Amir M. Rahmani

Amir M. Rahmani

University of California, Irvine

H-index: 47

North America-United States

About Amir M. Rahmani

Amir M. Rahmani, With an exceptional h-index of 47 and a recent h-index of 42 (since 2020), a distinguished researcher at University of California, Irvine, specializes in the field of AI/ML in Healthcare, Wearable Computing, mHealth, Health Informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection

The other COVID‐19 survivors: Timing, duration, and health impact of post‐acute sequelae of SARS‐CoV‐2 infection

The effect of SARS-COV-2 variant on non-respiratory features and mortality among vaccinated and non-fully vaccinated patients

Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method

Perspectives of Japanese elders and their healthcare providers on use of wearable technology to monitor their health at home: A qualitative exploration

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI

Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients

Integrating wearable sensor data and self-reported diaries for personalized affect forecasting

Amir M. Rahmani Information

University

Position

Assistant Professor Nursing Computer Science & EECS

Citations(all)

10491

Citations(since 2020)

8279

Cited By

5432

hIndex(all)

47

hIndex(since 2020)

42

i10Index(all)

167

i10Index(since 2020)

139

Email

University Profile Page

University of California, Irvine

Google Scholar

View Google Scholar Profile

Amir M. Rahmani Skills & Research Interests

AI/ML in Healthcare

Wearable Computing

mHealth

Health Informatics

Top articles of Amir M. Rahmani

Title

Journal

Author(s)

Publication Date

Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection

arXiv preprint arXiv:2402.10862

Ziyu Wang

Zhongqi Yang

Iman Azimi

Amir M Rahmani

2024/2/16

The other COVID‐19 survivors: Timing, duration, and health impact of post‐acute sequelae of SARS‐CoV‐2 infection

Journal of clinical nursing

Natalie Lambert

Survivor Corps

Sarah A El‐Azab

Nathan S Ramrakhiani

Anthony Barisano

...

2024/1

The effect of SARS-COV-2 variant on non-respiratory features and mortality among vaccinated and non-fully vaccinated patients

Vaccine

Shannon A Cotton

Ajan Subramanian

Thomas D Hughes

Yong Huang

Carmen Josefa Sierra

...

2024/4/11

Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method

arXiv preprint arXiv:2402.11123

Yong Huang

Charles A Downs

Amir M Rahmani

2024/2/16

Perspectives of Japanese elders and their healthcare providers on use of wearable technology to monitor their health at home: A qualitative exploration

International Journal of Nursing Studies

Mika Tanaka

Shinobu Ishii

Akiko Matsuoka

Sachiko Tanabe

Shota Matsunaga

...

2024/4/1

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI

Mahyar Abbasian

Elahe Khatibi

Iman Azimi

David Oniani

Zahra Shakeri Hossein Abad

...

2024/3/29

Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients

arXiv preprint arXiv:2402.10153

Mahyar Abbasian

Zhongqi Yang

Elahe Khatibi

Pengfei Zhang

Nitish Nagesh

...

2024/2/15

Integrating wearable sensor data and self-reported diaries for personalized affect forecasting

Smart Health

Zhongqi Yang

Yuning Wang

Ken S Yamashita

Elahe Khatibi

Iman Azimi

...

2024/6/1

Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm

arXiv preprint arXiv:2402.07477

Ali Rostami

Ramesh Jain

Amir M Rahmani

2024/2/12

Preterm Birth Risk Stratification through Longitudinal Heart Rate and HRV Monitoring in Daily Life

Mohammad Feli

Iman Azimi

Fatemeh Sarhaddi

Zahra Sharifi-Heris

Hannakaisa Niela-Vilen

...

2024/3/14

ChatDiet: Empowering personalized nutrition-oriented food recommender chatbots through an LLM-augmented framework

Smart Health

Zhongqi Yang

Elahe Khatibi

Nitish Nagesh

Mahyar Abbasian

Iman Azimi

...

2024/6/1

Personalized and adaptive neural networks for pain detection from multi-modal physiological features

Expert Systems with Applications

Mingzhe Jiang

Riitta Rosio

Sanna Salanterä

Amir M Rahmani

Pasi Liljeberg

...

2024/1/1

Physiological and emotional assessment of college students using wearable and mobile devices during the 2020 COVID-19 lockdown: An intensive, longitudinal dataset

Data in Brief

Sina Labbaf

Mahyar Abbasian

Brenda Nguyen

Matthew Lucero

Maryam Sabah Ahmed

...

2024/6/1

Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach

arXiv preprint arXiv:2402.16909

Kianoosh Kazemi

Iina Ryhtä

Iman Azimi

Hannakaisa Niela-Vilen

Anna Axelin

...

2024/2/25

Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data

Nitish Nagesh

Iman Azimi

Tom Andriola

Amir M Rahmani

Ramesh Jain

2023/1/9

Objective prediction of next-day’s affect using multimodal physiological and behavioral data: Algorithm development and validation study

JMIR Formative Research

Salar Jafarlou

Jocelyn Lai

Iman Azimi

Zahra Mousavi

Sina Labbaf

...

2023/3/15

ZotCare: a flexible, personalizable, and affordable mhealth service provider

Frontiers in Digital Health

Sina Labbaf

Mahyar Abbasian

Iman Azimi

Nikil Dutt

Amir M Rahmani

2023/9/14

Conversational health agents: A personalized llm-powered agent framework

arXiv preprint arXiv:2310.02374

Mahyar Abbasian

Iman Azimi

Amir M Rahmani

Ramesh Jain

2023/10/3

Exploring access as a process of adaptation in a self-monitoring perinatal ehealth system: Mixed methods study from a sociomaterial perspective

JMIR Formative Research

Jennifer Auxier

Kaisu T Savolainen

Miriam Bender

Amir M Rahmani

Fatemeh Sarhaddi

...

2023/5/15

Active reinforcement learning for personalized stress monitoring in everyday settings

Ali Tazarv

Sina Labbaf

Amir Rahmani

Nikil Dutt

Marco Levorato

2023/6/21

See List of Professors in Amir M. Rahmani University(University of California, Irvine)

Co-Authors

H-index: 74
Nikil Dutt

Nikil Dutt

University of California, Irvine

H-index: 54
Pasi Liljeberg

Pasi Liljeberg

Turun yliopisto

H-index: 51
Axel Jantsch

Axel Jantsch

Technische Universität Wien

H-index: 44
Jessica L. Borelli

Jessica L. Borelli

University of California, Irvine

H-index: 42
Juha Plosila

Juha Plosila

Turun yliopisto

H-index: 38
Tomi Westerlund

Tomi Westerlund

Turun yliopisto

academic-engine