Faissal Ahmadou

FAISSAL Ahmadou


Young Cameroonian PhD student in Computer Science in the field of cybersecurity and artificial intelligence. My goal is to solve local cybersecurity problems while using artificial intelligence tools and techniques. I am a computer science teacher by training.

I am characterized by

Student who has the ability to work under pressure and deliver the desired results. My desire is usually gears towards getting the best. Very open to team work and collaboration.

Professional experience

• Assistant for the Master 2 Data Science course, system and network administration course under the supervision of Pr. Dr.-Ing Tchakounté Franklin
• Teacher of Database and Data Analysis courses at the Higher Institute of Petrochemistry and Mathematical Engineering (ISPIM) Yaoundé, Cameroon;
• In charge of the online teaching platform at the Burkina High School.
• Speaker at the Burkina Faso international Workshop on Cybersecurity
• Trainer of the CyComAi Project on Cybersecurity and Artificial Intelligence.

Current responsibilities


• Computer science teacher in GHS Burkina, Ngaoundéré, Cameroon;
• Researcher at University of Ngaoundéré, Cameroon.

Research Interests

Cyber security, Social media Security, Data Science, Artificial Intelligence, Expert Systems

Projects

SocialEyes: Investigating the identification of hoaxes on social networks through the development of innovative tools based on computational analysis of text and images by means of social tools and collective intelligence. (cf. the project page in the website https://cycomai.com/projectsAll.html )

Level of studies

Ph.D

Current Studies

(Ph.D ongoing)

Description of current research

My research has contributed to identify fake information in social media. Now I work on building AI-based knowledge to integrate in recommendation systems to prevent fake information.

Description of past research

My past research is Focused to identify Fake News in social media accross Crowdsourcing

Publications

Published
1) «A Reliable Weighting Scheme for the Aggregation of Crowd Intelligence to Detect Fake News». Tchakounté, F.; Faissal Ahmadou.; Atemkeng, M.; Ntyam, A. Information 2020, 11, 319. https://doi.org/10.3390/info11060319 https://www.mdpi.com/2078-2489/11/6/319.
2) Crawl-shing: A Focused Crawler for Fetching Phishing Contents based Graph Isomorphism. Franklin Tchakounté; Jim Carlson Ngnintedem Teukeng; Irépran Damakoa; Ahmadou Faissal; Franck Arnaud Kuaté Fotso https://doi.org/10.1016/j.jksuci.2021.11.003 https://www.sciencedirect.com/science/article/pii/S1319157821003037
In process
3) “Determinants of Cybercrime Victimization: Experiences and Multi-stage Recommendations from a Survey in Cameroon” (Journal of EAI AFRICOMM, Submitted 2022)
4) “Fals-Ism: A Multilevel Detection of Falsified PDF Documents based on Graph Isomorphism ” (Scientific African, Submitted 2021)
5) “ SVDroid: Does Singular Value Decomposition Improve CNN- based Android Malware Classification “ (Journal of Cybersecurity, Submitted 2021)

Email

a.faissal[AERO]cycomai[POINT]com

Google scholar page

https://scholar.google.com/citations?user=mUfpmPIAAAAJ&hl=fr].

Social media pages

LindedIn : https://www.linkedin.com/in/ahmadou_faissal
Facebook : faissal.ahmadou7
Twitter : @ahmadou_faissal

Research Group

https: www.cycomai.com