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ORCIDNikil D. Dutt
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- affiliation: University of California, Irvine, Department of Computer Science, CA, USA
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2020 – today
- 2024
[j188]Caio Batista de Melo
, Marzieh Ashrafiamiri, Minjun Seo, Fadi J. Kurdahi, Nikil D. Dutt:
SAFER: Safety Assurances for Emergent Behavior. IEEE Des. Test 41(4): 17-25 (2024)- [j187]Rajat Bhattacharjya, Arnab Sarkar, Biswadip Maity, Nikil D. Dutt:
MUSIC-Lite: Efficient MUSIC Using Approximate Computing: An OFDM Radar Case Study. IEEE Embed. Syst. Lett. 16(4): 329-332 (2024) - [j186]Ping-Xiang Chen, Dongjoo Seo, Nikil D. Dutt:
FDPFS: Leveraging File System Abstraction for FDP SSD Data Placement. IEEE Embed. Syst. Lett. 16(4): 349-352 (2024) - [j185]Milad Asgari Mehrabadi, Elahe Khatibi, Tamara Jimah, Sina Labbaf, Holly Borg, Laura Narvaez, Pamela Pimentel, Arlene Turner, Nikil D. Dutt, Yuqing Guo, Amir M. Rahmani:
PERFECT: Personalized Exercise Recommendation Framework and architECTure. ACM Trans. Comput. Heal. 5(4): 25:1-25:25 (2024) - [j184]Ping-Xiang Chen, Dongjoo Seo, Changhoon Sung, Jongheum Park, Minchul Lee, Huaicheng Li, Matias Bjørling, Nikil D. Dutt:
ZoneTrace: Zone Monitoring Tool for F2FS on ZNS SSDs. ACM Trans. Design Autom. Electr. Syst. 29(5): 1-15 (2024) - [c367]Saehanseul Yi, Nikil D. Dutt:
BoostIID: Fault-agnostic Online Detection of WCET Changes in Autonomous Driving. ASPDAC 2024: 704-709 - [c366]Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications. CODES+ISSS 2024: 6 - [c365]Danny Abraham, Biswadip Maity, Bryan Donyanavard, Nikil D. Dutt:
Back to the Future: Reversible Runtime Neural Network Pruning for Safe Autonomous Systems. DATE 2024: 1-6 - [c364]Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness. DATE 2024: 1-2 - [c363]Ping-Xiang Chen, Dongjoo Seo, Biswadip Maity, Nikil D. Dutt:
KDTree-SOM: Self-organizing Map based Anomaly Detection for Lightweight Autonomous Embedded Systems. ACM Great Lakes Symposium on VLSI 2024: 700-705 - [c362]Dongjoo Seo, Yongsoo Joo, Nikil D. Dutt:
Improving Virtualized I/O Performance by Expanding the Polled I/O Path of Linux. HotStorage 2024 - [c361]Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. ISLPED 2024: 1-6 - [c360]Mattia Giovanni Campana, Nikil D. Dutt:
Message from the DM-SmartHealth 2024 Co-Chairs; SMARTCOMP 2024. SMARTCOMP 2024: xx - [i47]Seyed Amir Hossein Aqajari, Sina Labbaf, Phuc Hoang Tran, Brenda Nguyen, Milad Asgari Mehrabadi, Marco Levorato, Nikil D. Dutt, Amir M. Rahmani:
Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings. CoRR abs/2401.05367 (2024) - [i46]Zhongqi Yang, Yuning Wang, Ken S. Yamashita, Maryam Sabah, Elahe Khatibi, Iman Azimi, Nikil D. Dutt, Jessica L. Borelli, Amir M. Rahmani:
Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecasting. CoRR abs/2403.13841 (2024) - [i45]Rajat Bhattacharjya, Arnab Sarkar, Biswadip Maity, Nikil D. Dutt:
MUSIC-lite: Efficient MUSIC using Approximate Computing: An OFDM Radar Case Study. CoRR abs/2407.04849 (2024) - [i44]Seyed Amir Hossein Aqajari, Ziyu Wang, Ali Tazarv, Sina Labbaf, Salar Jafarlou, Brenda Nguyen, Nikil D. Dutt, Marco Levorato, Amir M. Rahmani:
Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach. CoRR abs/2407.08215 (2024) - [i43]Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Brenda Nguyen, Hana Qureshi, Christopher Marcotullio, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani:
Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. CoRR abs/2410.00020 (2024) - 2023
- [j183]Caio Batista de Melo, Nikil D. Dutt:
LOCoCAT: Low-Overhead Classification of CAN Bus Attack Types. IEEE Embed. Syst. Lett. 15(4): 178-181 (2023) - [j182]Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
DynaFuse: Dynamic Fusion for Resource Efficient Multimodal Machine Learning Inference. IEEE Embed. Syst. Lett. 15(4): 222-225 (2023) - [j181]Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani:
ZotCare: a flexible, personalizable, and affordable mhealth service provider. Frontiers Digit. Health 5 (2023) - [j180]Emad Kasaeyan Naeini, Fatemeh Sarhaddi, Iman Azimi, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani:
A Deep Learning-based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability. ACM Trans. Comput. Heal. 4(4): 24:1-24:22 (2023) - [j179]Saehanseul Yi, Tae-Wook Kim, Jong-Chan Kim, Nikil D. Dutt:
EASYR: Energy-Efficient Adaptive System Reconfiguration for Dynamic Deadlines in Autonomous Driving on Multicore Processors. ACM Trans. Embed. Comput. Syst. 22(3): 52:1-52:29 (2023) - [j178]Adarsha Balaji, Phu Khanh Huynh, Francky Catthoor, Nikil D. Dutt, Jeffrey L. Krichmar, Anup Das:
NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware. IEEE Trans. Emerg. Top. Comput. 11(2): 373-387 (2023) - [c359]Elahe Khatibi, Mahyar Abbasian, Iman Azimi, Sina Labbaf, Mohammad Feli, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani:
Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach. BSN 2023: 1-4 - [c358]Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani:
Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. BSN 2023: 1-4 - [c357]Ali Tazarv, Sina Labbaf, Amir-Mohammad Rahmani, Nikil D. Dutt, Marco Levorato:
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. CHASE 2023: 44-55 - [c356]Bryan Donyanavard, Nikil D. Dutt, Biswadip Maity, Parth Malani, Tiago Mück:
Tutorial: MARS: A Framework for Runtime Monitoring, Modeling, and Management of Realtime Systems. CODES+ISSS 2023: 3-4 - [c355]Nikil D. Dutt, Bryan Donyanavard:
Lightning Talk: The New Era of Computational Cognitive Intelligence. DAC 2023: 1-2 - [c354]Lukas Esterle, Nikil D. Dutt, Christian Gruhl, Peter R. Lewis, Lucio Marcenaro, Carlo S. Regazzoni, Axel Jantsch:
Self-awareness in Cyber-Physical Systems: Recent Developments and Open Challenges. DATE 2023: 1-6 - [c353]Nora Sperling, Alex Bendrick, Dominik Stöhrmann, Rolf Ernst, Bryan Donyanavard, Florian Maurer, Oliver Lenke, Anmol Surhonne, Andreas Herkersdorf, Walaa Amer, Caio Batista de Melo, Ping-Xiang Chen, Quang Anh Hoang, Rachid Karami, Biswadip Maity, Paul Nikolian, Mariam Rakka, Dongjoo Seo, Saehanseul Yi, Minjun Seo, Nikil D. Dutt, Fadi J. Kurdahi:
Information Processing Factory 2.0 - Self-awareness for Autonomous Collaborative Systems. DATE 2023: 1-6 - [c352]Rajat Bhattacharjya, Biswadip Maity, Nikil D. Dutt:
Locate: Low-Power Viterbi Decoder Exploration using Approximate Adders. ACM Great Lakes Symposium on VLSI 2023: 409-413 - [c351]Dongjoo Seo, Ping-Xiang Chen, Huaicheng Li, Matias Bjørling, Nikil D. Dutt:
Is Garbage Collection Overhead Gone? Case study of F2FS on ZNS SSDs. HotStorage 2023: 102-108 - [c350]Renira Soares, Matheus Isquierdo, Felipe Sampaio, Amir Rahmani, Nikil D. Dutt, Guilherme Corrêa, Daniel Palomino, Bruno Zatt:
Error Resilience Evaluation of Approximate Storage in the Motion Compensation of VVC Decoders. LASCAS 2023: 1-4 - [c349]Raghav Mehrotra-Venkat, Nikil D. Dutt, Julie Rousseau:
Robust Detection of Social Isolation in Older Adults by Combining Biometrics with Social Interaction Data. SMARTCOMP 2023: 230-232 - [i42]Rajat Bhattacharjya, Biswadip Maity, Nikil D. Dutt:
Locate: Low-Power Viterbi Decoder Exploration using Approximate Adders. CoRR abs/2304.03257 (2023) - [i41]Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato:
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. CoRR abs/2305.00111 (2023) - [i40]Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani:
ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider. CoRR abs/2307.01905 (2023) - [i39]Manoj Vishwanath, Steven Cao, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao:
Reducing Intraspecies and Interspecies Covariate Shift in Traumatic Brain Injury EEG of Humans and Mice Using Transfer Euclidean Alignment. CoRR abs/2310.02398 (2023) - [i38]Neil Thanawala, Hamid Nejatollahi, Nikil D. Dutt:
Accelerating Polynomial Multiplication for RLWE using Pipelined FFT. IACR Cryptol. ePrint Arch. 2023: 1815 (2023) - 2022
- [j177]Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Iman Azimi, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, 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. Frontiers Digit. Health 4 (2022) - [j176]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) - [j175]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) - [j174]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) - [j173]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) - [c348]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 - [c347]Salar Jafarlou, Amir M. Rahmani, Nikil D. Dutt, Sanaz Rahimi Moosavi:
ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks. EMBC 2022: 1366-1370 - [c346]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 - [c345]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 - [c344]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 - [c343]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 - [c342]Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani:
Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. ICCD 2022: 652-655 - [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
- [j172]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) - [j171]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) - [j170]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) - [j169]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) - [j168]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) - [j167]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) - [j166]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) - [j165]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 Michael 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
- [j164]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) - [j163]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) - [j162]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) - [j161]Nikil D. Dutt, Carlo S. Regazzoni, Bernhard Rinner, Xin Yao:
Self-Awareness for Autonomous Systems. Proc. IEEE 108(7): 971-975 (2020) - [j160]Henry Hoffmann, Axel Jantsch, Nikil D. Dutt:
Embodied Self-Aware Computing Systems. Proc. IEEE 108(7): 1027-1046 (2020) - [j159]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) - [j158]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) - [j157]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) - [j156]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) - [j155]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) - [j154]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) - [j153]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) - [j152]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) - [j151]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]