I am a PhD candidate at Birkbeck, University of London, working with Prof. Paul D. Yoo. I build AI tools that help predict how rare mental health conditions—and the technologies that support care—may change over time. I aim to give doctors, planners, and researchers clear forecasts and to show how confident we are in each one. I design everything with privacy and safety in mind so people’s data stays protected. I also hold an MSc (Distinction) in Cyber Security from UWE Bristol and have hands-on experience in data science and security.
Birkbeck, University of London — PhD Candidate, Computer Science & Information Systems
Jan 2025 – Present
Research: “Forecasting Mental Diseases and Pertinent Technologies.”
Focus: Graph Neural Networks, Time-Series Forecasting, Uncertainty Quantification, AI for Health.
Supervisor: Prof. Paul D. Yoo.
University of the West of England (UWE Bristol) — MSc Cyber Security (Distinction)
Sep 2021 – Oct 2022
Key coursework: Computer & Network Security, Cyber Security Analytics, IoT System Security, and Research Project.
Lab Demonstrator
Birkbeck, University of London
June 2025 – Present
Teacher (Electronics Dept.)
Ahsanullah Institute of Technical and Vocational Education and Training (AITVET), Bangladesh
Oct 2009 – Aug 2011
Teacher (Electrical Dept.)
Rajdhani Polytechnic & Textile College, Bangladesh
Apr 2009 – Nov 2011
Student Ambassador
University of the West of England (UWE Bristol), UK
Oct 2021 – Oct 2022
Independent Researcher
Fueled by Curiosity & Coffee – Freelance
Dec 2022 – Dec 2024
• Conducted research in federated learning, intrusion detection, explainable AI (XAI), and data privacy.
• Published peer-reviewed papers while navigating reviewer feedback and self-driven deadlines.
• Explored both technical and conceptual aspects of AI, including multi-agent forecasting systems.
• Managed research timelines, publications, and motivation with no external supervision.
Assistant Manager
ADN Diginet, Bangladesh
Mar 2021 – Sep 2021
• Provided IT consulting for business automation systems (ERP, CRM) with a focus on privacy and role-based access.
• Contributed to enterprise system integration, digital infrastructure planning, and IT operations.
• Assisted in system migrations and updates, including Active Directory and Microsoft 365 configurations.
Assistant Manager
Innotech Systems Limited, Bangladesh
Mar 2020 – Feb 2021
• Supervised daily IT operations and coordinated client projects.
• Delivered technical support across client infrastructures and led system upgrade implementations.
• Improved IT process efficiency using Windows Server, virtualization, and directory services.
Senior Assistant Manager (Installation, Support & Service)
Navana Interlinks Limited, Bangladesh
June 2014 – Feb 2020
• Designed and implemented security surveillance and IT networking solutions for clients.
• Led bid preparation processes, contributing to successful tenders and proposal development.
• Managed IT projects in compliance with technical specifications, budgets, and governance standards.
• Configured and maintained VirtualBox, VMware, and Identity and Access Management (IAM) systems.
• Delivered technical support and mentored junior engineers in system security and troubleshooting.
Network Engineer
Prime Net Limited, Bangladesh
Dec 2013 – Jun 2014
ARC Engineer
Ezzy Automations (Ezzy Group), Bangladesh
Feb 2012 – Nov 2013
🧠 Published Paper:
"Privacy-Enhanced Sentiment Analysis in Mental Health: Federated Learning with Data Obfuscation and Bidirectional Encoder Representations from
Transformers." [peer-reviewed, open access journal]
Authors: Shakil Ibne Ahsan, Djamel Djenouri, Rakibul Haider
DOI: https://doi.org/10.3390/electronics13234650
Funding: This work partly contributes to the REMINDER project, funded under the EU CHIST-ERA program (Grant EP/Y036301/1 from EPSRC, UK).
GitHub Repo: https://github.com/mail2sia/FL_DO.git
An Explainable Ensemble-based Intrusion Detection System for Software Defined Vehicle Ad-hoc Networks. [peer-reviewed, open access journal]
Authors: Shakil Ibne Ahsan, Phil Legg, SM Alam
DOI: https://doi.org/10.1016/j.csa.2025.100090
GitHub Repo: https://github.com/mail2sia/X-IDS_VANET.git
🧾 Preprint
"Privacy-Preserving Intrusion Detection in Software-defined VANET using Federated Learning with BERT".
DOI: https://doi.org/10.48550/arXiv.2401.07343
GitHub Repo: https://github.com/mail2sia/FL_BERT_IDS.git
Co-authors: Prof. Dr. Phil Legg (UWE-Bristol) and Dr. S M Iftekharul Alam (Intel Labs)
🧪 Reviewer Experiences
- Reviewed papers for the 29th IEEE Symposium on Computers and Communications (ISCC), 2024.
- Reviewed papers for the Journal of Cyber Security and Applications.
- Reviewed papers for the 2024 IEEE Future Networks World Forum (FNWF)
The protection of computer systems and networks from attack by malicious actors that may result in unauthorized information disclosure.
That uses statistics, scientific computing, scientific methods, processes, algorithms, and systems to extrapolate knowledge and insights from structured, and unstructured data.
A field of inquiry devoted to understanding and building methods that "learn" – methods that leverage data to improve performance on some set of tasks.
That is able to perform tasks that ordinarily require human intelligence.
CCNA Exploration_Routing LAN, Switching and WirelesSs.pdfCCNA Exploration_Routing LAN, Switching and WirelesSs.pdfCCNA Exploration Routing Protocols and Concepts.pdfCCNA Exploration_Network Fundamental.pdf
Just wrapped up an inspiring day at Flower UK Health & Life Sciences Day in Cambridge . The sessions on federated AI and healthcare were right in my wheelhouse. Huge thanks to Prof. Nic and the Department of Computer Science and Technology, University of Cambridge for the invitation and warm hospitality. Grateful for the connections, presentations, and ideas to take forward. Onward to building trustworthy, privacy-first AI for health.
