جستجوی استاد راهنمای دانشگاهی

Marko Beko is a researcher affiliated with Lusofona University in Lisbon, Portugal. He is actively involved in projects related to wireless sensor networks, localization algorithms, and machine learning applications in telecommunications. His work spans areas such as GNSS-denied navigation, federated learning, and IoT network optimization. Research Interests Localization in wireless networks Machine learning for IoT UAV navigation systems Signal processing and network optimization Stochastic geometry in massive IoT Energy-efficient communication protocols Recent publications focus on deep learning methods for unmanned aerial vehicle (UAV) navigation, linear precoding for MIMO systems, and federated learning in rural environmental monitoring. His work demonstrates strong interdisciplinary connections between computer science, telecommunications, and aerospace engineering.

• Computer Science
• Wireless Sensor Networks
• Localization
• +۳ مورد دیگر

Paul Andrew Crocker is Assistant Professor at the University of Beira Interior's Faculty of Engineering, where he researches computer security, blockchain technology, and high-performance computing applications. He teaches courses on distributed systems, operating systems, and information security. Crocker leads projects involving GNSS data processing for the European Plate Observing System and develops privacy-preserving blockchain solutions. He has supervised multiple graduate students in computer security and machine learning applications for geophysical data analysis.

• Computer Security
• Blockchain Technology
• GNSS Data Processing
• +۱ مورد دیگر

João Pedro Leal Abalada de Matos Carvalho is an Assistant Professor at Lusófona University , Lisbon, specializing in Aerial Robotics and Deep Learning . He holds an MSc (2017) and PhD (2021) in Electrical and Computer Engineering from FCT/UNL, graduating in the top 1% of his class. His work focuses on autonomous navigation, environmental monitoring via satellite systems, and AI-driven healthcare solutions. Projects : ANTIDOTE (AI Attack/Defense for Smart Healthcare, 2025-2028), AIDiAL (AI Chatbot for Literacy, 2024-2025), REMARKABLE (Federated Learning for Environmental Monitoring, 2023-2026). Collaborations : Involved in Horizon Europe, Marie Curie Actions, and Seedfunding ILIND programs with institutions across AI, IoT, and environmental domains. His research includes GNSS-denied navigation , LoRaWAN engineering , and 2D semantic segmentation . Recognized with the Best Paper Award at a prestigious IEEE conference in 2018 for UAV applications.

• Aerial Robotics
• Deep Learning
• Machine Learning
• +۷ مورد دیگر

Daniel Filipe Sobral Fernandes is an Assistant Professor at Lusófona University - Lisbon University Center and a researcher at COPELABS (Association for Research and Development in Cognition and Human-Centered Computing). He holds a PhD in Information Science and Technology from ISCTE - University Institute of Lisbon, along with Master's and Bachelor's degrees in Telecommunications and Computer Engineering from the same institution. He also completed postgraduate studies in Management and Administration in Civil Protection at Lusófona University. Research Interests: His work centers on telecommunications and network optimization, particularly in 5G and beyond. Key areas include cloud-based network planning, self-organizing networks (SON), massive MIMO, SC-FDE modulation systems, and machine learning applications for mobile traffic forecasting and coverage estimation. His research integrates cloud computing with real-world network deployment challenges, focusing on automation and performance efficiency. Publication Trends: His recent publications (2017–2021) show a strong focus on cloud-based implementations for cellular network planning, optimization of 5G and legacy networks (GSM, UMTS), and hybrid methodologies combining empirical measurements with AI-driven models. There is a clear trend toward scalable, automated solutions for radio resource management and coverage prediction. Scientific Awards: Recipient of seven merit awards during his academic career Research and Advising: Daniel participated in the OptiNET-5G research project focused on 5G network planning and optimization. He has co-authored scientific papers with 31 collaborators. While no formal students are listed, his active research and publications suggest involvement in academic mentorship. He has not disclosed grant funding details. Labs and Teams: He is affiliated with COPELABS, a research unit dedicated to cognition and human-centered computing, where he contributes to projects involving intelligent systems and network automation.

• Information Science and Technology
• Telecommunications Engineering
• Computer Engineering
• +۸ مورد دیگر

Joao Pedro Leal Abalada de Matos Carvalho is a researcher at Lusofona University 's School of Communication, Architecture, Arts and Technologies , focusing on Artificial Intelligence, Machine Learning, and Unmanned Aerial Vehicle systems. He contributes to projects like ANTIDOTE (AI Attack & Defense) and REMARKABLE (Rural Environmental Monitoring). Active in AI-driven environmental monitoring and cyber-physical systems Collaborates with Horizon Europe and Marie Skłodowska-Curie Actions Key research areas: Deep Learning, Federated Learning, High-Energy Physics His work involves LoRaWAN engineering , satellite data processing , and hydroelectric forecasting models , with 55 scientific publications and 382 h-index citations. Current collaborations span Europe and Brazil , with active projects in smart healthcare , AI literacy , and radiation-hardened electronics for CERN experiments.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۷ مورد دیگر