I'm Shakil Ahsan, a dedicated Cybersecurity professional with extensive experience in IT-managed services, infrastructure, network, and security management. Proven track record of supporting and enhancing security infrastructures and providing continuous operational support. Strong organizational, communication, and interpersonal skills with a commitment to continuous learning and improvement.

With a Master’s degree in Cyber Security from the University of the West of England (UWE) Bristol, where I graduated with distinction, I have cultivated a deep understanding of cybersecurity principles and practices. My educational journey also includes a Bachelor of Science in Electrical & Electronic Engineering from Ahsanullah University of Science & Technology, Dhaka, and a Diploma in Electronics Engineering from Dhaka Polytechnic Institute.

My professional experiences span various roles, from IT consulting and network engineering to teaching electronics and electrical engineering. I have worked on diverse projects, including developing a censorship framework for internet measurement at ESL Global Cybersecurity, Rochester Institute of Technology, and creating a stacked ensemble learning IDS model for SDN-defined VANET during my master’s research.

I have actively contributed to the academic community as a reviewer for the IEEE Symposium on Computers and Communications and the Journal of Cyber Security and Applications. My research publications, which focus on topics like federated learning for intrusion detection and privacy-preserving techniques in software-defined VANETs, underline my commitment to advancing cyber security.

I aim to explore the intersection of AI and cyber security, striving to contribute innovative insights and solutions to this dynamic field. My ultimate goal is to further my career as a researcher and professional in cyber security, leveraging my blend of academic knowledge and practical experience to address emerging challenges and enhance data privacy and security.

Research Work: 

• -  "Privacy-Enhanced Sentiment Analysis in Mental Health: Federated Learning with Data Obfuscation and Bidirectional Encoder Representations from Transformers."

Co-authors: Dr. Djamel Djenouri and Rakibul Haider
DOI: https://doi.org/10.3390/electronics13234650 

• -  "An Explainable Ensemble-based Intrusion Detection System for Software-Defined Vehicle Ad-hoc Networks."

Co-authors: Prof. Dr. Phil Legg (UWE-Bristol) and S M Iftekharul Alam (Intel Labs)
DOI: https://doi.org/10.48550/arXiv.2312.04956 

• -  " Privacy-Preserving Intrusion Detection in Software-defined VANET using Federated Learning with BERT " in International Journal of Wireless Information Networks of Springer.

Co-authors: Prof. Dr. Phil Legg (UWE-Bristol) and Dr. S M Iftekharul Alam (Intel Labs)

DOI: https://doi.org/10.48550/arXiv.2401.07343

• Reviewer Experiences: 

-  Reviewing papers for the 29th IEEE Symposium on Computers and Communications (ISCC), 2024.

- Reviewing papers for the Journal of Cyber Security and Applications.

• Investigation of a URL database to develop a DGA classification system using ML.

• Investigate a web application to identify malicious attack activity using Python data science libraries.

• Apple Inc. stock price analysis using K-nearest neighbours (KNN) and  Long Short Term Memory (LSTM) .