Shakil Ahsan
 PhD Candidate in Computer Science & Information Systems

Researcher | Cybersecurity Professional | Big Data Analytics, Trend Forecasting, Data Privacy & AI Systems

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I am a PhD candidate in Computer Science at Birkbeck, University of London, with a focus on cybersecurity, data privacy, and AI-driven modeling. 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.

 

Experience 

 

Research & Article 

🧠 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 

Co-authors: Dr. Djamel Djenouri (UWE), Rakibul Haider (UWE)

 

🧾 Preprint

-       "Privacy-Preserving Intrusion Detection in Software-defined VANET using Federated Learning with BERT". Citation: 01

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

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". Citation: 01

      DOI: https://doi.org/10.48550/arXiv.2312.04956 

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)



Area of Interest

Cyber Security

The protection of computer systems and networks from attack by malicious actors that may result in unauthorized information disclosure.

Data Science

 That uses statistics, scientific computing, scientific methods, processes, algorithms, and systems to extrapolate knowledge and insights from structured, and unstructured data. 

Machine Learning

 A field of inquiry devoted to understanding and building methods that "learn" – methods that leverage data to improve performance on some set of tasks.

Artificial Intelligence

 That is able to perform tasks that ordinarily require human intelligence.

 

 

Projects

 

Certificates & Training

RIT CyberVSR'23

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!


#RITCybervsr #Research #CyberSecurity 

CCNA Exploration_Routing LAN, Switching and WirelesSs.pdf
CCNA Exploration_Routing LAN, Switching and WirelesSs.pdf
CCNA Exploration Routing Protocols and Concepts.pdf
CCNA Exploration_Network Fundamental.pdf

Videos

Master of Science in Cyber Security Graduate

Gather DNS Information using nslookup and Online Tool 

 

Get in touch at sahsan03@student.bbk.ac.uk

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