Ibrahim A. Hameed

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Professor

Norwegian University of Science and Technology

Norway

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About

Professor Ibrahim A. Hameed is a faculty member at the Norwegian University of Science and Technology, Norway. His research areas encompass efficient sensor technologies, precision measurement in metallurgical environments, and advanced visual inspection methods. He has also contributed to the development of innovative solutions for electric vehicle charging and environmental monitoring through unmanned vehicles. His recent publications reflect a strong focus on data-driven methodologies and smart technologies in various industrial applications.

Recent Grants

Grant: Close

RARP - Robotech Auto Route Planning

Open Date: 2015-05-01

Close Date: 2015-07-01

Grant: Close

Durable Interaction with Socially Intelligent Robots (iSocioBot)

Open Date: 2014-09-01

Close Date: 2015-08-01

Grant: Close

ASETA

Open Date: 2009-01-01

Close Date: 2014-01-01

Articles (20)

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2023

Collaborators (17)

Faisal Jamil

Lecturer

University of Huddersfield

UNITED KINGDOM

Ibrahim A. Hameed

Research Interests

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About

Recent Grants

Articles (20)

Use of optical sensors and artificial neural networks for precision measurement and fault detection in metallurgical environments

Anomaly-Focused Augmentation Method for Industrial Visual Inspection

Efficient Soil Temperature Profile Estimation for Thermoelectric Powered Sensors

Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP

GMDCSA-24: A dataset for human fall detection in videos

Dynamic Wireless Charging of Electric Vehicles Using PV Units in Highways

A coverage path planning approach for environmental monitoring using an unmanned surface vehicle

Curvature Sensing and Control of Soft Continuum Robots Using e-Textile Sensors

Evolution-based energy-efficient data collection system for UAV-supported IoT: Differential evolution with population size optimization mechanism

An efficient and lightweight multiperson activity recognition framework for robot-assisted healthcare applications

Toward intelligent open-ended questions evaluation based on predictive optimization

An Interactive Multi-Criteria Decision-Making Approach for Autonomous Vehicles and Distributed Resources Based on Logistic Systems: Challenges for a Sustainable Future

Towards Efficient and Trustworthy Pandemic Diagnosis in Smart Cities: A Blockchain-Based Federated Learning Approach

Bifurcation Analysis, Synchronization and FPGA Implementation of a New 3-D Jerk System with a Stable Equilibrium

Enhancing Photovoltaic Efficiency with the Optimized Steepest Gradient Method and Serial Multi-Cellular Converters

Virtual Sensors for Nonlinear Discrete-Time Dynamic Systems

Design and Stability Analysis of Sliding Mode Controller for Non-Holonomic Differential Drive Mobile Robots

Leveraging deep learning and big data to enhance computing curriculum for industry-relevant skills: A Norwegian case study

A New Nonlinear Dynamic Speed Controller for a Differential Drive Mobile Robot

Efficient Trajectory Clustering with Road Network Constraints Based on Spatiotemporal Buffering

Collaborators (17)

Faisal Jamil

Jiri Koziorek

Ibrahim Alrashdi

Guandong Xu

Ibrahim M. Hezam

Ahmad Taher Azar

Jaromir Konecny

Muhammad Cheema

Melvin Lara

Imran Razzak

Petr Beremlijski

Abdel-Haleem Abdel-Aty

Anniken Karlsen

Mohamed Reda Bouadjenek

Amin Beheshti

Karam M. Sallam

Jiri Konecny

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