On Securing Persistent State in Intermittent Computing. - Hafiz Areeb Asad; Erik Henricus Wouters; Naveed Anwar Bhatti; Luca Mottola; Thiemo Voigt (ENSsys@SenSys, 2020)

Learning attention models for resource-constrained, self-adaptive visual sensing applications. - Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach; Christian Renner; Tiago Santos Veiga (RACS, 2022)

Container-Based IoT Architectures: Use Case for Visual Person Counting. - Tiago Veiga; Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach (NAIS, 2023)

Poster Abstract: Towards Autonomous Utility-Aware Energy Management for Energy Harvesting Devices. - Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach; Christian Renner (SenSys, 2023)

Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy. - Frank Alexander Kraemer; Hafiz Areeb Asad; Kerstin Bach; Bernd-Christian Renner (IEEE Access, 2023)

Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications. - Tiago Veiga; Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach (Future Gener. Comput. Syst., 2023)

UtiliGEM: Energy Management Guided by Learned Application Utility. - Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach; Bernd-Christian Renner (IoT, 2024)