| Anomaly Detection and Fault Disambiguation in Large Flight Data: A Multi-modal Deep Autoencoder Approach KK Reddy, S Sarkar, V Venugopalan, M Giering Annual Conference of the Prognostics and Health Management Society 2016 7, 8, 2016 | 85 | 2016 |
| Design, Implementation and Security Analysis of Hardware Trojan Threats in FPGA DM Shila, V Venugopal Proceedings of the ACM/SIGDA international symposium on Field programmable …, 2014 | 41 | 2014 |
| Multi-modal sensor registration for vehicle perception via deep neural networks M Giering, V Venugopalan, K Reddy 2015 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2015 | 37 | 2015 |
| Surveying the Hardware Trojan Threat Landscape for the Internet-of-Things V Venugopalan, CD Patterson Journal of Hardware and Systems Security, 2018 | 36 | 2018 |
| Benchmarking at the frontier of hardware security: Lessons from logic locking B Tan, R Karri, N Limaye, A Sengupta, O Sinanoglu, MM Rahman, ... arXiv preprint arXiv:2006.06806, 2020 | 34 | 2020 |
| Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames S Sarkar, V Venugopalan, K Reddy, J Ryde, N Jaitly, M Giering Journal of Signal Processing Systems, 1-13, 2016 | 31 | 2016 |
| High throughput implementations of cryptography algorithms on GPU and FPGA V Venugopal, DM Shila Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE …, 2013 | 30 | 2013 |
| Low power sigma delta decimation filter SB Nerurkar, KH Abed, RE Siferd, V Venugopal The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002 …, 2002 | 28 | 2002 |
| Accelerating Real-Time LiDAR Data Processing Using GPUs V Venugopal, SK Kannan Circuits and Systems, 2013. MWSCAS-2013. The 2013 56th Midwest Symposium on, 2013 | 27 | 2013 |
| Security-driven metrics and models for efficient evaluation of logic encryption schemes Y Hu, VV Menon, A Schmidt, J Monson, M French, P Nuzzo Proceedings of the 17th ACM-IEEE International Conference on Formal Methods …, 2019 | 19 | 2019 |
| Occlusion edge detection in RGB-D frames using deep convolutional networks S Sarkar, V Venugopalan, K Reddy, M Giering, J Ryde, N Jaitly arXiv preprint arXiv:1412.7007, 2014 | 18 | 2014 |
| Occlusion edge detection in RGB-D frames using deep convolutional networks S Sarkar, V Venugopalan, K Reddy, M Giering, J Ryde, N Jaitly arXiv preprint arXiv:1412.7007, 2014 | 18 | 2014 |
| Design and implementation of a decimation filter for hearing aid applications V Venugopal, KH Abed, SB Nerurkar Proceedings. IEEE SoutheastCon, 2005., 111-115, 2005 | 17 | 2005 |
| High speed digital filter design using minimal signed digit representation KH Abed, V Venugopal, SB Nerurkar Proceedings. IEEE SoutheastCon, 2005., 105-110, 2005 | 16 | 2005 |
| Deep convolutional neural networks for crack detection from image data MJ Giering, KK Reddy, V Venugopalan US Patent 10,860,879, 2020 | 13 | 2020 |
| System-level framework for logic obfuscation with quantified metrics for evaluation VV Menon, G Kolhe, A Schmidt, J Monson, M French, Y Hu, PA Beerel, ... 2019 IEEE Cybersecurity Development (SecDev), 89-100, 2019 | 12 | 2019 |
| FIDES: Enhancing trust in reconfigurable based hardware systems DM Shila, V Venugopalan, CD Patterson 2015 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2015 | 12 | 2015 |
| Accelerating particle image velocimetry using hybrid architectures V Venugopal, C Patterson, K Shinpaugh Symposium on Application Accelerators in High-Performance Computing (SAAHPC), 2009 | 12 | 2009 |
| Sensor data fusion for prognostics and health monitoring MJ Giering, M Shashanka, S Sarkar, V Venugopalan US Patent 11,340,602, 2022 | 9 | 2022 |
| Material detection systems V Venugopalan, MJ Giering, KK Reddy US Patent US20170227673A1, 2017 | 9 | 2017 |
Michael GieringFree AgentVerified email at RTX.com
