of AI in affective sound generation, multimodal interaction design, and technical implementation of human-centered systems across media, mobility, and industrial applications. His notable recognition includes: NERGIE Promotional Award 2009 for LED Street Lighting Prof. von Hoffmann is an active member of the German Society for Acoustics (DEGA) and contributes to the "Best Minds" campaign of the Bavarian State Government as part of the High-Tech Agenda Bavaria. His teaching approach combines technical depth with creative practice, emphasizing understandable, interactive knowledge transfer with a focus on future applications in media, mobility, and industry. He leads research at the Ohm User Experience Center (Ohm-UX), which serves as a hub for interdisciplinary collaboration on human-centered technology design. His laboratory for mechatronic human-machine interfaces develops innovative solutions that bridge the gap between technical capabilities and user needs, particularly in automotive contexts where safety and intuitive interaction are paramount.

Heiko HinkelmannView profile

Professor

• Embedded Systems
• Wireless Sensor Networks
• Energy Efficiency in Computing
• +3 more

Prof. Dr.-Ing. Heiko Hinkelmann is a Professor at Frankfurt University of Applied Sciences and serves as a member of the FUTURE AGING Research Center office since 2016. Based in Building 8, Room 114, he leads initiatives in developing innovative assistance technology with emphasis on safety, trustworthiness, and user-friendliness for aging populations. His research spans embedded systems design and optimization across multiple domains: Hardware/software co-design of energy-efficient embedded systems Wireless Sensor Networks for real-time monitoring Field Programmable Gate Array (FPGA) implementation Digital circuit and camera system development End-to-end energy analysis from hardware to data processing The FUTURE AGING Research Center provides laboratory infrastructure for prototyping and practical validation of these systems, focusing on early-stage integration of safety and usability requirements in assisted living applications.

Mirko SonntagView profile

Professor

• Software Engineering
• Scientific Workflows
• New Mobility
• +6 more

Mirko Sonntag is a Professor for Software Engineering at Esslingen University of Applied Sciences since 2019, concurrently serving as Head of the Fraunhofer Application Center KEIM and Head of the University Institute KEIM. His academic roles encompass teaching Software Engineering, Agile Development, Software Architecture, Programming, HCI, Testing, and DevOps within the School of Computer Science and Engineering. He earned his Dipl.-Informatiker in Software Engineering from the University of Stuttgart (2008), followed by a Dr. rer. nat. PhD (2012) focusing on scientific workflow flexibility at Stuttgart's Institute of Architecture of Application Systems as part of the DFG Cluster of Excellence 'Simulation Technology'. Professor Sonntag's research bridges Software Engineering with New Mobility domains, emphasizing e-Mobility, sustainable/intelligent mobility systems, micro-mobility, autonomous shuttles, and traffic simulations. His methodology integrates simulation technologies with software architecture to address real-world mobility challenges, particularly through the KEIM research institute. Publication trends since 2021 reveal a concentrated shift toward autonomous vehicle fleet simulation (SUMO-based) and dynamic pricing models for EV charging infrastructure, reflecting industry-aligned mobility innovation. Core disciplines span Computer Science and Transportation Engineering, with recurring subfields including Autonomous Vehicles, Traffic Simulation, and Fleet Management. He actively mentors students through bachelor's/master's theses at KEIM and offers research-focused student jobs, while securing institutional support as a member of the research council, science council, and University council. His leadership extends to the Laboratory for System and Software Technology and the University Institute KEIM, where interdisciplinary teams develop mobility solutions in collaboration with Fraunhofer, focusing on traffic simulation frameworks and sustainable transport systems.

• Serious Games
• Digital Education
• Computational Empowerment
• +4 more

Barbara Göbl is a PostDoc Researcher at the Centre for Teacher Education, University of Vienna, working within the Computational Empowerment Lab since October 2021. Her academic work focuses on the intersection of digital education, serious games, and computational thinking. Her research interests span multiple domains of educational technology, with particular emphasis on Computational Empowerment , Serious Games Design , and Participatory Design approaches in educational contexts. She investigates how digital tools can enhance learning experiences while addressing accessibility and equity concerns in formal education settings. Her work often bridges theoretical frameworks with practical applications in teacher education and K-12 classrooms. Analysis of her recent publications reveals a consistent focus on empowering both educators and students through technology. Her work demonstrates expertise in game-based learning methodologies, with particular attention to how commercial games can be adapted for educational purposes. She frequently explores the social dimensions of digital learning environments, especially regarding gender equity and social justice considerations in technology integration. Active peer reviewer for Entertainment Computing (6 reviews) Active peer reviewer for Information and Software Technology (2 reviews) Active peer reviewer for International Journal of Child-Computer Interaction (4 reviews) Dr. Göbl's research demonstrates strong interdisciplinary collaboration, frequently working with colleagues across computer science, education, and social sciences. Her recent work shows increasing focus on sustainable approaches to serious games and the practical implementation of computational empowerment frameworks in Austrian educational contexts.

• Child-Computer Interaction
• IoT and Smart Objects
• Educational Technology
• +5 more

Mehdi Rizvi is a researcher specializing in child-computer interaction, IoT systems, and educational technology. His work focuses on designing tangible interfaces and smart object toolkits for children and youth to foster socio-emotional learning, collaborative problem-solving, and responsible technology use. Key collaborations include projects with Rosella Gennari and Alessandra Melonio on IoTgo, a toolkit enabling end-user development of smart objects. He explores how technology can enhance classroom conversations, distance learning, and digital well-being among young generations. His research spans action research methodologies, participatory design processes, and accessibility for vulnerable groups. Recent studies address socio-technical issues in bias-aware frameworks and cross-generational design practices. He contributes to conferences like AVI, CHItaly, and ICWL, emphasizing tangible/digital integration in education.

• Human-Computer Interaction
• Artificial Intelligence
• Ubiquitous Computing
• +3 more

Albrecht Schmidt is a Professor at Ludwig Maximilians University Munich, where he leads the Media Informatics Group. His research spans Human-Computer Interaction (HCI), Artificial Intelligence, Ubiquitous Computing, and Privacy. He holds a PhD from Lancaster University (2003) and has held positions at the University of Stuttgart, University of Duisburg-Essen, and Fraunhofer IAIS. His education includes a PhD in Computer Science from Lancaster University (UK), research at the University of Karlsruhe (1998–2001), and studies at Manchester Metropolitan University (1995–1996). Schmidt's research explores AI-enhanced interaction, privacy-aware systems, and sensory interfaces. Key projects include PrivacyHub (smart home privacy controls), BrailleBuddy (tangible interfaces for visually impaired learners), and studies on AI ethics. His work emphasizes human agency in technology design. Recent publications focus on generative AI in HCI, VR/AR sensory feedback, and human augmentation. Trends include AI ethics (e.g., bias in ML annotations), embodied interaction (e.g., robot expressions), and digital wellbeing (e.g., mitigating smartphone overuse). He leads the Media Informatics Group at LMU, which develops innovative interfaces for real-world applications, such as healthcare, accessibility, and smart environments. Collaborative projects address human-robot interaction, adaptive learning systems, and inclusive design.

• Human-Computer Interaction
• E-Government
• Artificial Intelligence
• +5 more

Suree Funilkul is an active researcher in the fields of Human-Computer Interaction, E-Government, and Internet of Things (IoT). Her work focuses on user experience (UX) design, AI-driven conversational agents, cybersecurity in consumer IoT, and smart home technologies. She has collaborated extensively with researchers like Debajyoti Pal on studies involving voice assistants, metaverse adoption in education, and information quality frameworks for public sector systems. Her research spans both theoretical models (e.g., SEM-based analyses) and practical frameworks (e.g., CASUX scale for AI UX measurement).