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Nikil Dutt

Department of Computer Science, University of California, Irvine

Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being


Dec 15, 2020
Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil Dutt, Ramesh Jain, Jessica L. Borelli


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Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS


Nov 12, 2020
Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A Downs, Nikil Dutt, Amir M Rahmani


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R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving


Oct 23, 2020
Wonseok Jang, Hansaem Jeong, Kyungtae Kang, Nikil Dutt, Jong-Chan Kim

* 14 pages, 16 figures. Accepted to the 41st IEEE Real-Time Systems Symposium (RTSS), 2020 

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Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition


Sep 19, 2020
Adarsha Balaji, Shihao Song, Anup Das, Jeffrey Krichmar, Nikil Dutt, James Shackleford, Nagarajan Kandasamy, Francky Catthoor

* Accepted for publication of IEEE Embedded Systems Letters 

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Trustworthy AI Inference Systems: An Industry Research View


Aug 10, 2020
Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajan Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton


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The Causality Inference of Public Interest in Restaurants and Bars on COVID-19 Daily Cases in the US: A Google Trends Analysis


Jul 27, 2020
Milad Asgari Mehrabadi, Nikil Dutt, Amir M. Rahmani

* 6 pages, 5 figures, 6 tables 

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GSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data


May 09, 2020
Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Amir M. Rahmani, Nikil Dutt

* There is need changes in the subject of the paper and its contents. If it is possible, it is highly appreciated if you can accept this withdrawal. We want to make sure correct version of the paper is available in public 

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A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing


Nov 01, 2019
Adarsha Balaji, Shihao Song, Anup Das, Nikil Dutt, Jeff Krichmar, Nagarajan Kandasamy, Francky Catthoor

* 4 pages, 5 figures, 13 references, accepted for publication at IEEE Computer Architecture Letters 

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Mapping Spiking Neural Networks to Neuromorphic Hardware


Sep 04, 2019
Adarsha Balaji, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil Dutt, Siebren Schaafsma, Francky Catthoor

* 14 pages, 14 images, 69 references, Accepted in IEEE Transactions on Very Large Scale Integration (VLSI) Systems 

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Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning


Aug 08, 2018
Georgios Detorakis, Sadique Sheik, Charles Augustine, Somnath Paul, Bruno U. Pedroni, Nikil Dutt, Jeffrey Krichmar, Gert Cauwenberghs, Emre Neftci


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Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout


Jul 18, 2017
Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil Dutt, Chris Van Hoof

* 51 pages, 12 figures, 6 tables, 95 references. Under submission at Elsevier Neural Networks 

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