جستجوی استاد راهنمای دانشگاهی

Xiaofeng Wang is a Tenured Associate Professor at the Faculty of Engineering, Free University of Bozen-Bolzano, Italy. Her academic roles include teaching courses such as Agile Software Development, Entrepreneurial Software Engineering, and Software Project Management. She holds a PhD from the University of Bath, UK, and previously worked at Lero, the Irish Software Engineering Research Centre as a postdoc. Her research focuses on agile and lean software development, software startups, and human factors in software engineering. Key areas include managing technical uncertainty in startups, generative AI applications in software inception, and hybrid work impacts on development practices. She actively publishes in journals like IEEE Software and conferences such as XP 2024. Dr. Wang’s work emphasizes innovation in software ecosystems and startup success factors, with contributions to metrics for software startups and secure DevOps approaches. Her recent studies explore post-pandemic remote work dynamics and blockchain applications for virtual teams. She has led or participated in national and European projects, bridging academic research with industry needs. Her teaching integrates real-world projects, such as the Students Sprint course, to enhance student engagement. She has pioneered educational tools like the ‘Essencery’ for essentializing software practices and ‘Digital Mentor’ chatbots for startup hypothesis generation. Her research and teaching aim to advance both technical and entrepreneurial competencies in software engineering.

• Agile and Lean Software Development
• Software Startups
• Software Innovation
• +۳ مورد دیگر

Shaowei Wang is an Assistant Professor in the Department of Computer Science at the University of Manitoba's Faculty of Science. His research focuses on software engineering and data mining, aiming to develop algorithms that leverage big software data (e.g., code repositories, developer social media) for efficient and effective software development. Key interests include recommendation systems, data-driven software engineering, software debugging, program comprehension, and secure software development. He leads the Mamba Lab, which explores these areas through empirical studies and tool development. His work spans topics such as large language model (LLM) applications in code analysis, vulnerability detection, graph fairness, and automated evaluation frameworks for API-oriented code generation. Recent studies address challenges like input order bias in LLMs, silent vulnerability fixes, and fair graph learning. He has contributed to over 50 peer-reviewed publications, emphasizing practical and theoretical advancements in software engineering and data science. Teaching interests include software engineering, data-driven software engineering, and data mining. His research has been recognized through collaborations with industry and academic partners, though no specific awards are listed. Advising and grant details are not explicitly mentioned in available texts.

• Software Engineering
• Data Mining
• Recommendation Systems
• +۵ مورد دیگر

Mark Claypool is a Full Professor in the Department of Computer Science and Interactive Media & Game Development at Worcester Polytechnic Institute (WPI). He joined WPI in 1997 after completing his Ph.D. at the University of Minnesota. His research spans multimedia networking, congestion control, network games, and information filtering, with over 100 peer-reviewed publications and two books on computer games. Education: B.A. Mathematics, Colorado College (Magna Cum Laude, 1990) M.S. Computer Science, University of Minnesota (1993) Ph.D. Computer Science, University of Minnesota (1997) Claypool's research integrates networking and gaming, focusing on latency effects, quality of experience (QoE), and cloud-based systems. Recent work examines frame rate variations, input delay, and network turbulence in cloud gaming (e.g., Google Stadia). He also develops tools like Reflex for reaction-time measurement and contributes to TCP protocol improvements for wireless networks. His publications show a strong trend toward empirical studies of gaming QoE, with 2022-2025 papers analyzing latency compensation, player skill, and cloud-streaming robustness. This work bridges human-computer interaction and network systems, often using custom software for controlled experiments. Claypool chairs ACM conferences on networks/games and serves on technical program committees. He created the Dragonfly game engine for educational use and has advised projects on game development and network optimization.

• Multimedia Networking
• Congestion Control
• Network Games
• +۲ مورد دیگر

Tom Mens is a Full Professor at the University of Mons (UMONS), where he leads the Software Engineering Department and serves as President of the INFORTECH Research Institute. He teaches software engineering and programming languages to undergraduate and graduate students, and actively participates in doctoral training programs. His research focuses on several interconnected domains: Software Evolution : Studying long-term software system changes Open Source Ecosystems : Analyzing community dynamics and dependencies Model-Driven Engineering : Developing model-based software methodologies Software Quality : Ensuring reliability and maintainability Empirical Studies : Quantitative analysis of development practices Recent publications (2023-2025) demonstrate strong research trends in GitHub ecosystem analysis, including bot detection techniques, security vulnerabilities in CI/CD pipelines, dependency management challenges, and workflow automation studies. This work frequently involves developing specialized tools and creating benchmark datasets for empirical validation. Professor Mens has supervised multiple PhD students including N. Chidambaram (bot identification), T. Bosser (temporal event modeling), and M. Golzadeh (bot detection in social coding). He directs the Software Engineering Laboratory at UMONS and leads the INFORTECH Research Institute, fostering collaborations in software technology and complex systems research.

• Software Engineering
• Software Evolution
• Open Source Ecosystems
• +۶ مورد دیگر

Aron Lindberg is an Associate Professor of Information Systems at the School of Business, Stevens Institute of Technology. His research focuses on digital innovation, particularly in crowd-based systems (e.g., open source software, wikis) and AI-driven processes (e.g., semiconductor design, virtual worlds). He employs mixed methods, combining qualitative and computational approaches to advance theoretical understanding. Service Roles: Academic Coordinator for the Management of AI Certificate (Pfizer collaboration) Chair of Tenure-Track Faculty Mentorship Course Coordinator for BT466 Data Analytics Chair of Hiring Committees for IS/Analytics Positions Member of Multiple Academic Program Committees Research Interests: Crowd-Based Innovation: Studies open source software, Wikipedia, and ideation contests to analyze emergent routines and artifact evolution. AI-Based Innovation: Explores AI tools in semiconductor design and video game generation, emphasizing ambiguous, emergent design processes. Mixed Methods: Develops frameworks for integrating human and machine pattern recognition in theory construction. Recent Work Trends: Lindberg’s publications highlight open source software dynamics, AI’s impact on design processes, and abductive research methodologies. His work bridges technical systems and social processes, emphasizing innovation ecosystems. Professional Engagement: Visiting Professorships at New York University (2023) and Umeå University (2024). Member of the Academy of Management (AOM) and Association for Information Systems (AIS). Teaching: Courses include MIS699 Digital Innovation, BT466 Data Analytics, and MIS735 Socio-Technical Theories.

• Digital Innovation
• Information Systems
• Artificial Intelligence
• +۴ مورد دیگر

Barbara Russo is a Full Professor at the Faculty of Computer Science of the Free University of Bozen-Bolzano, Italy. She is a member of the International Software Engineering Research Network (ISERN) and has held visiting researcher positions at the Max-Planck Institute for Mathematics (Germany) and the University of Liverpool (UK). Her research focuses on Machine Learning in Software Engineering, Software Reliability/Testing, and Systems Engineering. She founded and coordinated the Software and Systems Engineering (SwSE) research group (2014–2017) and is involved in initiatives like the European Masters Program in Software Engineering (EMSE). Awarded the 2007 Best Public-Private Collaboration Award for establishing a dual BSc program in Computer Science. Established a makerspace (now FabLab) at her faculty and contributed to projects like the Euregio Trustworthy AI Lab. Research spans DevOps processes, embedded systems vulnerability, and collaborative AI assurance. Her work emphasizes empirical software engineering and practical industry collaboration, with notable contributions to scalability testing, performance modeling, and vulnerability detection.

• Machine Learning
• Software Engineering
• Systems Reliability
• +۴ مورد دیگر

Rob Hierons is Professor and Chair in Testing at the University of Sheffield's School of Computer Science. His research develops automated testing techniques for software systems, focusing on model-based testing, distributed systems, and recently autonomous robotics. He aims to enhance software quality through efficient test generation from specifications and code. His work spans theoretical foundations and practical applications, including CSP-based testing models and diversity-based test optimization. Current interests include verification of robotic systems and causal testing frameworks. He has published extensively in software engineering venues and serves in editorial roles for major testing journals.

• Software Testing
• Autonomous Systems
• Robotics

Rebekka Wohlrab is a tenure-track Assistant Professor in Software Engineering at Chalmers University of Technology (Gothenburg, Sweden) and an adjunct faculty member at Carnegie Mellon University’s Software and Societal Systems Department (S3D). Her research focuses on requirements engineering, self-adaptive systems, and robotics. She leads a research group supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Education: PhD in Computer Science and Engineering (Chalmers, 2020), MSc/BSc in Computer Science (Paderborn University, 2016). Postdoc at Carnegie Mellon University (2020-2022). Research interests include requirements conflicts resolution, quality attribute trade-offs, and ethical monitoring in cyber-physical systems. She has published extensively on adaptive systems, architectural tactics, and agile development practices. Notable contributions include frameworks for robot mission planning, security assurance cases, and traceability management in automotive systems. Recent awards include a pedagogical prize from students at Chalmers. She advises PhD students on topics like self-adaptive robotics and WASP-funded projects. Her work spans theoretical research and industry collaboration (e.g., Volvo Cars). Active in conferences like ICSE, RE, and ICSA as a program committee member. Labs/Teams: Leads the Self-Adaptive Systems Research Group at Chalmers, collaborating with WASP and automotive industry partners.

• Requirements Engineering
• Software Architecture
• Self-Adaptive Systems
• +۴ مورد دیگر

Lewis Baumstark is a Professor of Computing in the School of Computing, Analytics, and Modeling at the University of West Georgia. His research spans computer science education, software reverse engineering, and computer architecture, with significant contributions to automated assessment systems and pedagogical analytics. Research domains include: Automated evaluation of student code Version control mining for process analysis Examination format impacts on learning Parallel computing optimizations Publications highlight consistent focus on computer science pedagogy, particularly automated assessment techniques and empirical analysis of student programming behaviors. Recent work emphasizes structural analysis of student-written tests and virtualized grading systems.

• Computer Science Education
• Software Reverse Engineering
• Computer Architecture
• +۳ مورد دیگر

Zohreh Sharafi serves as an Assistant Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. Her academic career bridges software engineering and human cognition, with a specialization in empirical studies of developer behavior using advanced methodologies like eye-tracking and fMRI. She has established herself as a leading researcher in understanding the cognitive processes involved in software development activities and how these processes can be optimized for better productivity and inclusivity. Education: PhD in Computer Engineering from Polytechnique Montréal (Université de Montréal) MASc in Software Engineering from Concordia University B.Sc. in Computer Engineering from the University of Tehran Dr. Sharafi's research interests center on human aspects of software engineering, with particular emphasis on gender studies within development environments and empirical investigations of cognitive processes. Her work examines how developers interact with code through eye-tracking technology, analyzing navigation patterns, comprehension strategies, and the impact of various factors like urgency, reputation, and creativity on programming tasks. This research aims to improve software development tools and processes to make them more productive and inclusive for diverse developer populations. Analysis of her publication record reveals a consistent focus on empirical methodologies in software engineering research, with a clear trajectory from foundational work on eye-tracking applications to increasingly sophisticated investigations of specific development contexts. Her recent publications demonstrate growing interest in creativity in programming, gender differences in code review, and the cognitive impacts of urgency in development workflows - reflecting her commitment to understanding the human factors that influence software engineering productivity and quality. Scientific Recognition: NSERC Postdoctoral Fellowship recipient Fonds de Recherche du Québec Nature et Technologies (FQRNT) Scholarship recipient Dr. Sharafi has actively mentored graduate students, with at least one completed Master's thesis under her supervision on eye-tracking studies of code review. Prior to her academic career, she gained four years of industry experience in financial technology, where she contributed to developing electronic-trading applications for listed securities. This industry background informs her practical approach to research questions that address real-world software development challenges.

• Software engineering
• Human factors engineering
• Information systems design
• +۵ مورد دیگر

Leonardo da Silva Sousa is an Assistant Teaching Professor in the Department of Electrical and Computer Engineering (ECE) at Carnegie Mellon University’s Silicon Valley campus. He holds a Ph.D. in Computer Science from Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), an MSc from Universidade Federal de Goiás, and a BS from Universidade Federal de Mato Grosso. His research focuses on code smells, design problems, refactoring strategies, software architecture, and machine learning applications in software engineering. He has contributed to high-impact venues like FSE and ICSE, and co-developed VazaZika—a platform aiding dengue surveillance via community reporting. His work bridges academic research with real-world societal impact, particularly in public health and environmental systems. Notable research areas include empirical studies on developer practices, collaborative refactoring, and the social aspects of design decay. Despite no listed grants or awards, his publications span software engineering fundamentals and interdisciplinary applications in ecology, agriculture, and healthcare. He is affiliated with NASA Ames Research Center and collaborates on projects addressing global challenges like mosquito-borne disease control and sustainable agriculture. His teaching and research emphasize practical solutions informed by rigorous empirical analysis.

• Code Smells
• Design Problems
• Refactoring
• +۵ مورد دیگر

Luca Ardito is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino. His research focuses on software engineering methodologies, mobile computing, and gamification strategies in education and testing. His work integrates technical domains such as Android development, GUI testing automation, energy efficiency in software systems, and IoT security. Ardito is a core member of the SoftEng research group, contributing to projects like SIFIS-home for privacy-preserving smart home systems. Research Interests: Advanced GUI testing techniques for Android and web applications Application of gamification in software education and quality assurance Energy-aware software development and green computing practices Certification frameworks for IoT device firmware and cybersecurity His recent work emphasizes empirical studies on gamification in UML modeling education, Kotlin adoption in Android ecosystems, and innovative approaches to firmware certification. Ardito has pioneered tools like Umlegend for gamified UML learning and Bipmin for BPMN education. Grants & Collaborations: Leading multidisciplinary projects combining computer science with agriculture (e.g., UAV-based hazelnut tree characterization) Active in industry partnerships for mobile testing frameworks (e.g., TOGGLE library) Labs & Teams: Core contributor to Politecnico's SoftEng Research Group , collaborating on projects like SIFIS-home (FP7/ERC-funded).

• Software Engineering
• Mobile Computing
• Gamification in Education
• +۳ مورد دیگر

Clemens Sauerwein is an Assistant Professor in the Department of Computer Science at the University of Innsbruck , Austria. His academic work spans information security, cyber threat intelligence, and innovative approaches in software engineering education. Position: Assistant Professor Institution: University of Innsbruck Department: Department of Computer Science Office: ICT Building, Room 3S03 Contact: clemens.sauerwein@uibk.ac.at His research is centered on Information Security , particularly cyber threat intelligence sharing , risk management , and organizational security culture . He also investigates Information Systems topics like crowdsourcing and socio-technical systems , and contributes to Security & Software Engineering Education through e-learning , AI integration , and security awareness training . The recent publications reflect a strong trend in empirical studies on threat intelligence platforms, automated programming assessment systems , and AI applications in education . His work combines technical and organizational aspects, often involving global or regional surveys and framework development. Scientific Contributions: Active research in cybersecurity and software engineering education Published in top venues like HICSS, ARES, ICEIS, and CSEE&T Focus on actionable intelligence and educational innovation He actively supervises bachelor’s and master’s theses in computer science and information systems, and leads projects like CySeReS-KMU to support SMEs in cybersecurity. He is involved in developing scalable educational tools and frameworks for learning analytics and AI tutoring. Labs and Teams: While no specific lab name is mentioned, his work is closely tied to empirical research in security and software engineering education, likely within collaborative research groups at the University of Innsbruck.

• Information Security
• Cyber Threat Intelligence Sharing
• Information Security Risk Management
• +۱۴ مورد دیگر

Anders Stengaard Sørensen is an Associate Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), and is affiliated with the SDU UAS Center. His work integrates robotics, digital electronics, and human-centered design for applications in physical training and rehabilitation. Position: Associate Professor Institution: University of Southern Denmark Research Unit: Maersk Mc-Kinney Moller Institute, SDU UAS Center Email: anss@mmmi.sdu.dk ORCID: https://orcid.org/0000-0003-0184-7281 His research interests include robot technology, modular robotics, sensors, programmable digital electronics, and human-robot interaction, with a focus on welfare and rehabilitation technologies. He explores how behavior-driven development and gesture-based programming can empower non-experts to program collaborative robots for physical training. The recent articles highlight a strong trend in end-user development for robotics, particularly in physical training and rehabilitation contexts. The publications emphasize participatory design, gesture-to-behavior translation, and domain-specific languages to make robot programming accessible. The research bridges computer science, engineering, and healthcare, focusing on usability, accessibility, and practical implementation in real-world training scenarios. Anders Stengaard Sørensen has been actively involved in research projects such as RoboRehab and TRINITY, which focus on robot-assisted rehabilitation and interdisciplinary human-technology integration. He has supervised student projects in robotics and electronics and contributes to teaching in regulation technology and programmable electronics. He also engages in public dissemination through media and professional workshops. TriDisciplinary Contexture for Motion, Technology and Humans - TRINITY (Co-PI) The Effect of Robot-Assisted Versus Standard Training on Motor Function Following Subacute Rehabilitation after Ischemic Stroke – RoboRehab (Co-supervisor) Fleksibel Kraftplatform til elite training (Project manager) MeCaMInD: Method Cards for Movement-based Interaction Design (Project participant) FSSoV: Fodbold som sundheds- og velfærdsinnovator (Project participant) He has participated in workshops, public lectures, and media engagements, promoting robotics in societal and health contexts. His collaborative network spans engineering, sports science, and clinical biomechanics, reflecting the interdisciplinary nature of his work.

• Robot Technology
• Modular Robotics
• Sensors and Sensing
• +۱۲ مورد دیگر

David Choffnes is a Professor at Northeastern University's Khoury College of Computer Sciences and Executive Director of the Cybersecurity and Privacy Institute (2021-2023). He is affiliate faculty at the Center for Law, Innovation and Creativity (CLIC). His research spans Distributed Systems, Networking, Privacy, Security, and Mobile Computing , with emphasis on IoT, transparency, and policy-relevant empirical studies. His research has produced software with over 1 million users , including the net neutrality tool Wehe and ReCon for mobile privacy control. He has received major grants like a $10M NSF SaTC Frontier grant and industry support from Google, Comcast, and Verizon. Recent publications focus on smart speaker profiling , data localization , and gig economy privacy risks , with papers accepted at top venues like PETS and IMC. He has won multiple best paper awards and serves on program committees for SIGCOMM, IMC, and IEEE S&P. Awards include the Caspar Bowden PET Runner-Up (2024) IMC Best Paper Award (2023) NSF CAREER (2018) ACM Senior Member (2021) 10M NSF SaTC Frontier grant He advises PhD students like Tianrui Hu (recently graduated), and leads the Mon(IoT)r Lab analyzing IoT privacy and security implications. His work bridges technical solutions with policy debates , collaborating with regulators and legislators.

• Distributed Systems
• Networking
• Privacy
• +۵ مورد دیگر