Profiles

Students

Shuai Lu

Shuai Lu research focuses on advancing large-scale simulation of carbon dioxide storage by developing a novel mathematical model and numerical schemes.
Biography

Shuai Lu is a Ph.D. candidate in Computer Science at King Abdullah University of Science and Technology (KAUST), supervised by Professor Gabriel Wittum and working in the Modeling and Simulations Lab. He completed his B.Eng. in Mechanical Engineering from China University of Mining and Technology (CUMT) in 2015. He received his master’s degree in Solid Mechanics at Beihang University in 2018.

Education
Master of Science (M.S.)
Solid Mechanics, Beihang University, China, 2018
Bachelor of Engineering (B.Eng.)
Engineering Mechanics, China University of Mining and Technology, China, 2015

Talha Ariff

Talha is studying the use of novel fibre-optic distributed acoustic sensing (DAS) as a tool to help monitor and control anthropogenic acoustic pollution in marine environments.
Biography

Talha Ariff was awarded his BEng/MEng degree in Biomedical Engineering from City, University of London in 2022, where he focused on optoelectronic devices for use in medical and chemical sensing.
He is now a Ph.D. student in the Photonics Lab at KAUST, researching further applications for optoelectronic sensors in desert agriculture and undersea communication cables.

Research Interests

Marine Ecology & Desert agriculture, Sensors, Photonics & Optoelectronics

Education
Master of Engineering (MEng)
Biomedical Engineering, City, University of London, United Kingdom, 2022

Tingang Liu

Biography

Tingang graduated from University of Electronic Science and Technology of China (UESTC) majoring in electro-magnetic field and wireless technology on 2022.

Research Interests

Tingang focuses on ultrawide bandgap semiconductors, especially AlN and AlGaN epitaxy by MOCVD and device fabrications

Education
Bachelor of Engineering (B.Eng.)
Electrical and Electronics Engineering, University of Electronic Science and Technology of China, China, 2022

Victor Ceballos Inza

Victor Ceballos Inza is a Ph.D. student under the supervision of Prof. Helmut Pottmann at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST).
Education
Master of Science (M.S.)
Digital Entertainment, University of Bath, United Kingdom, 2019
Master of Science (M.S.)
Computer Graphics and Vision and Imaging, University College London (UCL), United Kingdom, 2017
Bachelor of Science (B.S.)
Artificial Intelligence and Mathematics, University of Edinburgh, United Kingdom, 2015

Vijith Varma Kotte

PhD student at the Information System Lab (ISL), in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).
Research Interests
  • MIMO Radar signal processing.
  • Wireless communications..
  • Deep Learning.
Education
Master of Engineering (MEng)
Telecommunications Engineering, I.I.T. Delhi, India, 2018
Bachelor of Engineering (B.Eng.)
Electronics and Communications Engineering, Amrita University, India, 2015

Wenxuan Zhang

Education
Master
Applied Mathematics and Computer Science, University of Pennsylvania, United States, 2021
Bachelor of Science (B.S.)
Mathematics and Applied Mathematics, Beijing Normal University, China, 2019

Xiang Ye

Xiang Ye is a Ph.D. student In Statistics at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Håvard Rue in his research group.
Research Interests

His research interest is mainly in Bayesian and computational Statistics, currently working on Directional Statistics and applications with R-INLA. He is also interested in Deep/Machine Learning algorithms.

Education
Master of Science (M.S.)
Statistics, Lancaster University, United Kingdom, 2022
Bachelor of Science (B.S.)
Applied Mathematics, Xi'an Jiaotong-Liverpool University, China, 2021