Sub-threshold charge recovery circuits. - Mehrdad Khatir; Hassan Ghasemzadeh Mohammadi; Alireza Ejlali (ICCD, 2010)

A fast TCAD-based methodology for Variation analysis of emerging nano-devices. - Hassan Ghasemzadeh Mohammadi; Pierre-Emmanuel Gaillardon; Majid Yazdani; Giovanni De Micheli (DFTS, 2013)

Vertically-stacked silicon nanowire transistors with controllable polarity: A robustness study. - Pierre-Emmanuel Gaillardon; Hassan Ghasemzadeh 002; Giovanni De Micheli (LATW, 2013)

Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection. - Hassan Ghasemzadeh Mohammadi; Pierre-Emmanuel Gaillardon; Majid Yazdani; Giovanni De Micheli (NANOARCH, 2014)

Fault modeling in controllable polarity silicon nanowire circuits. - Hassan Ghasemzadeh Mohammadi; Pierre-Emmanuel Gaillardon; Giovanni De Micheli (DATE, 2015)

On the Design of a Fault Tolerant Ripple-Carry Adder with Controllable-Polarity Transistors. - Hassan Ghasemzadeh 002; Pierre-Emmanuel Gaillardon; J. Zhang; Giovanni De Micheli; Ernesto Sánchez 001; Matteo Sonza Reorda (ISVLSI, 2015)

A Fault-Tolerant Ripple-Carry Adder with Controllable-Polarity Transistors. - Hassan Ghasemzadeh Mohammadi; Pierre-Emmanuel Gaillardon; Jian Zhang 067; Giovanni De Micheli; Ernesto Sánchez 001; Matteo Sonza Reorda (ACM J. Emerg. Technol. Comput. Syst., 2016)

Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation. - Hassan Ghasemzadeh Mohammadi; Pierre-Emmanuel Gaillardon; Giovanni De Micheli (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Robustness Analysis of Controllable-Polarity Silicon Nanowire Devices and Circuits. - Hassan Ghasemzadeh Mohammadi (2016)

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

Jump Search: A Fast Technique for the Synthesis of Approximate Circuits. - Linus Witschen; Hassan Ghasemzadeh Mohammadi; Matthias Artmann; Marco Platzner (ACM Great Lakes Symposium on VLSI, 2019)

DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. - Hassan Ghasemzadeh Mohammadi; Rahil Arshad; Sneha Rautmare; Suraj Manjunatha; Maurice Kuschel; Felix Paul Jentzsch; Marco Platzner; Alexander Boschmann; Dirk Schollbach (ETFA, 2020)

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)

FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. - Hassan Ghasemzadeh Mohammadi; Felix Paul Jentzsch; Maurice Kuschel; Rahil Arshad; Sneha Rautmare; Suraj Manjunatha; Marco Platzner; Alexander Boschmann; Dirk Schollbach (PKDD/ECML Workshops (1), 2021)

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

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)