Kamran Iqbal Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Professor and ECE Program Coordinator

University of Arkansas at Little Rock

faculty

21 h-index 221 pubs 2,270 cited

Research Areas

Muscle Physiology and Disorders Advanced Neural Network Applications Medical Imaging Techniques and Applications Reinforcement Learning in Robotics Biomedical Signal Processing Engineering Education and Pedagogy Renewable Energy Systems Machine Learning Applications

Links

ORCID Research Group

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OverviewAI-generated summary

Kamran Iqbal is a Professor and Program Coordinator in Electrical and Computer Engineering at the University of Arkansas at Little Rock. His research interests encompass biomechanics and the control of human movement, with a focus on analyzing muscle synergies and motor primitives in upper limb rotational motion. He also investigates biomedical signal and image processing, including applications of deep learning for disease prediction, such as lung disease.

Dr. Iqbal's work extends to mechatronics, renewable energy, and machine learning. He has co-authored research on feedback control systems, reinforcement learning for optimization in automation, and the integration of machine learning with digital twin and edge AI for industrial automation. His scholarly contributions include three monographs, ten book chapters, fifty journal papers, and over one hundred peer-reviewed conference publications. He holds a senior life membership in IEEE and is a member of IET, ASEE, and Sigma Xi.

Metrics

  • h-index: 21
  • Publications: 221
  • Citations: 2,270

Selected Publications

  • Gait and Postural Control Deficits in Diabetic Patients with Peripheral Neuropathy Compared to Healthy Controls (2025) DOI
  • Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration (2025) DOI
  • Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration (2025) DOI
  • A Survey of Reinforcement Learning for Optimization in Automation (2024) DOI
  • Hill-Type Model (2024) DOI
  • Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier (2024) DOI
  • A Systematic Approach to Predict Anemia from Eye Conjunctiva Images (2023) DOI
  • Data-Driven Identification and Optimal Control of a Biomechanical Triple-Link Inverted Pendulum for Sit-to-Stand Movement (2023) DOI
  • Reinforcement learning of LQR control policy by a double inverted-pendulum biomechanical model (2023) DOI
  • Editorial: From depth (needle) to surface: electromyography as a diagnostic tool in identifying neuromuscular changes associated with neurological disorders (2023) DOI
  • Model-based and Model-free Optimal Control of Biomechanical SIP Model (2022) DOI
  • Near optimal PI Control of Cascaded Buck Converters in a DC Micro Grid (2022) DOI
  • Improved Classification Accuracy of Hand Movements Using Softmax Classifier and Kalman Filter (2022) DOI
  • Characterization of Muscle Fatigue in Diabetic Patients with Peripheral Neuropathy (2022) DOI
  • Stability Analysis of a DC Microgrid with Constant Power Load (2022) DOI

Collaborators

Researchers in the database who share publications

Abdullah Y. Al-Maliki University of Arkansas at Little Rock 3 shared publications Ali A. Abushaiba University of Arkansas at Little Rock 2 shared publications Mohammad Rahman University of Arkansas at Little Rock 2 shared publications Md Farhan Shahrior University of Arkansas at Little Rock 2 shared publications Roy McCann University of Arkansas at Fayetteville 1 shared publication Mojtaba Ahanch University of Arkansas at Fayetteville 1 shared publication Daniel R. Jagessar University of Arkansas at Fayetteville 1 shared publication Nahiyan Bin Noor University of Arkansas for Medical Sciences 1 shared publication

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