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MS. SUBASHINI RAGHAVAN

School of Computing and Data Science

Subashini Raghavan (2220035).jpg

Biography

Subashini Raghavan has 18 years of industrial experience with multiple MNC companies specialised on Software Testing. She started her career as a lecturer and moved to industrial in 2001. While then she started as Software Engineer with Intel (M) Sdn Bhd and completed her industry career as a Test Consultant with Hewlett-Packard Malaysia Sdn. Bhd.  In 2017, she resumed her academic career as a lecturer. The vast industrial exposure had become an added value in her academic  career.  She continues  to  pursue  her  interest  in  cutting-edge technologies, such as IoT and Machine Learning, as a lecturer.

Research Interest

Software Testing, Software Process Improvement, Data Integration, Machine Learning

Educational Background

  • MSc (IT), University Sains Malaysia (1998)

  • Bsc (Chemistry), University Sains Malaysia (1997)

Working Experience

  • Lecturer, Xiamen University Malaysia, (2017-2019 Part-Time, 2020 Full time -now)

  • Director Of Operations, Spartek Powerhouse Sdn. Bhd (Dec 2009 -Jun 2017)

  • Contractual Test Consultant, Hewlett-Packard Malaysia Sdn. Bhd. (Sep 2009 -Nov 2009)

  • Malaysia Test Practice Lead,  Hewlett-Packard Malaysia Sdn. Bhd. (Mar 2009 -Sep 2009)

  • Asia Pacific -South East Asia Test Manager, EDS (M) Sdn. Bhd (May 2008 -Mar 2009)

  • Group Leader -QA, Testing & Operation Team, Intel (M) Sdn. Bhd (April 2006 -Mar 2008)

  • Software Test Engineer, Intel (M) Sdn. Bhd (Jan 2001 -Mar 2006)

  • Lecturer, Sunway College (1998 -2000)

Representative Publications

  • 2007  -Defect Analysis -An Approach to improve software development life cycle -Software Testing Conference Singapore

  • Data Integration for Smart Cities: Opportunities and Challenges Raghavan, S., Simon, B., Lee, Y., Tan, W. and Kee, K. (2019). Data Integration for Smart Cities: Opportunities and Challenges. Lecture Notes in Electrical Engineering, pp.393-403.

  • Multiple human activity recognition using IOT sensors and machine learning in device free environment: Feature extraction, classification, and challenges: A comprehensive review.

  • Kalimuthu, S., Perumal, T., Yaakob, R., and Marlisah, E., Raghavan, S (2024) AIP Conference Proceedings, 2816(1), 120003