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)