University of Glasgow | United Kingdom
Author Profile
👩🔬 Summary
Dr. Jaspreet Kaur is a wireless communications specialist with deep expertise in adaptive beamforming, MIMO, and SDR-based solutions, particularly in dynamic environments such as transportation systems and robotic integration. Her work bridges academic research and real-world applications, focusing on intelligent RAN architectures, AI/ML-based localization, and next-generation wireless systems. Known for her leadership in research and technical innovation, she has contributed significantly to developing secure, low-latency, and energy-efficient communication frameworks.
🎓 Education
Dr. Kaur holds a Ph.D. in Electrical and Electronics Engineering from the University of Glasgow, jointly awarded through EIT Digital and Telefonica (2020–2024), where she developed AI-based beamforming and real-time optimization systems for transport networks. She earned her M.Sc. from Ankara Yildirim Beyazit University, Turkey (2017–2019), focusing on microfluidic device design, and holds a B.Tech. in Electronics and Communication Engineering from Shiv Shankar Institute of Engineering and Technology, India (2007–2011).
💼 Professional Experience
Currently, Dr. Kaur is a Postdoctoral Researcher at the University of Glasgow (May 2024–Present), leading the development of an SDR-based 4G LTE testbed integrated with robotic systems using O-RAN interfaces. She also serves as a Technical Advisor and Research Writer for Xecurity Pulse, USA (Apr 2025–Present), contributing to 5G/6G network security, UPF validation, and AI-driven compliance testing. She previously worked at University College London (May–Aug 2024) on the commercialization of O-RAN technologies. Earlier roles include Graduate Teaching Assistant at the University of Glasgow (2021–2024), Tutor in Nanotechnology at AYBU (2018–2019), IELTS Trainer at Webberz Educomp Ltd. (2015–2016), and Research Assistant at CSIR-CEERI (2011–2014), where she developed space-grade microwave devices and MEMS-based sensors.
📚 Academic Citations
Dr. Kaur has published extensively in top-tier IEEE journals and conferences. Her academic work has received 121 citations and earned an H-index of 7, reflecting significant impact in beamforming, wireless localization, and SDR research.
🛠️ Technical Skills
She possesses expertise in MIMO, adaptive beamforming, 5G/6G networks, and O-RAN architecture. Her technical toolkit includes USRP, GNU Radio, Python, MATLAB, C/C++, TensorFlow, and Scikit-learn. She is also skilled in RF design, embedded systems, edge computing, real-time optimization, and digital twin development.
👩🏫 Teaching Experience
As a Graduate Teaching Assistant at the University of Glasgow, Dr. Kaur taught and supported over a dozen courses, including Real-Time Computing, Autonomous Vehicle Systems, Microwave Design, and Mathematics. She also supervised multiple undergraduate and postgraduate research projects, focusing on hardware-software integration and control systems. Earlier, she served as a Tutor in Nanotechnology and an IELTS trainer, receiving recognition for teaching excellence.
🔬 Research Interests
Her interests include adaptive and predictive beamforming, SDR-based localization, AI integration in wireless systems, intelligent RANs, and digital twin-based optimization. She is passionate about creating low-latency, resilient, and scalable solutions for next-generation communication networks.
Publications
Title: A novel geometry multi-stage depressed collector for the efficiency enhancement of space traveling wave tubes
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Authors: AM Latha, V Gahlaut, J Kaur, D Bharti, V Srivastava, RK Sharma, …
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Journal: Journal of Infrared, Millimeter, and Terahertz Waves
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Year: 2013
Title: Machine learning enabled food contamination detection using RFID and Internet of Things system
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Authors: A Sharif, QH Abbasi, K Arshad, S Ansari, MZ Ali, J Kaur, HT Abbas, …
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Journal: Journal of Sensor and Actuator Networks
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Year: 2021
Title: On‐chip label‐free impedance‐based detection of antibiotic permeation
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Authors: J Kaur, H Ghorbanpoor, Y Öztürk, Ö Kaygusuz, H Avcı, C Darcan, …
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Journal: IET Nanobiotechnology
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Year: 2021
Title: AI-enabled CSI fingerprinting for indoor localisation towards context-aware networking in 6G
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Authors: J Kaur, M Shawky, MS Mollel, OR Popoola, MA Imran, QH Abbasi, …
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Journal: 2023 IEEE Wireless Communications and Networking Conference (WCNC)
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Year: 2023
Title: Contextual beamforming: Exploiting location and AI for enhanced wireless telecommunication performance
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Authors: J Kaur, S Bhatti, K Tan, OR Popoola, MA Imran, R Ghannam, QH Abbasi, …
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Journal: APL Machine Learning
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Year: 2024