| 2024 | IJCNN | A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging. | Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique |
| 2023 | ICCAD | Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. | Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vascek, Luks Sekanina, Muhammad Shafique |
| 2023 | IJCNN | SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters. | Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique |
| 2023 | ISVC | ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images. | Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique |
| 2020 | DAC | EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. | Bharath Srinivas Prabakaran, Alberto Garca Jimnez, Germn Molt Martnez, Muhammad Shafique |
| 2020 | DAC | ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. | Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vascek, Luks Sekanina, Muhammad Shafique |
| 2019 | DAC | XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge. | Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Shafique |
| 2018 | DAC | Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. | Salim Ullah, Semeen Rehman, Bharath Srinivas Prabakaran, Florian Kriebel, Muhammad Abdullah Hanif, Muhammad Shafique, Akash Kumar |
| 2018 | DATE | DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. | Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Abdullah Hanif, Salim Ullah, Ghazal Mazaheri, Akash Kumar, Muhammad Shafique |
| 2018 | IOLTS | Hardware and Software Techniques for Heterogeneous Fault-Tolerance. | Semeen Rehman, Florian Kriebel, Bharath Srinivas Prabakaran, Faiq Khalid, Muhammad Shafique |
| 2017 | DATE | Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding. | Walaa El-Harouni, Semeen Rehman, Bharath Srinivas Prabakaran, Akash Kumar, Rehan Hafiz, Muhammad Shafique |