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Professor of Natural Language Processing
Thamar’s research interests include all things multilingual, low-resource NLP, information extraction, and, more recently, multimodal problems.
Email: firstnameperiodlastname@mbzuai.ac.ae
X: thamar_solorio
March 2024 - Present
Toqeer Ehsan is a postdoctoral researcher at MBZUAI, holding a doctoral degree in Computer Science with a specialization in Natural Language Processing (NLP). His research primarily focuses on developing systems for low-resource languages to perform tasks such as Information Extraction, Sentiment Analysis, Machine Translation, and Code-mixed text analysis. He also works on cross-lingual data augmentation techniques to address the challenges posed by the scarcity of annotated data in low-resource languages.
Email: toqeer.ehsan@mbzuai.ac.ae
April 2024 - Present
Injy Hamed is a Postdoctoral Associate at MBZUAI. She received her PhD from Stuttgart University and worked as a Research Assistant at CAMeL Lab in New York University Abu Dhabi prior joining MBZUAI. Her research interest focuses on code-switched and Arabic natural language processing, where she worked on corpora collection, speech recognition, text generation and machine translation.
Email: injy.hamed@mbzuai.ac.ae
March 2025 - Present
Atnafu is a Postdoctoral researcher at MBZUAI. He recived his PhD in Computer Science from Instituto Politécnico Nacional, Mexico, where he was supervised by Prof. Alexander Gelbukh and Prof. Olga Kolesnikova. Atnafu’s research interests include NLP for low-resourced languages, Multilingual language models, Speech & Multimodal NLP, and NLP for African languages. Personal website | Google Scholar
Email: atnafuatx [at] gmail [dot] com
August 2024 - Present
Emilio Villa-Cueva is a PhD student at MBZUAI. He holds a master’s degree in Computer Science from the Mathematics Research Center (CIMAT). His research focuses on building systems capable of understanding human communication across different languages and cultures in a multimodal setting. He is also interested on exploring methods that utilize minimal labeled data through few-shot learning. Before, he has worked on domain adaptation, cross-lingual transfer, and clickbait spoiling. Personal website
Email: evillacueva [at] gmail [dot] com
August 2023 - Present
Krisna is an MSc student at MBZUAI with interests lie in representation learning for low-resource languages, model interpretability, and alignment. His grand goal of research is to propose better learning paradigm (that might also ground linguistic heuristics) or model arhitecture that could generalize well to underrepresented languages where scaling doesn’t work and producing representation that can be disentangled easily enabling easier alignment on different values. Personal website
Email: mahardika.ihsani@mbzuai.ac.ae
German holds a master’s degree in Computer Science from the National Autonomous University of Mexico (UNAM). His current work focuses on information extraction tasks using parameter-efficient techniques for low-resource languages, aiming to enhance accessibility and usability of NLP technologies. Personal website
January 2024 - October 2024
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We are part of the Department of Natural Language Processing at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Mohamed bin Zayed University of
Artificial Intelligence Masdar
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