Amir M. Rahmani

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 169

Top Venues

CoRR

EMBC

DATE

Future Gener. Comput. Syst.

Publications

Yong Huang, Charles A. Downs, Amir M. Rahmani
Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method. CoRR (2024)
Elahe Khatibi, Mahyar Abbasian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
ALCM: Autonomous LLM-Augmented Causal Discovery Framework. CoRR (2024)
Ajan Subramanian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis. CoRR (2024)
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 (2024)
Ali Rostami, Ramesh C. Jain, Amir M. Rahmani
Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm. CoRR (2024)
Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU. CoRR (2024)
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)
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 (2024)
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)
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)
Mahyar Abbasian, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Ramesh C. Jain
Empathy Through Multimodality in Conversational Interfaces. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Seyed Amir Hossein Aqajari, Sina Labbaf, Phuc Hoang Tran, Brenda Nguyen, Milad Asgari Mehrabadi, Marco Levorato, Nikil D. Dutt, Amir M. Rahmani
Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings. CoRR (2024)
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 (2024)
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)
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 (2023)
Emad Kasaeyan Naeini, Fatemeh Sarhaddi, Iman Azimi, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
A Deep Learning-based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability. ACM Trans. Comput. Heal. 4 (4) (2023)
Mahyar Abbasian, Iman Azimi, Amir M. Rahmani, Ramesh C. Jain
Conversational Health Agents: A Personalized LLM-Powered Agent Framework. CoRR (2023)
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)
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) (2023)
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 (2023)
Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. CoRR (2023)
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)
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)
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, Amir M. Rahmani
PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack. ANT/EDI40 (2023)
Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings? EMBC (2023)
Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani
ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider. CoRR (2023)
Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani
Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. BSN (2023)
Manoj Vishwanath, Steven Cao, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao
Reducing Intraspecies and Interspecies Covariate Shift in Traumatic Brain Injury EEG of Humans and Mice Using Transfer Euclidean Alignment. CoRR (2023)
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)
Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU. ICBRA (2023)
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)
Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
DynaFuse: Dynamic Fusion for Resource Efficient Multimodal Machine Learning Inference. IEEE Embed. Syst. Lett. 15 (4) (2023)
Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. CoRR (2022)
Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks. CoRR (2022)
Sina Shahhosseini, Arman Anzanpour, Iman Azimi, Sina Labbaf, Dongjoo Seo, Sung-Soo Lim, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
Exploring computation offloading in IoT systems. Inf. Syst. 107 (2022)
Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Amir Hosein Afandizadeh Zargari, Nikil D. Dutt, Amir M. Rahmani
Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks. EMBC (2022)
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) (2022)
Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil D. Dutt
Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. ACM Great Lakes Symposium on VLSI (2022)
Salar Jafarlou, Jocelyn Lai, Zahra Mousavi, Sina Labbaf, Ramesh Jain, Nikil D. Dutt, Jessica L. Borelli, Amir M. Rahmani
Objective Prediction of Tomorrow's Affect Using Multi-Modal Physiological Data and Personal Chronicles: A Study of Monitoring College Student Well-being in 2020. CoRR (2022)
Salar Jafarlou, Amir M. Rahmani, Nikil D. Dutt, Sanaz Rahimi Mousavi
ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks. EMBC (2022)
Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. CoRR (2022)
Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani
Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. ICCD (2022)
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)
Kianoosh Kazemi, Juho Laitala, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
Robust PPG Peak Detection Using Dilated Convolutional Neural Networks. Sensors 22 (16) (2022)
Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, Pasi Liljeberg
PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network. EMBC (2022)
Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Iman Azimi, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Arman Anzanpour, Nikil D. Dutt, Ramesh C. Jain, Jessica L. Borelli
Personal mental health navigator: Harnessing the power of data, personal models, and health cybernetics to promote psychological well-being. Frontiers Digit. Health 4 (2022)
Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems. DATE (2022)
Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Amir Hosein Afandizadeh Zargari, Nikil D. Dutt, Amir M. Rahmani
Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks. CoRR (2022)
Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. ISQED (2022)
Manoj Vishwanath, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao
Label Alignment Improves EEG-based Machine Learning-based Classification of Traumatic Brain Injury. EMBC (2022)
Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini, Hamidreza Alikhani, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications. CoRR (2022)
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) (2022)
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)
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) (2022)
Khuong Vo, Emad Kasaeyan Naeini, Amir Naderi, Daniel Jilani, Amir M. Rahmani, Nikil D. Dutt, Hung Cao
P2E-WGAN: ECG waveform synthesis from PPG with conditional wasserstein generative adversarial networks. SAC (2021)
Fahimeh Hajizadeh, Mohammadreza Binesh Marvasti, Seyyed Amir Asghari, Mostafa Abbas Mollaei, Amir M. Rahmani
Configurable DSI partitioned approximate multiplier. Future Gener. Comput. Syst. 115 (2021)
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)
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)
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)
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)
Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. CoRR (2021)
Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt
AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems. CoRR (2021)
Sina Shahhosseini, Anil Kanduri, Milad Asgari Mehrabadi, Emad Kasaeyan Naeini, Dongjoo Seo, Sung-Soo Lim, Amir M. Rahmani, Nikil D. Dutt
Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness. AICAS (2021)
Fatemeh Sarhaddi, Iman Azimi, Sina Labbaf, Hannakaisa Niela-Vilén, Nikil D. Dutt, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani
Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation. Sensors 21 (7) (2021)
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 (2021)
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)
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) (2021)
Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A. Downs, Nikil D. Dutt, Amir M. Rahmani
Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS. EMBC (2021)
Biswadip Maity, Bryan Donyanavard, Anmol Surhonne, Amir M. Rahmani, Andreas Herkersdorf, Nikil D. Dutt
SEAMS: Self-Optimizing Runtime Manager for Approximate Memory Hierarchies. ACM Trans. Embed. Comput. Syst. 20 (5) (2021)
Bryan Donyanavard, Tiago Mück, Kasra Moazzemi, Biswadip Maity, Caio Batista de Melo, Kenneth Stewart, Saehanseul Yi, Amir M. Rahmani, Nikil D. Dutt
Reflecting on Self-Aware Systems-on-Chip. A Journey of Embedded and Cyber-Physical Systems (2021)
Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Nikil D. Dutt, Amir M. Rahmani
pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity. ANT/EDI40 (2021)
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 (2021)
Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. GoodIT (2021)
Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. CoRR (2021)
Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. EMBC (2021)
Biswadip Maity, Bryan Donyanavard, Anmol Surhonne, Amir M. Rahmani, Andreas Herkersdorf, Nikil D. Dutt
AXES: Approximation Manager for Emerging Memory Architectures. CoRR (2020)
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 (2020)
Biswadip Maity, Majid Shoushtari, Amir M. Rahmani, Nikil D. Dutt
Self-Adaptive Memory Approximation: A Formal Control Theory Approach. IEEE Embed. Syst. Lett. 12 (2) (2020)
Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt
GSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data. CoRR (2020)
Juho Laitala, Mingzhe Jiang, Elise Syrjälä, Emad Kasaeyan Naeini, Antti Airola, Amir M. Rahmani, Nikil D. Dutt, Pasi Liljeberg
Robust ECG R-peak detection using LSTM. SAC (2020)
Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil D. Dutt, Ramesh Jain, Jessica L. Borelli
Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being. CoRR (2020)
Elham Shamsa, Anil Kanduri, Nima Taherinejad, Alma Pröbstl, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg
User-centric Resource Management for Embedded Multi-core Processors. VLSI Design (2020)
Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao
. EMBC (2020)
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) (2020)
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) (2020)
Florian Maurer, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt, Andreas Herkersdorf
Emergent Control of MPSoC Operation by a Hierarchical Supervisor / Reinforcement Learning Approach. DATE (2020)
Khuong Vo, Tai Le, Amir M. Rahmani, Nikil D. Dutt, Hung Cao
An Efficient and Robust Deep Learning Method with 1-D Octave Convolution to Extract Fetal Electrocardiogram. Sensors 20 (13) (2020)
Milad Asgari Mehrabadi, Nikil D. Dutt, Amir M. Rahmani
The Causality Inference of Public Interest in Restaurants and Bars on COVID-19 Daily Cases in the US: A Google Trends Analysis. CoRR (2020)
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)
Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems. ACM Trans. Comput. Heal. 1 (2) (2020)
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)
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) (2020)
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 (2020)
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) (2020)
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) (2020)

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Amir M. Rahmani