Special Session - Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications. - Jörg Henkel; Lokesh Siddhu; Lars Bauer; Jürgen Teich; Stefan Wildermann; Mehdi B. Tahoori; Mahta Mayahinia; Jerónimo Castrillón; Asif Ali Khan; Hamid Farzaneh; João Paulo C. de Lima; Jian-Jia Chen; et al. (CASES, 2023)

CINM (Cinnamon): A Compilation Infrastructure for Heterogeneous Compute In-Memory and Compute Near-Memory Paradigms. - Asif Ali Khan; Hamid Farzaneh; Karl F. A. Friebel; Lorenzo Chelini; Jerónimo Castrillón (CoRR, 2023)

Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta. - Hamid Farzaneh; Neda Gilani; Reza Arabi Belaghi; Hanif Yaghoobi; Esmaeil Babaei; Parvin Sarbakhsh; Jamileh Malakouti (Frontiers Digit. Health, 2023)

C4CAM: A Compiler for CAM-based In-memory Accelerators. - Hamid Farzaneh; João Paulo Cardoso de Lima; Mengyuan Li; Asif Ali Khan; Xiaobo Sharon Hu; Jerónimo Castrillón (ASPLOS (3), 2024)

CINM (Cinnamon): A Compilation Infrastructure for Heterogeneous Compute In-Memory and Compute Near-Memory Paradigms. - Asif Ali Khan; Hamid Farzaneh; Karl Friedrich Alexander Friebel; Clément Fournier; Lorenzo Chelini; Jerónimo Castrillón (ASPLOS (4), 2024)

SHERLOCK: Scheduling Efficient and Reliable Bulk Bitwise Operations in NVMs. - Hamid Farzaneh; João Paulo C. de Lima; Ali Nezhadi Khelejani; Asif Ali Khan; Mahta Mayahinia; Mehdi B. Tahoori; Jerónimo Castrillón (DAC, 2024)

The Landscape of Compute-near-memory and Compute-in-memory: A Research and Commercial Overview. - Asif Ali Khan; João Paulo C. de Lima; Hamid Farzaneh; Jerónimo Castrillón (CoRR, 2024)