جست‌وجوی استاد و پژوهشگر

Amina Souagمشاهده پروفایل

مدرس

• Artificial Intelligence
• Requirements Engineering
• Ontologies
• +۴ مورد دیگر

Amina Souag serves as a Lecturer in Computing within the Computing, AI and Cyber Security department of Canterbury Christ University's School of Engineering, Technology and Design. She holds module leadership for core courses including Artificial Intelligence, Computational Thinking, Big Data Databases, and Advanced Database Systems. Dr. Souag earned her PhD from Paris 1 Panthéon-Sorbonne University's Research Centre in Computer Sciences (2011-2015) with funding from the French Ministry of Higher Education and Research. Her doctoral research developed an artificial intelligence ontology-based and rule-based methodology for requirements engineering, followed by post-PhD work at Paris 1 Sorbonne evaluating pattern-based requirements techniques and applying ontological frameworks to digital humanities. Her research integrates Artificial Intelligence with Requirements Engineering through ontology-driven approaches, extending into Knowledge Engineering applications for Digital Humanities and contemporary Big Data systems. This interdisciplinary work bridges computational theory with practical engineering solutions and humanities scholarship. Her doctoral research received competitive funding from the French Ministry of Higher Education and Research (2011-2015). She maintains active academic engagement through peer review services for computer science conferences, workshops, and journals, contributing to scholarly evaluation in her field.

Bashar Nuseibehمشاهده پروفایل

استاد

• Software Engineering
• Requirements Engineering
• Adaptive Systems
• +۵ مورد دیگر

Bashar Nuseibeh holds multiple academic positions as Professor of Software Engineering and Chief Scientist of Lero (The Irish Software Research Centre), Professor of Computing at The Open University, UK , Honorary Professor at University College London , and Visiting Professor at the National Institute of Informatics, Japan . His research spans requirements engineering , adaptive systems , and security & privacy , with recent emphasis on human and social factors in computing . He bridges software engineering and social psychology, applying this interdisciplinary work to critical domains including Healthcare & Well-being Crime & Policing Sustainability Nuseibeh's scholarly leadership includes serving as Editor-in-Chief of IEEE Transactions on Software Engineering and ACM Transactions on Autonomous and Adaptive Systems , plus Associate Editor of IEEE Security & Privacy . His scientific honors feature prominently in his career: ICSE Most Influential Paper Award Philip Leverhulme Prize Royal Society-Wolfson Merit Award IET Innovation Award for Cyber Security He also holds prestigious fellowships and memberships including Fellow of the IET, BCS, and ICS, plus membership in Academia Europaea and the Royal Irish Academy. Nuseibeh secured significant research funding through two ERC grants , notably an Advanced Grant on Adaptive Security and Privacy . His work demonstrates sustained impact across both theoretical and applied computing domains, with particular influence in security-critical human-centered systems.

• Software Engineering
• Model-Driven Engineering
• Software Architecture
• +۵ مورد دیگر

Alexander Egyed serves as a full Professor at the Institute of Software Systems Engineering, Johannes Kepler University Linz, where he directs the LIT Secure and Correct Systems Lab. His leadership spans 350+ research outputs and 50+ projects, with current active grants securing research through 2029 in critical software engineering domains. His research focuses on advancing model-driven engineering practices through innovations in software evolution, variability management, and process guidance. Key contributions include reactive link propagation for model consistency, AI-driven refactoring of legacy systems, and industrial-strength process compliance solutions. His work bridges formal methods with practical industrial applications, particularly in secure system development and software modernization. Recent publications (2024-2025) reveal a pronounced shift toward AI-integrated solutions for legacy system transformation, with consistent emphasis on scalable techniques for model consistency and variability control. This trajectory demonstrates increasing industrial collaboration in developing actionable engineering guidance tools. His scientific excellence is recognized through: ACM Best Paper Award (2015) ACM Recognition of Service Award (2024) ACM SIGSOFT Distinguished Paper Awards (2021, 2023) Best Paper Award (2014) Professor Egyed currently leads major funded initiatives including the FWF-sponsored 'Co-Existence of Modeling Language Versions and Co-Evolution' (2025-2029) and dual 'RefactorAI' projects for legacy system modernization (FFG 2025-2028). His supervision of 12 graduate students reflects commitment to academic mentorship alongside his extensive editorial and program committee service across 147 recorded academic activities. He directs the LIT Secure and Correct Systems Lab, a nexus for interdisciplinary research in formal verification, model-driven security, and AI-assisted software engineering, maintaining strong industry partnerships for real-world validation of research outputs.

Hossein Khaliliمشاهده پروفایل

استاد

• Interprofessional Education and Collaborative Practice
• Healthcare Transformation
• Healthcare Resilience
• +۵ مورد دیگر

Dr. Hossein Khalili serves as Professor and Senior Associate Dean of the School of Health Sciences at Winston-Salem State University (WSSU), while also leading InterprofessionalResearch.Global as President and holding Distinguished Fellow status with the National Academies of Practice. His academic leadership spans global initiatives in transforming healthcare through interprofessional frameworks and collaborative practice models. His educational foundation includes: Registered Nurse (RN) Bachelor of Science in Nursing (BScN) Master of Science in Nursing (MScN) Doctor of Philosophy (PhD) Dr. Khalili's research revolutionizes interprofessional education and collaborative practice (IPECP) through his seminal Interprofessional Socialization and Dual Identity Framework, which addresses team-based care dynamics, patient engagement strategies, and healthy aging initiatives. His work systematically transforms healthcare delivery by integrating social determinants of health with clinical practice, emphasizing resilience engineering and equity-centered approaches. The framework has been adopted internationally to dismantle professional silos and foster collaborative healthcare ecosystems. His extensive publication portfolio reveals a critical shift toward post-pandemic healthcare transformation, with recent works focusing on sustainable IPECP implementation, micro-credentialing systems, and payment model innovations. These publications collectively demonstrate how interprofessional approaches can rebuild healthcare infrastructure to withstand future crises while advancing health equity. Dr. Khalili's scientific recognition includes: Global Interprofessional Collaboration Excellence Award AIHC Interprofessional Scholarship Award Ontario Nurse Educator Award Distinguished Fellow of the National Academies of Practice He directs over $12 million in research funding across 30 projects, including the Global IPE Situational Analysis and InterprofessionalResearch.Global initiatives. His leadership in developing standardized assessment tools like the Dual Identity Scale (DIS) and Assessment of Interprofessional Team Collaboration Scale (AITCS) has established new benchmarks for measuring collaborative practice. Current grant activities focus on healthcare payment reform and building pandemic-resilient systems through international coalitions. As founder of InterprofessionalResearch.Global, Dr. Khalili coordinates multinational working groups that develop policy frameworks for healthcare transformation. His teams collaborate with the American and Canadian Interprofessional Health Collaboratives to advance the Interprofessional Socialization and Dual Identity Framework across 47 countries, driving implementation of standardized assessment tools and co-creating global best practices for post-COVID healthcare systems.

Jaya Mukhopadhyayمشاهده پروفایل

دانشیار

• Building Performance Evaluation
• Indoor Environmental Quality
• Net-zero energy buildings
• +۶ مورد دیگر

Dr. Jaya Mukhopadhyay is an Associate Professor in the School of Architecture at Montana State University, where she serves as Co-director of the Integrated Design Lab (IDL) and Director of the IDL since 2015. Her work focuses on building performance evaluation, indoor environmental quality, and sustainable design practices. She collaborates with the Energy Research Institute and the College of Arts & Architecture to advance research in high-performance buildings. Education: Ph.D. in Architecture, Texas A&M University, 2013 M.S. in Architecture, Texas A&M University, 2005 Dr. Mukhopadhyay's research spans multiple dimensions of sustainable building design and operation. Her primary focus is on net-zero energy buildings, building energy simulation, and daylighting strategies. She investigates energy efficiency in both residential and commercial buildings, with particular interest in passive solar systems and the operation and maintenance of high-performance buildings. Her work on indoor environmental quality bridges the gap between energy efficiency and occupant comfort, ensuring that green buildings deliver on both performance and human experience metrics. She also conducts life cycle analysis to evaluate the long-term environmental impacts of building design decisions. Her scholarly contributions reveal a consistent focus on practical applications of sustainable design principles, particularly in the areas of LEED certification, building performance evaluation, and operations and maintenance of high-performance buildings. Her research demonstrates how theoretical concepts translate into real-world building performance, with emphasis on occupant comfort alongside energy efficiency. Scientific Awards: Distinguished Faculty Award (2019) from Montana State University Dr. Mukhopadhyay has secured significant research funding from diverse sources including the American Society of Heating Refrigeration & Air Conditioning Engineers, the US Environmental Protection Agency, Cornell University, and the Northwest Energy Efficiency Alliance. Her grants focus on evaluating energy performance of LEED-certified buildings, training requirements for sustainable building operations, and innovative monitoring technologies for indoor environments. As Co-director of the Integrated Design Lab, Dr. Mukhopadhyay leads a multidisciplinary team that provides integrated design services to maximize energy efficiency. The IDL offers daylight and electric lighting analysis, energy modeling, and lighting systems consultations to Montana architects and engineers. The lab serves as a hub for student research and industry collaboration, connecting architectural design with engineering principles to create more sustainable built environments.

Richard St-Denisمشاهده پروفایل

دانشیار

• Discrete Event Systems
• Supervisory Control Theory
• Formal Methods
• +۵ مورد دیگر

Richard St-Denis is an Associate Professor in the Department of Computer Science at the University of Sherbrooke, Quebec, Canada. His academic work focuses on theoretical and applied aspects of discrete event systems, supervisory control theory, and formal methods in software engineering. With a career spanning several decades, he has established himself as a significant contributor to the field of controller synthesis and formal specification methods. St-Denis's research interests center around discrete event systems and supervisory control theory, with particular emphasis on the development of formal methods for system specification and controller synthesis. His work bridges theoretical computer science and practical applications in industrial control systems. He has made substantial contributions to extending statecharts with process algebra operators, developing entity-based black-box specification methods (EB3), and creating automated measurement techniques for software size. His recent work has focused on solver-aided programming languages like αRby, ProB, and Rosette, exploring their applications in supervisory control theory. Analysis of St-Denis's publication record reveals a consistent evolution from foundational work in discrete event systems and controller synthesis toward more modern applications involving solver-aided programming and formal verification techniques. His research shows a clear progression from theoretical foundations to practical implementations, with increasing emphasis on automated reasoning and formal verification in recent years. The interdisciplinary nature of his work connects computer science, control theory, and software engineering, demonstrating how formal methods can be applied to solve complex problems in system design and verification. St-Denis has been involved in the MELODIES (Modeling Environment for LOgical DIScrete Event Systems) project, which provides a prototyping environment for novices in the field of discrete event systems. This educational tool demonstrates his commitment to making complex theoretical concepts accessible to new researchers and practitioners. His work on Strongly Connected Components modules, State-based control theory implementations, and N-inference observability models showcases his dedication to both theoretical advancement and practical implementation of control systems concepts.

• Sustainable Construction
• Building Performance
• Ventilation
• +۱۱ مورد دیگر

Carlos Jimenez-Bescos is a Senior Lecturer in Construction within the School of Applied Management at the University of Westminster. His academic career focuses on sustainable construction with particular emphasis on technological innovation and human factors in the built environment. Dr. Jimenez-Bescos' research spans several key areas in sustainable building science: Building Simulation for assessing overheating risk in low energy housing Energy and indoor air quality monitoring to validate simulation models Urban Heat Island effects and mitigation strategies Life Cycle Assessment in Nearly Zero Energy Buildings (NZEB) Digital twin applications in building rehabilitation Integration of data analytics and machine learning in construction His research portfolio demonstrates a consistent focus on practical applications of sustainable technologies, particularly in natural ventilation systems and energy-efficient building design. Recent publications (2023-2025) show a strong emphasis on windcatcher technology, courtyard building ventilation, and thermal performance analysis of innovative construction methods. Dr. Jimenez-Bescos has secured significant research funding from: British Council Newton Researcher Links National Environment Research Council EU-FP7 EU-ERDF His editorial contributions include service on the boards of Municipal Engineering ICE and Urban and Building Science journals, and as Associate Editor for Frontiers in Energy Efficiency. He actively supervises doctoral research, with current work focusing on construction project management quality issues.

Tsvetelina Daskalova-Ivanovaمشاهده پروفایل

دانشیار

• Architectural Technology
• Building Design
• Office Building Design
• +۵ مورد دیگر

Assoc. Prof. Dr. Arch. Tsvetelina Daskalova-Ivanova serves as Deputy Dean for Scientific and International Activities at the Faculty of Architecture, University of Architecture, Civil Engineering and Geodesy (UACEG), and heads both the Department of Architectural Technology and the Center for International Activities and Mobility, demonstrating her significant administrative leadership within the institution. Her educational background includes: Doctoral studies completed in 2015 at UACEG, specializing in Architecture of buildings, structures, facilities and details Higher education (1994-2000) at VIAS, Sofia, Faculty of Architecture, Department of Civil Engineering Secondary education (1989-1994) at the 9th French Language High School "Alphonse de Lamartine" in Sofia Prof. Daskalova-Ivanova's research focuses on architectural technology with particular emphasis on building design methodologies. Her work explores the intersection of structural engineering and architectural aesthetics, especially in commercial contexts. She has made significant contributions to understanding facade design trends and developing modern requirements for office spaces that balance functionality with aesthetic considerations while addressing Bulgarian regulatory frameworks. Analysis of her publications reveals a strong focus on practical applications of architectural principles in the Bulgarian context, with particular attention to regulatory frameworks and standards development. Her work spans office building design, facade engineering, accessibility standards, and urban transport systems, demonstrating comprehensive influence on shaping architectural practice and policy in Bulgaria. Her professional activities extend beyond academia through management of Studio Archistyle Ltd. (since 1998) and consulting with "CITY KAV" Ltd. (since 2004), where she applies expertise in building design, urban planning, and construction supervision. She teaches architectural structures to third-year students and civil engineering courses in English, maintaining active engagement in both theoretical and practical aspects of architectural education.

• Business Intelligence
• Big Data
• Data Warehousing
• +۷ مورد دیگر

Juan Carlos Trujillo Mondejar is a Full Professor in the Department of Languages and Computer Systems at the University of Alicante's Higher Polytechnic School, where he leads the Lucentia Research Group. He has maintained active teaching responsibilities through 2025, instructing courses such as Business Intelligence and Process Management, Project Management of Information Technologies, and Database Technology. His academic credentials include: Doctor of Computer Engineering, Higher Polytechnic School of Alicante, University of Alicante (2001) Doctorate in Recognition, Interpretation and Machine Translation (2001) Computer Engineer, Polytechnic School of Alicante, University of Alicante (1995) Technical Engineer in Management Information Technology (1995) Professor Trujillo's research spans Business Intelligence, Big Data, Data Warehousing, OLAP, data mining, and strategic planning. His work integrates computer science with practical business applications, particularly in healthcare contexts where he applies EEG analysis and deep learning for ADHD diagnosis. He has directed 18 doctoral theses and supervised 35 final degree/master's projects in the last five years, emphasizing internationalization of students. His publication record demonstrates remarkable impact with over 200 conference papers at high-impact venues (ER, UML, DAWAK, CAiSE) and more than 60 JCR-indexed journal articles in top publications like DKE, DSS, IS, and InfSci. His work has earned him recognition as one of the most cited authors in Business Intelligence, with multiple papers ranking among the most downloaded in journals like Data & Knowledge Engineering. Notable achievements include: Co-editing 11 special issues for JCR journals Serving as PC-Chair for major international conferences (ER'18, ER'13, DOLAP'05) Senior Editor of Decision Support Systems (Q1 journal) until 2017 Articles with 152, 128, and 98 citations Multiple papers ranking among top downloaded articles in their respective journals Professor Trujillo has secured substantial research funding as Principal Investigator for national, regional, and Horizon 2020 projects, totaling 33 public research projects in the last five years. His technology transfer activities include 7 Intellectual Property Registrations and co-founding Lucentia LAB, S.L. in 2015, a spin-off company focused on Business Intelligence and Software Engineering technology transfer. He maintains active international collaborations with leading researchers including S. Rizzi, P. Vassiliadis, M. Golfarelli, Il-Yeol Song, and J. Mylopoulos. His current projects include a Smart City initiative with Elda City Council (2025) and an LLM-based data integration project for digital transformation at the University of Alicante (2024-2025).

Maximilian von Grafensteinمشاهده پروفایل

استاد

• Data Protection Law
• Data Governance
• Privacy by Design
• +۵ مورد دیگر

Maximilian von Grafenstein is a Professor for "Digital Self-Determination" at the Berlin Career College of the University of the Arts in Berlin (UdK), which is part of the Einstein Center Digital Future (ECDF). He also serves as co-head of the research program "Data, Actors, Infrastructures: Governance of Data-Driven Innovation and Cybersecurity" at the Alexander von Humboldt Institute for Internet and Society (HIIG). His academic work bridges law, technology, and governance, with a particular focus on creating frameworks for responsible data utilization in public and private sectors. Professor von Grafenstein's research focuses on the regulation of data-driven innovation with special emphasis on "Data Protection and Security by Design." His work spans several key areas: Data Governance frameworks for public administration and smart cities Privacy and security by design implementation GDPR compliance mechanisms and certification Transparency tools like privacy icons Digital self-determination in the context of emerging technologies His recent publications reveal strong trends in municipal data governance, with a focus on practical implementation frameworks for local governments. His work bridges theoretical legal concepts with practical implementation challenges, particularly in the context of smart city development and public sector digital transformation. A significant portion of his research addresses the tension between innovation and regulatory compliance, seeking balanced approaches that protect fundamental rights while enabling technological advancement. Vice President of the Academic Board of the European Association of Data Protection Professionals (EADPP) since September 2019 Developer of the "Data Governance Wegweiser" for municipalities Expert advisor to the German Bundestag's Digital Committee Regular speaker at international data protection conferences including CPDP and Bitkom Professor von Grafenstein has been actively involved in mentoring through the HIIG Startup Law Clinic, where he assisted over 100 startup entrepreneurs in solving legal issues related to their product and business model innovations. His entrepreneurial experience includes founding MAUERSCHAU in 2013, a mobile augmented reality app providing location-based access to cultural content, and INNOVATION AND LAW, which specializes in privacy and security-by-design solutions.

Marsha Chechikمشاهده پروفایل

استاد

• Software Engineering
• Formal Methods
• Software Specification and Verification
• +۷ مورد دیگر

Marsha Chechik is a Professor in the Department of Computer Science at the University of Toronto within the Faculty of Arts and Science. She previously served as Chair of the Department of Computer Science (2019-2022) and as Acting Dean in the Faculty of Information (July-December 2022). Professor Chechik received her Ph.D. from the University of Maryland in 1996 and has established herself as a leading researcher in software engineering with a focus on formal methods. Her research interests include software safety and security, automated verification, software product lines, and model management. Professor Chechik has authored numerous papers in formal methods, software specification and verification, computer safety and security, and requirements engineering. Her work has evolved to incorporate newer areas such as machine vision reliability analysis, normative requirements with large language models, and machine learning development lifecycle analysis. Her research consistently bridges theoretical foundations with practical applications in software engineering. Professor Chechik has served in numerous leadership roles including Program Committee Co-Chair for major conferences such as ICSE 2018, TACAS 2016, VSTTE 2016, ASE 2014, CONCUR 2008, CASCON 2008, and FASE 2009. She is currently the Area Chair for ASE 2025 in Security and Other Non-Functional Properties. She has also served as Associate Editor in Chief of Journal on Software and Systems Modeling and as associate editor of IEEE Transactions on Software Engineering (2003-2007, 2010-2013). Best paper award at RE'12 (2012) SIGSOFT Distinguished Paper at ICSE'12 (2012) Winner of Best Student Paper Award at CASCON'07 (2007) Winner of Distinguished Paper Award at ICSE'07 (2007) Professor Chechik regularly mentors PhD students, with notable advisees including Michalis Famelis, Shiva Nejati, Jocelyn Simmonds, Ou Wei, and Aws Albarghouthi. Her advising philosophy emphasizes rigorous formal methods while addressing practical software engineering challenges. She has been involved in numerous research grants focusing on software verification, safety-critical systems, and requirements engineering. Currently, her work explores the intersection of formal methods with emerging technologies like large language models and machine vision systems. Professor Chechik maintains an active research lab focused on model-based software engineering, with projects spanning software product lines, model management, and verification techniques. Her team collaborates with industry partners to address real-world software engineering challenges while advancing theoretical foundations. Current work includes developing techniques for normative requirements operationalization, machine vision reliability analysis, and automated code reconciliation using AI techniques.

Fabio Palombaمشاهده پروفایل

دانشیار

• Software Maintenance and Evolution
• Empirical Software Engineering
• Source Code Quality
• +۷ مورد دیگر

Fabio Palomba is an Associate Professor at the Software Engineering (SeSa) Lab within the Department of Computer Science at the University of Salerno, Italy. He leads research in software engineering with a particular focus on AI/ML systems engineering and has established himself as a prominent figure in empirical software engineering through his extensive publication record and leadership roles. Palomba received his European PhD degree in Management & Information Technology from the University of Salerno in 2017, with his thesis earning the prestigious 2017 IEEE Computer Society Best PhD Thesis Award. His academic journey included a Master's degree in Computer Science from the University of Salerno (2011-2013) with 110/110 magna cum laude, and a Bachelor's degree from the University of Molise (2008-2011). His research spans software maintenance and evolution, empirical software engineering, source code quality, and mining software repositories. More recently, his work has significantly expanded into AI/ML engineering, with particular emphasis on fairness in ML systems, code smells in ML pipelines, and the socio-technical aspects of developing AI-powered applications. Palomba has co-authored over 200 papers in international conferences and journals, establishing himself as a leading researcher in empirical software engineering with growing influence in Software Engineering for AI (SE4AI). Analysis of Palomba's recent publications reveals a strategic research direction toward addressing critical challenges at the intersection of traditional software engineering and AI/ML systems. His work tackles issues including ML-specific code smells, fairness-aware practices in ML engineering, vulnerability detection in software, and requirements engineering enhanced by large language models. This cohesive research agenda positions him at the forefront of ensuring the quality, reliability, and ethical considerations of AI-powered systems. 2017 IEEE Computer Society Best PhD Thesis Award ACM/SIGSOFT Distinguished Paper Awards (ASE'13, ICSE'15) IEEE/TCSE Distinguished Paper Award (ICSME'17) Best Paper Awards (CSCW'18, SANER'18) SNSF Ambizione grant (2019) IEEE Computer Society Technical Council of Software Engineering Rising Star Award (2023) 16 Distinguished/Outstanding Reviewer Awards Palomba has served in numerous leadership roles in the software engineering community. He was program co-chair of SANER 2024 and ICPC 2021, industrial track co-chair of SANER 2022, and NIER/ERA track co-chair of ASE 2022. He has served on editorial boards of prestigious journals including Springer's Empirical Software Engineering Journal (since 2021), Elsevier's Information and Software Technology Journal (since 2022), and IEEE Transactions on Software Engineering (since 2020). His research is supported by competitive grants including the SNSF Ambizione grant, one of Europe's most prestigious individual research awards. At the University of Salerno, Palomba leads the Software Engineering (SeSa) Lab, which focuses on empirical studies of software quality, maintenance, and evolution, with increasing emphasis on AI/ML systems engineering. His work bridges traditional software engineering concerns with the emerging challenges of AI/ML systems, making significant contributions to the development of practical tools and methodologies for improving the quality and reliability of modern software systems.

Grace Lewisمشاهده پروفایل

پژوهشگر

• software engineering for AI/ML systems
• software architecture
• edge computing
• +۳ مورد دیگر

Grace Lewis is a Principal Researcher and lead of the Tactical and AI-Enabled Systems (TAS) initiative at the Software Engineering Institute (SEI) at Carnegie Mellon University. She serves as principal investigator for multiple research projects including 'Continuum: Establishing the Practice of Integrated T&E for ML Capabilities' and is President-Elect for the IEEE Computer Society in 2025. Her work bridges academic research with practical applications in defense and tactical environments. Her educational background includes: B.Sc. in Software Systems Engineering and Specialization in Administration from Icesi University in Colombia Master in Software Engineering from Carnegie Mellon University Ph.D. in Computer Science from Vrije Universiteit Amsterdam Dr. Lewis specializes in software engineering for AI/ML systems, with particular focus on architectural practices for systems integrating emerging technologies. Her research addresses critical challenges in deploying ML systems in operational environments, including test and evaluation of ML capabilities, mismatch detection between development and operational contexts, and edge computing for tactical applications. She has made significant contributions to understanding how software architecture principles must evolve to accommodate AI/ML components within larger systems. Analysis of her recent publications reveals a strong focus on the practical challenges of implementing ML systems in real-world contexts. Her work spans ML testing methodologies, architectural patterns for edge computing, green computing for ML systems, and addressing collaboration challenges in ML-enabled system development. A consistent theme is the need for better integration between data science, software engineering, and operational perspectives when building ML systems. Her notable recognitions include: BEST PAPER AWARD at WICSA 2016 DISTINGUISHED PAPER AWARD at ICSE 2022 Dr. Lewis leads the Tactical and AI-Enabled Systems initiative which develops tools like MLTE (ML Test and Evaluation), TEC (ML Mismatch Detection), and UnitML. Her projects address critical gaps in ML system deployment, particularly in defense contexts where testing failures can cause significant delays. She actively collaborates with the Army AI Integration Center and other defense organizations to transition research into practice.

Amel Bennaceurمشاهده پروفایل

دانشیار

• Adaptive Software
• Autonomous Systems
• Resilience
• +۴ مورد دیگر

Amel Bennaceur is an Associate Professor at The Open University (UK) specializing in adaptive and intelligent software systems. With over 12 years of research experience, she focuses on ensuring trustworthiness, quality, and resilience in autonomous systems through innovative software engineering approaches. Her research spans: Adaptive Software and Autonomous Systems Resilience Engineering for Cyber-Physical Systems Software Engineering for Machine Learning applications Requirements Engineering for AI-powered systems Gender-inclusive and value-sensitive design methodologies Analysis of her 15 most recent publications (2018-2025) reveals strong emphasis on runtime adaptation mechanisms, ethical AI integration, and human-centric system design. Key trends include developing frameworks for value operationalization ( Values@Runtime ), identity-aware architectures ( IDEA of Us ), and intelligent agent-based requirements engineering ( Prompt Me ), with growing focus on AI/ML integration since 2021. She actively contributes to major software engineering conferences as: ASE 2025 Program Committee Member (Research Papers) Requirements Engineering 2026 Journal-First Co-Chair ICSE 2025 Committee Member (Research Track) Organizing Committee Chair for SEAMS (International Conference on Software Engineering for Adaptive Systems) Her technical leadership includes GitHub projects like OASIS (security specification framework) and RE4ML (requirements engineering for machine learning), demonstrating hands-on implementation of her research concepts.

Thomas Vogelمشاهده پروفایل

پژوهشگر

• Software Engineering
• Search-Based Software Engineering
• Model-Driven Engineering
• +۵ مورد دیگر

Thomas Vogel is a postdoctoral researcher in the Software Engineering Group at Humboldt-Universität zu Berlin, where he teaches courses including Adaptive Systems, Software Engineering, and Methods and Models of System Design. Previously, from October 2021 to September 2022, he served as stand-in professor for Empirical Software Engineering at Paderborn University. His academic journey includes a Ph.D. with summa cum laude from the Hasso Plattner Institute at University of Potsdam (2018) and undergraduate studies in Information Systems at University of Bamberg with distinction. Dr. Vogel's research focuses on the intersection of software engineering with self-adaptive and autonomous systems. His work bridges search-based and model-driven software engineering with control theory to create robust adaptive systems. He has made significant contributions to quality assurance of self-adaptive software, particularly in the areas of uncertainty reduction, runtime verification, and formal synthesis of controllers. His research has practical applications in mobile robot navigation, server infrastructure management, and scientific computing domains. His publications reveal a strong emphasis on formal methods for adaptive systems, with a notable trend toward integrating machine learning techniques with traditional control theory approaches. Recent work demonstrates increased focus on industrial applicability of self-adaptation research, uncertainty management, and evaluation methodologies for adaptive systems. His 2015 paper "Software Engineering meets Control Theory" received the SEAMS 10-Year Most Influential Paper Award in 2025, highlighting the lasting impact of his contributions to the field. Among his notable recognitions are the Facebook Testing and Verification Research Award, the Karsten Schwan Best Paper Award at ICAC 2017, and the Best Paper Award at SEAMS 2024 for "Formal Synthesis of Uncertainty Reduction Controllers." He has served on program committees for major conferences including ASE, ICSE, ICST, and SEAMS, and was Program Committee Co-Chair for the Research Track at SEAMS 2025. Dr. Vogel actively mentors PhD students, with recent successful defenses by Arut Prakash Kaleeswaran ("Explanation of the Model Checker Verification Results") and Sona Ghahremani ("Incremental Self-Adaptation of Dynamic Architectures Attaining Optimality and Scalability"). His research has been supported by the Deutsche Forschungsgemeinschaft (DFG), including the "Controlling Search-Based Test Generation and Program Repair" project. He is also involved in the collaborative research center "FONDA: Foundations of Workflows for Large-Scale Scientific Data Analysis."