☰

Naveen Verma - Publications

Affiliations: 
Electrical Engineering Princeton University, Princeton, NJ 
Area:
Biological & Biomedical,Computing & Networking,High-Performance Computing,Integrated Electronic Systems
Tree Info Similar researchers PubMed Report error

64 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Aygun LE, Kumar V, Weaver C, Gerber M, Wagner S, Verma N, Glisic B, Sturm JC. Large-Area Resistive Strain Sensing Sheet for Structural Health Monitoring. Sensors (Basel, Switzerland). 20. PMID 32138331 DOI: 10.3390/S20051386  0.316
2020 Tang Y, Jia H, Verma N. Reducing Energy of Approximate Feature Extraction in Heterogeneous Architectures for Sensor Inference via Energy-Aware Genetic Programming Ieee Transactions On Circuits and Systems I-Regular Papers. 67: 1576-1587. DOI: 10.1109/Tcsi.2019.2961643  0.351
2020 Jia H, Valavi H, Tang Y, Zhang J, Verma N. A Programmable Heterogeneous Microprocessor Based on Bit-Scalable In-Memory Computing Ieee Journal of Solid-State Circuits. 55: 2609-2621. DOI: 10.1109/Jssc.2020.2987714  0.416
2019 Aygun LE, Kumar P, Zheng Z, Chen TS, Wagner S, Sturm JC, Verma N. Hybrid LAE-CMOS Force-sensing System Employing TFT-based Compressed Sensing for Scalability of Tactile Sensing Skins. Ieee Transactions On Biomedical Circuits and Systems. PMID 31634845 DOI: 10.1109/Tbcas.2019.2948326  0.418
2019 Tang Y, Zhang J, Verma N. Scaling Up In-Memory-Computing Classifiers via Boosted Feature Subsets in Banked Architectures Ieee Transactions On Circuits and Systems Ii: Express Briefs. 66: 477-481. DOI: 10.1109/Tcsii.2018.2854759  0.375
2019 Verma N, Jia H, Valavi H, Tang Y, Ozatay M, Chen L, Zhang B, Deaville P. In-Memory Computing: Advances and Prospects Ieee Solid-State Circuits Magazine. 11: 43-55. DOI: 10.1109/Mssc.2019.2922889  0.428
2019 Valavi H, Ramadge PJ, Nestler E, Verma N. A 64-Tile 2.4-Mb In-Memory-Computing CNN Accelerator Employing Charge-Domain Compute Ieee Journal of Solid-State Circuits. 54: 1789-1799. DOI: 10.1109/Jssc.2019.2899730  0.36
2019 Chen L, Tao S, Verma N. A 3-D IC for Mitigating Energy of Memory Accessing and Data Movement in Accelerator- Based Streaming Architectures Ieee Journal of Solid-State Circuits. 54: 1778-1788. DOI: 10.1109/Jssc.2019.2892605  0.35
2019 Ozatay M, Verma N. Exploiting Emerging Sensing Technologies Toward Structure in Data for Enhancing Perception in Human-Centric Applications Ieee Internet of Things Journal. 6: 3411-3422. DOI: 10.1109/Jiot.2018.2883905  0.383
2019 Zhang J, Verma N. An In-memory-Computing DNN Achieving 700 TOPS/W and 6 TOPS/mm2 in 130-nm CMOS Ieee Journal On Emerging and Selected Topics in Circuits and Systems. 9: 358-366. DOI: 10.1109/Jetcas.2019.2912352  0.421
2018 Tang Y, Verma N. Energy-Efficient Pedestrian Detection System: Exploiting Statistical Error Compensation for Lossy Memory Data Compression Ieee Transactions On Very Large Scale Integration Systems. 26: 1301-1311. DOI: 10.1109/Tvlsi.2018.2808104  0.443
2018 Lu J, Jia H, Verma N, Jha NK. Genetic Programming for Energy-Efficient and Energy-Scalable Approximate Feature Computation in Embedded Inference Systems Ieee Transactions On Computers. 67: 222-236. DOI: 10.1109/Tc.2017.2738642  0.448
2018 O'Leary G, Groppe DM, Valiante TA, Verma N, Genov R. NURIP: Neural Interface Processor for Brain-State Classification and Programmable-Waveform Neurostimulation Ieee Journal of Solid-State Circuits. 53: 3150-3162. DOI: 10.1109/Jssc.2018.2869579  0.406
2018 Jia H, Verma N. Exploiting Approximate Feature Extraction via Genetic Programming for Hardware Acceleration in a Heterogeneous Microprocessor Ieee Journal of Solid-State Circuits. 53: 1016-1027. DOI: 10.1109/Jssc.2017.2787762  0.42
2018 Afsar Y, Moy T, Brady N, Wagner S, Sturm JC, Verma N. An Architecture for Large-Area Sensor Acquisition Using Frequency-Hopping ZnO TFT DCOs Ieee Journal of Solid-State Circuits. 53: 297-308. DOI: 10.1109/Jssc.2017.2740383  0.384
2017 Wang Z, Verma N. A Low-Energy Machine-Learning Classifier Based on Clocked Comparators for Direct Inference on Analog Sensors Ieee Transactions On Circuits and Systems I-Regular Papers. 64: 2954-2965. DOI: 10.1109/Tcsi.2017.2703880  0.456
2017 Zhang J, Wang Z, Verma N. In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array Ieee Journal of Solid-State Circuits. 52: 915-924. DOI: 10.1109/Jssc.2016.2642198  0.404
2017 Sanz-Robinson J, Moy T, Huang L, Rieutort-Louis W, Hu Y, Wagner S, Sturm JC, Verma N. Large-Area Electronics: A Platform for Next-Generation Human- Computer Interfaces Ieee Journal On Emerging and Selected Topics in Circuits and Systems. 7: 38-49. DOI: 10.1109/Jetcas.2016.2620474  0.389
2016 Moy T, Rieutort-Louis W, Wagner S, Sturm JC, Verma N. A Thin-Film, Large-Area Sensing and Compression System for Image Detection Ieee Transactions On Circuits and Systems I-Regular Papers. 63: 1833-1844. DOI: 10.1109/Tcsi.2016.2600498  0.42
2016 Lu J, Verma N, Jha NK. Compressed Signal Processing on Nyquist-Sampled Signals Ieee Transactions On Computers. 65: 3293-3303. DOI: 10.1109/Tc.2016.2532861  0.456
2016 Wang Z, Zhang J, Verma N. Reducing Quantization Errors for Inner-Product Operations in Embedded Digital Signal Processing Systems [Tips&Tricks] Ieee Signal Processing Magazine. 33: 141-147. DOI: 10.1109/Msp.2016.2585278  0.408
2016 Moy T, Huang L, Rieutort-Louis W, Wu C, Cuff P, Wagner S, Sturm JC, Verma N. An EEG Acquisition and Biomarker-Extraction System Using Low-Noise-Amplifier and Compressive-Sensing Circuits Based on Flexible, Thin-Film Electronics Ieee Journal of Solid-State Circuits. DOI: 10.1109/Jssc.2016.2598295  0.396
2016 Sanz-Robinson J, Huang L, Moy T, Rieutort-Louis W, Hu Y, Wagner S, Sturm JC, Verma N. Large-Area Microphone Array for Audio Source Separation Based on a Hybrid Architecture Exploiting Thin-Film Electronics and CMOS Ieee Journal of Solid-State Circuits. 51: 979-991. DOI: 10.1109/Jssc.2015.2501426  0.363
2015 Wang Z, Zhang J, Verma N. Realizing Low-Energy Classification Systems by Implementing Matrix Multiplication Directly Within an ADC. Ieee Transactions On Biomedical Circuits and Systems. 9: 825-37. PMID 26849205 DOI: 10.1109/Tbcas.2015.2500101  0.459
2015 Wang Z, Lee KH, Verma N. Overcoming Computational Errors in Sensing Platforms Through Embedded Machine-Learning Kernels Ieee Transactions On Very Large Scale Integration (Vlsi) Systems. 23: 1459-1470. DOI: 10.1109/Tvlsi.2014.2342153  0.599
2015 Shoaib M, Jha NK, Verma N. Signal processing with direct computations on compressively sensed data Ieee Transactions On Very Large Scale Integration (Vlsi) Systems. 23: 30-43. DOI: 10.1109/Tvlsi.2014.2301733  0.446
2015 Tao S, Abbe E, Verma N. Statistical ADC enhanced by pipelining and subranging Ieee Transactions On Circuits and Systems Ii: Express Briefs. 62: 538-542. DOI: 10.1109/Tcsii.2015.2407231  0.305
2015 Wang Z, Schapire RE, Verma N. Error Adaptive Classifier Boosting (EACB): Leveraging Data-Driven Training Towards Hardware Resilience for Signal Inference Ieee Transactions On Circuits and Systems I: Regular Papers. 62: 1136-1145. DOI: 10.1109/Tcsi.2015.2395591  0.42
2015 Rieutort-Louis WSA, Sanz-Robinson J, Moy T, Huang L, Hu Y, Afsar Y, Sturm JC, Verma N, Wagner S. Integrating and Interfacing Flexible Electronics in Hybrid Large-Area Systems Ieee Transactions On Components, Packaging and Manufacturing Technology. 5: 1219-1229. DOI: 10.1109/Tcpmt.2015.2448755  0.342
2015 Rieutort-Louis W, Moy T, Wang Z, Wagner S, Sturm JC, Verma N. A Large-Area Image Sensing and Detection System Based on Embedded Thin-Film Classifiers Ieee Journal of Solid-State Circuits. DOI: 10.1109/Jssc.2015.2489842  0.443
2015 Huang L, Rieutort-Louis W, Gualdino A, Teagno L, Hu Y, Mouro J, Sanz-Robinson J, Sturm JC, Wagner S, Chu V, Conde JP, Verma N. A System Based on Capacitive Interfacing of CMOS With Post-Processed Thin-Film MEMS Resonators Employing Synchronous Readout for Parasitic Nulling Ieee Journal of Solid-State Circuits. 50: 1002-1015. DOI: 10.1109/Jssc.2014.2380440  0.317
2015 Zhang J, Wang Z, Verma N. A matrix-multiplying ADC implementing a machine-learning classifier directly with data conversion Digest of Technical Papers - Ieee International Solid-State Circuits Conference. 58: 332-333. DOI: 10.1109/ISSCC.2015.7063061  0.332
2015 Zhang J, Huang L, Wang Z, Verma N. A seizure-detection IC employing machine learning to overcome data-conversion and analog-processing non-idealities Proceedings of the Custom Integrated Circuits Conference. 2015. DOI: 10.1109/CICC.2015.7338456  0.327
2015 Verma N, Wang Z, Zhang J. A look at signal analysis in resource-constrained medical-sensor applications Ieee Biomedical Circuits and Systems Conference: Engineering For Healthy Minds and Able Bodies, Biocas 2015 - Proceedings. DOI: 10.1109/BioCAS.2015.7348312  0.336
2014 Shoaib M, Lee KH, Jha NK, Verma N. A 0.6-107 μw energy-scalable processor for directly analyzing compressively-sensed EEG Ieee Transactions On Circuits and Systems I: Regular Papers. 61: 1105-1118. DOI: 10.1109/Tcsi.2013.2285912  0.64
2014 Hu Y, Rieutort-Louis WSA, Sanz-Robinson J, Huang L, Glisic B, Sturm JC, Wagner S, Verma N. Large-scale sensing system combining large-area electronics and cmos ics for structural-health monitoring Ieee Journal of Solid-State Circuits. 49: 513-523. DOI: 10.1109/Jssc.2013.2295979  0.354
2014 Hu Y, Huang L, Rieutort-Louis WSA, Sanz-Robinson J, Sturm JC, Wagner S, Verma N. A self-powered system for large-scale strain sensing by combining CMOS ICs with large-area electronics Ieee Journal of Solid-State Circuits. 49: 838-850. DOI: 10.1109/Jssc.2013.2294326  0.406
2014 Rieutort-Louis W, Huang L, Hu Y, Sanz-Robinson J, Wagner S, Sturm JC, Verma N. A complete fully thin-film pv harvesting and power-management system on plastic with on-sheet battery management and wireless power delivery to off-sheet loads Ieee Journal of Photovoltaics. 4: 432-439. DOI: 10.1109/Jphotov.2013.2285959  0.328
2014 Wang Z, Verma N. Enabling hardware relaxations through statistical learning 2014 52nd Annual Allerton Conference On Communication, Control, and Computing, Allerton 2014. 319-326. DOI: 10.1109/ALLERTON.2014.7028472  0.333
2014 Wang Z, Lee KH, Verma N. Hardware Specialization in Low-power Sensing Applications to Address Energy and Resilience Journal of Signal Processing Systems. 78: 49-62. DOI: 10.1007/s11265-014-0931-y  0.61
2013 Shoaib M, Jha NK, Verma N. Algorithm-driven architectural design space exploration of domain-specific medical-sensor processors Ieee Transactions On Very Large Scale Integration (Vlsi) Systems. 21: 1849-1862. DOI: 10.1109/Tvlsi.2012.2220161  0.494
2013 Lee KH, Verma N. A low-power processor with configurable embedded machine-learning accelerators for high-order and adaptive analysis of medical-sensor signals Ieee Journal of Solid-State Circuits. 48: 1625-1637. DOI: 10.1109/Jssc.2013.2253226  0.658
2013 Lee KH, Wang Z, Verma N. Hardware specialization of machine-learning kernels: Possibilities for applications and possibilities for the platform design space (invited) Ieee Workshop On Signal Processing Systems, Sips: Design and Implementation. 330-335.  0.596
2013 Lee KH, Verma N. A low-power microprocessor for data-driven analysis of analytically- intractable physiological signals in advanced medical sensors Ieee Symposium On Vlsi Circuits, Digest of Technical Papers. C250-C251.  0.617
2012 Calhoun B, Chandrakasan AP, Otis B, Verma N, Yoo HJ. Guest editorial emerging circuits and systems techniques for ultra-low power body sensor networks Ieee Journal On Emerging and Selected Topics in Circuits and Systems. 2: 1-3. DOI: 10.1109/Jetcas.2012.2187708  0.353
2012 Verma N, Lee KH, Jang KJ, Shoeb A. Enabling system-level platform resilience through embedded data-driven inference capabilities in electronic devices Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5285-5288. DOI: 10.1109/ICASSP.2012.6289113  0.56
2012 Lee KH, Verma N. A 1.2-0.55V general-purpose biomedical processor with configurable machine-learning accelerators for high-order, patient-adaptive monitoring European Solid-State Circuits Conference. 285-288. DOI: 10.1109/ESSCIRC.2012.6341275  0.603
2012 Shoaib M, Jha NK, Verma N. A compressed-domain processor for seizure detection to simultaneously reduce computation and communication energy Proceedings of the Custom Integrated Circuits Conference. DOI: 10.1109/CICC.2012.6330601  0.365
2012 Lee KH, Kung SY, Verma N. Low-energy formulations of support vector machine kernel functions for biomedical sensor applications Journal of Signal Processing Systems. 69: 339-349. DOI: 10.1007/s11265-012-0672-8  0.606
2012 Shoaib M, Jha NK, Verma N. Enabling advanced inference on sensor nodes through direct use of compressively-sensed signals Proceedings -Design, Automation and Test in Europe, Date. 437-442.  0.322
2011 Lee KH, Jang KJ, Shoeb A, Verma N. A data-driven modeling approach to stochastic computation for low-energy biomedical devices. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 826-9. PMID 22254438 DOI: 10.1109/IEMBS.2011.6090189  0.581
2011 Verma N, Lee KH, Shoeb A. Data-driven approaches for computation in intelligent biomedical devices: A case study of EEG monitoring for chronic seizure detection Journal of Low Power Electronics and Applications. 1: 150-174. DOI: 10.3390/Jlpea1010150  0.619
2011 Verma N. Analysis towards minimization of total SRAM energy over active and idle operating modes Ieee Transactions On Very Large Scale Integration (Vlsi) Systems. 19: 1695-1703. DOI: 10.1109/Tvlsi.2010.2055906  0.419
2011 Lee KH, Kung SY, Verma N. Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1597-1600. DOI: 10.1109/ICASSP.2011.5946802  0.575
2011 Shoaib M, Jha N, Verma N. A low-energy computation platform for data-driven biomedical monitoring algorithms Proceedings - Design Automation Conference. 591-596.  0.381
2010 Verma N, Shoeb A, Bohorquez J, Dawson J, Guttag J, Chandrakasan AP. A micro-power EEG acquisition SoC with integrated feature extraction processor for a chronic seizure detection system Ieee Journal of Solid-State Circuits. 45: 804-816. DOI: 10.1109/Jssc.2010.2042245  0.413
2009 Sinangil ME, Verma N, Chandrakasan AP. A reconfigurable 8T ultra-dynamic voltage scalable (U-DVS) SRAM in 65 nm CMOS Ieee Journal of Solid-State Circuits. 44: 3163-3173. DOI: 10.1109/Jssc.2009.2032493  0.369
2009 Kwong J, Ramadass YK, Verma N, Chandrakasan AP. A 65 nm Sub-t microcontroller with integrated SRAM and switched capacitor DC-DC converter Ieee Journal of Solid-State Circuits. 44: 115-126. DOI: 10.1109/Jssc.2008.2007160  0.348
2009 Verma N, Chandrakasan AP. A high-density 45 nm SRAM using small-signal non-strobed regenerative sensing Ieee Journal of Solid-State Circuits. 44: 163-173. DOI: 10.1109/Jssc.2008.2006428  0.389
2008 Chandrakasan AP, Verma N, Daly DC. Ultralow-power electronics for biomedical applications. Annual Review of Biomedical Engineering. 10: 247-74. PMID 18647116 DOI: 10.1146/Annurev.Bioeng.10.061807.160547  0.422
2008 Verma N, Kwong J, Chandrakasan AP. Nanometer MOSFET variation in minimum energy subthreshold circuits Ieee Transactions On Electron Devices. 55: 163-174. DOI: 10.1109/Ted.2007.911352  0.397
2008 Verma N, Chandrakasan AP. A 256 kb 65 nm 8T Subthreshold SRAM Employing Sense-Amplifier Redundancy Ieee Journal of Solid-State Circuits. 43: 141-149. DOI: 10.1109/Jssc.2007.908005  0.355
2007 Verma N, Chandrakasan AP. An ultra low energy 12-bit rate-resolution scalable SAR ADC for wireless sensor nodes Ieee Journal of Solid-State Circuits. 42: 1196-1205. DOI: 10.1109/Jssc.2007.897157  0.389
2005 Calhoun BH, Daly DC, Verma N, Finchelstein DF, Wentzloff DD, Wang A, Cho SH, Chandrakasan AP. Design considerations for ultra-low energy wireless microsensor nodes Ieee Transactions On Computers. 54: 727-740. DOI: 10.1109/Tc.2005.98  0.393
Show low-probability matches.