About
I am a Postdoctoral Researcher in Computer Science at Örebro University, Sweden, supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) and affiliated with the AI, Robotics and Cybersecurity Center (ARC). My current research focuses on cybersecurity for embodied AI systems and autonomous sensor-driven platforms.
Previously, I was a Postdoctoral Researcher at the DSP Laboratory, DITEN, University of Genoa, Italy, where I worked on human postural stability assessment using wearable IMU sensors and explainable deep learning models, within the PNRR-funded RAISE project. Prior to that, I contributed to the EU Horizon 2020 and Horizon Europe projects 5G-INDUCE and 6GREEN at CNIT, University of Genoa, focusing on secure 5G edge-cloud architectures and network function virtualization.
I earned my Ph.D. in Telecommunications from the COSMIC Lab, University of Genoa, specializing in IoT cybersecurity, particularly LoRaWAN protocol vulnerabilities and lightweight cryptographic key-management frameworks. My doctoral work included a research visit to KTH Royal Institute of Technology, Stockholm, Sweden.
My research interests span cybersecurity for embodied AI, IoT security, lightweight cryptography, 5G and 6G communication systems, wearable sensing, machine and deep learning for sensor data analysis, and eHealth applications. I actively serve as a reviewer for several IEEE and Elsevier journals and engage in interdisciplinary collaborations integrating AI, signal processing, and communication technologies.
By the Numbers
Global Footprint
SwedenÖrebro University ·
KTH Royal Institute of Technology
ItalyUniversity of Genoa ·
CNIT
PakistanQuaid-i-Azam
University · University of Peshawar · Abdul Wali Khan University
SpainUniversity of
Valladolid
PortugalInstituto de
Telecomunicações
MoroccoSultan Moulay Slimane
University
SerbiaIEEE ZINC Conference —
Best Paper Award
JapanIEEE IWCMC 2019
United
KingdomIEEE ICC 2026, Glasgow
United
Arab EmiratesIEEE Healthcom 2025, Abu Dhabi
Research Interests
- Cybersecurity for Embodied AI and Autonomous Systems
- Internet of Things (IoT) Security and Lightweight Cryptography
- LoRaWAN Key Management and Secure Protocol Design
- 5G and 6G Communication Systems and Network Function Virtualization
- Machine and Deep Learning for Sensor Data Analysis
- Wearable Sensing and Human Postural Stability
- Explainable Deep Learning for Biomedical Signals
- eHealth Applications and Machine Learning for Healthcare
- Underwater Wireless Sensor Networks (UWSNs)
- Mobile Edge Computing
Awards & Recognition
🏆 Best Paper Award — IEEE ZINC Conference (2022)
Received the Best Paper Award at the IEEE Zooming Innovation in Consumer Technologies Conference, University of Novi Sad, Serbia, for research on explainable AI in biomedical sensing.
Recent Highlights
- 2026 – Örebro University, Sweden: Joined as a WASP-funded Postdoctoral Researcher in Computer Science, affiliated with the AI, Robotics and Cybersecurity Center (ARC), working on cybersecurity for embodied AI systems.
- 2026 – ICC 2026, Glasgow, United Kingdom: Published "Explainable Deep Learning for IMU-Based Center of Pressure Prediction Using CNN–BiLSTM–Attention" at the IEEE International Conference on Communications.
- 2025 – IEEE Healthcom, Abu Dhabi, United Arab Emirates: Published "Deep Learning-Based Estimation of COP Trajectories Using IMU-Integrated Smart Glasses" at the IEEE International Conference on E-health Networking, Application & Services.
- 2025 – IEEE Internet of Things Journal: Co-author of a paper on IMU-based postural stability prediction using interpretable deep learning models.
- 2024 – RAISE Project (PNRR NextGenerationEU): Conducted research on wearable IMU-based human balance assessment and explainable AI at DITEN, University of Genoa.
- 2024 – 5G INDUCE Project (EU Horizon 2020): Contributed to the design of secure edge-enabled industrial IoT architecture at CNIT, University of Genoa.
- 2022 – IEEE ZINC Conference, University of Novi Sad (Serbia): Received Best Paper Award for research on explainable AI in biomedical sensing.
Contact
Office: Room T2247, Örebro University, SE-701 82 Örebro, Sweden
Personal Email: junaidqadirphd[at]gmail[dot]com
Quick Links
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