I am a Research Fellow at National Institute of Applied Statistical Research (NIASRA), University of Wollongong, working with Prof. Noel Cressie, Prof. Andrew Zammit Mangion, and Prof. Sumeetpal Singh. My research is mainly focused on the Bayesian implementation of next-generation neural networks, including Fourier Neural Operators. I completed my PhD at King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Ying Sun.
My research interests encompass the development of advanced statistical methods and machine learning techniques. I am particularly focused on applications in predictive modeling and uncertainty quantification, aiming to couple neural networks with traditional statistical methodologies to obtain efficient data driven solutions to real life problems.
Throughout my academic journey, I have developed a strong foundation in both theoretical and applied aspects of statistics and machine learning, and I am passionate about exploring innovative solutions to complex problems in data science.
Recent News:
Al-Kindi Student Award Recognition
I am honored to have received the prestigious Al-Kindi Student Award at KAUST as a Ph.D. student. This annual award, named after the renowned scholar Al-Kindi, celebrates exceptional academic achievements and research impact within the Statistics Program.
Being recognized by this award is a testament to my dedication to advancing statistical research and its applications. The Al-Kindi Award draws inspiration from Al-Kindi’s pioneering contributions, which are foundational to the fields of statistics and cryptography.
I am deeply grateful for the support of my mentors and the vibrant research environment at KAUST, which have been instrumental in this achievement.
To learn more about the Al-Kindi Student Awards, visit the official KAUST page.
Check out my UOW scholar profile
I am honored to have received the prestigious Al-Kindi Student Award at KAUST as a Ph.D. student. This annual award, named after the renowned scholar Al-Kindi, celebrates exceptional academic achievements and research impact within the Statistics Program. Being recognized by this award is a testament to my dedication to advancing statistical research and its applications.
The Al-Kindi Award is inspired by Al-Kindi’s pioneering work, which is considered foundational to the fields of statistics and cryptography. I am grateful for the support of my mentors and the vibrant research environment at KAUST, which have been instrumental in my journey.
To learn more about the Al-Kindi Student Awards, visit the official KAUST page.
Check out my UOW scholar profile
My UOW scholar profile is now available. You can check it out below.
Invitation to Attend PhD Defense!
I am thrilled to extend a cordial invitation to all esteemed members of our network to attend my upcoming Ph.D. defense. After years of dedicated research and scholarly pursuits, I am excited to share the culmination of my work with you. Join me as I present my dissertation, Deep Neural Networks for Large-scale Complex Spatial and Spatio-temporal Processes. This research endeavor involves remedying the limitations of conventional statistical methods for Spatio-temporal phenomena through the application of deep learning techniques. This defense marks a significant milestone in my academic and professional journey, and your support and presence would mean the world to me. Date: 29th May 2024 Time: 9:00 AM - 11:30 AM GMT+3
Your attendance and engagement would not only honor my efforts but also contribute to a stimulating academic discourse. I look forward to sharing insights, exchanging ideas, and celebrating this momentous occasion with each of you.
