Profiles

• Robotics
• Self-Assembly
• Control
• 3D Printing
• Modeling

Anna Talgat is currently a Ph.D. candidate in Applied Mathematics and Computational Sciences at KAUST. She earned her B.S. in Mathematics from Fatih University, Istanbul, with high honors and a full scholarship. Anna continued her studies at KAUST, completing her M.S., focusing on stochastic geometry-based analysis of LEO satellite communication systems. Her early career includes an internship at Cambridge University’s DAMTP and teaching mathematics at Galaxy International School in Kazakhstan. Additionally, she was a Graduate Teaching Assistant at KAUST, supporting academic development and enhancing teaching methodologies.

Anna Talgat's research interests primarily focus on stochastic geometry and its applications in communication systems. Specifically, her work includes the stochastic geometry-based analysis of LEO satellite communication systems, performance analysis and optimization of wireless communications, and enhancing the efficiency and reliability of these networks. Her research aims to advance the understanding and development of satellite communication networks, which are critical for various applications, including IoT (Internet of Things) and secure data transmission in space communications.

Ms. Aseel AlNajjar is a Ph.D candidate in the AppliedPDE group of the Applied Mathematics and Computational Science program (AMCS) of CEMSE division at the King Abdullah University of Science and Technology, Saudi Arabia. She graduated from Taibah University in 2019 with a bachelor's degree in Mathematics and received a Master's degree in Applied Mathematics from KAUST in 2021. During 2018 Ms. AlNajjar was a summer research intern in the AppliedPDE group. 

Aznaur obtained his bachelor's degree in Applied Mathematics and Physics from Moscow Institute of Physics and Technology in 2023. He joined KAUST in 2024 to pursue his MS and PhD degrees.

Deep Learning, Computer Vision, Reinforcement Learning.

Machine learning, training algorithm, optimization

Natural language processing

My undergraduate and graduate education at the University of Waterloo coupled with a variety of internships and a full-time role solidified my interest and background as a multidisciplinary hands-on mechatronics engineer.

I'm interested in finding mechatronic solutions and taking them from problem to a functional proof-of-concept. I developed a dynamic weighing machine during my master's and currently a novel hybrid-flight mode unmanned aerial system as a PhD Candidate.

https://sites.google.com/view/chlwr

Machine Unlearning

Divyanshu is a Ph.D. candidate in the Electrical and Computer Engineering department at KAUST. He received his M.Tech degree in VLSI from the Indian Institute of Technology (IIT) Mandi, India. He has worked as a visiting student at the Innovative Technologies Lab and the Integrated Circuits and System Group at KAUST. 

His research interests include Spintronics devices and circuits, VLSI design for beyond CMOS devices, and Hardware security primitives.