Learning-Oriented QoS- and Drop-Aware Task Scheduling for Mixed-Criticality Systems. - Behnaz Ranjbar; Hamidreza Alikhani; Bardia Safaei 001; Alireza Ejlali; Akash Kumar 001 (Comput., 2022)

Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. - Sina Shahhosseini; Yang Ni 001; Hamidreza Alikhani; Emad Kasaeyan Naeini; Mohsen Imani; Nikil D. Dutt; Amir M. Rahmani (CoRR, 2022)

Edge-centric Optimization of Multi-modal ML-driven eHealth Applications. - Anil Kanduri; Sina Shahhosseini; Emad Kasaeyan Naeini; Hamidreza Alikhani; Pasi Liljeberg; Nikil D. Dutt; Amir M. Rahmani (CoRR, 2022)

DynaFuse: Dynamic Fusion for Resource Efficient Multimodal Machine Learning Inference. - Hamidreza Alikhani; Anil Kanduri; Pasi Liljeberg; Amir M. Rahmani; Nikil D. Dutt (IEEE Embed. Syst. Lett., 2023)

Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications. - Hamidreza Alikhani; Anil Kanduri; Pasi Liljeberg; Amir M. Rahmani; Nikil D. Dutt (CODES+ISSS, 2024)

SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness. - Hamidreza Alikhani; Ziyu Wang; Anil Kanduri; Pasi Liljeberg; Amir M. Rahmani; Nikil D. Dutt (DATE, 2024)

EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. - Hamidreza Alikhani; Ziyu Wang; Anil Kanduri; Pasi Liljeberg; Amir M. Rahmani; Nikil D. Dutt (ISLPED, 2024)

ESPERANTO: Evaluating Synthesized Phrases to Enhance Robustness in AI Detection for Text Origination. - Navid Ayoobi; Lily Knab; Wen Cheng; David Pantoja; Hamidreza Alikhani; Sylvain Flamant; Jin Kim; Arjun Mukherjee (CoRR, 2024)

ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables. - Hamidreza Alikhani; Anil Kanduri; Emad Kasaeyan Naeini; Sina Shahhosseini; Pasi Liljeberg; Amir M. Rahmani; Nikil D. Dutt (IEEE Des. Test, 2025)