| 2022 roadmap on neuromorphic computing and engineering DV Christensen, R Dittmann, B Linares-Barranco, A Sebastian, ... Neuromorphic Computing and Engineering 2 (2), 022501, 2022 | 420 | 2022 |
| A 167-processor computational platform in 65 nm CMOS DN Truong, WH Cheng, T Mohsenin, Z Yu, AT Jacobson, G Landge, ... IEEE Journal of Solid-State Circuits 44 (4), 1130-1144, 2009 | 315 | 2009 |
| Accelerating convolutional neural network with FFT on embedded hardware T Abtahi, C Shea, A Kulkarni, T Mohsenin IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (9 …, 2018 | 147 | 2018 |
| A low-complexity message-passing algorithm for reduced routing congestion in LDPC decoders T Mohsenin, DN Truong, BM Baas IEEE Transactions on Circuits and Systems I: Regular Papers 57 (5), 1048-1061, 2010 | 129 | 2010 |
| An asynchronous array of simple processors for DSP applications Z Yu, M Meeuwsen, R Apperson, O Sattari, M Lai, J Webb, E Work, ... 2006 IEEE International Solid State Circuits Conference-Digest of Technical …, 2006 | 122 | 2006 |
| A flexible multichannel EEG feature extractor and classifier for seizure detection A Page, C Sagedy, E Smith, N Attaran, T Oates, T Mohsenin IEEE Transactions on Circuits and Systems II: Express Briefs 62 (2), 109-113, 2014 | 117 | 2014 |
| Deep belief networks used on high resolution multichannel electroencephalography data for seizure detection JT Turner, A Page, T Mohsenin, T Oates 2014 aaai spring symposium series, 2014 | 116 | 2014 |
| Utilizing deep neural nets for an embedded ECG-based biometric authentication system A Page, A Kulkarni, T Mohsenin 2015 IEEE biomedical circuits and systems conference (BioCAS), 1-4, 2015 | 115 | 2015 |
| AsAP: An asynchronous array of simple processors Z Yu, MJ Meeuwsen, RW Apperson, O Sattari, M Lai, JW Webb, EW Work, ... IEEE Journal of Solid-State Circuits 43 (3), 695-705, 2008 | 115 | 2008 |
| High performance compressive sensing reconstruction hardware with QRD process JLVM Stanislaus, T Mohsenin 2012 IEEE international symposium on circuits and systems (ISCAS), 29-32, 2012 | 110 | 2012 |
| A scalable dual-clock FIFO for data transfers between arbitrary and haltable clock domains RW Apperson, Z Yu, MJ Meeuwsen, T Mohsenin, BM Baas IEEE Transactions on Very Large Scale Integration (VLSI) Systems 15 (10 …, 2007 | 106 | 2007 |
| Low overhead architectures for OMP compressive sensing reconstruction algorithm A Kulkarni, T Mohsenin IEEE Transactions on Circuits and Systems I: Regular Papers 64 (6), 1468-1480, 2017 | 97 | 2017 |
| SVM-based real-time hardware Trojan detection for many-core platform A Kulkarni, Y Pino, T Mohsenin 2016 17th International Symposium on Quality Electronic Design (ISQED), 362-367, 2016 | 97 | 2016 |
| Sensornet: A scalable and low-power deep convolutional neural network for multimodal data classification A Jafari, A Ganesan, CSK Thalisetty, V Sivasubramanian, T Oates, ... IEEE Transactions on Circuits and Systems I: Regular Papers 66 (1), 274-287, 2018 | 96 | 2018 |
| A 167-processor 65 nm computational platform with per-processor dynamic supply voltage and dynamic clock frequency scaling D Truong, W Cheng, T Mohsenin, Z Yu, T Jacobson, G Landge, ... 2008 IEEE Symposium on VLSI Circuits, 22-23, 2008 | 90 | 2008 |
| 2smart: A two-stage machine learning-based approach for run-time specialized hardware-assisted malware detection H Sayadi, HM Makrani, SMP Dinakarrao, T Mohsenin, A Sasan, ... 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 728-733, 2019 | 89 | 2019 |
| Adaptive real-time Trojan detection framework through machine learning A Kulkarni, Y Pino, T Mohsenin 2016 IEEE international symposium on hardware oriented security and trust …, 2016 | 88 | 2016 |
| Wearable seizure detection using convolutional neural networks with transfer learning A Page, C Shea, T Mohsenin 2016 IEEE international symposium on circuits and systems (ISCAS), 1086-1089, 2016 | 86 | 2016 |
| Low-complexity FPGA implementation of compressive sensing reconstruction JLVM Stanislaus, T Mohsenin 2013 International conference on computing, networking and communications …, 2013 | 78 | 2013 |
| Real-time anomaly detection framework for many-core router through machine-learning techniques A Kulkarni, Y Pino, M French, T Mohsenin ACM Journal on Emerging Technologies in Computing Systems (JETC) 13 (1), 1-22, 2016 | 76 | 2016 |
