جست‌وجوی استاد و پژوهشگر

• Multimedia Systems
• Distributed Systems
• Decision Support Systems
• +۳ مورد دیگر

Anestis Georgios is a Laboratory Teaching Staff member (EDIP) at the Technical University of Crete (TUC), affiliated with the School of Electrical and Computer Engineering. He is part of the TUC/MUSIC Laboratory (Distributed Multimedia Information Systems and Applications) and holds a Master's degree in Computer Engineering and Operations Research, alongside a Diploma in Electronics and Computer Engineering from TUC. His professional roles include permanent staff in the Distributed Multimedia Information Systems and Applications Laboratory (2004–2015) and an associate partner at the Computer Technology Institute’s eGovernment Division (2003). Education: Master of Engineering in Computer Engineering, TUC (2001) – Thesis: 'Designing an Information System to Support Virtual Communities of Users' (supervisor: Prof. Stavros Christodoulakis) Master of Science in Operations Research, TUC (2001) – Thesis: 'Development of a decision support system for multicriteria evaluation of IT qualifications' (supervisor: Prof. Nikolaos Matsatsinis) Diploma in Electronics and Computer Engineering, TUC (1997) – Thesis: 'Design and Implementation of a Boolean and Similarity Retrieval System on top of Relational Database Management Systems' (supervisor: Prof. Stavros Christodoulakis) Research Interests: Anestis focuses on multimedia systems, distributed architectures, decision support systems, and knowledge management. His work integrates pervasive computing, service-oriented architectures (SOA), and peer-to-peer (P2P) technologies to address challenges in cultural tourism, digital business ecosystems, and educational technologies. He emphasizes user-centered design principles and the semantic interoperability of systems. Article Trends: His publications span topics such as retrieval systems (REALM, 2024), pervasive gaming (Rollick games, 2023), and cultural tourism interactions (2006–2018). Early work (1998–2004) centered on distributed knowledge management and decision support frameworks, while recent contributions explore formal languages for location-based applications and theatrical learning experiences. Professional Contributions: Anestis has led or participated in EU projects like 'Digital Business Ecosystems' (2003–2006) and 'Caravan Next: Feed the Future' (2015–2019). He has developed platforms like the Skills Evaluator (2003–2006) for IT qualification assessment and SSLE for semantic service descriptions (2007). No awards are explicitly listed, but his projects reflect significant industry and academic impact. Labs/Teams: He contributes to the TUC/MUSIC lab, focusing on distributed multimedia systems and applications. His work bridges theoretical research with practical implementations in cultural heritage, smart tourism, and enterprise systems.

• Artificial Intelligence
• Natural Language Processing
• Blockchain Technology
• +۲ مورد دیگر

Dr. Luca Mazzola is a Lecturer at Lucerne School of Computer Science and Information Technology (HSLU-I) and senior research associate in the Information Systems Research Lab. With a PhD in Technologies for Human Communication (USI, 2014) and MSc in Computer Engineering (Politecnico di Milano, 2004), his research spans artificial intelligence, natural language processing, blockchain applications, and machine learning in distributed systems. Mazzola leads multiple research projects including PrivacyGLUE (privacy policy analysis), blockchain-based healthcare management systems, and personalized event matching frameworks. His recent publications focus on NLP applications for privacy compliance, federated learning architectures, and explainable AI for concept recognition. Mazzola teaches courses in Data Science Fundamentals and Natural Language Processing, emphasizing practical applications of ML and AI technologies. Research collaborations include bilateral projects with South Africa's SARCHi NRF and EU Blockchain Observatory. His technical innovations include developing P2P data marketplaces, blockchain authentication systems, and educational recommendation engines using knowledge graphs.

• Multi-Agent Systems
• Human-Robot Interaction
• Game Theory
• +۷ مورد دیگر

Katia Sycara is a Research Professor at Carnegie Mellon University's Robotics Institute, part of the School of Computer Science. She also holds the Sixth Century Chair (part-time) in Computing Science at the University of Aberdeen, UK. Her research focuses on multi-agent systems, human-robot interaction, game theory, and adversarial reasoning. She leads the Advanced Agent-Robotics Technology Lab and has developed frameworks like the RETSINA multiagent infrastructure. Education: B.S. in Applied Mathematics (Brown University), M.S. Electrical Engineering (University of Wisconsin), Ph.D. Computer Science (Georgia Tech), Honorary Doctorate (University of the Aegean, 2004). Research interests include semantic web services, agent interoperability, crisis response systems, and negotiation support. She has pioneered work on the DAML-S language for semantic web services and contributed to the OASIS UDDI standard. Notable awards include the 2002 ACM SIGART Agents Research Award and AAAI Fellowship. She has led multimillion-dollar projects funded by DARPA, NASA, AFOSR, and ONR, focusing on applications like autonomous robotics, urban search and rescue, and enterprise integration. Awards: ACM SIGART Autonomous Agents Research Award (2002) AAAI Fellow (2002) IEEE Fellow (2013) Outstanding Alumnus (University of Wisconsin, 2005) Grants and Projects: Command and Control of Multi-Robot Teams (ONR) Games on Graphs (MURI/ONR) Urban Search and Rescue (NASA) Labs/Teams: Director of Advanced Agent-Robotics Technology Lab and contributor to the Semantic Web Science Association.

Ding Chenمشاهده پروفایل

مدرس ارشد

• Law and Development
• Corporate Governance
• Company Law
• +۳ مورد دیگر

Dr. Ding Chen is a Senior Lecturer in Corporate and Commercial Law at the School of Law, University of Sheffield. He holds a PhD from the University of Manchester, an LLM from the University of Sheffield, and additional LLM and LLB degrees from Renmin University and Zhengzhou University respectively. His work bridges legal and economic frameworks, focusing on institutional changes and their impact on financial systems in China. Research interests include: Law and Development Corporate Governance Company Law Financial Regulation New Institutional Economics He has presented at major international conferences such as SIOE and SOAS, addressing topics like Fintech in China and SOEs reform challenges. Grants from the ESRC support his projects on informal finance in China and institutional changes in legal systems. He is a member of the Sheffield Institute of Corporate and Commercial Law, with external examiner roles at SOAS and Aberdeen Law School. Teaching emphasizes critical thinking and independent analysis in corporate law and governance courses.

Shahab Shariat Torbaghanمشاهده پروفایل

استادیار

• Sustainable Energy
• Operations Research
• Optimization
• +۶ مورد دیگر

Dr. Shahab Shariat Torbaghan is a tenure-track Assistant Professor of Smart Grids in Urban Energy and Water Systems at Wageningen University & Research. His expertise spans mathematical models, operations research, decision support systems, optimization, stochastic processes, sustainable energy, green infrastructure, machine learning, and energy transition. He holds a B.Sc. in Electrical Engineering from the University of Tehran (2008), an M.Sc. from Chalmers University of Technology (2010), and a Ph.D. from Delft University of Technology (2015). He previously worked as a Postdoctoral Fellow at Eindhoven University of Technology (2015–2017) and as a Research Scientist at VITO/EnergyVille in Belgium (2017–2020). His research focuses on applying sequential decision-making under uncertainty to water and energy infrastructure modeling and optimization, leveraging convex optimization, combinatorial optimization, and machine learning (deep learning, reinforcement learning). He collaborates with the City of Amsterdam, AMS Institute, water companies, and academic partners like HZ University of Applied Sciences and Utrecht University. He participates in European H2020 projects such as Magnitude, FHP, and Coordinate. Dr. Torbaghan teaches courses including 'Sustainability Transitions,' 'Data-Driven Environmental Modelling and Optimization,' and 'Managing Urban Environmental Infrastructure.' His work intersects urban infrastructure transitions, energy storage arbitrage, hydrogen production, and market-based mechanisms for flexibility provision. He is a Senior Member of IEEE and part of INFORMS and the GO-P2P community.

• Blockchain Technology
• Distributed Systems
• Coordination Middleware
• +۴ مورد دیگر

Eva Kühn is an Associate Professor at TU Wien's Faculty of Informatics, specializing in Coordination Systems and Space-Based Computing. She leads the Compilers and Languages department and focuses on Blockchain Technology, Distributed Systems, and Swarm Intelligence. Roles & Affiliations: Associate Professor, TU Wien Research Lead in Coordination Middleware Principal Investigator in projects like ITSM-PEER and Formal Verification of DNNs Research Interests: Blockchain-based systems for decentralized applications Swarm intelligence algorithms for P2P networks Space-based computing architectures for distributed systems Coordination patterns for multi-cloud auto-scaling Projects & Grants: "Formal Verification of Deep Neural Networks" (2024-2027, OeAD) "ITSM-PEER" (2014-2015, FFG) "LOPONODE Middleware" (2012-2014, FFG) Students & Supervision: Advised over 30 students in areas like blockchain frameworks, swarm algorithms, and distributed systems. Labs & Teams: Leads the Peer Model research group developing coordination middleware and space-based computing frameworks.

• Dataset Retrieval
• Linked Data
• Decentralised Technologies
• +۴ مورد دیگر

Dr. Luis-Daniel Ibáñez is a Lecturer in Computer Science at the University of Southampton, where he leads research in dataset retrieval, linked data, and decentralized technologies. He is affiliated with the Web and Internet Science team and the Centre for Machine Intelligence. Prior to his academic role, he worked as a Research Fellow (2015–2020) and holds a PhD from the University of Nantes, France, focusing on distributed data management. His teaching includes courses on Data Science, Data Visualization, and Data Analysis. Education: PhD in Computer Science, University of Nantes, France (Distributed Data Management Team) Computer Engineering Diploma, Universidad Simón Bolívar, Venezuela Research Interests: Focuses on scalable data systems, including decentralized knowledge graphs, data marketplaces, and provenance management. His work integrates AI techniques like LLMs for automated provenance inference and explores privacy-preserving mechanisms in data sharing. Current projects include UPCAST (Universal Platform Components for Safe Data Exchange). Advising & Grants: Supervises 5 PhD students and contributes to projects funded by research councils. His team collaborates on modular data marketplace architectures and game-theoretic approaches to data monetization. Labs/Teams: Active in the Web and Internet Science group and the Centre for Machine Intelligence at the University of Southampton.

• Power Systems
• Renewable Energy Integration
• Smart Grids
• +۳ مورد دیگر

Dr. Kazi Hasan is a Senior Lecturer in the School of Engineering at RMIT University, specializing in Electrical Power and Energy Systems Engineering. He is the lead for the Transport Electrification theme within Energy@RMIT and serves as Vice Chair of IEEE PES Victorian Chapter. His research focuses on integrating renewable energy, EVs, and smart grid technologies into power systems, emphasizing system dynamics, reliability, and economy. Dr. Hasan holds a Postdoctoral Research Associate position from the University of Manchester (2014–2018) and was involved in the EU-funded CROSSBOW project. He has extensive teaching experience, designing and delivering courses like Smart Grids at both undergraduate and postgraduate levels since 2022. His work spans over 90+ journal/conference papers and 40+ international presentations. Research interests include power system dynamics, renewable energy integration, EV infrastructure, and probabilistic stability analysis. He collaborates with industry partners and has supervised numerous research topics in energy systems and grid modernization. Key Projects: Transport Electrification, Optimal DER Placement, EV Charging Infrastructure. Affiliations: Senior Member of IEEE, IEEE PES Victorian Chapter Vice Chair.

Cecilie Højvang Paulsenمشاهده پروفایل

استادیار

• Crowdfunding Regulation
• Alternative Finance
• Financial Law
• +۳ مورد دیگر

Cecilie Højvang Paulsen is an Assistant Professor at the Department of Law, Aalborg University, affiliated with The Faculty of Social Sciences and Humanities. Her research focuses on the legal aspects of alternative finance, particularly investment-based crowdfunding and the regulatory challenges arising from the European Crowdfunding Service Providers Regulation (ECSPR). She holds a PhD from Aalborg University (2024), a Cand.jur. (2019), and a BA.jur. (2017). Education: PhD in Law (2021–2024), Cand.jur. in Contract Law (2017–2019), BA.jur. (2014–2017) Her research interests include crowdfunding regulation, financial innovation, and legal frameworks for alternative finance. She has contributed to the first Danish-Nordic critical analysis of ECSPR and has conducted a visiting scholarship at the University of Agder’s Crowdfunding Research Center (2021). Key research trends in her publications emphasize Nordic crowdfunding regulations, ECSPR compliance, and legal challenges in equity crowdfunding. She has also participated in legislative consultations and organized international conferences on alternative finance. Grants: Led the PhD project Investment-based Crowdfunding in Denmark – A Critical Analysis (2021–2024) She is affiliated with research groups such as the Public Law Research Group, Civil Law Group, CLEAR Tax Research Group, and Green Societies. Her work contributes to UN Sustainable Development Goal 8 (Decent Work and Economic Growth) through promoting inclusive financial systems.

Christof Wolfمشاهده پروفایل

استاد

• Social Inequality
• Social Change
• Health
• +۴ مورد دیگر

Prof. Dr. Christof Wolf holds the Chair of Social Structural Analysis at the University of Mannheim's Faculty of Social Sciences. His research focuses on social inequality, health, social networks, and religion, approached through a structural lens. He collaborates with the Mannheim Centre for European Social Research (MZES) and GESIS – Leibniz Institute for the Social Sciences. His work emphasizes methodological advancements in data collection and analysis, particularly in open science frameworks. Research interests span interdisciplinary topics including the interplay between social structures and individual well-being, quantitative methodologies, and the application of computational tools to sociological inquiry. His team explores innovative approaches to social science research, leveraging advanced data analysis techniques. Publications highlight expertise in multimedia systems, adaptive streaming, and serious games for educational and therapeutic purposes. Collaborations with technical institutions reflect a commitment to bridging social science and computational research. He actively contributes to teaching, developing interactive learning scenarios and leveraging mobile technologies for classroom engagement.

Neeraj Suriمشاهده پروفایل

استاد

• Cybersecurity
• Cloud Computing
• Dependable Systems
• +۴ مورد دیگر

Professor Neeraj Suri is the Distinguished Professor & Chair in Cybersecurity at Lancaster University (UK and Germany) and an Adjunct Professor at the Department of Computer Science, University of Massachusetts Amherst . He co-directed Lancaster's university-wide Security Institute (2019-2024) and previously held the Chair in Dependable Systems & Software at TU Darmstadt . PhD from University of Massachusetts Amherst Positions at AlliedSignal/Honeywell Research, Boston University, Saab Endowed Chair, Microsoft Research (multiple sabbaticals), and visiting roles at University of Texas Austin, Academia Sinica, PolyU Hong Kong, and Technion Research Areas: Trustworthy cloud systems, data-centric cybersecurity, and security quantification. His work focuses on security-by-design principles, adversarial machine learning, and resilient autonomous systems. Selected Research Grants: EPSRC Programme Grant SCULI, H2020 CONCORDIA, EPSRC National Hub on Edge AI, and funding from NSF, DARPA, Microsoft, Google, and other leading institutions. Scientific Awards: NSF CAREER Award Microsoft Faculty Award IBM Faculty Award Professional Leadership: Associate EIC for IEEE Transactions on Dependable & Secure Computing, PC-Chair for DSN, ICDCS, SRDS, HASE conferences, and member of IFIP WG 10.4 on Fault Tolerance.

• Civil Law
• Intellectual Property Law
• IT Law
• +۳ مورد دیگر

Prof. Dr. Eichelberger holds the Chair of Civil Law, Intellectual Property Law, and IT Law at Leibniz University Hannover, affiliated with the Institute for Legal Informatics (IRI). His academic rank is Professor, and he is actively contributing to legal research in digitalization, liability frameworks, and intellectual property. Research Interests: Civil Law modernization with digital applications Legal challenges of AI and IT systems Cross-border intellectual property enforcement Liability in emerging technologies Recent Research Trends: Focuses on harmonizing traditional legal principles with digital realities, particularly in copyright (streaming, temporary copies) and trademark law (online advertising, keyword usage). His work often addresses EU jurisprudence and German case law interpretations. Grants & Labs: Active in the IRI's interdisciplinary projects on legal informatics. No specific grants listed, but participates in EU-related research initiatives.

Samuli Aaltoمشاهده پروفایل

استاد مهمان

• Communication Engineering
• Queueing Theory
• Energy-Aware Systems
• +۲ مورد دیگر

Samuli Aalto is a Visiting Professor at the Department of Information and Communications Engineering, Aalto University School of Electrical Engineering. His research focuses on Communication Engineering , particularly in Queueing Theory , Stochastic Scheduling , and Energy-Aware Systems . He has contributed extensively to optimizing resource allocation in wireless networks and server farms. Academic Affiliation : Aalto University, School of Electrical Engineering Research Themes : Optimal scheduling in queueing systems, energy-efficient network management, and stochastic resource allocation Recent Publications highlight work in: Whittle index applications for multi-class queueing systems Energy-aware dispatching in heterogeneous networks Slowdown minimization in single-server queues Age-energy tradeoff models for wireless systems His research involves mathematical modeling of Markovian systems , processor sharing , and size-based scheduling . Projects include optimizing P2P video-on-demand systems, analyzing queue-specific job sizes , and developing energy-performance tradeoff frameworks for modern data centers and 5G networks.

• Database Systems
• Distributed Query Optimization
• Data Warehousing
• +۷ مورد دیگر

Akira Kawaguchi is a Professor and Chair of the Department of Computer Science at The City College of New York (CCNY), part of the Grove School of Engineering. He holds a Ph.D. in Computer Science from Columbia University and has been a faculty member since 1997. His research focuses on database systems, distributed computing, wireless biometric systems, and maritime navigation technologies. He leads interdisciplinary projects involving civil engineering, biology, and public health. Current roles: Department Chair since 2013, Director of the Master's in Information Systems (MIS) program (2009–2013). Notable collaborations: Kyushu Institute of Technology (Japan), NASA, and industry partners like Google and Bayer. Key achievements: Developed systems like HyperD (distributed database), PADMA (genetic database), and WBgM (wireless health monitoring). Research interests include: Database Systems: Query optimization, distributed databases, and materialized views maintenance. Maritime Engineering: Ship cluster behavior modeling and navigation support systems. Health Informatics: Wireless medical data systems compliant with HIPAA regulations. Network Security: Resilient edge computing architectures. Recipient of prestigious awards including the NYC Tech Innovator (2019) and multiple CUNY recognitions. His work has been funded by NSF, NASA, and industry grants. Advising includes leading doctoral students in distributed systems and database optimization. Key grants include a $1M NSF award for 5G/6G research and a NASA SBIR grant for aerospace safety systems. Labs/teams: Active in interdisciplinary projects with civil engineering (asset management), biology (genetic databases), and partnerships with Japanese institutions for 6G communication systems.

Javed I. Khanمشاهده پروفایل

استاد

• Computer Networking
• Cyber Infrastructure
• Active and Programmable Networking
• +۱۴ مورد دیگر

Javed I. Khan is a Professor and Chair of the Department of Computer Science at Kent State University . He leads cutting-edge research in networking, cyber infrastructure, and perceptual systems, with funding from DARPA, NSF, NASA, AFRL, and the World Bank. He is the director of the Media Communications and Networking Research Laboratory (MEDIANET) and actively contributes to international education networks. Ph.D., University of Hawaii at Manoa B.Sc., Bangladesh University of Engineering and Technology (BUET) His research spans active and programmable networking , peer-to-peer systems , semantic design , multimedia communication , and medical imaging . He has pioneered work in holographic associative memory and complex system visualization . His interdisciplinary work integrates computer science with human-centered design and global development. The recent publications reflect a strong trend in decentralized systems , next-generation architectures , and intelligent networking . Themes include P2P computing, dynamic routing, content-based search, and perceptual engineering, indicating a forward-looking research vision in network evolution and human-machine symbiosis. Fulbright Senior Specialist on High Performance Education Networking Open Grants Fellow, East West Center, Hawaii Dr. Khan has advised national and international bodies including the World Bank on research and education networks (RENs) for sustainable development. His lab has secured grants from DARPA , NSF , NASA , and AFRL , supporting innovative projects in space communication, multisensory fusion, and digital library systems. He leads the MEDIANET Lab , which houses the Internet Teaching Lab (ITL) and Student Research Portal . The lab fosters collaboration through the MEDIANET Collaboration Server and supports projects in active networking, P2P computing, and perceptual media.