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ORCIDAmir-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
- 2025
[j77]Mohammad Feli, Kianoosh Kazemi
, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani:
Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation. Comput. Biol. Medicine 188: 109798 (2025)- [j76]Hamidreza Alikhani, Anil Kanduri, Emad Kasaeyan Naeini, Sina Shahhosseini, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables. IEEE Des. Test 42(2): 25-34 (2025) - [i49]Hao Li, Di Huang, Ziyu Wang, Amir M. Rahmani:
Skewed Memorization in Large Language Models: Quantification and Decomposition. CoRR abs/2502.01187 (2025) - [i48]Mohammad Feli, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani:
An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation. CoRR abs/2502.12836 (2025) - [i47]Kianoosh Kazemi, Iman Azimi, Michelle Khine, Rami N. Khayat, Amir M. Rahmani, Pasi Liljeberg:
Multimodal Sleep Stage and Sleep Apnea Classification Using Vision Transformer: A Multitask Explainable Learning Approach. CoRR abs/2502.17486 (2025) - [i46]Zhongqi Yang, Amir M. Rahmani:
Personalized Causal Graph Reasoning for LLMs: A Case Study on Dietary Recommendations. CoRR abs/2503.00134 (2025) - [i45]Ziyu Wang, Elahe Khatibi, Kianoosh Kazemi, Iman Azimi, Sanaz R. Mousavi, Shaista Malik, Amir M. Rahmani:
TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis. CoRR abs/2503.13495 (2025) - [i44]Yutong Song, Chenhan Lyu, Pengfei Zhang, Sabine Brunswicker, Nikil D. Dutt, Amir M. Rahmani:
DEMENTIA-PLAN: An Agent-Based Framework for Multi-Knowledge Graph Retrieval-Augmented Generation in Dementia Care. CoRR abs/2503.20950 (2025) - 2024
- [j75]Kianoosh Kazemi, Arash Abiri, Yongxiao Zhou, Amir M. Rahmani, Rami N. Khayat, Pasi Liljeberg, Michelle Khine:
Improved sleep stage predictions by deep learning of photoplethysmogram and respiration patterns. Comput. Biol. Medicine 179: 108679 (2024) - [j74]Mingzhe Jiang, Riitta Rosio, Sanna Salanterä, Amir M. Rahmani, Pasi Liljeberg, Daniel Santos da Silva, Victor Hugo C. de Albuquerque, Wanqing Wu:
Personalized and adaptive neural networks for pain detection from multi-modal physiological features. Expert Syst. Appl. 235: 121082 (2024) - [j73]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) - [j72]Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Ram Sriram, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh C. Jain, Amir M. Rahmani:
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. npj Digit. Medicine 7(1) (2024) - [c160]Ajan Subramanian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani:
Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis. BSN 2024: 1-4 - [c159]Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani:
ECG Unveiled: Analysis of Client Re-Identification Risks in Real-World ECG Datasets. BSN 2024: 1-4 - [c158]Yuning Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg:
Attention-Based Explainable AI for Wearable Multivariate Data: A Case Study on Affect Status Prediction. BSN 2024: 1-4 - [c157]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 - [c156]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 - [c155]Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani:
Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients. EMBC 2024: 1-4 - [c154]Yong Huang, Charles A. Downs, Amir M. Rahmani:
Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method. EMBC 2024: 1-4 - [c153]Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg:
Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach. EMBC 2024: 1-6 - [c152]Ali Rostami, Ramesh C. Jain, Amir M. Rahmani:
Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm. EMBC 2024: 1-4 - [c151]Ziyu Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani:
Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection. EMBC 2024: 1-5 - [c150]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 - [c149]Mark Amayag, Jennifer Auxier, Yuning Wang, Fatemeh Sarhaddi, Amir-Mohammad Rahmani, Anna Axelin:
Finnish Immigrants' Affective Attitude Towards the IMPMS for Loneliness Detection: A Descriptive Qualitative Study. Nursing Informatics 2024: 211-215 - [c148]Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari, Seyed Amir Hossein Aqajari, Hongsheng Lu, Amir M. Rahmani:
Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation. SAC 2024: 1061-1063 - [i43]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) - [i42]Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani:
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU. CoRR abs/2401.05469 (2024) - [i41]Ali Rostami, Ramesh C. Jain, Amir M. Rahmani:
Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm. CoRR abs/2402.07477 (2024) - [i40]Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani:
Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients. CoRR abs/2402.10153 (2024) - [i39]Ziyu Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani:
Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection. CoRR abs/2402.10862 (2024) - [i38]Yong Huang, Charles A. Downs, Amir M. Rahmani:
Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method. CoRR abs/2402.11123 (2024) - [i37]Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg:
Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach. CoRR abs/2402.16909 (2024) - [i36]Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, Mahyar Abbasian, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani:
ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework. CoRR abs/2403.00781 (2024) - [i35]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) - [i34]Elahe Khatibi, Mahyar Abbasian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani:
ALCM: Autonomous LLM-Augmented Causal Discovery Framework. CoRR abs/2405.01744 (2024) - [i33]Mahyar Abbasian, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Ramesh C. Jain:
Empathy Through Multimodality in Conversational Interfaces. CoRR abs/2405.04777 (2024) - [i32]Ajan Subramanian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani:
Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis. CoRR abs/2406.16252 (2024) - [i31]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) - [i30]Iman Azimi, Mohan Qi, Li Wang, Amir M. Rahmani, Youlin Li:
Accuracy and Consistency of LLMs in the Registered Dietitian Exam: The Impact of Prompt Engineering and Knowledge Retrieval. CoRR abs/2408.02964 (2024) - [i29]Jung In Park, Mahyar Abbasian, Iman Azimi, Dawn Bounds, Angela Jun, Jaesu Han, Robert McCarron, Jessica L. Borelli, Jia Li, Mona Mahmoudi, Carmen Wiedenhoeft, Amir M. Rahmani:
Building Trust in Mental Health Chatbots: Safety Metrics and LLM-Based Evaluation Tools. CoRR abs/2408.04650 (2024) - [i28]Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani:
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets. CoRR abs/2408.10228 (2024) - [i27]Ziyu Wang, Hao Li, Di Huang, Amir M. Rahmani:
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations. CoRR abs/2409.19487 (2024) - [i26]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
- [j71]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) - [j70]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) - [j69]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. ACM Trans. Comput. Heal. 4(1): 1:1-1:14 (2023) - [j68]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) - [c147]Mahyar Abbasian, Elahe Khatibi, Iman Azimi, Amir M. Rahmani:
PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack. ANT/EDI40 2023: 511-518 - [c146]Mohammad Feli, Kianoosh Kazemi, Iman Azimi, Yuning Wang, Amir M. Rahmani, Pasi Liljeberg:
End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction. BIBM 2023: 1895-1900 - [c145]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 - [c144]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 - [c143]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 - [c142]Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani:
Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings? EMBC 2023: 1-5 - [c141]Ajan Subramanian, Yong Huang, Melissa D. Pinto, Charles A. Downs, Amir M. Rahmani:
Using Causal Inference to Estimate the Effect of Pre-Exposure Prophylaxis (PrEP) for HIV Prevention on COVID-19 Mortality. EMBC 2023: 1-4 - [c140]Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani:
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU. ICBRA 2023: 94-100 - [c139]Renira Soares, Matheus Isquierdo, Felipe Sampaio, Amir M. 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 - [c138]Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh C. Jain:
Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data. MMM (1) 2023: 589-600 - [c137]Yuning Wang, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Pasi Liljeberg:
Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring. SAC 2023: 593-598 - [i25]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) - [i24]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) - [i23]Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari, Seyed Amir Hossein Aqajari, Hongsheng Lu, Amir M. Rahmani:
Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation. CoRR abs/2307.13978 (2023) - [i22]Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh C. Jain, Amir M. Rahmani:
Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. CoRR abs/2309.12444 (2023) - [i21]Mahyar Abbasian, Iman Azimi, Amir M. Rahmani, Ramesh C. Jain:
Conversational Health Agents: A Personalized LLM-Powered Agent Framework. CoRR abs/2310.02374 (2023) - [i20]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) - 2022
- [j67]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) - [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) - [c136]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 - [c135]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 - [c134]Salar Jafarlou, Amir M. Rahmani, Nikil D. Dutt, Sanaz Rahimi Moosavi:
ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks. EMBC 2022: 1366-1370 - [c133]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 - [c132]Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, Pasi Liljeberg:
PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network. EMBC 2022: 3387-3391 - [c131]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 - [c130]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 - [c129]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 - [c128]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 - [c127]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 - [c126]Yong Huang, Rui Cao, Amir-Mohammad Rahmani:
Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution. MLHC 2022: 631-647 - [c125]Ali Rostami, Nitish Nagesh, Amir M. Rahmani, Ramesh C. Jain:
World Food Atlas for Food Navigation. MADiMa @ ACM Multimedia 2022: 39-47 - [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 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 - [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 Michael 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]Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt:
Goal Formulation: Abstracting Dynamic Objectives for Efficient On-chip Resource Allocation. NORCAS 2018: 1-4 - [c85]Tiago Mück, Antônio Augusto Fröhlich, Giovani Gracioli, Amir M. Rahmani, João Gabriel Reis, Nikil D. Dutt:
CHIPS-AHOy: a predictable holistic cyber-physical hypervisor for MPSoCs. SAMOS 2018: 73-80 - [c84]Carlos Michel Betemps, Mateus Santos De Melo, Amir M. Rahmani, Antonio Miele, Nikil D. Dutt, Bruno Zatt:
Exploring Heterogeneous Task-Level Parallelism in a BMA Video Coding Application using System-Level Simulation. SBESC 2018: 75-82 - [e1]Paolo Perego, Amir M. Rahmani, Nima Taherinejad:
Wireless Mobile Communication and Healthcare - 7th International Conference, MobiHealth 2017, Vienna, Austria, November 14-15, 2017, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 247, Springer 2018, ISBN 978-3-319-98550-3 [contents] - 2017
- [j27]Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Antonio Miele, Cristiana Bolchini, Hannu Tenhunen:
Can Dark Silicon Be Exploited to Prolong System Lifetime? IEEE Des. Test 34(2): 51-59 (2017) - [j26]Axel Jantsch, Nikil D. Dutt, Amir M. Rahmani:
Self-Awareness in Systems on Chip - A Survey. IEEE Des. Test 34(6): 8-26 (2017) - [j25]Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen:
Internet of things for remote elderly monitoring: a study from user-centered perspective. J. Ambient Intell. Humaniz. Comput. 8(2): 273-289 (2017) - [j24]Amir-Mohammad Rahmani, Pasi Liljeberg, José Luis Ayala, Hannu Tenhunen, Alexander V. Veidenbaum:
Special issue on energy efficient multi-core and many-core systems, Part II. J. Parallel Distributed Comput. 100: 128-129 (2017) - [j23]Mohammad Hashem Haghbayan, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen:
Performance/Reliability-Aware Resource Management for Many-Cores in Dark Silicon Era. IEEE Trans. Computers 66(9): 1599-1612 (2017) - [j22]Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Tapio Pahikkala, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt:
HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT. ACM Trans. Embed. Comput. Syst. 16(5s): 174:1-174:20 (2017) - [j21]Amir M. Rahmani, Mohammad Hashem Haghbayan, Antonio Miele, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen:
Reliability-Aware Runtime Power Management for Many-Core Systems in the Dark Silicon Era. IEEE Trans. Very Large Scale Integr. Syst. 25(2): 427-440 (2017) - [j20]Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen, Nikil D. Dutt:
Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications. IEEE Trans. Very Large Scale Integr. Syst. 25(10): 2749-2762 (2017) - [c83]Tuan Nguyen Gia, Mai Ali, Imed Ben Dhaou, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
IoT-based continuous glucose monitoring system: A feasibility study. ANT/SEIT 2017: 327-334 - [c82]Behailu Negash, Tomi Westerlund, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen:
DoS-IL: A Domain Specific Internet of Things Language for Resource Constrained Devices. ANT/SEIT 2017: 416-423 - [c81]Mingzhe Jiang, Riitta Mieronkoski, Amir M. Rahmani, Nora Hagelberg, Sanna Salanterä, Pasi Liljeberg:
Ultra-short-term analysis of heart rate variability for real-time acute pain monitoring with wearable electronics. BIBM 2017: 1025-1032 - [c80]Majid Shoushtari, Amir M. Rahmani, Nikil D. Dutt:
Quality-configurable memory hierarchy through approximation: special session. CASES 2017: 2:1-2:2 - [c79]Uzair A. Noman, Behailu Negash, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen:
From threads to events: Adapting a lightweight middleware for Contiki OS. CCNC 2017: 486-491 - [c78]Igor Tcarenko, Yuxiang Huan, David Juhasz, Amir M. Rahmani, Zhuo Zou, Tomi Westerlund, Pasi Liljeberg, Li-Rong Zheng, Hannu Tenhunen:
Smart energy efficient gateway for Internet of mobile things. CCNC 2017: 1016-1017 - [c77]Arman Anzanpour, Iman Azimi, Maximilian Gotzinger, Amir M. Rahmani, Nima Taherinejad, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt:
Self-awareness in remote health monitoring systems using wearable electronics. DATE 2017: 1056-1061 - [c76]Mai Ali, Tuan Nguyen Gia, Abd-Elhamid M. Taha, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
Autonomous Patient/Home Health Monitoring Powered by Energy Harvesting. GLOBECOM 2017: 1-7 - [c75]Amir Mahdi Hosseini Monazzah, Majid Shoushtari, Seyed Ghassem Miremadi, Amir M. Rahmani, Nikil D. Dutt:
QuARK: Quality-configurable approximate STT-MRAM cache by fine-grained tuning of reliability-energy knobs. ISLPED 2017: 1-6 - [c74]Tuan Nguyen Gia, Mingzhe Jiang, Victor Kathan Sarker, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
Low-cost fog-assisted health-care IoT system with energy-efficient sensor nodes. IWCMC 2017: 1765-1770 - [c73]Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima Taherinejad, Amir M. Rahmani:
Enhancing the Self-Aware Early Warning Score System Through Fuzzified Data Reliability Assessment. MobiHealth 2017: 3-11 - [c72]Nikil D. Dutt, Amir M. Rahmani, Axel Jantsch:
Empowering autonomy through self-awareness in MPSoCs. NEWCAS 2017: 73-76 - [c71]Sina Shahhosseini, Kasra Moazzemi, Amir M. Rahmani, Nikil D. Dutt:
Dependability evaluation of SISO control-theoretic power managers for processor architectures. NORCAS 2017: 1-6 - [c70]Maximilian Götzinger, Martin Pongratz, Amir-Mohammad Rahmani, Axel Jantsch:
Parallelized Flight Path Prediction using a Graphics Processing Unit. VISIGRAPP (6: VISAPP) 2017: 386-393 - 2016
- [j19]Sanaz Rahimi Moosavi, Tuan Nguyen Gia, Ethiopia Nigussie, Amir-Mohammad Rahmani, Seppo Virtanen, Hannu Tenhunen, Jouni Isoaho:
End-to-end security scheme for mobility enabled healthcare Internet of Things. Future Gener. Comput. Syst. 64: 108-124 (2016) - [j18]Behailu Negash, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
LISA 2.0: lightweight internet of things service bus architecture using node centric networking. J. Ambient Intell. Humaniz. Comput. 7(3): 305-319 (2016) - [j17]Amir-Mohammad Rahmani, Pasi Liljeberg, José Luis Ayala, Hannu Tenhunen, Alexander V. Veidenbaum:
Special issue on energy efficient multi-core and many-core systems, Part I. J. Parallel Distributed Comput. 95: 1-2 (2016) - [j16]Amir Mohammad Amiri, Giuliano Armano, Amir-Mohammad Rahmani, Kunal Mankodiya:
PhonoSys: Mobile Phonocardiography Diagnostic System for Newborns. EAI Endorsed Trans. Mob. Commun. Appl. 2(10): e1 (2016) - [j15]Moreno Ambrosin, Arman Anzanpour, Mauro Conti, Tooska Dargahi, Sanaz Rahimi Moosavi, Amir-Mohammad Rahmani, Pasi Liljeberg:
On the Feasibility of Attribute-Based Encryption on Internet of Things Devices. IEEE Micro 36(6): 25-35 (2016) - [j14]Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Antonio Miele, Mohammad Fattah, Juha Plosila, Pasi Liljeberg, Hannu Tenhunen:
A Power-Aware Approach for Online Test Scheduling in Many-Core Architectures. IEEE Trans. Computers 65(3): 730-743 (2016) - [c69]Mohammad Hashem Haghbayan, Antonio Miele, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen:
A lifetime-aware runtime mapping approach for many-core systems in the dark silicon era. DATE 2016: 854-857 - [c68]Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen:
Self-aware Early Warning Score System for IoT-Based Personalized Healthcare. eHealth 360° 2016: 49-55 - [c67]Anil Kanduri, Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt, Hannu Tenhunen:
Approximation knob: power capping meets energy efficiency. ICCAD 2016: 122 - [c66]Mostafa Shahiri, Mojtaba Valinataj, Amir M. Rahmani:
A reliable and high-performance Network-on-Chip router through decoupled resource sharing. HPCS 2016: 88-95 - [c65]Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Tapio Salakoski:
Medical warning system based on Internet of Things using fog computing. IWBIS 2016: 19-24 - [c64]Maximilian Gotzinger, Amir M. Rahmani, Martin Pongratz, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen:
The Role of Self-Awareness and Hierarchical Agents in Resource Management for Many-Core Systems. MCSoC 2016: 53-60 - [c63]Igor Tcarenko, Tuan Nguyen Gia, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
Energy-Efficient IoT-Enabled Fall Detection System with Messenger-Based Notification. MobiHealth 2016: 19-26 - [c62]Maximilian Götzinger, Nima Taherinejad, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen:
Enhancing the Early Warning Score System Using Data Confidence. MobiHealth 2016: 91-99 - [c61]Tuan Nguyen Gia, Igor Tcarenko, Victor K. Sarker, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
IoT-based fall detection system with energy efficient sensor nodes. NORCAS 2016: 1-6 - [c60]Mingzhe Jiang, Tuan Nguyen Gia, Arman Anzanpour, Amir-Mohammad Rahmani, Tomi Westerlund, Sanna Salanterä, Pasi Liljeberg, Hannu Tenhunen:
IoT-based remote facial expression monitoring system with sEMG signal. SAS 2016: 1-6 - [i1]Moreno Ambrosin, Arman Anzanpour, Mauro Conti, Tooska Dargahi, Sanaz Rahimi Moosavi, Amir-Mohammad Rahmani, Pasi Liljeberg:
On the Feasibility of Attribute-Based Encryption on Internet of Things Devices. CoRR abs/1611.08098 (2016) - 2015
- [c59]Tuan Nguyen Gia, Mingzhe Jiang, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
Fog Computing in Healthcare Internet of Things: A Case Study on ECG Feature Extraction. CIT/IUCC/DASC/PICom 2015: 356-363 - [c58]Sanaz Rahimi Moosavi, Tuan Nguyen Gia, Ethiopia Nigussie, Amir-Mohammad Rahmani, Seppo Virtanen, Hannu Tenhunen, Jouni Isoaho:
Session Resumption-Based End-to-End Security for Healthcare Internet-of-Things. CIT/IUCC/DASC/PICom 2015: 581-588 - [c57]Mingzhe Jiang, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
Facial Expression Recognition with sEMG Method. CIT/IUCC/DASC/PICom 2015: 981-988 - [c56]Behailu Negash, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
LISA: Lightweight Internet of Things Service Bus Architecture. ANT/SEIT 2015: 436-443 - [c55]Sanaz Rahimi Moosavi, Tuan Nguyen Gia, Amir-Mohammad Rahmani, Ethiopia Nigussie, Seppo Virtanen, Jouni Isoaho, Hannu Tenhunen:
SEA: A Secure and Efficient Authentication and Authorization Architecture for IoT-Based Healthcare Using Smart Gateways. ANT/SEIT 2015: 452-459 - [c54]Amir-Mohammad Rahmani, Nanda Kumar Thanigaivelan, Tuan Nguyen Gia, Jose Granados, Behailu Negash, Pasi Liljeberg, Hannu Tenhunen:
Smart e-Health Gateway: Bringing intelligence to Internet-of-Things based ubiquitous healthcare systems. CCNC 2015: 826-834 - [c53]Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Mohammad Fattah, Pasi Liljeberg, Juha Plosila, Zainalabedin Navabi, Hannu Tenhunen:
Power-aware online testing of manycore systems in the dark silicon era. DATE 2015: 435-440 - [c52]Sami Teravainen, Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen:
Software-based on-chip thermal sensor calibration for DVFS-enabled many-core systems. DFTS 2015: 35-40 - [c51]Mohammad Hashem Haghbayan, Sami Teravainen, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen:
Adaptive fault simulation on many-core microprocessor systems. DFTS 2015: 151-154 - [c50]Anil Kanduri, Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen:
Dark silicon aware runtime mapping for many-core systems: A patterning approach. ICCD 2015: 573-580 - [c49]Abdulakeem Odunmbaku, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen:
Elderly Monitoring System with Sleep and Fall Detector. IoT 360 (1) 2015: 473-480 - [c48]Arman Anzanpour, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen:
Context-Aware Early Warning System for In-Home Healthcare Using Internet-of-Things. IoT 360 (1) 2015: 517-522 - [c47]Amir-Mohammad Rahmani, Mohammad Hashem Haghbayan, Anil Kanduri, Awet Yemane Weldezion, Pasi Liljeberg, Juha Plosila, Axel Jantsch, Hannu Tenhunen:
Dynamic power management for many-core platforms in the dark silicon era: A multi-objective control approach. ISLPED 2015: 219-224 - [c46]Anil Kanduri, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen:
Predictable Application Mapping for Manycore Real-Time and Cyber-Physical Systems. MCSoC 2015: 135-142 - [c45]Elmira Karimi, Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Mahmoud Tabandeh, Pasi Liljeberg, Zainalabedin Navabi:
Accelerated On-chip Communication Test Methodology Using a Novel High-Level Fault Model. MCSoC 2015: 283-288 - [c44]Mohammad Hashem Haghbayan, Anil Kanduri, Amir-Mohammad Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen:
MapPro: Proactive Runtime Mapping for Dynamic Workloads by Quantifying Ripple Effect of Applications on Networks-on-Chip. NOCS 2015: 26:1-26:8 - [c43]Sobhan Niknam, Arghavan Asad, Mahmood Fathy, Amir-Mohammad Rahmani:
Energy efficient 3D Hybrid processor-memory architecture for the dark silicon age. ReCoSoC 2015: 1-8 - [c42]Tuan Nguyen Gia, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
Fault tolerant and scalable IoT-based architecture for health monitoring. SAS 2015: 1-6 - 2014
- [j13]Amir-Mohammad Rahmani, Kameswar Rao Vaddina, Khalid Latif, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
High-Performance and Fault-Tolerant 3D NoC-Bus Hybrid Architecture Using ARB-NET-Based Adaptive Monitoring Platform. IEEE Trans. Computers 63(3): 734-747 (2014) - [j12]Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Special section on advances in methods for adaptive multicore systems. J. Supercomput. 68(3): 1023-1026 (2014) - [j11]Simon Holmbacka, Mohammad Fattah, Wictor Lund, Amir-Mohammad Rahmani, Sébastien Lafond, Johan Lilius:
A task migration mechanism for distributed many-core operating systems. J. Supercomput. 68(3): 1141-1162 (2014) - [c41]Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Online testing of many-core systems in the Dark Silicon era. DDECS 2014: 141-146 - [c40]Mohammad Hashem Haghbayan, Bijan Alizadeh, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen:
Automated formal approach for debugging dividers using dynamic specification. DFT 2014: 264-269 - [c39]Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Energy-efficient concurrent testing approach for many-core systems in the dark silicon age. DFT 2014: 270-275 - [c38]Mohammad Hashem Haghbayan, Amir-Mohammad Rahmani, Awet Yemane Weldezion, Pasi Liljeberg, Juha Plosila, Axel Jantsch, Hannu Tenhunen:
Dark silicon aware power management for manycore systems under dynamic workloads. ICCD 2014: 509-512 - [c37]Jose Granados, Amir-Mohammad Rahmani, Pekka Nikander, Pasi Liljeberg, Hannu Tenhunen:
Web-Enabled Intelligent Gateways for eHealth Internet-of-Things. IoT360 (1) 2014: 248-254 - [c36]Anurag Anurag, Sanaz Rahimi Moosavi, Amir-Mohammad Rahmani, Tomi Westerlund, Geng Yang, Pasi Liljeberg, Hannu Tenhunen:
Pervasive health monitoring based on Internet of Things: Two case studies. MobiHealth 2014: 275-278 - [c35]Jose Granados, Amir-Mohammad Rahmani, Pekka Nikander, Pasi Liljeberg, Hannu Tenhunen:
Towards energy-efficient HealthCare: An Internet-of-Things architecture using intelligent gateways. MobiHealth 2014: 279-282 - [c34]Tuan Nguyen Gia, Nanda Kumar Thanigaivelan, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen:
Customizing 6LoWPAN networks towards Internet-of-Things based ubiquitous healthcare systems. NORCHIP 2014: 1-6 - [c33]Mohammad Fattah, Amir-Mohammad Rahmani, Thomas Canhao Xu, Anil Kanduri, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Mixed-Criticality Run-Time Task Mapping for NoC-Based Many-Core Systems. PDP 2014: 458-465 - 2013
- [j10]Khalid Latif, Amir-Mohammad Rahmani, Ethiopia Nigussie, Tiberiu Seceleanu, Martin Radetzki, Hannu Tenhunen:
Partial Virtual Channel Sharing: A Generic Methodology to Enhance Resource Management and Fault Tolerance in Networks-on-Chip. J. Electron. Test. 29(3): 431-452 (2013) - [j9]Khalid Latif, Amir-Mohammad Rahmani, Tiberiu Seceleanu, Hannu Tenhunen:
Cluster Based Networks-on-Chip: An Efficient and Fault-Tolerant Architecture using Network Interface Assisted Routing. Int. J. Adapt. Resilient Auton. Syst. 4(3): 25-41 (2013) - [j8]Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Developing a power-efficient and low-cost 3D NoC using smart GALS-based vertical channels. J. Comput. Syst. Sci. 79(4): 440-456 (2013) - [j7]Kameswar Rao Vaddina, Amir-Mohammad Rahmani, Mohammad Fattah, Pasi Liljeberg, Juha Plosila:
Design space exploration of thermal-aware many-core systems. J. Syst. Archit. 59(10-D): 1197-1213 (2013) - [j6]Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Design and implementation of reconfigurable FIFOs for Voltage/Frequency Island-based Networks-on-Chip. Microprocess. Microsystems 37(4-5): 432-445 (2013) - [c32]Sanaz Rahimi Moosavi, Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Enhancing Performance of 3D Interconnection Networks using Efficient Multicast Communication Protocol. PDP 2013: 294-301 - 2012
- [j5]Amir-Mohammad Rahmani, Kameswar Rao Vaddina, Khalid Latif, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Design and management of high-performance, reliable and thermal-aware 3D networks-on-chip. IET Circuits Devices Syst. 6(5): 308-321 (2012) - [j4]Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Exploring a Low-Cost and Power-Efficient Hybridization Technique for 3D NoC-Bus Hybrid Architecture Using LastZ-Based Routing Algorithms. J. Low Power Electron. 8(4): 403-414 (2012) - [c31]Amir-Mohammad Rahmani, Khalid Latif, Kameswar Rao Vaddina, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
ARB-NET: A novel adaptive monitoring platform for stacked mesh 3D NoC architectures. ASP-DAC 2012: 413-418 - [c30]Mouna Karmani, Chiraz Khedhiri, Ka Lok Man, Tomas Krilavicius, Belgacem Hamdi, Amir-Mohammad Rahmani:
A self-test and self-repair approach for analog integrated circuits. BCFIC 2012: 117-120 - [c29]Khalid Latif, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen, Tiberiu Seceleanu:
A Cluster-Based Core Protection Technique for Networks-on-Chip. COMPSAC 2012: 360-361 - [c28]Khalid Latif, Amir-Mohammad Rahmani, Tiberiu Seceleanu, Hannu Tenhunen:
Designing a High Performance and Reliable Networks-on-Chip Using Network Interface Assisted Routing Strategy. DSD 2012: 34-41 - [c27]Amir-Mohammad Rahmani, Kameswar Rao Vaddina, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Power and Thermal Analysis of Stacked Mesh 3D NoC Using AdaptiveXYZ Routing Algorithm. DSD 2012: 208-215 - [c26]Sanaz Rahimi Moosavi, Chia-Yuan Chang, Amir-Mohammad Rahmani, Juha Plosila, Ka Lok Man, Taikyeong T. Jeong, Eng Gee Lim:
An efficient history-based routing algorithm for interconnection networks. ISOCC 2012: 277-280 - [c25]Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Ka Lok Man, Youngmin Kim, Hannu Tenhunen:
Partial-LastZ: An optimized hybridization technique for 3D NoC architecture enabling adaptive inter-layer communication. ISOCC 2012: 281-284 - [c24]Amir-Mohammad Rahmani, Kameswar Rao Vaddina, Khalid Latif, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Generic Monitoring and Management Infrastructure for 3D NoC-Bus Hybrid Architectures. NOCS 2012: 177-184 - [c23]Mouna Karmani, Chiraz Khedhiri, Belgacem Hamdi, Amir-Mohammad Rahmani, Ka Lok Man, Kaiyu Wan:
Design of a Reliable XOR-XNOR Circuit for Arithmetic Logic Units. NPC 2012: 516-523 - [c22]Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
An Efficient Hybridization Scheme for Stacked Mesh 3D NoC Architecture. PDP 2012: 507-514 - 2011
- [c21]Khalid Latif, Amir-Mohammad Rahmani, Kameswar Rao Vaddina, Tiberiu Seceleanu, Pasi Liljeberg, Hannu Tenhunen:
Enhancing Performance of NoC-Based Architectures Using Heuristic Virtual-Channel Sharing Approach. COMPSAC 2011: 442-447 - [c20]Khalid Latif, Amir-Mohammad Rahmani, Ethiopia Nigussie, Hannu Tenhunen, Tiberiu Seceleanu:
A Novel Topology-Independent Router Architecture to Enhance Reliability and Performance of Networks-on-Chip. DFT 2011: 454-462 - [c19]Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
LastZ: An Ultra Optimized 3D Networks-on-Chip Architecture. DSD 2011: 173-180 - [c18]Khalid Latif, Amir-Mohammad Rahmani, Kameswar Rao Vaddina, Tiberiu Seceleanu, Pasi Liljeberg, Hannu Tenhunen:
Enhancing Performance Sustainability of Fault Tolerant Routing Algorithms in NoC-Based Architectures. DSD 2011: 626-633 - [c17]Kameswar Rao Vaddina, Amir-Mohammad Rahmani, Khalid Latif, Pasi Liljeberg, Juha Plosila:
Thermal Analysis of Job Allocation and Scheduling Schemes for 3D Stacked NoC's. DSD 2011: 643-648 - [c16]Amir-Mohammad Rahmani, Khalid Latif, Kameswar Rao Vaddina, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Power-Efficient Inter-Layer Communication Architectures for 3D NoC. ISVLSI 2011: 355-356 - [c15]Kameswar Rao Vaddina, Amir-Mohammad Rahmani, Khalid Latif, Pasi Liljeberg, Juha Plosila:
Thermal Analysis of Advanced 3D Stacked Systems. ISVLSI 2011: 371-372 - [c14]Amir-Mohammad Rahmani, Pasi Liljeberg, Khalid Latif, Juha Plosila, Kameswar Rao Vaddina, Hannu Tenhunen:
Congestion aware, fault tolerant, and thermally efficient inter-layer communication scheme for hybrid NoC-bus 3D architectures. NOCS 2011: 65-72 - [c13]Khalid Latif, Amir-Mohammad Rahmani, Tiberiu Seceleanu, Hannu Tenhunen:
A low-cost processing element recovery mechanism for fault tolerant Networks-on-Chip. NORCHIP 2011: 1-4 - [c12]Amir-Mohammad Rahmani, Kameswar Rao Vaddina, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Power and Area Optimization of 3D Networks-on-Chip Using Smart and Efficient Vertical Channels. PATMOS 2011: 278-287 - [c11]Amir-Mohammad Rahmani, Khalid Latif, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
A Stacked Mesh 3D NoC Architecture Enabling Congestion-Aware and Reliable Inter-layer Communication. PDP 2011: 423-430 - [c10]Khalid Latif, Amir-Mohammad Rahmani, Liang Guang, Tiberiu Seceleanu, Hannu Tenhunen:
PVS-NoC: Partial Virtual Channel Sharing NoC Architecture. PDP 2011: 470-477 - 2010
- [j3]Pejman Lotfi-Kamran, Amir-Mohammad Rahmani, Masoud Daneshtalab, Ali Afzali-Kusha, Zainalabedin Navabi:
EDXY - A low cost congestion-aware routing algorithm for network-on-chips. J. Syst. Archit. 56(7): 256-264 (2010) - [c9]Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Power and performance optimization of voltage/frequency island-based networks-on-chip using reconfigurable synchronous/bi-synchronous FIFOs. Conf. Computing Frontiers 2010: 267-276 - [c8]Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Developing reconfigurable FIFOs to optimize power/performance of Voltage/Frequency Island-based networks-on-chip. DDECS 2010: 105-110 - [c7]Khalid Latif, Amir-Mohammad Rahmani, Tiberiu Seceleanu, Hannu Tenhunen:
Power- and performance-aware IP mapping for NoC-based MPSoC platforms. ICECS 2010: 758-761 - [c6]Amir-Mohammad Rahmani, Masoud Daneshtalab, Pasi Liljeberg, Hannu Tenhunen:
Power-aware NoC router using central forecasting-based dynamic virtual channel allocation. ISCAS 2010: 3224-3227 - [c5]Amir-Mohammad Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
BBVC-3D-NoC: An Efficient 3D NoC Architecture Using Bidirectional Bisynchronous Vertical Channels. ISVLSI 2010: 452-453
2000 – 2009
- 2009
- [j2]Amir-Mohammad Rahmani, Masoud Daneshtalab, Ali Afzali-Kusha, Massoud Pedram:
Forecasting-Based Dynamic Virtual Channel Management for Power Reduction in Network-on-Chips. J. Low Power Electron. 5(3): 385-395 (2009) - [j1]Amir-Mohammad Rahmani, Ali Afzali-Kusha, Massoud Pedram:
A Novel Synthetic Traffic Pattern for Power/Performance Analysis of Network-on-Chips Using Negative Exponential Distribution. J. Low Power Electron. 5(3): 396-405 (2009) - [c4]Amir-Mohammad Rahmani, Masoud Daneshtalab, Ali Afzali-Kusha, Saeed Safari, Massoud Pedram:
Forecasting-Based Dynamic Virtual Channels Allocation for Power Optimization of Network-on-Chips. VLSI Design 2009: 151-156 - [c3]Amir-Mohammad Rahmani, I. Kamali, Pejman Lotfi-Kamran, Ali Afzali-Kusha, Saeed Safari:
Negative Exponential Distribution Traffic Pattern for Power/Performance Analysis of Network on Chips. VLSI Design 2009: 157-162 - 2008
- [c2]Ali-Asghar Salehpour, Masoud Zamani, Amir-Mohammad Rahmani, Siamak Mohammadi, Hossein Pedram, Mohammadreza Binesh Marvasti:
A novel test environment for template based QDI asynchronous circuits. ICECS 2008: 526-529 - [c1]Pejman Lotfi-Kamran, Amir-Mohammad Rahmani, Ali-Asghar Salehpour, Ali Afzali-Kusha, Zainalabedin Navabi:
Stall Power Reduction in Pipelined Architecture Processors. VLSI Design 2008: 541-546
Coauthor Index
[j77] [i48] [i47] [i45] [j72] [c160] [c158] [c155] [c153] [c151] [i42] [i40] [i39] [i37] [i36] [i35] [i34] [i33] [i32] [i30] [i29] [i26] [j70] [j68] [c147] [c146] [c145] [c144] [c142] [c140] [c138] [c137] [i24] [i22] [i21] [j67] [j66] [j64] [j63] [c132] [j59] [c122] [c117] [j54] [j50] [i4] [j46] [j43] [c105] [c102] [c100] [i2] [j35] [c95] [c94] [c89] [c87] [j25] [j22] [c77] [c73] [c68] [c65]
[j76] [i44] [j73] [c157] [c156] [c150] [i43] [i35] [i31] [i26] [j71] [j70] [j68] [c145] [c144] [c143] [c139] [i25] [i24] [i20] [j67] [j66] [j61] [c136] [c134] [c133] [c131] [c129] [c128] [c127] [i19] [i18] [i17] [i16] [i15] [i14] [j59] [j57] [c124] [c123] [c120] [c117] [c116] [c115] [c114] [c113] [i11] [i10] [i9] [j55] [j54] [j53] [j52] [j51] [j50] [c112] [c111] [c110] [c109] [c108] [i8] [i7] [i6] [i5] [i4] [i3] [j46] [j42] [j40] [j39] [c106] [c105] [c104] [c103] [c101] [c100] [c99] [i2] [j37] [j32] [j31] [j28] [c96] [c93] [c92] [c91] [c90] [c89] [c87] [c86] [c85] [c84] [j26] [j22] [j20] [c80] [c77] [c75] [c72] [c71] [c67]
M. H. Haghbayan
aka: Mohammad Hashem Haghbayan
aka: Mohammad Hashem Haghbayan
[j77] [j76] [i48] [i47] [j75] [j74] [c159] [c158] [c157] [c156] [c153] [c150] [i42] [i37] [i28] [j71] [j68] [c146] [c142] [c140] [c137] [j66] [j64] [j63] [j62] [c136] [c135] [c132] [i14] [j59] [j58] [c122] [c121] [i9] [j56] [j54] [j50] [c108] [c107] [j46] [j44] [j43] [j42] [j41] [c106] [c105] [c102] [c101] [c100] [c98] [i2] [j38] [j35] [j33] [j30] [j29] [c95] [c94] [c93] [c90] [c89] [c88] [c87] [c86] [j27] [j25] [j24] [j23] [j22] [j21] [j20] [c83] [c82] [c81] [c79] [c78] [c77] [c76] [c74] [j18] [j17] [j15] [j14] [c69] [c68] [c67] [c65] [c64] [c63] [c62] [c61] [c60] [i1] [c59] [c57] [c56] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c42] [j13] [j12] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [j8] [j7] [j6] [c32] [j5] [j4] [c31] [c29] [c27] [c25] [c24] [c22] [c21] [c19] [c18] [c17] [c16] [c15] [c14] [c12] [c11] [c9] [c8] [c6] [c5]
Nima Taherinejad
aka: Nima TaheriNejad
aka: Nima TaheriNejad
[j44] [j38] [j33] [j29] [j27] [j25] [j24] [j23] [j21] [j20] [c83] [c82] [c79] [c78] [c76] [c74] [j19] [j18] [j17] [j14] [c69] [c68] [c67] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c44] [c42] [j13] [j12] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [j10] [j9] [j8] [j6] [c32] [j5] [j4] [c31] [c29] [c28] [c27] [c25] [c24] [c22] [c21] [c20] [c19] [c18] [c16] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5]
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last updated on 2025-04-22 21:02 CEST by the dblp team
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