Dr Mahsa Mohaghegh

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Senior lecturer

Phone: +64 9 921 9999 Ext: 7836

Email: mahsa.mohaghegh@aut.ac.nz

Physical Address:

Department of Information Technology and Software Engineering
School of Engineering, Computer and Mathematical Sciences (D-75)
Auckland University of Technology
AUT Tower, 2-14 Wakefield Street
Auckland, 1010
New Zealand
Office: WT134

Links to relevant web pages:

She# - www.shesharp.co.nz

Qualifications:

  • 2004, Bachelor degree (BSc) in Computer Engineering
  • 2008, Master degree (MSc) in Computer Systems Architecture
  • 2013, Doctorate of Philosophy (PhD) in Computer Engineering, Massey University

Memberships and Affiliations:

  • She#: founder and director – www.shesharp.co.nz
  • Toastmasters International: member
  • IEEE and IEEE Computer Society, member
  • IEEE Education Society, member
  • IEEE Women in Engineering, member
  • Google Anita Borg Scholars Alumni, member
  • Westpac Women of Influence Alumni, member
  • Massey University Graduate Alumni, member
  • New Zealand Technology Industry Association (NZTech), member
  • New Zealand Computer Society (NZCS), member
  • Software New Zealand (NZSA), member
  • New Zealand Education (NZIDRS), member
  • Institution of Professional Engineers New Zealand (IPENZ), member
  • International Association of Computer Science and Information Technology (IACSIT), member

Research Areas:

Natural Language Processing, Machine Translation, Artificial Intelligence, Sensor Networks, Internet of Things

Research outputs:

Journal articles

  • Mohaghegh, M., & McCauley, M. (2016). Computational thinking: The skill set of the 21st century. International Journal of Computer Science and Information Technologies, 7(3). Retrieved from http://ijcsit.com/docs/Volume%207/vol7issue3/ijcsit20160703104.pdf

  • Deylami, H. M., Mohaghegh, M., Sarrafzadeh, A., McCauley, M., Ardekani, I. T., & Kingston, T. (2015). Capture the talent: Secondary school education with cyber security competitions. International Journal in Foundations of Computer Science & Technology, 5(6). doi:10.5121/ijfcst.2015.5606

Conference contributions

  • Ho, K., Liesputra, V., Yongchareon, S., & Mohaghegh, M. (2018). Evaluating social spammer detection systems. In Proceedings of the Australasian Computer Science Week Multiconference 2018. Brisbane, Queensland. doi:10.1145/3167918.3167936

  • Ho, K., Liesapurta, V., Yongchareon, S., & Mohaghegh, M. (2017). A framework for evaluating anti spammer systems for twitter. In On the Move to Meaningful Internet Systems. OTM 2017 Conferences. OTM 2017. Lecture Notes in Computer Science Vol. 10573 (pp. 648-662). Rhodes. Retrieved from https://link.springer.com/chapter/10.1007/978-3-319-69462-7_41

  • Mohaghegh, M., & Sarrafzadeh, A. (2016). Parallel text identification using lexical and corpus features for the English-Maori language pair. In Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications. Anaheim, CA. doi:10.1109/ICMLA.2016.0163

  • Mohaghegh, M. (2016). Parallel text identification using lexical and corpus features for the English-Maori language pair. In 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 910-915). Anaheim, CA: IEEE. doi:10.1109/ICMLA.2016.0163

  • Sosamphan, P., Liesaputra, V., Yongchareon, S., & Mohaghegh, M. (2016). Evaluation of statistical text normalisation techniques for Twitter. In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Volume 1 Vol. 1 (pp. 413-418). Porto: SCITEPRESS. doi:10.5220/0006083004130418

  • Mohaghegh, M., Sarrafzadeh, H., & Mohammadi, M. (2014). Ensemble statistical and heuristic models for unsupervised word alignment. In Proceedings: 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014 (pp. 61-66). Detroit, MI: IEEE (Institute of Electrical and Electronics Engineers). doi:10.1109/ICMLA.2014.15

  • Mohaghegh, M., Sarrafzadeh, A., & Mohammadi, M. (2013). A three-layer architecture for automatic post-editing system using rule-Based paradigm. In The 4th Workshop on South and Southeast Asian NLP (WSSANLP), International Joint Conference on Natural Language Processing (pp. 17-24). : Association for Computational Linguistics. doi:10.13140/RG.2.1.4547.9521

  • Mohaghegh, M., & Sarrafzadeh, A. (2012). A hierarchical phrase-based model for English-Persian statistical machine translation. In 2012 International Conference on Innovations in Information Technology (IIT) (pp. 205-208). Al Ain, Abu Dhabi: IEEE. doi:10.1109/INNOVATIONS.2012.6207733

  • Mohaghegh, M., Sarrafzadeh, A., & Mohammadi, M. (2012). GRAFIX: Automated rule-based post editing system to improve English-Persian SMT. In Proceedings of COLING 2012: Posters (pp. 873-882). Mumbai: ACL. Retrieved from http://www.aclweb.org/anthology/C12-2085

  • Mohaghegh, M., Sarrafzadeh, A., & Moir, T. (2011). Improving Persian-English Statistical Machine Translation: Experiments in Domain Adaption. In The 5th International Joint Conference on Natural Language Processing. Thailand. Retrieved from http://www.ijcnlp2011.org/proceeding/workshop/WS1_WSSANLP/pdf/WSSANLP02.pdf

  • Mohaghegh, M., Sarrafzadeh, A., & Moir, T. (2010). Improved Language Modeling for English-Persian Statistical Machine Translation. In Proceedings of SSST-4, (pp. 75-82). Coling. Retrieved from http://www.aclweb.org/anthology/W10-3810

Reports

  • Mohaghegh, M. (2018). Case Studies of Successful Women Entrepreneurs in the ICT Industry in 21 APEC Economies: Women’s Economic Empowerment and ICT: Capacity Building for APEC Women’s Entrepreneurs in the Age of the 4th Industrial Revolution. Retrieved from https://www.apec.org/

  • Mohaghegh, M. (2018). Economy Report of New Zealand: Profiles of ICT Business and Women Entrepreneurs in APEC Economies. Retrieved from https://www.apec.org/

Theses

  • Mohaghegh, M. (2012). English-Persian phrase-based statistical machine translation: Enhanced models, search and training. (Massey University, Auckland, New Zealand). Retrieved from https://mro.massey.ac.nz/handle/10179/4703

Awards:

  • Semi‐finalist ‐ New Zealander of the Year Awards (2019)
  • Awarded – Lenna Visiting Professor Award from St. Bonaventure University New York Winner – AUT University Vice‐Chancellor’s Diversity Awards (2018)
  • Finalist – New Zealand Women of Influence Awards in Diversity category Semi‐finalist – New Zealander of the Year Awards (2018)
  • Awarded – Google full travel grant to attend Google I/O conference Awarded – Google Computer Science for High Schools workshop funding (2018)
  • Finalist – New Zealand Women of Influence Awards in Innovation and Science, and Diversity categories (2017)
  • Kiwibank New Zealander of the Year 2018 – Semi-Finalist
  • New Zealand selected researcher for Asia-Pacific Women’s Information Network Center (APWINC)(2017)
  • Design and Creative Technologies Special Dean’s Award for service (2017)
  • Nominated finalist in Westpac Women of Influence awards – Diversity category and Innovation and Science category (2017)
  • New Zealander of the Year – nominee (2017 Kiwibank New Zealand Local Hero of the Year category; 2017 Santitarium New Zealand Innovator of the Year category)
  • Westpac Women of Influence finalist – 2016
  • Awarded Google funding for Computer Science for High Schools (Unitec) – 2013–2016
  • Westpac Women of Influence finalist – 2015
  • Selected as Google Asia Pacific Anita Borg Committee member
  • Unitec Chief Executive Award for Exceptional Service
  • Unitec Executive Dean’s Award
  • Westpac Women of Influence finalist and winner – Emerging Leader category – 2013
  • Google Anita Borg Scholarship finalist and winner – 2012
  • Google Anita Borg Scholarship finalist – 2011
  • New Zealand International Student of the Year finalist
  • Massey University Doctoral Scholarship recipient
  • New Zealand International Scholarship recipient (funded by NZ Government, administered by Education New Zealand)