Indu Govinda Pillai

Indu Govinda Pillai

Title: Lecturer
Email: indu@gulfcollege.edu.om
Tel: 24468666
Ext.#: 229

Fields of Interest:

Data Mining, Big Data, Internet of Things, Mobile Computing, Enhancing Education

Education:

M.C.A, Manonmaniam Sundaranar University, Tamil Nadu, India
B.Sc in Physics, Kerala University, Kerala, India

Short Bio:

Ms Indu G is a dedicated and committed teacher having 12 years of teaching experience in graduate and postgraduate levels, skilled and getting updated with the software development tools and providing dynamic and interesting learning environment to the students. She likes to inspire and transform the students in their life in positive ways. She has been part of Gulf College as a lecturer in the Faculty of Computing Sciences since 2011. Since then, she has been introduced to the UK higher education system and have been involved in the academic advising, supervising final year projects, teaching material preparation, course delivery, designing learning and teaching activities, assessment preparation, preparing the feedback, marking and grading the assessments. During these years, she has handled various modules such as Introduction to Web and Database Technologies (in level 3), System Analysis and Design(in level 4), Database and Web Database Systems, Database  Systems, Fundamentals of Mobile Computing, Software Development for Mobile Computing Applications, , Web Database Programming, Web Applications(in level 5) and Strategic Information Management(in level 6). She always embrace challenges and accept to learn continually to be able to train the students in the fast growing IT industry.

Selected Publications:

  • Santiago Halibas, A., Govinda Pillai, I. and Mathew Cherian, A. (2018). Utilization of RFID analytics in assessing student engagement. [online] IEEE Xplore. Available at: http://doi.org/10.1109/IT-DREPS.2017.8277809. [Accessed 24 Apr. 2019].
  • Halibas, A., Cherian Matthew, A., Govinda Pillai, I., Harold Reazol, J., Delvo, E. and Bonachita Reazol, L. (2019). Determining the Intervening Effects of Exploratory Data Analysis and Feature Engineering in Telecoms Customer Churn Modelling. 2019 4th MEC International Conference on Big Data and Smart City (ICBDSC).
  • Govinda Pillai, I., Mathew Cherian, A. & Mohammed,V.1st author, “A Descriptive Comparative Study on Linked Server versus Cloud Computing” in IJITE February 2017 Volume no 26, Number 01, available at http://www.ijite.com/citations/IJITE_26011690.pdf.
  • al Azawi,R., Govinda Pillai,I.,Moghaddas,R., S Cordova,R.(2017), “From E-Learning And M-Learning to Virtual and Augmented Reality: A Comparative Study”, presented at Majan International Conference (MIC) 2017 Muscat, Oman, March 19-20, 2017.