Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “DeepApprox: Rapid Deep Learning Based Design Space Exploration of Approximate Circuits via Check-Pointing.” In To Apear in IEEE ISVLSI 2024, 2024.

Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “LDAX: A Learning-Based Fast Design Space Exploration Framework for Approximate Circuit Synthesis.”https://doi.org/10.1145/3453688.3461506__In Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021, 27–32. ACM, 2021.https://doi.org/10.1145/3453688.3461506 .

Awais, Muhammad, and Marco Platzner. “MCTS-Based Synthesis Towards Efficient Approximate Accelerators.” In Proceedings of IEEE Computer Society Annual Symposium on VLSI, 384–89. IEEE, 2021.

Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “A Hybrid Synthesis Methodology for Approximate Circuits.”https://doi.org/10.1145/3386263.3406952__In Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, 421–26. ACM, 2020.https://doi.org/10.1145/3386263.3406952 .

Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi, Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.”https://doi.org/10.1016/j.microrel.2019.04.003__Microelectronics Reliability 99 (2019): 277–90.https://doi.org/10.1016/j.microrel.2019.04.003 .

Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “An MCTS-Based Framework for Synthesis of Approximate Circuits.”https://doi.org/10.1109/VLSI-SoC.2018.8645026__In 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 219–24, 2018.https://doi.org/10.1109/VLSI-SoC.2018.8645026 .

Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi, Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Third Workshop on Approximate Computing (AxC 2018), n.d.