Find Academic Supervisors

• Urban Geography
• Spatial Planning
• Metropolitan Governance
• +2 more

Rafał Gajewski serves as a Lecturer at the Department of Spatial Studies within the Institute of Socio-Economic Geography and Spatial Management at the University of Gdańsk's Faculty of Social Sciences. His academic work centers on metropolitan governance, spatial planning, and socio-economic transformation in Polish urban contexts, with particular focus on the Tri-City metropolitan area (Gdańsk-Gdynia-Sopot). His research interests span urban geography, metropolitan governance structures, climate change adaptation strategies, and the legal frameworks for metropolitan cooperation. He has conducted extensive case studies on institutional forms of inter-municipal collaboration, metropolitan area delimitation, and resilience planning in Polish cities undergoing post-socialist transformation. His work bridges theoretical approaches like strategic-relational geography with practical policy analysis. Analysis of his publication record (2016-2024) reveals consistent thematic focus on metropolitan governance mechanisms in Central Europe. Key contributions include examinations of metropolitan union formation, boundary delimitation policies, and adaptation strategies for climate resilience. His research demonstrates strong regional specialization in Polish metropolitan development while incorporating comparative perspectives, notably through analysis of Canadian metropolitan governance models. The work consistently addresses the tension between theoretical spatial concepts and practical administrative implementation in post-socialist contexts.

Alberto Sanfeliu CortésView profile

Professor

• Artificial Intelligence
• Robotics
• Computer Vision
• +12 more

Alberto Sanfeliu Cortés is a Full Professor of Computational Sciences and Artificial Intelligence at the Universitat Politècnica de Catalunya (UPC), where he has been a faculty member since 1981. He is affiliated with the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of UPC and CSIC, and serves as the Scientific Director of the Unit of Excellence Maria Maeztu at IRI. He leads the Mobile Robotics research line and coordinates the Artificial Vision and Intelligent Systems Group (VIS). He previously served as director of IRI and the UPC Department of Automatic Control. Research interests: His work spans Artificial Intelligence, Robotics, Computer Vision, Pattern Recognition, SLAM, Human-Robot Interaction, Autonomous Systems, and Networked Robotics . He focuses on both theoretical and applied aspects, including urban robotics, autonomous navigation, and the integration of large language models in robotic systems. His research is deeply interdisciplinary, bridging engineering, AI, and societal applications. The recent publications highlight a strong trend toward human-centered robotics , particularly in urban environments, last-mile delivery, and cybernetic avatars. There is growing emphasis on large language models for explainability and personalization, collaborative robotics , and context-aware navigation using vision transformers. His work increasingly addresses societal integration of robots in smart cities and sustainable systems. Scientific Awards: Technology Prize from Generalitat de Catalunya Fellow of the International Association for Pattern Recognition (IAPR) Advising and Grants: He has supervised multiple PhD students, with current advisees working on topics like human intention learning and LLM-enhanced interaction. He has led 45 R&D projects, including 16 EU-funded ones, and was coordinator of the URUS project. Current projects include TORNADO (foundation models for robots handling deformable objects) and SOCIAL PIA (cybernetic avatars). He has also collaborated with Volkswagen Research on autonomous driving initiatives. Labs and Teams: He leads the Artificial Vision and Intelligent Systems (VIS) group and the Mobile Robotics research line at IRI, a premier robotics institute in Spain. His team is actively involved in EU and national projects, focusing on real-world deployment of intelligent robotic systems.

• Developmental Psychology
• Cognitive Psychology
• Educational Psychology
• +4 more

Prof. Azzurra Ruggeri is a Professor in the Professorship for Cognitive and Developmental Psychology at Technical University of Munich (TUM). Her research focuses on understanding how children and adults strategically gather information, make decisions, and learn through embodied and active processes. She leads the iSearch Lab (https://isearchlab.org) and explores topics such as active learning, embodied cognition, and social-cognitive development. Her academic background includes a Dr. rer. nat. (PhD) in Psychology. She is based in Munich, coordinating research on developmental trajectories of learning, exploration strategies, and the interplay between motor skills and cognitive planning. Key areas of investigation include children's decision-making in uncertain environments, the impact of active learning on memory, and the role of embodiment in cognitive development. Recent work emphasizes adaptive information search behaviors, the effectiveness of question-asking strategies, and the application of embodied cognition principles to training interventions. Her studies often employ experimental paradigms involving climbing and spatial navigation to explore motor-cognitive interactions.

Matthias AlthoffView profile

Associate Professor

• Cyber-Physical Systems
• Formal Verification
• Autonomous Vehicles
• +5 more

Prof. Dr. Matthias Althoff is an Associate Professor of Cyber-Physical Systems at the Technical University of Munich (TUM), leading the Chair of Cyber-Physical Systems within the TUM School of Computation, Information and Technology. His research focuses on formal safety verification, model-based design, and reachability analysis for systems such as autonomous vehicles, robotics, and power grids. Education: He earned his diploma in Mechatronics and Information Technology (2005) and PhD (2010, summa cum laude) from TUM. He held postdoctoral positions at Carnegie Mellon University (2010–2012) and served as a junior professor at TU Ilmenau (2012–2013) before joining TUM as a full professor in 2013, becoming an associate professor in 2019. Research Interests: His work spans cyber-physical systems, formal methods for safety assurance, autonomous vehicles, modular robotics, and smart grid control. He develops tools like CommonRoad and CORA for scenario-based testing and reachability analysis. Awards: He has received the IEEE/ACM William J. McCalla ICCAD Best Paper Award (2012) and the Best Poster Award at the IEEE Intelligent Vehicles Symposium (2009). Labs/Projects: Leads the Cyber-Physical Systems group, collaborating on projects such as the Scenario Factory for automated vehicle testing and CommonPower for safe smart grid control. He also co-founded startups RobCo and aiina .

• Robotics
• Autonomous Systems
• Motion Planning
• +3 more

Elias Xidias is an Assistant Professor at the Department of Product & Systems Design Engineering, University of the Aegean. His academic focus is on Motion Planning of Autonomous Moving Units . He holds a Ph.D. in Robotics from the University of Patras and has worked as a Research Engineer in the Robotics Intelligent Transportation Systems (RITS) team at INRIA de Paris. His research interests span Robotic Logistics , Intelligent Transportation Systems , and Human-Robot Collaboration , aiming to enhance automation in manufacturing and transportation through advanced algorithms and autonomous systems. Education : Ph.D. in Robotics, University of Patras (2009) M.Sc./B.Sc. in Mathematics, University of Patras (2003) Research Interests : Xidias' work focuses on optimizing autonomous systems in dynamic environments, including path planning for car-like robots, energy-efficient task scheduling, and collaborative robotics. He explores applications in warehouse automation, maritime navigation, and multi-robot coordination. His methodologies often integrate fuzzy logic, genetic algorithms, and probabilistic models to tackle real-world challenges in logistics and manufacturing. Key Contributions : Developed algorithms for AGV routing and motion planning in flexible manufacturing systems. Advanced real-time autonomous navigation techniques for maritime and aerial vehicles. Pioneered the Aegean Ro-Boat Race , fostering innovation in marine robotics. Grants & Collaborations : Xidias has collaborated with institutions like INRIA Paris and contributed to projects such as the RITS team. His work bridges academia and industry, addressing challenges in smart logistics and autonomous systems. Labs & Teams : Associated with the Robotics & Intelligent Transportation Systems research groups, focusing on applied robotics solutions for industrial and urban environments.

Daniel AxehillView profile

Professor

• Autonomous Systems
• Optimization-Based Control
• Sensor Fusion
• +4 more

Professor Daniel Axehill is affiliated with the Department of Electrical Engineering (ISY) at Linköping University, specializing in planning and optimization-based control for autonomous systems. His research bridges theoretical developments and industrial applications. His recent work focuses on robust motion planning for autonomous vehicles, optimal task and motion planning algorithms, execution-time analysis for model predictive control, and high-performance solvers for multi-parametric quadratic programming. Key methods include lattice-based planning, disturbance estimation, and real-time optimization. He contributes to the Wallenberg Autonomous Systems Program (WASP), collaborating on advancements in robotics, sensor fusion, and complex network control systems.

George HoughtonView profile

Senior Lecturer

• Cognitive Psychology
• Neuroscience
• Task Switching
• +6 more

Dr. George Houghton is a Senior Lecturer at the School of Psychology and Sports Science at Bangor University , UK. His research spans cognitive psychology and neuroscience, focusing on task switching, attention mechanisms, and literacy modeling. Key Research Themes : Task switching, semantic processing, ERP analysis, motor sequence planning, working memory modulation. Email : g.houghton@bangor.ac.uk His publications (22 total) include studies on backward inhibition , covert/overt attention realignment , and common coding theory in literacy . Articles demonstrate interdisciplinary applications of computational modeling and electrophysiological methods (ERPs) to understand cognitive control systems and language processing mechanisms. Recent work (2021) explores how movement competition during planning predicts sequence execution accuracy, while earlier contributions (2018-2003) established frameworks for semantic negative priming and graphemic output models.

Martim BrandãoView profile

Assistant Professor

• Robotics
• Artificial Intelligence
• Responsible AI
• +12 more

Martim Brandão is a Lecturer (Assistant Professor) in Robotics and Autonomous Systems at King’s College London, where he leads the Responsible Robotics and AI (RRAI) Lab and serves as Co-Director of the UKRI Centre for Doctoral Training in Safe and Trusted AI. His research focuses on ethical, explainable, and safe AI and robotics, with applications in human-robot interaction, motion planning, fairness, and societal impact. His research interests include: Explainable AI and Motion Planning Fairness and Bias in AI Systems Human-Robot Interaction and Social Robotics Adversarial Robustness in Robotics Value Alignment and Ethical AI Inclusive and Participatory Robotics Design His recent publications (2023–2025) reflect a strong trend toward socially responsible robotics, focusing on fairness in navigation, explainability of planning failures, worker-centered agricultural robotics, environmental justice in drone delivery, and the dangers of bias in drowsiness detection and LLM-driven robots. His work emphasizes user understanding, societal impact, and ethical safeguards in autonomous systems. He has advised and collaborated with numerous students and researchers across diverse topics in robotics and AI. He is actively involved in shaping responsible robotics through: Leadership in the RRAI Lab Co-directing a national CDT in Safe and Trusted AI Developing fairness-aware algorithms Advocating for inclusive and ethical design practices His lab and research group focus on: Responsible Robotics and AI Explainability in Multi-Agent Planning Fairness in Coverage and Navigation Human-Centered Evaluation of AI Systems

Paul CharlesrajView profile

Senior Lecturer

• Project Management
• Construction Engineering
• Knowledge Management
• +5 more

Paul Charlesraj is a Senior Lecturer in Construction Project Management at the University of Huddersfield, UK, affiliated with the Department of Design and Architecture within the School of Arts and Humanities. He is a Chartered Surveyor (MRICS), Project Management Professional (PMP®), and Certified Knowledge Manager (CKM). His roles include leading undergraduate and postgraduate courses in Construction and Project Management, and他曾担任MBA-CPM项目主任。他积极参与专业发展计划的开发，并在RICS和相关机构担任监督和评估角色。 教育背景未明确提及，但根据其职业轨迹推断，他拥有建筑或工程管理领域的高级学位。他的研究兴趣集中在技术驱动的施工管理，包括知识管理、数字施工、绩效管理以及灾害管理等领域。他致力于通过基于知识的教育和培训提升项目交付效率和价值创造。 研究方向包括项目管理、施工技术、知识管理、数字转型和领导力变革管理。其近期研究趋势聚焦于数字工具（如无人机、BIM）在施工中的应用，员工心理健康，以及新兴技术的采用障碍。他与VTT Technical Research Centre等机构建立了国际合作，并参与PMI标准委员会。 奖项方面，目前未提及具体科学荣誉。他积极参与学术活动，包括在国际会议上发表演讲（如2025年ICE邀请演讲）并担任同行评审。他的专业活动包括担任英国多家行业组织的会员，如项目管理协会（APM）和机构工程师学会（ICE）。 指导方面，虽然未列学生姓名，但提到他监督了RICS专业能力评估（APC）。实验室和团队包括参与Centre for Urban Design, Architecture and Sustainability及Innovative Design Lab Research Centre。

Keith BenderView profile

Professor

• Labour Economics
• Applied Microeconomics
• Health Economics
• +13 more

Professor Keith Bender is the SIRE Chair in Economics at the University of Aberdeen's Business School, Department of Economics. He is actively engaged in research, teaching, and academic leadership, including serving as Director of Research for the Business School. He is affiliated with the Centre for Labour Market Research (CeLMR), the Scottish Experimental Economics Laboratory (SEEL), and the Just Transition Lab (JTL). PhD in Economics, Duke University, 1994 MA in Economics, Duke University, 1992 BA in Economics, Furman University, 1990 Keith Bender specializes in applied microeconomics with a focus on labour economics. His research explores the intersections of health and labour, particularly how performance-related pay affects worker stress and wellbeing. He investigates educational and skills mismatch, labour market discrimination, and the socioeconomic impacts of energy transition, especially in the context of just transition in Scotland. His work often employs experimental methods and interdisciplinary collaboration. His recent publications reveal a strong trend in interdisciplinary research, combining economics with psychology and public policy. Key themes include performance-related pay and health, just transition, skills mismatch, and worker wellbeing. These works are published in high-impact journals such as Oxford Economic Papers , Industrial Relations , and Stress , and include commissioned reports for public bodies like the Just Transition Commission and the Nuclear Decommissioning Authority. Research Fellow of the IZA Associate Editor of the British Journal of Industrial Relations Professor Bender supervises PhD students in applied labour economics and has secured significant research funding, including from the ESRC and the Uplift Foundation, for projects on performance-related pay and just transition. He collaborates with interdisciplinary teams across psychology and health sciences. He is involved in knowledge exchange through podcasts, media engagement, and educational resources for schools. He leads and contributes to research in the Centre for Labour Market Research, the Scottish Experimental Economics Laboratory, and the Just Transition Lab, where he explores experimental economics, labour market dynamics, and regional economic transitions.

• Combinatorial Optimization
• Natural Language Processing
• Wireless Communication
• +4 more

Dr. Meghana Navnath Satpute is an Assistant Professor of Instruction in the Department of Computer Science at the University of Texas at Dallas, affiliated with the Erik Jonsson School of Engineering and Computer Science. She holds a PhD in Computer Science and has been actively contributing to research in algorithmic applications for natural language processing and wireless communication systems since 2019. Her research focuses on combinatorial optimization , particularly in solving complex problems in natural language processing and wireless network efficiency . Key areas include multidocument summarization, edge computing task allocation, and UAV trajectory planning for sensor data collection. These efforts reflect a strong interdisciplinary approach combining theoretical algorithms with real-world system design. The recent publications demonstrate a consistent trend in applying attention-based models and fine-grained optimization techniques across diverse domains such as NLP and IoT-enabled aerial networks. Her work bridges algorithm development with practical deployment challenges in distributed and mobile computing environments. Scientific Awards: No awards listed in the provided text. Dr. Satpute is involved in academic instruction and research supervision, though specific details about graduate student advising or funded grants are not mentioned in the available information. Her role emphasizes both teaching and research within the computer science curriculum at UTD. She is associated with ongoing research in intelligent systems and optimization algorithms, likely contributing to collaborative projects within the Erik Jonsson School of Engineering and Computer Science, particularly in areas related to data science, networking, and autonomous systems.

Mattias TigerView profile

Assistant Professor

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +3 more

Mattias Tiger is an Assistant Professor at the Department of Computer Science (IDA) at Linköping University , where he serves as an AI researcher and deputy lab leader for the Reasoning and Learning Lab (ReaL) . His work is supported by the WASP program and focuses on applied AI research in autonomous systems. Roles : Assistant Professor, AI Researcher, Deputy Lab Leader Affiliations : IDA, AIICS, WASP, AI Academy Research Focus : Artificial Intelligence, Robotics, and Autonomous Systems with specialization in motion planning, dynamic obstacle avoidance, and safety-aware AI. His work bridges theoretical foundations with real-world applications, particularly in urban environments and agile flight systems. Key technical areas: Lattice-based motion planning, deep reinforcement learning, 3D exploration algorithms Application domains: Autonomous road sweeping, drone navigation, retail automation Awards : EurAI award for postdoctoral thesis SAIS award for best degree project supervision Collaborations : Works with Professor Fredrik Heintz and colleagues in projects involving robotic platforms like Spot and Elsa. His research has been highlighted during the Royal Couple's visit to Linköping and through grants from the Norrköping Fund for Research and Development.

Maria Victoria Aguilar SebastianView profile

Professor

• Teaching Arabic as a Foreign Language
• Arabic Diglossia
• Discourse Analysis
• +2 more

Maria Victoria Aguilar Sebastian is a Professor of Arabic Language at the Department of Arabic and Islamic Studies, Universidad de Murcia since 1992. She coordinates the EALE research group focused on Teaching-Learning of Foreign Languages (Arabic and Spanish) and has led multiple projects on Arabic language education in multicultural contexts. Doctorate from Universidad Complutense de Madrid (1991) Specializes in Arabic as a Foreign Language (TAFL), Diglossia, and Moroccan Dialect Developed comprehensive Arabic teaching methodologies including Nishan, Alatul, and Letters and Meanings series Her research explores the integration of Arabic varieties in Spain's educational system, challenging traditional dissociation between Modern Standard Arabic and Darija. She has contributed to the European Reference Framework adaptation for Arabic instruction. Key publication trends show focus on: Communicative approaches for Arabic learning Technology-enhanced language instruction Dialectal and standard Arabic co-teaching Arabic language policy in Europe Historical sociolinguistics in al-Andalus

Frank MarkertView profile

Associate Professor

• Fire Safety Engineering
• Hydrogen Safety
• Computational Fluid Dynamics
• +7 more

Frank Markert is an Associate Professor at the Technical University of Denmark (DTU) , Department of Civil and Mechanical Engineering, specializing in Structures and Safety. His research focuses on fire safety engineering, hydrogen safety, computational fluid dynamics (CFD), and risk assessment, with applications in tunnel safety, hydrogen refuelling stations, and emergency response systems. Education: While specific degrees are not listed, his role as Associate Professor and extensive research output suggest advanced qualifications in fire safety engineering or related fields. Research Interests: Fire safety and fire dynamics in structures Hydrogen safety, especially in confined spaces like tunnels Risk assessment and quantitative risk analysis (QRA) Computational modeling of fires and explosions Emergency response and crisis management systems Research Trends: His recent publications (2023–2025) emphasize hydrogen safety in transport systems, tunnel fire mitigation, and innovative fire suppression techniques. He actively explores the risks associated with hydrogen-powered vehicles and infrastructure, including boil-off gas management and explosion mitigation strategies. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Main supervisor for PhD student Liu, W. in the project "Advanced fire engineering tool for integrated analysis of structural design parameters" (2020–2024). Principal Investigator (PI) for projects like FIRE21 (Nordic Fire and Rescue Services) and HyTunnel-CS (hydrogen safety in tunnels). Participant in EU projects such as K-FORCE (Knowledge FOr REsilient society) under Erasmus+. Labs and Teams: He is affiliated with the DTU Construct research group, focusing on civil and mechanical engineering structures and safety.

Tamer ErenView profile

Professor

• Operations Research
• Decision Support Systems
• Fuzzy Logic Applications
• +5 more

Prof. Dr. Tamer Eren is a full-time professor in the Department of Industrial Engineering at the Faculty of Engineering and Natural Sciences, Turkish Aeronautical Association University. His academic work focuses on operations research, fuzzy logic applications, and disaster management optimization. Research Areas: Operations Research, Multi-Criteria Decision Making, Fuzzy Logic, Integer Programming, Disaster Logistics, Sustainable Development Institutional Affiliation: Turkish Aeronautical Association University, Department of Industrial Engineering His recent research explores bibliometric analyses of graduate theses across diverse fields including green logistics, project scheduling, forest fire resource allocation, and wearable technology in industrial safety . Key methodologies include fuzzy decision-making frameworks, integer programming, and systematic literature reviews. Notably, he has developed optimization models for disaster response logistics, healthcare personnel scheduling, and mining sector safety technologies. Publications reveal interdisciplinary contributions spanning emergency surgical care , healthcare operations , and smart city planning using advanced computational techniques like spherical fuzzy AHP and Pythagorean fuzzy TOPSIS. His work emphasizes practical applications in Turkey, addressing regional challenges in urban infrastructure, water resource management, and industrial safety.