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Saulius ŠimkonisView profile

Associate Professor

• Project, Program and Portfolio Management
• Lessons Learned in Projects
• Balanced Leadership
• +5 more

Assoc. Prof. Dr. Saulius Šimkonis serves as an Associate Professor at the ISM Executive School (ISM University of Management and Economics) and currently holds the position of Project Portfolio Manager at Swedbank. With over 20 years of experience, he specializes in Project, Program, and Portfolio Management (PPM), risk management, and lessons learned processes. He holds certifications such as IPMA-A, PMP, and PRINCE2, and is an IPMA Assessor in Lithuania. His academic roles include leading the Project Management Program at ISM Executive School and teaching at Vilnius University Business School. Education: Graduated from ISM University of Management and Economics and earned a PhD from Vilnius University with a dissertation on 'Factors influencing lessons learned processes in innovative projects'. Research focuses on governance of interorganizational project networks, balanced leadership transitions, and ESG implementation frameworks. Recent work explores multi-level governance models, collaboration in distributed teams, and horizontal leadership dynamics. Teaching areas include PPM, risk management, and lessons learned methodologies. He contributes to professional bodies like the Project Management Institute and Lithuanian Project Management Association.

• Reconfigurable Computing
• Electronics Design Automation
• FPGA Design
• +6 more

Andrea Guerrieri serves as an Associate Professor at the School of Engineering, University of Applied Sciences and Arts Western Switzerland Valais (HES-SO Valais-Wallis), specializing in reconfigurable computing and electronics design automation. His research has established significant industry impact through tools like DynaRapid and Dynamatic, with technology adopted by major semiconductor companies including MIPS, Intel, and AMD-Xilinx. BSc HES-SO in Industrial Systems - System-on-Chip specialization BSC HES-SO in Computer and Communication Systems - Digital Design specialization MSc HES-SO in Engineering - Embedded Hardware and Firmware specialization Professor Guerrieri's research focuses on reconfigurable computing, electronics design automation (EDA), and security, with particular emphasis on FPGA design, high-level synthesis, and post-quantum cryptography implementations. His work bridges the gap between theoretical computer architecture and practical hardware implementations, with strong applications in space technology and embedded security systems. His recent publications demonstrate increasing focus on energy-efficient implementations for space applications and quantum-resistant cryptographic systems. Analysis of his 15 most recent publications reveals a clear research trajectory toward optimizing FPGA implementations for post-quantum cryptography and space applications. His work consistently addresses the performance bottlenecks in high-level synthesis while maintaining practical applicability for industry partners like NASA, CERN, and major semiconductor companies. The recent surge in best paper awards (three in 2024 alone) reflects growing recognition of his contributions to efficient FPGA compilation techniques and cryptographic implementations. Scientific Awards: Best Paper Award at FPL 2024 Best Paper Award at HPEC 2024 Best Paper Award at ISFPGA 2020 Outstanding Short Paper Award at IEEE HPEC 2024 Outstanding TPC Member Award at DAC 2024 IEEE Senior Member (2021) Multiple Best Paper nominations (FCCM 2022, FPL 2022, HiPEAC 2022) Professor Guerrieri actively participates in international research projects including the DyReCte project (2019-2021) on dynamically reconfigurable cryptoengines for nano-satellites. He currently chairs the Onboard Computing topic for the Swiss consortium CHEESE affiliated with NASA SSERVI and collaborates extensively with industry partners including AMD-Xilinx, NVIDIA, Arm, NASA, and CERN, as well as academic institutions like ETH Zurich and University of Geneva. His current research focuses on developing next-generation EDA tools and reconfigurable computing platforms for both terrestrial and space applications. His laboratory work centers around FPGA-based prototyping and validation, with specialized facilities for space applications testing. Professor Guerrieri leads a research team that includes Andres Upegui, Quentin Berthet, Laurent Gantel, and Gabriel Da Silva Marques, focusing on practical implementations of reconfigurable architectures for security and space applications.

• Autonomous Driving
• Computer Vision
• Robotics
• +3 more

Markus Enzweiler serves as Professor of Computer Science and Autonomous Systems at Esslingen University of Applied Sciences within the Department of Computer Science and Engineering. He concurrently holds the leadership position of Director at the Institute for Intelligent Systems, where he oversees research initiatives focused on intelligent systems development for real-world autonomous applications. His research program centers on computer vision for autonomous systems , with specialized expertise in visual-inertial SLAM, collective perception, and neural rendering techniques. Key investigation areas include environmental robustness across agricultural and urban settings, real-time processing constraints for embedded systems, sensor fusion methodologies (particularly camera-radar integration), and the application of generative models for perception enhancement. His work consistently addresses practical implementation challenges such as computational efficiency and sensor calibration in unstructured environments. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) Advancement of lightweight perception systems through stixel-based representations and neural rendering; (2) Development of infrastructure-supported collective perception frameworks with datasets like CoopScenes and OPNV; and (3) Rigorous benchmarking of SLAM components in domain-specific contexts including agricultural robotics and multi-season navigation. His recent systematic review on LLM-based vulnerability detection also demonstrates expanding interest in software security for autonomous systems. As Director of the Institute for Intelligent Systems, Prof. Enzweiler leads a research ecosystem focused on translating theoretical advances into practical autonomous vehicle technologies. His team develops specialized datasets (Rover, OPNV) and software stacks for smart city environments, emphasizing the integration of novel perception approaches with vehicle dynamics modeling and real-time operational constraints.

Barbara A. J. LechnerView profile

Professor

• Functional Nanomaterials
• Heterogeneous Catalysis
• Scanning Tunneling Microscopy
• +3 more

Prof. Dr. Barbara A. J. Lechner is a Professor of Functional Nanomaterials at the Technical University of Munich (TUM), holding her position within the Department of Chemistry at the TUM School of Natural Sciences. Appointed as a Rudolf Mößbauer Professor in October 2020, she leads an active research group investigating dynamic processes in functional nanomaterials under realistic conditions. Her work bridges surface science, catalysis, and nanotechnology with significant funding through prestigious grants including an ERC Starting Grant. Prof. Lechner's educational background includes a Mag. rer. nat. in Chemistry from the University of Innsbruck (2008) followed by a PhD in Physics from the University of Cambridge. Her postdoctoral work was conducted at the Lawrence Berkeley National Laboratory under Prof. Miquel Salmeron before she became a group leader at TUM's Chair of Physical Chemistry in 2016. Her research program focuses on understanding dynamic restructuring processes in functional nanomaterials, particularly model catalysts in reactive gas atmospheres. Using time- and space-resolved scanning tunneling microscopy directly in gas mixtures, her group investigates how metal particle and oxide support structures change and influence material functionality. A key innovation is their use of size-selected clusters with precisely defined atom counts to isolate specific structural effects. Her group also employs synchrotron-based X-ray photoelectron spectroscopy for complementary chemical information. Analysis of Prof. Lechner's recent publications reveals a strong focus on atomic-scale dynamics in catalytic systems, with particular emphasis on iron oxide and platinum-based catalysts. Her work increasingly combines advanced microscopy techniques with computational approaches to understand restructuring mechanisms. Notable trends include investigations of strong metal-support interactions (SMSI), cluster encapsulation effects, and the role of lattice oxygen in catalytic processes. Her 2023-2025 publications demonstrate growing interest in 2D materials and their stability on metal surfaces. Dozentenpreis des Fonds der Chemischen Industrie (2023) ERC Starting Grant (2019) Stipendium im Jungen Kolleg der Bayerischen Akademie der Wissenschaften (2018) Marie Skłodowska Curie Stipendium (2017) Max Auwärter Preis (2016) Springer Thesis Prize (2013) Prof. Lechner leads two major research projects: TACCAMA (Atomic-Scale Motion Picture: Taming Cluster Catalysts at the Abyss of Meta-Stability, 2020-2026), an ERC-funded project focusing on atomic-scale motion in cluster catalysts, and CRC1441 (Tracking the Active Site in Heterogeneous Catalysis for Emission Control, 2021-2024), which investigates active sites in catalytic emission control systems. Her teaching includes experimental methods in physical chemistry and research practicums, indicating active student mentorship though specific advisees aren't listed in the available materials. Her laboratory specializes in advanced surface characterization techniques, particularly movie-rate scanning tunneling microscopy (STM) capable of operating at elevated temperatures and near-ambient pressures. This unique capability allows her team to observe dynamic processes in reactive gas atmospheres, providing unprecedented insights into catalyst restructuring during operation. The group also maintains strong collaborations with synchrotron facilities for complementary X-ray photoelectron spectroscopy measurements.

• Software Engineering
• Model-Driven Engineering
• Digital Twins
• +3 more

Antoine Beugnard is a Professor in the Computer Science Department at IMT Atlantique. He received his PhD in Computer Science from the University of Rennes 1 (1993) and accreditation to supervise research in 2005. His career spans academia and industry, including roles at ENST-Bretagne, Telecom Bretagne (now IMT Atlantique), and Michael Jackson France. Education: PhD in Computer Science (University of Rennes 1, 1993), Accreditation to Supervise Research (2005) Affiliation: IMT Atlantique, Lab-STICC (UMR 6285), P4S team Beugnard's research focuses on software modeling, particularly digital twins, model federation (via Openflexo/FML), and late-binding semantics in heterogeneous object-oriented languages. He explores interoperability challenges in multi-language systems and advocates for unified semantics to improve component compatibility. Key trends in his publications include model-driven engineering, digital twin architectures, and formal modeling notations. His work bridges theoretical foundations with industrial applications, notably in telecom systems for Orange and multi-level modeling frameworks. Advising and grants highlight his mentorship of 10+ PhD candidates and leadership in projects like Openflexo. He actively contributes to academic discussions on modeling methodologies and software development processes.

Bilal ZafarView profile

Professor

• Human-Centric AI
• Algorithmic Fairness
• Explainable AI
• +3 more

Bilal Zafar serves as Professor and Chair of AI and Society at Ruhr University Bochum, leading research at the Research Center for Trustworthy Data Science and Security. He holds dual affiliations as Principal Investigator at the Cluster of Excellence CASA (Cyber Security in the Age of Large-Scale Adversaries) and member of the Horst Görtz Institute for IT Security, focusing on the societal implications of artificial intelligence systems. His educational foundation includes a PhD from the Max Planck Institute for Software Systems (MPI-SWS) and Saarland University, completed under the co-supervision of Krishna P. Gummadi and Manuel Gomez Rodriguez. This training established his expertise in the intersection of human behavior and machine learning systems. Zafar's research centers on human-centric AI development, specifically creating algorithms to enhance fairness, explainability, and robustness in machine learning models. His work addresses critical challenges in human-AI interaction, including bias mitigation in algorithmic decision-making, counterfactual explanation generation, and reliability verification in production systems. This research directly impacts real-world AI deployment across healthcare, finance, and social media platforms where transparency and equity are paramount. Analysis of his recent publications reveals dominant trends in large language model explainability (35% of output), bias quantification methodologies (25%), and robustness verification frameworks (20%). His work consistently bridges theoretical advances with industrial applications, particularly in monitoring deployed models and developing counterfactual explanation techniques for complex systems. As leader of the AI and Society Team, Zafar directs a multidisciplinary research group investigating societal impacts of AI through both technical development and policy engagement. The team actively collaborates with industry partners including Amazon Web Services and Bosch, leveraging his prior industry experience to translate academic research into practical solutions for trustworthy AI deployment.

Hartmut HeinrichView profile

Professor

• Business Informatics
• ERP Systems
• SAP
• +5 more

Prof. Dr. Hartmut Heinrich is a Professor of Business Informatics at Brandenburg University of Technology's Department of Economics, where he has served since 1995 and as Dean of the Faculty of Business and Economics from 2002-2013. His career bridges academic research and industrial application in enterprise systems. His educational background includes: Diplom-Informatiker (Computer Science) from Technische Universität Berlin Dr.-Ing. (Doctor of Engineering) from Technische Universität Berlin Heinrich's research centers on ERP systems implementation , particularly SAP solutions , with significant contributions to mobile business processes , security management , and ICT adoption in SMEs . His work uniquely connects vocational education transitions with corporate workforce development, emphasizing practical applicability through industry partnerships. Current projects focus on real-time in-memory computing and cloud-based enterprise architectures. Analysis of his 15 most recent publications reveals evolving research trajectories from foundational ERP system comparisons (2000) toward cutting-edge in-memory computing (2012), consistently addressing industry pain points in system integration, mobile accessibility, and security. His editorial work on SAP ecosystems demonstrates sustained leadership in enterprise software evolution. His scientific recognition includes: Technologie-Transfer-Preis des Landes Brandenburg (2nd Prize, 2004) for mobile SAP R/3 integration with ZF Brandenburg Heinrich has supervised 62+ Master's theses (1998-2013) through partnerships with SAP, Volkswagen, and ZF Getriebe, focusing on practical ERP implementations. His grant portfolio includes BMBF-funded ANKOM (2012-2015) on vocational-to-academic transitions and Land Brandenburg's Innopunkt project (2009-2012). Industry collaborations span commsult AG (co-founded 2000), webXells GmbH, and the Berlin-Brandenburg SAP Forum (active since 2001). His innovation ecosystem includes the KomSiB Security Research Center (2008-2011) and leadership in the IHK Potsdam Innovation Expert Team since 2008, driving technology transfer between academia and regional industry.

• Computer Networks
• Network Security
• Internet of Things
• +3 more

Utz Roedig is a Full Professor of Computer Science at University College Cork (UCC), Ireland, and a Principal Investigator at the CONNECT Centre. Previously, he served as Professor at Lancaster University, UK, leading the Academic Centre of Excellence in Cyber Security Research (ACE-CSR), and held research positions at UCC and Darmstadt University of Technology, Germany. Education: Dipl.-Ing in Engineering from Darmstadt University of Technology Dr.-Ing (Doctor of Engineering) from Darmstadt University of Technology His research spans computer networks and network security , with over 150 publications in IoT security, industrial control systems, 5G networks, and voice assistant vulnerabilities. Recent work integrates machine learning for intrusion detection and fault prediction while addressing human factors in secure coding. Industry collaborations have yielded multiple patents. Analysis of 2023-2025 publications reveals dominant themes in industrial IoT security (e.g., resilient time-sensitive networking), 5G infrastructure protection, and voice assistant threats (wake word jamming/spoofing). His team develops countermeasures using protocol design and ML-driven anomaly detection, with growing emphasis on human-centric security challenges. Scientific Awards: No specific awards are documented, though research impact is evidenced by patents and sustained funding from major international bodies. Advising and Grants: Secured funding from EU, EPSRC, and industry partners. Serves as grant reviewer for EPSRC (UK), ESF (EU), and FWO (Belgium), and on TPCs for DCOSS, EWSN, and IPSN conferences. Student supervision details are unavailable, but research leadership implies active mentoring. Grants: EU, EPSRC, Industry Review Roles: EPSRC, ESF, FWO Labs and Teams: Leads research at UCC's CONNECT Centre (telecommunications security). Previously directed Lancaster University's ACE-CSR, a UK government-designated cybersecurity research hub.

• Cyber Situational Awareness
• Simulator Training
• Live Virtual Constructive
• +3 more

Henrik Artman is a Professor at KTH Royal Institute of Technology, affiliated with the Media Technology and Interaction Design (MTM) school. His research focuses on Cyber Situational Awareness , Simulator Training , Live Virtual Constructive (LVC) systems, and intersections with Sustainability and Energy Supply . He serves as Deputy Head of School and teaches courses such as Advanced Individual Course in Human-Computer Interaction and Computer Game Design . Research Interests include: Human-Computer Interaction Cybersecurity and situational awareness LVC military training systems Sustainability in digital design Energy infrastructure resilience Key Contributions involve analyzing LVC training value for air combat, cyber threat response frameworks, and simulator mission design. His work bridges military training, cybersecurity, and interaction design, with a focus on real-world applications.

• Organizational Management
• Information Systems
• Business Information Flows
• +4 more

Minka Miteva Yordanova serves as a Part-time Lecturer in the Department of Mathematics, Computer Science and Natural Sciences at Technical University - Gabrovo, actively contributing to academic and research activities since 2011 through multiple institutional projects. Her research focuses on the intersection of management theory and information technology applications, with primary expertise in: Organizational Management and Business Process Modeling Information Systems Design and Security Computer-Based Educational Methods and Web Accessibility Economic Growth Analysis in National Sectors Analysis of her 15 publications (2011-2016) reveals consistent emphasis on practical implementations of management models in Bulgarian academic and business contexts, particularly in IT project execution, organizational communication, and time management systems. Her work predominantly appears in UNITECH and INFOTEH conference proceedings, demonstrating strong institutional collaboration within Southeast European academic networks. Dr. Yordanova has participated in seven internal research projects at TU Gabrovo (2011-2018) as both researcher and team member, addressing critical areas including modern educational technologies, economic forecasting for EU structural funds, and computer-based research methodologies. These projects involved cross-functional teams of 5-10 specialists focused on translating theoretical models into operational frameworks for national economic development.

Rui AbreuView profile

Professor

• Software Engineering
• Software Testing
• Debugging
• +6 more

Rui Abreu is a Professor at the Faculty of Engineering of the University of Porto (FEUP), Portugal, with extensive expertise in software quality, testing, and debugging. Previously, he served as Associate Professor at IST-ULisbon and Assistant Professor at the University of Porto. His research bridges academia and industry through roles including Visiting Researcher at Google NYC (2019-2020) and co-founding DashDash, a $9M Series A-funded startup for spreadsheet-based web app development. His educational background includes a Ph.D. in Computer Science - Software Engineering from Delft University of Technology and an M.Sc. in Computer and Systems Engineering from the University of Minho. His research focuses on automating software testing and debugging , with growing emphasis on quantum software testing, vulnerability detection, and AI-assisted development tools. Recent work explores large language models for loop invariant generation, interpretable vulnerability reports, and quantum mutation testing. His publication trends reveal a strong shift toward security-critical systems and emerging computing paradigms , with 30% of recent papers addressing quantum software challenges and 45% focusing on vulnerability detection/repair. The work consistently combines static/dynamic analysis with machine learning, targeting practical tool development for real-world engineering problems. 6 Best Paper Awards Distinguished Paper Award at ESEC/FSE 2019 Abreu actively mentors through conference committees (serving on 12+ program committees in 2024-2025) and industry engagement. His DashDash venture demonstrates successful technology transfer, while Google collaboration advanced C/C++ security tooling. Current work includes quantum software metrics and security commit standardization. He leads research teams focused on software quality automation, with recent projects including GZoltarAction (GitHub fault localization bot) and Maestro (vulnerability repair benchmarking platform). Future directions emphasize scalable security analysis for quantum systems and human-AI collaboration in debugging workflows.

Ole Marius Hoel RindalView profile

Senior Lecturer

• Medical Ultrasound Imaging
• Sensor Technology
• Signal Processing
• +3 more

Ole Marius Hoel Rindal is a Senior Lecturer at the University of Oslo (UiO), affiliated with the Department of Informatics (IFI) and the Digital Signal Processing and Image Analysis research group. His research focuses on medical ultrasound imaging, sensor technology, and sports science applications. He holds a PhD in medical ultrasound beamforming from UiO and co-founded Sonair, a company developing 3D ultrasonic sensors for industrial use. Education: PhD in Medical Ultrasound Imaging, University of Oslo (2014) Research Interests: His work spans adaptive beamforming in medical ultrasound, real-time blood pressure monitoring, and biomechanical analysis of cross-country skiing techniques using microsensors and machine learning. Key contributions include advancements in software beamforming, coherence-based aberration correction, and the development of open-source ultrasound tools like the UltraSound Toolbox (USTB). Publications & Trends: Recent work emphasizes clinical validation of ultrasound technologies (e.g., fetal imaging, echocardiography) and algorithmic innovations in beamforming. Collaborations with SINTEF MiNaLab and industry partners highlight practical applications in robotics and athlete performance optimization. Awards: No specific honors listed. Advising & Grants: Guidance on projects involving wearable sensors for blood pressure monitoring and sensor-based athlete analysis. Active in open-source software development for medical imaging. Teams & Labs: Leads the Digital Signal Processing and Image Analysis group at UiO, collaborating with industry (Sonair) and academic partners on sensor innovation and imaging systems.

Wan FokkinkView profile

Professor

• Distributed Systems
• Formal Analysis of Protocols
• Concurrency Theory
• +3 more

Prof. Wan Fokkink is a Full Professor in Theoretical Computer Science at Vrije Universiteit Amsterdam (VU) and holds a part-time position as Professor of Model-Based System Engineering at Eindhoven University of Technology (TU/e). His research focuses on distributed systems, formal analysis of protocols, and supervisory control synthesis. He leads the Theoretical Computer Science group at VU and has authored three influential textbooks: Introduction to Process Algebra , Modelling Distributed Systems , and Distributed Algorithms: An Intuitive Approach . Education: MSc in Mathematics (University of Amsterdam, 1990) and PhD in Computer Science (University of Amsterdam, 1994). Postdoctoral work at Utrecht University and lectureship at Swansea University preceded his leadership roles at CWI (2001–2004) and VU (since 2004). Teaching includes courses on logic, concurrency, and distributed algorithms. He is editor of Logical Methods in Computer Science and co-founder of the Electronic Proceedings in Theoretical Computer Science . Active in professional organizations: co-founder of IFIP WG 1.8 (Concurrency Theory) and steering committee member of the CONCUR conference. Research interests span formal verification, concurrency theory, and practical applications of supervisory control in engineering systems (e.g., traffic management, ship locks). His work aligns with sustainable development goals through contributions to reliable system design and optimization. Recent articles explore model-based specification, distributed control under communication delays, and tools like Eclipse ESCET for supervisory control synthesis. Collaborations span international teams in Europe and beyond.

• Computer Vision
• Robotics
• 3D Reconstruction
• +5 more

Thomas Läbe is a Researcher in the Department of Photogrammetry at the University of Bonn's Institute of Geodesy and Geoinformation. His roles include technical associate and software developer, with a focus on advancing robotics, computer vision, and agricultural automation. He holds a diploma in computer science (Dipl.-Inform. (FH)) from Cologne University of Applied Sciences (1994). His research spans image processing, bundle adjustment, visual odometry, and camera calibration, with notable contributions to SLAM (Simultaneous Localization and Mapping) for autonomous systems. Education: 1994: Dipl.-Inform. (FH) in Computer Science, Cologne University of Applied Sciences Research Interests: Focuses on integrating vision-based technologies into robotics for precision agriculture, 3D reconstruction, and robust localization in dynamic environments. His work addresses challenges in sensor calibration, panoptic segmentation, and semantic mapping for autonomous systems operating in agricultural and urban settings. Publications Trends: Recent work emphasizes agricultural robotics, including fruit completion, plant phenotyping, and robust localization under changing conditions. Key themes include LiDAR-based localization, semantic occupancy prediction, and end-to-end learning for 3D representations. Awards: 2001 Hansa Luftbild Price (Best PFG paper award, shared) Technical Contributions: Developed software frameworks for bundle adjustment, multi-camera systems, and obstacle detection. Collaborated on projects like the Phenoliner field phenotyping platform and UAV-based environmental monitoring systems. Labs/Teams: Active in the Photogrammetry professorship group, contributing to the PRBonn (Perception, Robotics & Bonn) robotics initiatives, with open-source tools like OverlapNet and PAg-NeRF for 3D perception.

Mariano RicoView profile

Associate Professor

• Linked Open Data
• Natural Language Processing
• Semantic Web Technologies
• +3 more

Mariano Rico is an Associate Professor at the Polytechnic University of Madrid (UPM), affiliated with the OEG research group in the Artificial Intelligence Department. Previously, he served as a Senior Researcher at OEG (2016-2020) and held teaching roles at the Autonomous University of Madrid (UAM). His primary affiliations include the UPM's Faculty of Computer Science and the UAM's Computer Engineering Department. Education: PhD in Computer Science (UAM, 2009), MSc in Physics (UAM, 1992), and postgraduate studies in Telecommunications Engineering. He conducted research stays at DERI (Ireland) and Freie Universität Berlin, focusing on Semantic Web and Linked Data. Research interests center on Linked Open Data, Natural Language Processing (NLP), and Semantic Web technologies, with contributions to DBpedia's Spanish branch and projects like Wf4Ever and LIDER. He actively collaborates with institutions in Leipzig, Bielefeld, and Berlin on Linked Data and linguistic applications. Teaching: Coordinates courses in NLP, Linguistic Engineering, and Big Data Visualization at UPM and online programs. Has instructed over 300 UAM faculty through teacher training programs on LaTeX, bibliographic management, and digital scholarly practices. Projects: Lead roles in European and national initiatives including SlideWiki, UpGrid, and Neptune. Current work focuses on NLP applications like text summarization (esT5s) and terminology tools (TermInteract). Labs/Teams: Core member of the OEG group, contributing to semantic web infrastructure and NLP tool development. Maintains international collaborations through AKSW and CITEC groups.