Shakil Ahsan
PhD Researcher in AI Forecasting | Multi-Agent Systems | Data Privacy | Explainable & Ethical AI | Cybersecurity
PhD Researcher in AI Forecasting | Multi-Agent Systems | Data Privacy | Explainable & Ethical AI | Cybersecurity
I am a PhD candidate in Computer Science at Birkbeck, University of London, with a focus on cybersecurity, data privacy, and multi-agent AI systems. My research explores big data analytics, federated learning, and technology cycles, particularly in healthcare and tech trend forecasting. With an MSc in Cyber Security (Distinction) from UWE Bristol, I bring expertise in data science, penetration testing, and AI-driven security.
Inspired by Dr. Paul D. Yoo, I aim to bridge AI innovations with real-world healthcare and technology trend forecasting applications.
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
IT Consultant
Mart Engineering and Consultancy (MEC), Bangladesh
Mar 2020 – Aug 2021
Senior Assistant Manager (Support & Service)
Navana Interlinks Limited, Bangladesh
Jun 2014 – Feb 2020
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", in Electronics (MDPI), [2024].
DOI: https://doi.org/10.3390/electronics13234650
GitHub Repo: https://github.com/mail2sia/FL_DO.git
Co-authors: Dr. Djamel Djenouri (UWE), Rakibul Haider (UWE)
🧾 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)
- "An Explainable Ensemble-based Intrusion Detection System for Software-Defined Vehicle Ad-hoc Networks".
DOI: https://doi.org/10.48550/arXiv.2312.04956
GitHub Repo: https://github.com/mail2sia/X-IDS_VANET.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.
I’m thrilled to announce that I have successfully completed the RIT Cybervsr certification! This achievement would not have been possible without the guidance, support, and expertise of my research advisors, Prof. H. B. Acharya, Ph.D. and collaboration with his diligent Ph.D. student Gursimran Singh.
Additionally, under the guidance of Prof. Shanchieh Jay Yang, and with the assistance of his program coordinators and guest speakers, we received thoughtful advice and gained profound insights into our research.
Their unwavering commitment to excellence and innovation has been instrumental in my growth and understanding of the field. A heartfelt thank you to all of them and to everyone else who has supported me along this journey!