Find Academic Supervisors

Alister BurrView profile

Professor

• Wireless Communication Systems
• MIMO Systems
• Modulation and Coding
• +4 more

Alister Burr is a Professor of Communications at the University of York, affiliated with the School of Physics, Engineering and Technology. He holds a BSc from the University of Southampton and a PhD from the University of Bristol. His research focuses on wireless communication systems, including MIMO, modulation/coding, and physical layer network coding. He has authored over 150 publications and a textbook on wireless communications. Awards include the J. Langham Thompson Premium (2002) and a Royal Society Fellowship (1999). He chairs the European COST 2100 programme and has held visiting roles at Vienna University of Technology. Current research spans 5G/6G, distributed MIMO, and iterative techniques. His work addresses challenges in channel modeling, precoding, and energy efficiency. Education: BSc Electronic Engineering, University of Southampton (1979) PhD, University of Bristol (1984) Affiliations: Chair, COST Action IC1004 (Green Smart Environments) Associate Editor, IEEE Communications Letters (2008-2011) Awards: Best Paper Award (European Wireless 2012) Grants/Projects: EU-funded COST 2100 programme Research on 5G NR, cell-free MIMO, and federated learning Labs/Teams: Leading teams in distributed wireless systems and network coding

Michele AlbanoView profile

Associate Professor

• Internet of Things (IoT)
• Energy Engineering
• Quality of Service (QoS)
• +5 more

Affiliations & Roles Michele Albano is an Associate Professor at the Department of Computer Science, Aalborg University, Denmark. He is affiliated with The Technical Faculty of IT and Design, focusing on research in IoT, Cyber-Physical Systems, and Edge Computing. He leads the Productive4.0 project (2017–2020), funded by Horizon Europe, addressing Industry 4.0 challenges in product lifecycle management. His work integrates formal verification tools like Uppaal with real-world applications in robotics, energy systems, and blockchain-based platforms. Research Interests Albano's research spans IoT architecture optimization , energy-efficient systems , and model-driven engineering . He develops tools for autonomous exploration algorithms (MAES), edge-cloud resource orchestration, and fault-tolerant computation offloading. His work bridges theoretical models (e.g., Uppaal SMC) with practical implementations in smart grids and robotic systems. Recent projects include blockchain-based crowdsourcing for machine learning and energy-aware thermal dynamics estimation in buildings. Collaborations & Impact He collaborates with the European Industry 6.0 community, contributing to the Arrowhead Framework for interoperable IoT systems. His research outputs include 112 publications, with 2025 highlights in human-inspired robotics and cognitive cloud frameworks. Media coverage in 2024–2025 highlights his work on green IT and secure API generation. Albano advises students on system modeling (e.g., ACSmt plugin development) and edge computing optimization. Labs & Teams His research group focuses on Cyber-Physical Systems and Smart Grids , with contributions to tools like RoutesMobilityModel and FlexHousing. He actively participates in workshops on New Trends in Software Architecture (SATrends '24) and IEEE conferences on Industrial Informatics.

Djamila OuelhadjView profile

Professor

• Operational Research
• Mathematical Optimisation
• Meta-heuristics and Hyper-heuristics
• +6 more

Professor Djamila Ouelhadj of the University of Portsmouth is a leading academic in Operational Research, affiliated with the School of Mathematics and Physics and Centre for Operational Research and Logistics . She serves as Course Leader for MSc Logistics and Supply Chain Management and contributes to EU-funded projects like SEABILLA and LEANWIND . Her work spans mathematical optimization, meta-heuristics, and decision support systems applied to logistics, transportation, healthcare, and renewable energy. Research Themes : Operational Research, Logistics Analytics, AI for Decision Making, Sustainable Transportation Her recent publications focus on Mobility-as-a-Service (MaaS) systems, drone scheduling for wind farm inspection, and multi-criteria frameworks for inclusive transport. Articles highlight integration of machine learning , stochastic modeling , and robotics in solving real-world optimization problems. She employs multi-objective methods , simheuristics , and clustering techniques to address challenges in renewable energy, urban mobility, and security. Scientific Contributions include: Co-investigator on EU grants for maritime security and wind farm optimization Principal investigator for HEIF-funded Operational Research Centre Chair of scheduling streams at OR53-OR55 conferences Her advising extends to 15 theses, covering topics from nurse rostering to carbon footprint reduction. Collaborative grants include TSB and EU Horizon 2020 projects. She actively contributes to European Journal of Operational Research and leads the Logistics and Operational Research Group (LORG) in developing intelligent decision support systems for complex scheduling problems.

Björn AnnighöferView profile

Professor

• Avionics Systems
• Self-Adaptive Systems
• Cybersecurity
• +5 more

Björn Annighöfer is a Professor at the Institute of Aviation Systems (ILS) at the University of Stuttgart, where he serves as Managing Director. His work focuses on complex, digital, and safety-critical avionics systems, including self-adaptive platforms, cybersecurity, and AI-supported aerospace systems. Research interests include: Self-adaptive avionics platforms Model-based cybersecurity frameworks Integrated Modular Avionics (IMA) development Virtualization and middleware for safety-critical systems AI applications in aerospace Automated development and certification processes Recent publications highlight advancements in PLUG-AND-FLY avionics, security assessment using large language models, and domain-specific modeling tools. He leads a team of ~25 scientists at ILS, which operates modern labs, flight simulators, and research aircraft for testing.

• Clone Detection
• Data Protection
• Natural Language Processing
• +3 more

Muslim Chochlov serves as a Researcher within the Department of Computer Science & Information Systems and is an active member of Lero – the Irish Research Centre for Software. His work bridges theoretical computer science with practical industrial software solutions through rigorous empirical studies. Research Focus: Specializes in code clone detection systems using BERT-based neural networks and ensemble inference methods, with significant contributions to data protection frameworks in digital health applications during the COVID-19 pandemic. Publication Trends: Demonstrates a clear evolution from foundational software architecture studies (2015-2020) toward AI-driven code analysis (2021-2025), with 73% of recent output focused on scalable industrial clone detection techniques and citizen-centered health informatics tools. Collaboration Network: Maintains extensive cross-institutional partnerships through Lero's national research infrastructure, evidenced by multi-author publications spanning computer science, public health, and data protection domains. His 2022 contact tracing app analysis achieved notable impact with 20 citations and 100+ reader captures. Technical Leadership: Develops practical methodologies for industrial codebase analysis including nearest-neighbor BERT implementations and ensemble inference systems that improve detection recall while addressing data protection requirements in sensitive health applications.

Lonni BesançonView profile

Assistant Professor

• volumetric data visualization
• statistical data interpretation
• research transparency
• +5 more

Lonni Besançon is an Assistant Professor of Visualization at Linköping University, Sweden, serving as a 2023 ASAPBio Fellow, Scientific Node Coordinator for the Swedish National Visualization Infrastructure InfraVis, and co-editor-in-chief of the Journal of Visualization and Interaction (JoVI). Education includes: PhD in HCI from Université Paris Saclay (2014-2017) Master of Research in HCI from Université Paris Sud (2013-2014) Exchange studies at University of Hong Kong (2013-2014) Master of Engineering from Polytech Paris Sud (2011-2014) Classe Préparatoire at Polytech Paris Sud (2009-2011) Research focuses on developing novel interaction techniques for volumetric data visualization and enhancing statistical interpretation through innovative visualizations. His work emphasizes methodological improvements in research practices, including detecting questionable research practices and enhancing transparency, robustness, and reusability of scientific outputs. Additional interests include augmented reality interfaces, collaborative visualization systems, and open science advocacy. Publications demonstrate consistent focus on augmented reality interfaces, collaborative visualization, research transparency, and statistical interpretation methods. Recent works showcase increasing emphasis on open science practices and methodological critiques, with notable contributions to understanding peer review systems and pandemic-related research evaluation. Awards and honors: ASAPBio Fellow (2023) GRD IG-RV Honorable Mention (2018) Advising and supervision includes mentorship of graduate students Xiyao Wang, Marie Cheng, and Mickael Francisco Sereno. Teaching experience encompasses courses in Interactive Information Visualization, Algorithms, Graph Theory, and Computer Security at Université Paris Saclay and Polytech Paris Sud. Leads research initiatives at Linköping Visualization Center and collaborates internationally through InfraVis. Serves on program committees for ACM IHM and IEEE EuroVis, while contributing to numerous conferences including CHI, IEEE VIS, and ISMAR.

Alex Elkjær VasegaardView profile

Researcher

• Operations Research
• Multi-Criteria Decision Analysis
• Artificial Intelligence
• +3 more

Alex Elkjær Vasegaard is a Postdoctoral Researcher in the Department of Materials and Production at Aalborg University's Faculty of Engineering and Science, specializing in human-AI decision systems for satellite and drone operations. His work focuses on making space technologies accessible for societal impact in smaller nations like Denmark. Education Ph.D. in Operations Research (2020-2023) MSc in Mathematics and Economics (Operations Research) (2017-2019) BSc in Mathematics and Economics (2014-2017) Research Focus Alex develops preference-based optimization frameworks to align autonomous systems with human decision-makers, particularly for disaster response and smart city operations . His core expertise spans multi-criteria decision analysis (MCDM), satellite scheduling algorithms, and UAV coordination, with strong contributions to UN Sustainable Development Goals through accessible Earth observation technologies. Publication Trends His 2024-2025 work shows intense focus on satellite image acquisition scheduling and drone detection systems , integrating MCDM with novel path algorithms. Key themes include human preference modeling in Earth observation, AI-driven oncology solutions, and open-source frameworks like EOSpython, bridging operations research with real-world societal applications. Awards ICRCA 2021 Best presentation award (2021) Rejselegat for matematikere travel grant (2019) Collaborations and Outreach He actively collaborates across engineering and computer science domains, evidenced by 6 similar research profiles in scheduling and UAV systems. His media feature 'BESLUTNINGER FRA HIMLEN' (2024) reached 6 Mendeley readers and 4 X users, highlighting public engagement with space technology decision-making. Research Group Alex operates within Aalborg University's Section of Applied Systems Research (Artificial Intelligence for Operations Research), developing practical tools for satellite mission planning and drone surveillance systems with societal impact.

• Statistical Learning
• High-Dimensional Data Analysis
• Network Statistics
• +7 more

Charles Bouveyron is a Full Professor of Statistics at Université Côte d'Azur , Nice, France, and holds a Chair in Artificial Intelligence. He serves as Director of the Institut 3IA Côte d’Azur and leads the Inria research team MAASAI on Statistical Learning and Artificial Intelligence. He is an associate editor for The Annals of Applied Statistics and founded the Statlearn workshops . Research Interests: Statistical learning in high dimensions Learning on networks and functional data Deep latent variable models Adaptive learning with uncertain labels Applications in Medicine, Image Analysis, Astrophysics, and Humanities Notable Contributions: Developed multiple R packages including HDclassif , FisherEM , and FunLBM . Created the Linkage.fr platform for network analysis with textual edges. PhD Students: Current: Seydina Niang (Deep Generative Models), Kilian Burgi (Marine Diversity Monitoring), Baptiste Pouthier (Multimodal Learning) Former: Giulia Marchello (Dynamic Networks), Rémi Boutin (Network Analysis), Dingge Liang (Recommender Systems), Nicolas Jouvin (Latent Variable Models), Alexandre Saint-Dizier (Image Aggregation), Warith Harchaoui (Optimal Transport), Pierre-Alexandre Mattei (Sparse Clustering), Rawya Zreik (Temporal Networks), Anastasios Bellas (Anomaly Detection), Camille Brunet (Sparse Clustering) Contact: Email: charles.bouveyron@univ-cotedazur.fr / charles.bouveyron@inria.fr Postal: Equipe Maasai, Inria Sophia Antipolis, 2004 route des Lucioles, 06902 France

Jie WuView profile

Assistant Professor

• AI for Software Engineering
• Software Engineering for AI
• Large Language Models
• +5 more

Jie Wu is an Assistant Professor in the Department of Computer Science at Michigan Technological University, a Carnegie R1 (Very High Research Activity) institution. Previously, he was a postdoctoral researcher at the University of British Columbia working with Dr. Fatemeh Fard at the intersection of Software Engineering and AI. Dr. Wu received his PhD in Systems Engineering from George Washington University. His undergraduate and master's studies were both in Computer Science at Shanghai Jiao Tong University's elite ACM Class program. Before academia, he worked for nearly a decade as a software engineer in the industry at Snap Inc., Microsoft, and ArcSite (a startup). Dr. Wu's research focuses on Trustworthy AIware, with particular interest in transforming "AI for Software Engineering" and "AI system development" from art into rigorous science and engineering disciplines. His work emphasizes human-centered AI, AI alignment, and practical software engineering, grounded in a systems-thinking mindset. His primary research areas include AI for Software Engineering (AI4SE), Software Engineering for AI (SE4AI), Large Language Models (LLMs), Data Science, and Systems Science and Engineering. His recent publications demonstrate a strong focus on evaluating and improving communication capabilities of code-generating LLMs, automated program repair using LLMs, and applying AI to software engineering challenges. His work often bridges theoretical foundations with practical applications in industry settings, with notable contributions including the HumanEvalComm benchmark for evaluating communication skills in code generation. Distinguished Paper Award Candidate at CAIN 2024 for V-Model research Reviewer for top-tier journals including IEEE TSE and ACM TOSEM Program Committee Member for RAIE 2025, CAIN 2025, and SANER 2025 Dr. Wu is actively recruiting PhD students to join his research group at Michigan Tech to work at the intersection of Software Engineering and AI. He is passionate about bridging academic research and industry practice to accelerate innovation and create meaningful societal impact, welcoming collaborations with industry partners interested in applying cutting-edge AI research to real-world challenges.

• Blockchain Technologies
• Cybersecurity
• Internet of Things (IoT)
• +5 more

Dr. Zakwan Jaroucheh is a Lecturer at the School of Computing Engineering and the Built Environment , Edinburgh Napier University (ENU). With a PhD in Context-Aware Pervasive Computing from ENU (2012), he combines academic expertise with over seven years of industry experience as a Principal Security Engineer at Dell SecureWorks. Research focuses: Blockchain Technologies , Cybersecurity , Internet of Things , and Decentralized Systems Supervises PhD students in areas like DeFi compositions, blockchain authentication, and secure microservices Secured £485,000 in grants from The Data Lab, Scottish Enterprise, and CyberASAP Developed LastingAsset - a blockchain-based solution for combating phone call fraud His publications in IEEE , Personal and Ubiquitous Computing , and Springer address key challenges in decentralized authentication , privacy-preserving mechanisms , and blockchain security . Current work explores blockchain's transformative potential in value exchange and information sharing.

• Network Programmability
• Network Virtualization
• Routing
• +7 more

Géraldine Texier is a Professor at the Network Systems, Cybersecurity and Digital Law (SRCD) department of IMT Atlantique, a member of the Adopnet research team at IRISA, and affiliated with the Advanced Connectivity lab of the b com Institute. Her research focuses on network programmability, virtualization, Quality of Service (QoS), inter-domain routing, and IoT. She contributes to academic activities through teaching networking courses and co-developing three MOOCs. Her research spans advanced topics in Software Defined Networking (SDN) Network Function Virtualization (NFV) QoS in inter-domain contexts IoT routing protocols Genetic algorithms for network optimization Fuzzy reputation systems for 5G infrastructure with a particular emphasis on scalable solutions and trust mechanisms. The 15 most recent publications highlight her work in network tomography, federated learning, and 5G slicing. Key trends include AI-driven network service placement reputation systems for RAN sharing genetic algorithms for monitoring optimization inter-domain path computation QoS in virtualized environments collaborative security frameworks In her advisory role, she has directed multiple PhD students including Masoud Taghavian (NFV in 5G Edge) Cedric Morin (SDN-NFV QoS algorithms) Rabah Guedrez (Segment Routing) Pascal Thubert (Deterministic Networks) and maintains active involvement in EU projects and industry collaborations.

Wim CasteelsView profile

Lecturer

• Data Science
• Machine Learning
• Artificial Intelligence
• +4 more

Wim Casteels is a Lecturer and researcher at AP University College, specializing in AI and data science. He transitioned from quantum physics research at the University of Antwerp and Paris to roles in data science at Argenta's Data Analytics Office and imec's IDLab research group. His work focuses on applying AI to education, transportation, and environmental monitoring. He leads projects like AI4UX (user pattern detection), LAP! (learning analytics dashboards), and AI4Care (AI for youth care support). Education: PhD in Physics (University of Antwerp), followed by postdoctoral research on quantum systems in Antwerp and Paris. Transitioned to data science roles in industry and academia. Research Interests: Machine Learning, Deep Learning, Learning Analytics, and AI applications in education and transportation. Projects include developing AI-driven road weather models using vehicle sensor data, predictive student success models, and energy-efficient building control systems. His work emphasizes ethical AI implementation and data-driven decision-making. Key Projects: AI4UX (2023–2025), AHUMAIN (2023–2025), LAP! (2019–2023), and AI4Care (2024–2026). His research is supported by grants like the Industrial Research Fund. Labs/Teams: Part of AP University College's Media, Design and IT Knowledge Center, previously affiliated with imec's IDLab group and Argenta's Data Analytics Office.

Katherine J. KuchenbeckerView profile

Professor

• Haptics
• Robotics
• Human-Computer Interaction
• +3 more

Katherine J. Kuchenbecker is the Director of the Haptic Intelligence Department at the Max Planck Institute for Intelligent Systems in Stuttgart, Germany, and an Honorary Professor at the University of Stuttgart. She previously held a tenured position as an Associate Professor at the University of Pennsylvania. Her research focuses on haptic interfaces and sensing systems, enabling users to interact with virtual and distant objects through touch. She earned her Ph.D. in Mechanical Engineering from Stanford University and completed postdoctoral research at Johns Hopkins University. Her academic journey includes leadership roles such as co-chair of the IEEE Technical Committee on Haptics and associate editorships for major conferences. She has received numerous awards, including the NSF CAREER Award (2009), IEEE Academic Early Career Award (2012), and elevation to IEEE Fellow (2021). Her work spans applications in medical robotics, teleoperation, and human-robot interaction. Kuchenbecker’s research emphasizes translating haptic technology into real-world applications, such as surgical training, tactile feedback in virtual environments, and assistive devices. Her team’s contributions include innovations in wearable haptic devices and tactile sensing for robots. She frequently delivers keynote addresses and chairs international conferences, furthering the field’s global impact. Her publications highlight advancements in haptic feedback systems, surgical robotics, and biomimetic sensors. She also advocates for diversity and leadership in academia, serving as Spokesperson for the International Max Planck Research School for Intelligent Systems since 2017.

• Visual Interfaces
• Interactive Data Exploration
• Human-Computer Interaction
• +3 more

Manuela Waldner is an Assistant Professor (tenure track) at TU Wien's Department of Computer Graphics and Visualization. She leads research in visual interfaces for exploring large-scale data, focusing on human-computer interaction and attention guidance in complex visualizations. Her work spans academic roles including Visualization Group membership and PhD Program Visual Heritage involvement. Research interests include: Interactive data exploration Guided visual attention mechanisms Emerging display environments (VR, multi-display systems) Publications emphasize practical applications of visualization techniques in domains like geographic data, medical imaging, and collaborative analytics. Notable projects include weBIGeo (geographic visualization) and Deskollage (visual information foraging). Awards include the Best Paper Award at EuroVA 2024 . Teaching roles include courses on Information Visualization , Computer Graphics , and Visual Computing . Active in academic service through program committees and editorial roles.

• Cybersecurity
• Privacy and Data Protection
• Cloud Computing Security
• +6 more

Stefanos Gritzalis is a Professor of Information and Communication Systems Security at the University of Piraeus, Greece (2019+), leading the Lab. of Systems Security. Previously, he served as Rector of the University of the Aegean (2014-2018) and held academic roles at the University of the Aegean, including Professor and Head of the Department of Information and Communication Systems Engineering. His expertise spans cybersecurity, privacy, and regulatory compliance, particularly in cloud computing and IoT. He is a member of the Hellenic Authority for Communication Security and Privacy and the National Commission for Human Rights (2024+). Education includes a BSc in Physics, MSc in Electronic Automation, and PhD in Information and Communications Security from the University of Athens. His research focuses on cybersecurity, privacy preservation, and GDPR compliance, with over 336 publications, including 14 books and 37 chapters. He has an h-index of 55 and is ranked in the top 2% of global ICT researchers (Elsevier, 2024). He serves as Area Editor for IEEE Communications Surveys and Tutorials , and has edited 35 journals. He has supervised 17 PhD theses and over 150 Master’s and 300 BSc theses. His work includes designing privacy-aware systems and frameworks for cloud forensics, with grants exceeding €6 million. He advises on EU-funded projects and evaluates proposals for global research bodies like the ERC and Swiss National Science Foundation. His contributions to policy include co-creating Greece’s Open Government Partnership National Action Plan and advising on digital transformation strategies. He promotes cybersecurity education through gamification and has published on privacy literacy initiatives.