Daniel Romero

Associate Professor
Dept. of Information and Communication Technology,
Autonomous Systems Laboratory (ASL),
Center for Integrated Emergency Management (CIEM),
University of Agder (UiA).


Address: Jon Lilletunsvei 9
4879 Grimstad, Norway
Office: A2-100 (A-Building)
Tel: +47 372 33 196, +47 406 59 709
Email: daniel [dot] romero [at] uia [dot] no


My research revolves around several areas:

  • UAV communications: we are currently working on developing a suitable technology for communications of UAVs that perform autonomous and semi-autonomous operations. The rapidly changing nature of the channel as well as the need for low-latency and high-reliability communication calls for enhancements and extensions of the cellular infrastructure that we are developing using machine learning.  
  • Time-series analysis: we work on making sense out of the enormous amount of data collected by sensors in scientific and industrial environments nowadays. We apply machine learning and network science techniques to unveil casual relations among processes, which allows high-level understanding of the dynamics of complex systems that cannot be analyzed through traditional model-based approaches.
  • Decentralized processing with sensor networks: we are developing network science tools to split the computation load across the sensors of a network. The purpose is to lengthen network lifetime, improve robustness, and reduce hardware costs. 
For past contributions, see "Publications". Besides research, I teach several PhD courses on optimization and statistical signal processing.


  • Apr. 21, 2021. I am pleased to announce the opening of two PhD positions in our project AirBonnet, which deals with providing wireless connectivity in crowded or remote areas as well as in emergency situations:
    • One position focuses on wireless communications, navigation, and emergency response aspects. Deadline: May 18.
    • Another position focuses on control and autonomous operations. Deadline: May 2.
  • Nov. 14, 2020. Our paper "Online Topology Identification from Vector Autoregressive Time Series" has been accepted at IEEE Trans. on Signal Processing.
  • Nov. 13, 2020. My Ph.D. student Yves Teganya defended his doctoral thesis. Congrats, Yves!

  • Nov. 5, 2020. Our paper "Fast Graph Filters for Decentralized Subspace Projection" has been accepted at IEEE Trans. on Signal Processing.
  • Sep. 22, 2020. Our paper "Aerial Spectrum Surveying: Radio Map Estimation with Autonomous UAVs" will be presented tomorrow at the IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2020.

    • Jan. 9, 2018. Our paper  Blind radio tomography” has been accepted for publication in IEEE Transactions on Signal Processing.  
    • Jul. 4, 2017. Our paper ¨Blind Radio Tomography¨ has been submitted to IEEE Transactions on Signal Processing. 
    • Dec. 1, 2016. I joined the University of Agder, Norway, as an associate professor.