Nikil D. Dutt

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 214

Top Venues

CoRR

ACM Trans. Embed. Comput. Syst.

DATE

IEEE Embed. Syst. Lett.

Publications

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 (2024)
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)
Nikil D. Dutt, Bryan Donyanavard
Lightning Talk: The New Era of Computational Cognitive Intelligence. DAC (2023)
Neil Thanawala, Hamid Nejatollahi, Nikil D. Dutt
Accelerating Polynomial Multiplication for RLWE using Pipelined FFT. IACR Cryptol. ePrint Arch. 2023 (2023)
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) (2023)
Ali Tazarv, Sina Labbaf, Amir-Mohammad Rahmani, Nikil D. Dutt, Marco Levorato
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. CHASE (2023)
Rajat Bhattacharjya, Biswadip Maity, Nikil D. Dutt
Locate: Low-Power Viterbi Decoder Exploration using Approximate Adders. ACM Great Lakes Symposium on VLSI (2023)
Rajat Bhattacharjya, Biswadip Maity, Nikil D. Dutt
Locate: Low-Power Viterbi Decoder Exploration using Approximate Adders. CoRR (2023)
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) (2023)
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) (2023)
Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. CoRR (2023)
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)
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)
Caio Batista de Melo, Nikil D. Dutt
LOCoCAT: Low-Overhead Classification of CAN Bus Attack Types. IEEE Embed. Syst. Lett. 15 (4) (2023)
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)
Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani
ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider. CoRR (2023)
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)
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 (2023)
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)
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)
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)
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) (2023)
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 (2022)
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 (2022)
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) (2022)
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 (2022)
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)
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 (2022)
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)
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)
Salar Jafarlou, Jocelyn Lai, Zahra Mousavi, Sina Labbaf, Ramesh 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 (2022)
Salar Jafarlou, Amir M. Rahmani, Nikil D. Dutt, Sanaz Rahimi Mousavi
ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks. EMBC (2022)
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 (2022)
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)
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) (2022)
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)
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) (2022)
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)
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)
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)
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 (2022)
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)
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)
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 (2022)
Khuong Vo, Manoj Vishwanath, Ramesh Srinivasan, Nikil D. Dutt, Hung Cao
Composing Graphical Models with Generative Adversarial Networks for EEG Signal Modeling. ICASSP (2022)
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)
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)
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) (2021)
Saehanseul Yi, Tae-Wook Kim, Jong-Chan Kim, Nikil D. Dutt
Energy-Efficient Adaptive System Reconfiguration for Dynamic Deadlines in Autonomous Driving. CoRR (2021)
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) (2021)
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)
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)
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) (2021)
Tiago Mück, Bryan Donyanavard, Biswadip Maity, Kasra Moazzemi, Nikil D. Dutt
MARS: Middleware for Adaptive Reflective Computer Systems. CoRR (2021)
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 (2021)
Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt
Exploring Energy Efficient Architectures for RLWE Lattice-Based Cryptography. J. Signal Process. Syst. 93 (10) (2021)
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 (2021)
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 (2021)
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)
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) (2021)
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 (2021)
Saehanseul Yi, Tae-Wook Kim, Jong-Chan Kim, Nikil D. Dutt
Energy-Efficient Adaptive System Reconfiguration for Dynamic Deadlines in Autonomous Driving. ISORC (2021)
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) (2021)
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)
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) (2021)
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 (2021)
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) (2021)
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)
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)
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)
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 (2021)
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)
Biswadip Maity, Bryan Donyanavard, Anmol Surhonne, Amir M. Rahmani, Andreas Herkersdorf, Nikil D. Dutt
AXES: Approximation Manager for Emerging Memory Architectures. CoRR (2020)
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) (2020)
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) (2020)
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)
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 (2020)
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)
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 (2020)
Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil D. Dutt, Ramesh Jain, Jessica L. Borelli
Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being. CoRR (2020)
Henry Hoffmann, Axel Jantsch, Nikil D. Dutt
Embodied Self-Aware Computing Systems. Proc. IEEE 108 (7) (2020)
Tao-Yi Lee, Khuong Vo, Wongi Baek, Michelle Khine, Nikil D. Dutt
STINT: selective transmission for low-energy physiological monitoring. ISLPED (2020)
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) (2020)
Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt
Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. ICASSP (2020)
Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao
. EMBC (2020)
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 (2020)
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)
Biswadip Maity, Bryan Donyanavard, Nikil D. Dutt
Self-aware Memory Management for Emerging Energy-efficient Architectures. IGSC (Workshops) (2020)
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) (2020)
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 (2020)
Nikil D. Dutt, Carlo S. Regazzoni, Bernhard Rinner, Xin Yao
Self-Awareness for Autonomous Systems. Proc. IEEE 108 (7) (2020)
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)
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 (2020)
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) (2020)
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 (2020)
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)
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)
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 (2020)
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) (2020)
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 (2020)

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Nikil D. Dutt