• Smart optical networks enabled by machine learning - This research program aims at exploring machine learning methods for applications in optical networking including the estimation of the transmission quality of transmission (QoT) of lightpaths before establishment and performance prediction of established lightpaths.

• Machine learning for optical networking applications. Collaboration Ciena

• Performance monitoring of coherent optical networks - The research project aims at developing predictive methods for performance degradation and failure for high-capacity coherent networks based on monitoring data collected in a carrier network over several seasons and on multiple fiber plant deployments. The results of this research will enable to develop preventive strategies for making coherent networks more reliable and easier to manage for network operators, as well as more precise engineering and planning rules for future fiber network deployments. Collaboration Ciena, Verizon, KTH Royal Institute of Technology

• Optical communications and networking
  > Machine learning. Collaboration Trinity College of Dublin
  > Filterless optical networking. Collaboration Ciena, KTH
  > Mixed-line-rate optical transmission. Collaboration IP Paris:Télécom SudParis
  > High-capacity passive optical network (PON). Collaboration Vidéotron/LabVI
  > Photonic device modeling and characterization, optical fiber tests and measurements.
  

  
  The research team at the Network Technology Lab over the years:
  

       
  

  Research team, Network Technology Lab, 2019 - Ottawa team at Ciena (top); Mehran Bagheri, Maryam Amiri, Firouzeh Golaghazadeh, Bill Somen. Montreal team (bottom): Stephan Tran, Prof. Christine Tremblay, Martine Valiquette, Tarik Mammeri, Laure Yaméogo, Ameni Mezni, Dipankar Sengupta. Missing on the picture: Sandra Aladin, Stéphanie Allogba.

   
  

  Research team, Network Technology Lab, summer 2018: Rémi Beaubaton, Colin Duhaze, Dipankar Sengupta, Nouha Khelifi, Ameni Mezni, Laure Yaméogo, Stéphanie Allogba, Prof. Mounia Lourdiane (Télécom SudParis), Prabin Pradhan, Prof. Christine Tremblay

The Network Technology Lab welcomes Prof. Mounia Lourdiane from Télécom SudParis and Hussein Chouman, PhD student at Télécom ParisTech for a research collaboration on high-speed optical transmission (summer 2017). Photo: Sandra Aladin, Laure Yaméogo, Stéphanie Allogba, Prof. Mounia Lourdiane, Hussein Chouman, Prof. Christine Tremblay.

The Network Technology Lab welcomes Prof. Mounia Lourdiane from Télécom SudParis, summer 2016. Photo: Sandra Aladin, Laure Yaméogo, Stéphanie Allogba, Prof. Mounia Lourdiane, Marie Janvier Tanoh, Prof. Christine Tremblay.

           

Network Technology Lab, summer 2014. First row, from left to right: Feriel Nabet, Thomas Brugière, Nabih Alloune, Pierre-Luc Verville. Second row, from left to right: Prof. Christine Tremblay, Md. Nooruzzaman, Abdoulkader Ali Houfaneh, Nelson Landry.

"Photons at 40 Gb/s travel between the Laboratoire de technologies de réseaux (Montréal) and Ciena's Carling lab (Ottawa) via the Canadian research network CANARIE and RISQ" (09-2011). First row, from left to right : Prof. Christine Tremblay, Aurélien Mortelette, Egmont Nicolas, Prof. Véronique François and Guillaume Mantelet. Second row, from left to right : Andrew Cassidy, Martin Gauthier et André Zalzal.

Network Technology Lab, winter 2013. First row, from left to right : Hammou Hammoudi, Aurélien Mortelette, Cyril Amelin. Second row, from left to right: Yassir Alaoui, André Zalzal, Zhenyu Xu, Émile Archambault, Nelson Landry and Prof. Christine Tremblay.

Network Technology Lab, Spring 2011. First row, from left to right : Egmont Nicolas, Guillaume Mantelet, Ahmed Bortai, Liamidi Laguide. Second row, from left to right: Fabian Vergara, Andrew Cassidy, André Zalzal, Martin Leclerc, Zhenyu Xu and Prof. Christine Tremblay.