جستجوی استاد راهنمای دانشگاهی

• Information Systems
• Databases
• Knowledge Graphs
• +۷ مورد دیگر

Stefan Decker is a full University Professor (Universitätsprofessor) at RWTH Aachen University, Germany, where he heads the Chair of Information Systems and Databases (Informatik 5) within the Faculty of Mathematics, Computer Science and Natural Sciences. He is actively involved in teaching, research, and the supervision of numerous ongoing and completed doctoral, master’s, and bachelor theses. Education & Academic Background Doctorate (Dr. rer. pol.) – field of Information Systems or related (exact institution/year not stated in text). Appointed as University Professor and Chair of Information Systems and Databases at RWTH Aachen University. Research Interests Prof. Decker’s work lies at the intersection of databases, knowledge graphs, semantic web technologies, data science, and cybersecurity . He investigates architectures and algorithms for large-scale, privacy-preserving, decentralized data analytics , develops ontology-driven information systems , and explores the use of large language models (LLMs) for educational technology, anomaly detection, and incident-response playbooks. Additional focal areas include smart energy systems, mixed-reality learning environments, FAIR data principles, and federated machine learning . Scientific Contributions & Trends His recent publications (2022-2025) demonstrate a clear trend toward explainable AI, LLM-enhanced systems, secure data spaces, and semantic interoperability . Key contributions include novel anomaly-detection frameworks for encrypted power-grid communications, knowledge-graph-driven chatbots for higher-education support, and methodological advances in decentralized analytics and FAIR data sharing. These works are disseminated in top-tier venues such as AAAI, IEEE ISGT Europe, ESWC, IDEAL, and various Springer LNCS and IEEE Transactions. Supervision & Grants Doctoral Theses Advised: A. T. Neumann – “Chatbots as professional companions in large-scale community information systems” (2024) S. M. Welten – “Methods for practical data sharing and decentralized analytics” (2025) Master’s Theses Co-Advised: A. R. Küsters – “Object-centric process constraints using variable bindings” (2025) Additionally supervising more than 30 ongoing bachelor, master, and doctoral projects covering topics such as LLM-driven cybersecurity playbooks, knowledge-graph construction for German law, privacy-preserving analytics in smart grids, and mixed-reality learning agents. Principal investigator or senior researcher in large collaborative projects including NFDI4DS, WestAI, champI4.0ns and several EU/national initiatives on sovereign data spaces and AI services. Labs & Teams Prof. Decker leads the Information Systems & Databases (DBIS) Research Group . The group operates well-equipped laboratories for knowledge-graph engineering, mixed-reality applications, privacy-enhancing technologies, and secure distributed analytics . Current team size exceeds 30 researchers including PhD candidates, postdocs, and scientific programmers, supported by national and EU funding streams.

• Automotive Security
• Network Security
• IT Security
• +۵ مورد دیگر

Hans-Joachim Hof is a Professor and Vice President for Teaching and Students at Technische Hochschule Ingolstadt (THI), where he has been employed since 2016. He serves as Head of Bachelor Cybersecurity (since 2022), Project Manager for THIsuccessAI (since 2021), and Head of the Research Group 'Security in Mobility' at the CARISSMA Institute of Electric, Connected and Secure Mobility. Additionally, he chairs the Scientific Board of the Center of Entrepreneurship and serves on the Supervisory Board of AININ. Professor, Head of INSecurity - Ingolstadt Applied IT Security Research Group (since WS 2016) Professor of Secure Software Systems, Head of MuSe - Munich IT Security Research Group at HAW Munich (2011-2016) Research Scientist at University of Karlsruhe (2008-2011) Research Assistant at Institute for Telematics, University of Karlsruhe (TH) (2003-2007) Professor Hof holds a doctorate in engineering and completed studies in computer science with a specialization in telematics and reliability architectures of systems, with a minor in law. His research spans automotive security, network security, and IT security, with recent focus on security in the Internet of Things, development processes for Secure Automotive Software, Automotive Blockchains, and Future Automotive Security Architectures. His work bridges theoretical security frameworks with practical automotive applications, particularly in electric vehicle security and battery management systems. Hof's recent publications reveal a strong trend toward automotive cybersecurity, with particular emphasis on electric vehicle infrastructure security, battery management systems, and vehicle security operations centers. His research increasingly addresses the security challenges of connected and autonomous vehicles, with growing attention to trust management systems and the security implications of AI in automotive contexts. The interdisciplinary nature of his work connects computer security with automotive engineering, energy systems, and digital forensics. Professor Hof has received numerous prestigious awards for his research contributions: Multiple Best Paper Awards at SECURWARE (2015, 2016, 2017) Best Paper Awards at CENTRIC (2010, 2012) Best Speaker Award at ESE Congress 2015 IARIA Fellow recognition Best Paper Award at ICIW 2010 As Editor-in-Chief of the International Journal on Advances in Security and Chairman of the German Chapter of the ACM, Hof plays a significant role in shaping security research discourse. His leadership extends to the German Informatics Society where he serves on the Executive Board. His research group INSicherheit (http://insi.science) actively collaborates with industry partners on real-world security challenges. Professor Hof leads the INSecurity research group at THI, which focuses on applied IT security with particular expertise in automotive contexts. The group maintains strong industry connections and operates within the CARISSMA research institute, which specializes in electric, connected, and secure mobility. Their work includes practical security testing, development of security architectures, and analysis of emerging threats in automotive systems, with notable contributions to EV charging security, battery management systems, and vehicle forensics.

• Conceptual Modeling
• Ontology
• Domain Modeling
• +۷ مورد دیگر

Tiago Prince Sales is an Assistant Professor in the field of Semantics, Cybersecurity & Services, actively contributing to foundational research in conceptual modeling, ontology, and information systems. His work bridges formal methods with practical applications in digital platforms, cybersecurity, and knowledge representation. Assistant Professor, Semantics, Cybersecurity & Services Active in international research communities (FOIS, ER, BPMDS, RCIS) Key focus: Ontology, Domain Modeling, Interoperability, Digital Platforms Recognized with multiple best paper awards His research centers on the development and application of formal conceptual models using frameworks such as OntoUML and the Unified Foundational Ontology (UFO). He investigates how domain models can enhance system design, improve interoperability, and support risk analysis in complex information systems. His work often integrates empirical insights with theoretical rigor, aiming to address real-world challenges in modeling. The recent publications highlight a strong trend toward ontological engineering in cybersecurity (e.g., phishing attack modeling), digital platform taxonomy, and FAIR data planning. These works demonstrate a consistent focus on creating reusable, semantically rich models that support both human understanding and machine processing across domains. The integration of modeling with data science and security indicates a forward-looking research agenda. Best paper award at FOIS 2023 Best paper award at ER 2022 EMMSAD 2025 Best paper award Tiago Prince Sales actively mentors and collaborates with researchers, though no formal students are listed. He has secured recognition through competitive awards and leads significant research outputs, including datasets and open models. His involvement in organizing top-tier conferences such as FOIS 2024 reflects leadership in the academic community. While specific grants are not listed, his productivity suggests external funding support. He contributes to open science through Zenodo-hosted datasets like the OntoUML Vocabulary and GO-Plan method, and participates in collaborative teams focused on knowledge graphs, FAIRification, and model-driven engineering. His role in organizing the FOIS 2024 conference underscores his integration within leading research networks in formal ontology and conceptual modeling.

Thomas Piechaمشاهده پروفایل

پژوهشگر

• Constructive Semantics
• Proof Theory
• Logic
• +۳ مورد دیگر

Dr. Thomas Piecha is an active researcher and academic staff member in the Department of Computer Science at the University of Tübingen's Faculty of Mathematics and Natural Sciences. Since 2009, he has contributed significantly to proof-theoretic semantics and logic research, while also serving as Managing Director of the Carl Friedrich von Weizsäcker Center since 2021. His international collaborations include visiting positions at Paris 1 Panthéon-Sorbonne (2014/15, 2018/19) and PUC Rio de Janeiro (2020). Dr. Piecha's research focuses on constructive semantics, general proof theory, proof-theoretic semantics, hypothetical reasoning, and game-theoretic approaches to logic. His work bridges computer science, philosophy, and mathematical logic, examining foundational questions about meaning, validity, and inference. He approaches logical systems through their proof structures rather than model-theoretic semantics, investigating how meaning emerges from inferential practices. His recent publications (2021-2025) show a clear trend toward integrating Popper's philosophical insights with contemporary proof theory while continuing to address fundamental problems in constructive semantics. The articles demonstrate consistent focus on completeness problems in proof-theoretic frameworks, logical constants, and the philosophical implications of different semantic approaches to logic. His notable recognition includes: Teaching Award of the Study Commission at the Department of Computer Science (WS 2023/24) Dr. Piecha has secured significant research funding through multiple collaborative projects including DFG-funded initiatives like 'Constructive Semantics and the Completeness Problem' (2019-2023) and joint French-German projects such as 'BEYOND LOGIC' (2015-2019). His research program has been consistently supported by major funding bodies including DFG, ANR, VolkswagenStiftung, and the European Science Foundation. He actively contributes to the academic community through conference organization including the Hilbert-Bernays Summer School on Logic and Computation (2019) and multiple workshops on 'Can software be responsible?'. His work with the Carl Friedrich von Weizsäcker Center since 2021 represents an institutional commitment to interdisciplinary research bridging technical and philosophical aspects of logic.

Frank Leymannمشاهده پروفایل

استاد

• Software Architecture
• Pattern Languages
• Service-Oriented Computing
• +۸ مورد دیگر

Frank Leymann is a Professor of Computer Science at the University of Stuttgart, where he serves as Director and Founder of the Institute of Architecture of Application Systems. His career spans academia and industry, including 20 years at IBM Germany as a Software Architect. Research Focus: Workflow Management, Service Computing, Cloud Computing, Quantum Computing, Pattern Languages, Digital Humanities. Standards: Co-author of BPEL, BPMN, WS-RF, TOSCA, Human Task specifications. His work on quantum computing emphasizes hybrid quantum-classical applications and practical integration challenges. He pioneered the OASIS cloud standard TOSCA and developed the open-source OpenTOSCA platform, which has over 1,000 downloads. Scientific awards include an Honorary Doctorate from the University of Crete (2015), IBM Distinguished Engineer (2000), and IBM Academy of Technology membership (1996). Google Scholar cites his work over 43,300 times (H-Index 89), ranking him among the world's top computer scientists.

Sasan Matinfarمشاهده پروفایل

پژوهشگر

• Medical Sonification
• Sonic Interaction Design
• Extended Reality (XR)
• +۴ مورد دیگر

Sasan Matinfar is a research scientist at the Technical University of Munich (TUM), affiliated with the Chair of Computer Aided Medical Procedures (Prof. Navab) and the Munich Center for Machine Learning (MCML). He serves as scientific staff at Rechts der Isar Hospital, developing XR and sonification systems for surgical environments since 2020. His educational background includes: Master’s and Bachelor’s in Computer Science, Ludwig Maximilian University of Munich (LMU) Musicology, Franz Liszt University of Music, Weimar Piano Interpretation, Art University of Tehran Matinfar pioneers medical sonification and multisensory XR, creating auditory interfaces that convert tissue properties into sound for surgical guidance. His work in user-centered design produces clinically viable tools like the Ocular Stethoscope for retinal procedures and physics-based BioSonix frameworks, merging computer vision with perceptual audio engineering to enhance intraoperative precision without visual overload. Analysis of his 12 recent publications (2017-2025) reveals an evolving research arc from foundational surgical soundtracks to sophisticated context-aware sonification. Current work integrates generative AI with real-time tissue deformation modeling, focusing on multimodal frameworks where auditory feedback complements visual navigation in complex surgeries like cardiac interventions and retinal peeling. Key recognitions include: The Data Sonification Award (2025) MICCAI 2023 Best Paper Nominee (top 3% of submissions) MICCAI Young Scientist Award (2017, top 2% of papers) As an educator, Matinfar mentors students through TUM courses including Medical Augmented Reality (WS 2025/26) and Surgical Robotics, while co-organizing the Medical Augmented Reality Summer School and IEEE ISMAR 2025’s MIX Workshop. His patented technologies emerge from collaborations with Politecnico di Milano, TU Dresden’s CeTI, and Balgrist Hospital Zurich, securing interdisciplinary grants in surgical data science. Matinfar operates within TUM’s NARVIS Lab for medical image analysis and RobUSt for robotics-ultrasound integration, leveraging the German Heart Center Munich (DHM) infrastructure to validate XR systems in live surgical workflows and advance vision-language models for intraoperative decision support.

Richard Ballمشاهده پروفایل

دانشیار

• Construction Materials Science
• Sustainable Materials Development
• Building Conservation
• +۷ مورد دیگر

Richard Ball is an Associate Professor at the University of Bath in the Department of Architecture & Civil Engineering. He is affiliated with multiple research centers, including the Centre for Sustainable Chemical Technologies (CSCT), Centre for Integrated Materials, Processes & Structures (IMPS), Centre for Climate Adaptation & Environment Research (CAER), and Centre for Regenerative Design & Engineering for a Net Positive World (RENEW). He holds leadership roles as President of the West of England Metals and Materials Association and a member of the Bristol Scientific Club. Ball is actively involved in doctoral supervision and welcomes students exploring materials science in construction, particularly in fibrous plaster, lime binders, nanomaterials, sensors, indoor air quality, and waste utilization. His educational background includes a PhD in materials science from the University of Bath, titled 'Failure Mechanisms in the Valve Regulated Lead/Acid Battery' (2000). Ball has secured significant research funding, including principal investigator roles for Leverhulme Trust and EPSRC grants such as 'An overlooked heritage: revealing the fibrous plaster ceilings of the UK' (Leverhulme Trust), and co-investigator roles in EPSRC projects like 'Aerial Additive Building Manufacturing' and 'Resilient Materials for Life (RM4L)'. He has also received support from the Royal Academy of Engineering, British Council, and Royal Society. Ball's research focuses on microstructure-macrostructure property relationships of construction materials, with emphasis on cementitious binders, sensors, degradation processes, and indoor air quality improvement. His work addresses sustainable development goals through innovations in 3D printing materials, conservation strategies, and waste utilization. Recent projects include studying fibrous plaster mechanics via synchrotron XRD/CT, optimizing lime-based mortars for freeze-thaw resistance, and developing photocatalytic coatings for pollution control. Ball has been recognized with the Elsevier Atlas Award (2018) for research on recycled plastic in construction. His contributions extend to collaborative events such as the Historic England-University of Bath Research Workshop (2024) and keynote addresses at the INDO-KOREAN SPARC Symposium (2025). He actively participates in conferences like the 43rd Cement & Concrete Science Conference (2024), emphasizing knowledge exchange in material science and conservation. Ball’s grants and supervisory work highlight his role in advancing interdisciplinary research. Current projects include aerial additive manufacturing with drones, resilient materials for long-term durability, and moisture dynamics in historic buildings. He has supervised 10 doctoral works, including the notable thesis by Benjamin Dams on fibrous plaster systems. His research outputs and datasets address material performance, environmental impacts, and innovative applications for construction challenges.

Davide Dell'Annaمشاهده پروفایل

استادیار

• Human-centered Artificial Intelligence
• Human-AI Collaboration
• Social and Responsible AI
• +۳ مورد دیگر

Davide Dell'Anna is an Assistant Professor in the Responsible AI group of the Department of Information and Computing Sciences at Utrecht University. He is a member of the Hybrid Intelligence Centre, a 10-year program funded by the Dutch Ministry of Education, Culture and Science through NWO. His academic journey includes a Ph.D. from Utrecht University (2021), a Master's degree from the University of Turin (2016), and prior postdoctoral positions at Delft University of Technology (2021-2023) and within the Hybrid Intelligence Centre (2023-2024). Dr. Dell'Anna's research focuses on developing methodologies and solutions for Artificial Intelligence systems to cooperate synergistically and proactively with humans. His work specifically emphasizes automated and data-driven mechanisms that account for human intentionality and expertise to ensure AI behaviors are aligned with human norms and values. His research spans multiple domains including healthcare, social computing, and transportation, with applications in dementia therapy, epidemic simulation, and human-robot interaction. His scholarly output demonstrates a consistent focus on Human-centered AI, Norm-aware Systems, and Hybrid Intelligence. His recent publications explore quality models for Hybrid Intelligence teams, social norm-aware robot architectures, consent mechanisms for responsible autonomy, and replication practices in Requirements Engineering. His work bridges theoretical foundations with practical applications, particularly in healthcare contexts. Distinguished PC Member award - AAMAS 2025 (recognizing 35 out of 684 PC members, 5.1%) "Quality Champion" PC award - ECAI 2023 (recognizing 58 out of 700 eligible PC members, 8.3%) Outstanding PC member award - AAMAS 2023 (recognizing 16 out of 436 PC members, 3.7%) Dr. Dell'Anna actively supervises students and has mentored numerous Master's students including Karpínski, van Lindonk, Willems, and Brigola. He has secured competitive research funding including an NWO Open Competition Domain Science - XS Grant (€50,000) for developing human-like norm-aware cognitive robots. He serves as Associate Editor for CEUR-WS and co-chairs major international workshops including COINE@AAMAS 2025 and HHAI 2025, demonstrating significant leadership in the AI research community.

Richard St-Denisمشاهده پروفایل

دانشیار

• Discrete Event Systems
• Supervisory Control Theory
• Formal Methods
• +۵ مورد دیگر

Richard St-Denis is an Associate Professor in the Department of Computer Science at the University of Sherbrooke, Quebec, Canada. His academic work focuses on theoretical and applied aspects of discrete event systems, supervisory control theory, and formal methods in software engineering. With a career spanning several decades, he has established himself as a significant contributor to the field of controller synthesis and formal specification methods. St-Denis's research interests center around discrete event systems and supervisory control theory, with particular emphasis on the development of formal methods for system specification and controller synthesis. His work bridges theoretical computer science and practical applications in industrial control systems. He has made substantial contributions to extending statecharts with process algebra operators, developing entity-based black-box specification methods (EB3), and creating automated measurement techniques for software size. His recent work has focused on solver-aided programming languages like αRby, ProB, and Rosette, exploring their applications in supervisory control theory. Analysis of St-Denis's publication record reveals a consistent evolution from foundational work in discrete event systems and controller synthesis toward more modern applications involving solver-aided programming and formal verification techniques. His research shows a clear progression from theoretical foundations to practical implementations, with increasing emphasis on automated reasoning and formal verification in recent years. The interdisciplinary nature of his work connects computer science, control theory, and software engineering, demonstrating how formal methods can be applied to solve complex problems in system design and verification. St-Denis has been involved in the MELODIES (Modeling Environment for LOgical DIScrete Event Systems) project, which provides a prototyping environment for novices in the field of discrete event systems. This educational tool demonstrates his commitment to making complex theoretical concepts accessible to new researchers and practitioners. His work on Strongly Connected Components modules, State-based control theory implementations, and N-inference observability models showcases his dedication to both theoretical advancement and practical implementation of control systems concepts.

Marco Liessمشاهده پروفایل

پژوهشگر

• SmartNIC Development
• 6G Networking
• FPGA-based Networking
• +۴ مورد دیگر

Marco Liess serves as a Scientific Staff Member and doctoral candidate at the Chair of Integrated Systems within the TUM School of Computation, Information and Technology. His work focuses on hardware aspects of network interfaces and processing resources, with particular emphasis on SmartNIC development for next-generation networking systems. The chair participates in multiple research initiatives including the 6G Future Lab Bavaria and 6G Life projects. Dr. Liess holds a Master of Science in Electrical Engineering and Information Technology from TUM (2019-2021), with specialization in Embedded and Control Systems. His master's thesis on 'Frame Synchronization for Satellite-based IoT Applications' was completed at the German Aerospace Center (DLR). Previously, he earned a Bachelor of Science in the same field (2016-2019), focusing on Communication Networks, Embedded Systems, and Security, with his bachelor's thesis on 'Efficient Key Establishment for IoT Applications' conducted at Fraunhofer AISEC. His research primarily investigates hardware acceleration of data paths between network interfaces and processors, memory bottleneck avoidance, dynamic power management, and efficient hash algorithms. These interests align with current 6G research directions focusing on deterministic real-time processing for mission-critical applications. His work bridges hardware design (particularly FPGA implementations), operating system interactions, and networking protocols to create energy-efficient, high-performance network processing solutions. Analysis of his publication record reveals strong focus on SmartNIC architectures, with consistent contributions to major conferences in networking and computer architecture. His work demonstrates progression from satellite IoT communications toward advanced packet processing pipelines and real-time networking solutions for 6G infrastructure. Key themes include hardware-software co-design, power efficiency, and deterministic performance guarantees for time-sensitive networking applications. As an academic supervisor, Dr. Liess actively mentors students through various thesis projects ranging from FPGA-based network testers to Linux scheduler optimizations. His teaching responsibilities include 'Chip Multicore Processors' since SS 2024 and previously supervised 'Seminar Integrierte Systeme' and 'Seminar on Topics in Integrated Systems' from WS 2022/23 to WS 2023/24. Current projects under his supervision address critical challenges in 100Gbps networking, hardware tracing mechanisms, and server state tracking using SmartNIC technology.

Kurt Englmeierمشاهده پروفایل

استاد

• Information Systems
• Text Mining
• Blockchain
• +۶ مورد دیگر

Prof. Kurt Englmeier is a Professor of Business Information Systems at the Faculty of Computer Science, Hochschule Schmalkalden. He specializes in Information Architectures, Text Mining, and Enterprise Information Integration. His teaching focuses on topics like Blockchain, Human-Computer Interaction, and Project Management. Englmeier holds a Diplom from Universität Regensburg (1987) and a PhD from Hochschule St. Gallen (1993). He previously held a professorship in Business Informatics at Universidad de Talca, Chile (1999–2000 and 2004). Research & Awards: His research includes managing EU projects such as IRAIA (FP5-IST), eStage, and WS-Talk (FP7). He is an ACM Senior Member and holds a Project Management Professional (PMP) certification. Recent work addresses hate speech detection, fake news mitigation, and context-aware retrieval systems. Grants & Projects: Led diverse EU-funded initiatives focusing on information systems and user-centric technologies. His contributions span collaborative projects like the IRAIA initiative (1999–2002) and eStage (2001–2002), emphasizing practical applications of information integration frameworks. Labs & Teams: Engaged in interdisciplinary teams developing systems like Contexter for fake news detection and Aspect Blueprint tools for text analysis. His work bridges theoretical research with real-world enterprise solutions.

Alexander Samokhvalovمشاهده پروفایل

استادیار

• Spectroscopic Analysis
• Nanomaterials
• Metal-Organic Frameworks (MOFs)
• +۳ مورد دیگر

Alexander Samokhvalov is an Assistant Professor in the Department of Chemistry at Morgan State University. He is affiliated with the DOD Center of Excellence for Advanced Electro-Photonics with 2D Materials. His academic journey includes a B.Sc. and M.Sc. from Novosibirsk State University (Russia), a Ph.D. from the Weizmann Institute of Science (Israel), and postdoctoral positions at Duke University, UCSB, Auburn University, and Rutgers University. His research focuses on high-resolution spectroscopic methods, nanomaterials, metal-organic frameworks (MOFs), and their applications in drug delivery, environmental remediation, and energy materials. Dr. Samokhvalov has pioneered ultra-high resolution solid-state synchronous luminescence spectroscopy and holds a U.S. patent (2021) related to this method. He has secured major grants from the Army Research Laboratory and NIH, and his work is widely published in peer-reviewed journals. Education: B.Sc./M.Sc. Chemistry, Novosibirsk State University, Russia (1992) Ph.D. Chemistry, Weizmann Institute of Science, Israel (2002) Research Interests: Development of advanced spectroscopic techniques (e.g., synchronous luminescence) Nanomaterials for drug delivery and environmental applications MOF-based sorbents for ultraclean fuels and toxin remediation 2D materials (WSe₂, WS₂) optoelectronic properties Grants & Collaborations: Funding from ARL and NIH supports studies on EMI shielding, MOF encapsulation, and nanocomposite sorbents. Active collaborations include DOD initiatives and industry partnerships. Labs/Teams: Leads the Advanced Spectroscopy and Nanomaterials group at Morgan State, contributing to the DOD Center of Excellence's mission in electro-photonics and 2D materials.

Jiangang Maمشاهده پروفایل

مدرس ارشد

• Data Science
• Algorithms Design
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Jiangang (Mike) Ma is a Senior Lecturer in Information Technology at Federation University Australia's Institute of Innovation, Science and Sustainability (IISS). Previously, he held academic positions at James Cook University and Victoria University, focusing on data science and IoT research. He earned his PhD in Computer Science from Victoria University and a Master's in Information Technology from Queensland University of Technology. His research interests include data science, algorithms design, artificial intelligence, image/video processing, IoT, and health informatics. He has published over 40 papers in top-tier conferences/journals such as IEEE ICDM and IEEE ICDE. Current research projects involve anomaly detection in healthcare, real-time IoT activity identification, and big data similarity search. Dr. Ma's work spans cloud service selection frameworks, medical data stream analysis, and deep learning applications. He supervises PhD students and collaborates on grants related to healthcare IoT and data mining. His contributions include frameworks like WS-Finder and Cloud-FuSeR, addressing challenges in service discovery and SLA assurance. Labs/Teams: Active participant in the IISS's interdisciplinary research groups, contributing to projects in health informatics and IoT applications.

• Cloud Computing
• Distributed Systems
• Serverless Architecture
• +۴ مورد دیگر

Aleksander Slominski is a prominent researcher in distributed systems and cloud computing, with a focus on serverless architectures, grid computing, and workflow management. His work spans over two decades, contributing to foundational frameworks like Apache Airavata and Triggerflow, as well as influential studies on security mechanisms and performance analysis in distributed environments. He has collaborated extensively with institutions like Indiana University and IBM, addressing challenges in multi-tenant cloud services and hybrid computing models. Key contributions include pioneering serverless computing research, defining scalable cloud service architectures, and advancing the integration of machine learning models into serverless platforms. Recent work explores edge computing benchmarking and the application of large language models in scientific knowledge organization. Research interests include: serverless computing, distributed systems, workflow orchestration, API ecosystems, and future computing trends. Collaborations with NFDI initiatives highlight his commitment to open science and FAIR principles, leveraging knowledge graphs for sustainable research practices.

• Cloud Computing
• Business Process Management
• Workflow Systems
• +۴ مورد دیگر

Amirreza Tahamtan is affiliated with the Institute of Software Technology and Interactive Systems at TU Wien. His research focuses on cloud computing, business process management, workflow systems, temporal reasoning, and IT infrastructure optimization. He has contributed to developing frameworks for cloud service discovery, BPEL extensions for time management, and privacy-preserved interorganizational workflows. Key projects include the Network Lab and collaborative efforts with institutions like Rechenzentren. His work bridges theoretical advancements in workflow systems with practical applications in public sector IT integration and low-carbon supply chain management. Publications span from 2005 to 2012, emphasizing interdisciplinary approaches combining machine learning (e.g., SOM-based content analysis) with cybersecurity and neuroimaging data analysis.