Akhondi, Saber

JRESEARCH_PERSONAL_INFORMATION

Position: PhD Candidate Akhondi, Saber
Research areas:
  • Uncategorized
JRESEARCH_PHONE: +31107044219
Description:

Saber Akhondi was born in Iran, September 1982. He obtained his MSc degree in Bioinformatics and Systems Biology from Chalmers University of Technology, Sweden, in 2011. He did his thesis at AstraZeneca in 2010 with the title of "Integrating heterogeneous ranked sources with different reliabilities: A case study of Gene-Disease associations".

In 2011 he started working as a Scientist and a Vocabulary developer at AstraZeneca R&D Molndal, Sweden, where he was mainly involved in two projects called iSIM and Pharmaconnect.

In December 2011 he started as a PhD student within the biosemantics group. His research is aimed at Exploring Chemical and Biological Named Entity Recognition (Chemical NER, BioNER) in drug discovery. The project is a collaboration between AstraZeneca and the department of Medical Informatics at Erasmus MC.

 

Publications

  • Akhondi, S. (2017). The biomedical abbreviation recognition and resolution (BARR) track: Benchmarking, evaluation and importance of abbreviation recognition systems applied to Spanish biomedical abstracts. , . [More] 
  • Afzal, Z., Akhondi, S., van Haagen, H. H., van Mulligen, E. M. & Kors, J (2016). Concept Recognition in French Biomedical Text Using Automatic Translation. In International Conference of the Cross-Language Evaluation Forum for European Languages, pages 162-173. [More] 
  • van Mulligen, E. M., Afzal, Z., Akhondi, S., Vo, D. & Kors, J (2016). Erasmus MC at CLEF eHealth 2016: Concept recognition and coding in French texts. In. [More] 
  • Pons, E., Becker, B. F., Akhondi, S., Afzal, Z., van Mulligen, E. M. & Kors, J. (2016). Extraction of chemical-induced diseases using prior knowledge and textual information. Database, 2016, baw046. [More] 
  • Akhondi, S., Pons, E., Afzal, Z., van Haagen, H. H., Becker, B. F., Hettne, K. M. et al. (2016). Chemical entity recognition in patents by combining dictionary-based and statistical approaches. Database, 2016, baw061. [More] 
  • Krallinger, M., Rabal, O., Leitner, F., Vazquez, M., Akhondi, S., Kors, J. et al. (2015). The CHEMDNER corpus of chemicals and drugs and its annotation principles. Journal of Cheminformatics, (Suppl 1), S2. [More] 
  • Akhondi, S., Hettne, K. M., van der Horst, E., van Mulligen, E. M. & Kors, J. (2015). Recognition of chemical entities: combining dictionary-based and grammar-based approaches. J Cheminform, 7(Suppl 1), S10. [More] 
  • Akhondi, S., Muresan, S., Williams, A. & Kors, J. (2015). Ambiguity of non-systematic chemical identifiers within and between small-molecule databases. Journal of Cheminformatics, 7(1), 54. [More] 
  • Pons, E., Becker, B. F., Akhondi, S., Afzal, Z., van Mulligen, E. M. & Kors, J. (2015). RELigator: Chemical-disease relation extraction using prior knowledge and textual information. Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, 1, 247-253. [More] 
  • Akhondi, S., Pons, E., Afzal, Z., van Haagen, H. H., Becker, B. F., Hettne, K. M. et al. (2015). Patent mining: combining dictionary-based and machine-learning approaches. Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, 1, 102-109. [More] 
  • Afzal, Z., Akhondi, S., van Haagen, H. H., van Mulligen, E. M. & Kors, J. (2015). Biomedical Concept Recognition in French Text Using Automatic Translation of English Terms. CLEF. [More] 
  • Kors, J., Clematide, S., Akhondi, S., van Mulligen, E. M. & Rebholz-Schuhmann, D. (2015). A} multilingual gold-standard corpus for biomedical concept recognition: the Mantra {GSC. , . [More]