ACHILLES: Accuracy-Aware High-Level Synthesis Considering Online Quality Management. - Shayan Tabatabaei Nikkhah; Mahdi Zahedi; Mehdi Kamal; Ali Afzali-Kusha; Massoud Pedram (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Efficient Organization of Digital Periphery to Support Integer Datatype for Memristor-Based CIM. - Mahdi Zahedi; Mahta Mayahinia; Muath Abu Lebdeh; Stephan Wong; Said Hamdioui (ISVLSI, 2020)

Tile Architecture and Hardware Implementation for Computation-in-Memory. - Mahdi Zahedi; Remon van Duijnen; Stephan Wong; Said Hamdioui (ISVLSI, 2021)

CIM-based Robust Logic Accelerator using 28 nm STT-MRAM Characterization Chip Tape-out. - Abhairaj Singh; Mahdi Zahedi; Taha Shahroodi; Mohit Gupta 004; Anteneh Gebregiorgis; Manu Komalan; Rajiv V. Joshi; Francky Catthoor; Rajendra Bishnoi; Said Hamdioui (AICAS, 2022)

Exploiting PUF Variation to Detect Fault Injection Attacks. - Troya Çagil Köylü; Luíza C. Garaffa; Cezar Reinbrecht; Mahdi Zahedi; Said Hamdioui; Mottaqiallah Taouil (DDECS, 2022)

KrakenOnMem: a memristor-augmented HW/SW framework for taxonomic profiling. - Taha Shahroodi; Mahdi Zahedi; Abhairaj Singh; Stephan Wong; Said Hamdioui (ICS, 2022)

System Design for Computation-in-Memory: From Primitive to Complex Functions. - Mahdi Zahedi; Taha Shahroodi; Geert Custers; Abhairaj Singh; Stephan Wong; Said Hamdioui (VLSI-SoC, 2022)

Demeter: A Fast and Energy-Efficient Food Profiler Using Hyperdimensional Computing in Memory. - Taha Shahroodi; Mahdi Zahedi; Can Firtina; Mohammed Alser; Stephan Wong; Onur Mutlu; Said Hamdioui (IEEE Access, 2022)

BCIM: Efficient Implementation of Binary Neural Network Based on Computation in Memory. - Mahdi Zahedi; Taha Shahroodi; Stephan Wong; Said Hamdioui (CoRR, 2022)

MNEMOSENE: Tile Architecture and Simulator for Memristor-based Computation-in-memory. - Mahdi Zahedi; Muath Abu Lebdeh; Christopher Bengel; Dirk J. Wouters; Stephan Menzel; Manuel Le Gallo; Abu Sebastian; Stephan Wong; Said Hamdioui (ACM J. Emerg. Technol. Comput. Syst., 2022)

SieveMem: A Computation-in-Memory Architecture for Fast and Accurate Pre-Alignment. - Taha Shahroodi; Michael Miao; Mahdi Zahedi; Stephan Wong; Said Hamdioui (ASAP, 2023)

Lightspeed Binary Neural Networks using Optical Phase-Change Materials. - Taha Shahroodi; Raphael Cardoso; Mahdi Zahedi; Stephan Wong; Alberto Bosio; Ian O'Connor; Said Hamdioui (DATE, 2023)

SparseMEM: Energy-efficient Design for In-memory Sparse-based Graph Processing. - Mahdi Zahedi; Geert Custers; Taha Shahroodi; Georgi Gaydadjiev; Stephan Wong; Said Hamdioui (DATE, 2023)

MNEMOSENE++: Scalable Multi-Tile Design with Enhanced Buffering and VGSOT-MRAM based Compute-in-Memory Crossbar Array. - Carlos Escuin; Fernando García-Redondo; Mahdi Zahedi; Pablo Ibáñez 001; Teresa Monreal; Víctor Viñals; José María Llabería; James Myers; Julien Ryckaert; Dwaipayan Biswas; Francky Catthoor (ICECS, 2023)

Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors. - Taha Shahroodi; Gagandeep Singh 002; Mahdi Zahedi; Haiyu Mao; Joël Lindegger; Can Firtina; Stephan Wong; Onur Mutlu; Said Hamdioui (MICRO, 2023)

RattlesnakeJake: A Fast and Accurate Pre-alignment Filter Suitable for Computation-in-Memory. - Taha Shahroodi; Michael Miao; Mahdi Zahedi; Stephan Wong; Said Hamdioui (SAMOS, 2023)

Efficient Signed Arithmetic Multiplication on Memristor-Based Crossbar. - Mahdi Zahedi; Taha Shahroodi; Stephan Wong; Said Hamdioui (IEEE Access, 2023)

Computation-in-memory from application-specific to programmable designs based on memristor devices. - Mahdi Zahedi (2023)

BCIM: Efficient Implementation of Binary Neural Network Based on Computation in Memory. - Mahdi Zahedi; Taha Shahroodi; Carlos Escuin; Georgi Gaydadjiev; Stephan Wong; Said Hamdioui (IEEE Trans. Emerg. Top. Comput., 2025)