Karim Saifullin is a PhD student at the CLT group at KAUST, focusing on research in Joint Radar and Sensing, Wireless Communications, and the application of Quantum Computing to radar and signal processing. He obtained his specialist degree from BMSTU and has accrued approximately 3.5 years of experience in diverse organizations within the field of wireless communications. In addition to his research, he serves as a teacher and teaching assistant across multiple courses.
Biography
Karim is a graduate from Bauman Moscow State Technical University. He received a specialist degree in a field of electrical engineering (2014 – 2020), with a focus on radars and wireless communications. He worked at part-time job as embedded systems and DSP engineer for 2.5 years. After that he had internship in summer of 2019 at Huawei Russian Research Institute (RRI) and after graduating from university, he worked at Huawei RRI for 1 year. During his job he improved receiver’s sensitivity applying some convex and non-convex optimization approaches and provide some dimensionality reduction approaches for system identification.
Nowadays Karim works in topics related to Joint Sensing And Communication (JSAC), quantum computing and communications over unlicensed spectrum.
Research Interests
Adaptive algorithms in wireless communications, Radar signal processing and machine learning. Quantum computing.
Awards and Distinctions
- Second place in nomination “Radio Interception” , all-Russian competition of modern radio systems, 2019
- Research on dimensionality reduction techniques, HiSilicon, 2021
- Second place at ITU AI challenge. Topic “Behavioral modelling of power amplifier” , ITU AI, 2022
Qualifications
Education
- Specialization diploma
- Electronics & Electrical Engineering, Bauman Moscow State Technical University, Russian Federation, 2020
- Master of Science (M.S.)
- Electrical and Computer Engineering, King Abdullah University of Science and Technology, Saudi Arabia, 2023
- Russian
- Native or bilingual proficiency
- English
- Full professional proficiency
- Arabic
- Limited working proficiency
Languages
Quote
During my work I found that solid math background and research experience lead to significant boost and success in job. So I decided to strengthen my background at KAUST. Communications is the foundation of modern society and infinite source of challenging tasks.
Related People
Academic Advisors
Mohamed-Slim Alouini
- Al-Khawarzmi Distinguished Professor, Electrical and Computer Engineering
