Artificial Neural Network Assisted Analog IC Sizing Tool. - Gamze Islamoglu; Tugberk Ogulcan Çakici; Engin Afacan; Günhan Dündar (SMACD, 2019)

Improving POF Quality in Multi Objective Optimization of Analog ICs via Deep Learning. - Tugberk Ogulcan Çakici; Gamze Islamoglu; Seyda Nur Güzelhan; Engin Afacan; Günhan Dündar (ECCTD, 2020)

Deep learning aided efficient yield analysis for multi-objective analog integrated circuit synthesis. - Gamze Islamoglu; Tugberk Ogulcan Çakici; Seyda Nur Güzelhan; Engin Afacan; Günhan Dündar (Integr., 2021)

Survey, Analysis and Comparison of Radar Technologies for Embedded Vital Sign Monitoring. - Marco Giordano; Gamze Islamoglu; Viviane Potocnik; Christian Vogt 002; Michele Magno (EMBC, 2022)

ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers. - Gamze Islamoglu; Moritz Scherer 001; Gianna Paulin; Tim Fischer 001; Victor J. B. Jung; Angelo Garofalo; Luca Benini (ISLPED, 2023)

VEXP: A Low-Cost RISC-V ISA Extension for Accelerated Softmax Computation in Transformers. - Run Wang; Gamze Islamoglu; Andrea Belano; Viviane Potocnik; Francesco Conti 001; Angelo Garofalo; Luca Benini (ARITH, 2025)

MXDOTP: A RISC-V ISA Extension for Enabling Microscaling (MX) Floating-Point Dot Products. - Gamze Islamoglu; Luca Bertaccini; Arpan Suravi Prasad; Francesco Conti 001; Angelo Garofalo; Luca Benini (ASAP, 2025)

Multi-Mode Borderguard Controllers for Efficient On-Chip Communication in Heterogeneous Digital/Analog Neural Processing Units. - Hong Pang; Carmine Cappetta; Riccardo Massa; Athanasios Vasilopoulos; Elena Ferro; Gamze Islamoglu; Angelo Garofalo; Francesco Conti 001; Luca Benini; Irem Boybat; Thomas Boesch (DATE, 2025)

PACE: An Optimal Piecewise Polynomial Approximation Unit for Flexible and Efficient Transformer Non-linearity Acceleration. - Arpan Suravi Prasad; Gamze Islamoglu; Luca Bertaccini; Davide Rossi; Francesco Conti 001; Luca Benini (ISVLSI, 2025)

FlatAttention: Dataflow and Fabric Collectives Co-Optimization for Efficient Multi-Head Attention on Tile-Based Many-PE Accelerators. - Chi Zhang; Luca Colagrande; Renzo Andri; Thomas Benz; Gamze Islamoglu; Alessandro Nadalini; Francesco Conti 001; Yawei Li 001; Luca Benini (ISVLSI, 2025)

Toward Attention-Based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow. - Philip Wiese; Gamze Islamoglu; Moritz Scherer 001; Luka Macan; Victor Jean-Baptiste Jung; Alessio Burrello; Francesco Conti 001; Luca Benini (IEEE Des. Test, 2025)