جست‌وجوی استاد و پژوهشگر

Christian Schroerمشاهده پروفایل

استاد

• X-ray Microscopy
• X-ray Optics
• Synchrotron Radiation
• +۵ مورد دیگر

Christian Schroer is a Professor at the University of Hamburg and Leading Scientist at DESY, Germany's national laboratory for particle physics and photon science. He serves as Co-Spokesperson of the Cluster of Excellence 'Understanding Written Artefacts' (UWA) and Head of the High Performance Lab. His research focuses on X-ray microscopy, X-ray optics, and synchrotron radiation applications across physics, chemistry, and cultural heritage preservation. He holds a doctoral degree in mathematical physics and has held academic positions at TU Dresden and RWTH Aachen University. Education & Career: PhD in Physics (1995), University of Cologne Postdoctoral Fellowships: University of Maryland (USA), Research Center Jülich Professor at TU Dresden (2006–2014), University of Hamburg (since 2014) Research Interests: X-ray imaging techniques, synchrotron and free-electron laser applications, nanotechnology, and cultural heritage projects like tomographic analysis of enclosed cuneiform tablets. His work bridges physics, materials science, and interdisciplinary collaborations. Key Projects: Leadership of PETRA III scientific programme and conceptual design of PETRA IV Development of X-ray ptychography and multi-beam imaging Cultural heritage projects involving high-resolution tomography Labs & Teams: Directs the High Performance Lab at DESY and co-founded Helmholtz Imaging, a platform for advanced imaging strategies in data science.

Daniel Göhringمشاهده پروفایل

استاد

• Autonomous Vehicles
• Mobile Robotics
• Computer Vision
• +۶ مورد دیگر

Prof. Daniel Göhring is a professor in the Department of Computer Science at the Free University of Berlin, leading the Autonomous Cars Lab and part of the Dahlem Center for Machine Learning and Robotics. His research emphasizes robotic perception, object tracking, and real-time planning under computational constraints, with a focus on autonomous vehicles and cooperative systems. Education: Bachelor's/Master's in Robotics (exact program unspecified) PhD in Computer Science at Humboldt University Berlin Postdoctoral Research at International Computer Science Institute (ICSI), Berkeley, CA Research Interests: Daniel's work integrates machine learning and sensor technologies like LiDAR and cameras to address challenges in autonomous driving. Key areas include SLAM algorithms, trajectory prediction, cooperative perception, and real-time systems. He explores how limited sensor data and computational resources can be optimized for dynamic traffic environments. Grants and Projects: Leader of the Autonomous Cars Lab Involved in EU-funded projects such as H2020 HIVEOPOLIS and KIS-M (AI-based mobility systems) Past projects include CRTX (recycling optimization), Open.Make (open hardware), RoboFish (biological swarm analysis), and SAFARI Awards: Best Poster Award at IAAS Workshop 2024 Best Paper Award at ICAIR-CACRE 2019 Teaching: He has taught courses such as Image Processing, Robotics, and Advanced Robotics. Recent semesters include modules on self-supervised learning, autonomous vehicle research, and continuous learning software projects. Labs and Teams: Daniel heads the Autonomous Cars Lab and collaborates with the BioRobotics Lab, focusing on interdisciplinary projects like 'Robots Communicating with Fish' and 'Open Hardware for FAIR Robotics.'

• Signal Processing
• Communications Engineering
• Radar Systems
• +۵ مورد دیگر

Assoc. Professor Qinghua Guo holds a position at the University of Wollongong's School of Electrical, Computer and Telecommunications Engineering. He earned his PhD from City University of Hong Kong (2008) and has been affiliated with the University of Wollongong since 2019. His research focuses on signal processing, communications, radar systems, machine learning, and optical sensing, with notable contributions to graphical models and Bayesian inference. Prof. Guo is recognized as a top 2% influential scientist globally (Stanford University) and a leader in Electronics and Computer Science (Research.com). He serves as an Associate Editor for IEEE Transactions on Signal Processing and IEEE Wireless Communications Letters, among other roles. His teaching spans undergraduate to postgraduate levels, including specialized subjects in engineering and information sciences. His recent research emphasizes integrated sensing and communication systems, federated learning, and secure beamforming in 5G/6G networks. He has supervised over 30 PhD and Master’s students in areas like MIMO systems, signal processing for IoT, and quantum sensing. Key funded projects include AFDM-SCMA (2025–2028) for IoT connectivity and Grant-Free Multiple Access for LEO satellite networks (2023–2027). His work bridges theoretical advancements with practical applications in robotics, energy systems, and defense technologies.

Luc Jaulinمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Underwater Robotics
• +۴ مورد دیگر

Luc Jaulin is a Professor at the University Bretagne Occidentale and affiliated with Lab-STICC (UMR 6285) and ENSTA Bretagne. His research focuses on robotics, control systems, underwater navigation, and interval analysis. He leads projects in autonomous systems, such as robotic exploration (Robex) and underwater vehicle control. He has extensive teaching experience in robotics, including courses on mobile robotics, Kalman filtering, and nonlinear control. His work integrates theoretical methods with practical applications, emphasizing reliable state estimation and set-based approaches. Education and Affiliations: Professor at University of Western Brittany (ENSTA Bretagne) Laboratory: Lab-STICC, UMR 6285 Participates in the Master SDS program at Angers, focusing on robotics and automation research. Research Interests: Autonomous robotics and underwater vehicle navigation Interval analysis and set-membership methods Control systems and real-time algorithms Robot localization and SLAM Algorithm development for marine robotics Advising and Grants: Supervised over 100 students in robotics-related stages and theses. Contributed to projects like ANR ElectroKarst (underwater exploration) and Robotic Spacecraft design. Collaborates with industries (e.g., Thales, FORSSEA Robotics) and academic institutions globally. Labs and Teams: Core member of Lab-STICC and the Robex (Robotics Exploration) team, focusing on innovative robotics solutions.

Hans van der Kwastمشاهده پروفایل

مدرس

• GIS and Remote Sensing Applications
• Environmental Modeling
• Water Resource Management
• +۵ مورد دیگر

Hans van der Kwast is an academic affiliated with IHE Delft Institute for Water Education since 2012. He previously worked as a researcher at the Flemish Institute for Technological Research (VITO) between 2007 and 2012, focusing on spatial dynamic environmental modeling. His teaching emphasizes Free and Open Source Software (FOSS) and open data for professionals in the Global South, fostering innovative entrepreneurship. At IHE Delft, he coordinates eLearning support for partners and leads research on spatial data infrastructure (SDI), Citizen Observatories, and remote sensing for water productivity. He is a QGIS Certified Lecturer, developing OpenCourseWare, online courses, and training programs in GIS, remote sensing, and hydrological modeling. He initiated the GIS OpenCourseWare platform and authored the book QGIS for Hydrological Applications . He contributes actively to the QGIS and FOSS4G communities, serves on the Dutch QGIS User Group board, and developed the PCRaster Tools plugin for QGIS. His YouTube channel, with over 17k subscribers, provides tutorial videos on GIS and remote sensing. His research spans water resource management, climate change impacts, and environmental modeling, with a focus on tropical regions. He has collaborated on projects addressing nitrogen dynamics in rivers, floodplain inundation mapping, and uncertainty analysis in remote sensing-derived evapotranspiration estimates. Van der Kwast’s work integrates technology and education to enhance capacity building in water management, particularly leveraging open data and collaborative platforms. His contributions bridge academic research with practical training, emphasizing sustainability and innovation in developing contexts.

İsmail Bayezitمشاهده پروفایل

استادیار

• Unmanned Aerial Vehicles
• Flight Control Systems
• Autopilot Design
• +۳ مورد دیگر

Dr. İsmail Bayezit serves as an Assistant Professor in the Department of Aeronautical Engineering at Istanbul Technical University (ITU), Turkey, with active research since 2007. His work bridges aerospace and marine engineering domains, focusing on unmanned systems and control technologies. With an h-index of 8 and 321 Scopus citations across 33 research outputs, he has secured 6 major research projects including VTOL system development and marine craft autonomy initiatives. His research fingerprint reveals dominant expertise in Quadcopter Engineering (100%), Motion Control (81%), and Unmanned Aerial Vehicle systems (80%). He specializes in advanced control methodologies including extremum-seeking control, LQR techniques, and distributed control strategies. Current work extends into AI-integrated navigation systems and energy-optimized flight performance, with significant crossover applications in marine craft control and underwater acoustics. Recent publications (2024-2025) demonstrate three converging trends: optimization of electric multirotor performance through energy-aware control, neural network-assisted navigation for GPS-denied environments, and cross-domain applications of control theory to both aerial and marine systems. His work increasingly integrates artificial intelligence with traditional control frameworks while maintaining strong experimental validation through physical prototypes. Bayezit has supervised 21 students and led 6 research projects from 2017-2025, including EU-funded initiatives on VTOL systems and national projects on UAV education sets. His project portfolio shows consistent progression from fundamental control theory (2017-2019) toward applied AI integration (2023-2025), with recent work focusing on autonomous marine craft instrumentation and next-generation UAV performance optimization.

• 5G/6G Networks
• Wireless Communications
• Signal Processing
• +۳ مورد دیگر

Associate Professor Duy Ngo leads research in 5G/6G wireless networks at the University of Newcastle's School of Engineering. His work focuses on wireless resource allocation, interference management, and network optimization, with applications in vehicular networks and IoT systems. Awarded the Vice-Chancellor's Research Award (2015) and Teaching Excellence Award (2017), he develops algorithms for full-duplex systems and energy-efficient communications. Current projects include cell-free massive MIMO, LEO satellite communications, and federated learning implementations. His innovations in road safety communications include low-delay multi-hop transmission protocols for vehicular networks.

• International Security
• European Union Politics
• Global Governance
• +۱۰ مورد دیگر

Professor Michael E. Smith is a Chair in International Relations at the School of Social Science, University of Aberdeen. Previously, he served as a Reader at the University of St Andrews and Associate Professor at Georgia State University. He holds a PhD in Political Science from the University of California (Irvine) and an MA in International Affairs from The George Washington University. Chair in International Relations, University of Aberdeen (2010–present) Reader in International Relations, University of St Andrews (prior to 2010) Associate Professor of Political Science, Georgia State University (2004–05) Research Interests Smith's theoretical work focuses on international cooperation , conflict resolution , and global governance in challenging issue areas like security and technology . He combines international-level theories of institution-building with domestic-level state/societal politics to analyze collective action problems (free-riding, regulatory gaps, environmental harm mitigation) across advanced democracies, particularly the EU and US . His research on EU security policy and revolutionary technologies has led to major publications and grants. Notable Scientific Contributions Recipient of the European Research Council Grant (2008-13) for EU crisis management studies, Robert Schuman Fellowship (2018), and multiple awards for his articles on EU foreign policy. His book Europe's Foreign and Security Policy (Cambridge) is a standard reference in the field. Advising & Grants External PhD examiner for leading universities (Loughborough, Lancaster, European University Institute). Principal investigator for EU Horizon2020 EU-CIVCAP consortium (€1.7M) and ERC grant (€1M). Co-investigator on ESRC and EU Research Executive Agency projects.

• Combinatorics
• Combinatorial Design
• Latin Squares
• +۵ مورد دیگر

Ian Wanless is a Research Professor at the School of Mathematics, Monash University. He specializes in combinatorics, with a focus on Latin squares, graph theory, and matrix permanents. His work bridges theoretical mathematics and applications in information technology, such as coding and experimental design. Wanless leads collaborative projects funded by the Australian Research Council, including studies on combinatorial structures and hypergraph matchings. He has authored over 120 peer-reviewed articles, with recent work addressing quantum states, Latin square properties, and quasigroup isomorphisms. Key Awards: Australian Mathematical Society 2009 Medal Collaborations: Global partnerships with institutions in the US, Europe, and Asia His research emphasizes universal solutions to combinatorial puzzles, such as Sudoku and the four-color theorem, while prioritizing theoretical rigor over direct applications.

Zsofia Krausslمشاهده پروفایل

مدرس ارشد

• Digital Transformation in Finance
• Innovation in Finance
• Data as an Emerging Asset Class
• +۳ مورد دیگر

Dr. Zsofia Kraussl is a Senior Lecturer in Finance and Technology at Bayes Business School (formerly Cass) at City, University of London. She holds a PhD in Information Systems Management from the Free University Amsterdam (2011). Her research focuses on digital transformation in finance, valuation fundamentals, and socio-economic impacts of data as an asset class, with empirical work on marketplace lending and digitization effects. She also investigates higher education curriculum design and performance metrics, having developed an MSc program in Digital Transformation in Finance at the University of Luxembourg. Additionally, she is a visiting scholar at UC Berkeley’s Center for Studies in Higher Education (CSHE). Education: PhD in Information Systems Management, Free University Amsterdam (2011) Her research interests span innovation in finance, digital infrastructure for sustainability, and blockchain applications like tokenization of sukuk. She actively contributes to interdisciplinary studies at the intersection of finance, technology, and education. Recent work includes AI-driven market regime forecasting and differential privacy in smart contracts. Advising and grants focus on curriculum development and digital finance initiatives. Her work often involves collaborations across academic disciplines and industry partners to address emerging trends in financial technology and educational policy. Labs/teams: Collaborates with the CSHE at UC Berkeley and leads interdisciplinary projects at Bayes Business School focusing on digital finance innovation and higher education frameworks.

• Reproductive Medicine
• Assisted Reproductive Technologies
• Embryology
• +۴ مورد دیگر

Dionisios Sakkas is a Researcher at Yale University's Yale School of Medicine, specifically within the Department of Obstetrics, Gynecology & Reproductive Sciences. He holds a PhD from Monash University (1990). His research focuses on reproductive medicine, embryology, and assisted reproductive technologies, with particular emphasis on improving IVF outcomes through genetic screening and non-invasive diagnostic methods. Key areas include preimplantation genetic testing (PGT-A), aneuploidy detection, and optimizing embryo selection protocols. His work also explores the role of sperm factors in embryonic development and innovative applications of artificial intelligence in reproductive diagnostics. Recent studies investigate the clinical efficacy of PGT-A on live birth rates, comparisons between cell-free DNA and trophectoderm biopsy techniques, and validation of home-based semen analysis protocols. He has contributed to ethical discussions around embryo sex selection and published comparative analyses of carrier screening panels in reproductive medicine. His research integrates interdisciplinary approaches from biotechnology and clinical practice to advance fertility treatment strategies. While no specific grants or awards are listed in the provided text, his extensive publication record (over 48 publications) demonstrates sustained contributions to reproductive science. Collaborative projects involve multi-center studies and international teams addressing challenges in IVF efficacy and genetic counseling practices.

Grega Strbanمشاهده پروفایل

استاد

• Labour Law
• Social Security Law
• European Union Law
• +۴ مورد دیگر

Prof Dr Grega Strban is Full Professor of Labour and Social Security Law and Head of the Labour and Social Law Department at the Faculty of Law, University of Ljubljana, where he previously served as Dean (2018-2022) and Vice-Dean for Economic Affairs (2010-2018). He maintains a dual academic affiliation as Senior Research Associate at the Department of Public Law, University of Johannesburg. His institutional leadership extends to heading the Faculty of Law's research program group since 2014 and coordinating the EU MoveS project on workers' mobility and social security coordination. Strban's research focuses on Labour Law, Social Security Law, and European Union Law with particular expertise in cross-border social security coordination, healthcare rights, and the impact of digitalization on social systems. His scholarly approach integrates comparative legal analysis with practical policy development, examining how social security systems adapt to demographic shifts, labor mobility, and technological disruption. Recent work explores the tension between solidarity principles and individual responsibility in welfare systems, alongside the legal challenges of long-term care provision in aging societies. His publication record demonstrates consistent engagement with evolving social law paradigms, particularly evident in his 15 most recent articles spanning 2021-2024. These works reveal three dominant thematic clusters: (1) cross-border healthcare coordination and reverse discrimination issues in EU law; (2) adaptation of social security systems to digital labor markets and mobility patterns; and (3) conceptual evolution of social rights frameworks toward universal dignity-based protection. The publications strategically bridge theoretical legal analysis with concrete policy recommendations for national and supranational institutions. Scientific Recognition Alexander von Humboldt Fellow (continuous since 2010) Three-time recipient of Faculty of Law's Most Echoed Researcher Award (2020, 2021, 2023) Roger Dillemans Award for Excellence in Social Security (KU Leuven, 2004) Best Young Lawyer of the Year 2000 in Slovenia Strban's advisory impact extends through multiple high-level appointments including membership on the European Committee of Social Rights (Council of Europe), presidency of the Slovenian Association for Labour Law and Social Security, and vice-presidency roles in both the International Society for Labour and Social Security Law (Geneva) and the European Institute of Social Security (Leuven). His practical influence manifests in national policy through leadership of the Permanent Arbitration Court for collective labor disputes at Triglav Insurance and membership on Slovenia's Strategic Council for Health. Current research infrastructure includes coordination of the EU MoveS project and ongoing collaboration with the Max-Planck Institute for Social Law and Social Policy where he serves as external expert following his Humboldt Fellowship.

Pantelis Sopasakisمشاهده پروفایل

مدرس

• Model Predictive Control
• Embedded Numerical Optimization
• Stochastic Optimal Control
• +۵ مورد دیگر

Dr. Pantelis Sopasakis is a Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast, Northern Ireland. His research focuses on developing efficient numerical optimization algorithms and model predictive control (MPC) methodologies for uncertain systems, with applications in autonomous vehicles, smart infrastructure networks, and advanced manufacturing. He leads projects on embedded optimization solvers, GPU-accelerated MPC, and stochastic control for systems like water networks and microgrids. His work emphasizes real-time implementation and safety-critical applications in robotics and energy systems. He teaches postgraduate and undergraduate courses in control theory and signals, and is actively involved in supervising PhD students in areas like parallel algorithms and MPC for uncertain systems. Key achievements include the development of the Open-Source Optimization Engine , widely used for embedded MPC. Research interests span distributed embedded intelligence, intelligent uncertain-aware MPC, and biomedical applications of control systems. He collaborates internationally on projects involving risk-averse control, multi-agent systems, and circular economy applications. His interdisciplinary work bridges optimization theory, robotics, and energy systems, with a focus on scalable and real-time solutions. Teaching includes modules on control systems fundamentals and advanced MPC concepts, supported by his textbook Control Systems: An Introduction . Dr. Sopasakis has contributed to over 50 publications, with recent work on conformal prediction for stochastic control, distributed collision avoidance, and thermodynamical material networks. He participates in conferences and editorial activities, and has organized events like the 2025 IEEE UK and Ireland Robotics Conference. His research group is part of the Energy, Power, and Intelligent Systems and Control clusters at Queen's.

• Political Philosophy
• Ethics
• International Political Theory
• +۶ مورد دیگر

Prof. Dr. Frank Dietrich is a W3 Professor of Practical Philosophy at the Heinrich Heine University Düsseldorf since 2012. He serves as Spokesperson of ELSA-AG and Board Member of Stem Cell Network NRW , and acts as Commissioner for Students with Disabilities since 2022. His research spans political philosophy , ethics , and medical ethics , with particular focus on distributive justice , secession , and AI ethics . Education : Diploma in Social Sciences (Political Science), Gerhard Mercator University Duisburg (1994) Doctorate in Philosophy, Gerhard Mercator University Duisburg (2000) Habilitation in Philosophy, University of Leipzig (2008) Research Interests include: Political Philosophy : Territorial rights, democratic boundary problems, collective self-determination Ethics : Autonomy, parental authority, freedom of expression in digital networks Medical Ethics : Organ allocation, Xenotransplantation, disability rights Migration/Climate : Ethical implications of climate-induced migration, asylum rights Publications (selected) cover AI & Ethics , Journal of Social Philosophy , Migration and Climate Change , and Medical Resource Rationing . Scientific Awards : Fellowship at Alfried Krupp Wissenschaftskolleg Greifswald (2007/08) Board member of Stem Cell Network NRW (since 2021) Commissioner for students with disabilities (2022) Grants & Projects include DFG-funded research on Bioethics (2012/13), MLP Corporate University CFP training (2010-2020), and University of Mainz Medical Ethics program.

• Information Visualization
• Software Systems
• Cybersecurity
• +۳ مورد دیگر

Bill Buchanan is a Professor at the School of Computing Engineering and the Built Environment, Edinburgh Napier University, and a member of the Centre for Algorithms, Visualisation and Evolving Systems. His work spans Information Visualization , Software Systems , Cybersecurity , and AI , focusing on innovative solutions for complex data challenges. Research Interests: Information visualization for hierarchical data, cybersecurity frameworks, machine learning in industrial IoT, and post-quantum cryptographic systems. Projects: Supervised PhD projects on visualizing overlapping classification hierarchies and biological network inference. Currently leads research in AI-driven human-robot interaction and secure Dockerized architectures. Publications: 15+ recent works on quantum agents, GANs for anomaly detection, homomorphic encryption, and advanced cryptographic techniques. Collaborations: Engages with biologists, AI researchers, and cybersecurity experts across institutions.