Mohammad Nasiruddin

Mohammad Nasiruddin

Research & development

Computer Science, Image and Interaction Laboratory

La Rochelle, France

mohammad.nasiruddin(at)laposte.net

+33 (0)6 95 41 99 95

Me

I am from Bangladesh, a small country in South Asia. I was born and raised in Narayanganj, a city in central Bangladesh, around 15 kilometers away from the capital city Dhaka.

Currently, I am a research scholar at the Laboratoire Informatique, Image et Interaction (L3i) in La Rochelle, France. My main research focus is pattern recognition and machine learning for document analysis and understanding. I work with different heterogeneous and multimodal documents, like text documents and documents with images.

I received my Master of Science degree from the University of Asia Pacific in computer science and engineering. During my master thesis, I worked on a small project of Bengali speech recognition (my mother tongue and also widely known as Bangla) under the supervision of Prof. Mohammad Nurul Huda.

Previously, I worked as a research assistant at the Grenoble computer science laboratory (LIG), where I worked on different projects related to an under-resourced language (i.e., Bengali), lexical disambiguation, and statistical machine translation.

Along with my professional work, I devote my learning in astrophysics and mathematics.

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Publications

  • Shah R., Boitet C., Bhattacharyya P., Padmakumar M., Zilio L., Kalitvianski R., Nasiruddin M., Tomokiyo M., and Castellanos-Paez S., Post-editing a chapter of a specialized textbook into 7 languages: importance of terminological proximity with English for productivity, In 12th International Conference on Natural Language Processing (ICON 2015), pages 321–328, Trivandrum, 2015.
  • Nasiruddin, M., Tchechmedjiev A., Schwab D., and Blanchon H., Rapid Construction of a Supervised Word Sense Disambiguation System for Under-resourced Languages (Création rapide et efficace d’un système de désambiguïsation lexicale pour une langue peu dotée), In 22ème conférence sur le Traitement Automatique des Langues Naturelles (TALN 2015), pages 83–94, Caen, 2015.
  • Nasiruddin, M., Didier Schwab, Tchechmedjiev A., Sérasset S., and Blanchon H., Word Sense Induction for the Enrichment of Lexical Resources (Induction de sens pour enrichir des ressources lexicales), In 21ème conférence sur le Traitement Automatique des Langues Naturelles (TALN 2014), pages 598–603; Marseille, 2014.
  • Rahman M. H., and Nasiruddin, M., Impact of two realistic mobility models for vehicular safety applications, In International Conference on Informatics, Electronics & Vision (ICIEV), 2014, pages 1–6, Dhaka, 2014.
  • Nasiruddin, M., A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-resourced Languages, In 15ème Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL 2013), pages 192–205, Les Sables d'Olonne, 2013.
  • Schwab D., Tchechmedjiev A., Goulian J., Nasiruddin, M., Sérasset G., and Blanchon H., GETALP System: Propagation of a Lesk Measure through an Ant Colony Algorithm, In 7th International Workshop on Semantic Evaluation (SemEval 2013), pages 232–240, Atlanta, 2013.
  • Hassan F., Kotwal M. R. A., Rahman M. M., Nasiruddin, M., Latif M. A., and Huda M. N., Local Feature or Mel Frequency Cepstral Coefficients-which One is Better for MLN-based Bangla Speech Recognition?, In 1st International Conference on Advances in Computing and Communications (ACC 2011), pages 154–161, Kochi, 2011.
  • Nasiruddin, M., Word Sense Induction for Under-resourced Languages, In 7th International Conference on Web Reasoning and Rules Systems (RR 2013), Mannheim, 2013.
  • Nasiruddin, M., Local Feature-based Bangla Phoneme Recognition, Published by LAP LAMBERT Academic Publishing GmbH and Co. KG., pages 1–84, Saarbrücken, 2012.

Résumé

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