جستجوی استاد راهنمای دانشگاهی

Fadila Bentayebمشاهده پروفایل

دانشیار

• NoSQL Data Warehouses
• Text Warehousing
• Personalization & Recommendation Systems
• +۵ مورد دیگر

Fadila Bentayeb is an Associate Professor (HDR) at the University of Lyon 2, affiliated with the ERIC Laboratory and the Department of Informatics and Statistics (DIS). She leads the Complex Data Warehousing and OLAP research team (SID) and has served as Head of the first year of the Master's degree in Computer Science at the Institute of Communication (ICOM) since 2014. Her work bridges academic research and practical applications in data-intensive systems. HDR (Habilitation to Direct Research), University of Lyon 2 (2011) Ph.D. in Computer Science, University of Orléans (1998) Her research focuses on NoSQL data warehouses, text warehousing, and personalization systems, with emphasis on scalable architectures and context-aware analytics. Recent work explores AI-driven security in IoT networks and temporal modeling for evolving data structures. Key trends in her publications include: (1) Graph-based multidimensional modeling (GAMM framework), (2) Optimization of distributed big data warehouses using machine learning, (3) Medical text classification via hybrid CNN-LSTM models, and (4) Temporal data warehouse evolution. As part of the ERIC Laboratory’s leadership team, she contributes to strategic research directions and mentors students in advanced data systems. Her technical expertise extends to Hadoop/Spark optimization, OLAP cube design, and semantic integration of heterogeneous data sources.

Aleksandra Wachمشاهده پروفایل

استاد

• Applied Linguistics
• Language Education
• Second Language Acquisition
• +۵ مورد دیگر

Aleksandra Wach is a Professor at the Faculty of English, Adam Mickiewicz University, Poznań. With a career spanning decades, she holds a D.Litt. in linguistics (2020) and has specialized in second language acquisition, teacher training, and the role of native language in foreign language education. M.A. in English (1994) PhD in English (2003) D.Litt. in linguistics (2020) Her research focuses on L2 grammar learning, learner and teacher autonomy, and the integration of L1 in EFL instruction. She has pioneered multinational telecollaboration projects and explored the affective dimensions of language education. Her recent publications examine intercultural training, code-switching dynamics, and telecollaboration strategies. She has participated in Erasmus+ mobility programs across Spain, Italy, Romania, and Turkey, and led the EFUESTE project on European Portfolio integration in teacher training. Active in professional circles, she collaborates with the Polish Association of Teachers of Foreign Languages (PTN) and contributes to international conferences like IATEFL, TESOL, and AILA. Her work bridges classroom research, technology-enhanced learning, and multilingual education.

Joachim Falkمشاهده پروفایل

پژوهشگر

• Electronic System Level Design
• Hardware-Software Co-Design
• Data-Flow Graphs
• +۶ مورد دیگر

Joachim Falk is a researcher at the Department of Hardware-Software Co-Design (Computer Science 12) at Friedrich Alexander University Erlangen-Nuremberg. With over 20 years of experience since joining the department in 2004, he specializes in electronic system level design, dataflow programming, and hardware-software co-design, contributing significantly to the field through publications, teaching, and research leadership. His educational background includes: Doctorate degree (Dr.-Ing.) in Computer Science from FAU (2014) Diploma degree in electrical engineering (data processing) from Georg-Simon-Ohm University of Applied Science Nuremberg (2002) Falk's research focuses on Electronic System Level Design, Hardware/Software Code Generation for Data-Flow Graphs, Compiler Optimizations, and Parallel Architectures. His work bridges theoretical computer science with practical embedded systems implementation, particularly through the SystemC framework and his contributions to the SysteMoC language. He actively explores energy-efficient computing approaches for dataflow networks and embedded systems, with recent work emphasizing self-powering networks, clock and power gating techniques, and multi-reader buffer implementations for heterogeneous architectures. His recent publication trends reveal a consistent focus on optimizing dataflow networks for energy efficiency and performance. Key themes include self-powering dataflow networks, innovative clock and power management techniques, buffer management strategies for heterogeneous many-core systems, and invasive computing approaches. His research demonstrates a strong connection between theoretical models and practical implementation challenges in embedded systems design. Dr. Falk teaches courses including 'Entwicklung interaktiver eingebetteter Systeme' (Development of Interactive Embedded Systems) for Winter Semester 2024/2025 and 'SystemC' for Summer Semester 2024, supervising multiple theses on security modeling at the electronic system level and sleep/wake-up strategies for hardware implementations of dataflow networks. His research is conducted within the framework of projects like SysteMoC (representation of computational models in SystemC) and SystemCoDesigner (design space exploration for embedded systems).

• Distributed Systems
• Service-Oriented Computing
• Cloud Computing
• +۴ مورد دیگر

Winfried Lamersdorf is a full professor in the Department of Computer Science at the University of Hamburg , leading the Distributed Systems (VSIS) research unit. His career spans from IBM's European Networking Centre to leading numerous DFG, EU, and industry-funded projects. Major research interests include: Service-oriented computing (SOA, Web Services) Mobile and ubiquitous systems Agent-oriented software construction Self-organizing systems Context-aware middleware Cloud/edge computing Applications in E-Health, Smart Cities, and Industrial Informatics Recent projects like SANE (Smart Networks for Citizen Participation), CloudAware (context-adaptive mobile cloud systems), and FYPA²C (future production automation) highlight his focus on urban data spaces, energy-efficient mobile systems, and evolutionary software management. His scientific contributions span 200+ publications, with 15 recent articles covering topics such as: Complex event processing Decentralized blockchain coordination Context-aware computation offloading Model-driven production system evolution BDI agent architectures Service composition patterns Advising over 20 PhD students including Heiko Bornholdt (Smart Cities), Philipp Kisters (Distributed Platforms), and Gabriel Orsini (Mobile Clouds, 2016), Lamersdorf has shaped research in distributed applications through long-term collaborations with institutions like TU Munich, HSU Hamburg, and international IFIP committees.

Şükran ORUÇمشاهده پروفایل

استادیار

• Management Information Systems
• Organizational Behavior
• Digital Transformation
• +۷ مورد دیگر

Şükran ORUÇ is an Assistant Professor in the Department of Management Information Systems at Beykent University, Faculty of Economics and Administrative Sciences. She is also affiliated with Istanbul Arel University in the same academic role since 2023. Her primary email for academic communication is sukranoruc@beykent.edu.tr, and she holds an ORCID identifier (0000-0002-8176-4058), indicating active scholarly contributions. Her research interests span a broad range of topics in management and information systems, including digital transformation , cyber security , organizational behavior , leadership in SMEs , and psychological aspects at work such as burnout, imposter syndrome, and personality traits. She frequently explores the intersection of technology and human factors in organizations. Her recent publications indicate a strong focus on contemporary issues like Industry 4.0 awareness among students, security in digital transformation, and innovation strategies influenced by leadership. The thematic trends in her work reflect a consistent interest in understanding human behavior within organizational and technological contexts. She has presented her research at various national and international conferences, including the International EMI Entrepreneurship and Social Sciences Congress, International Conference on Eurasian Economies, and the Istanbul Beykent International Health Sciences Research Days Congress. Her work appears in both full-text and abstract formats across these venues. Stigma in Management Literature: A Bibliometric and Thematic Review (2025) The Changing Face of Security Perception in Digital Transformation: Cyber Security (2024) Examining the Imposter Phenomenon in Terms of Burnout and Self-Efficacy (2024) Examining Students' Industry 4.0 Awareness Levels (2022) There is no mention of formal advising roles, grants, or awards in the provided text. She collaborates with researchers such as Mehmet Halit Yildirim, Gozde Sunman, Begum Yalcin, and others, indicating active participation in research teams. No specific lab or research center affiliation is mentioned, but her work suggests engagement with interdisciplinary research groups focused on management, technology, and organizational psychology.

• Activity Analysis
• Psychomotor Therapy
• Educational Sciences
• +۵ مورد دیگر

Marion Paggetti is a Researcher-lecturer at Institut Agro Dijon, affiliated with the Vocational training and apprenticeships (FoAP) school and the Digital Innovation Laboratory for Businesses and Learning to Support Territorial Competitiveness (LINEACT). She is actively engaged in research on activity analysis, psychomotor therapy, and professional learning, with a focus on body-dominant inquiry and learning processes in human interaction professions. Her educational background includes: PhD in Educational and training sciences, CIRNEF (EA 7454), University of Caen-Normandie, 2020. Dissertation: "The psychomotor therapists' 'body-dominant inquiry'. Adjustment activity and learning the work" Psychomotor therapist qualification, Sorbonne-Université, 2015 Dr. Paggetti's research focuses on the analysis of adaptive, "body-dominant" activity in professions addressed to others, particularly in psychomotor therapy. She examines how professionals adjust their activities through bodily engagement with clients/patients. Her work also explores pedagogical and learning activities mediated by new technologies in higher education, especially in engineering schools. She investigates how professional experience is constructed through activity coupling between subjects, with particular attention to the micro-adjustments that occur in human interaction professions. Her recent publications demonstrate a consistent focus on activity analysis methodology, particularly the "micrological" approach to studying professional work. She frequently examines how professionals in human interaction fields (like psychomotor therapists, shepherds, and other care professionals) develop expertise through bodily engagement with their work. Her research bridges educational sciences, work analysis, and professional didactics, with increasing attention to digital technologies in professional learning contexts. Dr. Paggetti is actively involved in scientific communities, serving as a member of the Scientific Council of SNUP-Respir Formation. While specific awards aren't documented in the provided materials, her extensive publication record in reputable journals demonstrates recognition within her academic community. She currently supervises PhD candidate A. HELL, whose research examines "Learning and pedagogical uses of AI in the context of active pedagogy in engineering schools" (defense expected in 2027). Her research is supported through programs like JENII (2021-2025) and CAIRO Confluences, which focus on integrating digital technologies into professional education and active learning pedagogies. As part of LINEACT (Digital Innovation Laboratory for Businesses and Learning to Support Territorial Competitiveness), Dr. Paggetti contributes to research on how digital innovation can support professional learning and business competitiveness. Her work within this laboratory connects theoretical activity analysis with practical applications for professional development in various sectors.

Hong-Linh Truongمشاهده پروفایل

دانشیار

• Cloud Computing
• Internet of Things (IoT)
• Big Data Analytics
• +۹ مورد دیگر

Hong-Linh Truong is an Associate Professor (tenured) at the School of Science , Aalto University in Finland. She leads the AaltoSEA Group focused on Systems and Services Engineering Analytics. Additionally, she holds an Adjunct Associate Professor position at the Faculty of Informatics, TU Wien, Austria. Her research spans Cloud Computing Internet of Things (IoT) Big Data Analytics Distributed Systems Elastic Computing Context-aware Systems with particular emphasis on engineering analytics for hybrid cloud-IoT systems and service elasticity management. Analysis of her 15 most recent publications reveals focus areas including Edge Computing (5 papers) Blockchain Applications (3 papers) Machine Learning Systems (2 papers) Cyber-Physical Systems (2 papers) Collaborative Computing (2 papers) Resource Orchestration (1 paper) Scientific achievements include Best Poster Award at European Grid Conference 2005 Best Paper Award at CAiSE'12 She actively collaborates with institutions across Europe and Asia, with research applications in both industrial contexts (air traffic management, manufacturing) and public sectors (disaster response, sustainability governance). Her work integrates theoretical foundations with practical implementations, as evidenced by numerous toolset developments like SCALEA-G and IoTCloudSamples.

• Virtual Reality
• Augmented Reality
• Data Visualisation
• +۵ مورد دیگر

Ross Brown is an Associate Professor at Queensland University of Technology (QUT) in the School of Computer Science, specializing in virtual and augmented reality technologies. His academic journey includes a PhD from QUT and extensive contributions to immersive technology research and education. Position: Associate Professor Institution: Queensland University of Technology School: School of Computer Science Education: PhD (Queensland University of Technology) Professor Brown's research focuses on Virtual Reality, Augmented Reality, Data Visualisation, Process Visualisation, Information Visualisation, Computer Graphics, and Games Technology within the broader field of Artificial Intelligence and Information and Computing Sciences. His work spans applications in healthcare, education, environmental monitoring, urban planning, and industrial training, demonstrating the versatility of immersive technologies across multiple domains. His recent publications reveal a strong emphasis on practical applications of immersive technologies, with research spanning healthcare rehabilitation, geological education, urban engagement, surgical applications, and environmental monitoring. The interdisciplinary nature of his work is evident in collaborations with researchers from diverse fields including medicine, environmental science, urban planning, and education. Augmented Reality applications in surgery and rehabilitation Virtual Reality systems for geological education and training Immersive environments for industrial process training VR/AR applications for environmental monitoring Location-based VR for esports and social interaction Professor Brown has received significant recognition for his expertise, including multiple keynote invitations to international conferences such as BPM2017 in Lisbon, Assurance webinars on trusted autonomous systems, and Engage2 conferences. He has served as an International Researcher of Note for ARC funding assessments and has been a regular speaker at Microsoft Tech Ed since 2006. His academic service includes reviewing for major conferences including MSRA Gaming & Graphics, Graphite, AVI, and BPM, as well as serving as a reviewer for journals such as Future Generation Computer Systems and Knowledge and Information Systems. Professor Brown has supervised numerous doctoral and master's students, with completed projects focusing on visual immersion, collaborative business process modeling, and 3D virtual environment validation.

• Computer Science
• Artificial Intelligence
• Deep Learning
• +۴ مورد دیگر

Tengda Han is a research scientist at Google DeepMind , focusing on video understanding and visual-language models . He previously completed his PhD at the University of Oxford under Andrew Zisserman and earned a Bachelor of Engineering from Australian National University in mechanical & material engineering, with prior studies in business administration and law at Renmin University of China . Research Interests: His work explores neural networks for video analysis, including self-supervised learning , video captioning , object counting , and prompt engineering . Key projects include AutoAD for movie description, Temporal Alignment Networks , and Dense Predictive Coding for video representation. Scientific Awards: Best Paper Award at ACCV 2024 Best Poster Award at BMVC 2023 BMVA Sullivan Doctoral Thesis Prize Runner-up Collaborations & Students: He has collaborated with researchers like Andrew Zisserman , Max Bain , and Arsha Nagrani , and mentored students Junyu Xie , Toby Perrett , and Niki Amini-Naieni on projects including Shot-by-Shot and Unique Video Captioning .

Christophe Desprésمشاهده پروفایل

استادیار

• Technology Enhanced Learning
• Intelligent Tutoring Systems
• Learning Analytics
• +۵ مورد دیگر

Christophe Després is an Assistant Professor at Le Mans University, France, since 2002, conducting research at the LIUM Laboratory (Laboratory of Image, Information and Human-Machine Interaction) within the IEIAH team. His work focuses on Technology Enhanced Learning with emphasis on developing software tools to assist teachers and learners in organizing educational activities, particularly through systems like Hop3x for programming education. His research spans Intelligent Tutoring Systems, Learning Analytics, and Synchronous Tutoring, with specific expertise in indicator-based teacher support, programming education environments, and adaptive learning scenarios. Key projects include HOP3X, APLG, Reflet, and Essaim, targeting practical implementations for real-time educational monitoring and intervention analysis. Analysis of his 15 most recent publications (2009-2016) reveals consistent focus on meta-indicators for teacher intervention effectiveness, self-regulation support mechanisms, and context-aware learning scenario engineering, predominantly applied to programming education and practical work environments. Scientific awards: No scientific awards explicitly mentioned in source materials Després has secured research funding through multiple collaborative projects including HOP3X and Essaim, focusing on educational software development for distance learning and programming education. He maintains active research partnerships with Pierre Jacoboni, Dominique Py, Aina Lekira, and Christophe Choquet, with significant contributions to IEEE ICALT and ITS conference proceedings. He operates within the LIUM Laboratory's IEIAH team (Environnements Informatiques pour l'Apprentissage Humain), specializing in human-computer interaction for educational contexts, with particular emphasis on real-time monitoring systems and teacher-learner interaction frameworks.

Pierre Jacoboniمشاهده پروفایل

استادیار

• Technology Enhanced Learning
• Intelligent Tutoring Systems
• Learning Analytics
• +۳ مورد دیگر

Pierre Jacoboni is an Assistant Professor at Le Mans University's LIUM Laboratory since 1994, specializing in Technology Enhanced Learning. His work focuses on developing software systems that assist educators and learners through intelligent tutoring environments and learning analytics. His educational background includes a Ph.D. in Computer Science from the University of Paris 6 (France) in 1993. This foundational expertise enabled his transition into educational technology research where he bridges computer science with pedagogical innovation. Dr. Jacoboni's research centers on intelligent tutoring systems with particular emphasis on programming education through his Hop3x environment. His work develops indicator-based approaches for teacher support, meta-indicators for intervention analysis, and context-aware learning scenarios. The recurring theme across his publications is enhancing educational effectiveness through real-time analytics and adaptive systems that support both teachers' regulatory processes and students' learning activities in practical work settings. Analysis of his publication trajectory (2009-2016) reveals consistent focus on teacher support systems and learning analytics. His research demonstrates progressive refinement of indicator-based methodologies, evolving from basic tracking systems to sophisticated meta-indicator frameworks that measure intervention effectiveness. The Hop3x environment represents his most substantial contribution, specifically designed for programming education through structured practical work environments. As a core member of the LIUM Laboratory, Dr. Jacoboni collaborates extensively with Christophe Despres, Dominique Py, and Aina Lekira on projects including PEPITE, LINGOT, DIADEME, SAAFIR, and the ongoing PEDALO initiative. While student advising isn't explicitly documented, his projects have directly influenced educational practices through implemented tools used in university teaching environments. The LIUM Laboratory serves as his primary research base, where he contributes to France's national efforts in educational technology. His work with the PEDALO project continues to develop methods for organizing training activities, with Hop3x remaining a key platform for programming education research and implementation.

Hausi Müllerمشاهده پروفایل

استاد

• Software Engineering
• Quantum Computing
• Self-Adaptive Systems
• +۱۱ مورد دیگر

Hausi Müller is a Professor in the University of Victoria 's Department of Computer Science under the Faculty of Engineering & Computer Science . He serves as Chair of the IEEE Quantum Technical Community and co-founded the IEEE International Conference on Quantum Computing & Engineering . His academic journey began with a Ph.D. in Computer Science from Rice University (1986), followed by a Master's degree (1984) and a Dip.-Ing. from Swiss Federal Institute of Technology (1979). Research Interests: Dr. Müller's work spans quantum software engineering , self-adaptive systems , cyber-physical systems , and program understanding . He pioneered the Rigi reverse engineering tool and developed frameworks like SAVI for adaptive video analytics. Recent Publications: His 2025 articles focus on penalty-free quantum optimization and hybrid quantum software engineering , while 2024 contributions explore quantum cryptography education and notation translation tools . Earlier works address energy consumption modeling and cyber-physical system design . Awards: 2024 IEEE Computer Society Distinguished Leadership Award 2023 IEEE iCON Award for Quantum Week 2011 IBM Canada CAS Research Project of the Year for Personal Context Sphere 2012 CASCON Best Paper Award for SmarterDeals Fellow of the Canadian Academy of Engineering (FCAE) and Canadian Software Engineering Association (FCSSE) Grants & Projects: 2024-29 NSERC Quantum Software Consortium 2023-28 NSERC Discovery Grant for Hybrid Quantum Systems 2021-25 IBM CAS Cognitive Digital Twin Framework 2018-25 NSERC CREATE for Dependable IoT Applications Leadership: Dr. Müller has held multiple IEEE leadership roles since 2015, including Vice President of IEEE CS Technical & Conferences Board (2016-18), and active involvement in organizing international workshops in Shonan (Japan) and Dagstuhl (Germany).

Irina Nikishinaمشاهده پروفایل

پژوهشگر

• Semantics
• Argument Mining
• Taxonomy Enrichment
• +۳ مورد دیگر

Irina Nikishina is a postdoctoral researcher at the University of Hamburg's Department of Informatics, working in the Language Technology Group under Prof. Chris Biemann. As a researcher in computational linguistics and natural language processing, she contributes to projects like ACQuA-2.0, focusing on semantics, argument mining, taxonomies, and knowledge graphs. PhD in Computational and Data Science and Engineering (2022), Skolkovo Institute of Science and Technology Bachelor's and Master's degrees from National Research University Higher School of Economics (NRU HSE) Her research spans taxonomy enrichment, comparative question answering systems, and biomedical concept representation. She organizes shared tasks like RUSSE’2020 and RuArg-2022, and co-founded the RusNLP semantic search engine for Russian NLP conferences. She chairs the Network Analysis track at the International Conference on Analysis of Images, Social Networks and Texts (AIST) and has served as secretary for AIST 2020 and 2021. Recent publications focus on large language models' performance in lexical semantics, multilingual comparative argumentation systems, and knowledge graph integration for QA tasks. Her work includes developing tools like TaxFree for candidate-free taxonomy enrichment and exploring cross-modal approaches for taxonomic graph expansion.

Ying Zhangمشاهده پروفایل

استادیار

• Software Engineering
• Software Security
• Program Analysis
• +۳ مورد دیگر

Ying Zhang is an Assistant Professor in the Department of Computer Science at Wake Forest University (WFU) since 2025. Her research focuses on bridging theoretical security knowledge with practical implementation in open-source projects through program analysis and large language models (LLMs). Current Affiliation: Wake Forest University Academic Rank: Assistant Professor Department: Computer Science Office: Room 236, Manchester Hall Research Interests: Dr. Zhang’s work centers on software security, program analysis, and LLM vulnerabilities. She conducts empirical studies to explore secure coding challenges and develops tools to mitigate vulnerabilities in open-source applications. Scientific Awards: Google Cloud Research Credits Award (Sole PI) Wake Forest Research Fellowship (URECA) Award (for student Ruicheng Miao) Advising and Grants: Dr. Zhang supervises students in the SE Lab and has secured grants such as the Google Cloud Research Credits Award. She welcomes self-motivated students with programming proficiency to join her research team.

Martin Bilodeauمشاهده پروفایل

استاد

• Technology and Health Technologies
• Motor System
• Neurosciences
• +۷ مورد دیگر

Martin Bilodeau is a Full Professor in the Department of Rehabilitation Sciences at the Faculty of Health Sciences, University of Ottawa. His research focuses on physical factors influencing mobility during normal and pathological aging, with affiliations to the Life Research Institute (2019-present), uOttawa Brain and Mind Research Institute (2018-present), and Bruyère Research Institute (2017-present). Ph.D., Biomedical Sciences (Rehabilitation), Université de Montréal (1993) Bachelor of Science, Physiotherapy, Université de Montréal (1988) His work spans Technology and Health Technologies , Muscle Fatigue , Postural Control , and Virtual Reality Rehabilitation . Recent studies examine fear of movement in chronic conditions, remote concussion assessment protocols, and telerehabilitation efficacy for TBI patients. Articles highlight aging-related mobility barriers, sensor-based monitoring, and neuromuscular interactions. Key affiliations include: Life Research Institute (2019–present) uOttawa Brain and Mind Research Institute (2018–present) Bruyère Research Institute (2017–present) Current supervision includes Miriam Goubran (Ph.D. expected 2024) and Nathalie Todam Nguepnang.