Slavisa Tomic

Slavisa Tomic is an Associate Professor at Universidade Lusófona, Centro Universitário de Lisboa (UL-CUL), and a senior researcher at COPELABS (Communication Technologies and Systems Laboratory). His work focuses on wireless sensor networks, target localization, tracking, and UAV navigation in GPS-denied environments.

His research interests include:

• Target localization and tracking using hybrid measurements (RSS, AoA, TOA)
• Robust estimation techniques (ML, MAP, Kalman filters, particle filters)
• Optimization methods (SOCP, SDP, GTRS) for localization
• UAV navigation in satellite-less environments
• Machine learning applications in signal processing and localization
• Security in wireless networks (malicious node detection, spoofing)

His recent publications show a strong trend toward integrating deep learning (e.g., LSTM, CNN) with classical signal processing for autonomous navigation and localization. He has developed tools like AutoNAV for UAV simulation and contributed to embedded implementations of optimization algorithms. His work spans both theoretical algorithm development and practical implementation.

Scientific Recognition:

• Ranked among the top 2% most influential scientists globally in Information and Communication Technologies (sub-area: Networks and Telecommunications) from 2019 to 2024, based on Stanford University methodology.

He has advised or collaborated on research involving energy-based acoustic localization, test-bench development for embedded systems, and drone-based environmental monitoring. He has also contributed to special issues and book chapters in his domain. His research is supported by active publication in IEEE, Sensors, and other high-impact journals.

He is affiliated with COPELABS, a research lab focused on communication technologies, where he contributes to projects involving secure, robust, and intelligent wireless systems.