Publications

  1. S. Fathi-Kazerooni, Y. Kaymak, and R. Rojas-Cessa,
    Identification of User Application by an External Eavesdropper using Machine Learning Analysis on Network Traffic, IEEE ICC 2019 Workshop (accepted).
  2. Kaymak, S. Fathi-Kazerooni, and R. Rojas-Cessa, “Indirect Diffused Light Free-Space Optical Communications for Vehicular Networks,” Accepted in IEEE Communications Letters, vol., no., pp., Feb 2019 [Link to publication]
  3. S. Fathi-Kazerooni, Y. Kaymak, and R. Rojas-Cessa, Tracking User Application Activity by using Machine Learning Techniques on Network Traffic, 2019 IEEE 1st International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2019) (accepted).
  4. Y. Kaymak, S. Fathi-Kazerooni, and R. Rojas-Cessa, J. Feng, N. Ansari, M. Zhou, and T. Zhang, “Beam with Adaptive Divergence Angle in Free-Space Optical Communications for High-Speed Trains.” arXiv preprint arXiv:1812.11233 (2018). [Link to publication]
  5. A. Agnihotri, S. Fathi-Kazerooni, Y. Kaymak, and R. Rojas-Cessa, Evacuating Routes in Indoor-Fire Scenarios with Selection of Safe Exits on Known and Unknown Buildings using Machine Learning, 2018 IEEE 39th Sarnoff Symposium (accepted).
  6. S. Fathi-Kazerooni, Y. Kaymak, R. Rojas-Cessa, J. Feng, N. Ansari, M. Zhou, and T. Zhang, Optimal Positioning of Ground Base Stations in Free-Space Optical Communications for High-Speed Trains, IEEE Trans. on Intelligent Transportation Systems, vol. 19, no. 6, pp. 1940-1949, June 2018. [Link to publication]
  7. S. Fathi Kazerooni, R. Rojas-Cessa, (2017, May). SRA: Slot Reservation Announcement Scheme for Increasing Bandwidth Utilization in IEEE 802.11 Crowded Networks. In Communications (ICC), 2017 IEEE International Conference on (pp. 1-6). IEEE. [Link to publication]