Dr Vala Ali Rohani
Research Associate
School of Computer Science and Information Technology
College of Engineering and Information Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
Dr Vala Rohani is a Research Associate at the Industrial AI Research Centre at the University of South Australia (UniSA), a postgraduate course coordinator in Artificial Intelligence, and a seasoned Chief Data Scientist with over 15 years of international experience in AI and Data Science across academia, industry, and government. He was granted Australian permanent residency through the prestigious Global Talent (Distinguished Talent) program in recognition of his leadership and impact in the global AI landscape.
Dr Rohani has led and managed large-scale AI and data science initiatives across Europe and Asia, overseeing international teams and high-impact projects. He has played a pivotal leadership role in European Commission-funded programs, particularly under the EIT Deep Tech Talent initiative, contributing to strategic frameworks for AI education, talent development, and digital innovation across the EU.
He continues to serve in executive and advisory roles, driving AI strategy and data-driven transformation across sectors such as finance, supply chain and logistics, manufacturing, and education. His technical expertise spans intelligent automation, generative AI workflows, agentive AI systems, social media analytics, recommender systems, financial data analysis, AI automation pipelines, ETL pipeline design, data governance, and the development of robust, scalable data systems for real-world applications.
In academia, Dr Rohani has played a leading role in the design, coordination, and delivery of postgraduate and executive education programs in Artificial Intelligence and Data Science at prominent institutions across multiple countries. He has spearheaded international talent discovery and upskilling initiatives, contributing to large-scale educational frameworks aimed at addressing global AI skill shortages. His work includes the development of micro-credential programs, modular training content, and industry-aligned learning pathways that support digital transformation across sectors. Through his involvement in European Commission-backed initiatives and cross-border academic partnerships, Dr Rohani has helped shape the next generation of AI professionals and fostered sustainable, future-ready talent pipelines on a global scale.
He has authored more than 20 peer-reviewed publications in reputable journals and international conferences. His research interests include applied AI, agentive workflows, recommender systems, social media analytics, applied machine learning, anomaly detection, and industrial analytics.
Widely respected for his strategic vision, technical depth, and people-centred leadership, Dr Rohani remains at the forefront of global AI advancement through research, education, and innovation partnerships.
| Year | Citation |
|---|---|
| 2022 | Rohani, V. A., Peerally, J. A., Moghavvemi, S., Guerreiro, F., & Pinho, T. (2022). Illustrating scholar-practitioner collaboration for data-driven decision-making in the optimization of logistics facility location and implications for increasing the adoption of AR and VR practices. TQM Journal, 34(2), 280-302. Scopus12 |
| 2014 | Kumar, S., Rohani, V. A., & Ratnavelu, K. (2014). International research collaborations of ASEAN Nations in economics, 1979–2010. Scientometrics, 101(1), 847-867. Scopus25 |
| 2014 | Rohani, V. A., Kasirun, Z. M., Kumar, S., & Shamshirband, S. (2014). An effective recommender algorithm for cold-start problem in academic social networks. Mathematical Problems in Engineering, 2014(1). Scopus32 |
| 2014 | Shamshirband, S., Anuar, N. B., Kiah, M. L. M., Rohani, V. A., Petković, D., Misra, S., & Khan, A. N. (2014). Co-FAIS: Cooperative fuzzy artificial immune system for detecting intrusion in wireless sensor networks. Journal of Network and Computer Applications, 42, 102-117. Scopus93 |
| 2014 | Tamjidyamcholo, A., Bin Baba, M. S., Shuib, N. L. M., & Rohani, V. A. (2014). Evaluation model for knowledge sharing in information security professional virtual community. Computers and Security, 43, 19-34. Scopus94 |
| 2014 | Abrizah, A., Erfanmanesh, M., Rohani, V. A., Thelwall, M., Levitt, J. M., & Didegah, F. (2014). Sixty-four years of informetrics research: productivity, impact and collaboration. Scientometrics, 101(1), 569-585. Scopus29 |
| 2013 | Erfanmanesh, M., Rohani, V. A., BasirianJahromi, R., & Gholamhosseinzadeh, Z. (2013). Investigating scientific collaboration of Iranian psychology and psychiatry researchers. Iranian Journal of Information Processing Management, 29(1), 137-163. Scopus3 |
| 2012 | Erfanmanesh, M., Rohani, V. A., & Abrizah, A. (2012). Co-authorship network of scientometrics research collaboration. Malaysian Journal of Library and Information Science, 17(3), 73-93. Scopus61 |
| Year | Citation |
|---|---|
| 2016 | Rohani, V. A., Shayaa, S., & Babanejaddehaki, G. (2016). Topic modeling for social media content: A practical approach. In 2016 3rd International Conference on Computer and Information Sciences Iccoins 2016 Proceedings (pp. 397-402). IEEE. DOI Scopus33 |
| 2015 | Rohani, V. A., & Shayaa, S. (2015). Utilizing machine learning in Sentiment Analysis: SentiRobo approach. In 2nd International Symposium on Technology Management and Emerging Technologies Istmet 2015 Proceeding (pp. 263-267). IEEE. DOI Scopus10 |
| 2015 | Husain, M. M., Jalab, H. A., & Rohani, V. A. (2015). Optimized-memory map-reduce algorithm for mobile learning. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 9429 (pp. 249-256). Springer International Publishing. DOI Scopus1 |
| 2014 | Rohani, V. A., Kasirun, Z. M., & Ratnavelu, K. (2014). An enhanced content-based recommender system for academic social networks. In Proceedings 4th IEEE International Conference on Big Data and Cloud Computing Bdcloud 2014 with the 7th IEEE International Conference on Social Computing and Networking Socialcom 2014 and the 4th International Conference on Sustainable Computing and Communications Sustaincom 2014 (pp. 424-431). IEEE. DOI Scopus15 |
| 2013 | Rezaei, A., Kasirun, Z. M., Rohani, V. A., & Khodadadi, T. (2013). Anomaly detection in online social networks using structure-based technique. In 2013 8th International Conference for Internet Technology and Secured Transactions Icitst 2013 (pp. 619-622). IEEE. DOI Scopus18 |
| 2012 | Rohani, V. A., & Ow, S. H. (2012). A framework for e-content generation, management and integration in MYREN network. In Lecture Notes in Electrical Engineering Vol. 157 LNEE (pp. 293-298). Springer Berlin Heidelberg. DOI Scopus1 |
| 2011 | Rohani, V. A., & Ow, S. H. (2011). Eliciting essential requirements for social networks in academic environments. In Isci 2011 2011 IEEE Symposium on Computers and Informatics (pp. 171-176). IEEE. DOI Scopus7 |
Courses I teach
- INFS 5102 Unsupervised Methods in Analytics (2025)
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