Avinash Shankaranarayanan

Assistant Professor

Ph.D. Bio-computational Modeling, Ritsumeikan University, Japan.

Research areas

Big Data, IoT, AI and Multi-Agents, Machine Learning, Deep Learning, Data Science


  • Profile
  • Publications
  • Research & Teaching


Ph.D. Bio-computational Modeling, Ritsumeikan University, Japan.

Honorary Positions

Visiting Professor, IFaS, Trier University, Germany

Visiting Professor, VELS University, India

Selected Experience

Professor, Dept. Computer Science, VELS University

Assistant Professor, Computer Science, VELS University

Head of Research & International Student Exchange, India: VELS University, Chennai, India.

Academic/Coordinator, School of Business Innovation (Business IT and Logistics), Royal Melbourne Institute of Technology, Australasia.

PhD Scholar/Adjunct Researcher/Academic, Ritsumeikan Asia Pacific University, Japan.

Program Head & Senior Academic (Lecturer/Manager Level A1), Singapore: School of Technology and E-learning, Management Institute of Singapore.

Adjunct Lecturer and Research Associate, Griffith University, Dept. Health Informatics and Genomics, Gold Coast, Australia.


Building Your Zillion Dollar App Empire: Secrets of Becoming a Successful Appreneur, (2020). Avinash Shankaranarayanan & Christine Amaldas, TJ Press, Approved by The National Library Board, Singapore, ISBN: 978-981-14-7633-4.

Big Data Universe: Business Analytics Using Data Science (2020)., Avinash Shankaranarayanan & Christine Amaldas, TJ Press, Approved by The National Library Board, Singapore, ISBN: 978-981-14-7634-1.

Shankaranarayanan et al., (2019). Interlinkages in Agro Supply Chains: An Empirical Investigation on Joint Socio-knowledge Development. Asian Journal of Agriculture and Development, 16(1), 77–92, [SSCI: Q3].

Shankaranarayanan et al., (2018)., Cultural Values, the Balanced Scorecard and Perceived Organizational Performance - Thai Hotel Perspective, Journal of Travel and Tourism Research Association (TTRA) Asia Pacific Chapter.

Shankaranarayanan et al., (2018)., Does the Attainment of Green Certification Ordain Manufacturing Performance? Belt & Road Initiative (BRI) Conference, 2018, RMIT University Vietnam.

Shankaranarayanan et al., (2018)., Leveraging information exchange to enhance performance through joint knowledge development: an empirical investigation in Vietnamese Agricultural Supply Chains, Journal of International Food & Agribusiness Marketing.

Shankaranarayanan et al., (2018), Customer Green Orientation and Process Innovation: An Empirical Study in Vietnamese Manufacturing Industry, The International Congress on Logistics and SCM Systems (ICLS 2018).

Shankaranarayanan et al., (2016)., Innovations in Education using Gamification: A Case on Vietnamese Tertiary Institutions, Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS): 15-20. (WorldComp’16).

Shankaranarayanan et al.,(2016)., Parallel Transcoding Using the CA-Cloud Architecture, Proceedings of the 22nd International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA’16: July 25-28, 2016, Las Vegas, USA), Athens: The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp’16).

Amaldas, C., Shankaranarayanan, A., & Gemba, K. (2013a). An Empirical Analysis of Faculty Performance and Perspectives in Japanese Business Schools. International Journal of Management and Information Technology, 4(1), 179–189, Impact factor: 0.91.

Amaldas, C., Shankaranarayanan A., and Gemba K., (2013b), “CA-Broker - A Cloud based Brokering Mechanism for Multi-Agent Intelligent Computing”, The International Journal of The GRID, vol. 4, pp. 09-33. ISSN: 2301-329X.

Research & Teaching

Research Interests

Big Data, IoT, AI and Multi-Agents, Machine Learning, Deep Learning, Data Science, Bio-computational Modeling,

Renewable Energy Systems, Bioinformatics, High Performance Computing, Social Analytics and Parallel & Distributed/Mobile Architectures,

Grids and Supercomputing Design, Business Innovation & Technopreneurship.