Junaid Qadir (Ph.D.)

Career Timeline

Postdoctoral Research Experience

Postdoctoral Researcher – Department of Computer Science, School of Science and Technology, Örebro University, Sweden (April 2026–Present)

• Supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) and affiliated with the AI, Robotics and Cybersecurity Center (ARC).
• Conducting research on cybersecurity for embodied AI systems and autonomous sensor-driven platforms.
• Working on threat modeling, intrusion detection, and resilience mechanisms for AI-integrated cyber-physical systems.

Postdoctoral Researcher – DSP Laboratory, DITEN, University of Genoa, Italy (2024–2025)

• Conducted research on human postural stability prediction using IMU-equipped glasses under the RAISE (PNRR NextGenerationEU) project.
• Developed hybrid deep learning architectures (LSTM, GRU, TCN-Attention, CNN–BiLSTM–Attention) for Center of Pressure (CoP) trajectory estimation.
• Applied Explainable AI (XAI) methods including Integrated Gradients, SHAP, Attention mechanisms, and Fidelity Masking for interpretability.
• Collaborated with biomedical engineers and clinicians to enhance model transparency and physiological relevance.

Postdoctoral Researcher – CNIT (National Inter-University Consortium for Telecommunications), Genoa, Italy (2023–2024)

• Contributed to the Horizon Europe 6Green and 5G-INDUCE (H2020) projects on secure 5G edge-cloud architectures.
• Developed containerized VNFs and orchestration pipelines for industrial IoT scenarios using OpenStack and Docker.
• Proposed lightweight cryptographic mechanisms for device authentication and edge data protection.

European Project Involvement

• RAISE (PNRR NextGenerationEU) – Robotics and AI for Socio-economic Empowerment, University of Genoa, Italy (2024–2025).
• 6Green (Horizon Europe, GA 101096925) – Green Technologies for 5G/6G service-based architectures.
• 5G-INDUCE (H2020, GA 101016941) – Cooperative 5G experimentation for Industry 4.0.

Doctoral Research Experience

Ph.D. Researcher – COSMIC Lab, University of Genoa, Italy (2020–2024)

Visiting Ph.D. Researcher – KTH Royal Institute of Technology, Stockholm, Sweden (Jan–Jun 2022)

Thesis: "Cybersecurity in LoRaWAN Networks: Vulnerability Analysis and Enhancing Security Measures for IoT Connectivity."

• Developed a lightweight key management scheme based on AES-128, Argon2, ECDH, and ECDSA algorithms.
• Performed protocol security verification using the Scyther formal analysis tool.
• Published peer-reviewed articles in IEEE and Springer journals on IoT security and LoRaWAN key distribution.

Collaborative and Research Experience

• University of Valladolid, Spain: Research on breast cancer detection using machine learning and image analysis.
• Instituto de Telecomunicacoes, Portugal: Research on energy-efficient and cooperative routing in underwater acoustic wireless sensor networks (UWSNs).
• Sultan Moulay Slimane University, Morocco: Natural Language Processing (NLP) for COVID-19 tweet classification using deep learning.
• Quaid-i-Azam University, Pakistan: Developed energy-efficient and cooperative routing protocols for dense UWSNs and conducted simulation-based evaluations.

Teaching and Academic Experience

Teaching Assistant – Department of Electronics, Quaid-i-Azam University, Islamabad (2018–2019)

• Assisted in undergraduate teaching for courses on Digital Systems, Communication Networks, and Signal Processing.
• Supervised laboratory experiments and mentored undergraduate thesis students.

Lecturer – Forward Institute of Technology, Nowshera (2017–2018)

• Taught Mathematics and Physics to pre-engineering students.
• Designed interactive problem-solving sessions and academic tutorials.

Awards and Recognitions

• Best Paper Award – IEEE ZINC 2022, University of Novi Sad, Serbia.
• Italian Government PhD Scholarship (2020–2023).
• Prime Minister's Laptop Award – Government of Pakistan (2019).
• Prime Minister's Youth Internship Program – Pakistan (2017–2018).

Technical Skills

• Operating Systems: Linux, Kali Linux, Debian, Windows
• Programming: Python, C/C++, MATLAB
• AI/ML Frameworks: PyTorch, TensorFlow, Scikit-learn
• IoT & Networking: LoRaWAN, MQTT, BLE, 5G Core, NFV, SDN, OpenStack
• Security & Cryptography: AES-128, Argon2, ECDH, ECDSA
• DevOps Tools: Docker, Kubernetes, Git, VirtualBox
• Simulation Tools: NS2, OMNeT++, Mininet, ONOS
• Documentation: LaTeX, Markdown, MS Office

Professional Memberships

• IEEE Member – Institute of Electrical and Electronics Engineers (Member ID: 97730540)
• ACM Member – Association for Computing Machinery (Member ID: 7721139)