lm✳LOTFI ABDELKRIM MECHARBATPHD · MACHINE LEARNING
ABOUT

About me

Lotfi Abdelkrim Mecharbat
ALGIERS → VALENCIENNES → ABU DHABI

I’m Lotfi Abdelkrim Mecharbat, a PhD student in Machine Learning at Mohamed bin Zayed University of Artificial Intelligence.

I work with Prof. Mohammad Yaqub and Prof. Martin Takáč. My research focuses on foundation models, compression, efficient deep learning, adaptation, knowledge distillation, and meta-learning. I also work on AutoML and neural architecture search.

Before my PhD, I worked on hardware-aware architecture search, railway anomaly detection, and deployment on edge devices.

I’m interested in methods that select a model’s architecture, initialization, and training settings for a given task.

OUTSIDE RESEARCH

I like football, trekking, and history. I captained MBZUAI’s university football team to a tournament win. I’ve also worked on player and ball tracking for amateur football videos.

University football ↗
EDUCATION & EXPERIENCE

Education & experience

My education and research experience, from my current PhD back to my studies in Algiers.

  1. — Present
    EducationCurrentAbu Dhabi, UAE

    PhD in Machine Learning

    MBZUAI

    Researching automatic specialization of foundation models. Supervised by Prof. Mohammad Yaqub and Prof. Martin Takáč.

  2. — 2024
    Research experienceAbu Dhabi, UAE

    Research Assistant

    NYU Abu Dhabi · CQTS

    Explored mixture-of-experts architecture search and complex-valued physics-informed neural networks.

  3. — 2023
    Research experienceValenciennes, France

    Research Engineer

    ALSTOM & LAMIH

    Worked on diffusion-based architecture search, railway anomaly detection, and edge deployment.

  4. — 2022
    Research experienceValenciennes, France

    Research Assistant

    LAMIH

    Explored hybrid CNN–Transformer architectures and deployment on tiny edge devices.

  5. — 2021
    InternshipAlgeria

    Data Science Intern

    AITECH

    Applied routing and optimization methods to agricultural supply-chain logistics.

  6. — 2022
    EducationAlgiers, Algeria

    Engineering degree & M.Sc. in Computer Science

    ESI Algiers

    High Honors. Studied neural architecture search for efficient Vision Transformers on edge devices.

TECHNICAL EXPERIENCE

Training and deployment

I’ve built training pipelines on NVIDIA and AMD ROCm clusters. I’ve also used ONNX Runtime, TensorRT, and INT8 quantization for deployment on edge devices.

TOOLS I WORK WITH

Python · C/C++ · PyTorch · Hugging Face
CUDA · Triton · Docker · Slurm

LANGUAGES I SPEAK

Arabic (native) · English (fluent)
French (TCF C1)

COMPETITION

2nd place worldwide
AutoML 2022 Global Competition

CONTACT

Contact

You can email me about my research or a possible collaboration.

Paper citation

BibTeX citation

Project illustration

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