S.S. Diware (2024), Computation-In-Memory based Edge-AI for Healthcare: A Cross-Layer Approach, PhD Thesis Delft University of Technology.

Sumit Diware, Mohammad Amin Yaldagard, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi (2024), Dynamic Detection and Mitigation of Read-disturb for Accurate Memristor-based Neural Networks, In 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS) p.393-397, IEEE.

Sumit Diware, Mohammad Amin Yaldagard, rajendra bishnoi (2024), Hardware-Aware Quantization for Accurate Memristor-Based Neural Networks, Robert Wille (Eds.), In Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design.

Sumit Diware, Koteswararao Chilakala, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi (2024), Reliable and Energy-efficient Diabetic Retinopathy Screening using Memristor-based Neural Networks, In IEEE Access Volume 12 p.47469 - 47482.

Abhairaj Singh, Rajendra Bishnoi, Ali Kaichouhi, Sumit Diware, Rajiv V. Joshi, Said Hamdioui (2023), A 115.1 TOPS/W, 12.1 TOPS/mm²Computation-in-Memory using Ring-Oscillator based ADC for Edge AI, In AICAS 2023 - IEEE International Conference on Artificial Intelligence Circuits and Systems, Proceeding, IEEE.

Sumit Diware, Abhairaj Singh, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi (2023), Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks, In IEEE Transactions on Emerging Topics in Computational Intelligence Volume 7 p.164 - 177.

Rajendra Bishnoi, Sumit Diware, Anteneh Gebregiorgis, Simon Thomann, Sara Mannaa, Bastien Deveautour, Cedric Marchand, Alberto Bosio, Damien Deleruyelle, Ian O'Connor, Hussam Amrouch, Said Hamdioui (2023), Energy-efficient Computation-In-Memory Architecture using Emerging Technologies, In Proceedings of the 2023 International Conference on Microelectronics, ICM 2023 p.325-334, IEEE.

Sumit Diware, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi (2023), Mapping-aware Biased Training for Accurate Memristor-based Neural Networks, In AICAS 2023 - IEEE International Conference on Artificial Intelligence Circuits and Systems, Proceeding, IEEE.

Hassen Aziza, Cristian Zambelli, Said Hamdioui, Sumit Diware, Rajendra Bishnoi, Anteneh Gebregiorgis (2023), On the Reliability of RRAM-Based Neural Networks, In Proceedings of the 2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC), IEEE.

M.A. Yaldagard, S. Diware, R.V. Joshi, S. Hamdioui, R. Bishnoi (2023), Read-disturb Detection Methodology for RRAM-based Computation-in-Memory Architecture, In 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS).