جستجوی استاد راهنمای دانشگاهی

• Wireless Communication
• 6G Networks
• 5G Networks
• +۶ مورد دیگر

A. Asadi is an Assistant Professor at the Faculty of Electrical Engineering, Mathematics and Computer Science at TU Delft. He leads the Wireless Communication and Sensing (WISE) Lab within the Embedded Systems Group, focusing on the integration of wireless communication and sensing systems for Beyond-5G and 6G networks. His research leverages machine learning to develop practical solutions for next-generation wireless networks, with strong industrial collaborations from companies such as Nokia, NEC, and National Instruments. Research Themes : Wireless Sensing, 6G Networks, Physical Layer Security, Reconfigurable Intelligent Surfaces (RIS), mmWave Communication Key Collaborations : Industry partnerships with Nokia, National Instruments, and NEC Recent research outputs highlight his work on Reconfigurable Intelligent Surfaces (RIS) for 6G systems, including liquid crystal-based designs for fast beam switching and temperature compensation. His publications emphasize practical implementations in mmWave communication, security protocols, and experimental validation. Scientific Awards : Athene Young Investigator Prize (2017) Educational Fellowship (2025) Asadi contributes to the academic community through committee roles at major conferences like IEEE INFOCOM , IEEE ICNP , and ACM CoNEXT , and his work on D2D communication has been cited as an ESI highly cited paper.

Adriana Iamnitchiمشاهده پروفایل

استاد

• Computational Social Science
• Social Media Analysis
• Misinformation Detection
• +۳ مورد دیگر

Adriana Iamnitchi is a Full Professor and Key Domain Chair for Computational Science at Maastricht University's Faculty of Science and Engineering, affiliated with the Department of Advanced Computing Sciences. Her research focuses on computational social science, social media dynamics, and misinformation detection. Her primary research interests include: Analysis of coordinated information campaigns across social platforms Development of LLM-based synthetic data generation for social media research Polarization quantification in multi-community networks Policy compliance frameworks for digital regulation (e.g., EU's Digital Services Act) Ethical AI applications for content moderation and transparency Her recent publications (2023-2025) demonstrate strong focus on: Cross-platform disinformation detection using multimodal embeddings Generative AI for synthetic social media datasets Quantitative analysis of toxicity monetization in creator economies Regulatory compliance automation for content transparency

Tiziano De Matteisمشاهده پروفایل

استادیار

• Parallel and Distributed Computing
• High-Performance Computing
• Energy Efficiency in Computing
• +۴ مورد دیگر

Tiziano De Matteis is an Assistant Professor in the @Large Research group at Vrije Universiteit Amsterdam's Faculty of Science, Department of Computer Systems. He also holds an affiliation with the Network Institute. His research focuses on overcoming post-Moore architecture challenges through parallel and distributed computing, high-performance systems, energy efficiency, and FPGA applications. Previously, he was a PostDoc at ETH Zurich's SPCL Group and earned his MSc/PhD from the University of Pisa. Education PhD in Computer Science, University of Pisa MSc in Computer Science, University of Pisa Research Interests Post-Moore architectures for distributed ecosystems Energy-aware parallel computing High-level abstractions for parallel software development FPGA-based hardware acceleration Data stream processing and distributed systems Recent Research Trends Recent work emphasizes: Data center risk analysis and sustainability Optimizing microservices and distributed scheduling LLM model offloading to NVMe storage Python-based data-centric programming productivity GPU interconnect performance in supercomputing Grants & Projects Participates in the EU-funded 'Extreme and Sustainable Graph Processing' project (2023-2025), exploring scalable graph algorithms and energy-efficient computing systems. Teaching Accelerator-Centric Computing Ecosystems Computer Organization Distributed Systems Systems Seminar

• Edge Computing
• Non-Orthogonal Multiple Access
• Energy Efficiency
• +۷ مورد دیگر

Suzan Bayhan is an Associate Professor in the Design and Analysis of Communication Systems group and a member of the Digital Society Institute . Her research focuses on energy-efficient wireless networks, edge computing, and sustainable computing infrastructures. She has contributed to advancing technologies like Non-Orthogonal Multiple Access (NOMA), cellular network optimization, and federated learning in smart homes. Her work bridges theoretical advancements with practical applications, addressing challenges such as energy consumption in edge servers, security of critical infrastructure networks, and cross-technology communication between LTE-U and WiFi. Bayhan has received prestigious awards including the Best Demo Award at IEEE INFOCOM 2020 and Joint Best Paper Award at IEEE WoWMoM 2020 . Her research spans topics like network resilience, spectrum sensing, and distributed computing systems. She actively participates in academic activities, including organizing workshops like the 8th Networking Networking Women Workshop (N2Women 2019) and delivering invited talks on wireless network resilience. Key Research Themes: Edge Computing, Energy Efficiency, 5G/6G Networks, IoT Analytics Notable Contributions: LESS-ON energy-saving framework, MintEDGE simulator, and sustainable computing continuum proposals Collaborations: Cross-continental research partnerships in wireless systems and environmental computing

Hanna Schraffenbergerمشاهده پروفایل

استادیار

• Human Factors in Security
• Privacy
• Mobile Networks
• +۴ مورد دیگر

Hanna Schraffenberger is an Assistant Professor in the Digital Security group at Radboud University, focusing on human factors in security and privacy. Her work explores how users interact with emerging technologies like open 5G networks, encryption tools, and online interfaces. She supervises student projects addressing themes such as anonymity in 5G, provider motivations in open networks, and dark pattern effects on user behavior. Her research bridges technical and human aspects of security, emphasizing usability challenges in privacy tools and ethical design principles. Notable areas include analyzing user assumptions about mobile network security, mitigating deceptive interface patterns, and improving encryption accessibility. She collaborates with Katharina Kohls on projects studying provider dynamics in open networks and user decision-making processes. Her academic contributions span over 25 peer-reviewed articles, covering topics from dark pattern taxonomy to AI ethics and medical decision support systems. Despite no awards listed, her work consistently addresses real-world usability and ethical concerns in digital systems.

• Cognitive Psychology
• Behavioral Science
• Emotion-Cognition Interactions
• +۳ مورد دیگر

Dr. Bruno Bocanegra is an Assistant Professor in the Methods & Skills department at the Erasmus School of Social and Behavioral Sciences, Erasmus University Rotterdam. His research focuses on cognitive processes, emotion-cognition interactions, language processing, and experimental methodologies. He has contributed to understanding how emotional cues modulate visual and temporal perception, behavioral interventions in secure residential care, and parental influences on moral development through lying behaviors. His work bridges theoretical linguistics, neuroscience, and applied psychology. His research interests include the semantics-syntax interface, hierarchical structure learning in language, and the application of artificial grammar learning paradigms. He has developed innovative tools like the QRTEngine for online reaction-time experiments, emphasizing replicable psychological science. His studies often explore trade-offs between spatial and temporal perceptual abilities under emotional contexts. Dr. Bocanegra has been involved in teaching activities and has received academic recognition (1 award noted). His work spans collaborative projects across behavioral science, neuroscience, and educational psychology, aiming to advance both theoretical frameworks and practical interventions in clinical and developmental contexts.

• Energy-Efficient Computing
• High-Performance Computing
• Compiler Techniques
• +۴ مورد دیگر

Kanishkan Vadivel is a Researcher in the Electronic Systems group at Eindhoven University of Technology (TU/e), specializing in energy-efficient hardware architectures and compiler-based code-generation techniques. He holds a Master’s degree in Embedded Systems from TU/e (2017) and a Bachelor’s from Coimbatore Institute of Technology (India). Prior to academia, he worked in embedded systems at Tata Engineering and Arm Ltd. Research Interests : His work focuses on computation-in-memory architectures using resistive devices, optimal code generation for CGRA (Coarse-Grained Reconfigurable Architecture), and high-performance computing. Key projects include the MNEMOSENE initiative and development of the CIM-SIM simulator for computation-in-memory systems. Awards : HiPEAC collaboration grant (2019) Advising & Grants : His research is supported by grants focused on neuromorphic processors and edge-AI hardware. He collaborates on projects like NEUROKIT2E for embedded deep learning systems. Labs/Teams : Active member of TU/e’s Electronic Systems Center and Efficient Stream Processing Lab, contributing to neuromorphic and energy-efficient computing initiatives.

Oumayma Bouchmalمشاهده پروفایل

پژوهشگر ارشد

• Quantum Computing
• Communication Networks
• Network Optimization
• +۷ مورد دیگر

Oumayma Bouchmal is a Research Fellow in the Department of Electrical Engineering at Eindhoven University of Technology , Netherlands. Her research focuses on integrating Quantum Computing with Optical Networks and 6G Communication Systems to optimize routing and spectrum assignment. Her key research areas include: Quantum Algorithms for Network Optimization Machine Learning in Communication Systems Photonic Systems and Terahertz Technologies Next-Generation Network Design Recent publications analyze quantum computing applications in 6G Optical Networks , Flexi-Grid Networks , and Trustworthy AI for edge computing. She collaborates on projects like SMARTY (2024–2027) and IOTalentum (2020–2025), focusing on quantum cryptography, computation offloading, and AI integration. Email: o.bouchmal@tue.nl

• Cloud Computing
• Edge Computing
• Reinforcement Learning
• +۳ مورد دیگر

Hongyun Liu is a researcher involved in the HiCONNECTS project (2023-2025), focusing on heterogeneous integration for connectivity and sustainability. His research interests span cloud computing, edge computing, reinforcement learning, IoT data analysis, performance anomaly detection, and workflow offloading. Recent work emphasizes robust frameworks for cloud applications, meta-learning in scheduling, and anomaly detection using ensemble learning and GAN-based models. His publications address time-critical systems, edge-cloud continuum optimization, and statistical modeling of cloud resource performance. Liu contributes to projects like HiCONNECTS as a core member, exploring sustainable and efficient resource management strategies. No awards or grants are explicitly listed in the provided information.

• Communication Systems
• Network Optimization
• Wireless Networks
• +۳ مورد دیگر

Hans van den Berg is a Full Professor at the Design and Analysis of Communication Systems and Digital Society Institute , focusing on advanced communication network design and optimization. His work bridges theoretical modeling with practical applications in wireless systems and edge computing. Active research in drone-based communication infrastructure Expertise in QoS management and cross-layer network design Key contributor to 5G and cellular network optimization Research Trends : Recent publications emphasize drone-mounted base stations for emergency scenarios (2024), 5G network scheduling (2023), and edge computing architectures (2022). Work often combines cellular network optimization with data-driven positioning and real-time resource allocation . Scientific Awards : Best Paper Award (2008) Best Paper Award (2011) Professional Contributions : Presented at major conferences on topics including QoS control in IP networks (2001), CDMA interference analysis (2003), and bandwidth provisioning (2003).

• Digital Humanities
• Media Studies
• Memory Studies
• +۴ مورد دیگر

Dr. P.H. Smit is a Senior Lecturer in Media Studies at the Faculty of Arts, University of Groningen. His research explores intersections between digital technologies, memory practices, and sociotechnical imaginaries. Current research focuses on platformization of memory, algorithmic remembering, and digital activism Teaches courses on Media Platforms, Digital Culture, and Technology & Creative Destruction Key publication themes include: Critical analysis of AI discourses Digital memory infrastructure studies Early web entrepreneurship practices Transformative media imaginaries Contact: p.h.smit@rug.nl

Bruno Cimoliمشاهده پروفایل

پژوهشگر

• Quantum Cryptography
• Edge Computing
• Telecommunications Systems
• +۳ مورد دیگر

Bruno Cimoli is a postdoctoral researcher at Eindhoven University of Technology (TU/e) in the Electrical Engineering department. His expertise spans quantum cryptography, edge computing, and optical communication systems, contributing to UN Sustainable Development Goals through innovative research in secure connectivity and network optimization. Education: Holds an MSc and a PhD in Electrical Engineering (exact institutions not specified). Research Interests: Dr. Cimoli's work focuses on advancing quantum-resistant communication systems, optimizing edge computing infrastructures, and developing energy-efficient thermal solutions for data centers. He explores the integration of quantum computing into network design, particularly in routing and spectrum assignment for optical networks, aiming to enhance security and scalability in next-generation telecommunications. Projects & Grants: Active in projects like SMARTY (Quantum Resilient Edge Computing), HICONNECTS (Heterogeneous Integration), and BRAINE (AI at Network Edge). These collaborations emphasize secure computation offloading, quantum key distribution (QKD), and energy-efficient edge data center architectures. Teaching: Teaches courses such as 'Quantum Communications' and 'Telecommunications Systems' since 2013, reflecting his dual role in research and education.

Panagiotis Giannakopoulosمشاهده پروفایل

پژوهشگر

• Computer Science
• Artificial Intelligence
• Edge Computing
• +۸ مورد دیگر

Panagiotis Giannakopoulos is an active researcher in Computer Science , with a focus on Artificial Intelligence , Edge Computing , and Networking . His work addresses critical challenges in Performance Variability Correlation , Resource Telemetry , and 6G Network Security across international projects. Key research areas: Artificial Intelligence , Edge Computing , 6G Networking , Quantum Machine Learning , Task Offloading , Performance Capture . Projects: HiCONNECTS (2023–2026) and ADAPTOR (2021–2028), focusing on connectivity, sustainability, and resource optimization. Recent publications analyze performance variability correlation , resource telemetry , and quantum-AI integration in networks . Collaborators include Exarchakos, G., Calabretta, N., and Joshi, K.C.

• Edge Fog and Cloud Computing
• Computational Offloading
• Network Resource Allocation
• +۹ مورد دیگر

Dr. Marios Avgeris is an Assistant Professor at the Informatics Institute, University of Amsterdam, affiliated with the Multiscale Networked Systems (MNS) group. His research focuses on next-generation network orchestration using machine learning and control theory to develop self-adaptive architectures for 5G/6G networks, edge robotics, and IoT systems. He collaborates with industry partners including Ericsson and holds a PhD from the National Technical University of Athens. Education: PhD in Electrical and Computer Engineering, National Technical University of Athens (2021) Diploma in Electrical and Computer Engineering, National Technical University of Athens (2016) Research Interests: Marios develops intelligent frameworks for network optimization, leveraging reinforcement learning and control theory. His work enables semantic communication, digital twinning, and zero-touch service management in edge-cloud environments. Key innovations include adaptive resource allocation, NFV placement, and energy-aware task offloading for distributed systems. Publications Focus: Recent works emphasize AI-driven network management, with articles on federated learning for edge computing, satellite network optimization, and green communications. His publications consistently integrate theoretical rigor with practical applications in telecommunications infrastructure. Awards: CU-PSAC Postdoctoral Fellow Research Award Affiliations: Leads research in the MNS Lab. Previously worked at NETMODE Lab (NTUA), Carleton University, École de Technologie Supérieure (ÉTS), and Ericsson Canada.

Rik Smitمشاهده پروفایل

پژوهشگر

• Digital Humanities
• Media Studies
• Discourse Analysis
• +۳ مورد دیگر

Rik Smit is a Researcher at the Faculty of Arts , affiliated with the Research Centre for Media and Journalism Studies (CMJS) . His work bridges Digital Humanities , Media Studies , and Discourse Analysis , focusing on how Artificial Intelligence and algorithmic memory technologies shape societal narratives and individual memory practices. Key research themes : Interdisciplinary analysis of AI in journalistic discourse Memory as a digital and sociotechnical practice Platformization of cultural and entrepreneurial activities His publications address cross-cultural discourses on AI, algorithmic memory , and early web entrepreneurship , reflecting collaborations across institutions in the Netherlands, Brazil, and the US. Activities include academic presentations at international conferences and contributions to datasets like the Devising DigiD project.