About me
This is Seid Muhie Yimam’s (ሰይድ ሙሄ ይማም ) academic web page.
Short intro:
Seid Muhie Yimam, Ph.D., is a Technical Lead at the Hub of Computing and Data Science (HCDS) and a Research Associate in the Language Technology Group at the University of Hamburg. He also serves as a Visiting Professor at the Instituto Politécnico Nacional (IPN) in Mexico and maintains active research collaborations with several Ethiopian universities, where he contributes to PhD student supervision, course teaching, and joint research activities. His research spans Natural Language Processing, artificial intelligence, and data science, with a particular emphasis on low-resource languages, multilingual and multimodal NLP, explainable and responsible AI, and AI-driven innovation for social impact, including health care applications.
Dr. Yimam is a member of Masakhane and has played an active role in advancing African NLP through community-driven research and collaboration. His work includes leading several SemEval shared tasks, publishing in major ACL venues, and contributing to award-winning research at the forefront of low-resource and multilingual NLP. He received his Ph.D. in Computer Science from the University of Hamburg, and his doctoral thesis received the GSCL Award for Best Doctoral Thesis. He has also been recognized with Best Paper Awards, including the Deep Learning Indaba Best Paper Award and the SemEval 2025 Best Task Paper Award. Through his sustained leadership in research, teaching, and international collaboration, Dr. Yimam contributes to the application and integration of AI across multiple domains, with a special focus on low-resource settings and languages.
News
- 🫱🏼🫲🏻 🫱🏼🫲🏻 Sep 1 - 7 2024 - Seid Muhie Yimam will attend the Deep Learning Indaba (DLI) event, in Dakar, Senegal from September 1-7, 2024. He will present the following works:
- 🧑🏫 AM-DETOX: Analyzing Amharic Text Detoxification Using Pre-trained Large Language Models,
- 🧑🏫 Sentiment and Hate Speech datasets for more than 14 African languages,
- 🧑🏫 AI4Democracy: Dynamic Dashboard for Analyzing Polarization and Extremism in Online Media,
- 🧑🏫 and SEMEVAL-2025: Bridging the Gap in Text-Based Emotion Detection
- 🎉 🎉 🎉 April - May 2024 - Seid Muhie Yimam has successfully conducted the Summer School for Women in AI and Data Sceince at AASTU: Summer School for Women in AI and Data Science.
- 🎉 🎉 🎉 December 2023 - Seid Muhie Yimam has been accepted as a member of the CODATA International Data Policy Committee (IDPC)
- 🎉 🎉 🎉 October 2023 - Seid Muhie Yimam has been granted a Google Research explorCSR and TensorFlow exploreCSR addon grant.
