Ultrasonic sensor based contactless theremin using pipeline CORDIC as tone generator. - Bagus Hanindhito; Hafez Hogantara; Annisa I. Rahmah; Nur Ahmadi; Trio Adiono (ISPACS, 2015)

Hardware Trojan Design and Its Detection using Side-Channel Analysis on Cryptographic Hardware AES Implemented on FPGA. - Bagus Hanindhito; Yusuf Kurniawan (ICEEI, 2019)

Demystifying the MLPerf Benchmark Suite. - Snehil Verma; Qinzhe Wu; Bagus Hanindhito; Gunjan Jha; Eugene B. John; Ramesh Radhakrishnan; Lizy K. John (CoRR, 2019)

Demystifying the MLPerf Training Benchmark Suite. - Snehil Verma; Qinzhe Wu; Bagus Hanindhito; Gunjan Jha; Eugene B. John; Ramesh Radhakrishnan; Lizy K. John (ISPASS, 2020)

The gem5 Simulator: Version 20.0+. - Jason Lowe-Power; Abdul Mutaal Ahmad; Ayaz Akram; Mohammad Alian; Rico Amslinger; Matteo Andreozzi; Adrià Armejach; Nils Asmussen; Srikant Bharadwaj; Gabe Black; Gedare Bloom; Bobby R. Bruce; et al. (CoRR, 2020)

Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs. - Aman Arora 001; Bagus Hanindhito; Lizy K. John (ACSCC, 2021)

Wave-PIM: Accelerating Wave Simulation Using Processing-in-Memory. - Bagus Hanindhito; Ruihao Li 002; Dimitrios Gourounas; Arash Fathi; Karan Govil; Dimitar Trenev; Andreas Gerstlauer; Lizy Kurian John (ICPP, 2021)

Intel Wins in Four Decades, but AMD Catches Up. - Bagus Hanindhito; Karthik Swaminathan; Vijaykrishnan Narayanan; Lizy Kurian John (IEEE Micro, 2021)

CoMeFa: Compute-in-Memory Blocks for FPGAs. - Aman Arora 001; Tanmay Anand; Aatman Borda; Rishabh Sehgal; Bagus Hanindhito; Jaydeep Kulkarni; Lizy K. John (FCCM, 2022)

MathRAMs: Configurable Fused Compute-Memory Blocks for FPGAs. - Aman Arora 001; Aatman Borda; Tanmay Anand; Bagus Hanindhito; Lizy K. John (FPGA, 2022)

GAPS: GPU-acceleration of PDE solvers for wave simulation. - Bagus Hanindhito; Dimitrios Gourounas; Arash Fathi; Dimitar Trenev; Andreas Gerstlauer; Lizy K. John (ICS, 2022)

FAWS: FPGA Acceleration of Large-Scale Wave Simulations. - Dimitrios Gourounas; Bagus Hanindhito; Arash Fathi; Dimitar Trenev; Lizy K. John; Andreas Gerstlauer (ASAP, 2023)

LAWS: Large-Scale Accelerated Wave Simulations on FPGAs. - Dimitrios Gourounas; Bagus Hanindhito; Arash Fathi; Dimitar Trenev; Lizy Kurian John; Andreas Gerstlauer (FPGA, 2023)

CoMeFa: Deploying Compute-in-Memory on FPGAs for Deep Learning Acceleration. - Aman Arora 001; Atharva Bhamburkar; Aatman Borda; Tanmay Anand; Rishabh Sehgal; Bagus Hanindhito; Pierre-Emmanuel Gaillardon; Jaydeep Kulkarni; Lizy K. John (ACM Trans. Reconfigurable Technol. Syst., 2023)

Bandwidth Characterization of DeepSpeed on Distributed Large Language Model Training. - Bagus Hanindhito; Bhavesh Patel; Lizy K. John (ISPASS, 2024)

Accelerating ML Workloads using GPU Tensor Cores: The Good, the Bad, and the Ugly. - Bagus Hanindhito; Lizy K. John (ICPE, 2024)

PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation. - Siyuan Ma; Kaustubh Manohar Mhatre; Jian Weng 002; Bagus Hanindhito; Zhengrong Wang; Tony Nowatzki; Lizy K. John; Aman Arora 001 (ACM Trans. Archit. Code Optim., 2024)

HighWave: Large-Scale High-Bandwidth Wave Simulations on FPGAs. - Dimitrios Gourounas; Austin G. James; Bagus Hanindhito; Arash Fathi; Lizy K. John; Andreas Gerstlauer (FCCM, 2025)

Large Language Model Fine-tuning with Low-Rank Adaptation: A Performance Exploration. - Bagus Hanindhito; Bhavesh Patel; Lizy K. John (ICPE, 2025)