Amir M. Rahmani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
22
Active years
2017–2026
Best venue rank
A*
Where they publish
- CBSN9 papers
- ADATE7 papers
- UnrankedANT7 papers
- MulticonferenceSAC4 papers
- BCHASE3 papers
- AISLPED2 papers
- BGLOBECOM2 papers
- A*ACL1 paper
- BSmartComp1 paper
- AICCAD1 paper
- BMMM1 paper
- CICCD1 paper
- BASPDAC1 paper
- A*CHI1 paper
- NationalVLSID1 paper
- A*MICRO1 paper
- A*ASPLOS1 paper
- A*DAC1 paper
- CDSD1 paper
- CISCAS1 paper
- Journal PublishedCASES1 paper
- BIWCMC1 paper
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | DemMA: Dementia Multi-Turn Dialogue Agent with Expert-Guided Reasoning and Action Simulation. | Yutong Song, Jiang Wu, Kazi Shaharair Sharif, Pengfei Zhang, Wenjun Huang, Honghui Xu, Nikil D. Dutt, Amir M. Rahmani |
| 2026 | SmartComp | Multimodal-to-Semantics Large Language Model Framework for Loneliness Assessment. | Chenxin Chen, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg |
| 2025 | ICCAD | Invited Paper: Mindful AI for Pervasive Health and Wellbeing (PHW). | Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt |
| 2025 | BSN | AGILE: A Multi-Task Contrastive Learning Framework with Adversarial Gradient Iterative Learning for Bio-Signal Anonymization. | Tamonash Bhattacharyya, Farshad Firouzi, Amir M. Rahmani, Sanaz Rahimi Mousavi, Krishnendu Chakrabarty |
| 2025 | BSN | Domain-Specific Constitutional AI: Enhancing Safety in LLM-Powered Mental Health Chatbots. | Chenhan Lyu, Yutong Song, Pengfei Zhang, Amir M. Rahmani |
| 2025 | BSN | MedCoT-RAG: Causal Chain-of-Thought RAG for Medical Question Answering. | Ziyu Wang, Elahe Khatibi, Amir M. Rahmani |
| 2025 | BSN | FoodAgent: A Multi-Modal Mixture of Experts Reasoning Agent for Divide-and-Conquer Food Nutrition Estimation. | Pengfei Zhang, Yutong Song, Chenhan Lyu, Ziyu Wang, Amir M. Rahmani |
| 2024 | DATE | SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness. | Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt |
| 2024 | BSN | Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis. | Ajan Subramanian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani |
| 2024 | BSN | ECG Unveiled: Analysis of Client Re-Identification Risks in Real-World ECG Datasets. | Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani |
| 2024 | BSN | Attention-Based Explainable AI for Wearable Multivariate Data: A Case Study on Affect Status Prediction. | Yuning Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg |
| 2024 | ISLPED | EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. | Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt |
| 2024 | SAC | Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation. | Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari, Seyed Amir Hossein Aqajari, Hongsheng Lu, Amir M. Rahmani |
| 2023 | ANT | PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack. | Mahyar Abbasian, Elahe Khatibi, Iman Azimi, Amir M. Rahmani |
| 2023 | BSN | Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach. | Elahe Khatibi, Mahyar Abbasian, Iman Azimi, Sina Labbaf, Mohammad Feli, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani |
| 2023 | BSN | Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. | Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani |
| 2023 | MMM | Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data. | Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh C. Jain |
| 2023 | SAC | Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring. | Yuning Wang, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Pasi Liljeberg |
| 2022 | DATE | AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems. | Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt |
| 2022 | ICCD | Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. | Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani |
| 2021 | ANT | pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity. | Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Nikil D. Dutt, Amir M. Rahmani |
| 2021 | ANT | Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection. | Aysan Mahmoudzadeh, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg |
| 2021 | ASPDAC | Energy-Performance Co-Management of Mixed-Sensitivity Workloads on Heterogeneous Multi-core Systems. | Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg |
| 2021 | SAC | P2E-WGAN: ECG waveform synthesis from PPG with conditional wasserstein generative adversarial networks. | Khuong Vo, Emad Kasaeyan Naeini, Amir Naderi, Daniel Jilani, Amir M. Rahmani, Nikil D. Dutt, Hung Cao |
| 2020 | CHI | HCI and mHealth Wearable Tech: A Multidisciplinary Research Challenge. | Lucretia Williams, Gillian R. Hayes, Yuqing Guo, Amir M. Rahmani, Nikil D. Dutt |
| 2020 | DATE | Emergent Control of MPSoC Operation by a Hierarchical Supervisor / Reinforcement Learning Approach. | Florian Maurer, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt, Andreas Herkersdorf |
| 2020 | SAC | Robust ECG R-peak detection using LSTM. | Juho Laitala, Mingzhe Jiang, Elise Syrjl, Emad Kasaeyan Naeini, Antti Airola, Amir M. Rahmani, Nikil D. Dutt, Pasi Liljeberg |
| 2020 | VLSID | User-centric Resource Management for Embedded Multi-core Processors. | Elham Shamsa, Anil Kanduri, Nima Taherinejad, Alma Prbstl, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg |
| 2019 | ANT | Energy-efficient and Reliable Wearable Internet-of-Things through Fog-Assisted Dynamic Goal Management. | Arman Anzanpour, Humayun Rashid, Amir M. Rahmani, Axel Jantsch, Nikil D. Dutt, Pasi Liljeberg |
| 2019 | ANT | A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things. | Emad Kasaeyan Naeini, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt |
| 2019 | CHASE | An Edge-Assisted and Smart System for Real-Time Pain Monitoring. | Emad Kasaeyan Naeini, Sina Shahhosseini, Ajan Subramanian, Tingjue Yin, Amir M. Rahmani, Nikil D. Dutt |
| 2019 | DATE | Goal-Driven Autonomy for Efficient On-chip Resource Management: Transforming Objectives to Goals. | Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt |
| 2019 | MICRO | SOSA: Self-Optimizing Learning with Self-Adaptive Control for Hierarchical System-on-Chip Management. | Bryan Donyanavard, Tiago Mck, Amir M. Rahmani, Nikil D. Dutt, Armin Sadighi, Florian Maurer, Andreas Herkersdorf |
| 2018 | ASPLOS | SPECTR: Formal Supervisory Control and Coordination for Many-core Systems Resource Management. | Amir M. Rahmani, Bryan Donyanavard, Tiago Mck, Kasra Moazzemi, Axel Jantsch, Onur Mutlu, Nikil D. Dutt |
| 2018 | CHASE | Empowering Healthcare IoT Systems with Hierarchical Edge-Based Deep Learning. | Iman Azimi, Janne Takalo-Mattila, Arman Anzanpour, Amir M. Rahmani, Juha-Pekka Soininen, Pasi Liljeberg |
| 2018 | CHASE | IoT-Based Healthcare System for Real-Time Maternal Stress Monitoring. | Olugbenga Oti, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Anna Axelin, Pasi Liljeberg |
| 2018 | DAC | Approximation-aware coordinated power/performance management for heterogeneous multi-cores. | Anil Kanduri, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Cristiana Bolchini, Nikil D. Dutt |
| 2018 | DATE | Gain scheduled control for nonlinear power management in CMPs. | Bryan Donyanavard, Amir M. Rahmani, Tiago Mck, Kasra Moazemmi, Nikil D. Dutt |
| 2018 | DATE | Design methodologies for enabling self-awareness in autonomous systems. | Armin Sadighi, Bryan Donyanavard, Thawra Kadeed, Kasra Moazzemi, Tiago Mck, Ahmed Nassar, Amir M. Rahmani, Thomas Wild, Nikil D. Dutt, Rolf Ernst, Andreas Herkersdorf, Fadi J. Kurdahi |
| 2018 | DSD | Trends in On-chip Dynamic Resource Management. | Kasra Moazzemi, Anil Kanduri, David Juhasz, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt |
| 2018 | GLOBECOM | Edge-Assisted Sensor Control in Healthcare IoT. | Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt |
| 2018 | ISCAS | Approximation for Run-time Power Management. | Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg |
| 2017 | ANT | IoT-based continuous glucose monitoring system: A feasibility study. | Tuan Nguyen Gia, Mai Ali, Imed Ben Dhaou, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen |
| 2017 | ANT | DoS-IL: A Domain Specific Internet of Things Language for Resource Constrained Devices. | Behailu Negash, Tomi Westerlund, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen |
| 2017 | CASES | Quality-configurable memory hierarchy through approximation: special session. | Majid Shoushtari, Amir M. Rahmani, Nikil D. Dutt |
| 2017 | DATE | Self-awareness in remote health monitoring systems using wearable electronics. | Arman Anzanpour, Iman Azimi, Maximilian Gotzinger, Amir M. Rahmani, Nima Taherinejad, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt |
| 2017 | GLOBECOM | Autonomous Patient/Home Health Monitoring Powered by Energy Harvesting. | Mai Ali, Tuan Nguyen Gia, Abd-Elhamid M. Taha, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen |
| 2017 | ISLPED | QuARK: Quality-configurable approximate STT-MRAM cache by fine-grained tuning of reliability-energy knobs. | Amir Mahdi Hosseini Monazzah, Majid Shoushtari, Seyed Ghassem Miremadi, Amir M. Rahmani, Nikil D. Dutt |
| 2017 | IWCMC | Low-cost fog-assisted health-care IoT system with energy-efficient sensor nodes. | Tuan Nguyen Gia, Mingzhe Jiang, Victor Kathan Sarker, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen |