Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNikil D. Dutt
Person information
- affiliation: University of California, Irvine, Department of Computer Science, CA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j175]Sina Shahhosseini, Arman Anzanpour
, Iman Azimi, Sina Labbaf, Dongjoo Seo, Sung-Soo Lim, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani:
Exploring computation offloading in IoT systems. Inf. Syst. 107: 101860 (2022)- [j174]Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks. ACM Trans. Embed. Comput. Syst. 21(6): 73:1-73:25 (2022) - [j173]Eberle A. Rambo, Bryan Donyanavard, Minjun Seo, Florian Maurer, Thawra Kadeed, Caio Batista de Melo, Biswadip Maity, Anmol Surhonne, Andreas Herkersdorf, Fadi J. Kurdahi, Nikil D. Dutt, Rolf Ernst:
The Self-Aware Information Processing Factory Paradigm for Mixed-Critical Multiprocessing. IEEE Trans. Emerg. Top. Comput. 10(1): 250-266 (2022) - [j172]Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. IEEE Trans. Parallel Distributed Syst. 33(2): 288-301 (2022) - [c347]Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems. DATE 2022: 1455-1460 - [c346]Salar Jafarlou, Amir M. Rahmani, Nikil D. Dutt, Sanaz Rahimi Mousavi:
ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks. EMBC 2022: 1366-1370 - [c345]Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Amir Hosein Afandizadeh Zargari, Nikil D. Dutt, Amir M. Rahmani:
Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks. EMBC 2022: 1906-1909 - [c344]Manoj Vishwanath, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao:
Label Alignment Improves EEG-based Machine Learning-based Classification of Traumatic Brain Injury. EMBC 2022: 3546-3549 - [c343]Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil D. Dutt:
Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. ACM Great Lakes Symposium on VLSI 2022: 357-360 - [c342]Khuong Vo, Manoj Vishwanath, Ramesh Srinivasan, Nikil D. Dutt, Hung Cao:
Composing Graphical Models with Generative Adversarial Networks for EEG Signal Modeling. ICASSP 2022: 1231-1235 - [c341]Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das, Jeffrey Kopsick, Eric Scott, Nate Sutton, Killian Weber, Nikil D. Dutt, Jeffrey L. Krichmar:
CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. IJCNN 2022: 1-10 - [c340]Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. ISQED 2022: 1-6 - [c339]Dongjoo Seo, Biswadip Maity, Ping-Xiang Chen, Dukyoung Yun, Bryan Donyanavard, Nikil D. Dutt:
ProSwap: Period-aware Proactive Swapping to Maximize Embedded Application Performance. NAS 2022: 1-4 - [c338]Mingoo Ji, Saehanseul Yi, Changjin Koo, Sol Ahn, Dongjoo Seo, Nikil D. Dutt, Jong-Chan Kim:
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage. RTSS 2022: 291-304 - [c337]Delaram Amiri, Janne Takalo-Mattila, Luca Bedogni, Marco Levorato, Nikil D. Dutt:
SIC-EDGE: Semantic Iterative ECG Compression for Edge-Assisted Wearable Systems. WoWMoM 2022: 377-385 - [i37]Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Amir Hosein Afandizadeh Zargari, Nikil D. Dutt, Amir M. Rahmani:
Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks. CoRR abs/2201.09976 (2022) - [i36]Salar Jafarlou, Jocelyn Lai, Zahra Mousavi, Sina Labbaf, Ramesh C. Jain, Nikil D. Dutt, Jessica L. Borelli, Amir M. Rahmani:
Objective Prediction of Tomorrow's Affect Using Multi-Modal Physiological Data and Personal Chronicles: A Study of Monitoring College Student Well-being in 2020. CoRR abs/2201.11230 (2022) - [i35]Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks. CoRR abs/2202.10541 (2022) - [i34]Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. CoRR abs/2202.11098 (2022) - [i33]Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani:
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. CoRR abs/2208.01095 (2022) - [i32]Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini, Hamidreza Alikhani, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani:
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications. CoRR abs/2208.02597 (2022) - [i31]Mingoo Ji, Saehanseul Yi, Changjin Koo, Sol Ahn, Dongjoo Seo, Nikil D. Dutt, Jong-Chan Kim:
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage. CoRR abs/2210.04024 (2022) - 2021
- [j171]Tianyi Zhang, Minjun Seo, Bryan Donyanavard, Nikil D. Dutt, Fadi J. Kurdahi:
Predicting Failures in Embedded Systems Using Long Short-Term Inference. IEEE Embed. Syst. Lett. 13(3): 85-89 (2021) - [j170]Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. IEEE Embed. Syst. Lett. 13(3): 142-145 (2021) - [j169]Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Dynamic Reliability Management in Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. 17(4): 63:1-63:27 (2021) - [j168]Fatemeh Sarhaddi, Iman Azimi, Sina Labbaf, Hannakaisa Niela-Vilén, Nikil D. Dutt, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani:
Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation. Sensors 21(7): 2281 (2021) - [j167]Biswadip Maity, Bryan Donyanavard, Anmol Surhonne, Amir M. Rahmani, Andreas Herkersdorf, Nikil D. Dutt:
SEAMS: Self-Optimizing Runtime Manager for Approximate Memory Hierarchies. ACM Trans. Embed. Comput. Syst. 20(5): 48:1-48:26 (2021) - [j166]Biswadip Maity, Saehanseul Yi, Dongjoo Seo, Leming Cheng, Sung-Soo Lim, Jong-Chan Kim, Bryan Donyanavard, Nikil D. Dutt:
Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems. ACM Trans. Embed. Comput. Syst. 20(5s): 74:1-74:22 (2021) - [j165]Jurn-Gyu Park, Nikil D. Dutt, Sung-Soo Lim:
An Interpretable Machine Learning Model Enhanced Integrated CPU-GPU DVFS Governor. ACM Trans. Embed. Comput. Syst. 20(6): 108:1-108:28 (2021) - [j164]Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt:
Exploring Energy Efficient Architectures for RLWE Lattice-Based Cryptography. J. Signal Process. Syst. 93(10): 1139-1148 (2021) - [c336]Sina Shahhosseini, Anil Kanduri, Milad Asgari Mehrabadi, Emad Kasaeyan Naeini, Dongjoo Seo, Sung-Soo Lim, Amir M. Rahmani, Nikil D. Dutt:
Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness. AICAS 2021: 1-4 - [c335]Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Nikil D. Dutt, Amir M. Rahmani:
pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity. ANT/EDI40 2021: 99-106 - [c334]Bryan Donyanavard, Tiago Mück, Kasra Moazzemi, Biswadip Maity, Caio Batista de Melo, Kenneth Stewart, Saehanseul Yi, Amir M. Rahmani, Nikil D. Dutt:
Reflecting on Self-Aware Systems-on-Chip. A Journey of Embedded and Cyber-Physical Systems 2021: 79-95 - [c333]Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A. Downs, Nikil D. Dutt, Amir M. Rahmani:
Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS. EMBC 2021: 2140-2143 - [c332]Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil D. Dutt, Amir M. Rahmani, Carolyn E. Jones, Miranda M. Lim, Hung Cao:
Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram. EMBC 2021: 6134-6137 - [c331]Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato:
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. EMBC 2021: 7332-7335 - [c330]Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato:
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. GoodIT 2021: 186-191 - [c329]Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. ICONS 2021: 10:1-10:9 - [c328]Saehanseul Yi, Tae-Wook Kim, Jong-Chan Kim, Nikil D. Dutt:
Energy-Efficient Adaptive System Reconfiguration for Dynamic Deadlines in Autonomous Driving. ISORC 2021: 96-104 - [c327]Khuong Vo, Emad Kasaeyan Naeini, Amir Naderi, Daniel Jilani, Amir M. Rahmani, Nikil D. Dutt, Hung Cao:
P2E-WGAN: ECG waveform synthesis from PPG with conditional wasserstein generative adversarial networks. SAC 2021: 1030-1036 - [i30]Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2103.05707 (2021) - [i29]Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. CoRR abs/2105.01795 (2021) - [i28]Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Dynamic Reliability Management in Neuromorphic Computing. CoRR abs/2105.02038 (2021) - [i27]Saehanseul Yi, Tae-Wook Kim, Jong-Chan Kim, Nikil D. Dutt:
Energy-Efficient Adaptive System Reconfiguration for Dynamic Deadlines in Autonomous Driving. CoRR abs/2106.04508 (2021) - [i26]Tiago Mück, Bryan Donyanavard, Biswadip Maity, Kasra Moazzemi, Nikil D. Dutt:
MARS: Middleware for Adaptive Reflective Computer Systems. CoRR abs/2107.11417 (2021) - [i25]Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato:
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. CoRR abs/2108.00144 (2021) - [i24]Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato:
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. CoRR abs/2108.01169 (2021) - [i23]Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems. CoRR abs/2112.08176 (2021) - 2020
- [j163]Tai Le, Floranne Ellington, Tao-Yi Lee, Khuong Vo, Michelle Khine, Sandeep Kumar Krishnan, Nikil D. Dutt, Hung Cao:
Continuous Non-Invasive Blood Pressure Monitoring: A Methodological Review on Measurement Techniques. IEEE Access 8: 212478-212498 (2020) - [j162]Biswadip Maity, Majid Shoushtari, Amir M. Rahmani, Nikil D. Dutt:
Self-Adaptive Memory Approximation: A Formal Control Theory Approach. IEEE Embed. Syst. Lett. 12(2): 33-36 (2020) - [j161]Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani:
Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems. ACM Trans. Comput. Heal. 1(2): 7:1-7:25 (2020) - [j160]Nikil D. Dutt, Carlo S. Regazzoni, Bernhard Rinner, Xin Yao:
Self-Awareness for Autonomous Systems. Proc. IEEE 108(7): 971-975 (2020) - [j159]Henry Hoffmann, Axel Jantsch, Nikil D. Dutt:
Embodied Self-Aware Computing Systems. Proc. IEEE 108(7): 1027-1046 (2020) - [j158]Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Miranda M. Lim, Nikil D. Dutt, Amir M. Rahmani, Hung Cao:
Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice. Sensors 20(7): 2027 (2020) - [j157]Khuong Vo, Tai Le, Amir M. Rahmani, Nikil D. Dutt, Hung Cao:
An Efficient and Robust Deep Learning Method with 1-D Octave Convolution to Extract Fetal Electrocardiogram. Sensors 20(13): 3757 (2020) - [j156]Amir Mahdi Hosseini Monazzah, Amir M. Rahmani, Antonio Miele, Nikil D. Dutt:
CAST: Content-Aware STT-MRAM Cache Write Management for Different Levels of Approximation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4385-4398 (2020) - [j155]Daniel Peroni, Mohsen Imani, Hamid Nejatollahi, Nikil D. Dutt, Tajana Rosing:
Data Reuse for Accelerated Approximate Warps. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4623-4634 (2020) - [j154]Axel Jantsch, Peter R. Lewis, Nikil D. Dutt:
Introduction to the Special Issue on Self-Aware Cyber-physical Systems. ACM Trans. Cyber Phys. Syst. 4(4): 37:1-37:2 (2020) - [j153]Kirstie L. Bellman, Christopher Landauer, Nikil D. Dutt, Lukas Esterle, Andreas Herkersdorf, Axel Jantsch, Nima Taherinejad, Peter R. Lewis, Marco Platzner, Kalle Tammemäe:
Self-aware Cyber-Physical Systems. ACM Trans. Cyber Phys. Syst. 4(4): 38:1-38:26 (2020) - [j152]Hamid Nejatollahi, Felipe Valencia, Subhadeep Banik, Francesco Regazzoni, Rosario Cammarota, Nikil D. Dutt:
Synthesis of Flexible Accelerators for Early Adoption of Ring-LWE Post-quantum Cryptography. ACM Trans. Embed. Comput. Syst. 19(2): 11:1-11:17 (2020) - [j151]Arman Anzanpour, Delaram Amiri, Iman Azimi, Marco Levorato, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani:
Edge-Assisted Control for Healthcare Internet of Things: A Case Study on PPG-Based Early Warning Score. ACM Trans. Internet Things 2(1): 1:1-1:21 (2020) - [j150]Adarsha Balaji, Francky Catthoor, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma:
Mapping Spiking Neural Networks to Neuromorphic Hardware. IEEE Trans. Very Large Scale Integr. Syst. 28(1): 76-86 (2020) - [c326]Lucretia Williams, Gillian R. Hayes, Yuqing Guo, Amir M. Rahmani, Nikil D. Dutt:
HCI and mHealth Wearable Tech: A Multidisciplinary Research Challenge. CHI Extended Abstracts 2020: 1-7 - [c325]Dongjoo Seo, Sina Shahhosseini, Milad Asgari Mehrabadi, Bryan Donyanavard, Sung-Soo Lim, Amir M. Rahmani, Nikil D. Dutt:
Dynamic iFogSim: A Framework for Full-Stack Simulation of Dynamic Resource Management in IoT Systems. COINS 2020: 1-6 - [c324]Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt:
CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. DAC 2020: 1-6 - [c323]Florian Maurer, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt, Andreas Herkersdorf:
Emergent Control of MPSoC Operation by a Hierarchical Supervisor / Reinforcement Learning Approach. DATE 2020: 1562-1567 - [c322]Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao:
Classification of Electroencephalogram in a Mouse Model of Traumatic Brain Injury Using Machine Learning Approaches*. EMBC 2020: 3335-3338 - [c321]Biswadip Maity, Bryan Donyanavard, Nikil D. Dutt:
Self-aware Memory Management for Emerging Energy-efficient Architectures. IGSC (Workshops) 2020: 1-8 - [c320]Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt:
Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. ICASSP 2020: 1539-1543 - [c319]Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor:
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. IJCNN 2020: 1-10 - [c318]Tao-Yi Lee, Khuong Vo, Wongi Baek, Michelle Khine, Nikil D. Dutt:
STINT: selective transmission for low-energy physiological monitoring. ISLPED 2020: 115-120 - [c317]Wonseok Jang, Hansaem Jeong, Kyungtae Kang, Nikil D. Dutt, Jong-Chan Kim:
R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving. RTSS 2020: 191-204 - [c316]Juho Laitala, Mingzhe Jiang, Elise Syrjälä, Emad Kasaeyan Naeini, Antti Airola, Amir M. Rahmani, Nikil D. Dutt, Pasi Liljeberg:
Robust ECG R-peak detection using LSTM. SAC 2020: 1104-1111 - [i22]Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor:
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. CoRR abs/2003.09696 (2020) - [i21]Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt:
GSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data. CoRR abs/2005.01834 (2020) - [i20]Milad Asgari Mehrabadi, Nikil D. Dutt, Amir M. Rahmani:
The Causality Inference of Public Interest in Restaurants and Bars on COVID-19 Daily Cases in the US: A Google Trends Analysis. CoRR abs/2007.13255 (2020) - [i19]Bryan Donyanavard, Amir M. Rahmani, Axel Jantsch, Onur Mutlu, Nikil D. Dutt:
Intelligent Management of Mobile Systems through Computational Self-Awareness. CoRR abs/2008.00095 (2020) - [i18]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, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton:
Trustworthy AI Inference Systems: An Industry Research View. CoRR abs/2008.04449 (2020) - [i17]Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. CoRR abs/2009.09298 (2020) - [i16]Wonseok Jang, Hansaem Jeong, Kyungtae Kang, Nikil D. Dutt, Jong-Chan Kim:
R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving. CoRR abs/2011.06372 (2020) - [i15]Biswadip Maity, Bryan Donyanavard, Anmol Surhonne, Amir M. Rahmani, Andreas Herkersdorf, Nikil D. Dutt:
AXES: Approximation Manager for Emerging Memory Architectures. CoRR abs/2011.08353 (2020) - [i14]Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A. Downs, Nikil D. Dutt, Amir M. Rahmani:
Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS. CoRR abs/2011.10470 (2020) - [i13]Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil D. Dutt, Ramesh C. Jain, Jessica L. Borelli:
Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being. CoRR abs/2012.09131 (2020) - [i12]Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt:
CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. IACR Cryptol. ePrint Arch. 2020: 276 (2020)
2010 – 2019
- 2019
- [j149]Iman Azimi, Olugbenga Oti, Sina Labbaf, Hannakaisa Niela-Vilén, Anna Axelin, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani:
Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study. IEEE Access 7: 93433-93447 (2019) - [j148]Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeff Krichmar, Nagarajan Kandasamy, Francky Catthoor:
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. IEEE Comput. Archit. Lett. 18(2): 149-152 (2019) - [j147]Hamid Nejatollahi, Nikil D. Dutt, Sandip Ray, Francesco Regazzoni, Indranil Banerjee, Rosario Cammarota:
Post-Quantum Lattice-Based Cryptography Implementations: A Survey. ACM Comput. Surv. 51(6): 129:1-129:41 (2019) - [j146]Antonio Miele, Anil Kanduri, Kasra Moazzemi, Dávid Juhász, Amir-Mohammad Rahmani, Nikil D. Dutt, Pasi Liljeberg, Axel Jantsch:
On-Chip Dynamic Resource Management. Found. Trends Electron. Des. Autom. 13(1-2): 1-14 (2019) - [j145]Gu-Min Jeong, Kyoungwoo Lee, Sang-Il Choi, Sang-Hoon Ji, Nikil D. Dutt:
Effect of Soft Errors in Iterative Learning Control and Compensation using Cross-layer Approach. Int. J. Comput. Commun. Control 14(3): 359-374 (2019) - [j144]André Luís Del Mestre Martins, Rafael Garibotti, Nikil D. Dutt, Fernando Gehm Moraes:
The power impact of hardware and software actuators on self-adaptable many-core systems. J. Syst. Archit. 97: 42-53 (2019) - [j143]André Luís Del Mestre Martins, Alzemiro Henrique Lucas da Silva, Amir M. Rahmani, Nikil D. Dutt, Fernando Gehm Moraes:
Hierarchical adaptive Multi-objective resource management for many-core systems. J. Syst. Archit. 97: 416-427 (2019) - [j142]Michael Beyeler, Emily L. Rounds, Kristofor D. Carlson, Nikil D. Dutt, Jeffrey L. Krichmar:
Neural correlates of sparse coding and dimensionality reduction. PLoS Comput. Biol. 15(6) (2019) - [j141]Lei Yang, Weichen Liu, Nan Guan, Nikil D. Dutt:
Optimal Application Mapping and Scheduling for Network-on-Chips with Computation in STT-RAM Based Router. IEEE Trans. Computers 68(8): 1174-1189 (2019) - [j140]Kasra Moazzemi, Biswadip Maity, Saehanseul Yi, Amir M. Rahmani, Nikil D. Dutt:
HESSLE-FREE: <u>He</u>terogeneou<u>s</u> <u>S</u>ystems <u>Le</u>veraging <u>F</u>uzzy Control for <u>R</u>untim<u>e</u> Resourc<u>e</u> Management. ACM Trans. Embed. Comput. Syst. 18(5s): 74:1-74:19 (2019) - [c315]Arman Anzanpour, Humayun Rashid, Amir M. Rahmani, Axel Jantsch, Nikil D. Dutt, Pasi Liljeberg:
Energy-efficient and Reliable Wearable Internet-of-Things through Fog-Assisted Dynamic Goal Management. ANT/EDI40 2019: 493-500 - [c314]Emad Kasaeyan Naeini, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt:
A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things. ANT/EDI40 2019: 551-558 - [c313]Emad Kasaeyan Naeini, Sina Shahhosseini, Ajan Subramanian, Tingjue Yin, Amir M. Rahmani, Nikil D. Dutt:
An Edge-Assisted and Smart System for Real-Time Pain Monitoring. CHASE 2019: 47-52 - [c312]Eberle A. Rambo, Thawra Kadeed, Rolf Ernst, Minjun Seo, Fadi J. Kurdahi, Bryan Donyanavard, Caio Batista de Melo, Biswadip Maity, Kasra Moazzemi, Kenneth Stewart, Saehanseul Yi, Amir M. Rahmani, Nikil D. Dutt, Florian Maurer, Nguyen Anh Vu Doan, Anmol Surhonne, Thomas Wild, Andreas Herkersdorf:
The information processing factory: a paradigm for life cycle management of dependable systems. CODES+ISSS 2019: 20:1-20:2 - [c311]Daniel Peroni, Mohsen Imani, Hamid Nejatollahi, Nikil D. Dutt, Tajana Rosing:
ARGA: Approximate Reuse for GPGPU Acceleration. DAC 2019: 8 - [c310]Chen-Ying Hsieh, Ardalan Amiri Sani, Nikil D. Dutt:
The Case for Exploiting Underutilized Resources in Heterogeneous Mobile Architectures. DATE 2019: 1265-1268 - [c309]Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt:
Goal-Driven Autonomy for Efficient On-chip Resource Management: Transforming Objectives to Goals. DATE 2019: 1397-1402 - [c308]Tao-Yi Lee, Marco Levorato, Nikil D. Dutt:
DNN-Assisted Sensor for Energy-Efficient ECG Monitoring. GLOBECOM 2019: 1-6 - [c307]Sina Shahhosseini, Iman Azimi, Arman Anzanpour, Axel Jantsch, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani:
Dynamic Computation Migration at the Edge: Is There an Optimal Choice? ACM Great Lakes Symposium on VLSI 2019: 519-524 - [c306]Hamid Nejatollahi, Rosario Cammarota, Nikil D. Dutt:
Flexible NTT Accelerators for RLWE Lattice-Based Cryptography. ICCD 2019: 329-332 - [c305]Biswadip Maity, Bryan Donyanavard, Nalini Venkatasubramanian, Nikil D. Dutt:
Workload Characterization for Memory Management in Emerging Embedded Platforms. IESS 2019: 65-76 - [c304]Kenshu Seto, Hamid Nejatollahi, Jiyoung An, Sujin Kang, Nikil D. Dutt:
Small Memory Footprint Neural Network Accelerators. ISQED 2019: 253-258 - [c303]