Personal profile
Qualifications
Doctor of Philosophy, Macquarie University
Master of Research, Macquarie University
Master of Technology Management, Staffordshire University
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Dive into the research topics where Waqas Afridi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Calibration and validation of an embedded AD5933 impedimetric sensor system for soil organic carbon measurement
Afridi, W. A. K., Shearan, B., Mainali, B. & Mukhopadhyay, S. C., 2025, (E-pub ahead of print (In Press)) In: IEEE Sensors Journal. 10 p.Research output: Contribution to journal › Article › peer-review
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Machine learning enabled smart sensor node for evapotranspiration prediction in diverse soil and environmental conditions
Afridi, W. A. K., Mukhopadhyay, S. C. & Mainali, B., 15 Jun 2025, In: IEEE Sensors Journal. 25, 12, p. 22720-22728 9 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Predicting evapotranspiration using IoT sensor node and support Vector Machine
Afridi, W. A. K., Mukhopadhyay, S. C. & Mainali, B., 2025, Proceedings of the 17th International Conference on Sensing Technology (ICST), 9-11 December 2024, Sydney, New South Wales, Australia. U.S.: IEEE, 6 p.Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review
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A support vector machine learning prediction model of evapotranspiration using real-time sensor node data
Afridi, W. A. K., Mukhopadhyay, S. C. & Mainali, B., 2024, Proceedings of the Eurosensors XXXVI Conference, 1-4 September 2024, Debrecen, Hungary. Germany: Association for Sensors and Measurement, p. 221-222 2 p.Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review
Open Access -
Development of IoT soil sensor node: installation and modeling
Afridi, W. A. K., Vitoria, I. & Mukhopadhyay, S. C., 2024, IoT Sensors, ML, AI and XAI: Empowering a Smarter World. Pradhan, B. & Mukhopadhyay, S. (eds.). Switzerland: Springer, p. 75-90 16 p. (Smart Sensors, Measurement and Instrumentation; vol. 50).Research output: Chapter in Book / Conference Paper › Chapter › peer-review
2 Citations (Scopus)