Skip to content
View assalaabnk's full-sized avatar
🎯
Focusing
🎯
Focusing
17 followers · 21 following

Achievements

Achievement: Quickdraw

Achievements

Achievement: Quickdraw

Highlights

  • Pro

Block or report assalaabnk

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
assalaabnk/README.md

Hi 👋, I'm Assala Benmalek

AI/ML Researcher, I focus on medical imaging and LLMs research

🌟 Background

Hello! I’m Assala, an AI/ML aspiring researcher with a deep passion for medical imaging and LLMs research. My journey so far has been dedicated to research while inspiring and empowering others. Here’s a glimpse of my path:

  • 2024-Present LLM's alignment research at IBM Research Africa.
  • 2024 MSc Degree in Computer Engineering from the Institute of Electrical and Electronics Engineering (IGEE).
  • 2024 published multiple papers in medical imaging in big venues, including ISIB2024 and MICCAI2024.
  • 2019–2024 Numerous summer schools and travel awards in Africa, including BDAS23 and ACVSS24.

Feel free to connect, collaborate, or explore my research!

📝 Research

My research centers on medical imaging and LLMs Alignment

Current Work:

  • Alignment Characterization for LLMs: study and evaluate the alignment of multiple open-sourced LLMs using the HuggingFace framework.
  • BraTS Africa: Enhancing Segmentation of African MRI scans.

Past Projects:

  • Fair OOD detectors in dermatology: Published first-author research at ISIB 2024 (Class A Conference).
  • Impact of Skin Tone Diversity on Out-of-Distribution Detection Methods in Dermatology: Published first-author in MICCAI24 side event (MICCAI AFRICA MEETS) in the first MICCAI in Africa and nominated to be the best paper in this event.
  • Convolution Neural Network Deployment for Plant Leaf Diseases Detection: Implemented CNN to detect plant leaf diseases and deployed it at the edge.
  • SaveIT: Early fire detection system using ensemble learning in collaboration with Samsung Electronics.

Follow my research on Research Gate!

👩‍💻 Code & Tools

Top Languages: Python, C/C++, Java.

🏆 Achievements

• Nominated for the best research paper in the MICCAI Meets Africa workshop 2024.

• Best technical research project in the ACVSS2024 hackathon.

• Best research project award at the 4th Big Data Africa School 2023.

• Special mention poster in the Indaba 2022 Research in Africa Showcase Day.

• Winner of the ideation in Deep Learning Indaba 2022.

• Best product award at Injaz al Arab 2020 (ITdrops junior company).

• Best company award at Injaz el Djzair 2020.

🌍 Impact & Volunteering

  • I am volunteering at the SPARK Academy to empower African research in medical imaging as a coordinator for team Algeria.

  • I am volunteering to empower African students to attend the Big Data Africa school 2026.

  • 🔭 I’m currently working on DS, AI projects

  • I’m looking to do a phd in AI/ML Research

Pinned Loading

  1. Plant-leaf-diseases-detection- Plant-leaf-diseases-detection- Public

    The automated identification of plant diseases based on plant leaves is a huge breakthrough. Furthermore, early and accurate detection of plant diseases positively impacts crop productivity and qua…

    Dart 3

  2. SaveIT SaveIT Public

    Forked from Ihssene-Brahimi/SaveIT

    SaveIT is an automated system developed based on Artificial intelligence and deep learning. The main goal of this artificial protection system is to offer the best supervision on forests against fi…

    Jupyter Notebook

  3. OOD-in-Dermatology OOD-in-Dermatology Public

    Identifying out of distribution detection and study OOD detectors fairness in dermatology.

    6