Mr. Muhammad Uzair | Communication Awards | Excellence in Innovation 

Mr. Muhammad Uzair, University of Peshawar, Pakistan

Muhammad Uzair. He is an accomplished Electronics Engineer with extensive experience in designing and implementing innovative electronic systems for agricultural advancement. Currently serving at the Agriculture Research Center in Tarnab, Peshawar, he has significantly contributed to precision farming, remote sensing, and data acquisition. His work includes developing sensor networks for monitoring soil conditions, optimizing irrigation strategies, and creating electronic solutions for pest detection, promoting sustainable and efficient farming practices. Muhammad Uzair holds an MS in Electronics Engineering (Control Systems) from the International Islamic University, Islamabad, with a thesis on observer-based fault diagnosis for unmanned aerial vehicles, and a BS in Electronics from the University of Peshawar, where he developed an Arduino-based automated car parking system using RFID. Fluent in Urdu, English, and Pushto, he possesses expertise in Python, MATLAB, AI, machine learning, and deep learning. His commitment to research, evident from his contributions to hyperspectral imaging, food security, and agricultural technologies, reflects his innovative approach to solving real-world challenges.

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Summary of Suitability for the Research for Excellence in Innovation Award

 Muhammad Uzair demonstrates a robust background in innovation and research, making him a strong candidate for the Research for Excellence in Innovation award. As an Electronics Engineer at the Agriculture Research Center Tarnab, his contributions to precision farming, remote sensing, and sensor network development showcase a direct impact on advancing sustainable agriculture. These innovations align with the award’s focus on promoting cutting-edge technological solutions.

🎓 Academic Background

🎓 MS in Electronics Engineering (2015–2018)

• Institution: International Islamic University, Islamabad
• Specialization: Control Systems
• Thesis: Observer-Based Fault Diagnosis for Unmanned Aerial Vehicles 🛩️
• Grade: 3.50

🎓 BS in Electronics (2010–2014)

• Institution: University of Peshawar
• Thesis: Arduino-Based Automatic and Secure Car Parking System Using RFID 🚗
• Grade: 3.0

💼 Professional Experience

🔧 Electronics Engineer (2018–Present)
📍 Agriculture Research Center, Tarnab, Peshawar, Pakistan

• Designed and implemented electronic systems for precision farming 🌾.
• Developed sensor networks for monitoring soil conditions and optimizing irrigation 💧.
• Created innovative solutions for pest detection and sustainable farming 🐛.

👨‍🏫 Primary School Teacher (2015)
📍 Government Primary School No. 1, Pirpiai, Nowshera

• Delivered quality education and inspired young minds 🌟.
• Implemented modern teaching methods to create a conducive learning environment 📚.

🛠️ Technical Skills

• Programming: Python 🐍, MATLAB, AI 🤖, Deep Learning.
• Software Tools: Microsoft Office Suite (Word, Excel, PowerPoint, Access) 💻.
• Proficient in Machine Learning and advanced control systems.

📜 Key Achievements

• 🛠️ Contributed to advancing sustainable agriculture through technology at Tarnab.
• 📊 Published research in cutting-edge areas such as fault diagnosis for UAVs and RFID-based systems.

Publication Top Notes

Hyperspectral face recognition with spatiospectral information fusion and PLS regression

CITED:188

Internal emotion classification using EEG signal with sparse discriminative ensemble

CITED:139

Uncovering the research gaps to alleviate the negative impacts of climate change on food security: a review

CITED:138

Hyperspectral document image processing: Applications, challenges and future prospects

CITED:127

Hyperspectral Face Recognition using 3D-DCT and Partial Least Squares.

CITED:105