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ORCIDAmir-Mohammad Rahmani
Amir M. Rahmani
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- affiliation: University of California Irvine, USA
- affiliation: TU Wien, Austria
- affiliation: University of Turku, Finland
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2020 – today
- 2022
[j66]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)- [j65]Nima TaheriNejad, Paolo Perego, Amir M. Rahmani:
Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact. Mob. Networks Appl. 27(2): 652-656 (2022) - [j64]Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima TaheriNejad, Axel Jantsch, Amir M. Rahmani, Pasi Liljeberg:
Confidence-Enhanced Early Warning Score Based on Fuzzy Logic. Mob. Networks Appl. 27(2): 691-708 (2022) - [j63]Kianoosh Kazemi, Juho Laitala, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani:
Robust PPG Peak Detection Using Dilated Convolutional Neural Networks. Sensors 22(16): 6054 (2022) - [j62]Elham Shamsa, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani:
Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core Platforms. IEEE Trans. Computers 71(4): 743-755 (2022) - [j61]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) - [c134]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 - [c133]Mingzhe Jiang, Wanqing Wu, Yuning Wang, Amir M. Rahmani, Sanna Salanterä, Pasi Liljeberg:
Personal Pain Sensitivity Prediction from Ultra-short-term Resting Heart Rate Variability. EMBC 2022: 1137-1140 - [c132]Salar Jafarlou, Amir M. Rahmani, Nikil D. Dutt, Sanaz Rahimi Mousavi:
ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks. EMBC 2022: 1366-1370 - [c131]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 - [c130]Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, Pasi Liljeberg:
PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network. EMBC 2022: 3387-3391 - [c129]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 - [c128]Rui Cao, Yong Huang, Amir M. Rahmani, Karen Lindsay:
Prenatal Cortisol Levels Estimation Using Heart Rate and Heart Rate Variability: A Weak Supervised Learning Based Approach. EMBC 2022: 4430-4433 - [c127]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 - [c126]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 - [c125]Yong Huang, Rui Cao, Amir-Mohammad Rahmani:
Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution. MLHC 2022: 631-647 - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - 2021
- [j60]Fahimeh Hajizadeh, Mohammadreza Binesh Marvasti, Seyyed Amir Asghari, Mostafa Abbas Mollaei, Amir M. Rahmani:
Configurable DSI partitioned approximate multiplier. Future Gener. Comput. Syst. 115: 100-114 (2021) - [j59]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) - [j58]Elham Shamsa, Alma Pröbstl, Nima Taherinejad, Anil Kanduri, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg:
UBAR: User- and Battery-aware Resource Management for Smartphones. ACM Trans. Embed. Comput. Syst. 20(3): 23:1-23:25 (2021) - [j57]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) - [c124]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 - [c123]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 - [c122]Aysan Mahmoudzadeh, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg:
Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection. ANT/EDI40 2021: 140-147 - [c121]Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg:
Energy-Performance Co-Management of Mixed-Sensitivity Workloads on Heterogeneous Multi-core Systems. ASP-DAC 2021: 421-427 - [c120]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 - [c119]Seyed Amir Hossein Aqajari, Rui Cao, Amir Hosein Afandizadeh Zargari, Amir M. Rahmani:
An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks. EMBC 2021: 744-747 - [c118]Rui Cao, Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Amir M. Rahmani:
Objective Pain Assessment Using Wrist-based PPG Signals: A Respiratory Rate Based Method. EMBC 2021: 1164-1167 - [c117]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 - [c116]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 - [c115]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 - [c114]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 - [c113]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 - [i13]Seyed Amir Hossein Aqajari, Rui Cao, Amir Hosein Afandizadeh Zargari, Amir M. Rahmani:
An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks. CoRR abs/2105.00594 (2021) - [i12]Amir Hosein Afandizadeh Zargari, Seyed Amir Hossein Aqajari, Hadi Khodabandeh, Amir M. Rahmani, Fadi J. Kurdahi:
An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN. CoRR abs/2106.11512 (2021) - [i11]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) - [i10]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) - [i9]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
- [j56]Maximilian Götzinger, Dávid Juhász, Nima Taherinejad, Edwin Willegger, Benedikt Tutzer, Pasi Liljeberg, Axel Jantsch, Amir M. Rahmani:
RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems. IEEE Access 8: 141373-141394 (2020) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [j50]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) - [j49]Geng Yang, Zhibo Pang, Amir M. Rahmani, Mianxiong Dong, Yuan-Ting Zhang, M. Jamal Deen, Nigel H. Lovell:
Guest Editorial Enabling Technologies in Health Engineering and Informatics for the New Revolution of Healthcare 4.0. IEEE J. Biomed. Health Informatics 24(9): 2442-2443 (2020) - [j48]Geng Yang, Zhibo Pang, M. Jamal Deen, Mianxiong Dong, Yuan-Ting Zhang, Nigel H. Lovell, Amir M. Rahmani:
Homecare Robotic Systems for Healthcare 4.0: Visions and Enabling Technologies. IEEE J. Biomed. Health Informatics 24(9): 2535-2549 (2020) - [j47]Asal Khanbadr, Mohammadreza Binesh Marvasti, Seyyed Amir Asghari, Sohrab Khanbadr, Amir M. Rahmani:
A novel method for victim block selection for NAND flash-based solid state drives based on scoring. J. Supercomput. 76(12): 10186-10211 (2020) - [c112]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 - [c111]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 - [c110]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 - [c109]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 - [c108]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 - [c107]Elham Shamsa, Anil Kanduri, Nima Taherinejad, Alma Pröbstl, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg:
User-centric Resource Management for Embedded Multi-core Processors. VLSID 2020: 43-48 - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]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) - [i3]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)
2010 – 2019
- 2019
- [j46]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) - [j45]Mahyar Nazari, Reza Taghi Zadeh, Seyyed Amir Asghari, Mohammadreza Binesh Marvasti, Amir M. Rahmani:
FRCD: Fast recovery of compressible data in flash memories. Comput. Electr. Eng. 78: 520-535 (2019) - [j44]Tuan Nguyen Gia, Imed Ben Dhaou, Mai Ali, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
Energy efficient fog-assisted IoT system for monitoring diabetic patients with cardiovascular disease. Future Gener. Comput. Syst. 93: 198-211 (2019) - [j43]Iman Azimi, Tapio Pahikkala, Amir M. Rahmani, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg:
Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health. Future Gener. Comput. Syst. 96: 297-308 (2019) - [j42]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) - [j41]Maximilian Götzinger, Nima Taherinejad, Hedyeh A. Kholerdi, Axel Jantsch, Edwin Willegger, Thomas Glatzl, Amir M. Rahmani, Thilo Sauter, Pasi Liljeberg:
Model-free condition monitoring with confidence. Int. J. Comput. Integr. Manuf. 32(4-5): 466-481 (2019) - [j40]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) - [j39]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) - [c106]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 - [c105]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 - [c104]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 - [c103]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 - [c102]Mohammad R. Nakhkash, Tuan Nguyen Gia, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg:
Analysis of Performance and Energy Consumption of Wearable Devices and Mobile Gateways in IoT Applications. COINS 2019: 68-73 - [c101]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 - [c100]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 - [c99]Bryan Donyanavard, Tiago Mück, Amir M. Rahmani, Nikil D. Dutt, Armin Sadighi, Florian Maurer, Andreas Herkersdorf:
SOSA: Self-Optimizing Learning with Self-Adaptive Control for Hierarchical System-on-Chip Management. MICRO 2019: 685-698 - [c98]Mohammadreza Nakhkash, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg:
End-to-End Approximation for Characterizing Energy Efficiency of IoT Applications. NORCAS 2019: 1-6 - [c97]Nima Taherinejad, Peter R. Lewis, Axel Jantsch, Amir M. Rahmani, Lukas Esterle:
Resource Constrained Self-Aware Cyber-Physical Systems (Tutorial). FAS*W@SASO/ICAC 2019: 259-260 - [i2]Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir-Mohammad Rahmani, Pasi Liljeberg, Nikil D. Dutt, Marco Levorato:
Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control. CoRR abs/1907.11989 (2019) - 2018
- [j38]Tuan Nguyen Gia, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
Fog Computing Approach for Mobility Support in Internet-of-Things Systems. IEEE Access 6: 36064-36082 (2018) - [j37]Amir M. Rahmani, Axel Jantsch, Nikil D. Dutt:
HDGM: Hierarchical Dynamic Goal Management for Many-Core Resource Allocation. IEEE Embed. Syst. Lett. 10(3): 61-64 (2018) - [j36]Farshad Firouzi, Amir M. Rahmani, Kunal Mankodiya, Mustafa Badaroglu, Geoff V. Merrett, P. Wong, Bahar J. Farahani:
Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics. Future Gener. Comput. Syst. 78: 583-586 (2018) - [j35]Amir M. Rahmani, Tuan Nguyen Gia, Behailu Negash, Arman Anzanpour, Iman Azimi, Mingzhe Jiang, Pasi Liljeberg:
Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach. Future Gener. Comput. Syst. 78: 641-658 (2018) - [j34]Seyyed Amir Asghari, Mohammadreza Binesh Marvasti, Amir M. Rahmani:
Enhancing transient fault tolerance in embedded systems through an OS task level redundancy approach. Future Gener. Comput. Syst. 87: 58-65 (2018) - [j33]Tuan Nguyen Gia, Victor Kathan Sarker, Igor Tcarenko, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
Energy efficient wearable sensor node for IoT-based fall detection systems. Microprocess. Microsystems 56: 34-46 (2018) - [j32]Sina Shahhosseini, Kasra Moazzemi, Amir M. Rahmani, Nikil D. Dutt:
On the feasibility of SISO control-theoretic DVFS for power capping in CMPs. Microprocess. Microsystems 63: 249-258 (2018) - [j31]Mischa Möstl, Johannes Schlatow, Rolf Ernst, Nikil D. Dutt, Ahmed Nassar, Amir-Mohammad Rahmani, Fadi J. Kurdahi, Thomas Wild, Armin Sadighi, Andreas Herkersdorf:
Platform-Centric Self-Awareness as a Key Enabler for Controlling Changes in CPS. Proc. IEEE 106(9): 1543-1567 (2018) - [j30]Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Muhammad Shafique, Axel Jantsch, Pasi Liljeberg:
adBoost: Thermal Aware Performance Boosting Through Dark Silicon Patterning. IEEE Trans. Computers 67(8): 1062-1077 (2018) - [j29]Geng Yang, Mingzhe Jiang, Wei Ouyang, Guangchao Ji, Haibo Xie, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen:
IoT-Based Remote Pain Monitoring System: From Device to Cloud Platform. IEEE J. Biomed. Health Informatics 22(6): 1711-1719 (2018) - [j28]Tiago Mück, Bryan Donyanavard, Kasra Moazzemi, Amir M. Rahmani, Axel Jantsch, Nikil D. Dutt:
Design Methodology for Responsive and Rrobust MIMO Control of Heterogeneous Multicores. IEEE Trans. Multi Scale Comput. Syst. 4(4): 944-951 (2018) - [c96]Amir M. Rahmani, Bryan Donyanavard, Tiago Mück, Kasra Moazzemi, Axel Jantsch, Onur Mutlu, Nikil D. Dutt:
SPECTR: Formal Supervisory Control and Coordination for Many-core Systems Resource Management. ASPLOS 2018: 169-183 - [c95]Olugbenga Oti, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Anna Axelin, Pasi Liljeberg:
IoT-Based Healthcare System for Real-Time Maternal Stress Monitoring. CHASE 2018: 57-62 - [c94]Iman Azimi, Janne Takalo-Mattila, Arman Anzanpour, Amir M. Rahmani, Juha-Pekka Soininen, Pasi Liljeberg:
Empowering Healthcare IoT Systems with Hierarchical Edge-Based Deep Learning. CHASE 2018: 63-68 - [c93]Anil Kanduri, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Cristiana Bolchini, Nikil D. Dutt:
Approximation-aware coordinated power/performance management for heterogeneous multi-cores. DAC 2018: 68:1-68:6 - [c92]Bryan Donyanavard, Amir M. Rahmani, Tiago Mück, Kasra Moazemmi, Nikil D. Dutt:
Gain scheduled control for nonlinear power management in CMPs. DATE 2018: 921-924 - [c91]Armin Sadighi, Bryan Donyanavard, Thawra Kadeed, Kasra Moazzemi, Tiago Mück, Ahmed Nassar, Amir M. Rahmani, Thomas Wild, Nikil D. Dutt, Rolf Ernst, Andreas Herkersdorf, Fadi J. Kurdahi:
Design methodologies for enabling self-awareness in autonomous systems. DATE 2018: 1532-1537 - [c90]Kasra Moazzemi, Anil Kanduri, David Juhasz, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt:
Trends in On-chip Dynamic Resource Management. DSD 2018: 62-69 - [c89]Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt:
Edge-Assisted Sensor Control in Healthcare IoT. GLOBECOM 2018: 1-6 - [c88]Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg:
Approximation for Run-time Power Management. ISCAS 2018: 1-4 - [c87]Axel Jantsch, Arman Anzanpour, Hedyeh A. Kholerdi, Iman Azimi, Lydia C. Siafara, Amir M. Rahmani, Nima Taherinejad, Pasi Liljeberg, Nikil D. Dutt:
Hierarchical dynamic goal management for IoT systems. ISQED 2018: 370-375 - [c86]