Dr Mahsa Mohaghegh

profile image

Director of Women in Technology

Email: mahsa.mohaghegh@aut.ac.nz

ORCID: ORCID logo https://orcid.org/0000-0003-2228-8300

Links to relevant web pages:

Academic appointments:

  • Director of Women in Technology, AUT, Faculty of Design and Creative Technologies (2020 - ongoing)
  • Senior Lecturer, School of Engineering -Computer and Mathematical Sciences, Auckland University of Technology, AUT (2018 - ongoing)
  • Lecturer, AUT (2017 - 2018)
  • Academic Leader, Unitec Institute of Technology (2016 - 2017)
  • Senior Lecturer, Unitec Institute of Technology (2015 - 2017)
  • Outreach Development Manager, Unitec Institute of Technology (2014 - 2016)
  • Program Leader, Unitec Institute of Technology (2013 - 2014)
  • Lecturer, Unitec Institute of Technology (2010 - 2015)

Qualifications:

  • PhD, Massey University
  • MSc, Iran University of Science and Technology

Overview:

Computer Engineer. AI subject matter expert. Advocate for diversity in tech. Founder/director of She#.

Dr Mahsa Mohaghegh is a computer engineer with a broad background in technology, and an active researcher in internet of things, AI, and machine learning technologies. She is an advocate for taking early action to prepare for the digital disruption that is impacting every industry sector. She is also the founder and director of She# (www.shesharp.co.nz), the women’s networking and learning group aimed at supporting women, and closing the gender gap in technology.

Mahsa has significant experience in programme and project management, team leadership, funding acquisition and stakeholder management. She has been widely recognised in her community engagement work with She#, and for the past three years has been a semi-finalist for New Zealander of the Year.

Mahsa is a passionate, results-driven problem-solver, and a respected manager, mentor, and supervisor. She has an energetic and driven approach to management, and a sound ability to maintain a clear view of programme and project objectives.

Research interests:

Internet of Things, Natural Language Processing, Machine Translation, Artificial Intelligence, Information systems, Future of Works and Education

Teaching summary:

Mahsa currently works as a senior lecturer in AUT University’s School of Engineering, Computer and Mathematical Sciences. This role includes course leadership and teaching, course and paper development, research, postgraduate supervision, and community outreach.

Within course leadership and teaching, Mahsa is responsible for:
- Coordinating and teaching various computer science papers
- Leading the development of new courses and papers
- Updating papers with new material to reflect technology advancement
- Liaising with industry partners and ensuring course relevance with industry standard
- Forming new partnerships within the industry

Fields of research:

  • Artificial Intelligence and Image Processing
  • Natural Language Processing
  • Computer System Security
  • Software Engineering
  • Ubiquitous Computing
  • Information Systems
  • Knowledge Representation and Machine Learning

Professional activities:

Featured professional activities

  • Founder and Director, She Sharp https://www.shesharp.co.nz/ (2014 - ongoing)

Appointment, affiliation, and membership

  • Member, Global Women (2019 - ongoing)
  • Technical Advisory board, The Story Mint (2019 - ongoing)
  • Technical Advisory board, Aider. AI (2018 - ongoing)
  • Fellow, The Higher Education Academy (2018 - ongoing)
  • Industry Advisory board, EDENZ (2017)
  • Member, STEM-TEC (2017 - ongoing)
  • Member, AUT Data Science Research Group (2017 - ongoing)
  • Member, EEE Internet of Things Community (2017 - ongoing)
  • Member, IEEE Women in Engineering (2017 - ongoing)
  • Member, IEEE Education Society (2017 - ongoing)
  • Member, IEEE Computer Society (2016 - ongoing)
  • Member, New Zealand Technology Industry Association (NZTech) (2015 - ongoing)
  • Founder and Director, She Sharp https://www.shesharp.co.nz/ (2014 - ongoing)
  • President (Former VP Membership), Toastmasters International (2014 - 2018)
  • Aumni, Westpac Women of Influence (2013 - ongoing)
  • Alumni, Google Anita Borg Scholars (2012 - ongoing)
  • Alumni, Google Women Techmakers (2012 - ongoing)

Award, prize, fellowship, and scholarship

  • Distinguished Alumni Service Award, Massey University (2020)
  • YWCA Equal Pay Champion Award, YWCA Aoteroa New Zealand (2019)
  • Small Organisation Excellence Award, Diversity Works (2019)
  • Google Educator Grant, Google (2019)
  • Certificate of Achievement Kiwibank Local Hero, New Zealander of the Year Awards (2019)
  • Callaghan Innovation R&D Fellowship, Callaghan Innovation (2018 - 2021)
  • Vice‐Chancellor’s Diversity Award, AUT University (2018)
  • Finalist - Diversity category, Westpac New Zealand Women of Influence Awards (2018)
  • Lenna Visiting Professor Award, St. Bonaventure University, New York (2018)
  • Semi‐finalist, New Zealander of the Year Awards (2018)
  • Full travel grant to attend Google I/O conference, Google (2018)
  • Finalist - Innovation and Science category and the Diversity category, Westpac Women of Influence Awards (2017)
  • Design and Creative Technologies Special Dean’s Award for Service, AUT University (2017)
  • Certificate of Achievement Sanitarium New Zealand Innovator of the year, New Zealander of the Year Awards (2017)
  • Finalist – Not for Profit category, New Zealand Women of Influence Awards (2016)
  • Full travel grant to attend the Grace Hopper Conference in Houston, Texas, Google (2015)
  • Full travel grant to attend the Grace Hopper Conference in Phoenix, Arizona, Google (2014)
  • CS4HS (Computer Science for High Schools) Grant, Google (2013 - 2019)
  • Executive Dean’s Award for research excellence, Unitec (2013)
  • Chief Executive Award for Exceptional Service, Unitec Institute of Technology (2013)
  • Winner - Emerging Leader category, Westpac New Zealand Women of Influence Awards (2013)
  • Winner - Google’s Anita Borg Memorial Scholarship Award, Google (2012)
  • Funding from the Unitec Research Committee for the development of speech recognition and translation software for Maori and English, Unitec (2012)
  • Finalist - Google Anita Borg Scholarship, Google (2011)
  • New Zealand Government International Doctoral Scholarship, New Zealand Educated (2009 - 2013)
  • Vice Chancellor full Doctoral Scholarship, Massey University (2008 - 2012)

Editorship, reviewing, examining, and judging

  • Technical Program Committee, International Conference on Artificial Intelligence and Big Data - ICAIBD (2019)
  • Industry Advisory Panel, AMES IT (2018)
  • Reviewer, International Journal of Intelligent Systems Technologies and Applications (2018)
  • External Moderator, ICL Education limited (2018)
  • External examiner for Master of Applied Practice (Technological Futures), Tech Future Labs (2018 - ongoing)
  • Technical program committee for Computing Track, International Japan-Africa Conference on Electronics, Communications and Computations -JAC-ECC2018 (2018)
  • External Moderator, Techschool at NZSE (New Zealand School of Education) (2018)
  • Technical program Committee, International Conference on Artificial Intelligence and Big Data - ICAIBD (2018)
  • External Moderator, Tech Futures Lab (2018 - ongoing)
  • Publicity Chair and organising committee, Sixth International Conference on Learning and Teaching in Computing and Engineering- LATiCE (2018)
  • Editorial board, Interdisciplinary Journal of Virtual Learning in Medical Sciences (2018 - ongoing)
  • Reviewer, GCSB Tertiary Scholarship for Women Studying STEM (2018)
  • Technical program committee, International Japan-Africa Conference on Electronics, Communications and Computations -JAC-ECC (2017)
  • Judging, MYOB National IT challenge (2017)
  • Technical Program Committee, IEEE International Conference of Online Analysis and Computing Science (2016)
  • Technical programme committee, ICOACS (IEEE International Conference of Online Analysis and Computing) (2016)
  • Organising committee, WSSANLP -Workshop on South and Southeast Asian Natural Language Procesing (2016)
  • External judge for, Xero Xplore (2015)
  • Judging, ASB BrightSparks (2015)

Facilitation, networking and collaboration

  • Chair and Organiser, Computer Science for High Schools workshop (2013 - 2019)

Contribution to academic environment

  • Engineering school academic representative at DCT Faculty board member, Design and Creative Technology (2018)
  • Interview and article focusing on work in promoting STEM fields to females, Profile by MBIE Curious Minds (2018)
  • Interview and article covering work in promoting STEM fields to females, Jagger International magazine - Success profile (2018)
  • Selected as a contributor for the MYOB Diversity and Women in Tech report, MYOB (2018)
  • Interview – “What can we do to encourage more women to consider tech careers in New Zealand and to promote inclusivity?"”, Idealog (2018)
  • Interview- “Meet the women breaking up the boys' club that is the tech sector”, Stuff.co.nz (2018)
  • Article contributor – “Women first to be affected by technological disruption, expert says”, Stuff.co.nz (2018)
  • Selected as one of the NZ engineers to be part of the project, InKind Rosie Revere Campaign (2018)
  • Visiting Scholar - Participated in the Global Faculty program 2016 -Technologico de Monterrey, Technologico de Monterrey n Mexico. (2016)

Other professional recognition

  • Selected to attend NZWiL: Discipline Pod Programme, AUT (2018)
  • Selected scholar to attend Science Media SAVVY workshop, (2018)
  • Selected to attend IGNITE Leadership Programme for Women, (2017)
  • New Zealand selected researcher, Asia-Pacific Women’s Information Network Center (APWINC) (2017)

Outreach and engagement

  • MOTAT Super STEM Fair (2019)
  • MOTAT Super STEM Fair (2018)
  • NZ Govt. Ministry for Women interview and profile – work in promoting STEM fields to females (2017)
    http://women.govt.nz/leadership/inspiring-women/dr-mahsa-mohaghegh
  • The IT Girls Day – Long Bay College (2017)
    Covered by Stuff.co.nz article – “Girls explore IT careers on Auckland's North Shore” https://www.stuff.co.nz/auckland/local-news/north-shore-times/94367012/girls-explore-it-careers-on-aucklands-north-shore

Invitation to present research

  • Panelist, Inspiring Women in Tech - MYOB -Techweek (2019)
  • Panelist, " Is your Career code Complaint?" - Tech Futures Lab (2019)
  • Keynote Speaker, "The Future of Work,How AI makes work, work better" - Innovation Nation Talk (2019)
  • Keynote Speaker, "Will robots replace teachers?" - AI Day (2019)
  • Keynote Speaker, "Balance for Better" - International Women's Day event, Spark (2019)
  • Invitation as Inaugural Guest Speaker, Rangitoto College's Wahine Aotearoa Science and Business Club (2018)
  • Panelist, " What are the major challenges facing New Zealand and what are the technical engineering solutions to help address them."- Engineering New Zealand Innovation Summit (2018)
  • Panelist, “The Impact of AI on People and Society Panel” , AI Day (2018)
  • Panelist, “Achieving Equilibrium - A Conversation About Gender Equality in the Stem Sectors” , British High Commission to New Zealand: Diversity Event (2018)
  • Panellist on “Showing Up as a Leader with Authenticity and Influence”, Womens’ Leadership Symposium (2018)
  • Chair of AI stream, CIO Summit ,Auckland (2018)
  • Panellist, " Exploring some of the wider implications and effects of AI as it begins to influence" AIShow at IBM (2018)
  • Q&A panel with industry experts - 'How did I get here?', She Loves Data event: (2018)
  • Panellist, Empowering youth to design their own learning pathways through technology , CONFERENZ : NZ Education and Technology Summit (2018)
  • Panellist, Randstad Leadership Conference (2018)
  • Keynote Speaker, MUV talks (2017)
  • Panelist, Workforce transformation – "The rise of new opportunities and how we will develop and support teams through this change" , NZ Cognitive Computing for Business Forum (2017)
  • Panellist, "Future of STEM, stereotyping, and imposter syndrome faced by women in technology "– TechWeek17 (2017)
  • Panelist, "Exploring the current gender ratio in tech", TechWeek17 (2017)

Research outputs:

Featured research outputs

  • Mohaghegh, M., & Pang, Z. (2018). A four-component people identification and counting system using deep neural network. In Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018 (pp. 10-17). Nadi. doi:10.1109/APWConCSE.2018.00011

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

  • Mohaghegh, M., & Pang, Z. (2018). A four-component people identification and counting system using deep neural network. In Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018 (pp. 10-17). Nadi. doi:10.1109/APWConCSE.2018.00011

  • 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., Manford, C., & Sarrafzadeh, A. (2011). Cross-layer optimisation for quality of service support in wireless sensor networks. In 2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011 (pp. 528-533). doi:10.1109/ICCSN.2011.6014950

  • Mohaghegh, M., & Sarrafzadeh, A. (2011). An overview of the challenges and progress in PeEn-SMT: First large scale Persian-English SMT system. In 2011 International Conference on Innovations in Information Technology, IIT 2011 (pp. 319-323). doi:10.1109/INNOVATIONS.2011.5893841

  • 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

  • Mohaghegh, M., & Sarrafzadeh, A. (2010). Performance Evaluation of Statistical English-Persian Machine Translation. In 10th International Conference on Statistical Analysis of Textual Data.. Sapienza. Retrieved from http://www.ledonline.it/

  • Mohaghegh, M., & Sarrafzadeh, A. (2009). An analysis of the effect of training data variation in English-Persian statistical machine translation. In 2009 International Conference on Innovations in Information Technology, IIT '09 (pp. 105-108). doi:10.1109/IIT.2009.5413782

  • Mohaghegh, M., Sarrafzadeh, A., & IEEE. (2009). An analysis of the effect of training data variation in English-Persian Statistical Machine Translation. In 2009 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION TECHNOLOGY (pp. 51-+). Retrieved from http://gateway.webofknowledge.com/

Reports

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

  • 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/

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