Waqar Shahid Qureshi

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Lecturer

University of Galway

Ireland

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About

Waqar Shahid Qureshi is a Lecturer at the University of Galway, Ireland. His research interests include computer vision applications in agriculture, AI-driven healthcare diagnostics, and development of adaptive frameworks for robotic systems. Recent publications highlight his work on topics such as optimization in knee prosthetics, forest fire detection using advanced imaging techniques, and crop classification using deep learning methods.

Recent Grants

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Pav-Analytics is an intelligent sensing system for cost-effective data collection and analysis using advanced sensors mounted on a mobile units on greenways and cycleways to rate pavement conditions

Open Date: 2023-06-01

Close Date: 2024-12-01

Grant: Close

Automated pavement classification deep learning approach

Open Date: 2021-10-01

Close Date: 2023-10-01

Grant: Close

Smart Phone Based on-Tree Mango Fruit Quality and Quality Estimation using Near Infrared Spectroscopy and Machine Vision

Open Date: 2018-07-01

Close Date: 2021-06-01

Grant: Close

Low cost precision agriculture services using high resolution multi-spectral imaging and mapping software

Open Date: 2018-07-01

Close Date: 2021-07-01

Grant: Close

Establishment of Robot Design and Development Lab agri domain

Open Date: 2018-06-01

Close Date: 2021-10-01

Articles (18)

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2026

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (2)

Ihsan Ullah

Lecturer Above the Bar / Assistant Professor

University of Galway

IRELAND

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Dympna O'Sullivan

Technological University Dublin

IRELAND

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Waqar Shahid Qureshi

Research Interests

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About

Recent Grants

Articles (18)

Bio-inspired auto-adaptive framework for optimized movement of passive knee prosthesis

Lightweight distilled transformer-based vision framework for detection of forest fire and smoke in real-world scenes

An Insight on the Timely Diagnosis of Diabetic Retinopathy Using Traditional and AI-Driven Approaches

A comprehensive deep learning approach for harvest ready sugarcane pixel classification in Punjab, Pakistan using Sentinel-2 multispectral imagery

Computer vision in smart agriculture and precision farming

Aerial imagery-based tobacco plant counting framework for efficient crop emergence estimation

A connective framework to minimize the anxiety of collaborative Cyber-Physical System

A W-shaped convolutional network for robust crop and weed classification in agriculture

Towards automated weed detection through two-stage semantic segmentation of tobacco and weed pixels in aerial Imagery

New FxLMAT-Based Algorithms for Active Control of Impulsive Noise

Deep learning framework for intelligent pavement condition rating: A direct classification approach for regional and local roads

Towards sweetness classification of orange cultivars using short-wave NIR spectroscopy

3D Printable Thermoplastic Polyurethane Energy Efficient Passive Foot

Single Image 3D Beard Face Reconstruction Approaches

An Exploration of Recent Intelligent Image Analysis Techniques for Visual Pavement Surface Condition Assessment

A new method for pixel classification for rice variety identification using spectral and time series data from Sentinel-2 satellite imagery

Analysis of Human Gait Cycle With Body Equilibrium Based on Leg Orientation

A Patch-Image Based Classification Approach for Detection of Weeds in Sugar Beet Crop

Collaborators (2)

Ihsan Ullah

Dympna O'Sullivan

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