The efficient mCBE algorithm and quantization numbers for multiplierless and low complexity DCT/IDCT Image Compression Architecture. - Rachmad Vidya Wicaksana Putra; Rella Mareta; Nurfitri Anbarsanti; Trio Adiono (ICEEI, 2011)

A register-free and homogenous architecture for square root algorithm. - Rachmad Vidya Wicaksana Putra; Trio Adiono (IC3INA, 2014)

Optimized hardware algorithm for integer cube root calculation and its efficient architecture. - Rachmad Vidya Wicaksana Putra; Trio Adiono (ISPACS, 2015)

Live demonstration: MINDS - Meshed and internet networked devices system for smart home: Track selection: Embedded systems. - Trio Adiono; Maulana Yusuf Fathany; Rachmad Vidya Wicaksana Putra; Khilda Afifah; Muhammad Husni Santriaji; Braham Lawas Lawu; Syifaul Fuada (APCCAS, 2016)

Analog filters design in VLC analog front-end receiver for reducing indoor ambient light noise. - Trio Adiono; Angga Pradana; Rachmad Vidya Wicaksana Putra; Syifaul Fuada (APCCAS, 2016)

Parallel morphological template matching design for efficient human detection application. - Trio Adiono; Radhian Ferel Armansyah; Fadhli Dzil Ikram; Swizya Satira Nolika; Rachmad Vidya Wicaksana Putra; Amy Hamidah Salman (ISPACS, 2016)

An architecture design of SAD based template matching for fast queue counter in FPGA. - Trio Adiono; Mahendra Drajat Adhinata; Novi Prihatiningrum; Ricky Disastra; Rachmad Vidya Wicaksana Putra; Amy Hamidah Salman (ISPACS, 2016)

Kurtosis and energy based spectrum detection for SDR based RF monitoring system. - Prasetiyo; Rachmad Vidya Wicaksana Putra; Trio Adiono; Amy Hamidah Salman (ISPACS, 2016)

HW/SW co-design and co-optimizations for deep learning. - Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (INTESA@ESWEEK, 2018)

Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. - Muhammad Abdullah Hanif; Faiq Khalid; Rachmad Vidya Wicaksana Putra; Semeen Rehman; Muhammad Shafique 001 (IOLTS, 2018)

MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks. - Muhammad Abdullah Hanif; Rachmad Vidya Wicaksana Putra; Muhammad Tanvir; Rehan Hafiz; Semeen Rehman; Muhammad Shafique 001 (CoRR, 2018)

ROMANet: Fine-Grained Reuse-Driven Data Organization and Off-Chip Memory Access Management for Deep Neural Network Accelerators. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2019)

DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DAC, 2020)

APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators. - Paniti Achararit; Muhammad Abdullah Hanif; Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001; Yuko Hara-Azumi (IEEE Access, 2020)

FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2020)

FSpiNN: An Optimization Framework for Memory-Efficient and Energy-Efficient Spiking Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (DAC, 2021)

SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DAC, 2021)

Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. - Muhammad Shafique 001; Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif (ICCAD, 2021)

ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (ICCAD, 2021)

Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (IJCNN, 2021)

Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. - Muhammad Shafique 001; Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif (CoRR, 2021)

ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IEEE Trans. Very Large Scale Integr. Syst., 2021)

SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DAC, 2022)

lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (IJCNN, 2022)

tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2022)

Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (ICARA, 2023)

TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (IROS, 2023)

EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data Through Learning Rate Enhancements for Autonomous Embedded Systems. - Iqra Bano; Rachmad Vidya Wicaksana Putra; Alberto Marchisio; Muhammad Shafique 001 (ICARCV, 2024)

A Methodology to Study the Impact of Spiking Neural Network Parameters Considering Event-Based Automotive Data. - Iqra Bano; Rachmad Vidya Wicaksana Putra; Alberto Marchisio; Muhammad Shafique 001 (ICARCV, 2024)

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. - Rachmad Vidya Wicaksana Putra; Alberto Marchisio; Fakhreddine Zayer; Jorge Dias 001; Muhammad Shafique 001 (ICARCV, 2024)

SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network Systems. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2024)

A Methodology for Improving Accuracy of Embedded Spiking Neural Networks through Kernel Size Scaling. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2024)

HASNAS: A Hardware-Aware Spiking Neural Architecture Search Framework for Neuromorphic Compute-in-Memory Systems. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2024)

PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2024)

Continual Learning with Neuromorphic Computing: Theories, Methods, and Applications. - Mishal Fatima Minhas; Rachmad Vidya Wicaksana Putra; Falah Awwad; Osman Hasan; Muhammad Shafique 001 (CoRR, 2024)

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents. - Avaneesh Devkota; Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2024)

SNN4Agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents. - Rachmad Vidya Wicaksana Putra; Alberto Marchisio; Muhammad Shafique 001 (Frontiers Robotics AI, 2024)

Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications. - Mishal Fatima Minhas; Rachmad Vidya Wicaksana Putra; Falah Awwad; Osman Hasan; Muhammad Shafique 001 (IEEE Access, 2025)

Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems. - Mishal Fatima Minhas; Rachmad Vidya Wicaksana Putra; Falah Awwad; Osman Hasan; Muhammad Shafique 001 (CoRR, 2025)

QSViT: A Methodology for Quantizing Spiking Vision Transformers. - Rachmad Vidya Wicaksana Putra; Saad Iftikhar; Muhammad Shafique 001 (CoRR, 2025)

Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems. - Rachmad Vidya Wicaksana Putra; Pasindu Wickramasinghe; Muhammad Shafique 001 (CoRR, 2025)

SwitchMT: An Adaptive Context Switching Methodology for Scalable Multi-Task Learning in Intelligent Autonomous Agents. - Avaneesh Devkota; Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2025)

SpiKernel: A Kernel Size Exploration Methodology for Improving Accuracy of the Embedded Spiking Neural Network Systems. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (IEEE Embed. Syst. Lett., 2025)