Amir M. Rahmani

219 papers A* 3A 10B 6C 12Misc 8Journal 118Unranked 61

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DemMA: Dementia Multi-Turn Dialogue Agent with Expert-Guided Reasoning and Action Simulation. CoRR Yutong Song, Jiang Wu, Kazi Sharif, Honghui Xu, Nikil D. Dutt, Amir M. Rahmani
2026	J	`jnl`	Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare. CoRR Nitish Nagesh, Elahe Khatibi, Thomas Hughes, Mahdi Bagheri, Pratik Gajane, Amir M. Rahmani
2026	J	`jnl`	Styles + Persona-plug = Customized LLMs. CoRR Yutong Song, Jiang Wu, Shaofan Yuan, Chengze Shen, Jian Wang, Amir M. Rahmani, Nikil D. Dutt, Yu Wang
2025	C	`conf`	AGILE: A Multi-Task Contrastive Learning Framework with Adversarial Gradient Iterative Learning for Bio-Signal Anonymization. BSN Tamonash Bhattacharyya, Farshad Firouzi, Amir M. Rahmani, Sanaz Rahimi Mousavi, Krishnendu Chakrabarty
2025	J	`jnl`	An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation. CoRR Mohammad Feli, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2025	J	`jnl`	CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation. CoRR Elahe Khatibi, Ziyu Wang, Amir M. Rahmani
2025	J	`jnl`	DEMENTIA-PLAN: An Agent-Based Framework for Multi-Knowledge Graph Retrieval-Augmented Generation in Dementia Care. CoRR Yutong Song, Chenhan Lyu, Pengfei Zhang, Sabine Brunswicker, Nikil D. Dutt, Amir M. Rahmani
2025	C	`conf`	Domain-Specific Constitutional AI: Enhancing Safety in LLM-Powered Mental Health Chatbots. BSN Chenhan Lyu, Yutong Song, Pengfei Zhang, Amir M. Rahmani
2025	J	`jnl`	Domain-Specific Constitutional AI: Enhancing Safety in LLM-Powered Mental Health Chatbots. CoRR Chenhan Lyu, Yutong Song, Pengfei Zhang, Amir M. Rahmani
2025	J	`jnl`	Exploiting Approximation for Run-time Resource Management of Embedded HMPs. ACM Trans. Embed. Comput. Syst. Zain Taufique, Anil Kanduri, Antonio Miele, Amir M. Rahmani, Cristiana Bolchini, Nikil D. Dutt, Pasi Liljeberg
2025	J	`jnl`	FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation. CoRR Nitish Nagesh, Ziyu Wang, Amir M. Rahmani
2025	J	`jnl`	FairTabGen: Unifying Counterfactual and Causal Fairness in Synthetic Tabular Data Generation. CoRR Nitish Nagesh, Salar Shakibhamedan, Mahdi Bagheri, Ziyu Wang, Nima Taherinejad, Axel Jantsch, Amir M. Rahmani
2025	C	`conf`	FoodAgent: A Multi-Modal Mixture of Experts Reasoning Agent for Divide-and-Conquer Food Nutrition Estimation. BSN Pengfei Zhang, Yutong Song, Chenhan Lyu, Ziyu Wang, Amir M. Rahmani
2025	J	`jnl`	ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables. IEEE Des. Test Hamidreza Alikhani, Anil Kanduri, Emad Kasaeyan Naeini, Sina Shahhosseini, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2025	J	`jnl`	Introduction to the Special Issue on Large Language Models, Conversational Systems, and Generative AI in Health - Part 1. ACM Trans. Comput. Heal. Jiayu Zhou, Manas Gaur, Amir M. Rahmani, Sharath Chandra Guntuku, Xiaofan Fred Jiang, Tristan Naumann
2025	A	`conf`	Invited Paper: Mindful AI for Pervasive Health and Wellbeing (PHW). ICCAD Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2025	J	`jnl`	Linkage Attacks Expose Identity Risks in Public ECG Data Sharing. CoRR Ziyu Wang, Elahe Khatibi, Farshad Firouzi, Sanaz R. Mousavi, Krishnendu Chakrabarty, Amir M. Rahmani
2025	J	`jnl`	MIMIC-Sepsis: A Curated Benchmark for Modeling and Learning from Sepsis Trajectories in the ICU. CoRR Yong Huang, Zhongqi Yang, Amir M. Rahmani
2025	C	`conf`	MedCoT-RAG: Causal Chain-of-Thought RAG for Medical Question Answering. BSN Ziyu Wang, Elahe Khatibi, Amir M. Rahmani
2025	J	`jnl`	MedCoT-RAG: Causal Chain-of-Thought RAG for Medical Question Answering. CoRR Ziyu Wang, Elahe Khatibi, Amir M. Rahmani
2025	J	`jnl`	Multimodal Sleep Stage and Sleep Apnea Classification Using Vision Transformer: A Multitask Explainable Learning Approach. CoRR Kianoosh Kazemi, Iman Azimi, Michelle Khine, Rami N. Khayat, Amir M. Rahmani, Pasi Liljeberg
2025	J	`jnl`	Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation. Comput. Biol. Medicine Mohammad Feli, Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2025	J	`jnl`	Personalized Causal Graph Reasoning for LLMs: A Case Study on Dietary Recommendations. CoRR Zhongqi Yang, Amir M. Rahmani
2025	J	`jnl`	Personalized Causal Graph Reasoning for LLMs: An Implementation for Dietary Recommendations. IEEE J. Biomed. Health Informatics Zhongqi Yang, Amir M. Rahmani
2025	J	`jnl`	Personalized Counterfactual Framework: Generating Potential Outcomes from Wearable Data. CoRR Ajan Subramanian, Amir M. Rahmani
2025	—	`conf`	REACT: REinforcement Learning-Based Adaptive ECG Anonymization and Privacy Threat Mitigation COINS Aniruddha Datta, Tamonash Bhattacharyya, Elahe Khatibi, Agasthya Seth, Ziyu Wang, Sanaz R. Mousavi, Amir M. Rahmani, Farshad Firouzi, Krishnendu Chakrabarty
2025	J	`jnl`	Reducing interdataset covariate shift in sleep EEG of traumatic brain injured humans and mice using Transfer Euclidean Alignment. Biomed. Signal Process. Control. Manoj Vishwanath, Steven Cao, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao
2025	J	`jnl`	Respiration Rate Estimation via Smartwatch-based Photoplethysmography and Accelerometer Data: A Transfer Learning Approach. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2025	J	`jnl`	Skewed Memorization in Large Language Models: Quantification and Decomposition. CoRR Hao Li, Di Huang, Ziyu Wang, Amir M. Rahmani
2025	J	`jnl`	TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis. CoRR Ziyu Wang, Elahe Khatibi, Kianoosh Kazemi, Iman Azimi, Sanaz R. Mousavi, Shaista Malik, Amir M. Rahmani
2024	J	`jnl`	ALCM: Autonomous LLM-Augmented Causal Discovery Framework. CoRR Elahe Khatibi, Mahyar Abbasian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
2024	J	`jnl`	Accuracy and Consistency of LLMs in the Registered Dietitian Exam: The Impact of Prompt Engineering and Knowledge Retrieval. CoRR Iman Azimi, Mohan Qi, Li Wang, Amir M. Rahmani, Youlin Li
2024	C	`conf`	Attention-Based Explainable AI for Wearable Multivariate Data: A Case Study on Affect Status Prediction. BSN Yuning Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg
2024	J	`jnl`	Building Trust in Mental Health Chatbots: Safety Metrics and LLM-Based Evaluation Tools. CoRR 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
2024	J	`jnl`	ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework. CoRR Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, Mahyar Abbasian, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani
2024	J	`jnl`	Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings. CoRR Seyed Amir Hossein Aqajari, Sina Labbaf, Phuc Hoang Tran, Brenda Nguyen, Milad Asgari Mehrabadi, Marco Levorato, Nikil D. Dutt, Amir M. Rahmani
2024	Misc	`conf`	Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation. SAC Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari, Seyed Amir Hossein Aqajari, Hongsheng Lu, Amir M. Rahmani
2024	—	`conf`	Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection. EMBC Ziyu Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
2024	J	`jnl`	Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection. CoRR Ziyu Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
2024	A	`conf`	EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. ISLPED Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2024	C	`conf`	ECG Unveiled: Analysis of Client Re-Identification Risks in Real-World ECG Datasets. BSN Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani
2024	J	`jnl`	ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets. CoRR Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani
2024	J	`jnl`	Empathy Through Multimodality in Conversational Interfaces. CoRR Mahyar Abbasian, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Ramesh C. Jain
2024	J	`jnl`	Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach. CoRR Seyed Amir Hossein Aqajari, Ziyu Wang, Ali Tazarv, Sina Labbaf, Salar Jafarlou, Brenda Nguyen, Nikil D. Dutt, Marco Levorato, Amir M. Rahmani
2024	—	`conf`	Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm. EMBC Ali Rostami, Ramesh C. Jain, Amir M. Rahmani
2024	J	`jnl`	Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm. CoRR Ali Rostami, Ramesh C. Jain, Amir M. Rahmani
2024	J	`jnl`	Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. npj Digit. Medicine 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
2024	C	`conf`	Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis. BSN Ajan Subramanian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
2024	J	`jnl`	Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis. CoRR Ajan Subramanian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
2024	J	`jnl`	HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations. CoRR Ziyu Wang, Hao Li, Di Huang, Amir M. Rahmani
2024	—	`conf`	Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach. EMBC Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg
2024	J	`jnl`	Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach. CoRR Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg
2024	J	`jnl`	Improved sleep stage predictions by deep learning of photoplethysmogram and respiration patterns. Comput. Biol. Medicine Kianoosh Kazemi, Arash Abiri, Yongxiao Zhou, Amir M. Rahmani, Rami N. Khayat, Pasi Liljeberg, Michelle Khine
2024	J	`jnl`	Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecasting. CoRR Zhongqi Yang, Yuning Wang, Ken S. Yamashita, Maryam Sabah, Elahe Khatibi, Iman Azimi, Nikil D. Dutt, Jessica L. Borelli, Amir M. Rahmani
2024	—	`conf`	Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients. EMBC Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani
2024	J	`jnl`	Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients. CoRR Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani
2024	J	`jnl`	Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. CoRR Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Brenda Nguyen, Hana Qureshi, Christopher Marcotullio, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani
2024	—	`conf`	Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method. EMBC Yong Huang, Charles A. Downs, Amir M. Rahmani
2024	J	`jnl`	Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method. CoRR Yong Huang, Charles A. Downs, Amir M. Rahmani
2024	J	`jnl`	PERFECT: Personalized Exercise Recommendation Framework and architECTure. ACM Trans. Comput. Heal. 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
2024	J	`jnl`	Personalized and adaptive neural networks for pain detection from multi-modal physiological features. Expert Syst. Appl. Mingzhe Jiang, Riitta Rosio, Sanna Salanterä, Amir M. Rahmani, Pasi Liljeberg, Daniel Santos da Silva, Victor Hugo C. de Albuquerque, Wanqing Wu
2024	J	`jnl`	Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU. CoRR Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2024	A	`conf`	SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness. DATE Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2024	Misc	`conf`	Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications. CODES+ISSS Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2023	J	`jnl`	A Deep Learning-based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability. ACM Trans. Comput. Heal. Emad Kasaeyan Naeini, Fatemeh Sarhaddi, Iman Azimi, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
2023	J	`jnl`	Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. CoRR Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato
2023	J	`jnl`	An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN. ACM Trans. Comput. Heal. Amir Hosein Afandizadeh Zargari, Seyed Amir Hossein Aqajari, Hadi Khodabandeh, Amir M. Rahmani, Fadi J. Kurdahi
2023	—	`conf`	Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings? EMBC Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2023	J	`jnl`	Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation. CoRR Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari, Seyed Amir Hossein Aqajari, Hongsheng Lu, Amir M. Rahmani
2023	J	`jnl`	Conversational Health Agents: A Personalized LLM-Powered Agent Framework. CoRR Mahyar Abbasian, Iman Azimi, Amir M. Rahmani, Ramesh C. Jain
2023	J	`jnl`	DynaFuse: Dynamic Fusion for Resource Efficient Multimodal Machine Learning Inference. IEEE Embed. Syst. Lett. Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2023	—	`conf`	End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction. BIBM Mohammad Feli, Kianoosh Kazemi, Iman Azimi, Yuning Wang, Amir M. Rahmani, Pasi Liljeberg
2023	—	`conf`	Error Resilience Evaluation of Approximate Storage in the Motion Compensation of VVC Decoders. LASCAS Renira Soares, Matheus Isquierdo, Felipe Sampaio, Amir M. Rahmani, Nikil D. Dutt, Guilherme Corrêa, Daniel Palomino, Bruno Zatt
2023	J	`jnl`	Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. CoRR 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
2023	C	`conf`	Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach. BSN Elahe Khatibi, Mahyar Abbasian, Iman Azimi, Sina Labbaf, Mohammad Feli, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani
2023	C	`conf`	Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. BSN Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani
2023	—	`conf`	PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack. ANT/EDI40 Mahyar Abbasian, Elahe Khatibi, Iman Azimi, Amir M. Rahmani
2023	Misc	`conf`	Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring. SAC Yuning Wang, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Pasi Liljeberg
2023	J	`jnl`	Reducing Intraspecies and Interspecies Covariate Shift in Traumatic Brain Injury EEG of Humans and Mice Using Transfer Euclidean Alignment. CoRR Manoj Vishwanath, Steven Cao, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao
2023	—	`conf`	Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU. ICBRA Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2023	—	`conf`	Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data. MMM (1) Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh C. Jain
2023	—	`conf`	Using Causal Inference to Estimate the Effect of Pre-Exposure Prophylaxis (PrEP) for HIV Prevention on COVID-19 Mortality. EMBC Ajan Subramanian, Yong Huang, Melissa D. Pinto, Charles A. Downs, Amir M. Rahmani
2023	J	`jnl`	ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider. CoRR Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani
2023	J	`jnl`	ZotCare: a flexible, personalizable, and affordable mhealth service provider. Frontiers Digit. Health Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani
2022	A	`conf`	AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems. DATE Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2022	J	`jnl`	Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core Platforms. IEEE Trans. Computers Elham Shamsa, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani
2022	J	`jnl`	Confidence-Enhanced Early Warning Score Based on Fuzzy Logic. Mob. Networks Appl. Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima Taherinejad, Axel Jantsch, Amir M. Rahmani, Pasi Liljeberg
2022	—	`conf`	ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks. EMBC Salar Jafarlou, Amir M. Rahmani, Nikil D. Dutt, Sanaz Rahimi Moosavi
2022	J	`jnl`	Edge-centric Optimization of Multi-modal ML-driven eHealth Applications. CoRR Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini, Hamidreza Alikhani, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
2022	J	`jnl`	Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. CoRR Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani
2022	J	`jnl`	Exploring computation offloading in IoT systems. Inf. Syst. Sina Shahhosseini, Arman Anzanpour, Iman Azimi, Sina Labbaf, Dongjoo Seo, Sung-Soo Lim, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
2022	—	`conf`	Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. ACM Great Lakes Symposium on VLSI Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil D. Dutt
2022	—	`conf`	Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. ISQED Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
2022	J	`jnl`	Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. CoRR Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
2022	C	`conf`	Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. ICCD Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani
2022	—	`conf`	Label Alignment Improves EEG-based Machine Learning-based Classification of Traumatic Brain Injury. EMBC Manoj Vishwanath, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao
2022	J	`jnl`	Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact. Mob. Networks Appl. Nima Taherinejad, Paolo Perego, Amir M. Rahmani
2022	—	`conf`	Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks. EMBC Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Amir Hosein Afandizadeh Zargari, Nikil D. Dutt, Amir M. Rahmani
2022	J	`jnl`	Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks. CoRR Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Amir Hosein Afandizadeh Zargari, Nikil D. Dutt, Amir M. Rahmani
2022	J	`jnl`	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 Salar Jafarlou, Jocelyn Lai, Zahra Mousavi, Sina Labbaf, Ramesh C. Jain, Nikil D. Dutt, Jessica L. Borelli, Amir M. Rahmani
2022	J	`jnl`	Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks. CoRR Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
2022	J	`jnl`	Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks. ACM Trans. Embed. Comput. Syst. Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
2022	—	`conf`	PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network. EMBC Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, Pasi Liljeberg
2022	—	`conf`	Personal Pain Sensitivity Prediction from Ultra-short-term Resting Heart Rate Variability. EMBC Mingzhe Jiang, Wanqing Wu, Yuning Wang, Amir M. Rahmani, Sanna Salanterä, Pasi Liljeberg
2022	J	`jnl`	Personal mental health navigator: Harnessing the power of data, personal models, and health cybernetics to promote psychological well-being. Frontiers Digit. Health 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
2022	—	`conf`	Prenatal Cortisol Levels Estimation Using Heart Rate and Heart Rate Variability: A Weak Supervised Learning Based Approach. EMBC Rui Cao, Yong Huang, Amir M. Rahmani, Karen Lindsay
2022	J	`jnl`	Robust PPG Peak Detection Using Dilated Convolutional Neural Networks. Sensors Kianoosh Kazemi, Juho Laitala, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2022	—	`conf`	World Food Atlas for Food Navigation. MADiMa @ ACM Multimedia Ali Rostami, Nitish Nagesh, Amir M. Rahmani, Ramesh C. Jain
2021	J	`jnl`	AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems. CoRR Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
2021	J	`jnl`	An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN. CoRR Amir Hosein Afandizadeh Zargari, Seyed Amir Hossein Aqajari, Hadi Khodabandeh, Amir M. Rahmani, Fadi J. Kurdahi
2021	—	`conf`	An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks. EMBC Seyed Amir Hossein Aqajari, Rui Cao, Amir Hosein Afandizadeh Zargari, Amir M. Rahmani
2021	J	`jnl`	An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks. CoRR Seyed Amir Hossein Aqajari, Rui Cao, Amir Hosein Afandizadeh Zargari, Amir M. Rahmani
2021	J	`jnl`	Configurable DSI partitioned approximate multiplier. Future Gener. Comput. Syst. Fahimeh Hajizadeh, Mohammadreza Binesh Marvasti, Seyyed Amir Asghari, Mostafa Abbas Mollaei, Amir M. Rahmani
2021	—	`conf`	Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. GoodIT Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato
2021	J	`jnl`	Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. CoRR Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato
2021	—	`conf`	Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS. EMBC Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A. Downs, Nikil D. Dutt, Amir M. Rahmani
2021	—	`conf`	Energy-Performance Co-Management of Mixed-Sensitivity Workloads on Heterogeneous Multi-core Systems. ASP-DAC Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg
2021	—	`conf`	Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram. EMBC Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil D. Dutt, Amir M. Rahmani, Carolyn E. Jones, Miranda M. Lim, Hung Cao
2021	—	`conf`	Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection. ANT/EDI40 Aysan Mahmoudzadeh, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg
2021	J	`jnl`	Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation. Sensors Fatemeh Sarhaddi, Iman Azimi, Sina Labbaf, Hannakaisa Niela-Vilén, Nikil D. Dutt, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani
2021	—	`conf`	Objective Pain Assessment Using Wrist-based PPG Signals: A Respiratory Rate Based Method. EMBC Rui Cao, Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Amir M. Rahmani
2021	Misc	`conf`	P2E-WGAN: ECG waveform synthesis from PPG with conditional wasserstein generative adversarial networks. SAC Khuong Vo, Emad Kasaeyan Naeini, Amir Naderi, Daniel Jilani, Amir M. Rahmani, Nikil D. Dutt, Hung Cao
2021	—	`conf`	Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. EMBC Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato
2021	J	`jnl`	Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. CoRR Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato
2021	—	`conf`	Reflecting on Self-Aware Systems-on-Chip. A Journey of Embedded and Cyber-Physical Systems Bryan Donyanavard, Tiago Mück, Kasra Moazzemi, Biswadip Maity, Caio Batista de Melo, Kenneth Michael Stewart, Saehanseul Yi, Amir M. Rahmani, Nikil D. Dutt
2021	J	`jnl`	SEAMS: Self-Optimizing Runtime Manager for Approximate Memory Hierarchies. ACM Trans. Embed. Comput. Syst. Biswadip Maity, Bryan Donyanavard, Anmol Surhonne, Amir M. Rahmani, Andreas Herkersdorf, Nikil D. Dutt
2021	—	`conf`	Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness. AICAS Sina Shahhosseini, Anil Kanduri, Milad Asgari Mehrabadi, Emad Kasaeyan Naeini, Dongjoo Seo, Sung-Soo Lim, Amir M. Rahmani, Nikil D. Dutt
2021	J	`jnl`	UBAR: User- and Battery-aware Resource Management for Smartphones. ACM Trans. Embed. Comput. Syst. Elham Shamsa, Alma Pröbstl, Nima Taherinejad, Anil Kanduri, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg
2021	—	`conf`	pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity. ANT/EDI40 Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Nikil D. Dutt, Amir M. Rahmani
2020	J	`jnl`	A novel method for victim block selection for NAND flash-based solid state drives based on scoring. J. Supercomput. Asal Khanbadr, Mohammadreza Binesh Marvasti, Seyyed Amir Asghari, Sohrab Khanbadr, Amir M. Rahmani
2020	J	`jnl`	AXES: Approximation Manager for Emerging Memory Architectures. CoRR Biswadip Maity, Bryan Donyanavard, Anmol Surhonne, Amir M. Rahmani, Andreas Herkersdorf, Nikil D. Dutt
2020	J	`jnl`	An Efficient and Robust Deep Learning Method with 1-D Octave Convolution to Extract Fetal Electrocardiogram. Sensors Khuong Vo, Tai Le, Amir M. Rahmani, Nikil D. Dutt, Hung Cao
2020	J	`jnl`	CAST: Content-Aware STT-MRAM Cache Write Management for Different Levels of Approximation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Amir Mahdi Hosseini Monazzah, Amir M. Rahmani, Antonio Miele, Nikil D. Dutt
2020	—	`conf`	Classification of Electroencephalogram in a Mouse Model of Traumatic Brain Injury Using Machine Learning Approaches EMBC Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao
2020	J	`jnl`	Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems. ACM Trans. Comput. Heal. Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
2020	J	`jnl`	Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS. CoRR Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A. Downs, Nikil D. Dutt, Amir M. Rahmani
2020	—	`conf`	Dynamic iFogSim: A Framework for Full-Stack Simulation of Dynamic Resource Management in IoT Systems. COINS Dongjoo Seo, Sina Shahhosseini, Milad Asgari Mehrabadi, Bryan Donyanavard, Sung-Soo Lim, Amir M. Rahmani, Nikil D. Dutt
2020	J	`jnl`	Edge-Assisted Control for Healthcare Internet of Things: A Case Study on PPG-Based Early Warning Score. ACM Trans. Internet Things Arman Anzanpour, Delaram Amiri, Iman Azimi, Marco Levorato, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani
2020	A	`conf`	Emergent Control of MPSoC Operation by a Hierarchical Supervisor / Reinforcement Learning Approach. DATE Florian Maurer, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt, Andreas Herkersdorf
2020	J	`jnl`	GSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data. CoRR Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt
2020	J	`jnl`	Guest Editorial Enabling Technologies in Health Engineering and Informatics for the New Revolution of Healthcare 4.0. IEEE J. Biomed. Health Informatics Geng Yang, Zhibo Pang, Amir M. Rahmani, Mianxiong Dong, Yuan-Ting Zhang, M. Jamal Deen, Nigel H. Lovell
2020	—	`conf`	HCI and mHealth Wearable Tech: A Multidisciplinary Research Challenge. CHI Extended Abstracts Lucretia Williams, Gillian R. Hayes, Yuqing Guo, Amir M. Rahmani, Nikil D. Dutt
2020	J	`jnl`	Homecare Robotic Systems for Healthcare 4.0: Visions and Enabling Technologies. IEEE J. Biomed. Health Informatics Geng Yang, Zhibo Pang, M. Jamal Deen, Mianxiong Dong, Yuan-Ting Zhang, Nigel H. Lovell, Amir M. Rahmani
2020	J	`jnl`	Intelligent Management of Mobile Systems through Computational Self-Awareness. CoRR Bryan Donyanavard, Amir M. Rahmani, Axel Jantsch, Onur Mutlu, Nikil D. Dutt
2020	J	`jnl`	Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice. Sensors Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Miranda M. Lim, Nikil D. Dutt, Amir M. Rahmani, Hung Cao
2020	J	`jnl`	Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being. CoRR 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
2020	J	`jnl`	RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems. IEEE Access Maximilian Götzinger, Dávid Juhász, Nima Taherinejad, Edwin Willegger, Benedikt Tutzer, Pasi Liljeberg, Axel Jantsch, Amir M. Rahmani
2020	Misc	`conf`	Robust ECG R-peak detection using LSTM. SAC Juho Laitala, Mingzhe Jiang, Elise Syrjälä, Emad Kasaeyan Naeini, Antti Airola, Amir M. Rahmani, Nikil D. Dutt, Pasi Liljeberg
2020	J	`jnl`	Self-Adaptive Memory Approximation: A Formal Control Theory Approach. IEEE Embed. Syst. Lett. Biswadip Maity, Majid Shoushtari, Amir M. Rahmani, Nikil D. Dutt
2020	J	`jnl`	The Causality Inference of Public Interest in Restaurants and Bars on COVID-19 Daily Cases in the US: A Google Trends Analysis. CoRR Milad Asgari Mehrabadi, Nikil D. Dutt, Amir M. Rahmani
2020	Misc	`conf`	User-centric Resource Management for Embedded Multi-core Processors. VLSID Elham Shamsa, Anil Kanduri, Nima Taherinejad, Alma Pröbstl, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg
2019	—	`conf`	A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things. ANT/EDI40 Emad Kasaeyan Naeini, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt
2019	B	`conf`	An Edge-Assisted and Smart System for Real-Time Pain Monitoring. CHASE Emad Kasaeyan Naeini, Sina Shahhosseini, Ajan Subramanian, Tingjue Yin, Amir M. Rahmani, Nikil D. Dutt
2019	—	`conf`	Analysis of Performance and Energy Consumption of Wearable Devices and Mobile Gateways in IoT Applications. COINS Mohammad R. Nakhkash, Tuan Nguyen Gia, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg
2019	—	`conf`	Dynamic Computation Migration at the Edge: Is There an Optimal Choice? ACM Great Lakes Symposium on VLSI Sina Shahhosseini, Iman Azimi, Arman Anzanpour, Axel Jantsch, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
2019	—	`conf`	End-to-End Approximation for Characterizing Energy Efficiency of IoT Applications. NORCAS Mohammadreza Nakhkash, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg
2019	J	`jnl`	Energy efficient fog-assisted IoT system for monitoring diabetic patients with cardiovascular disease. Future Gener. Comput. Syst. Tuan Nguyen Gia, Imed Ben Dhaou, Mai Ali, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen
2019	—	`conf`	Energy-efficient and Reliable Wearable Internet-of-Things through Fog-Assisted Dynamic Goal Management. ANT/EDI40 Arman Anzanpour, Humayun Rashid, Amir M. Rahmani, Axel Jantsch, Nikil D. Dutt, Pasi Liljeberg
2019	J	`jnl`	FRCD: Fast recovery of compressible data in flash memories. Comput. Electr. Eng. Mahyar Nazari, Reza Taghi Zadeh, Seyyed Amir Asghari, Mohammadreza Binesh Marvasti, Amir M. Rahmani
2019	A	`conf`	Goal-Driven Autonomy for Efficient On-chip Resource Management: Transforming Objectives to Goals. DATE Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt
2019	J	`jnl`	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. Kasra Moazzemi, Biswadip Maity, Saehanseul Yi, Amir M. Rahmani, Nikil D. Dutt
2019	J	`jnl`	Hierarchical adaptive Multi-objective resource management for many-core systems. J. Syst. Archit. André Luís Del Mestre Martins, Alzemiro Henrique Lucas da Silva, Amir M. Rahmani, Nikil D. Dutt, Fernando Gehm Moraes
2019	J	`jnl`	Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health. Future Gener. Comput. Syst. Iman Azimi, Tapio Pahikkala, Amir M. Rahmani, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg
2019	J	`jnl`	Model-free condition monitoring with confidence. Int. J. Comput. Integr. Manuf. Maximilian Götzinger, Nima Taherinejad, Hedyeh A. Kholerdi, Axel Jantsch, Edwin Willegger, Thomas Glatzl, Amir M. Rahmani, Thilo Sauter, Pasi Liljeberg
2019	J	`jnl`	Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study. IEEE Access Iman Azimi, Olugbenga Oti, Sina Labbaf, Hannakaisa Niela-Vilén, Anna Axelin, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani
2019	—	`conf`	Resource Constrained Self-Aware Cyber-Physical Systems (Tutorial). FAS*W@SASO/ICAC Nima Taherinejad, Peter R. Lewis, Axel Jantsch, Amir M. Rahmani, Lukas Esterle
2019	A*	`conf`	SOSA: Self-Optimizing Learning with Self-Adaptive Control for Hierarchical System-on-Chip Management. MICRO Bryan Donyanavard, Tiago Mück, Amir M. Rahmani, Nikil D. Dutt, Armin Sadighi, Florian Maurer, Andreas Herkersdorf
2019	Misc	`conf`	The information processing factory: a paradigm for life cycle management of dependable systems. CODES+ISSS 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
2018	C	`conf`	Approximation for Run-time Power Management. ISCAS Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg
2018	A*	`conf`	Approximation-aware coordinated power/performance management for heterogeneous multi-cores. DAC Anil Kanduri, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Cristiana Bolchini, Nikil D. Dutt
2018	—	`conf`	CHIPS-AHOy: a predictable holistic cyber-physical hypervisor for MPSoCs. SAMOS Tiago Mück, Antônio Augusto Fröhlich, Giovani Gracioli, Amir M. Rahmani, João Gabriel Reis, Nikil D. Dutt
2018	J	`jnl`	Design Methodology for Responsive and Rrobust MIMO Control of Heterogeneous Multicores. IEEE Trans. Multi Scale Comput. Syst. Tiago Mück, Bryan Donyanavard, Kasra Moazzemi, Amir M. Rahmani, Axel Jantsch, Nikil D. Dutt
2018	A	`conf`	Design methodologies for enabling self-awareness in autonomous systems. DATE 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
2018	B	`conf`	Edge-Assisted Sensor Control in Healthcare IoT. GLOBECOM Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt
2018	B	`conf`	Empowering Healthcare IoT Systems with Hierarchical Edge-Based Deep Learning. CHASE Iman Azimi, Janne Takalo-Mattila, Arman Anzanpour, Amir M. Rahmani, Juha-Pekka Soininen, Pasi Liljeberg
2018	J	`jnl`	Energy efficient wearable sensor node for IoT-based fall detection systems. Microprocess. Microsystems Tuan Nguyen Gia, Victor Kathan Sarker, Igor Tcarenko, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen
2018	J	`jnl`	Enhancing transient fault tolerance in embedded systems through an OS task level redundancy approach. Future Gener. Comput. Syst. Seyyed Amir Asghari, Mohammadreza Binesh Marvasti, Amir M. Rahmani
2018	J	`jnl`	Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach. Future Gener. Comput. Syst. Amir M. Rahmani, Tuan Nguyen Gia, Behailu Negash, Arman Anzanpour, Iman Azimi, Mingzhe Jiang, Pasi Liljeberg
2018	—	`conf`	Exploring Heterogeneous Task-Level Parallelism in a BMA Video Coding Application using System-Level Simulation. SBESC Carlos Michel Betemps, Mateus Santos De Melo, Amir M. Rahmani, Antonio Miele, Nikil D. Dutt, Bruno Zatt
2018	J	`jnl`	Fog Computing Approach for Mobility Support in Internet-of-Things Systems. IEEE Access Tuan Nguyen Gia, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen
2018	A	`conf`	Gain scheduled control for nonlinear power management in CMPs. DATE Bryan Donyanavard, Amir M. Rahmani, Tiago Mück, Kasra Moazemmi, Nikil D. Dutt
2018	—	`conf`	Goal Formulation: Abstracting Dynamic Objectives for Efficient On-chip Resource Allocation. NORCAS Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt
2018	J	`jnl`	HDGM: Hierarchical Dynamic Goal Management for Many-Core Resource Allocation. IEEE Embed. Syst. Lett. Amir M. Rahmani, Axel Jantsch, Nikil D. Dutt
2018	—	`conf`	Hierarchical dynamic goal management for IoT systems. ISQED Axel Jantsch, Arman Anzanpour, Hedyeh A. Kholerdi, Iman Azimi, Lydia C. Siafara, Amir M. Rahmani, Nima Taherinejad, Pasi Liljeberg, Nikil D. Dutt
2018	J	`jnl`	Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics. Future Gener. Comput. Syst. Farshad Firouzi, Amir M. Rahmani, Kunal Mankodiya, Mustafa Badaroglu, Geoff V. Merrett, P. Wong, Bahar J. Farahani
2018	B	`conf`	IoT-Based Healthcare System for Real-Time Maternal Stress Monitoring. CHASE Olugbenga Oti, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Anna Axelin, Pasi Liljeberg
2018	J	`jnl`	IoT-Based Remote Pain Monitoring System: From Device to Cloud Platform. IEEE J. Biomed. Health Informatics Geng Yang, Mingzhe Jiang, Wei Ouyang, Guangchao Ji, Haibo Xie, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
2018	J	`jnl`	On the feasibility of SISO control-theoretic DVFS for power capping in CMPs. Microprocess. Microsystems Sina Shahhosseini, Kasra Moazzemi, Amir M. Rahmani, Nikil D. Dutt
2018	A*	`conf`	SPECTR: Formal Supervisory Control and Coordination for Many-core Systems Resource Management. ASPLOS Amir M. Rahmani, Bryan Donyanavard, Tiago Mück, Kasra Moazzemi, Axel Jantsch, Onur Mutlu, Nikil D. Dutt
2018	C	`conf`	Trends in On-chip Dynamic Resource Management. DSD Kasra Moazzemi, Anil Kanduri, David Juhasz, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt
2018	—	`ed.`	Wireless Mobile Communication and Healthcare - 7th International Conference, MobiHealth 2017, Vienna, Austria, November 14-15, 2017, Proceedings MobiHealth Paolo Perego, Amir M. Rahmani, Nima Taherinejad
2018	J	`jnl`	adBoost: Thermal Aware Performance Boosting Through Dark Silicon Patterning. IEEE Trans. Computers Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Muhammad Shafique, Axel Jantsch, Pasi Liljeberg
2017	J	`jnl`	Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications. IEEE Trans. Very Large Scale Integr. Syst. Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen, Nikil D. Dutt
2017	B	`conf`	Autonomous Patient/Home Health Monitoring Powered by Energy Harvesting. GLOBECOM Mai Ali, Tuan Nguyen Gia, Abd-Elhamid M. Taha, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen
2017	J	`jnl`	Can Dark Silicon Be Exploited to Prolong System Lifetime? IEEE Des. Test Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Antonio Miele, Cristiana Bolchini, Hannu Tenhunen
2017	—	`conf`	Dependability evaluation of SISO control-theoretic power managers for processor architectures. NORCAS Sina Shahhosseini, Kasra Moazzemi, Amir M. Rahmani, Nikil D. Dutt
2017	—	`conf`	DoS-IL: A Domain Specific Internet of Things Language for Resource Constrained Devices. ANT/SEIT Behailu Negash, Tomi Westerlund, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
2017	—	`conf`	Empowering autonomy through self-awareness in MPSoCs. NEWCAS Nikil D. Dutt, Amir M. Rahmani, Axel Jantsch
2017	—	`conf`	Enhancing the Self-Aware Early Warning Score System Through Fuzzified Data Reliability Assessment. MobiHealth Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima Taherinejad, Amir M. Rahmani
2017	—	`conf`	From threads to events: Adapting a lightweight middleware for Contiki OS. CCNC Uzair A. Noman, Behailu Negash, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
2017	J	`jnl`	HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT. ACM Trans. Embed. Comput. Syst. Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Tapio Pahikkala, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt
2017	J	`jnl`	Internet of things for remote elderly monitoring: a study from user-centered perspective. J. Ambient Intell. Humaniz. Comput. Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
2017	—	`conf`	IoT-based continuous glucose monitoring system: A feasibility study. ANT/SEIT Tuan Nguyen Gia, Mai Ali, Imed Ben Dhaou, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen
2017	B	`conf`	Low-cost fog-assisted health-care IoT system with energy-efficient sensor nodes. IWCMC Tuan Nguyen Gia, Mingzhe Jiang, Victor Kathan Sarker, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen
2017	J	`jnl`	Performance/Reliability-Aware Resource Management for Many-Cores in Dark Silicon Era. IEEE Trans. Computers Mohammad Hashem Haghbayan, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
2017	A	`conf`	QuARK: Quality-configurable approximate STT-MRAM cache by fine-grained tuning of reliability-energy knobs. ISLPED Amir Mahdi Hosseini Monazzah, Majid Shoushtari, Seyed Ghassem Miremadi, Amir M. Rahmani, Nikil D. Dutt
2017	Misc	`conf`	Quality-configurable memory hierarchy through approximation: special session. CASES Majid Shoushtari, Amir M. Rahmani, Nikil D. Dutt
2017	J	`jnl`	Reliability-Aware Runtime Power Management for Many-Core Systems in the Dark Silicon Era. IEEE Trans. Very Large Scale Integr. Syst. Amir M. Rahmani, Mohammad Hashem Haghbayan, Antonio Miele, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen
2017	J	`jnl`	Self-Awareness in Systems on Chip - A Survey. IEEE Des. Test Axel Jantsch, Nikil D. Dutt, Amir M. Rahmani
2017	A	`conf`	Self-awareness in remote health monitoring systems using wearable electronics. DATE Arman Anzanpour, Iman Azimi, Maximilian Gotzinger, Amir M. Rahmani, Nima Taherinejad, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt
2017	—	`conf`	Smart energy efficient gateway for Internet of mobile things. CCNC Igor Tcarenko, Yuxiang Huan, David Juhasz, Amir M. Rahmani, Zhuo Zou, Tomi Westerlund, Pasi Liljeberg, Li-Rong Zheng, Hannu Tenhunen
2017	—	`conf`	Ultra-short-term analysis of heart rate variability for real-time acute pain monitoring with wearable electronics. BIBM Mingzhe Jiang, Riitta Mieronkoski, Amir M. Rahmani, Nora Hagelberg, Sanna Salanterä, Pasi Liljeberg
2016	—	`conf`	A reliable and high-performance Network-on-Chip router through decoupled resource sharing. HPCS Mostafa Shahiri, Mojtaba Valinataj, Amir M. Rahmani
2016	—	`conf`	Energy-Efficient IoT-Enabled Fall Detection System with Messenger-Based Notification. MobiHealth Igor Tcarenko, Tuan Nguyen Gia, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen
2016	—	`conf`	Enhancing the Early Warning Score System Using Data Confidence. MobiHealth Maximilian Götzinger, Nima Taherinejad, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen
2016	—	`conf`	IoT-based fall detection system with energy efficient sensor nodes. NORCAS Tuan Nguyen Gia, Igor Tcarenko, Victor K. Sarker, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen
2016	—	`conf`	Medical warning system based on Internet of Things using fog computing. IWBIS Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Tapio Salakoski
2016	—	`conf`	Self-aware Early Warning Score System for IoT-Based Personalized Healthcare. eHealth 360° Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
2016	—	`conf`	The Role of Self-Awareness and Hierarchical Agents in Resource Management for Many-Core Systems. MCSoC Maximilian Gotzinger, Amir M. Rahmani, Martin Pongratz, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen