Kamran Iqbal
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor and ECE Program Coordinator
Also affiliated: Northwestern University (1999–2003); Saudi Electronic University (2015); Google (United States) (2006); St Thomas' Hospital (2010–2012); Gomal University (2012–2016); Daiichi Sankyo (Germany) (2014); University of Ioannina (2015); Guy's and St Thomas' NHS Foundation Trust (2009–2012); University of Arkansas System (2004–2019); St Helier Hospital (2016); Beijing University of Technology (2023); Daiichi Sankyo (United Kingdom) (2014); Institute of Dermatology (2009); St. John's School (2009); Irvine University (2014); Takeda (United Kingdom) (2019); Chiesi (United Kingdom) (2025); Arkansas Department of Agriculture (2017); United States Air Force Academy (1993); The Ohio State University (1992–1993); Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (1996–2002); Beijing University of Civil Engineering and Architecture (2023); Air University (1993–1994); Maulana Abul Kalam Azad University of Technology, West Bengal (2022)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Kamran Iqbal's research interests encompass biomechanics and control of human movement, biomedical signal and image processing, mechatronics, renewable energy, and machine learning. He has co-authored three monographs, ten book chapters, fifty journal papers, and over one hundred peer-reviewed conference publications. His work has been cited 2,357 times, contributing to an h-index of 22.
Iqbal is a Professor and Program Coordinator of Electrical and Computer Engineering at the University of Arkansas at Little Rock. He holds BE, MSEE, MBA, and Ph.D. degrees. He is a senior life member of IEEE and a member of IET, ASEE, and Sigma Xi, where he previously served as president of the Central Arkansas chapter. He also regularly serves as a program evaluator for ABET accreditation.
His recent publications include reviews on machine learning applications for industrial automation with digital twins and edge AI, as well as research on seismic response of tunnels, muscle synergies and adaptation, reinforcement learning for automation, feedback control systems, and lung disease prediction using deep learning.
Metrics
- h-index: 22
- Publications: 218
- Citations: 2,381
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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Online Estimation of Manipulator Dynamics for Computed Torque Control of Robotic Systems (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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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)
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
- Stochastic algorithm-based estimation of slow and fast processes of sensorimotor adaptation during locomotion*
- 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
- Gait and Postural Control Deficits in Diabetic Patients with Peripheral Neuropathy Compared to Healthy Controls
- An Integrated Functional Model (IFM) Framework for Glass Door Smart Refrigerator
- Modeling, Stability Analysis and Simulation of Buck Converter in a DC Microgrid
- Investigation of Power Specific Motor Primitives in an Upper Limb Rotational Motion
- A Perspective on Muscle Synergies and Different Theories Related to Their Adaptation
- Fuzzy Multicriteria Optimization for System Engineer’s Design of Myoelectric Prostheses
- Characterization of Muscle Fatigue in Diabetic Patients with Peripheral Neuropathy
- Editorial: From depth (needle) to surface: electromyography as a diagnostic tool in identifying neuromuscular changes associated with neurological disorders
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