جست‌وجوی استاد و پژوهشگر

Felix Jesus Garcia Clementeمشاهده پروفایل

استاد

• Cybersecurity
• Artificial Intelligence
• Industry 4.0
• +۳ مورد دیگر

Félix Jesús García Clemente is a Full Professor in the Department of Computer Architecture and Technology at the University of Murcia's Faculty of Computer Science. He is a member of the Mobile Computing and Computer Vision Research Group and serves as Project Manager at CyberDataLab and Director of the University Chair in Smart Industry. His work spans cybersecurity, AI, Industry 4.0, and educational technology, with over 100 publications and active involvement in national and international R&D projects. Education: PhD in Computer Science from the University of Murcia (2006), supervised by Dr. Gregorio Martínez Pérez and Dr. Antonio Skarmeta Gómez. Research Interests: Cybersecurity (including anomaly detection and threat mitigation), AI applications in education and industry, Industry 4.0 technologies, and game-based assessment systems. His work integrates machine learning, IoT, and fog computing for real-world applications such as smart farming and industrial automation. Recent Research Trends: A focus on cybersecurity in edge/fog environments, AI-driven educational tools, and interdisciplinary projects like MeloDI for crop quality assessment. Collaborations include EPFL (Switzerland), NTU (Singapore), and Stanford University. Awards: None explicitly listed, though his extensive R&D leadership and numerous funded projects reflect significant recognition. Grants & Projects: ROBUST-6G (EU Horizon): Secure 6G platform development EU-GUARDIAN (EU Defense): Cyber defense automation REACTMAN5.0 (Spain): Cybersecurity in Industry 5.0 CDL-TALENTUM (INCIBE): Cybersecurity professional development Labs & Teams: Leads the Mobile Computing and Computer Vision Research Group, collaborates with Bleecker and Scorpion Cybertechnologies, and oversees the University Chair in Smart Industry.

• Biofabrication
• Textile Architecture
• Biomaterials
• +۳ مورد دیگر

Dilan Ozkan is a researcher at Northumbria University, specializing in biofabrication and textile architecture. His work bridges computational design with biological materials, focusing on mycelium-based composites and bacterial cellulose applications. Research themes include: Biohybrid textile architecture Parametric material development Regional waste stream utilization Multi-kingdom organism composites Algorithmic growth modeling Climate-responsive material systems His publications demonstrate a focus on sustainable construction practices and living material integration in architectural contexts.

Chatziantoniou Damianosمشاهده پروفایل

استاد

• Big Data Systems
• Business Intelligence
• Large-Scale Analytics
• +۵ مورد دیگر

Professor Chatziantoniou Damianos holds a position at the Athens University of Economics and Business (AUEB) within the Department of Management Science and Technology (DMST), School of Business. He earned a B.Sc. in Applied Mathematics from the National & Kapodistrian University of Athens (1991), M.Sc. from New York University's Courant Institute of Mathematical Sciences, and a Ph.D. from Columbia University. His research focuses on big data systems, business intelligence, query processing, and real-time data analysis, with contributions influencing commercial database systems like Microsoft SQL Server and Oracle. As Director of AUEB's Master’s program in Business Analytics and Big Data, he previously served as an Assistant Professor at Stevens Institute of Technology (1997–1999). His industry collaborations include co-founding Panakea Software and VoiceWeb SA, and consulting roles at Aster Data Systems (now Teradata). He leads big data projects for companies like Cosmote, Piraeus Bank, and HEDNO. His research has been published in top venues including VLDB, ICDE, and SIGMOD, emphasizing practical applications in large-scale analytics and OLAP systems. He advises on strategic partnerships for the MSc program and maintains an active role in academic administration, including steering committees and quality assurance initiatives.

• Building Information Modeling (BIM)
• Digital Twins
• Construction Management
• +۳ مورد دیگر

Eilif Hjelseth is a Professor at the Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), with a focus on Building Information Modeling (BIM), Digital Twins, and Construction Technology. His work spans digital transformation in the AECO industry, automated compliance checking, and sustainable construction practices. Role: Professor, Department of Civil and Environmental Engineering University: Norwegian University of Science and Technology (NTNU) Research: BIM, Digital Twins, Construction Automation, Sustainable Development, Semantic Modeling Outreach: Authored multiple textbooks and reports on VDC implementation and BIM standards His recent publications emphasize digital twin frameworks , semantic data integration , and automation in construction , particularly through cross-validation, knowledge graphs, and circular economy applications. While specific educational details or grants aren't mentioned, his work demonstrates extensive collaboration with researchers across Norway and Europe on digitalization challenges. Key trends in his 2024–2025 articles include cross-domain BIM integration , deep learning for component classification , and standardization of digital product passports . Earlier works (2012–2020) established foundational concepts in BIM model checking, lifecycle costing, and regulatory digitization.

• Artificial Intelligence
• Multi-Agent Systems
• Robotics
• +۴ مورد دیگر

Stefania Monica is an Associate Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. She specializes in Artificial Intelligence, Multi-Agent Systems, Robotics, and Programming Languages. Her research focuses on topics such as agent interaction protocols, indoor positioning algorithms, and agent-oriented programming (Jadescript). She teaches courses on Artificial Intelligence, Data Science, Web Technologies, and IoT. Recent work includes studies on stigmergic interactions in multi-agent systems and 3D indoor positioning using optimization algorithms. Her contributions span theoretical frameworks (e.g., kinetic models) and practical implementations (e.g., Jadescript language enhancements for robustness and interoperability). Research interests emphasize synergy between AI and robotics, with applications in localization, swarm intelligence, and neural-symbolic learning. Teaching responsibilities include managing engineering courses on data science, information systems, and IoT development. She actively contributes to academic conferences and journals, curating special issues on computational logic and agent-based systems.

Toqeer A Israrمشاهده پروفایل

دانشیار

• Software Engineering
• Distributed Systems
• Performance Analysis
• +۳ مورد دیگر

Toqeer A Israr is an Associate Professor and Coordinator of Computer and Information Technology at the School of Technology, Eastern Illinois University. His research focuses on Software Engineering, Distributed Systems, and Performance Analysis, with emphasis on modeling complex systems using paradigms like UML and analyzing their behavior and performance. He has developed methodologies for quantifying delays in black-box systems and improving web service usability. Education: PhD in Electrical and Computer Engineering (University of Ottawa, 2014), MASc in Electrical and Computer Engineering (Carleton University, 2005), and BEng in Computer Systems Engineering (Carleton University, 2002). Research interests include distributed system performance modeling, security analysis in UML models, and usability of smart home technologies. His work bridges theoretical modeling and practical applications in distributed computing and web services. Professional memberships include the Association for Computing Machinery (ACM), IEEE, and IEEE Communications Society. He has contributed to conferences such as the IAJC-ISAM International Conference and published widely on system performance and collaboration frameworks. He has advised at least one student and participated in robotics competitions, showcasing interdisciplinary collaboration.

Dirk Van Hertemمشاهده پروفایل

استاد

• Decision Support for Grid Operators
• Power System Operation and Control
• HVDC Grids
• +۴ مورد دیگر

Professor Dirk Van Hertem is a faculty member at KU Leuven, Belgium, where he leads the Energy Transmission Competence Hub (ETCH) within the ELECTA division. He earned his M.Eng. (2001) from KHK Geel, M.Sc. (2003) and PhD (2009) from KU Leuven, and held a postdoctoral position at KTH Royal Institute of Technology (2010). His research focuses on power system planning, operation, and control, particularly for future transmission systems involving HVDC grids, offshore energy infrastructure, and supergrid concepts. Key research areas include: HVDC grid protection Underground power systems Cost-effective resilient energy supply Renewable energy integration Hybrid AC/DC system optimization He co-edited the seminal book HVDC GRIDS: For Offshore and Supergrid of the Future with researchers from UPC Barcelona and Cardiff University. His team includes 12 postdoctoral researchers and 24 PhD students working on topics ranging from grid restoration algorithms to cable fault localization and digital twin applications. Scientific distinctions: Fellow of the IEEE (PES, IAS) Active member of Cigré Principal investigator in multiple EU-funded projects Teaching responsibilities include advanced power system courses co-taught with senior professors. Regular PhD and postdoc vacancies are available through KU Leuven's job portal and the ETCH website.

Robert Randمشاهده پروفایل

استادیار

• Quantum Computing
• Formal Verification
• Quantum Programming
• +۳ مورد دیگر

Robert Rand is an Assistant Professor of Computer Science at the University of Chicago, affiliated with the Programming Languages Research Group and the Chicago Quantum Exchange . His research bridges programming languages, formal verification, and quantum computation. Dr. Rand focuses on Quantum Computing , Formal Verification , and Quantum Programming . He develops tools like QWIRE for quantum circuit representation and VOQC for verified quantum compilers. Current work includes a textbook on verified quantum programming. His publications span quantum compiler verification, algebraic quantum languages, and formal methods in quantum computing. Recent projects involve error-correction, type systems, and quantum-classical interoperability through Qunity . Scientific Awards 2023 AFOSR Young Investigator Research Program Award France and Chicago Collaborating in the Sciences Award 2022 Keynote Speaker, Compiler Construction Distinguished paper awards: PLDI 2021, POPL 2019 Victor Basili Postdoctoral Fellowship (UMD) Dr. Rand actively collaborates on NSF-funded EPiQC (Enabling Practical-Scale Quantum Computing) and teaches advanced topics in quantum programming languages. He is currently working on a textbook on verified quantum programming and maintains active research groups in both Programming Languages and Quantum Computing.

Gavrilovska Liljanaمشاهده پروفایل

دانشیار

• Telecommunications
• Mobile Edge Computing (MEC)
• Blockchain Technology
• +۸ مورد دیگر

Liljana Gavrilovska is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of Ss. Cyril and Methodius University of Skopje (UKIM), specializing in the Department of Telecommunications. Her work focuses on advanced telecommunications systems, including 5G/Beyond 5G networks, mobile edge computing (MEC), blockchain applications in healthcare and IoT, cognitive radio networks, and network virtualization. She leads research groups addressing challenges in wireless resource management, energy efficiency, and distributed consensus mechanisms. Her research interests span telecommunications infrastructure , blockchain for healthcare systems , IoT optimization , and network slicing . Recent work includes developing the BloHeS consensus mechanism for blockchain systems and the Shapeshifter framework for MEC latency optimization. She also investigates dynamic spectrum allocation strategies and energy-efficient WuR-based IoT protocols. Publications emphasize practical implementations like the CHEST COPD e-Health platform and the FALCON project for virtualized network resource allocation. While no specific awards are listed, her contributions to open-source solutions like eWALL and SmartWine reflect industry engagement. Advising activities and grants are not explicitly detailed in the provided texts, though her involvement in EU projects like 5G-MEC and cognitive radio initiatives suggests significant collaborative work. Current projects include system design for blockchain-based public healthcare systems and analysis of heterogeneous network performance in LTE and DVB-T coexistence scenarios. She is actively involved in the FEIT Telecommunications Institute, contributing to both academic and applied research in telecommunications engineering.

• High-Performance Parallel and Distributed Computing
• Grid Computing
• Cloud Computing
• +۳ مورد دیگر

Rubén Santiago Montero is an Associate Professor at the Department of Computer Architecture and Systems Engineering, Universidad Complutense de Madrid (UCM). He leads research in distributed systems, focusing on resource provisioning in Grid, Cloud, and edge computing environments. His work emphasizes virtual machine management, cloud federation, and utility computing models. Montero co-leads the OpenNebula project, a widely adopted cloud management platform, and contributed to the GridWay metascheduler. Research interests include distributed resource management, virtualization, and interoperability between cloud infrastructures. He participates in major EU projects such as RESERVOIR, BEACON, and PANACEA, advancing cloud and grid technologies. His contributions span over 200 peer-reviewed publications in top journals and conferences, addressing topics like workflow scheduling, elastic resource allocation, and edge-cloud architectures. Education: PhD in Computer Science (UCM). Grants & Projects: Principal investigator in EU-funded initiatives (e.g., RESERVOIR, BEACON) totaling €20M+. Labs/Teams: Distributed Systems Architecture Group at UCM, collaborating with NASA, IBM, and European research networks.

Jennifer Clarkمشاهده پروفایل

استاد

• Urban Planning
• Regional Economics
• Economic Development
• +۴ مورد دیگر

Jennifer Clark is a Professor and Head of the City and Regional Planning Section at The Ohio State University’s Knowlton School of Architecture, part of the College of Engineering. Her expertise lies in urban and regional economic development, smart cities, and innovation policy. She holds a Ph.D. from Cornell University, an MPlan from the University of Minnesota, and a BA from Wesleyan University. Her research focuses on smart cities, regional resilience, and manufacturing industries. Major publications include *Uneven Innovation: The Work of Smart Cities* (2020), *Working Regions: Reconnecting Innovation and Production* (2013), and co-edited volumes like *Transitions in Regional Economic Development* (2018). She is a Fellow of the American Association of Geographers and Regional Studies Association, and Deputy Editor-in-Chief of *Regional Studies*. Clark teaches courses on economic development theory and policy analysis, and has advised governments and international organizations like the OECD. Her work bridges academic research and policy practice, emphasizing inclusive innovation and regional equity. She previously directed the Center for Urban Innovation at Georgia Tech and has testified before the U.S. Congress on smart communities policy.

Spyridon Georg Koustasمشاهده پروفایل

پژوهشگر

• Smart Product-Service Systems (sPSS)
• Digital Transformation
• Industrial IoT (IIoT)
• +۳ مورد دیگر

Spyridon Georg Koustas is a Researcher and Doctoral Student in the Department of Information Systems at the School of Business, Economics and Society, Friedrich-Alexander-Universität Erlangen-Nürnberg. His research focuses on developing industrial smart product-service systems (sPSS), digital transformation, and leveraging technologies like blockchain, Industry 4.0, and digital collaboration tools. Education: M.Sc. (specific field unspecified). Research Interests: Spyridon explores challenges in articulating value propositions for sPSS, integrating digital technologies (e.g., IIoT, blockchain), and enhancing collaboration through 3D tools and chatbots. His work emphasizes SME digitalization and resilience in value networks through competence pooling. Projects: Kicks4Edge : Empowers SMEs to adopt cloud-edge technologies via an 'Edge Playbook' for interoperability and use-case development. ResiKomp : Enhances value network resilience via digital competence pools for crisis scenarios. SmartHaPSSS : Harmonizes sPSS development in SMEs through sustainability-oriented methods. Advising & Grants: Active in third-party funded projects (e.g., BMBF, IPCEI-CIS) focusing on Industry 4.0, digital twins, and smart manufacturing. Labs/Teams: Part of the Chair of Information Systems I (Prof. Dr. Möslein), collaborating with the Institute for Factory Automation and Production Systems (FAPS).

Vladimir Mironovمشاهده پروفایل

پژوهشگر

• Semantic Web Technologies
• Systems Biology
• Bioinformatics
• +۳ مورد دیگر

Vladimir Mironov is a Senior Scientist at the Norwegian University of Science and Technology (NTNU), specializing in Semantic Web technologies and their application in systems biology and bioinformatics. His work focuses on knowledge graph integration, biological data modeling, and semantic network construction. Email: vladimir.mironov@ntnu.no Email: vladimir.n.moronov@gmail.com His research interests include: Development of Semantic Web tools for gene regulatory network analysis Ontology engineering for biological knowledge management Integration of chromosome location data with functional genomics Triple store evaluation for biological datasets Recent publications highlight his contributions to: Knowledge graph frameworks for gene regulation Network analysis tools in bioinformatics Ammonia-tolerant microbial communities in biotechnology Orthology prediction algorithms Semantic data modeling for biological datasets He has actively contributed to projects like DrugLogics and Crossover Research since 2008, developing semantic tools for biomedical research, including the Cytoscape BioGateway App and Cell Cycle Ontology (CCO).

Leonardo Bonatiمشاهده پروفایل

پژوهشگر

• Wireless Communications
• Telecommunications
• Network Security
• +۴ مورد دیگر

Leonardo Bonati is an Associate Research Scientist in the Department of Electrical and Computer Engineering at Northeastern University. He specializes in cutting-edge wireless communication systems, particularly focusing on Open RAN, 5G/6G networks, and AI-driven network intelligence. His work emphasizes automated testing, network slicing, and security in software-defined cellular systems. He leads and contributes to high-profile projects such as AutoRAN and DigiRAN, funded under the CHIPS and Science Act, which aim to enhance open and disaggregated cellular network testing and digital twin frameworks. His research also involves experimental platforms like Colosseum and OpenAirInterface for large-scale wireless emulation and real-world testing. Key research interests include: AI-based network control (via dApps/xApps), digital twins for network validation, zero-touch deployment, and security in O-RAN interfaces. He holds multiple patents on topics ranging from network slicing to private 5G connectivity through steganography. Notably, Bonati was recognized among the top 2% most-cited scientists globally in 2024 by Stanford University. He collaborates actively with industry and academia on next-generation cellular technologies, contributing to both theoretical advancements and practical implementations. His advising and grant activities include co-PI roles on major initiatives like AutoRAN (testing automation) and DigiRAN (high-fidelity digital twins), totaling over $4M in funding. Bonati’s work bridges academic research and industry-ready solutions through platforms like Colosseum and the Open RAN Gym.

• System-on-Chip (SoC) Design
• FPGA-Based High-Level Synthesis
• Real-Time Embedded Systems
• +۵ مورد دیگر

Timo Hämäläinen is a Professor of Computer Engineering at Tampere University, leading the Unit of Computing Sciences within the Faculty of Information Technology and Communication Sciences. He is a core member of the System-on-Chip research group and the Computer Engineering Team, actively contributing to the System-on-Chip Hub initiative. His research focuses on System-on-Chip (SoC) design methodologies, FPGA-based high-level synthesis, real-time embedded systems, and open-source hardware-software co-design frameworks like RISC-V and HEVC encoding. He has pioneered work on agile SoC development processes and validation techniques for large-scale hardware systems. Key research areas include: High-level synthesis (HLS) optimization for FPGAs Real-time processor architectures and context-switching latency reduction Formal verification of IP-XACT-compliant SoC designs Resilient RISC-V MPSoC implementations Hardware-accelerated algorithms for signal processing and networking His recent publications (2023-2025) emphasize agile SoC development frameworks, hardware-software co-design for real-time systems, and validation methodologies for large-scale embedded systems. He has contributed to open-source projects like Kvazaar HEVC encoder and the Kactus2 IP-XACT toolchain. Academic advising includes students such as Santéri Mäki-Äijö (formal verification), Arto Oinonen (RISC-V tooling), and Sakari Lahti (processor modeling). His work integrates academic research with industrial collaboration through frameworks like the Fault-slip-Through quality assessment methodology.