Kamran Iqbal Data-verified
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Professor and ECE Program Coordinator
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Biography and Research Information
OverviewAI-generated summary
Kamran Iqbal is a Professor and Program Coordinator of Electrical and Computer Engineering at the University of Arkansas at Little Rock. His research interests encompass biomechanics and control of human movement, biomedical signal and image processing, mechatronics, renewable energy, and machine learning. He holds degrees including a BE in Aeronautical Engineering from NED University, and MSEE, MBA, and Ph.D. in Electrical Engineering from The Ohio State University.
Iqbal has authored or co-authored three monographs, ten book chapters, fifty journal papers, and over one hundred peer-reviewed conference publications. His scholarly output includes work on topics such as machine learning applications for industrial automation, seismic response analysis, muscle synergies and adaptation, reinforcement learning for automation, and feedback control systems. He has also contributed to research on lung disease prediction using deep learning.
He is a senior life member of IEEE and a member of IET, ASEE, and Sigma Xi, having previously served as president of the Central Arkansas chapter. Iqbal regularly serves as a program evaluator for the ABET Engineering Accreditation Commission. His work has been recognized with a high-impact researcher designation, and he leads a research group with several collaborators at the University of Arkansas at Little Rock.
Metrics
- h-index: 21
- Publications: 219
- Citations: 2,320
Selected Publications
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Predicting Signs of Problematic Internet Use to Analyze Children’s Health Using Machine Learning (2026)
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Reimagining Peer Review Process Through Multi-Agent Mechanism Design (2026)
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An Integrated Functional Model (IFM) Framework for Glass Door Smart Refrigerator (2025)
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Stochastic algorithm-based estimation of slow and fast processes of sensorimotor adaptation during locomotion* (2025)
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Adaptive Classification Framework for Control of Myoelectric Prostheses During Muscle Fatigue* (2025)
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Gait and Postural Control Deficits in Diabetic Patients with Peripheral Neuropathy Compared to Healthy Controls (2025)
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Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration (2025)
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Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration (2025)
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A Survey of Reinforcement Learning for Optimization in Automation (2024)
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Hill-Type Model (2024)
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Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier (2024)
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A Systematic Approach to Predict Anemia from Eye Conjunctiva Images (2023)
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Data-Driven Identification and Optimal Control of a Biomechanical Triple-Link Inverted Pendulum for Sit-to-Stand Movement (2023)
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Reinforcement learning of LQR control policy by a double inverted-pendulum biomechanical model (2023)
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Editorial: From depth (needle) to surface: electromyography as a diagnostic tool in identifying neuromuscular changes associated with neurological disorders (2023)
Collaboration Network
Top Collaborators
- A Perspective on Muscle Synergies and Different Theories Related to Their Adaptation
- Investigation of Power Specific Motor Primitives in an Upper Limb Rotational Motion
- Editorial: From depth (needle) to surface: electromyography as a diagnostic tool in identifying neuromuscular changes associated with neurological disorders
- Hill-Type Model
- A Perspective on Muscle Synergies and Different Theories Related to Their Adaptation
- Investigation of Power Specific Motor Primitives in an Upper Limb Rotational Motion
- Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier
- Hill-Type Model
- Modeling, Stability Analysis and Simulation of Buck Converter in a DC Microgrid
- Near optimal PI Control of Cascaded Buck Converters in a DC Micro Grid
- Stability Analysis of a DC Microgrid with Constant Power Load
- Hand and Lower Arm Movements Classification Using Deep ANN and sEMG
- Improved Classification Accuracy of Hand Movements Using Softmax Classifier and Kalman Filter
- Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier
- Model-based and Model-free Optimal Control of Biomechanical SIP Model
- Reinforcement learning of LQR control policy by a double inverted-pendulum biomechanical model
- Data-Driven Identification and Optimal Control of a Biomechanical Triple-Link Inverted Pendulum for Sit-to-Stand Movement
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Quantifying the real-world clinical and economic burden of chronic hypoparathyroidism on secondary care in England: A multi-arm, retrospective cohort study
- Quantifying the real-world clinical and economic burden of chronic hypoparathyroidism on secondary care in England: A multi-arm, retrospective cohort study
- Quantifying the real-world clinical and economic burden of chronic hypoparathyroidism on secondary care in England: A multi-arm, retrospective cohort study
- Quantifying the real-world clinical and economic burden of chronic hypoparathyroidism on secondary care in England: A multi-arm, retrospective cohort study
- Quantifying the real-world clinical and economic burden of chronic hypoparathyroidism on secondary care in England: A multi-arm, retrospective cohort study
- Quantifying the real-world clinical and economic burden of chronic hypoparathyroidism on secondary care in England: A multi-arm, retrospective cohort study
- Modeling, Stability Analysis and Simulation of Buck Converter in a DC Microgrid
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