About me

Hello, I’m Herman. I am a PhD student at Concordia University in the Atlas Analytics Lab, under the supervision of Prof. Mahdi S. Hosseini. My work focuses on generative models, in particular diffusion models, and on computational pathology. Previously, I was a research intern at CNRS in the Miners team, working with Dr. Issam Falih and Prof. Engelbert Mephu, where my research focused on domain adaptation for data streams.

Email: hermanmotcheyo (at) gmail (dot) com

Research Interests

Generative AI, Diffusion Models, Optimal Transport, Trustworthy Machine Learning

News

09/2026I started my PhD at Concordia University.
09/2026Unsupervised Online Anomaly Detection in Data Streams via Optimal Transport is accepted at the OWAD Workshop at ICDM 2026.
08/2026I defended my research internship project.
08/2026moofs, a Python library for multiobjective feature selection, is released (v1).
07/2026I attended the Hi! PARIS & ELLIS Summer School.
05/2026Online Domain Adaptation for Data Stream Anomaly Detection is accepted at CAp 2026.
04/2026Accelerating Frequent Gradual Pattern Discovery through Dimensionality Reduction is accepted at ISMIS 2026.
03/2026I started a research internship at CNRS on test-time domain adaptation and optimal transport.
03/2026I defended my research project at LIMOS on domain adaptation for data stream.
01/2026A poster on frequent gradual patterns is accepted at EGC 2026.
10/2025I joined LIMOS for my M2 research project on optimal transport for streaming data.
10/2025Our work on porous geopolymers is published in Open Ceramics.
05/2025I received the MIAI Cluster M2 Excellence Scholarship.
05/2024Top 20 finalist at the CANAM AI Competition (National).