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Amir-Mohammad Rahmani
Amir M. Rahmani
Person information

- 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]