جستجوی استاد راهنمای دانشگاهی

Bernhard Rumpeمشاهده پروفایل

استاد

• Software Engineering
• Model-Based Software Engineering (MBSE)
• Domain-Specific Languages (DSL)
• +۱۳ مورد دیگر

Bernhard Rumpe is a full Professor at RWTH Aachen University, where he leads the Chair of Software Engineering (Department of Computer Science 3). His research focuses on model-based software and systems engineering (MBSE), domain-specific languages, and generative development techniques to improve software quality and development efficiency. His research interests include: Model-Based Software Engineering (MBSE) Domain-Specific Languages (DSLs) and language workbenches like MontiCore Model-driven digitalization and digital twins Agile integration with formal modeling Applications in embedded systems, AI, automotive, IoT, and cloud systems His team has developed MontiCore, a powerful language workbench used in both academia and industry for creating and processing DSLs, supporting code generation and static analysis. Research projects span theoretical foundations and industrial applications, with over 100 successfully completed projects celebrated recently. The recent publications reflect a strong trend in model-driven engineering, emphasizing formal modeling, automation, and scalability. Key themes include DSL design, variability modeling, digital twins, and integration of MBSE with agile practices. The work bridges theoretical rigor with practical implementation, especially in safety-critical and complex systems. Scientific contributions and leadership are evident through: Founding and leading a major research chair in software engineering Supervising PhD students such as Sage Binder and Brooke Burson Securing and managing over 100 research projects with industrial partners Developing widely used tools like MontiCore He also actively promotes academic careers, inviting applications for PhD and postdoctoral positions in software engineering, including opportunities for habilitation. The research is conducted within the Software Engineering group at RWTH Aachen, which fosters collaboration between students, researchers, and industry partners, focusing on innovation in software development processes and tools.

• Artificial Intelligence
• Advanced Machine Learning
• Conversational AI
• +۶ مورد دیگر

Neena Sathi is a Lecturer in the Department of Information Systems at the Paul Merage School of Business, University of California, Irvine (UCI). She brings over 30 years of industry experience in artificial intelligence, analytics, and automation, and contributes to both academic instruction and applied AI development. Education: MBA, University of Pittsburgh MS in Chemical Engineering, University of Illinois, Chicago MS in Physics, Northwestern University Her research and professional interests center on Artificial Intelligence , Advanced Machine Learning , Conversational AI , and Analytics . She focuses on translating AI prototypes into production systems across industries including healthcare, telecommunications, retail, and public services. Her work emphasizes practical implementation, integration architecture, and cognitive technologies. The selected publications reflect a strong trend in applied AI, spanning venues like AAAI, IEEE, IBM Developer Works, and World of Watson. These works cover subfields such as natural language processing, enterprise AI, cloud integration, and intelligent automation, demonstrating a consistent focus on deploying AI in real-world business and technical environments. Scientific Awards and Certifications: Master Certified Integration Architect (IBM and Open Group) Certified Project Management Professional (PMP) Certifications in Cloud and Cognitive Technologies Neena Sathi has held leadership roles in AI innovation, including as Director at KPMG Lighthouse Labs and Principal at the Applied AI Institute. She develops hands-on training content and interactive solutions for AI and automation topics. While no formal student advising is mentioned, her educational contributions through lectures and training materials indicate a strong pedagogical impact. She is actively involved in AI solution development, bridging academic knowledge with industry application, and drives initiatives in AI integration, digital transformation, and cognitive computing.

• Cloud computing
• Cybersecurity
• Software engineering
• +۸ مورد دیگر

Magne Jørgensen is a Professor at the Department of Computer Science within the Faculty of Technology, Art and Design at Oslo Metropolitan University. His work spans software engineering, estimation methodologies, and benefits management in IT projects. Focus areas: Cloud computing, Cybersecurity, Software process improvement Research interests: Effort estimation accuracy, Cognitive psychology in software development, Public sector IT projects Recent publications highlight trends in software development effort estimation , geological carbon storage forecasting , and public IT project benefits management . His work often emphasizes empirical validation and practical applications. Professor Jørgensen contributes to advancing methodologies for judgment-based predictions and autonomous team practices in large-scale software development contexts.

• Cloud & Fog Computing
• Quality of Service (QoS)
• Scheduling
• +۷ مورد دیگر

Mª Carmen Carrión Espinosa is a Full Professor at the University of Castilla-La Mancha (UCLM) with a career spanning over 25 years. She teaches Computer Architecture in undergraduate and postgraduate programs and coordinates the bilingual Computer Engineering degree, which holds the Euro-Inf Bachelor quality award. Her research focuses on Fog computing, blockchain integration, and distributed systems management. University of Castilla-La Mancha - Full Professor (Computer Architecture) University of Cantabria - PhD in Physical Sciences Her research explores low-cost Fog infrastructures, container-based virtualization, and secure distributed architectures. Recent work includes federated learning on constrained devices and Kubernetes scheduling innovations. She has supervised 5 PhD and 15 Master's theses and contributed to 25 JCR-indexed publications. Key research trends include: Blockchain for fault-tolerant IoT systems Hybrid cloud-Fog resource orchestration Energy-efficient scheduling algorithms Educational technology innovations Scientific Awards: Extraordinary Degree Prize (1992) Euro-Inf Bachelor Quality Certification Active IEEE membership She leads the High Performance Networks and Architectures research group and has participated in 24 major projects, including CONSOLIDER-INGENIO 2010 as Task Leader. Her work bridges technical innovation with pedagogical excellence in cloud computing education.

Leopoldo Teixeiraمشاهده پروفایل

استادیار

• Software Engineering
• Refactoring
• Formal Methods
• +۶ مورد دیگر

Leopoldo Teixeira is an Assistant Professor at the Informatics Center (CIn) of the Federal University of Pernambuco (UFPE) in Brazil. Since May 2023, he has served as Head of Graduate Studies at his department. He leads the Software Testing and Analysis Research group and is affiliated with the Software Productivity Group and CIn-Trust. Dr. Teixeira was a CAPES-Alexander von Humboldt Experienced Research Fellow at the Chair of Software Engineering of Universität des Saarlandes in 2022, where he collaborated with Sven Apel on variability analysis over time and space. His educational background includes: PhD in Computer Science from Federal University of Pernambuco (CIn-UFPE, 2014), supervised by Paulo Borba and Rohit Gheyi MSc in Computer Science from CIn-UFPE (2010) Bachelor's degree in Computer Engineering from the Polytechnic School of Pernambuco (2007) Dr. Teixeira's research focuses on providing strong foundations for improving software quality and productivity. His work spans software product lines, configurable systems, refactoring, formal methods, software testing, and mobile development. He has made significant contributions to understanding challenges in highly configurable systems and software evolution, with particular emphasis on theoretical rigor combined with practical applicability. His publication record demonstrates expertise across software testing methodologies, analysis of configurable systems, and formal verification techniques. Recent work addresses pressing challenges in containerization practices (Dockerfile repair), test reliability (flaky test detection), and formal specification of API properties, showing his ability to tackle both theoretical and practical aspects of software engineering. Dr. Teixeira has received recognition through the CAPES-Alexander von Humboldt Experienced Research Fellowship. CAPES-Alexander von Humboldt Experienced Research Fellow (2022) Dr. Teixeira actively contributes to the software engineering community through extensive service on program committees of major conferences including ICSE, FSE, ASE, and SPLASH across multiple years. In 2024, he served as Conference and Local Organization Chair for FSE. He mentors students through his leadership of the Software Testing and Analysis Research group at CIn-UFPE. His laboratory work focuses on software testing and analysis, particularly in the context of configurable systems and software product lines. The research group investigates practical approaches to improve software quality through better testing methodologies, analysis techniques, and formal verification approaches for complex software systems.

Anil Madhavapeddyمشاهده پروفایل

استاد

• Planetary Computing
• Computer Systems
• Programming Languages
• +۷ مورد دیگر

Anil Madhavapeddy is the Professor of Planetary Computing at the University of Cambridge Computer Laboratory, where he co-leads the Energy & Environment Group and is a member of the Systems Research Group. He is also a Fellow at Pembroke College where he serves as Director of Studies in Computer Science. Madhavapeddy completed his PhD from the University of Cambridge in 2003 and his BEng in Information Systems Engineering from Imperial College in 1999. He holds a JM Keynes Fellowship since 2022 for his work combining computer science with economics, and serves on the management committee of the Cambridge Conservation Initiative where he co-directs 4C (Cambridge Centre for Carbon Credits) and the Centre for Earth Observation. His research spans computer systems and programming languages with a strong focus on applying these technologies to global conservation, biodiversity, and climate change challenges. He leads the OCaml Labs group and has made significant contributions to open-source projects including OCaml, Docker, Xen, and OpenBSD. His work often bridges computer science with environmental science, developing computational approaches to address planetary-scale challenges. Madhavapeddy's recent publications demonstrate a clear trajectory toward integrating programming language research with environmental monitoring and conservation. His work spans from foundational programming language techniques to applied geospatial computing systems, with increasing emphasis on biodiversity measurement, carbon credit systems, and planetary-scale environmental monitoring. JM Keynes Fellowship (2022-present) As an educator, Madhavapeddy teaches undergraduate courses including Foundations of Computer Science, Software & Security Engineering, and Cloud Computing. He mentors MPhil and PhD students and co-founded the award-winning book 'Real World OCaml' (2nd Edition, 2022). He has co-founded several companies including Unikernel Systems, High Energy Magic, Segfault, and Tarides to translate research into real-world impact. Madhavapeddy leads the OCaml Labs group at Cambridge and works closely with the Energy & Environment Group, collaborating with colleagues from Plant Sciences, Zoology, Economics, and NGOs including UNEP-WCMC and the IUCN. His current efforts are primarily focused on conservation technology through partnerships with organizations like Canopy PACT.

Mustafa ULAŞمشاهده پروفایل

استادیار

• Data Mining
• Big Data
• Machine Learning
• +۷ مورد دیگر

Mustafa ULAŞ is an Assistant Professor in the Software Engineering Department at Fırat University, Turkey. He also serves as a University Advisor and Coordinator of the Digital Transformation and Software Office at Fırat University since October 2020. With academic roots entirely at Fırat University, he has established himself as a prominent researcher in data science and software engineering. Born in November 1981 in Elazığ, Turkey PhD in Electrical-Electronics Engineering (2011) Master's in Computer Engineering (2006) Bachelor's in Electrical-Electronics Engineering (2003) Dr. ULAŞ's research spans multiple domains of computer science and engineering with particular emphasis on practical applications. His work bridges theoretical computer science with real-world problems in healthcare, finance, and industrial systems. Recent publications reveal a strong focus on machine learning applications, especially in medical diagnostics and explainable AI, while maintaining his longstanding interest in VLF signal analysis for earthquake prediction. His publication record shows a clear evolution from foundational work in database systems and medical imaging to cutting-edge research in deep learning and explainable AI. The most recent articles (2024-2025) predominantly focus on healthcare applications of machine learning, particularly diabetes and cancer diagnosis, while maintaining parallel research streams in industrial applications, financial analytics, and drone network optimization. This multidisciplinary approach demonstrates his ability to adapt core computational techniques to diverse problem domains. Dr. ULAŞ has been actively involved in numerous research projects, including TÜBİTAK-funded initiatives such as the 'Enriched Virtual Laboratory' and 'A New Approach in Teacher Education: Effective Blended Learning.' His project portfolio spans infrastructure development, educational technology, and advanced research applications. As an educator, he teaches courses including C Programming and Algorithms, Internet-Based Programming, Server Operating Systems, and Web Project Management. His administrative roles include serving as University Advisor and Coordinator of the Digital Transformation and Software Office at Fırat University since 2020.

Istvan Davidمشاهده پروفایل

استادیار

• Digital Twins
• Model-Driven Engineering
• Sustainability
• +۷ مورد دیگر

Istvan David is an Assistant Professor of Software Engineering at McMaster University's Faculty of Engineering, Department of Computing and Software, where he leads the Sustainable Systems and Methods Lab (SSM) and works as a researcher in the McMaster Centre for Software Certification (McSCert). His work bridges the gap between model-driven engineering, digital twins, and sustainability in systems engineering. Dr. David's research interests focus on digital twins , model-driven engineering , sustainability in computing, cyber-physical systems , and collaborative modeling . His lab develops novel reinforcement learning techniques , digital twin architectures , and modeling and simulation methods with a strong emphasis on sustainability as both a system characteristic and an engineering principle. His recent publications reveal a strong trend toward integrating digital twin technology with sustainability concerns, particularly in automotive systems, smart farming, and resource-efficient software engineering. The research spans from foundational modeling techniques to applied solutions addressing the four essential sustainability dimensions of technical systems: technical (long-term usage), economic (financial viability), environmental (reduced impact), and social (elevated utility). Scientific Awards: Best Practice Paper Award at MODELS Best Paper 2024 Runner-up in the Journal of Computer Languages Dr. David actively mentors students including PhD candidate Xiaoran (Sharon) Liu, and has supervised undergraduate researchers like Adwita Kashyap and Kyanna Dagenais. He has secured multiple research grants supporting work on sustainable systems and digital twin technologies, with applications in automotive engineering, smart farming, and resource-efficient computing. His lab collaborates with industry partners and academic institutions worldwide, including VU Amsterdam and University of Montréal. The Sustainable Systems and Methods Lab focuses on the vision of 'sustainable systems by sustainable methods,' addressing the growing problem of unsustainable systems engineering practices. The lab's work on bipartite sustainability aims to both build sustainable systems and develop systems using sustainable methods.

Mohammad Hamdaqaمشاهده پروفایل

دانشیار

• Model-Based Software Engineering
• Blockchain
• Smart Contracts
• +۶ مورد دیگر

Mohammad Hamdaqa is an Associate Professor at the Department of Computer Engineering and Software Engineering at Polytechnique Montréal (Canada), where he leads the Software and Emerging Technologies Lab. He received his PhD in Software Engineering from the University of Waterloo in Canada in 2016 and holds multiple advanced degrees including a Master of Applied Science in Software Engineering and an MBA with a minor in Management Information Systems. His educational background includes: Ph.D. in Electrical and Computer Engineering, University of Waterloo, Canada Master in Electrical and Computer Engineering, Concordia University, Canada Master in Business Administration, New York Institute of Technology, USA Bachelor in Computer Engineering, Jordan University of Science and Technology, Jordan Dr. Hamdaqa's research focuses on the intersection of software engineering and emerging technologies. His work explores how software engineering approaches can be tailored to address the complexities of architecting, building, and deploying applications for new platforms like Cloud Computing and Blockchain. He is particularly interested in how emerging technologies can advance software creation, evolution, and management practices. His research spans model-driven software engineering, cloud computing, blockchain, and the application of AI in software development processes. His recent publications demonstrate a strong focus on smart contract security, infrastructure as code, model-driven engineering, and the application of large language models in software engineering tasks. His work bridges theoretical software engineering concepts with practical applications in cutting-edge technology domains, with particular emphasis on addressing security, sustainability, and maintainability challenges in next-generation software systems. Dr. Hamdaqa has received recognition through service on program committees for major software engineering conferences including ASE, ICSE, MODELS, and SANER. He serves on the editorial board of Service Transactions on Internet of Things and is a Member of the IEEE Computer Society and the Association for Computing Machinery. He has supervised multiple Master's students to completion, with recent theses focusing on OCL generation, smart contract auditing, epidemiological modeling, and infrastructure as code security. His current research group continues to explore innovative approaches at the intersection of software engineering and emerging technologies. Dr. Hamdaqa leads the Software and Emerging Technologies Lab at Polytechnique Montréal, which brings together researchers and students to investigate cutting-edge challenges in software engineering for new technology platforms. The lab focuses on practical solutions that balance theoretical rigor with real-world applicability.

Ali Mesbahمشاهده پروفایل

استاد

• Software Engineering
• AI-driven Software Analysis
• Software Testing
• +۵ مورد دیگر

Ali Mesbah is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia (UBC), where he leads the SALT lab. His research focuses on software engineering with emphasis on AI-driven software analysis, software testing, and software evolution. Previously, he was a Visiting Research Scientist at Google during 2017-2018. Dr. Mesbah received his BSc/MSc (2003) and PhD (2009) degree cum laude in Computer Science from the Delft University of Technology (TUDelft). After completing a postdoctoral fellowship with the Software Engineering Research Group at TUDelft and a Visiting Researcher position at Fujitsu Laboratories of America, he joined UBC in 2011. His research interests span software engineering with particular focus on AI-driven software analysis, software testing, software evolution, program comprehension, fault localization and repair. His work has significant applications in web application testing, JavaScript analysis, and automated program repair. He has pioneered techniques for testing modern web applications, analyzing JavaScript code, and leveraging AI for software maintenance tasks. His recent publications demonstrate a clear evolution toward integrating large language models with traditional program analysis techniques, focusing on test generation, bug repair, and understanding multi-hunk patches. His work bridges theoretical software engineering concepts with practical applications, particularly in web technologies and AI-assisted development. Amazon Research Award (2023) Killam Accelerator Research Fellowship (KARF) (2020) Killam Faculty Research Prize (2019) NSERC Discovery Accelerator (DAS) award (2016) ACM Distinguished Paper Awards at ICSE (2009, 2014) IEEE Distinguished Paper Award at ICST (2018) Best Paper Award at ESEM (2015) Best Paper Award at ICWE (2013) Dr. Mesbah has advised numerous PhD and MASc students, many of whom have gone on to positions at leading technology companies including Google, Amazon, Apple, Microsoft, and SAP. His research has been supported by various grants including the Amazon Research Award and NSERC funding. He leads the SALT lab at UBC, which focuses on software analysis, testing, and learning, with current research directions including AI-driven software engineering, web application testing, and program repair. The lab maintains active collaborations with industry partners and academic institutions worldwide.

Mohammad Adnan Hamdaqaمشاهده پروفایل

دانشیار

• Model-Based Software Engineering
• Cloud Computing
• Blockchain
• +۴ مورد دیگر

Mohammad Adnan Hamdaqa is an Associate Professor at the Department of Computer Engineering and Software Engineering at Polytechnique Montréal (Canada), where he leads the Software and Emerging Technologies Lab. He holds a Ph.D. in Software Engineering from the University of Waterloo (2016), along with a Master's in Electrical and Computer Engineering from Concordia University, an MBA from New York Institute of Technology, and a Bachelor's in Computer Engineering from Jordan University of Science and Technology. His research focuses on the intersection of emerging technologies and software engineering, particularly how software engineering approaches can be adapted for new platforms like Cloud Computing and Blockchain. His work spans model-driven software engineering, cloud applications, and blockchain technologies. Analysis of his recent publications reveals a strong emphasis on blockchain technology, especially smart contracts and Ethereum, with significant work on security, evolution, and visualization of these systems. His research also demonstrates growing integration of large language models in software engineering tasks, particularly for model specification and code generation. There's also a notable thread of work on sustainability in infrastructure as code and security practices across cloud platforms. Hamdaqa actively contributes to the academic community as a member of IEEE Computer Society and ACM, and has served on program committees for numerous conferences in software engineering and services communities. He has successfully supervised multiple Master's students, with recent theses focusing on smart contract auditing, epidemiological modeling using model-driven approaches, and security practices in infrastructure as code. His lab maintains active research in both theoretical and applied aspects of software engineering for emerging technologies.

• Software Evolution
• Empirical Software Engineering
• Domain-Specific Languages
• +۲ مورد دیگر

Thomas Degueule is a researcher at CNRS (Centre National de la Recherche Scientifique) in France, actively contributing to software engineering research since 2015. He serves on program committees for major conferences including ASE, ICSE, and SLE, with primary research interests in Software Evolution, Empirical Software Engineering, and Domain-Specific Languages. His work focuses on breaking change analysis in APIs and libraries, client-library compatibility testing, and dependency management. He develops practical tools like Roseau for source-based breaking change detection and investigates semantic versioning impacts in ecosystems like Maven Central. His empirical approach leverages large-scale repository analysis to address real-world software maintenance challenges, particularly in Java ecosystems. Recent publications (2023-2025) show consistent contributions to breaking change analysis and compatibility testing, appearing in top venues like ASE, ICSE, and ISSTA. His research bridges theoretical insights with practical tooling for software evolution challenges, demonstrating strong empirical methodology and tool-oriented contributions. No scientific awards are documented in the available information. Degueule has advised no publicly listed students and holds no mentioned research grants. His organizational roles include Program Co-Chair for SLE 2023 and committee positions across multiple conferences, reflecting significant service to the software engineering community.