معرفی
Dr. Sara Khalifa is an Adjunct Lecturer at the School of Electrical Engineering & Computer Science, University of Queensland. She specializes in interdisciplinary research at the intersection of IoT, energy harvesting, and machine learning. Her work focuses on human activity recognition, speech emotion analysis, and sustainable energy systems. She can be contacted at s.khalifa@uq.edu.au.
Her research explores innovative applications of energy harvesting in IoT devices, leveraging solar and kinetic energy for self-sustaining systems. She also develops advanced machine learning techniques for speech emotion recognition, emphasizing deep learning and representation learning. Recent projects include FusedAR (2023), which integrates multiple energy sources for activity recognition, and surveys on IoT task scheduling (2021).
Publications span IEEE Transactions and conferences like BMVA 2022 and PerCom 2021, demonstrating cross-domain contributions to embedded systems, sensor networks, and neural network analysis. While no specific grants or awards are listed, her collaborative work with industry partners like Marius Portmann and Raja Jurdak highlights active research engagement.
