Postdoc, LIP, UCBL, ENS Lyon

I am currently a postdoc at the University Claude Bernard Lyon 1, doing my research in the HoWNet team of the LIP laboratory at ENS Lyon, under the supervision of Isabelle Guérin Lassous. I am working on the Concerto project for "controlled mobility and efficient communication in a self-organized fleet of drones". I completed my PhD in December 2019 under the supervision of Thomas Begin in the Dante team.

My research interests include performance evaluation, modeling, and (discrete-event) simulation of computer networks. My more recent work focuses on applying machine learning approaches to the prediction of Wi-Fi performance (not yet published). I would ideally like to expand this knowledge and then apply it to other research topics.

Wi-Fi network as a graph

marija.stojanova AT
marija.stojanova AT

LIP, Laboratoire de l'Informatique du Parallélisme
46, Allée d'Italie
69364 Lyon

You can download the full CV in English.
My PhD topic was Performance modeling of IEEE 802.11 WLANs. The PhD was focused on the performance evaluation of Wi-Fi using different stochastic methods. The majority of the work was based on discrete and continuous Markov chains that we used to predict the throughput (MAC layer) of a Wi-Fi network modeled as a undirected graph. The last part of the PhD focused on Graph Signal Processing (GSP) methods for Wi-Fi using those same graphs. Due to its simplicity, the GSP approach allows us to more easily process larger networks, however the Markovian models offer higher precision.
The end of my PhD slowly introduced Machine Learning (ML) to my work, and I am currently using several ML regression approaches to predict the performance of a Wi-Fi network based on several measured metrics. We are interested in predicting the quality of a wireless channel in a fleet of drones, while satisfying task-related constraints such as fleet formation and inter-node distance.
All the publications are available on Scholar.

(Int. Conf.) Conflict graph-based Markovian model to estimate throughput in unsaturated IEEE 802.11 networks, Marija Stojanova, Thomas Begin, Anthony Busson. IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 17, May 2017, Paris.

(Journal) Conflict graph-based model for IEEE 802.11 networks: A Divide-and-Conquer approach , Marija Stojanova, Thomas Begin, Anthony Busson. Performance Evaluation, Elsevier, December 2018.

(Nat. Conf.) Modélisation des réseaux IEEE 802.11 : Diviser pour régner , Marija Stojanova, Thomas Begin, Anthony Busson. CoRes 2019, France.

(Nat. Conf.) Traitement du signal sur graphe pour modéliser les WLANs, Marija Stojanova, Thomas Begin, Paulo Gonçalves. Gretsi 2019, France.

(Int. Conf.) Towards a fast and efficient strategy to assign channels in WLANs with channel bonding, Amel Chadda, Marija Stojanova, Thomas Begin, Anthony Busson, Isabelle Guérin Lassous. PE-WASUN 2020, Spain.

(Journal) A Markov model for performance evaluation of channel bonding in IEEE 802.11 Marija Stojanova, Thomas Begin, Anthony Busson. Ad Hoc Networks 2021.

(Journal) Assigning channels in WLANs with channel bonding: A fair and robust strategy, Amel Chadda, Marija Stojanova, Thomas Begin, Anthony Busson, Isabelle Guérin Lassous. Computer Networks 2021.

School year 2016/2017 @ UCBL:

School year 2017/2018 @ UCBL:

School year 2018/2019 @ UCBL:

School year 2019/2020 @ UCBL:

With my sisters and several colleagues, I am a member of the Science for Kids initiative, available only in Macedonian. We aim to make learning science fun and make online ressources available for kids in Macedonian.

I am a big fan of almost any creative hobby, from photography and watercolors to playing music and singing. I always promise to read and bike a little bit more. A cat person and a big believer of the Waiter rule: If someone is nice to you but rude to the waiter, they are not a nice person.

I'd like to learn more about network science and human behaviour. If you feel the same way and have a few minutes to spare, how about looking into the Evolution of trust or the Wisdom and madness of crowds?