جست‌وجوی استاد و پژوهشگر

Jose Luis Fernandez Alemanمشاهده پروفایل

استاد

• Software Engineering
• Computer Science
• Systems Engineering
• +۳ مورد دیگر

Jose Luis Fernandez Aleman is a Professor in the Department of Computer Science and Systems Engineering at the Faculty of Informatics, Universidad de Murcia. His research focuses on Software Engineering, Formal Methods, and Unified Modeling Language (UML) modeling. He earned his PhD from Universidad de Murcia in 2002 with the thesis Una propuesta de formalización de la arquitectura en cuatro capas de UML , supervised by Dr. José Ambrosio Toval Álvarez. Research Group: Software Engineering (formerly part of Ingenieria del Software). Research Interests Dr. Aleman specializes in formalizing software architectures and UML evolution, with applications in systems engineering and object-oriented design. His 2000 publication on holistic UML modeling reflects his expertise in formal specifications. Publications His notable work includes Formally modeling UML and its evolution: A holistic approach (2000), which bridges formal methods and software architecture.

• Artificial Intelligence
• Business Process Modeling
• Knowledge Engineering
• +۹ مورد دیگر

Antoni Ligęza is a Professor at the Department of Applied Informatics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology in Kraków. His research focuses on artificial intelligence, business process modeling, constraint programming, and knowledge engineering. He actively explores explainable AI methodologies, including grammatical evolution and temporal logic-based approaches.

• modeling of the educational process
• information technology in education
• databases
• +۳ مورد دیگر

Natalia Volodymyrivna Shcherbak serves as a Senior Lecturer in the Department of Computer Systems and Networks at Zaporizhia State Technical University's Faculty of Computer Science and Technology, where she also holds the position of Deputy Dean. With over two decades of academic experience since joining the university in 2001, she has established herself as a dedicated educator and researcher in computer science. Dr. Shcherbak graduated from Zaporizhia State Technical University in 2001 with a specialty in "Computer systems and networks" and a qualification as "systems engineer." Her educational background has provided the foundation for her academic career focused on computer science education and research. Her research interests span several key areas including modeling of the educational process, information technology in education (particularly Learning Management Systems), databases, web services, and Service-Oriented Architecture (SOA). Her scholarly work demonstrates a consistent connection between theoretical computer science concepts and practical educational applications, with particular emphasis on developing methodologies for assessing educational quality and optimizing learning experiences through technology. Analysis of her publication trends from 2014-2024 reveals a strong research trajectory in web services quality assessment, decision-making methods for service selection, and educational process modeling. Her recent work (2022-2024) advances multi-criteria decision-making methodologies for QoS-based web service environments, while her earlier publications (2016-2018) focus on test task quality assessment methods and educational resource development. Quality assessment methodologies for web services Educational process modeling and optimization Test task quality and complexity evaluation Computer science curriculum development Throughout her career, Dr. Shcherbak has taught a diverse range of computer science subjects including Assembly language programming, database organization, algorithms and calculation methods, programming, computer logic, and modern programming methods. Her teaching portfolio demonstrates expertise across both theoretical foundations and practical applications in computer science education.

James Gellerمشاهده پروفایل

استاد

• Medical Informatics
• Semantic Web Technology
• Object-Oriented Database Modeling
• +۵ مورد دیگر

James Geller is a Professor and Chair of the Department of Data Science at the Ying Wu College of Computing, New Jersey Institute of Technology (NJIT). With expertise in medical informatics, semantic web technology, and knowledge representation, he has published over 200 papers and led significant research initiatives in biomedical ontologies and AI-driven data analysis. Education Ph.D. in Computer Science, SUNY Buffalo (1988) M.S. in Computer Science, SUNY Buffalo (1984) Diplom Ingenieur in Electrical Engineering, Technische Universitaet Wien (1979) Dr. Geller's research focuses on biomedical ontology auditing , interface terminology development , and AI applications for EHR skimming . Recent work explores large language models for ontology enrichment, fake news detection in social media, and policy analysis frameworks. His publications (2025-2024) highlight advancements in: Biomedical ontology quality assurance AI-driven EHR annotation systems Social media analytics for public health Virtual reality-based ontology manipulation Fake news and misinformation detection Policy evaluation methodologies Scientific Awards Fellow of the American College of Medical Informatics (ACMI), 2012 NJIT Master Teacher Designation, 2005 NJIT Teaching Awards (2002, 2003, 2011) NJIT College Research Award, 2010 Dr. Geller has secured major grants from NIH (family-based QA for biomedical ontologies, social determinants of health) and NSF (iSECURE cybersecurity education, urban youth computing mentorship). He co-founded SABOC (Structural Analysis of Biomedical Ontologies Center) and actively contributes to the BRAID Consortium's diversity initiatives in computing.

• Software Engineering
• Gamification
• Mobile Computing
• +۷ مورد دیگر

Giacomo Garaccione is a Ph.D. candidate in Computer and Systems Engineering at the Polytechnic University of Turin , affiliated with the Department of Control and Computer Engineering (DAUIN) and the SOFTENG - Software Engineering Group . He holds an MSc in Computer Engineering (Software) from the same institution. Current Role : Ph.D. candidate (38th cycle, 2022-2025) Teaching : External lecturer and teaching assistant for Information Systems and Software Engineering courses in Engineering and Management and Computer Engineering programs (2022-2025). His research focuses on applying gamification to software engineering education , with emphasis on conceptual modeling and GUI testing . He develops gamified tools like UMLegend and GERRY , integrating artificial intelligence and natural language processing for automated model validation and feedback. Publications analyze gamification’s impact on student productivity and perception in UML/BPMN education. Scientific recognition : Nominated for merit awards (2025). Collaborator on multiple studies involving large language models and gamified IDE plugins , with ongoing work to create a comprehensive gamified environment for software modeling and requirements training.

Yves Ledruمشاهده پروفایل

استاد

• Software Engineering
• Formal Methods
• Specification and Modeling
• +۵ مورد دیگر

Yves Ledru is a Professor at UFR IM2AG of Université Grenoble Alpes (formerly Université Joseph Fourier), where he also serves as Deputy Director. He is a member of the Laboratoire d'Informatique de Grenoble (LIG) and heads the VASCO research team. Additionally, he serves on the bureau of the GDR GPL national research group of the CNRS. Professor Ledru's research focuses on Software Engineering and Formal Methods. His primary interests include Specification and Modeling, Software Architecture, Testing, and the application of formal specification languages such as JML, VDM, and Z Notation. His team has developed several tools including RoZ (for integrating UML and Z specifications), B4MSecure, Tobias (for combinatorial testing), and ParTraP. His recent research projects include ANR Philae (2018-2022), ANR MODMED (2015-2019), and NExTRegio project of IRT Railenium (2015-2019). Professor Ledru has been actively involved in the academic community, serving on program committees for numerous conferences including Crisis 2024, MEDI 2023, and RSSRail 2023. He was a member of the steering committee of the ASE conference from 1997 to 2013, serving as chair from 2001 to 2007. His publication record shows a consistent focus on bridging formal methods with practical software engineering applications, particularly in specification languages and testing methodologies. He has supervised twelve PhD students to completion and currently supervises Alexandre Monnier. His former administrative responsibilities include leading the ISLE research cluster of the Rhône-Alpes Region (2007-2011) and serving as scientific responsible for the ARC6: Technologies de l'Information et de la Communication (2011-2017).

• Cloud Computing
• Requirements Engineering
• Strategic Management of Information Systems
• +۱ مورد دیگر

Dr. Huseyin Dagdeviren serves as Senior Lecturer and Director of Employability in the School of Computer Science and Engineering at the University of Westminster, where he actively contributes to the Centre for Parallel Computing (CPC). With over two decades of academic experience, he bridges theoretical research with industrial applications through major EU-funded initiatives. His educational foundation includes a BA (Honours) in Business Administration and MSc in Information Systems. This interdisciplinary background informs his research approach, combining technical cloud computing expertise with strategic business perspectives. Dr. Dagdeviren's research centers on complex information systems, with specialized focus on Cloud Computing, Requirements Engineering, and Strategic Management of IT. His work drives innovation in cloud-to-edge orchestration and digital manufacturing through Horizon 2020 projects like CloudiFacturing and DIGITbrain, addressing critical industry challenges in SME digital transformation. Analysis of his 2004-2023 publications reveals an evolving trajectory from foundational database and UML education research toward cutting-edge distributed systems. Recent work (2021-2023) dominates in cloud/edge computing, demonstrating strategic alignment with funded projects and industrial relevance in manufacturing simulation and digital twin deployment. As Director of Employability, he oversees career development programs while securing substantial EU grants including CO-VERSATILE (2020) and DIGITbrain (2020). These multi-institutional projects provide robust funding for the CPC lab and create direct industry pathways for students. The Centre for Parallel Computing operates as his primary research hub, facilitating international collaboration across 10+ European countries. Students benefit from exposure to large-scale EU consortia, industry partnerships with Siemens/Bosch, and hands-on development of production-grade cloud orchestration platforms.