Ahnaf Mozib Samin
PhD candidate, ECE, Queen's University
Ex- MSc in Erasmus Mundus Language and Communication Technologies (LCT), University of Groningen & University of Malta
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Welcome
I am a PhD candidate in Electrical and Computer Engineering (ECE) with a Graduate Research Fellowship at Queen's University, Canada. I am now working on speech technologies under the supervision of Prof. Wai-Yip Geoffrey Chan.
I have pursued a master's degree in the Erasmus Mundus Language and Communication Technologies (LCT) program at the University of Groningen, The Netherlands and the University of Malta, Malta with a fully-funded scholarship from the European Union. My master's thesis focuses on parameter-efficient low-resource speech recognition under the guidance of Dr. Andrea De Marco, Dr. Claudia Borg, and Dr. Shekhar Nayak.
I completed my Bachelor's degree in Computer Science and Engineering (CSE) at Shahjalal University of Science and Technology (SUST), Bangladesh, with a thesis on automated Bangla speech recognition under the supervision of Prof. Dr. M. Shahidur Rahman.
My research interests broadly lie at the intersection of computer science, artificial intelligence, and linguistics. More precisely, I am interested in speech processing, computational linguistics, and natural language processing. I am always looking for research collaborations.
Recent News
Sept 12, 2023 Started my PhD at Queen's University, Canada.
May 19, 2023 Our NoDaLiDa paper got published! Title: "Slaapte or Sliep? Extending Neural-Network Simulations of English Past Tense Learning to Dutch and German".
Apr 6, 2023 Our paper titled "garNER at SemEval - 2023: Simplified Knowledge Augmentation for Multilingual Complex Named Entity Recognition" got accepted at the 17th International Workshop on Semantic Evaluation (SemEval 2023)!
Mar 20, 2023 Our paper titled "Slaapte or sliep? Extending neural-network simulations of English past tense learning to German and Dutch" got accepted at the Nordic Conference on Computational Linguistics (NoDaLiDa 2023)!
Feb 11, 2023 Our paper titled "Arguments to Key Points Mapping with Prompt-based Learning" is now available on ACL Anthology.