D'Jeff Kanda Nkashama

University of Sherbrooke. 2500, boul. de l'Université, Sherbrooke (Québec) J1K 2R1.

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D6 0053

University of Sherbrooke

Quebec, Canada

D’Jeff is currently pursuing a PhD at the University of Sherbrooke, with a focus on the practical applications of machine learning. His research interests lie at the intersection of machine learning and cybersecurity, where he aims to develop robust models for anomaly detection for industrial control systems.

D’Jeff is an active member of the GRIC, an interdisciplinary research group, at the University of Sherbrooke, dedicated to advancing cybersecurity. Additionally, he is a part of GREPROVAD and Optimall-Lab, where he collaborates with researchers in the fields of optimization and machine learning.

Kindly find my resume here:

news

Jan 25, 2024 Tech Talk at SherWeb I gave a talk on AI for cybersecurity..
Oct 25, 2023 Presentation at InCyber (FIC) in a pecha kucha style. (I had a lot of fun 🤩)
Jul 16, 2023 I will be attending the Deep Learning and Reinforcement Learning (DLRL) summer school at MILA from the 16th of July to the 21st.
Jul 4, 2023 I will be attending the GeekWeek 8 Cybersecurity summer school at Ottawa from the 4th to the 14th of July.
Jun 21, 2023 I presented my research and work (out of my internship) to the Advanced Analytic Community (CAA) at Desjardins. The topic of my presentation was: On Evaluating Machine Learning Models for Anomaly Detection. [PDF].
May 2, 2023 Speaker at the cybersecurity summer school at the University of Sherbrooke. I co-pressented with Jordan Masakuna Felicien on Artificial Intelligence for cybersecurity, Conference website 2023.
Oct 26, 2022 Presentation of my work at the Public Safety Canada symposium 2022.

selected publications

  1. ICLR-MLES
    Characterizing Financial Market Coverage using Artificial Intelligence
    Jean Marie Tshimula, D’Jeff K Nkashama, Patrick Owusu, and 7 more authors
    In MLDM 2023: 18th International Conference on Machine Learning and Data Mining 2023
    HTML PDF
  2. ICMHI
    Redesigning Electronic Health Record Systems to Support Developing Countries
    Jean Marie Tshimula, D’Jeff K Nkashama, Kalonji Kalala, and 5 more authors
    In 7th International Conference on Medical and Health Informatics (ICMHI 2023) 2023
    HTML PDF
  3. ICML-ML4CY
    Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems
    D’Jeff K Nkashama, Soltani Arian, Jean-Charles Verdier, and 3 more authors
    In Workshop on Machine Learning for Cybersecurity, International Conference on Machine Learning 2022
    HTML PDF
  4. ICLR-MLES
    A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms
    Maxime Alvarez*, Jean-Charles Verdier*, D’Jeff K Nkashama*, and 3 more authors
    In Workshop on Setting up ML Evaluation Standards to Accelerate Progress, International conference on learning representations 2022
    HTML PDF