Zubair Khalid

Zubair Khalid is a Professor of Electrical Engineering at Lahore University of Management Sciences, where he is a co-director of Smart Data, Systems and Applications Lab and Center for Urban Informatics, Technology (CITY). From 2023 to 2024, he worked as a Visiting Professor in the Statistics Program, The Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division at King Abdullah University of Science and Technology (KAUST). From 2013 to 2015, he was a Research Fellow at the College of Engineering and Computer Science (CECS), The Australian National University (ANU).
Prof. Khalid is a visionary leader in artificial intelligence, machine learning, computer vision, systems engineering, and technology policy. With over 15 years of experience, he has a strong background in mathematical and engineering disciplines. He is known for pioneering data-driven solutions in climate modeling, sustainable urban development, and Industry 4.0. His interdisciplinary research bridges the gap between academia and industry, focusing on AI and machine learning, advanced signal processing, and information theory. He is also an expert in spherical signal processing. He has developed numerous novel algorithms related to sampling and signal analysis on the sphere, contributing significantly to this specialized area.
==Education==
Zubair Khalid earned his Bachelor's in Electrical Engineering from University of Engineering and Technology, Lahore, in 2008 and his Ph.D. in Engineering from The Australian National University in 2013.
==Academic career==
Zubair Khalid has a distinguished academic career characterized by significant contributions to artificial intelligence, machine learning, and signal processing. As a professor at Lahore University of Management Sciences (LUMS), and with experience at The Australian National University (ANU) and King Abdullah University of Science and Technology (KAUST), he has been a pivotal figure in integrating advanced signal processing, machine learning, and computational techniques with practical applications. His research encompasses various domains, notably spherical signal processing, where he has developed innovative algorithms for sampling and signal analysis on the sphere. This work has substantially improved the accuracy and efficiency of data processing in fields such as climate modeling and geospatial analysis. Prof. Khalid's extensive publication record, boasting over 85 papers in reputable journals and conferences, underscores his deep engagement with the academic community. His research frequently bridges the gap between theoretical concepts and practical applications, particularly within the contexts of Industry 4.0 and sustainable urban development, where he has pioneered data-driven solutions leveraging machine learning and AI to tackle complex challenges.
In addition to his research, Prof. Khalid is deeply committed to education and mentorship, significantly influencing the development of the next generation of engineers and researchers. He has designed and taught a wide array of courses on artificial intelligence, machine learning, signal processing, and systems engineering. His teaching philosophy emphasizes the integration of theoretical knowledge with practical skills, equipping students for both academic research and industry careers. Known for his dynamic and engaging teaching style, he encourages critical thinking and problem-solving abilities among his students. He has supervised nine Ph.D. students, guiding them in pioneering research that advances academic literature and practical technology. Prof. Khalid has been widely recognized at LUMS for his dedication to student learning and his innovative approaches to teaching multidisciplinary topics in electrical engineering. His contributions to teaching excellence were honored with the Vice Chancellor’s Award for Teaching Excellence in 2021.
He has also served on the editorial board of IEEE Signal Processing Letters as an Associate Editor from 2020 to 2023.
==Awards==
* 2024 Finalist Gordon Bell Prize in Climate Modelling by the Association for Computing Machinery (ACM)
* 2021 Vice Chancellor’s Award for Teaching Excellence
* 2010-2013 Endeavour Postgraduate Fellowship
* 2008 Gold Medal from Siemens
* 2008 Gold Medal from NESPAK
* 2008 University Gold Medal from University of Engineering and Technology, Lahore
* 2008 Department Gold Medal from University of Engineering and Technology, Lahore
==Entrepreneurship==
* He is a co-founder of Vending Central - Providing AI-driven and IoT enabled Smart Vending Machines and Solutions.
Category:1984 births
Category:Electrical engineers
Category:Pakistani people
Category:Australian people