Ms Kongaha Kankanamge Achala Perera
Higher Degree by Research Candidate
School of Management
College of Business and Law
I am a PhD Researcher at the Centre for Sustainable Operations and Resilient Supply Chains (CSORSC), Adelaide University. My research focuses on advancing sustainable and resilient supply chains through data-driven approaches, with particular interests in circular economy, circular supply chains, artificial intelligence, and forecasting.
Prior to commencing my PhD, I worked as a Lecturer in the Department of Supply Chain and Operations Management at SLTC Research University and as a Teaching Assistant and Research Scholar in the Department of Transport Management and Logistics Engineering, Faculty of Engineering, University of Moratuwa. I also gained industry experience through an internship at Softlogic Retail Holdings (Pvt) Ltd.
My research interests lie at the intersection of supply chain management, sustainability, and data analytics, with an emphasis on developing evidence-based approaches to address complex supply chain challenges and support the transition towards a circular economy.
| Date | Position | Institution name |
|---|---|---|
| 2025 - 2026 | Lecturer | Sri Lanka Technology Campus |
| 2024 - 2024 | Research Scholar | University of Moratuwa |
| 2023 - 2024 | Instructor | Univeristy of Moratruwa |
| 2022 - 2022 | Supply Chain and Logistics Intern | Softlogic Retail Holdings (Pvt) Limited |
| 2018 - 2018 | Purchasing Intern | Raigam Group |
| Date | Type | Title | Institution Name | Country | Amount |
|---|---|---|---|---|---|
| 2026 | Research Award | 1st Runner-up - IASSL Best Research Awards 2025 – Postrgraduate Category | Institute of Applied Statistics Sri Lanka (IASSL) | Sri Lanka | - |
| 2024 | Research Award | Travel Award to The 44th International Symposium On Forecasting - 2024 | 44th International Symposium on Forecasting Organized by International Institute of Forecasters | France | - |
| 2021 | Achievement | Express Logistics Challenge - Quiz - 2021 | NSBM Green University | Sri Lanka | - |
| 2021 | Achievement | KDU Logistics Challenge - Case study - 2021 | Technical Sciences and Management Society of KDU | Sri Lanka | - |
| Language | Competency |
|---|---|
| English | Can read, write, speak, understand spoken and peer review |
| Sinhala; Sinhalese | Can read, write, speak, understand spoken and peer review |
| Tamil | Can read and write |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2026 | Adeliade University | Australia | PhD |
| 2023 - 2025 | Department of Transport Management and Logistics Engineering, Univeristy of Moratuwa | Sri Lanka | Masters by Research |
| 2018 - 2023 | Department of Transport Management and Logistics Engieering, Univeristy of Moratuwa | Sri Lanka | B.Sc. (Hons) in Transport and Logistics Management |
| Date | Title | Institution name | Country |
|---|---|---|---|
| 2026 | REDCAP101: Data Capture and Surveys with REDCap | Intersect | Australia |
| 2026 | Introduction to Machine Learning using Python: SVM & Unsupervised Learning | Intersect | Australia |
| 2021 | Machine Learning Foundations: A Case Study Approach | University of Washington | United States |
| Year | Citation |
|---|---|
| 2025 | Athapattu, T., Thibbotuwawa, A., Perera, A. H., & Nielsen, I. (2025). Neural Network-Driven Big Data Analytics for Marine Fish Price Forecasting. IFAC-PapersOnLine, 59(10), 2118-2123. |
| Year | Citation |
|---|---|
| 2026 | Perera, A. H., & Perera, H. N. (2026). Retail promotions: An operations management perspective. In Encyclopedia in Operations Management (pp. 411-424). Elsevier. DOI |
| Year | Citation |
|---|---|
| 2024 | Perera, A. H., Talagala, P. D., Perera, H. N., & Thibbotuwawa, A. (2024). Enhancing Demand Forecasting in Food Manufacturing: Hierarchical Analysis of Aggregated and Individual Models. In 2024 9th International Conference on Information Technology Research (ICITR) (pp. 1-6). IEEE. DOI |
| 2024 | Perera, A. H., Perera, H. N., Talagala, P. D., & Thibbotuwawa, A. (2024). Advancing Demand Forecasting for Material Requirements Planning in Food Manufacturing: A Hierarchical Forecasting Approach. In 2024 8th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI) (pp. 1-6). IEEE. DOI |