جست‌وجوی استاد و پژوهشگر

Andrea Arcuriمشاهده پروفایل

استاد

• Automated Software Testing
• Search-based Software Engineering
• Enterprise Software Development
• +۷ مورد دیگر

Professor Andrea Arcuri is a leading academic in software engineering at Kristiania University College (formerly Westerdals), Oslo, where he has been a full-time Professor since October 2016 and leads the AISE (Automated Intelligent Software Engineering) lab. Additionally, he holds a part-time Adjunct Professor position at Oslo Metropolitan University (OsloMet) since 2020. His research interests revolve around Automated Software Testing and Search-based Software Engineering , with a focus on tools like EvoMaster (for system-level testing) and EvoSuite (for Java unit testing). His work integrates testing, security, and development practices for enterprise systems, particularly using SpringBoot , Kotlin , and Docker technologies. He has contributed to open-source educational materials on enterprise development, testing, and security, including courses PG5100 and PG6100 at Kristiania University College. His publications emphasize practical applications, such as cloud deployment, microservice architectures, and secure coding practices. Notable awards include: ACM SIGSOFT Impact Paper Award (2023) ICST 10-Year Most Influential Paper (2022) ICSE 10-Year Most Influential Paper (2021) Best Paper Awards at SSBSE (2017, 2015) IEEE Software Award (2017) ACM Distinguished Paper Awards (ASE 2015, ISSTA 2010) Best PhD Paper at SBST (2008) Professor Arcuri supervises PhD candidates and postdocs in automated testing and software quality, while actively serving on program committees for top journals and conferences. He advocates for hands-on learning through his open-source educational repository, which emphasizes Docker integration and practical examples for enterprise systems.

Rüdiger Wilhelmiمشاهده پروفایل

استاد

• Civil Law
• Commercial and Corporate Law
• Business Law
• +۳ مورد دیگر

Rüdiger Wilhelmi is a Professor at the Department of Law, University of Konstanz, focusing on civil law, commercial and corporate law, business law, and comparative law. He is also the Director of the Institute for Legal Research and Vice Rector for Academic Affairs since 2024. His research spans liability law, family and inheritance law, and Legal Tech. Professor, Department of Law, University of Konstanz (since 2010) Director, Institute for Legal Research (since 2012) Vice Rector for Academic Affairs (since 2024) Principal Investigator, Cluster of Excellence "The Politics of Inequality" (since 2019) His work emphasizes comparative legal analysis across jurisdictions like the USA, UK, and Netherlands, with a focus on patent law , financial regulation , and digitalization of law . Publications include monographs on capital maintenance in GmbH law, environmental liability, and EMIR regulation. He has contributed extensively to legal commentaries and handbooks. Wilhelmi's lectures and conferences address topics like AI liability , multi-party arbitration , and banking regulation . He co-edits volumes on legal digitalization and participates in interdisciplinary workshops on topics like "Banking beyond Banks" and "Diversity in Financial Markets".

• Artificial Intelligence
• Multi-agent Systems
• Decision Support Systems
• +۳ مورد دیگر

Luís Manuel da Silva Conceição is an Assistant Professor at the Polytechnic Institute of Porto's School of Engineering, affiliated with the Department of Computer Engineering. He concurrently serves as a Researcher at GECAD (Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development), an FCT-rated Excellent research unit. His academic credentials include a PhD in Computer Science (2023) from the University of Minho, a Master's (2017) and Bachelor's (2014) in Computer Engineering from ISEP. Conceição's research focuses on Artificial Intelligence with specialization in multi-agent systems, decision support systems, and natural language processing. His applied research spans Industry 4.0 and Healthcare domains, including AI solutions for vascular disease management and e-commerce innovation. He coordinates the international REMO project and has participated in Horizon Europe, H2020, ITEA, FCT, and P2020 projects as PI/co-PI. His recent publications demonstrate strong trends in health informatics (remote patient monitoring, federated learning, digital mental health) and decision support systems (argumentation dialogues, sentiment analysis, distributed consensus). Industrial applications feature prominently, especially in predictive maintenance and human-computer interaction for e-commerce. Awards: ITEA Award of Excellence Innovation (2024) for research impact in health technology Conceição actively supervises graduate researchers: currently mentoring 9 master's students , 4 undergraduate students , and co-supervising 2 PhD candidates . His industry collaborations involve applying AI to real-world challenges through joint R&D projects with technology centers. At GECAD, he contributes to intelligent systems research infrastructure and promotes ethical AI through public lectures and roundtables.

• Data Science
• Machine Learning
• Safety Machine Learning
• +۹ مورد دیگر

Tareq Al Jaber is an Assistant Professor in Computer Science at the School of Computer Science & DAIM (Data Science, AI and Modelling Centre), University of Hull. With over 13 years of teaching experience, he has instructed more than 2,000 hours at the MSc level and over 1,000 hours at the BSc level in Computer Science, Data Science, and Artificial Intelligence. His educational background includes: BSc in Computer Science from University of Hull MSc in .NET Distributed Systems Development from University of Hull PhD in Computer Science (An evaluation framework and selection tool for education apps usability, with a case study from health education apps) from University of Hull Dr. Al Jaber's research focuses on the intersection of Data Science, Machine Learning, and Healthcare applications. His work particularly emphasizes Mobile Health (mHealth) applications, usability evaluation, and the application of AI in educational contexts. He has published extensively on topics including machine learning for health tracking, usability of mobile health apps, AI ethics in education, and the application of data science in healthcare. His recent publications demonstrate a strong trend toward applying machine learning techniques to health monitoring and mobile applications, with particular attention to usability factors and ethical considerations in AI systems. The research spans multiple disciplines including computer science, healthcare informatics, and educational technology. Professional recognition includes: Fellow of the Higher Education Academy (FHEA) Guest Editor for Plos One journal Editor for Engineering Applications of Artificial Intelligence journal Member of the British Computer Society Dr. Al Jaber has supervised over 300 MSc and 200 BSc dissertation projects in Computer Science, Data Science, and Artificial Intelligence. He teaches modules across all levels, from undergraduate to postgraduate, including "Fundamentals of Data Science," "Big Data and Data Mining," "Programming for Artificial Intelligence," and other AI and Data Science courses. His teaching and research activities are closely aligned with the Data Science, AI and Modelling Centre at the University of Hull, where he contributes to advancing knowledge in machine learning applications for health and education.

Zeynep Sağırمشاهده پروفایل

استادیار

• Expert Systems
• Decision Support Systems
• Intelligent Systems
• +۳ مورد دیگر

Dr. Zeynep Sağır is an Assistant Professor in Computer Sciences and Engineering at the International University of Sarajevo. She serves as the Erasmus Coordinator for multiple engineering programs, including Software Engineering, Computer Science and Engineering, and Artificial Intelligence and Data Engineering. PhD, Occupational Safety (2021) - Marmara University Master of Science, Industrial Engineering (2009) - Technical University of Vienna Bachelor of Science, Software Engineering (2007) - Technical University of Vienna Her research focuses on expert systems and decision support systems applied to occupational safety , with particular emphasis on accident analysis models and intelligent systems for risk management. She also explores total quality management applications in safety engineering contexts. Dr. Sağır's publications demonstrate interdisciplinary expertise spanning machine learning approaches for risk assessment (2024), smart city infrastructure development (2023), and knowledge engineering applications for accident prevention (2022). Her work addresses both technical implementation challenges and safety policy considerations across multiple domains.

• Industrial Engineering
• Operations Management
• Lean Methodologies
• +۷ مورد دیگر

Ana Dias Martins is an Adjunct Assistant Professor at Instituto Politécnico de Lisboa, affiliated with the Advertising and Marketing section. Her research spans industrial engineering, operations management, and innovation, with a focus on Lean methodologies, Agile frameworks, and sustainability in innovation ecosystems. She has published extensively on risk assessment, product development, and simulation modeling. Fields of Interest : Industrial Engineering, Lean Management, Product Development, Risk Assessment, Sustainability, Agile Methodologies, Simulation Modeling, Collaborative Networks, Six Sigma, and Digital Transformation Email : amartins@escs.ipl.pt Her recent work examines Industry 4.0 maintenance systems, Lean logistics, and socio-economic impacts of disease. She integrates TRIZ and Kano models for process optimization and develops frameworks for collaborative risk assessment in SMEs and logistics networks. Her publications highlight trends in open innovation , sustainable systems , and digital transformation , with subfields including Agile team allocation, fuzzy logic applications, and simulation-based decision support. She applies these methodologies across sectors like electrical systems, food industry, and naval operations.

Richard J. Sobelsohnمشاهده پروفایل

استاد مدعو

• Real Estate Law
• Sustainable Building Law
• Commercial Leasing Law
• +۲ مورد دیگر

Richard J. Sobelsohn serves as Adjunct Professor of Law at Brooklyn Law School, Benjamin N. Cardozo School of Law, Columbia Law School, and Fordham University School of Law while holding the position of Vice President, Legal at Cohen Brothers Realty Corporation. With nearly 25 years of legal practice, he specializes in sustainable building law and has co-led Brooklyn Law School's Master's program in Sustainability, Future Cities and the Law since its inception. His academic credentials include a J.D. from Brooklyn Law School and an A.B. from Colgate University, forming the foundation for his expertise in real estate transactions, green building compliance, and climate change regulation. Sobelsohn's research centers on the legal frameworks governing sustainable real estate development, with particular emphasis on green leasing innovations, condominium/cooperative law adaptations during crises, and renewable energy integration in commercial properties. His work bridges theoretical legal analysis with practical implementation strategies for energy efficiency and environmental compliance, establishing him as a recognized authority in sustainable building law. Analysis of his 15 most recent publications (2011-2020) reveals consistent focus on evolving green leasing standards, pandemic impacts on housing law, and technical compliance requirements for LEED/Green Globes certification. Key trends include shifting from capital expenditure debates to operational sustainability metrics and addressing greenwashing risks in commercial real estate. His professional recognition includes: Green Globes Professional certification LEED Accredited Professional status Life Fellowship in the American Bar Foundation Fellowship in the American College of Real Estate Lawyers Through his teaching roles across four law schools and industry leadership at Cohen Brothers Realty, Sobelsohn mentors future practitioners in real estate law while actively shaping sustainable development practices. His recent work includes developing LexisNexis practice resources and authoring the "Ultimate Green Playbook for Condos and Coops" alongside his academic publications. Professor Sobelsohn collaborates extensively with industry organizations including the American College of Real Estate Lawyers and contributes to legal practice innovation through his dual academic-industry roles, though no dedicated research laboratory is associated with his work.

Meng Wangمشاهده پروفایل

استاد

• Programming Languages
• Functional Programming
• Bidirectional Programming
• +۲ مورد دیگر

Dr. Meng Wang is a Professor at the School of Computer Science, University of Bristol, where he leads the Programming Languages Research Group. His career includes prior roles as a Lecturer at University of Kent and Assistant Professor at Chalmers University of Technology. Current Affiliation: University of Bristol Past Affiliation: University of Kent Past Affiliation: Chalmers University of Technology Research interests center on applying theoretical rigor to practical programming, with a focus on designing languages and tools for software development and testing. Key areas include: Bidirectional Programming Functional Programming Software Testing Type Systems Embedded Languages Publication trends show a strong emphasis on bidirectional programming, functional language design, and compiler techniques. His recent work explores large language model applications in code translation and formal verification of refinement types in object-oriented systems. Supervision and team leadership include mentoring 12 current PhD students and 1 Research Associate, while past mentees include notable researchers who have transitioned to industry and academic roles. He has organized workshops like VeTSS summer school and co-chaired PEPM 2024, demonstrating active community engagement.

Ahmed Bouabdallahمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Network Security
• Internet of Things (IoT)
• +۱۳ مورد دیگر

Ahmed Bouabdallah is a full-time researcher at IMT Atlantique's Department of Network Systems, Cybersecurity and Digital Law , with a focus on advanced network security solutions and distributed systems. His work bridges theoretical frameworks with practical implementations in emerging technologies. Key research areas: Cybersecurity, Internet of Things, Software Defined Networking Academic collaborations: Aalborg University, Inria, CNRS, Orange Labs His recent publications analyze AI-driven Kubernetes scaling, malware propagation in 5G networks, and WoT (Web of Things) security architectures. These works demonstrate his expertise in balancing operational costs with Quality of Service (QoS) requirements. From 2015 to 2024, his research trajectory shows increasing specialization in: Container orchestration security Intent-based network mitigation Microservices synchronization Smart space access control Emergency response systems Real-time policy evaluation While no formal academic awards are listed, his publications in Journal of Ambient Intelligence , IEEE , and Sensors indicate significant industry and academic impact.

Wenchao Guمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Software Engineering
• Computational Linguistics
• +۵ مورد دیگر

Dr. Wenchao GU is a Postdoctoral Researcher at the Chair of Software Engineering & AI at the Technical University of Munich (TUM) , working under the supervision of Prof. Chunyang Chen. His academic journey includes a PhD in Computer Science and Engineering from The Chinese University of Hong Kong (CUHK) (2024), an MSc in Information Science from Tohoku University (2017), and a B.Eng in Mechanical and Aerospace Engineering from Tohoku University (2015). Research Interests: Dr. GU's work focuses on Artificial Intelligence for Software Engineering (AI4SE) , leveraging Large Language Models (LLMs) to advance source code understanding, analysis, and generation. Key areas include code optimization , vulnerability detection , and UI code generation . His research bridges theoretical innovations with practical tools for automated code efficiency improvement, semantic code retrieval, and natural language generation in software development workflows. Publication Trends : His recent work emphasizes iterative LLM refinement via evolutionary search (2025), segmented deep hashing for scalable code retrieval (2025), and contrastive learning in code search (2023). Earlier studies explored AST-guided transformers for code summarization (2022) and semantic dependency learning in code retrieval (2021). Scientific Awards: Distinguished Paper Award, ICSE 2025 The Aoba Foundation Scholarship (2015) JASSO Scholarship (2012) Tohoku University President Fellowship (2012) Mentorship: Dr. GU supervises 11 current students (including 1 PhD) and has advised 5 graduated Master's students. He actively seeks candidates with web/Android development expertise for UI code generation projects.

• High-Performance Computing
• Astrophysical Simulations
• Computational Fluid Dynamics
• +۳ مورد دیگر

Johannes Pekkilä is a Doctoral Researcher in the Department of Computer Science at Aalto University, Finland. His research focuses on high-performance computing and GPU-accelerated simulations for astrophysical and fluid dynamics applications. University: Aalto University Department: Computer Science Academic Rank: Researcher His work includes optimizing stencil computations, developing magnetohydrodynamic turbulence models, and creating open-source simulation tools like the Pencil Code and Astaroth. Recent publications highlight GPU acceleration strategies for astrophysical simulations and scalable communication in parallel computing environments. Johannes contributes to advancements in computational physics through collaborations on large-scale dynamo interactions, solar magnetism studies, and CUDA-aware MPI implementations. His research spans numerical methods, computational efficiency, and multi-user code maintenance frameworks. Contact: johannes.pekkila@aalto.fi

• Systems Control
• Embedded Software Design
• Embedded Systems Performance Analysis
• +۵ مورد دیگر

Fouad KHENFRI is a Professor and researcher at ESTACA (Ecole Supérieure des Techniques Aéronautiques et de Construction Automobile) , specializing in embedded systems and control engineering. He holds a PhD in Computer Science and Applications from the University of Nantes (2016), a Master's in Automatic Control from EMP Algiers (2011), and an Engineering Degree in Automation from the University of Biskra (2008). Key research areas: Systems Control, Embedded Software Design, and Artificial Intelligence Recent publications focus on UAV control systems, Neural Architecture Search, and energy optimization Supervising doctoral students on topics including drone development and deep learning applications

Laura Carnevaliمشاهده پروفایل

دانشیار

• Formal Methods
• Real-Time Systems
• Performance Evaluation
• +۴ مورد دیگر

Laura Carnevali is an Associate Professor of Computer Science at the Department of Information Engineering, University of Florence, where she leads research in formal methods and performance evaluation as a member of the Software Technologies Lab. She teaches Software Engineering for Embedded Systems, Quantitative Evaluation of Stochastic Models, and Foundations of Computer Programming at the School of Engineering. Her research focuses on formal methods for real-time software development and performance evaluation of non-Markovian models, with significant contributions to the ORIS Tool for quantitative system analysis. Key areas include: Stochastic modeling of critical infrastructure Formal verification of real-time systems Reliability engineering methodologies Performance evaluation of cyber-physical systems Her publications show strong emphasis on applied formal methods, with recent work focusing on workflow analysis, infrastructure reliability, and transportation systems modeling. Research consistently integrates theoretical frameworks with practical applications in engineering domains. Awards include: Best Paper Award at ICPE 2021 She actively contributes to academic service as program committee member for leading conferences including FORMATS, QEST, and EPEW, and serves as reviewer for IEEE Transactions on Software Engineering, Reliability, and other prestigious journals.

Richard M. Voylesمشاهده پروفایل

استاد

• Robotics
• Wireless Control Networks
• Dexterous Hexrotor
• +۱۱ مورد دیگر

Richard M. Voyles is the Daniel C. Lewis Professor of Engineering Technology at Purdue University's Polytechnic Institute with a courtesy appointment in the Department of Computer and Information Technology. He serves as Director of the Robotics Accelerator and Head of the Collaborative Robotics Lab. Prior to his full-time return to Purdue, he served as Assistant Director of Robotics and Cyber-Physical Systems at the White House Office of Science and Technology Policy and previously led the National Robotics Initiative at the National Science Foundation. Dr. Voyles holds a B.S. in Electrical Engineering from Purdue (1983), an M.S. in Manufacturing Systems Engineering from Stanford (1989), and a Ph.D. in Robotics from Carnegie Mellon (1997). His research spans multiple domains of robotics including rescue robotics, UAV development, gesture-based programming, cyber-animal systems, and self-adaptive robotic systems. He has received numerous honors including being named an IEEE Fellow and receiving Purdue's 'Seeds for Success' Award. His research output demonstrates significant contributions across robotics theory and application, with particular emphasis on novel robot designs like the MOTHERSHIP robot for urban search and rescue, the Dexterous Hexrotor for physical interaction with environments, and the development of the ReFrESH architecture for self-adaptive robotic systems. His work has been supported by NSF through multiple grants including the NSF Center for Robots and Sensors for the Human Well-Being (RoSe-HUB). Dr. Voyles has advised numerous graduate students who have gone on to academic and industry positions, including several who have become professors at other institutions. His research has resulted in significant publications across major robotics conferences and journals, with recent work focusing on nuclear decommissioning applications, neuromorphic computing for robotics, and advanced UAV capabilities. Daniel C. Lewis Professor IEEE Fellow Purdue 'Seeds for Success' Award As an educator, Dr. Voyles teaches courses in robotics, real-time computer vision, and cyber-animal systems. He has been instrumental in developing new MS and PhD degrees in Robotics Technology at Purdue, set to launch in Fall 2024. His lab, the Collaborative Robotics Lab, maintains strong industry partnerships through the RoSe-HUB center, working with numerous companies on applied robotics research.

Jules Dejaeghereمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Distributed Networks
• Anonymous Communication
• +۳ مورد دیگر

Jules Dejaeghere is a Researcher at the Faculty of Computer Science, University of Namur, working within the Namur Digital Institute. They hold an ORCID ID (0000-0002-4970-3730) and have established research expertise in cybersecurity with particular focus on distributed networks and privacy-enhancing technologies. Research interests include: Cybersecurity Distributed Networks Anonymous Communication WebAssembly Traffic Analysis Computer Security Dejaeghere's publication portfolio demonstrates evolving expertise in privacy technologies, with recent work focusing on merging traffic for improved privacy, flexible anonymous networks, and security comparisons between emerging technologies like eBPF and WebAssembly. Their research consistently addresses the tension between privacy requirements and system performance in networked environments. Currently active in the CYBEREXCELLENCE project (2022-2027), a cybersecurity excellence initiative within the Walloon Region plan, Dejaeghere contributes research focused on security tools development and computer code analysis. The project shows strong alignment with their expertise in security (100%), tools (80%), and computer codes (73%). Professional activities include presentations at the 23rd Workshop on Privacy in the Electronic Society (2024), the Belgium-Netherlands Software Evolution Workshop (2024), and upcoming participation in the Next Generation Internet Forum 2025, demonstrating active engagement in the cybersecurity research community.