Dr Shailey Chawla ~ Lecturer Information Technology

Dr. Shailey Chawla has been an academic for about 15 years and is currently an adjunct and sessional lecturer in Information Technology at James Cook University. She previously worked at PSB Academy in Singapore where she managed the computer science programmes of Coventry University, UK besides internal programmes. She taught for about 10 years in India at different universities.

Her primary area of research focus and expertise is in Requirements Engineering with an emphasis on improving the understanding of business goals to align them with the system requirements that are then used to design the systems. Her PhD research was on improving the requirements analysis of Web applications using a goal-based approach.

Shailey has multiple research publications in reputed international journals and conferences in this area of work. She also worked as a post-doctoral fellow at Hong Kong Polytechnic University where she did research in the area of big data analysis resulting in a published book chapter and some conference papers. She has been orgnaizing Software Engineering Education workshop (SEED) at Asia Pacific Software Engineering Conference for a few years.

She currently advises students in the areas of human computer interaction, software engineering for novel technologies, data analysis, context specific mobile applications.

Teaching

• CP1401: Problem Solving and Programming I (Level 1; SIN)
• CP2403: Information Processing and Visualisation (Level 2; SIN)
• CP2410: Algorithms and Data Structures (Level 2; SIN)
• CP2421: Machine Learning for Cybersecurity (Level 2; SIN)
• CP3404: Information Security (Level 3; SIN)
• CP3413: Information Processing and Visualisation (Level 3; SIN)
• CP5602: Advanced Algorithm Analysis (Level 5; SIN)
• CP5607: Advanced Human Computer Interaction (Level 5; SIN)
• CP5639: Problem Solving and Programming I (Level 5; SIN)

Interests

Research

• Human Computer Interaction; Mobile applications for social cause; Requirements Engineering for novel technologies; Data Analysis.

Experience

• 2020 to present - Adjunct Lecturer, James Cook University (Singapore)
• 2018 to 2020 - Lecturer, James Cook University (Singapore)
• 2017 to 2018 - Lecturer & Programme Leader B.Sc. Computing (Coventry University,UK), PSB Academy (Singapore)
• 2015 to 2016 - Post Doctoral Fellow, The Hong Kong Polytechnic University (Hong Kong)
• 2012 to 2013 - Visiting Lecturer, University of Delhi (Delhi, India)
• 2002 to 2010 - Assistant Professor, Jagan Institute of Management Studies (Delhi, India)

Research Disciplines

• Software engineering (4612)
• Curriculum and pedagogy (3901)
• Human-centred computing (4608)

Awards

• 2013 - University Grants Commission, India-National Eligibility Test for Lectureship
• 2019 - SGD 6000/- CBLG JCUA and JCUS Cross-collaboration Grant. Lead PI with Dr. Jagdeep Sabharwal(Psychology) and Dr. Breda McCarthy(Business) for project on Mhealth apps usability evaluation with technological, psychological and consumer behavior context.
• 2019 - SGD 6000/- CHS/JCUS cross collaboration grant. PI with Dr. Jagdeep Sabharwal(Psychology) and Dr. Tracey Ahern(Nursing) for project on "Examining psychosocial predictors of compassion fatigue and burnout in healthcare and education sector"

Fellowships

• 2011 to 2013 - UGC Research Scholarship for Meritorious Students

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

• Allana S and Chawla S (in press) ChildShield: a rating system for assessing privacy and security of internet of toys. Telematics and Informatics, , DOI:10.1016/j.tele.2020.101477.
• Thirumaran K, Chawla S, Dillon R and Sabharwal J (2021) Virtual pets want to travel: engaging visitors, creating excitement. Tourism Management Perspectives, 39, Article: 100859, DOI:10.1016/j.tmp.2021.100859..
• Chawla S (2020) Goal oriented requirements engineering for blockchain based food supply chain. International Journal of Software Engineering and Computer Systems, 6 (2), pp. 94-103, DOI:10.15282/ijsecs.6.2.2020.6.0074.
• Chawla S, Srivastava S and Bedi P (2016) Goals and scenarios based web requirements engineering. International Journal of Computer Systems Science and Engineering, 31 (1), pp. 33-51.
• Chawla S, Srivastava S and Bedi P (2015) Improving the quality of web applications with web specific goal driven requirements engineering. International Journal of System Assurance Engineering and Management, 8 (Supplement 1), pp. 65-77, DOI:10.1007/s13198-015-0385-z.

Book Chapters

• Chawla S, Sabharwal J, McCarthy B and Erhardt R (2021) Technology acceptance, social marketing and the design of a mobile health app to support active aging amongst senior citizens in the Asia Pacific region. In: Broadening Cultural Horizons in Social Marketing. Springer Nature Singapore, Singapore, pp. 239-261
• Cao J, Chawla S, Wang Y and Wu H (2017) Programming platforms for big data analysis. In: Handbook of Big Data Technologies. Springer, Cham, Switzerland, pp. 65-99

Conference Papers

• Dillon R, Chawla S, Hristova D, Gobl B and Jovicic S (2020) Password policies vs. usability: when do users go "bananas"? Proceedings of the IEEE 19th International Conference on Trust, Security and Privacy in Computing. In: TrustCom 2020: IEEE 19th International Conference on Trust, Security and Privacy in Computing, 29 December 2020 - 1 January 2021, Guangzhou, China
• Sabharwal J and Chawla S (2020) A G-READY model to support subject design for software engineering. CEUR Workshop Proceedings. In: SEED 2020: 3rd Software Engineering Education Workshop 2020, 1 December 2020, Online Event
• Chawla S (2019) Collaborative learning strategies in software engineering course. Proceedings of the 2nd Software Engineering Education Workshop. In: SEED 2019: 2nd Software Engineering Education Workshop, 2-4 December 2019, Putrajaya, Malaysia
• Uddamvathanak R, Feng Y, Xulei Y, Das A, Shen Y, Salahuddin M, Hussain S and Chawla S (2018) Two-stage ensemble of Deep Convolutional Neural Networks for object recognition. Proceedings of the IEEE International Conference on Intelligent Rail Transportation. In: ICIRT 2018: IEEE International Conference on Intelligent Rail Transportation, 12-14 December 2018, Singapore
• Lu H, Cao J, Chawla S, Wang Y, Lv S and Wang X (2016) A cluster based approach for task scheduling across multiple programming systems. Proceedings of the 15th International Symposium on Parallel and Distributed Computing. In: ISPDC 2016: 15th International Symposium on Parallel and Distributed Computing, 8-10 July 2016, Fuzhou, China

More

ResearchOnline@JCU stores 19+ research outputs authored by Dr Shailey Chawla from 2010 onwards.

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.