World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5969
World Ranking
12057
National Ranking
4912

Overview

Hassan Ghasemzadeh is affiliated with Arizona State University in the United States. Their research primarily spans the fields of Computer Science and Medicine, with a distinctive focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Biomedical Engineering, and Cardiology and Cardiovascular Medicine.

The body of their work addresses multiple specialized topics. These include Context-Aware Activity Recognition Systems, Anomaly Detection Techniques and Applications, Emotion and Mood Recognition, Human Pose and Action Recognition, Heart Rate Variability and Autonomic Control, Non-Invasive Vital Sign Monitoring, and Mental Health Research Topics.

Ghasemzadeh has contributed to many research papers published across notable venues. Frequent publication venues include arXiv (Cornell University), Sensors, IEEE Sensors Journal, the 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), and Preprints.org.

Some recent representative papers authored or coauthored by Ghasemzadeh are:

  • "Improved Knowledge Distillation via Teacher Assistant," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Understanding the Role of Training Regimes in Continual Learning," 2020, arXiv (Cornell University)
  • "Associations Between Physiological Signals Captured Using Wearable Sensors and Self-reported Outcomes Among Adults in Alcohol Use Disorder Recovery: Development and Usability Study," 2021, JMIR Formative Research
  • "Pervasive Lying Posture Tracking," 2020, MDPI (MDPI AG)
  • "Personalized Activity Recognition Using Partially Available Target Data," 2021, IEEE Transactions on Mobile Computing

Collaboration has been an integral part of this researcher's work. Frequent coauthors include Ramesh Kumar Sah, Shovito Barua Soumma, Parastoo Alinia, Michael J. Cleveland, and Asiful Arefeen. This indicates active engagement in collaborative research efforts across different topics and venues.

Best Publications

  • Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

    Raffaele Gravina;Parastoo Alinia;Hassan Ghasemzadeh;Giancarlo Fortino

  • Improved Knowledge Distillation via Teacher Assistant

    Seyed Iman Mirzadeh;Mehrdad Farajtabar;Ang Li;Nir Levine

  • Coordination Analysis of Human Movements With Body Sensor Networks: A Signal Processing Model to Evaluate Baseball Swings

    H Ghasemzadeh;R Jafari

  • A Body Sensor Network With Electromyogram and Inertial Sensors: Multimodal Interpretation of Muscular Activities

    H. Ghasemzadeh;R. Jafari;B. Prabhakaran

  • Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing

    Hassan Ghasemzadeh;Vitali Loseu;Eric Guenterberg;Roozbeh Jafari

  • Power-Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection

    Hassan Ghasemzadeh;Navid Amini;Ramyar Saeedi;Majid Sarrafzadeh

  • Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher

    Seyed Iman Mirzadeh;Mehrdad Farajtabar;Ang Li;Hassan Ghasemzadeh

  • Physical Movement Monitoring Using Body Sensor Networks: A Phonological Approach to Construct Spatial Decision Trees

    H Ghasemzadeh;R Jafari

  • WANDA: an end-to-end remote health monitoring and analytics system for heart failure patients

    Mars Lan;Lauren Samy;Nabil Alshurafa;Myung-Kyung Suh

  • Understanding the Role of Training Regimes in Continual Learning

    Seyed Iman Mirzadeh;Mehrdad Farajtabar;Razvan Pascanu;Hassan Ghasemzadeh

  • Examining the effects of remote monitoring systems on activation, self-care, and quality of life in older patients with chronic heart failure

    Lorraine S. Evangelista;Jung-Ah Lee;Alison A. Moore;Marjan Motie

  • How Accurate Is Your Activity Tracker? A Comparative Study of Step Counts in Low-Intensity Physical Activities.

    Parastoo Alinia;Chris Cain;Ramin Fallahzadeh;Armin Shahrokni

  • Wearable coach for sport training: A quantitative model to evaluate wrist-rotation in golf

    Hassan Ghasemzadeh;Vitali Loseu;Roozbeh Jafari

  • Structural Action Recognition in Body Sensor Networks: Distributed Classification Based on String Matching

    H. Ghasemzadeh;V. Loseu;R. Jafari

  • Power-Aware Activity Monitoring Using Distributed Wearable Sensors

    Hassan Ghasemzadeh;Pasquale Panuccio;Simone Trovato;Giancarlo Fortino

  • Body sensor networks for driver distraction identification

    A. Sathyanarayana;S. Nageswaren;H. Ghasemzadeh;R. Jafari

  • Personalized Human Activity Recognition Using Convolutional Neural Networks

    Seyed Ali Rokni;Marjan Nourollahi;Hassan Ghasemzadeh

  • Wireless Medical-Embedded Systems: A Review of Signal-Processing Techniques for Classification

    H. Ghasemzadeh;S. Ostadabbas;E. Guenterberg;A. Pantelopoulos

  • Modified pseudo LRU replacement algorithm

    H. Ghasemzadeh;S. Mazrouee;M.R. Kakoee

  • A Method for Extracting Temporal Parameters Based on Hidden Markov Models in Body Sensor Networks With Inertial Sensors

    E. Guenterberg;A.Y. Yang;H. Ghasemzadeh;R. Jafari

  • Linear Mode Connectivity in Multitask and Continual Learning

    Seyed Iman Mirzadeh;Mehrdad Farajtabar;Dilan Gorur;Razvan Pascanu

Frequent Co-Authors

Roozbeh Jafari
Roozbeh Jafari Texas A&M University
Majid Sarrafzadeh
Majid Sarrafzadeh University of California, Los Angeles
Diane J. Cook
Diane J. Cook Washington State University
Giancarlo Fortino
Giancarlo Fortino University of Calabria
Razvan Pascanu
Razvan Pascanu DeepMind (United Kingdom)
Carol M. Mangione
Carol M. Mangione University of California, Los Angeles
Ruzena Bajcsy
Ruzena Bajcsy University of California, Berkeley
Pierre-Emmanuel Gaillardon
Pierre-Emmanuel Gaillardon University of Utah
Debra K. Moser
Debra K. Moser University of Kentucky
Raffaele Gravina
Raffaele Gravina University of Calabria

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