An MCTS-based Framework for Synthesis of Approximate Circuits. - Muhammad Awais 009; Hassan Ghasemzadeh Mohammadi; Marco Platzner (VLSI-SoC, 2018)

A Hybrid Synthesis Methodology for Approximate Circuits. - Muhammad Awais 009; Hassan Ghasemzadeh Mohammadi; Marco Platzner (ACM Great Lakes Symposium on VLSI, 2020)

LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis. - Muhammad Awais 009; Hassan Ghasemzadeh Mohammadi; Marco Platzner (ACM Great Lakes Symposium on VLSI, 2021)

MCTS-based Synthesis Towards Efficient Approximate Accelerators. - Muhammad Awais 009; Marco Platzner (ISVLSI, 2021)

MCTS-based approximate accelerator synthesis. - Muhammad Awais 009 (2021)

Automated Framework for Fast Synthesis of Approximate Hardware Accelerators. - Muhammad Awais 009; Marco Platzner (VLSI-SoC, 2022)

MAAS: Hiding Trojans in Approximate Circuits. - Qazi Arbab Ahmed; Muhammad Awais 009; Marco Platzner (ISQED, 2023)

Improved Learning-Based Design Space Exploration for Approximate Instance Generation. - Muhammad Awais 009; Sultan Alyami; Qazi Arbab Ahmed; Hani Alshahrani; Yousef Asiri; Asadullah Shaikh (IEEE Access, 2023)

Enhanced Probabilistic Route Stability (EPRS) Protocol for Healthcare Applications of WBAN. - Saifullah Memon; Jingyu Wang 001; Adnan Ahmed 001; Adel D. Rajab; Mana Saleh Al Reshan; Asadullah Shaikh; Muhammad Awais 009 (IEEE Access, 2023)

DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing. - Muhammad Awais 009; Hassan Ghasemzadeh Mohammadi; Marco Platzner (ISVLSI, 2024)

A Two-Stage Approximation Methodology for Efficient DNN Hardware Implementation. - Amir Hossein Hadipour; Atousa Jafari; Muhammad Awais 009; Marco Platzner (DDECS, 2025)

Deep&Wide: Achieving Area Efficiency in Scalable Approximate Accelerators. - Farjana Jalil; Muhammad Awais 009; Qazi Arbab Ahmed; Hassan Ghasemzadeh Mohammadi; Thorsten Jungeblut; Marco Platzner (DSN-W, 2025)

Design Space Exploration for Approximate Circuits via Checkpointing and DNN-Based Estimators. - Muhammad Awais 009; Hassan Ghasemzadeh Mohammadi; Marco Platzner (IEEE Trans. Very Large Scale Integr. Syst., 2025)