Hari Mohan Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor Research
Arkansas Tech University
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Biography and Research Information
OverviewAI-generated summary
Dr. Hari Mohan Rai's research focuses on the application of deep learning and machine learning techniques for medical image analysis and disease detection. His work includes developing hybrid models, such as CNN-LSTM and UnetResNext-50, to analyze complex datasets like ECG signals and MRI scans. He has investigated the prediction of cardiac abnormalities from imbalanced ECG data and the detection of brain tumors using novel deep CNN architectures.
His scholarly contributions include over 30 research papers, with 15 published in SCI journals. He holds an h-index of 19 and has accumulated over 1,592 citations from his 125 publications. Dr. Rai has also been actively involved in organizing international conferences and has served as a session chair and co-chair.
Dr. Rai's academic background includes a Ph.D. from the Indian Institute of Technology (Indian School of Mines), Dhanbad, India. He has held research and teaching positions at Gachon University in South Korea, the International IT University in Kazakhstan, and various institutions in India, including Krishna Engineering College and Dronacharya College of Engineering.
Metrics
- h-index: 19
- Publications: 125
- Citations: 1,592
Selected Publications
- ViT-DCNN: Vision Transformer with Deformable CNN Model for Lung and Colon Cancer Detection (2025) DOI
- Vehicle tracking and classification for intelligent transportation systems using YOLOv5 and modified deep SORT with HRNN (2025) DOI
- Computational Intelligence Transforming Healthcare 4.0: Innovations in Medical Image Analysis through AI and IoT Integration (2025) DOI
- Deep Learning for Leukemia Classification: Performance Analysis and Challenges Across Multiple Architectures (2025) DOI
- Advanced AI-Powered Intrusion Detection Systems in Cybersecurity Protocols for Network Protection (2025) DOI
- Shaping the Future with Quantum Computing: An Exploration of its Emerging Field and Revolutionary Potential (2025) DOI
- Optimizing Financial Planning Through Advanced Machine Learning Techniques (2025) DOI
- SwinConvNeXt: a fused deep learning architecture for Real-time garbage image classification (2025) DOI
- LightweightUNet: Multimodal Deep Learning with GAN-Augmented Imaging Data for Efficient Breast Cancer Detection (2025) DOI
- Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques (2025) DOI
- The Improved Network Intrusion Detection Techniques Using the Feature Engineering Approach with Boosting Classifiers (2024) DOI
- Transformative impacts of AI and the IoT on healthcare delivery (2024) DOI
- Advanced Segmentation of Gastrointestinal (GI) Cancer Disease Using a Novel U-MaskNet Model (2024) DOI
- Advanced Noise-Resistant Electrocardiography Classification Using Hybrid Wavelet-Median Denoising and a Convolutional Neural Network (2024) DOI
- Analysis of Behavior in Chat Applications using Natural Language Processing (2024) DOI
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