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Computer Science

D-Index
38
Citations
7126
World Ranking
10137
National Ranking
4272

Overview

Hamid R. Arabnia is affiliated with the University of Georgia in the United States. Their main field of study is Computer Science, with a focus on various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Marketing, and Information Systems.

Their research covers a range of topics, notably Customer Churn and Segmentation, Multimodal Machine Learning Applications, COVID-19 Diagnosis Using AI, Domain Adaptation and Few-Shot Learning, IoT and Edge/Fog Computing, Human Pose and Action Recognition, and Speech Recognition and Synthesis.

Frequent coauthors in their work include Khaled Rasheed, Mehdi Imani, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, and Thiab R. Taha.

Arabnia's publishing record shows repeated contributions to several venues, with a strong presence in arXiv (Cornell University), Preprints.org, International Journal of Communication Systems, Technologies, and the 2021 International Conference on Computational Science and Computational Intelligence (CSCI).

Recent papers authored or coauthored by Arabnia include:

  • A Brief Review of Domain Adaptation, 2021, Transactions on Computational Science and Computational Intelligence
  • A Review of Deep Transfer Learning and Recent Advancements, 2023, Technologies
  • Improving Cyberbullying Detection Using Twitter Users' Psychological Features and Machine Learning, 2020, Computers & Security
  • Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap, 2020, IEEE Access
  • Comprehensive Analysis of Random Forest and XGBoost Performance with SMOTE, ADASYN, and GNUS Under Varying Imbalance Levels, 2025, Technologies

Arabnia has published multiple books with publishers such as Springer International Publishing and Springer Science+Business Media. Notable book titles include Principles of Data Science (2020), Advances in Artificial Intelligence and Applied Cognitive Computing (2021), Advances in Security, Networks, and Internet of Things (2021), Advances in Computer Vision and Computational Biology (2021), Advances in Parallel & Distributed Processing, and Applications (2021), Advances in Software Engineering, Education, and e-Learning (2021), and Parallel and Distributed Computing, Applications and Technologies (2022).

Best Publications

  • A Survey of Face Recognition Techniques

    Rabia Jafri;Hamid R. Arabnia

  • A Review of Deep Transfer Learning and Recent Advancements

    Unknown

  • A Brief Review of Domain Adaptation

    Abolfazl Farahani;Sahar Voghoei;Khaled Rasheed;Hamid R. Arabnia

  • A comprehensive investigation and comparison of Machine Learning Techniques in the domain of heart disease

    Seyedamin Pouriyeh;Sara Vahid;Giovanna Sannino;Giuseppe De Pietro

  • Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study.

    Mohammad Nasajpour;Seyedamin Pouriyeh;Reza M. Parizi;Mohsen Dorodchi

  • Improving cyberbullying detection using Twitter users’ psychological features and machine learning

    Vimala Balakrishnan;Shahzaib Khan;Hamid R. Arabnia

  • Cyberbullying detection on twitter using Big Five and Dark Triad features

    Vimala Balakrishnan;Shahzaib Khan;Terence Fernandez;Hamid R. Arabnia

  • Apple classification based on surface bruises using image processing and neural networks

    M. A. Shahin;E. W. Tollner;R. W. McClendon;H. R. Arabnia

  • Computer vision-based object recognition for the visually impaired in an indoors environment: a survey

    Rabia Jafri;Syed Abid Ali;Hamid R. Arabnia;Shameem Fatima

  • Parallel Edge-Region-Based Segmentation Algorithm Targeted at Reconfigurable MultiRing Network

    M. Arif Wani;Hamid R. Arabnia

  • A Time-Area-Power Efficient Multiplier and Square Architecture Based on Ancient Indian Vedic Mathematics.

    Himanshu Thapliyal;Hamid R. Arabnia

  • Software Tools and Algorithms for Biological Systems

    Hamid R. Arabnia;Quoc-Nam Tran

  • 2K09 and thereafter : the coming era of integrative bioinformatics, systems biology and intelligent computing for functional genomics and personalized medicine research

    Jack Y. Yang;Jack Y. Yang;Jack Y. Yang;Andrzej Niemierko;Ruzena Bajcsy;Dong Xu

  • The REFINE multiprocessor—theoretical properties and algorithms

    Suchendra M. Bhandarkar;Hamid R. Arabnia

  • The Hough transform on a reconfigurable multi-ring network

    Suchendra M. Bhandarkar;Hamid R. Arabnia

  • Parallel stereocorrelation on a reconfigurable multi-ring network

    Hamid R. Arabnia;Suchendra M. Bhandarkar

  • A parallel algorithm for the arbitrary rotation of digitized images using process-and-data-decomposition approach

    Hamid R. Arabnia

  • Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap

    Soheyla Amirian;Khaled Rasheed;Thiab R. Taha;Hamid R. Arabnia

  • Visual and Infrared Sensor Data-Based Obstacle Detection for the Visually Impaired Using the Google Project Tango Tablet Development Kit and the Unity Engine

    Rabia Jafri;Rodrigo Louzada Campos;Syed Abid Ali;Hamid R. Arabnia

  • Application of Big Data for National Security: A Practitioner’s Guide to Emerging Technologies

    Babak Akhgar;Gregory B. Saathoff;Hamid R. Arabnia;Richard Hill

  • Identification of genes and pathways involved in kidney renal clear cell carcinoma

    William Yang;Kenji Yoshigoe;Xiang Qin;Jun S Liu

  • Proceedings of the 2010 International Conference on Data Mining

    Robert Stahlbock;Sven F. Crone;Mahmoud Abou-Nasr;Hamid R. Arabnia

  • 2K09 and thereafter : the coming era of integrative bioinformatics, systems biology and intelligent computing for functional genomics and personalized medicine research

    Jack Y. Yang;Andrzej Niemierko;Ruzena Bajcsy;Dong Xu

Frequent Co-Authors

Himanshu Thapliyal
Himanshu Thapliyal University of Tennessee at Knoxville
Kuan-Ching Li
Kuan-Ching Li Providence University
Dong Xu
Dong Xu University of Missouri
A. Keith Dunker
A. Keith Dunker Indiana University
Jun S. Liu
Jun S. Liu Harvard University
Weida Tong
Weida Tong National Center for Toxicological Research
Xiang Qin
Xiang Qin Baylor College of Medicine
Yunlong Liu
Yunlong Liu Indiana University
Layne T. Watson
Layne T. Watson Virginia Tech
Jong Hyuk Park
Jong Hyuk Park Seoul National University of Science and Technology

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