جست‌وجوی استاد و پژوهشگر

Gül Calikliمشاهده پروفایل

دانشیار

• Human aspects in software engineering
• Empirical software engineering
• Cognitive psychology in software development
• +۶ مورد دیگر

Gül Calikli is an Associate Professor (Senior Lecturer) in Software Engineering at the School of Computing Science, University of Glasgow, United Kingdom. She has held academic positions at several prestigious institutions including the University of Zurich as a senior researcher, Chalmers | University of Gothenburg as a lecturer, and postdoctoral fellowships at The Open University (UK) and Ryerson University (Canada). Dr. Calikli earned her Ph.D. in Computer Engineering from Boğaziçi University in Istanbul. Her academic journey reflects a strong commitment to advancing empirical software engineering with a focus on human aspects. Dr. Calikli's research centers on the intersection of software engineering and cognitive psychology, with a particular emphasis on understanding and mitigating cognitive biases in software development practices. Her work explores how human cognitive limitations impact program comprehension, code review, and vulnerability detection. She investigates how to present information effectively to software practitioners considering human cognitive constraints, and develops tools and techniques based on cognitive psychology to enhance decision-making in software development. Her research also incorporates machine learning systems with "human in the loop" approaches, creating joint cognitive systems that extend human intelligence. Analysis of Dr. Calikli's recent publications reveals a consistent focus on human aspects in software engineering, particularly examining cognitive biases like confirmation bias and their impact on software quality. Her work spans multiple domains including code review practices, vulnerability detection, program comprehension, and privacy-aware software development. A notable trend is her methodological approach combining controlled experiments, field studies, and quantitative analysis of system logs to investigate human factors in software engineering. Best Paper Award at ESEM2013 (Industry Track) Chalmers Area of Advance SEED Funding in 2018 ACM SIGSOFT Distinguished Artifact Award at ICSE 2020 ACM Distinguished Paper Award at ICSE 2021 ACM SIGSOFT Distinguished Paper Award at ESEC/FSE'22 Distinguished Reviewer Award at ICSME'23 Distinguished Reviewer Award at ICPC'22 Dr. Calikli actively supervises PhD students working on diverse topics including team dynamics in agile development, eye-tracking for human-AI pair programming, leveraging LLMs for software development/testing, and sustainability in software engineering teams. She has served on numerous program committees for major software engineering conferences including ASE, ICSE, FSE, and ESEC/FSE. Her research has been supported by various funding mechanisms, including the Chalmers Area of Advance SEED Funding. As an active member of the software engineering community, Dr. Calikli contributes to the advancement of the field through her service on editorial boards (including ACM Transactions on Software Engineering and Methodology), participation in the EPSRC Peer Review College, and organization of conference tracks such as the ICPC 2024 ERA Track which she co-chaired.

Marianne Huchardمشاهده پروفایل

استاد

• Formal Concept Analysis
• Software Engineering
• Model-Driven Engineering
• +۳ مورد دیگر

Marianne Huchard is Full Professor of Computer Science at the University of Montpellier, Faculty of Sciences since 2004, serving as Director of LIRMM (Laboratory of Informatics, Robotics and Microelectronics at Montpellier) and head of its Computer Science Department. She also participates in the human resources committee of the MIPS scientific department. She earned her PhD in Computer Science in 1992 researching algorithmic aspects of multiple inheritance in object-oriented programming languages. Her primary research domains are Formal Concept Analysis (theoretical and applied, including Relational Concept Analysis) and Software Engineering (model-driven engineering, component-based development, and software product line migration), with recent work integrating Large Language Models for innovative solutions. Analysis of her 2024-2025 publications reveals a strong interdisciplinary trend: Relational Concept Analysis enhanced by LLMs is being applied to software engineering challenges like user-story generation, class model restructuring, and product line migration, demonstrating significant methodological innovation. Scientific awards: None documented in provided sources. She actively supervises doctoral research: Thomas Georges (defended January 2023): 'Agile Engineering of Software Product Lines for Agricultural Decision Support' Austin Waffo-Kouhoué (defended November 2024): 'Web Accessibility for People with Visual Impairments' Her research is supported by projects including RCAviz (funded by #DigitAg), FCA4J toolkit development, and Web Iris accessibility extension. As leader of the MAREL team (Models And Reuse Engineering, Languages) at LIRMM, she drives research at the formal methods/software engineering intersection and co-created Montpellier's Master's program in Software Engineering.

Colin Reiffمشاهده پروفایل

پژوهشگر

• Process Control
• Production Optimization
• Additive Manufacturing
• +۴ مورد دیگر

Colin Reiff serves as a Research Assistant at the Institute for Control Engineering of Machine Tools and Manufacturing Units at the University of Stuttgart, focusing on advanced manufacturing systems and process optimization. His work bridges theoretical research with industrial applications in automotive, aerospace, and general production contexts. His research interests center on process control and optimization in multi-stage production systems and Additive Manufacturing (Powder Bed Fusion Processes) . Reiff has developed innovative approaches for zero-defect manufacturing, particularly through smart centering methods for rotation-symmetric parts and automated vision data systems using collaborative robots. His work demonstrates how dimensional deviations can be compensated during production rather than detected at final inspection. Analysis of his publication record from 2018-2024 reveals consistent focus on manufacturing innovation, with increasing emphasis on data-driven approaches, software-defined manufacturing, and sustainable production. His research spans both theoretical frameworks and practical implementations, with several solutions transitioning to industrial applications. Reiff actively supervises student theses and practical experiments, including the "Simulation of a feed axis closed loop control with MATLAB/Simulink" laboratory course. His work has been supported through EU-funded projects like ForZDM under Horizon2020 and the High-Performance Center "Mass Personalization" in Stuttgart. His research group operates within the University of Stuttgart's manufacturing ecosystem, contributing to initiatives like the "Stuttgarter Maschinenfabrik" - a fully digitalized production environment for customer-individualized products. This environment leverages digital twins and new technological infrastructure to enable application development freedom and machine park flexibility.

Karin Küffmannمشاهده پروفایل

استاد

• IT Management
• Digital Business Models
• Smart Cities
• +۶ مورد دیگر

Prof. Dr. Karin Küffmann is a Professor of Business Informatics at the Faculty of Economics, Westphalian University of Applied Sciences in Gelsenkirchen, Germany. She serves as Head of the Digital Business and IT Management degree program and leads significant research projects including URBAN.KI (Artificial Intelligence for Municipalities) and ARIZON (XR in inner cities). Her work focuses on practical applications of digital technologies in urban development and business contexts across the Ruhr region. Her primary research interests include: IT Management and IT Controlling with process-oriented approaches Digital Business Models and Data Value Creation Sustainable Smart Cities development in the Ruhr region Artificial Intelligence applications for municipalities Extended Reality (VR/AR) in customer-oriented applications Digital and data-driven business models Prof. Küffmann's recent publications demonstrate a strong trajectory toward applied urban digitalization research, with particular emphasis on Smart City development in the Ruhr region, XR technologies for revitalizing vacant properties, and digital business models for traditional retailers. Her work consistently bridges theoretical concepts with practical implementation, focusing on sustainability and economic viability in municipal contexts. She is actively engaged in regional digitalization initiatives as an Ambassador of the Smart Region Emscher-Lippe, participating in various working groups and functions related to digitalization and evaluation at state and district levels. Within her university, she serves on multiple committees including appointment committees, equal opportunities committees, quality assurance committees, program development, and international affairs. Her professional activities extend beyond academia through consulting and coaching in digitalization, delivering lectures, and managing regional projects focused on IT strategies, data value creation, and the implementation of AI and VR technologies. She supervises theses on digital transformation topics, particularly AI applications in SMEs, and maintains active industry partnerships through her research projects.

Ulrich Eiseneckerمشاهده پروفایل

استاد

• Software Engineering
• Generative Software Development
• Software Product Lines
• +۵ مورد دیگر

Professor Ulrich Eisenecker serves as the Director of the Institute for Business Informatics at Leipzig University's Faculty of Economics and Business Administration. He holds the Chair of Business Informatics with specialization in software development for business and administration, a position he has maintained since October 2004. Prior to this, he served as Dean of the Faculty (2012-2016) and Pro-Dean (2008-2012). His academic journey includes professorships at Kaiserslautern University of Applied Sciences (1999-2004) and Heidelberg University of Applied Sciences (1995-1999), following research positions at Daimler-Benz Research Institute and Mannesmann Kienzle GmbH. Professor Eisenecker's research focuses on Generative Software Development , Software Product Lines , Software Visualization (including 2D, 3D, AR and VR applications), and E-Assessment systems . His work bridges theoretical computer science with practical business applications, particularly evident in his application of set theory to software features and product lines. He leads the ongoing 'Visual Software Analytics' project and has previously directed projects funded by the European Social Fund and German Federal Ministry of Education and Research. His publication record spans over two decades, highlighted by the influential 2000 book 'Generative Programming' co-authored with K. Czarnecki and the 2017 Most Influential Paper Award from the Software Product Line Conference. Recent work (2023-2025) continues to advance software engineering and educational technology, particularly in automated assessment systems using AI techniques. Notable recognition: Most Influential Paper Award from Software Product Line Conference 2017 (SPLC 2017) Professor Eisenecker supervises doctoral and master's students, with numerous successful completions including Dr. Richard Müller, Dr. Max Lillack, and Dr. Johannes Kristan. His research group includes several scientific staff members and regularly publishes with student co-authors. He teaches 'Introduction to Computer Science' for economics students, 'Programming,' and 'Software Engineering' courses, integrating his research in automated feedback systems into his pedagogy. His research group maintains strong connections between academic research and practical applications, particularly through open source initiatives and industry collaborations focused on software analytics and educational technology.

Eray Tüzünمشاهده پروفایل

دانشیار

• Software Product Line Engineering
• Empirical Software Engineering
• Gamification
• +۵ مورد دیگر

Eray Tüzün is an Associate Professor of Computer Engineering at Bilkent University in Turkey, where he leads the Bilkent University Software Engineering and Data Analytics Research Group (BILSEN). With over 20 years of experience in software design and development spanning both academia and industry, he bridges theoretical research with practical software engineering applications. His educational background includes bachelor's and master's degrees in Computer Science and a PhD in Information Systems. Before joining Bilkent University, he accumulated substantial industry experience including 9 years at HAVELSAN (serving as Productization Lead, Academy Manager, Product Owner, and Software Engineer), plus roles at Microsoft as a Software Design Engineer in the Online Services group, Senior Software Engineer at Howard Hughes Medical Institute, and Research Engineer at CWRU Genomics Center. His professional certifications include Certified Product Manager, MCSD: Application Lifecycle Management, Professional Scrum Master (PSM), and Professional Scrum Product Owner (PSPO). Tüzün's research focuses on several interconnected areas including Software Product Line Engineering , Empirical Software Engineering , Gamification , Software Engineering Education , DevOps & Agile Software Development , and Bioinformatics . His empirical approach involves mining software repositories to analyze development practices, identify patterns, and propose improvements. Recent work increasingly examines the intersection of AI and software engineering, particularly how large language models can enhance code review and comment quality. His research output shows clear trends toward analyzing code quality metrics, identifying 'smells' in development processes, and applying data analytics to software engineering practices. Key themes include bus factor estimation for measuring knowledge concentration in software projects, empirical studies of code review processes, continuous integration practices, and issue tracking systems in open source projects. Tüzün is a senior member of IEEE and an active member of ACM SIGSOFT and IEEE Computer Society. He represents Bilkent University in the International Software Engineering Research Network (ISERN), connecting his research with the global software engineering community. His service to the field includes program committee roles at major conferences such as ASE, ICSE, ESEC/FSE, and ESEM, with leadership positions including PC Co-Chair for ICSSP 2020 and Industry Track Co-Chair for EASE 2023. As head of the BILSEN research group, he mentors graduate students and collaborates on projects that bridge theoretical research with practical applications. His research has been consistently published in top-tier software engineering venues over the past decade, demonstrating both continuity in core research areas and adaptation to emerging trends like AI-assisted software development.

Antonio Ruiz-Cortésمشاهده پروفایل

استاد

• Service Oriented Computing
• Software Engineering
• Software Architecture
• +۴ مورد دیگر

Antonio Ruiz-Cortés is Professor of Software and Service Engineering at the University of Seville and an elected member of the Academy of Europe. He currently heads the Applied Software Engineering Group at the University of Seville and has served as President of the Spanish Society on Software Engineering (SISTEDES) since September 2018. His research spans multiple critical areas of modern software engineering: Service-Oriented Computing Software Architecture Business Process Management Testing methodologies Software Product Lines Automatic Model Analysis Professor Ruiz-Cortés has established himself as a leading researcher in REST API testing and verification, with multiple influential publications in top software engineering conferences. His work bridges traditional software engineering with emerging domains like quantum computing, demonstrating remarkable adaptability. He has developed practical tools including RESTest and AGORA that address real-world testing challenges faced by industry practitioners. His scientific contributions have been recognized with the Most Influential Paper award at SPLC 2017. He serves as associate editor for Springer Computing and has organized major conferences including JCIS 2008, SPLC 2017, SISTEDES 2018 and BPM 2020, demonstrating significant leadership in the academic community. Professor Ruiz-Cortés maintains active research funding supporting his work in service-oriented computing and software testing, though specific grant details aren't provided in the available information. His presidency of SISTEDES reflects his commitment to advancing software engineering research in Spain.

Sven Apelمشاهده پروفایل

استاد

• Software product lines and configurable systems
• AI-based program generation and optimization
• Socio-technical software analysis
• +۳ مورد دیگر

Professor Sven Apel holds the Chair of Software Engineering at Saarland University's Saarland Informatics Campus in Germany. He is also the Director of the Saarbrücken Graduate School of Computer Science. His work focuses on software engineering with an emphasis on automation, human factors, and interdisciplinary approaches. Prof. Apel received his Ph.D. in Computer Science in 2007 from the University of Magdeburg. His academic journey includes: Ph.D. in Computer Science, University of Magdeburg (2007) Emmy-Noether Fellowship of the German Research Foundation Heisenberg Professorship of the German Research Foundation Prof. Apel's research centers on empowering software engineering practice to enter an era of intensive automation. His key research areas include software variability and configuration, AI-based program generation and optimization, socio-technical software analysis, and empirical and neurophysiological methods. He pays special attention to the human factor and interdisciplinary research questions, applying his findings to real-world software systems from both open-source projects and industry collaborations with partners like Siemens AG, Bosch Engineering, and Airbus Helicopters. Analysis of Prof. Apel's recent publications reveals a strong focus on configurable software systems, neurophysiological approaches to understanding programming, and the application of AI techniques to software engineering problems. His work often bridges the gap between theoretical foundations and practical applications, with many studies involving industrial collaborations. There's a noticeable trend toward interdisciplinary research combining software engineering with neuroscience, organizational studies, and machine learning. Prof. Apel has received numerous prestigious awards and honors: ERC Advanced Grant "Brains On Code" (2022) ACM Distinguished Member for "Outstanding Scientific Contributions to Computing" (2018) Multiple Most Influential Paper Awards (SPLC'18, ICPC'22, GPCE'23) Multiple Best Paper Awards (SPLC'11, Modularity'15, AOM'18) Heisenberg Professorship and Emmy-Noether Fellowship from the German Research Foundation Prof. Apel has advised numerous Ph.D., Master's, and Bachelor's students throughout his career. His research has been generously funded by multiple grants including an ERC Advanced Grant (2,500,000 Euro, 2022-2027), several DFG projects (CPEC, Congruence, Pervolution), and previous grants like SafeSPL, FeatureFoundation, and Pythia. His work has practical impact through collaborations with industry partners including Siemens AG, Bosch Engineering, and Airbus Helicopters. Prof. Apel leads research in the Chair of Software Engineering at Saarland University, where his team explores the intersection of software engineering, neuroscience, and artificial intelligence. His "Brains On Code" ERC project specifically investigates how programmers' brains process code using neuroimaging techniques. The research group maintains strong connections with both academic and industry partners, facilitating the transfer of research findings into practical applications.

Austin Mordahlمشاهده پروفایل

استادیار

• Static Analysis
• Taint Analysis
• Automated Testing
• +۴ مورد دیگر

Austin Mordahl is an Assistant Professor in the Department of Computer Science at the University of Illinois Chicago. His research focuses on improving the usability and reliability of software quality assurance tools, particularly static analyses and fuzz testing. Dr. Mordahl actively seeks students interested in cutting-edge research in software engineering at UIC. Dr. Mordahl's research interests span multiple areas of software engineering with a particular emphasis on: Static Analysis and Taint Analysis for software security Automated Testing techniques including fuzz testing Improving the usability and reliability of software quality assurance tools Configurable static analysis tools and their behavior Applying machine learning to triage and configure static analysis tools Lifting static analysis to work on software product lines Improving evaluations of fuzz testing tools His recent publications demonstrate a strong focus on addressing challenges in configurable static analysis tools, with particular attention to nondeterministic behavior, configuration spaces, and automatic testing and debugging approaches. Mordahl's work bridges theoretical foundations with practical applications, aiming to make software quality assurance tools more accessible and effective for developers. Dr. Mordahl has received several prestigious awards for his work: NSF Graduate Research Fellowship Awardee (2020) Eugene McDermott Graduate Research Fellowship Awardee (2020) ICSE 2019 Student Research Competition Winner Dr. Mordahl is actively involved in mentoring and seeks students interested in software engineering research. He has served on numerous program committees for top software engineering conferences including ICSE, ASE, ISSTA, and PLDI. His service to the academic community extends to artifact evaluation committees, demonstrating his commitment to research reproducibility and rigor.

Stefan Wagnerمشاهده پروفایل

استاد

• Software Quality
• AI-Supported Software Engineering
• Empirical Studies
• +۳ مورد دیگر

Stefan Wagner is a full professor of software engineering at the Technical University of Munich (TUM), where he leads the Chair of Software Engineering within the Informatics Heilbronn 3 department. He earned his PhD in computer science from TUM and has established himself as a leading researcher in software engineering with a unique interdisciplinary background combining computer science and psychology. Dr. Wagner's research spans multiple areas of software engineering including software quality, human factors, AI-based software engineering, automotive software, and empirical studies. His work often bridges theoretical foundations with practical applications, particularly in the automotive domain and AI-assisted development. He has published over 130 peer-reviewed scientific articles and authored the book 'Software Product Quality Control.' His recent publications demonstrate a growing focus on AI integration in software engineering, with particular attention to large language models, empirical validation of AI-assisted development practices, and the human aspects of these emerging technologies. There's also a strong thread of research on automotive software systems, technical debt, and software quality measurement. 2022 Class of IEEE Computer Society Distinguished Contributors Senior member of IEEE and ACM Best Full Paper Award, ACM/IEEE International Symposium on Empirical Software Engineering and Measurement 2020 Best Paper Award, EAI International Conference on Cognitive Computing and Cyber Physical Systems 2020 Keynote at the International Conference on Software Quality 2020 Google Research Award 2009 Dr. Wagner actively mentors students and early-career researchers, with several frequent co-authors on his publications likely representing his advisees. His research has been supported by various funding sources enabling his work on automotive software, AI in software engineering, and empirical studies. He serves on the editorial boards of IEEE Software, Empirical Software Engineering, and the Journal of Systems and Software, contributing significantly to the academic community. His research group appears to focus on several key areas including AI-assisted software development, automotive software systems, and empirical software engineering methods. The group maintains active collaborations with industry partners, particularly in the automotive sector, and engages in interdisciplinary research bridging computer science with psychology and human factors.

Yutian Tangمشاهده پروفایل

استادیار

• AI+SE
• Large-language Model+SE
• Program Analysis
• +۵ مورد دیگر

Dr. Yutian Tang serves as an Assistant Professor (UK Lecturer) and Principal Investigator at the School of Computing Science, University of Glasgow, where he supervises PhD students and leads research in AI-driven software engineering. His academic journey includes a PhD from The Hong Kong Polytechnic University's Department of Computing. His research spans AI+SE integration , particularly focusing on Large Language Models for program analysis, software testing, and Android security. Key areas include: LLM-assisted vulnerability detection and repair Empirical studies of real-world software systems Privacy protection mechanisms Configuration compatibility in mobile applications Smart contract security optimization His publication portfolio shows a clear trajectory toward AI-augmented software engineering , with recent work demonstrating how LLMs can enhance taint analysis, binary code similarity detection, and test generation. This evolution reflects the field's broader shift toward AI integration while maintaining rigorous empirical validation. Award highlights include: Best Industry Paper Award at ISSRE'18 Elevation to IEEE Senior Member (2024) Three Android OS defects confirmed by Google Security Team As an active researcher and community contributor, Tang serves on 40+ program committees including PLDI, ICSE, and FSE. His work receives funding from National Natural Science Foundation of China, Shanghai Science Commission, OpenAI, and Google. Current projects focus on automated bug localization and LLM-based testing frameworks, with recent grants from OpenAI Cybersecurity and Google Cloud programs. He leads research groups investigating Android security and AI-assisted program analysis, collaborating with institutions like Lund University.

Leopoldo Teixeiraمشاهده پروفایل

استادیار

• Software Engineering
• Software Product Lines
• Configurable Systems
• +۷ مورد دیگر

Leopoldo Teixeira is an Assistant Professor at the Informatics Center (CIn) of the Federal University of Pernambuco, where he leads the Software Testing and Analysis Research group. He is also affiliated with the Software Productivity Group and CIn-Trust. Since May 2023, he has served as head of graduate studies at his department. His educational background includes: PhD in Computer Science from the Federal University of Pernambuco (CIn-UFPE) in 2014, supervised by Paulo Borba and Rohit Gheyi MSc in Computer Science from CIn-UFPE in 2010 Bachelor's degree in Computer Engineering from the Polytechnic School of Pernambuco in 2007 During his PhD, he spent a winter term at the University of Waterloo working with Krzysztof Czarnecki. In 2022, he was a CAPES-Alexander von Humboldt Experienced Research Fellow at the Chair of Software Engineering of Universität des Saarlandes, working with Sven Apel on variability analysis over time and space. His research focuses on Software Engineering with emphasis on improving software quality and productivity. His work spans software product lines, configurable systems, refactoring, formal methods, software testing, and mobile development. His publication record shows a consistent focus on software analysis, testing, and maintenance, with recent work exploring Dockerfile repair and flaky test detection. His scientific recognition includes the CAPES-Alexander von Humboldt Experienced Research Fellowship in 2022. As an active member of the software engineering research community, he has served on program committees for numerous conferences including ASE, ICSE, ESEC/FSE, and others across multiple years. Leopoldo leads the Software Testing and Analysis Research group at CIn-UFPE and is affiliated with the Software Productivity Group and CIn-Trust, indicating a strong institutional presence and collaborative research environment.