Position: Assistant Professor
School: School of Mathematical & Computing Science
Email: bimal.kumar@fnu.ac.fj
Campus: Natabua Campus – Lautoka
Phone: 6667355 ext. 7031

Biography:

Dr. Bimal A Kumar is an Assistant Professor in the department of computer science and information systems.

Qualification:

• Phd (Computing Science)

Area of Expertise:

• Software Engineering (Software Design and Architecture, Software Testing)
• Human Computer Interaction (Usability Heuristics, Usability Guidelines)
• Applied AI (Machine Learning, Natural Language Processing)

Journals:

• Kumar, B. A., (2024). Towards Design Science Methodology for Mobile Learning Applications Interactive Learning Environments, 32(7), pp. 3840-3854. Taylor & Francis.
  [Scopus: Q1]
• Kumar, B.A. and Chand, S.S. (2024), “Design and validation of a usability evaluation questionnaire (UEQ) for mobile learning applications”, Interactive Technology and Smart Education, 21(3) pp. 426-441. Emerald.
  [Scopus: Q1]
• Chand, S. S., Kumar, B. A. (2024), “Investigating Mobile Blended Learning Adoption with Usability Factors: An Empirical Study”, Interactive Technology and Smart Education. pp 1-20. Emerald.
  [Scopus: Q1]
• Chand, S. S., Kumar, B. A. (2024). Applying the UTAUT Model to Understand M-Payment Adoption. A Case Study of Western Part of Fiji. Journal of Knowledge Economy (JKEC). pp 1-15 Springer.
  [Scopus: Q1]
• Kumar, B. A., Chand, S. S., & Goundar, M.S. (2024). Usability Testing of Mobile Learning Applications: A Systematic Mapping Study. International Journal of Information and Learning Technology, 41(2) pp. 113-129. Emerald.
  [Scopus: Q1]
• Goundar, M. S., Kumar, B. A., & Ali, ABM Shawkat (2024). Development of Usability Guidelines: A Systematic Literature Review, International Journal of Human Computer Interaction. 40(5), 1298-1316. Taylor & Francis.
  [Scopus: Q1]
• Sharma, S., Lal, R., & Kumar, B. A. (2024). Developing Mobile Machine Learning Application For Early Cardiovascular Disease Risk Detection In Fiji: A Design Science Approach. Applied Computer Science (1895-3735), 20(3).
  [Scopus: Q3]
• Kumar, B. A., & Goundar, M. S. (2023). Developing mobile language learning applications: a systematic literature review. Education and Information Technologies, 28(5), 5651-5671. Springer.
  [Scopus: Q1]
• Goundar, M. S., Kumar, B. A., Chand, S.S., Chand, R. (2023). Mobile Learning for Preschoolers: A Systematic Literature Review. International Journal of Mobile Learning and Organisation, 15(4), 223-237. Inderscience.
  [Scopus: Q1]
• Chand, S. S., Kumar, B. A., Goundar, M. S., & Narayan, A. (2022). Extended UTAUT Model for Mobile Learning Adoption Studies. International Journal of Mobile and Blended Learning (IJMBL), 14(1), 1-20. IGI Global.
  [Scopus: Q2]
• Kumar, B. A., & Goundar, M. S. (2022). Kid-learn: A mobile language learning application for pre-schoolers. International Journal of Virtual and Personal Learning Environments (IJVPLE), 12(1), 1-16.
  [Scopus: Q3]
• Kumar, B. A., Sharma, B., & Nakagawa, E. Y. (2022). Architectural Support for Context-Aware Mobile Learning Applications. Education and Information Technologies, 27(6), 3723-3741. Springer.
  [Scopus: Q1]
• Goundar, M. S., & Kumar, B. A. (2022). The use of mobile learning applications in higher education institutes. Education and Information Technologies, 27(4), 1213-1236. Springer.
  [Scopus: Q1]
• Kumar, B. A., Sharma, B., & Nakagawa, E. Y. (2021). Context-aware mobile learning: A systematic mapping study. Education and Information Technologies, 26(11), 2033-2052. Springer.
  [Scopus: Q1]
• Kumar, B. A., Goundar, M. S., & Chand, S. S. (2020). A framework for heuristic evaluation of mobile learning applications. Education and Information Technologies, 25(4), 3189-3204. Springer.
  [Scopus: Q1]
• Kumar, B. A., & Sharma, B. (2020). Context-aware mobile learning application development: A systematic literature review. Education and Information Technologies, 25(3), 2241-2259. Springer.
  [Scopus: Q1]
• Kumar, B. A., & Chand, S. S. (2020). Mobile App to Support Teaching in Distance Mode at Fiji National University: Design and Evaluation. In Mobile Devices in Education: Breakthroughs in Research and Practice (pp. 642-655). IGI Global Scientific Publishing.
  [Scopus: Q4]
• Kumar, B. A., Goundar, M. S., & Chand, S. S. (2019). Usability guideline for mobile learning applications: An update. Education and Information Technologies, 24(6), 3537-3553. Springer. [Scopus: Q1]
• Kumar, B. A., & Goundar, M. S. (2019). Usability heuristics for mobile learning applications. Education and Information Technologies, 24(2), 1819-1833. Springer.
  [Scopus: Q1]
• Kumar, B. A., & Chand, S. S. (2019). Mobile learning adoption: A systematic review. Education and Information Technologies, 24(1), 471-487. Springer.
  [Scopus: Q1]
• Dubey, A. D., & Kumar, B. A. (2019). A novel cognitive approach for measuring the trust in robots. Journal of Information Technology Research (JITR), 12(3), 60-73. IGI Global.
  [Scopus: Q3]
• Kumar, B. A., & Mohite, P. (2016). Usability guideline for mobile learning apps: An empirical study. International Journal of Mobile Learning and Organisation, 10(4), 223-237. Inderscience. [Scopus: Q2]
• Kumar, B. A., & Mohite, P. (2015). Cognitive trust model for B2B E-market: Design and implementation. International Journal of E-Business Research (IJEBR), 11(4), 32-46. IGI Global.
  [Scopus: Q2]
• Kumar, B. A., Kumar, I., & Hussein, S. (2015). Usability study of online human resource information systems at Fiji National University: A case study. Asian Journal of Information Technology, 14(1), 42-48.
  [Scopus: Q4]

Conference:

• S. Sharma, R. Lal and B. A. Kumar, “Machine Learning for Early Detection of Cardiovascular Disease in Fiji,” 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). pp. 1-6. IEEE.
• Kumar, B. A., Sharma, B., & Nakagawa, E. Y. (2020). Ref-CAMLA: A reference architecture for context aware mobile learning applications. Paper presented at the 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 1-4.IEEE.
• Kumar, B., & Dubey, A. D. (2017). Evaluation of trust in robots: A cognitive approach. Paper presented at the 2017 International Conference on Computer Communication and Informatics (ICCCI), 1-6.IEEE.
• Kumar, B. A. (2015). Cognition based trust model for B2B E-market. Paper presented at the 2015 1st International Conference on Next Generation Computing Technologies (NGCT), 703-707.IEEE
• Kumar, B. A. (2015). Context aware service selection and its application to medical emergency. Paper presented at the 2015 1st International Conference on Next Generation Computing Technologies (NGCT), 708-712.IEEE
• Kumar, B. A. (2015). Ontology based data model for context aware mHealth application. Paper presented at the 2015 1st International Conference on Next Generation Computing Technologies (NGCT), 274-279.IEEE.
• Kumar, B. A. (2014). Layered architecture for mobile web based applications. Paper presented at the Asia-Pacific World Congress on Computer Science and Engineering, 1-6. IEEE.
• Dai, X., & Kumar, B. A. (2010). Comparing and contrasting campus information systems in south pacific regional universities. Paper presented at the 2010 International Conference on Computational and Information Sciences, 721-724.IEEE

Teaching interest:

• Programming (C#, Java, Python)
• Data Structures and Algorithms
• Internet and Web Programming
• Software Design and Architecture
• Software Testing
• Human Computer Interaction
• Machine Learning

Research interest:

• Software Engineering
• Human Computer Interaction
• Applied AI