| 2026 | ISCAS | Low Supply, Impedance-Boosted Current Mirror Using Back-Gate in FD-SOI Technology. | Roopesh G. L, Arpan Jain, Soham Bhattacharyya, Ashfakh Huluvallay, Andleeb Zahra, Zia Abbas |
| 2026 | ISCAS | A 0.5V 72-pW Process and Temperature Compensated Voltage Reference. | Vikkram Srinivasan, Damini Chandi Priya A, Ashfakh Huluvallay, Arpan Jain, Abhishek Pullela, Andleeb Zahra, Zia Abbas |
| 2025 | VTS | Low-Power Voltage Reference: Review & Progress. | Abhishek Pullela, Ashfakh Huluvallay, Arpan Jain, Zia Abbas, Inhee Lee |
| 2024 | ISCAS | A Single-Point, Auto-Calibration Technique For PTAT/CTAT Resistance Based Current References. | Arpan Jain, Ashfakh Ali, Dheekshith Akula, Abhishek Pullela, Zia Abbas |
| 2023 | ISCAS | A 162nW, 0.845pJ/step Resistance-to-Digital Converter for Miniature Battery-Powered Sensing Systems. | Arnab Dey, Inhee Lee, Ashfakh Ali, Arpan Jain, Abhishek Pullela, Zia Abbas |
| 2023 | ISCAS | A 7 nW, 1 kHz, -40-170°C Relaxation Oscillator with Switch-Leakage Compensation for Low-Power High-Temperature IoT Systems. | Ashfakh Huluvallay, Abhishek Pullela, Ehab A. Hamed, Arpan Jain, Naveen Dasari, Zia Abbas, Inhee Lee |
| 2022 | HiPC | AccDP: Accelerated Data-Parallel Distributed DNN Training for Modern GPU-Based HPC Clusters. | Nawras Alnaasan, Arpan Jain, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2022 | ISCAS | A 156pW Gate-Leakage Based Voltage/Current Reference for Low-Power IoT Systems. | Abhishek Pullela, Ashfakh Ali, Arpan Jain, Inhee Lee, Zia Abbas |
| 2022 | VLSID | A 180 | Arpan Jain, Abhishek Pullela, Ashfakh Ali, Zia Abbas |
| 2021 | HOTI | Accelerating CPU-based Distributed DNN Training on Modern HPC Clusters using BlueField-2 DPUs. | Arpan Jain, Nawras Alnaasan, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2021 | ISCAS | A 419pW Process-Invariant Temperature Sensor for Ultra-Low Power Microsystems. | Abhishek Pullela, Ashfakh Ali, Arpan Jain, Adithya Banthi, Zia Abbas |
| 2020 | SC | GEMS: GPU-enabled memory-aware model-parallelism system for distributed DNN training. | Arpan Jain, Ammar Ahmad Awan, Asmaa M. Aljuhani, Jahanzeb Maqbool Hashmi, Quentin G. Anthony, Hari Subramoni, Dhabaleswar K. Panda, Raghu Machiraju, Anil Parwani |
| 2019 | CLUSTER | Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters. | Arpan Jain, Ammar Ahmad Awan, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda |
| 2019 | HiPC | Designing a Profiling and Visualization Tool for Scalable and In-depth Analysis of High-Performance GPU Clusters. | Pouya Kousha, Bharath Ramesh, Kaushik Kandadi Suresh, Ching-Hsiang Chu, Arpan Jain, Nick Sarkauskas, Hari Subramoni, Dhabaleswar K. Panda |
| 2019 | HOTI | Communication Profiling and Characterization of Deep Learning Workloads on Clusters with High-Performance Interconnects. | Ammar Ahmad Awan, Arpan Jain, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda |
| 2019 | ISCAS | A High PSRR, Stable CMOS Current Reference using Process Insensitive TC of Resistance for Wide Temperature Applications. | Arpan Jain, Ashfakh Ali, Sai Kiran, Zia Abbas |
| 2019 | SC | Scaling TensorFlow, PyTorch, and MXNet using MVAPICH2 for High-Performance Deep Learning on Frontera. | Arpan Jain, Ammar Ahmad Awan, Hari Subramoni, Dhabaleswar K. Panda |