Aisha Alaagib
Research Student
DFKI
Biography
I am a research assistant at German Research Center for Artificial Intelligence (DFKI). I am conducting my research under the supervision of Prof. Sebastian Vollmer and Prof. Seth Flaxman, studying the Representation Learning for Remote Sensing data. Previously, I was a research intern at Mila Quebec AI Institute and Vector Institute. I hold two M.Sc. degrees in Mathematical Sciences and Machine Intelligence from AIMS Cameroon and AIMS Rwanda respectively (2017-2019) and a bachelor’s degree in Mathematics and Computer Science from the University of Khartoum, Sudan.
My research interest include deeplearning, representatin lerning, robustness, fairness and interpretability. I am also broadly interested in unsupervised representation learning for different modalities (text, vision) and finding good disentangled representations which are generally important for good performance on some downstream tasks.
In other news, I am very passionate about ML community, teaching, learning and research. I enjoy running and traveling.
ML & DL Communities:
- Representation Learning
- Trustworthy machine learning
- NLP
- Computer Vision
- Climate Change
MSc in Mathematics and Artificial Intelligence, 2019
African Institute for Mathematical Sciences (AIMS/AMMI)-Rwanda
MSc in Mathematical Sciences, 2018
African Institute for Mathematical Sciences (AIMS)-Cameroon
BSc in Mathematics and Computer Sciences, 2016
Universit of Khartoum
Events Co-organization
Next Events:
- May, 2024: Workshop co-organization, 5th Practical Machine Learning for Developing Countries Workshop at ICLR 2024, Vienna, Austria.
- Aug, 2024: Workshop co-organization, Trustworthy AI Workshop- TrustAI @ IJCAI-24, Jeju.
- Sep, 2024: Conference Committees (programme committee) for the Deep Learning Indaba, Senegal.
Past Events:
- Sep, 2023: Workshop co-organization, 2nd Trustworthy AI Workshop – TrustAI @ DeepIndaba 2023, Accra Ghana.
- May, 2023: Workshop co-organization, 4th Practical Machine Learning for Developing Countries Workshop at ICLR 2023, Kigali, Rwanda.
- Aug, 2022: Workshop co-organization, 1st Trustworthy AI Workshop – TrustAI @ DeepIndaba 2022, Tunisia.
- Aug, 2022: Conference Committees (programme committee) for the Deep Learning Indaba, Tunis.
Experience
Responsibilities include:
- Studying the tensions between fairness and the right to erasure in the context of machine learning (i.e machine unlearning).
- Advised by Prof. Seth Flaxman and Prof Sebastian vollmer.
Responsibilities include:
- Studying the tensions between fairness and the right to erasure in the context of machine learning (i.e machine unlearning).
- Advised by Prof. Golnoosh Farnadi and Dr. Ulrich Aivodji.
Responsibilities include:
- Working on a project related to the idea of fairwashing where we try to detect if the interpretable model provided by the company is the exact one or it is a fake fair model (paper accepted @ Neurips 2022).
- Advised by Prof. Nicolas Papernot.
Responsibilities include:
- Teaching Machine Learning for a class of about 40 students and engaged in different groups of research in a variety of Machine Learning topics.
- Advised by Moustapha Cisse.
Responsibilities include:
- Work on Multimodal using memory shared to learn the single representation for the objects.
- Engage in all parts of the research process including reading relevant literature, running experiments and writing results.
- Advised by Prof. Sanja Fidler.
Publications
Contact
- aalaagib@aimsammi.org
- 450 S, Khartoum, K 94305
- DM Me