جستجوی استاد راهنمای دانشگاهی

Yves Wautelet serves as an Associate Professor at the Faculty of Economics and Business at KU Leuven, where he conducts research in conceptual modeling, business process management, and digital transformation. His work addresses critical challenges at the intersection of information systems engineering and business strategy, with particular focus on sustainability-driven modeling approaches and IT governance frameworks. His primary research interests include: Conceptual modeling methodologies and frameworks Business process management and information systems design Digital transformation strategies and implementation IT governance and business-IT alignment Sustainability-driven modeling for circular economy Agile software development practices and methods Requirements engineering with user stories Wautelet's recent publication record demonstrates significant scholarly productivity with numerous 2024-2025 publications spanning conceptual modeling frameworks for sustainability (Circulise), tools for identifying ambiguity in user stories (AmbiTRUS), and approaches to align strategic and operational agility. His work bridges theoretical foundations with practical applications across diverse domains including healthcare, circular economy, software development, and organizational transformation. His research consistently applies model-driven approaches to solve complex real-world problems, often integrating sustainability considerations into information systems engineering. As a promotor and co-promotor, Wautelet currently supervises multiple doctoral research projects including: Automatic generation of conceptual models from textual descriptions (2024-2028) Sustainability-Driven Modeling Assistant for Twin Transition in Vietnam (2024-2028) Home Care Business Process Management using Distributed Ledger Technologies (2024-2028) Teaching Modeling Skills in BPMN formalism (2021-2025) His research is conducted through the Information Systems Engineering Research Group (LIRIS) at KU Leuven's Brussels campus, where he contributes to advancing model-driven approaches for addressing contemporary business and technological challenges.

• Conceptual Modeling
• Business Process Management
• Digital Transformation
• +۵ مورد دیگر

Peter Karsmakers serves as Associate Professor at KU Leuven's Department of Computer Science within the Faculty of Engineering Technology, based at the Geel Campus. He coordinates the Declarative Languages and Artificial Intelligence (DTAI) research group and holds leadership roles including coordinator of Research and Education for Computer Science across Geel and Diepenbeek Campuses. Karsmakers earned his PhD in Engineering Science in May 2010, focusing on kernel-based learning algorithms for sparse modeling and efficient predictions from large datasets. His doctoral work established foundations for his current research trajectory in resource-constrained machine learning systems. His research integrates machine learning with signal processing for real-time sensor data interpretation, specializing in anomaly detection from acoustic, radar, and accelerometer signals on embedded devices. Current projects address industrial condition monitoring, elderly care systems, and livestock facility monitoring through three main tracks: acoustic monitoring (e.g., SINS, WATCHDOG), radar-based systems (e.g., FARADAY, NextPerception), and smart electronics for power converters. Recent publications demonstrate strong trends in constraint-guided deep learning architectures for industrial applications, cross-environment robustness in sensor systems, and domain-knowledge integration to reduce data requirements. His work consistently bridges theoretical machine learning with practical implementations in resource-constrained environments. No scientific awards or fellowships were mentioned in the provided materials. Karsmakers supervises over 10 master's theses annually and coordinates a research team of 10 PhD students and a post-doc within DTAI-ADVISE. He has secured approximately 2.3 million euros in funding through VLAIO, EU-ECSEL, and bilateral industry contracts, including 10 active projects such as AutoEdgeML (2024-2028) and Fault Tolerant Neural Networks for Space Applications (2024-2027). He leads the DTAI-ADVISE research group focused on developing software that attaches semantics to sensor data on resource-constrained devices. The team operates across multiple campuses with specialized labs for acoustic monitoring (Geel), radar-based systems (in collaboration with ESAT-TELEMIC), and smart electronics (with Electrical Engineering department), maintaining strong industry partnerships with companies in healthcare, manufacturing, and agriculture sectors.

• Machine Learning
• Deep Learning
• Anomaly Detection
• +۵ مورد دیگر

Jef Poortmans is a Visiting Professor at KU Leuven, Belgium, specializing in photovoltaic technologies and solar energy systems. His research spans multiple applications including conventional solar installations, agrivoltaics, vehicle-integrated photovoltaics, and tandem solar cell configurations. Affiliated with the Electa department at KU Leuven, he maintains an active research profile with numerous publications extending into 2025. His research interests focus on advancing photovoltaic technology across multiple dimensions. Poortmans investigates thermal modeling to improve energy yield predictions, develops lightweight PV modules for vehicle integration, explores agrivoltaic systems that combine agriculture with solar energy production, and works on next-generation perovskite and tandem solar cell technologies. His work often addresses practical implementation challenges including reliability under various environmental conditions, mechanical integration requirements, and performance optimization for specific applications. Analysis of his recent publications reveals a strong emphasis on practical implementation challenges of photovoltaic systems. His work spans fundamental materials science (particularly for perovskite and thin-film technologies), system integration challenges (especially for vehicle applications), and innovative approaches to land use optimization through agrivoltaics. A recurring theme is addressing reliability and performance issues under real-world operating conditions rather than ideal laboratory settings. Poortmans frequently collaborates with researchers across multiple institutions, indicating strong industry and academic connections within the photovoltaics community. His work appears in high-impact journals including Solar Energy Materials and Solar Cells, Scientific Reports, and Advanced Functional Materials, demonstrating recognition within the field. While specific grant information isn't detailed in the provided materials, his extensive publication record across diverse photovoltaic applications suggests successful funding acquisition for multiple research projects. His involvement in PhD theses supervision indicates active mentorship of next-generation researchers in the photovoltaics field. His research group appears to focus on bridging fundamental photovoltaic science with practical engineering applications, particularly addressing the reliability and integration challenges that prevent wider adoption of solar technologies in non-traditional applications like vehicles and agricultural settings.

• Photovoltaics
• Solar Energy Systems
• Silicon Solar Cells
• +۵ مورد دیگر

Bertrand Verlaine is a Professor at the University of Namur, affiliated with the School of Social Sciences, Politics and Communication and the department of Economics Management Communication Politics. His expertise spans Service Engineering, IT Project Management, and Requirements Engineering for service-oriented systems. He holds a Doctorate in Economics and Business Management, along with advanced qualifications in education and business administration from the University of Namur. Education: PhD in Economics and Business Management (2016) Engineer in Business Administration (specialization: information management) - UNamur (2009, 1st in class) Bachelor in Business Administration - UNamur (2007, cum laude) Research focuses on integrating Agile methodologies with ITIL frameworks, service-oriented design, and value co-creation principles. His work emphasizes aligning service systems with management frameworks and enhancing requirements engineering processes. Key themes include IT service management frameworks, agile-ITIL synergy, and conceptual modeling of service components. Prominent contributions include advancing Agile IT Service Management frameworks and adapting ITIL lifecycle models to incorporate SCRUM. His research outputs consistently address the theoretical and practical challenges of service-oriented systems and their alignment with organizational processes. He has supervised 19 academic works but no named students are listed. No specific grants or labs are mentioned, though his involvement in international conferences like IESS and workshops like WeRE 2010 highlights active engagement in the academic community.

• Service Engineering and Management
• IT Projects Management
• Requirements Engineering
• +۵ مورد دیگر

Moharram Challenger is a tenure-track Assistant Professor in the Department of Computer Science at the University of Antwerp's Faculty of Sciences. Previously, he served as an assistant professor at Ege University (2017-2018) and as a post-doctoral researcher at the University of Antwerp (2019-2020) working on Flanders Make projects PACo and DTDesign. His academic journey includes R&D leadership roles at UNIT IT Ltd. (2012-2016), post-doctoral research at Wageningen University (2016-2017), and tenure-track faculty positions at IAU-Shabestar University (2005-2009). His research spans Cyber-physical Systems , Multi-agent Systems , and Domain-specific Modeling Languages , with recent publications focusing on quantum machine learning, digital twinning, and IoT optimization. Key projects include ITEA ModelWriter, ITEA Assume, and Flanders Make initiatives. His work demonstrates strong integration of model-driven engineering with emerging technologies like quantum computing and reinforcement learning. Challenger actively contributes to the academic community as a member of IEEE and ACM . His publication record shows consistent output across top venues, with 2025 featuring significant work in quantum-enhanced learning and CPS security. Current research emphasizes practical applications in drone energy modeling, medical diagnostics, and industrial IoT systems. His advising activities focus on cyber-physical systems and agent-based modeling, supported by grants from TUBITAK and Flanders Innovation & Entrepreneurship. Key collaborations include European ITEA projects and partnerships with industrial entities through UNIT IT Ltd. Challenger maintains active development through GitHub repositories related to code refactoring, model-driven engineering, and legacy system modernization, reflecting his commitment to practical software engineering solutions.

• Cyber-physical Systems
• Multi-agent Systems
• Domain-specific Modeling Languages
• +۵ مورد دیگر

Louis Flynn is a Research Fellow at the Department of Applied Mechanics within the Faculty of Engineering at Vrije Universiteit Brussel (VUB), specializing in rehabilitation robotics and active prosthetic systems. His work bridges mechanical engineering with clinical rehabilitation through the Federated Labs AI and Robotics group, with current leadership roles in the BRGEOZ458 STEM Project and BRGEOZ461 Human-Centered Robotics initiative. His research focuses on prosthetics and biomechanical robotics , with pioneering contributions in knee prosthesis design , energy transfer optimization , and torque control systems . Key areas include stiffness modeling in lower limb interfaces, population-specific assistance algorithms, and the development of adaptive exoskeletons for transfemoral amputees. His fingerprint analysis reveals dominant expertise in Prostheses and Implants (100%), Prosthetics (68%), and Knee Prostheses (59%). Recent publications demonstrate a clear trajectory toward AI-integrated control systems and multi-modal physiological sensing , with emphasis on real-world clinical validation. The 2024-2025 output shows concentrated efforts in muscle oximetry interfaces, Cybathlon-ready active prostheses (notably the X-Leg system), and longitudinal studies of user adaptation to microprocessor-controlled joints. Research funding includes: BRGEOZ458 : STEM Project - Cybathlon & ExoGames (2024), developing educational frameworks through competitive robotics events BRGEOZ461 : Human-Centered Robotics for the Future (2025), advancing personalized assistive technologies for daily mobility As a core contributor to the VUB Cyberlegs consortium, Flynn actively develops the X-Leg active transfemoral prosthesis system and presents findings at premier venues like the International Conference on Rehabilitation Robotics. His work directly impacts both competitive athletic prosthetics and clinical rehabilitation protocols through close collaboration with clinicians and engineers.

• Prosthetics
• Rehabilitation Robotics
• Biomechanics
• +۳ مورد دیگر

Dimitri Van Landuyt serves as an Associate Professor in the Department of Computer Science at KU Leuven , affiliated with the Information Systems Engineering Research Group (LIRIS) . He leads and co-promotes multiple high-impact research projects focused on security and privacy engineering, including initiatives on model-driven security risk analysis , privacy by design , and IoT security . His work spans GDPR compliance, synthetic data management, and threat modeling innovations. Academic Leadership : Member of the Council of FEB and Campus Council Leuven/Kortrijk Research Pillars : Privacy threat modeling, security automation, IoT systems, GDPR technical implementation His publications demonstrate expertise in privacy-enhancing technologies, with recent work analyzing LLM applications in threat modeling, developing tree-based privacy analysis frameworks, and creating adaptive trust management architectures. He explores serious games for security training, synthetic data quantification standards, and runtime threat assessment mechanisms. Dimitri contributes to educational programs through courses in ICT Service Management , Security & Privacy by Design , and Research Methodologies . He supervises student research while collaborating with industry and academia on data protection challenges.

• Information Systems Engineering
• Privacy Threat Modeling
• IoT Security
• +۴ مورد دیگر

Anthony SIMONOFSKI is an Associate Professor at the Department of Management Sciences within the Faculty of Economic, Social and Management Sciences at the University of Namur. He is actively involved in the Namur Digital Institute (NADI) and leads the Management of INformation and DIgital Transformation (MIND IT) research group. His academic background includes dual doctorates in Business Economics from KU Leuven and Computer Science from UNamur. His educational background demonstrates exceptional interdisciplinary training: Doctor in Business Economics, KU Leuven Doctor in Sciences (Computer Science), UNamur Master in Business Engineering - Information Management, UNamur Master in Handelsingenieur in de Beleidsinformatica, KU Leuven Bachelor in Business Engineering - Information Management, UNamur SIMONOFSKI's research focuses at the intersection of digital technology and public administration, with particular expertise in digital transformation, smart cities, and citizen participation. His work bridges information systems theory with practical governance challenges, developing frameworks for more responsive public services. His recent publications reveal a strong trend toward AI applications in citizen engagement, with increasing focus on ethical implementation and practical frameworks for public sector use. His scientific contributions have been recognized with several prestigious awards: Best Paper Award at the 19th IEEE Conference on Business Informatics (2017) Publica Award for Methodological Guidance of La Louvière (2019) Nomination for the De Woot Award for Master's Thesis (2018) As Principal Investigator, SIMONOFSKI leads seven major research projects with significant funding, including PARIS2 (2025-2029) on proactive digital public services and Di-Fic (2025-2030) on digital citizenship education. He has supervised numerous graduate students and contributes to the academic community through committee service, including serving on the Faculty Council of Economic, Social and Management Sciences. His work with the ALMEN Alumni Association Committee (as Member 2016-2017 and President 2017-2020) demonstrates his commitment to academic community building. He directs the MIND IT research group which focuses on practical applications of digital transformation in public administration, with particular emphasis on citizen-centered design and implementation challenges in real-world governance contexts.

• Digital Transformation
• Smart City
• Digital Governance
• +۷ مورد دیگر

Dr. Patrick Heymans is an Associate Professor at the Faculty of Computer Science, University of Namur, Belgium. His research focuses on Software and Information Systems Engineering , with particular emphasis on Requirements Engineering, Software Product Lines, and Conceptual Modeling. Namur Digital Institute (NADI) research group Director of METADONE project - graphical environments for domain-specific modeling Research interests include: Formal Methods and Computer-Aided Software Engineering Software Evolution and Security Human-centric software configurators Recent publications examine: Variability-intensive systems analysis with RNNs (2024) Ontology-based product configuration (2022) User Experience of web configurators (2022) Scientific honors: Three Most Influential Paper Awards (2016-2024) Keynote speaker at major software engineering conferences Professional engagements: Member of multiple journal editorial boards Co-founder of VaMoS workshop on variability modeling Active in international conference program committees

• Software Engineering
• Requirements Engineering
• Software Product Lines
• +۵ مورد دیگر

Olivier Bonaventure is a Full Professor of Computer Science at Université catholique de Louvain (UCL), where he leads the IP Networking Lab within the Department of Computing Science and Engineering at the Louvain School of Engineering. With over three decades of experience in networking research, he has established himself as a leading figure in Internet protocol design and implementation. His research focuses on: Transport layer protocols including Multipath TCP and QUIC Protocol extensibility using eBPF technology BGP routing protocol innovations Network security and performance optimization Open educational resources for computer networking Professor Bonaventure's recent work centers on making Internet protocols more extensible through eBPF integration, enabling faster innovation cycles beyond traditional standardization processes. His research has practical applications in hybrid access networks, smartphone connectivity, and cloud infrastructure. His notable achievements include: IEEE INFOCOM'2007 best paper award USENIX NSDI Community award (2012) Open-textbook award from Saylor Foundation (2012) Conext'21 community award for TCPLS 2021 Applied Networking Research Prize for xBGP He has held significant leadership positions including Education Director for ACM SIGCOMM (2010-2016), Editor-in-chief of ACM SIGCOMM Computer Communication Review (2016-2020), and department head at UCL. His educational contributions include the widely adopted open-source textbook "Computer Networking: Principles, Protocols and Practice" and several influential courses at UCLouvain. He leads a research team that spans multiple projects including Multipath TCP deployment, QUIC extensions, and the pluginized protocols research agenda, with publications appearing regularly in top networking conferences and journals.

• Computer Networking
• Internet Protocols
• Transport Layer Protocols
• +۷ مورد دیگر

Shirley Elprama is a postdoctoral researcher at Vrije Universiteit Brussel (VUB) specializing in Communication Sciences and Studies in Media, Innovation and Technology. Her research focuses on the intersection of human-robot interaction, occupational exoskeletons, and technology acceptance in industrial and healthcare settings. With over 77 research outputs spanning from 2011 to 2025, she has established herself as a leading researcher in the field of social robotics and workplace technology integration. Elprama's research interests center on understanding how humans interact with robotic systems in real-world environments, particularly focusing on acceptance factors, implementation requirements, and the practical challenges of integrating technologies like exoskeletons and autonomous robots into workplaces. Her work combines qualitative research methods with practical field studies, as evidenced by her numerous publications on warehouse robotics, surgical navigation systems, and industrial exoskeleton adoption. Her research output shows a clear trajectory from foundational work on technology acceptance frameworks toward more applied studies in specific domains like healthcare and industrial settings. The publications demonstrate increasing focus on practical implementation challenges and user-centered design principles for robotic systems. Elprama actively participates in numerous research projects including EUAR122: ThermoBreast (2023-2026), SRP77: Exercise and the Brain in Health & Disease (2022-2027), and previously contributed to EUAR21: H2020: SOPHIA (2019-2024). She regularly presents at workshops and seminars, including recent engagements at Red Robotegem (April 2025) and various human-robot interaction workshops. Her work has been recognized through a h-index of 12 with 591 citations according to Scopus data. While specific scientific awards aren't mentioned in the available information, her research impact is evident through her substantial publication record and active involvement in multiple significant research projects. Elprama has supervised students including Baudaer, H. for a Master's thesis in 2014 on health perspectives in lifestyle magazines. She serves on PhD committees and has supervised doctoral research in occupational exoskeletons, as evidenced by her 2024 PhD thesis titled 'Acceptance of occupational exoskeletons at work.' Her research activities extend to various labs and teams including the Federated labs AI and Robotics, Applied Mechanics, and Physiotherapy groups at VUB, demonstrating her interdisciplinary approach that bridges engineering, human physiology, and communication sciences.

• Human-Robot Interaction
• Occupational Exoskeletons
• Technology Acceptance
• +۵ مورد دیگر

Joris Morbée is a Lecturer at KU Leuven , with a focus on energy economics and infrastructure policy. His research centers on electricity market dynamics, carbon capture and storage (CCS) infrastructure, and risk management frameworks. Core Research Areas: Energy taxation policies, CO2 transport networks, wind power integration, and strategic gas import reliability. His publications analyze the economic implications of nuclear taxation, the viability of EU-wide CCS pipelines, and the role of market completeness in electricity sector investments. Morbée's work highlights the trade-offs between short-term revenue and long-term investment incentives, as well as the strategic importance of EU energy diversification. Key methodologies include stylized electricity sector modeling, Shapley value-based cost allocation, and equilibrium analysis of risk-averse firms. His findings emphasize the need for cross-border coordination in energy infrastructure development.

• Energy Economics
• Carbon Capture and Storage (CCS)
• Electricity Market Risk Management
• +۳ مورد دیگر

Xavier Devroey is an Assistant Professor of Software Engineering at the Faculty of Computer Science , University of Namur , where he co-leads the SNAIL Team . His research focuses on test automation for search-based and model-based software testing , test suite augmentation , DevOps , and variability-intensive systems . PhD in Computer Science (University of Namur, 2017) Master in Computer Science (University of Namur, 2010) Recent research highlights include: Automated Android safety/security audits (A3S3, 2025) REST API benchmarking infrastructure (2025) Energy consumption analysis through test execution (2025) Fuzzing approaches for Odoo integration testing (FuzzE, 2025) Scientific recognitions: 1st place Java Test Case Generation Tool Competition (2025) VAMOS 2024 Ten-Year Most Influential Paper SSBSE 2020 Best Paper Award ICST 2024 Distinguished Reviewer AST 2023 PC Reviewer Star He actively supervises PhD and master's students while organizing international conferences like ISSTA (2025) and Belgium-Netherlands Software Evolution Workshops (2024).

• Software Engineering
• Test Automation
• Search-Based Testing
• +۵ مورد دیگر

Jef Smulders serves as a Research Fellow at KU Leuven's Elections and Democracy research group (Organisatiegroep), focusing on the financial and organizational dimensions of political parties within Belgium's complex federal system. His work examines campaign finance regulations, party funding mechanisms, and electoral system impacts across federal, regional, and European electoral contexts. Smulders' research centers on party financing and party organization , with particular expertise in Belgian electoral systems. His investigations span campaign expenditure patterns, public subsidy allocation mechanisms, and the financial consequences of electoral outcomes. Recent work analyzes the June 2024 Belgian elections through multiple lenses including expenditure limits, financial consequences of results, and party interest declarations. He employs longitudinal analysis of financial reports and quantitative examination of voting systems, particularly Belgium's flexible-list proportional representation. His publication trends reveal consistent focus on Belgian party finance evolution since 2000 Gender quota impacts on campaign resource allocation Parliamentary staff utilization as indirect party funding Cross-national comparisons of European party finance systems Notable outputs include the 2024 monograph The Colonists of Wetstraat analyzing Belgium's party financing within EU frameworks. Smulders collaborates extensively with Bart Maddens, Gertjan Vanden Eynde, and other KU Leuven researchers, producing regular briefing papers for VIVES (Flemish Institute for Technological Research). His work informs policy debates on campaign finance regulation, electoral transparency, and party funding reform in Belgium's multi-level governance system.

• Political Science
• Electoral Studies
• Campaign Finance
• +۳ مورد دیگر

Sam Verboven serves as Assistant Professor within the Department of Business Technology and Operations (BUTO) at the Vrije Universiteit Brussel (VUB), based at the Brussels Humanities, Sciences & Engineering Campus (PL5.4.30, Pleinlaan 2). His teaching portfolio includes core courses such as Fundamentals of Data Science, Information Systems Strategy and Management, IT Modeling, and Introduction to Informatics and SCM, reflecting his integration of technical and business perspectives. Verboven's research program centers on context-aware analytical methodologies that harmonize machine learning innovations with operational realities across finance, healthcare, HR, and marketing domains. His primary expertise lies in causal machine learning and multi-task learning frameworks, specifically designed to incorporate domain expertise and business requirements into algorithmic development. This approach enables the creation of decision-support systems that maintain technical rigor while addressing organizational constraints. Analysis of his recent publications (2023-2025) reveals consistent emphasis on causal inference methodologies, fairness-aware decision optimization, and legally aligned machine learning architectures. His work spans high-impact applications including mortgage loan pricing, organ transplantation logistics, financial compliance systems, and sustainable energy forecasting, demonstrating how machine learning can be adapted to meet regulatory and operational demands across diverse sectors. Scientific awards: No awards or fellowships documented in available materials. Advising and grants: Source information does not specify doctoral students, master's advisees, or externally funded research projects. Laboratory affiliations: No dedicated research labs or specialized teams mentioned in provided content.

• Causal Machine Learning
• Multi-task Learning
• Data Science
• +۴ مورد دیگر