About Kalamkas Zhagyparova Kalamkas Zhagyparova Ph.D. Student, Electrical and Computer Engineering Sound Source Localization Transportation mode recognition Locomotion analytics based on mobile network data MS/PhD Student, Electrical and Computer Engineering King Abdullah University of Science and Technology (KAUST), Articles Related News June 2026 Excited to share our work "Harnessing Cellular Network Data for Accurate Transportation Mode Recognition" accepted for publication in IEEE Transactions on Vehicular Technology 1 min read · Wed, Jun 3 2026 News Excited to share that our work "Harnessing Cellular Network Data for Accurate Transportation Mode Recognition" has been accepted by IEEE Transactions on Vehicular Technology, with co-authors Kalamkas Zhagyparova, Nour Kouzayha, Hesham Elsawy, Ahmed Bader, and Tareq Al-Naffouri. 🔥 In this work, we show that transportation modes — bus, car, walk, and train — can be accurately classified using only radio access network (RAN) measurements from cellular infrastructure, without relying on GPS, IMU sensors, or any user-installed apps. 💡 Key Highlights: ⭐ A privacy-preserving, energy-efficient May 2024 Congratulations to our graduates in 2023/'24 1 min read · Wed, May 22 2024 News We at Information Science Lab would like to extend our heartfelt congratulations to the following students who have graduated during the academic year 2023/2024. Ruslan Zhagypar (MSc May 2023) - PhD student at KAUST ISL Xing Liu (PhD May 2023) - Postdoctoral Researcher at the ISL lab, KAUST Kalamkas Zhagyparova (MSc July 2023) - PhD student at KAUST ISL Lama Niyazi (PhD Nov. 2023) - Postdoctoral Researcher at The University of Edinburgh with the prestigious Ibn Rushd scholarship Mohammed Aasim Shaikh (MSc Dec. 2023) - PhD student at Delft University of Technology, Netherlands Reema Alnafisi
Excited to share our work "Harnessing Cellular Network Data for Accurate Transportation Mode Recognition" accepted for publication in IEEE Transactions on Vehicular Technology 1 min read · Wed, Jun 3 2026 News Excited to share that our work "Harnessing Cellular Network Data for Accurate Transportation Mode Recognition" has been accepted by IEEE Transactions on Vehicular Technology, with co-authors Kalamkas Zhagyparova, Nour Kouzayha, Hesham Elsawy, Ahmed Bader, and Tareq Al-Naffouri. 🔥 In this work, we show that transportation modes — bus, car, walk, and train — can be accurately classified using only radio access network (RAN) measurements from cellular infrastructure, without relying on GPS, IMU sensors, or any user-installed apps. 💡 Key Highlights: ⭐ A privacy-preserving, energy-efficient
Congratulations to our graduates in 2023/'24 1 min read · Wed, May 22 2024 News We at Information Science Lab would like to extend our heartfelt congratulations to the following students who have graduated during the academic year 2023/2024. Ruslan Zhagypar (MSc May 2023) - PhD student at KAUST ISL Xing Liu (PhD May 2023) - Postdoctoral Researcher at the ISL lab, KAUST Kalamkas Zhagyparova (MSc July 2023) - PhD student at KAUST ISL Lama Niyazi (PhD Nov. 2023) - Postdoctoral Researcher at The University of Edinburgh with the prestigious Ibn Rushd scholarship Mohammed Aasim Shaikh (MSc Dec. 2023) - PhD student at Delft University of Technology, Netherlands Reema Alnafisi
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