جستجوی استاد راهنمای دانشگاهی

Olivier Gendreauمشاهده پروفایل

مدرس

• Software engineering
• Virtual reality and related simulations
• Software and development
• +۳ مورد دیگر

Olivier Gendreau serves as a Lecturer in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he has established himself as an accomplished educator and researcher in software engineering and virtual reality applications. His work spans both theoretical research in knowledge management within software development processes and practical applications in engineering education. Department of Computer Engineering and Software Engineering, Polytechnique Montréal Primary research center: New Frontiers in Information and Communications Technologies Secondary research centers: Modeling and Artificial Intelligence; Industry of the Future and Digital Society Professor Gendreau's research focuses on the intersection of software engineering practices, knowledge management, and virtual reality applications. His work examines how knowledge flows and is converted during software development processes, with particular attention to quality control practices, documentation validation, and the application of virtual reality technologies. He has published extensively on integrative learning approaches that bridge academic theory with professional practice in software engineering. Analysis of Professor Gendreau's publication record reveals a consistent focus on knowledge management in software development, with significant contributions to understanding knowledge acquisition, flow, and conversion processes. His work frequently employs case study methodology to examine practical applications in quality control, component reuse, and verification/validation techniques. More recently, his research has expanded into virtual reality applications and ecological identity in workplace contexts, showing an evolving research trajectory that maintains its core focus while expanding into new application areas. 2020 - Excellence in Teaching Award from Polytechnique Montréal ($10,000) Professor Gendreau has developed and supervised numerous integrative projects for computer and software engineering students at Polytechnique Montréal, including both second-year and third-year projects designed to facilitate students' transition to the professional workforce. His teaching emphasizes practical, industry-relevant experiences that prepare students for real-world challenges in software development. His work with student teams participating in competitions like Laval Virtual demonstrates his commitment to providing students with opportunities to apply their knowledge in competitive, real-world settings.

Yizhou Zhangمشاهده پروفایل

استادیار

• Programming Languages
• Probabilistic Programming
• Compiler Design
• +۴ مورد دیگر

Yizhou Zhang is an Assistant Professor at the Cheriton School of Computer Science, University of Waterloo. He specializes in programming language design and implementation, focusing on balancing expressive power with strong guarantees through language abstractions and compiler verification. Designing modular, type-safe language systems Probabilistic programming and inference optimization Algebraic effects and control flow management His recent publications explore lexical effect handlers, certified compiler frameworks, and nested polymorphism models. Awards include the ACM SIGPLAN Distinguished Paper Award (2023) for his work on probabilistic program compilation. Current advisees include PhD candidates Cong Ma, Zhaoyi Ge, Jianlin Li, and Ende Jin. He has served on program committees for POPL, PLDI, and OOPSLA conferences.

Hamid Bagheriمشاهده پروفایل

دانشیار

• Software Engineering
• Security
• Formal Methods
• +۷ مورد دیگر

Hamid Bagheri is an Associate Professor in the School of Computing at the University of Nebraska-Lincoln and a faculty associate of the Institute for Software Research (ISR) at the University of California, Irvine. He co-directs the ESQuaReD Lab and serves on the review boards of IEEE Transactions on Software Engineering and ACM Transactions on Software Engineering and Methodology. His research focuses at the intersection of software engineering, security, and formal methods, with particular expertise in Security of Mobile Devices and IoT Systems Scaling Formal Verification with Machine Learning Software Analysis and Testing Dependable Cyber-Physical Systems Automated Program Repair and Fault Localization His publication record spans top-tier venues including ICSE, ASE, ISSTA, ESEC/FSE, and IEEE/ACM Transactions, with recent work focusing on efficient analysis of Alloy specifications, IoT security, and ML-enhanced formal verification. His research has been recognized with multiple Distinguished Paper Awards. Among his notable awards are: EPSCoR FIRST Award NSF CISE Career Research Initiation Initiative Award SoC Student Choice Outstanding Teaching Award (2023-2024) CSE Outstanding Teaching Award (2020-2021) NSF EPSCoR First Award (2017) Prof. Bagheri has successfully advised multiple PhD students including Mohannad Alhanahnah (now tenure-track faculty at Chalmers University) and Clay Stevens (now tenure-track faculty at Iowa State University). He has received substantial research funding including NSF SHF Research Grants and has been actively involved in conference organization as PC member and track chair across numerous major software engineering venues.

Peter Rossoمشاهده پروفایل

پژوهشگر

• Computer-Aided Design
• CAD Modeling
• Product Development
• +۳ مورد دیگر

Peter Rosso is a Doctor of Philosophy researcher at the University of Bristol's School of Electrical, Electronic and Mechanical Engineering, specializing in Computer-Aided Design (CAD) systems and product development methodologies. His work bridges software engineering principles with mechanical design practices. His educational background includes a BEng in Mechanical Engineering from the University of Bristol (awarded July 19, 2017). Research focuses on addressing technical debt in CAD modeling , improving CAD editability and usability , and exploring graph database applications for design intent preservation. Key methodologies include adapting object-oriented programming principles to CAD systems and investigating variability impacts on model reusability. Current research trends show strong interdisciplinary connections between software engineering and mechanical design, particularly in applying version control concepts from software development to physical product lifecycles through digital twin paradigms. His work demonstrates significant citation impact with 15+ Scopus citations across recent publications. Scientific Recognition: No major awards or fellowships explicitly documented in source materials As Principal Investigator for the active CAD Refactoring project (since September 2018), he leads research on improving CAD model editability with collaborators including Prof. B.J. Hicks and Dr. S.C. Burgess. The project has generated notable academic engagement with 14 Mendeley readers and social media mentions. His research group maintains active collaborations across mechanical engineering and software domains, with particular emphasis on translating software engineering best practices to CAD environments and developing integrated version control systems for virtual-physical artifact management in product development cycles.

Steffen Helkeمشاهده پروفایل

استاد

• Software Engineering
• IT Security
• Functional Software Security
• +۳ مورد دیگر

Prof. Dr.-Ing. Steffen Helke serves as a full Professor in the Department of Electrical Engineering & Information Technology at University of Applied Sciences Südwestfalen. His academic roles include Senate membership, evaluation officer for the department, program coordinator for Media Informatics, and spokesperson for the GI Specialist Group Automotive Software Engineering. Current affiliations span committee work in electrical engineering bachelor programs and leadership in safety-critical software research. His research focuses on functional software security , safety-critical system verification , and model-based quality assurance . Key areas include information flow control languages, automotive software security, hierarchical statechart validation, and requirements delta analysis for efficient development estimation. Methodologies emphasize formal verification, static analysis, and tool-supported refactoring to ensure robustness in embedded systems. Teaching encompasses advanced courses in Software Engineering, IT Security, Ethical Hacking, and Competitive Programming. Thesis supervision occurs in research areas like NLP-based requirements analysis, refactorings for security languages (Jif), and model checking for Statecharts. Industrial collaborations facilitate project/bachelor theses with real-world security applications. Research trends from publications show consistent focus on bridging formal methods with industrial software development. Dominant disciplines include Software Engineering (72% of works) and Formal Verification (58%), with emerging subfields like NLP-assisted requirements engineering (2019) and automotive security frameworks. Keyword analysis reveals sustained emphasis on verification (100% of works), security (80%), and automotive applications (40%). Administrative contributions include leadership in the combined Electrical Engineering bachelor program and active participation in university governance through department councils. Tools developed in his research (e.g., Delta Analyzer, R2BC) are integrated into curricula using ReqView, Matlab/Simulink, and Enterprise Architect for systematic requirement engineering and UML modeling.

Sridhar Chimalakondaمشاهده پروفایل

دانشیار

• Software Engineering
• Educational Technologies
• Human Computer Interaction
• +۱۱ مورد دیگر

Dr. Sridhar Chimalakonda serves as Associate Professor and Head of the Department of Computer Science & Engineering at the Indian Institute of Technology Tirupati, with an adjunct appointment as Associate Professor at the University of Waterloo. His academic leadership spans software engineering research and educational innovation. His educational qualifications include: Ph.D. from International Institute of Information Technology Hyderabad, India MS by Research from International Institute of Information Technology Hyderabad, India Research expertise encompasses: Software Engineering : Empirical studies, quality assurance, reuse methodologies, product lines, architecture, ontologies, and gamification Educational Technologies : Instructional design optimization, personalized learning systems, and VR/AR applications for educational storytelling and laboratories Human Computer Interaction : User-centered design in educational and software development contexts Publication analysis (2021-2024) reveals a strategic evolution from foundational software engineering research toward integrated educational applications, particularly in gamified machine learning education for K-12 audiences and sustainable software practices. His work demonstrates consistent methodological rigor in empirical studies while expanding into cross-disciplinary educational technology innovation.

Eunjong Choiمشاهده پروفایل

دانشیار

• Software Engineering
• Software Maintenance/Evolution
• Program Comprehension
• +۴ مورد دیگر

Eunjong Choi is an Associate Professor at the Faculty of Information and Human Sciences, Kyoto Institute of Technology in Japan. She joined Kyoto Institute of Technology as a tenure-track assistant professor in 2019 and was promoted to associate professor in March 2024. Prior to this position, she served as an assistant professor at Nara Institute of Science and Technology (April 2016-March 2019) and at Osaka School of International Public Policy, Osaka University (April 2015-March 2016). Kyoto Institute of Technology (2019-Present) Nara Institute of Science and Technology (2016-2019) Osaka University (2015-2016) Dr. Choi's research focuses on software engineering with particular emphasis on software maintenance and evolution, program comprehension, software analytics, reused code management and detection, refactoring support, and test code generation. Her work bridges theoretical software engineering concepts with practical applications in industrial settings. She has investigated topics such as token-level SZZ algorithms, deep learning-based clone detectors, and modernization of large-scale industrial systems. Dr. Choi has held significant leadership roles in major software engineering conferences including serving as General Chair for ICPC 2020 and IWESEP 2017, Publicity Co-Chair for ICSE 2020, and Local Arrangement Co-Chair for SANER 2016. She has been actively involved in the IEEE Kansai Section Woman in Engineering Affinity Group, serving as Secretary (2016-2017) and Vice-Chair (2018-2021). Her teaching portfolio includes Software Mining and Analysis, Software Metrics, and Software Engineering courses at Kyoto Institute of Technology; Software Design and related courses at Nara Institute of Science and Technology; and Basic Information Literacy at Osaka University. Dr. Choi earned her Ph.D. in Information Science and Technology from Osaka University in 2015 and maintains an active research profile in the software engineering community.

Thorsten Bergerمشاهده پروفایل

استاد

• Software Engineering
• Variability Management
• Software Product Lines
• +۵ مورد دیگر

Thorsten Berger is a Professor and Head of the Chair of Software Engineering at Ruhr University Bochum, Germany. His office is located at MC 4.101 on the RUB campus, with contact details including phone (+49 (0) 234 32 25975) and email (thorsten.berger@rub.de). He's an active researcher with extensive service in the software engineering community, serving on program committees for major conferences including ICSE, FSE, ASE, and SPLC. Professor Berger's research primarily focuses on software engineering with specialization in variability management, software product lines, and robotics software engineering. His work bridges theoretical foundations with practical applications, particularly in behavior trees for robotic systems, configuration management, and domain-specific language engineering. His interdisciplinary approach connects software engineering with control theory and machine learning applications. Analysis of his recent publications reveals a strong trend toward robotics software engineering, with increasing focus on behavior trees, test-case specification, and runtime verification for robotic systems. His work also shows growing interest in machine learning integration with traditional software engineering practices, particularly in model integration and asset management for ML-enabled systems. The research demonstrates consistent evolution from foundational work in variability management toward more applied domains. His scientific achievements have been recognized with numerous awards: Multiple Most Influential Paper Awards (SLE 2024, VaMoS 2023, VaMoS 2020) Wallenberg Academy Fellowship VR Starting Grant from Swedish Research Council (2016) Best Paper Awards at Modularity (2015) and CSMR (2013) Distinguished Reviewer Awards from ASE, ICSE, and SPLC conferences ERC Starting Grant finalist (2019, 2020) Professor Berger has secured substantial research funding as Principal Investigator for multiple projects including Novel Techniques for Data-Driven Root-Cause Analysis and Variability Management (Volkswagen Infotainment), Properties and Verification Techniques for Behavior Trees (Phoenix Contact Foundation), and PrivacyE2E framework for AI-enabled systems (Federal Ministry of Education and Research). His Wallenberg Academy Fellowship and VR Starting Grant demonstrate his capacity to attract competitive early-career funding. He leads the Virtual Platform project funded by the Swedish Research Council and participates in EU-funded initiatives like CO4ROBOTS. As Head of the Chair of Software Engineering at Ruhr University Bochum, he leads a research group focused on advanced software engineering techniques with particular emphasis on variability-intensive systems. His team actively participates in international research collaborations including the Wallenberg Autonomous Systems Program (WASP) and has organized significant events like the Dagstuhl seminar 19191 on 'Software Evolution in Time and Space: Unifying Version and Variability Management.'

Bernd Fischerمشاهده پروفایل

استاد

• Automated Software Engineering
• Program Verification
• Logic-based Techniques
• +۷ مورد دیگر

Bernd Fischer is a Professor and the current Head of Division in the Division of Computer Science at Stellenbosch University, South Africa. Previously, he held positions at TU Braunschweig, NASA Ames Research Center, and University of Southampton, establishing a strong international academic background in software engineering and formal methods. Professor Fischer's research focuses on automated software engineering, particularly logic-based techniques. His work spans specification-based component reuse, program synthesis, and program verification, with current emphasis on annotation inference, software model checking, and human-oriented presentation of verification results. His research bridges theoretical foundations with practical applications, particularly in concurrent program verification, grammar-based testing, and fault localization techniques. His work has significant implications for improving software reliability and developer productivity. Analysis of his recent publications reveals a strong focus on concurrent program verification through lazy sequentialization techniques, with substantial contributions to tools like CSeq and ESBMC. His research demonstrates consistent innovation in software verification, particularly in addressing the challenges of concurrency, bounded model checking, and fault localization. The interdisciplinary nature of his work connects theoretical computer science with practical software engineering challenges. ASE 2012 Most Influential Paper Award ACM Distinguished Paper Award Best Presentation Award Professor Fischer has successfully advised PhD students including Gillian Greene, who defended her thesis on "Concept-Based Exploration of Rich Semi-Structured Data Collections," and Geoff Birch, who completed work on "Fast, Fully-Automated, Model-Based Fault Localisation and Repair with Test Suites as Specification." His mentoring approach integrates theoretical rigor with practical tool development. His research has been supported through various academic grants enabling the development of multiple software verification tools. Professor Fischer leads development of several important software engineering tools including AutoBayes for statistical program synthesis, ConceptCloud for interactive visualization of software repositories, CSeq for concurrent program verification, and ESBMC for software model checking. These tools represent significant contributions to the software engineering research community and have been recognized in international verification competitions.

Xiang Gaoمشاهده پروفایل

دانشیار

• Program Analysis
• Software Security
• Automated Program Repair
• +۴ مورد دیگر

Xiang Gao is a Pre-tenure Associate Professor in the School of Software at Beihang University, China. His research focuses on applying program analysis, test generation, and formal methods to improve software quality through automated bug fixing and program synthesis. He has established significant collaborations with Fujitsu Laboratories of America, Microsoft Research, and other leading institutions in the software engineering field, demonstrating strong industry-academia connections. Dr. Gao received his Bachelor's degree in Computer Science (Elite Class) from Shandong University in 2016, followed by a Ph.D. from the School of Computing at the National University of Singapore, where he also served as a Postdoctoral Fellow until December 2021. His educational background spans both Chinese and Singaporean academic institutions, providing him with a global perspective on software engineering research. His primary research interests span multiple cutting-edge areas of software engineering: Program Analysis techniques for detecting and fixing software bugs with formal methods Software Security vulnerabilities with focus on automated repair methods Automated Program Repair systems that generate high-quality patches without overfitting Program Synthesis for creating transformation rules from examples Software Engineering for Artificial Intelligence (SE4AI) to improve AI model reliability and security Mobile Software Engineering with particular attention to UI testing and automation Deep Learning Security including model protection and obfuscation techniques Dr. Gao's recent publication trajectory shows a strategic evolution toward integrating large language models with traditional software engineering approaches, particularly in test generation and program repair. His work on DNN modularization (NeMo, CNNSpliter, SeaM) represents an innovative approach to enhancing model reusability and security in resource-constrained mobile environments, addressing critical challenges in deploying AI on edge devices. His scientific contributions have been recognized with multiple prestigious awards: ACM SIGSOFT Distinguished Paper Award for "ProveNFix: Temporal Property guided Program Repair" at FSE'24 IEEE TCSE Distinguished Paper Award for "Investigating and Detecting Silent Bugs in PyTorch Programs" at SANER'24 ACM SIGSOFT Distinguished Paper Award for "Modularizing while Training: A New Paradigm for Modularizing DNN Models" at ICSE'24 Distinguished Artifact Award for "Automated Patch Backporting in Linux (Experience Paper)" at ISSTA'21 Dr. Gao actively mentors students at various levels, seeking "self-motivated Ph.D, master, undergraduate students and interns with strong programming skills" for his research projects. He serves on numerous program committees for top software engineering conferences including ICSE, ASE, ISSTA, and FSE, demonstrating his growing influence in the academic community. His research has been supported through collaborations with industry partners including Microsoft Research and Fujitsu Laboratories of America, translating theoretical advances into practical applications. His laboratory focuses on several key research projects including Automated Software Vulnerability Repair (with techniques like Fix2Fit, VulnFix, and ExtractFix that address the overfitting problem in program repair), Program Synthesis for Program Transformation (including Semi-supervised synthesis and FixMorph for automated patch backporting in Linux), and Software Engineering for Artificial Intelligence (with projects like CNNSpliter, SeaM, and Sensei that apply software engineering principles to improve AI model usability and robustness). These projects represent cutting-edge work at the intersection of traditional software engineering and modern AI techniques, addressing critical challenges in software reliability and security.

Marianne Huchardمشاهده پروفایل

استاد

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

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

Moritz Kinzelمشاهده پروفایل

پژوهشگر

• Building Archaeology
• Neolithic Architecture
• Heritage Conservation
• +۷ مورد دیگر

Dr. Moritz Kinzel serves as an External Researcher in the Department of Cross-Cultural and Regional Studies at the University of Copenhagen's Faculty of Humanities. His research focuses on building archaeology and Neolithic architecture, with extensive fieldwork across the Middle East including significant projects at Göbekli Tepe (Turkey) and Shkarat Msaied (Jordan). PhD in Building Archaeology (Dr. Ing.), Technical University of Berlin (2011) M.Sc. in Heritage Conservation, Technical University of Berlin (2006) Diplom Ingenieur in Architecture, Beuth Hochschule für Technik (2001) Dr. Kinzel's primary research encompasses Building Archaeology, Neolithic Architecture, Heritage Conservation, and Digital Archaeology methodologies. His work integrates traditional architectural analysis with cutting-edge digital techniques including 3D scanning, photogrammetry, and AR/VR applications. He has developed innovative approaches to documenting ancient structures through his involvement with the ABACUS 2.0 photogrammetry system and has pioneered the use of graphic novels for archaeological outreach through the Prehistory Graphic Outreach Initiative. Analysis of his 15 most recent publications reveals consistent focus on Neolithic architectural practices, particularly at Göbekli Tepe and Shkarat Msaied sites. His work demonstrates strong interdisciplinary connections between architectural history, digital humanities, and heritage conservation, with increasing emphasis on digital documentation methods and public engagement strategies since 2019. Key thematic threads include architectural modification processes, monumentality studies, and the application of proteomics to ancient bone analysis. Dr. Kinzel actively contributes to major international projects including the HeAT (Heritage and Threat) initiative addressing heritage preservation in crisis situations across Syria, Northern Iraq, Poland, Romania, and Italy. His collaborative approach is evident through extensive international partnerships reflected in his research output spanning multiple countries and institutions. His outreach efforts include the Prehistory Graphic Outreach Initiative producing graphic novels based on Shkarat Msaied research, and the HeAT project developing practical manuals for heritage threat management. Dr. Kinzel maintains active participation in academic discourse through conference presentations, peer review activities, and media engagement to disseminate findings from his Middle Eastern archaeological projects.

Apostolos Ampatzoglouمشاهده پروفایل

دانشیار

• Technical Debt
• Reverse Engineering
• Software Maintainability
• +۵ مورد دیگر

Apostolos Ampatzoglou serves as Associate Professor in the Department of Applied Informatics at the University of Macedonia, where he leads research in software engineering with particular emphasis on technical debt management and software quality. Previously, he held an Assistant Professor position at the University of Groningen (2013-2016) and maintains active collaborations across European research initiatives. His academic credentials include a PhD in Software Engineering from Aristotle University of Thessaloniki (2013), MSc in Computer Systems from the University of Macedonia (2005), and BSc in Informatics from the Technological Education Institute of Thessaloniki (2003). Dr. Ampatzoglou's research program centers on technical debt quantification, reverse engineering, and software maintainability. He pioneered financial models for technical debt management and developed metrics for assessing ripple effects in software systems. His work bridges theoretical foundations with industrial applications through projects like SDK4ED and SmartCLIDE, focusing on energy-efficient development and cloud service engineering. Current investigations explore machine learning applications for vulnerability prediction and technical debt prioritization. His extensive publication record reveals strong trends in applying AI to software quality assurance, with recent work emphasizing transformer models for vulnerability detection and explainable AI for technical debt identification. He actively investigates energy-aware development practices and service-oriented architecture patterns in cloud environments. Notable recognitions include: Top-7 reviewer for Journal of Systems and Software (2022) Best paper awards at IGSCC'21, ICSR'18, and EASE'17 18th most active Consolidated Researcher in Software Engineering (2013-2020) 3rd most active Early Stage Researcher (2010-2017) Multiple personal research grants from National Scholarships Association He has successfully supervised PhD candidates including Dr. Areti Ampatzoglou (Best PhD Thesis Award, University of Groningen) and Dr. Elvira-Maria Arvanitou (VERSEN Institute award). His research is funded through major European projects such as SDK4ED, SmartCLIDE, and SKILLAB, with recent grants exceeding €2M in total funding. Current work focuses on FAIR data implementation and skills gap analysis in European labor markets. As leader of the Software Engineering Lab at the University of Macedonia, he directs a 15+ member team working on technical debt management tools, cloud development environments, and XR applications for warehouse management. The lab maintains strong industry partnerships with technology clusters in Thessaloniki and participates in the Eclipse Foundation ecosystem.

David Corsarمشاهده پروفایل

مدرس ارشد

• Knowledge Representation
• Knowledge Reasoning
• Semantic Web
• +۱۱ مورد دیگر

Dr. David Corsar is a Principal Lecturer in Informatics at Robert Gordon University's School of Computing, Engineering and Technology. He is an active researcher in Artificial Intelligence with a focus on knowledge representation, reasoning methods, and explainable AI systems. His academic journey began with a Bachelor's Degree in Computing Science (Artificial Intelligence) from the University of Aberdeen (2000-2004), followed by a PhD in Computing Science (2004-2009) where he researched knowledge reuse through ontology mapping and ontology based knowledge acquisition. After his doctoral studies, he worked as a Research Fellow at the University of Aberdeen in interdisciplinary teams before joining RGU. Dr. Corsar's research interests span across multiple AI domains: Knowledge Representation and Reasoning Semantic Web and Knowledge Graphs Provenance in AI systems Explainable Artificial Intelligence (XAI) Case-Based Reasoning Integration of machine learning with symbolic AI Transparency and trustworthiness of AI systems His recent publication record (2023-2025) shows a strong emphasis on developing practical XAI solutions, particularly through the iSee platform which addresses the challenge of personalized explanations for diverse AI users. His work bridges theoretical AI research with practical applications in healthcare, regulatory compliance, and industrial domains like Oil and Gas decommissioning. Dr. Corsar has received research funding for multiple projects: iSee: Intelligent Sharing of Explanation Experience (2021-2024) Prophecy Project: Intelligent Decommissioning Materials Management (2019-2020) Intelligent System for assisted medical diagnosis for CARDIOvascular diseases (2020-2021) Building resilience in Health and Social Care students during Covid-19 (2020) As an educator, Dr. Corsar coordinates several technical modules including Native Android App Development, Internet of Things, Data Structures and Algorithms, and Knowledge Modelling and Reasoning. He is actively involved in supervising PhD students working on cutting-edge AI research topics and welcomes Honours and Masters projects aligned with his research areas. Dr. Corsar is a member of the Artificial Intelligence & Reasoning Research Group at RGU, contributing to the university's research theme 'Living in a Digital World.' His work on the W3C Provenance Working Group has helped develop standards for provenance information interchange on the Web, demonstrating his commitment to advancing foundational aspects of AI systems.

• Intelligent information retrieval systems
• Ontology engineering
• Semantic web technologies
• +۴ مورد دیگر

Dr. Ikechukwu Nkisi-Orji is a Research Fellow at Robert Gordon University's School of Computing, Engineering & Technology, where he conducts research at the intersection of artificial intelligence, semantic technologies, and case-based reasoning. He is affiliated with the university's Artificial Intelligence & Reasoning Research Group and has extensive collaboration experience with the British Geological Survey and Oil and Gas Innovation Centre. His research focuses on intelligent information retrieval systems, ontology engineering and alignment, semantic web technologies, natural language processing, and case-based reasoning applications to real-world problems. Dr. Nkisi-Orji has made significant contributions through the development of the CloodCBR platform, a cloud-based CBR framework that received an honorable mention at ICCBR 2020, and the iSee platform for personalized explainable AI experiences. His recent publication trends (2023-2025) show a strong focus on integrating case-based reasoning with modern AI techniques, particularly large language models and retrieval-augmented generation systems. His work increasingly addresses explainable AI challenges, legal question answering systems, and methods for improving the reliability of AI outputs in specialized domains. Honourable mention at ICCBR 2020 for CloodCBR platform Dr. Nkisi-Orji has active supervision availability for PhD students in Semantic Information Retrieval, Natural Language Processing, and Ontology design/alignment/application. His research is supported by collaborations with industry partners including the Oil and Gas Innovation Centre, where he has worked on extracting business intelligence from text and applying case-based reasoning to asset inventory management. As the key architect of the CloodCBR platform and contributor to the iSee XAI platform, Dr. Nkisi-Orji leads research efforts focused on making AI systems more transparent, reliable, and applicable to industrial-scale problems through the integration of traditional AI methods with contemporary approaches.