1125 Colonel By Dr
Carleton University Sep 2018 — Present
Chevron Corporation Jul 2008 — Dec 2017
Process Automation / Big Data and Cybersecurity Consultant
Team Lead, Upstream Workflow Transformation (UWT)
Process Control / Functional Safety Engineer - Escravos Gas to Liquids Refinery
PhD - Information Technology Sep 2018 — Present
Research Interests: Internet of Things, Artificial Intelligence, Network Security, Data Leakage and Privacy, Machine Learning,Â Adversarial Samples, 5G Networks, Cyber Deception, Smart Grid, Edge Computing
ALM - Information Technology May 2013 — May 2016
Research project: Digitizing the oilfield with predictive analytics and big data
MSc - Information Technology Jul 2007 — Mar 2011
Masterâ€™s Thesis: Strategic implications of implementing digital oilfields in oil and gasÂ offshore facilities.
HND - Electrical Electronics Engineering Jan 2000 — Mar 2005
Final year project: Design and simulation of a de-centralized traffic control system.
â€˘ Security and privacy of machine learning on the IoT edge
â€˘ Adversarial resilience of machine learning on the IoT edge
â€˘ IoT data leakages in smart home environments
â€˘ Mitigating adversarial machine learning in IoT edge devices
â€˘ Artificial Intelligence based cyber deception techniques for securing IoT networks
â€˘ Multimodal security and privacy for smart environments
â€˘ Security of IoT smart grid infrastructure based on machine learning
Project Management Professional (PMP)
Certified Functional Safety Expert (CFSE)
Scholarships and Awards
â€˘ Recipient of the David and Rachel Epstein Scholarship in January 2019 based on outstanding academic performance.
â€˘ Recipient of Carleton university departmental scholarship
â€˘ Recipient of Carleton university doctoral entrance scholarship
Community, Leadership and Activities
â€˘ Gave a presentation titled â€śAdversarial Attacks on Machine Learning in Net. Securityâ€ť at the Carleton 6G workshops on AI, ML and Data analytics for comm. networks in March 2019.
â€˘Participated in the Carleton University Campus Community safety audit in partnership with the Womenâ€™s Initiative for Safer Environment (WISE) on October 30th, 2018 where I applied my previous industry experience as a safety personnel within the oil and gas industry to help identify hazards within the Carleton university campus environment to improve safety and accessibility.Â
â€˘ Current volunteer in the International and Indigenous Languages program at the Ottawa Catholic School Board where I facilitate language lessons for the Yoruba native language.
â€˘Volunteered as a City of Ottawa Flood first responder in April 2019. Worked alongside dozens of military service personnel in providing relief and assistance to victims impacted by flooding within the Ottawa East locations
â€˘ Volunteered as CU FIRST Project Judge at the Ottawa First Lego League.
â€˘ Volunteered as a photographer during the SEREN RISC cybersecurity annual workshop, at the University of Quebec Outaouais in October 2018.
â€˘Volunteered as a display table staff for the Carleton School of Information Technology (CSIT) at the Carleton University Data Day 6.0 on March 26, 2019.
â€˘Volunteered to present and showcase ongoing research work by the Carleton School of Information Technology to guests and participants at the Data Day 6.0 event.
â€˘ Serves as project team lead at Carleton University Next Generation Networks (NGN) Laboratory, responsible for implementing an IoT / 5G testbed platform and communicating periodic progress reports as well as giving update presentations on the project status.
â€˘Performed editorial and peer review assignments for IEEE Cloudnet 2019 Conference, IEEE Communications and Survey Tutorials Journal and IEEE SecureComm 2019 Conference
1. Ibitoye O.F., Abou-Khamis R., Ashraf M. and Shafiq O. (2019) The Threat of Adversarial AttacksÂ on Machine Learning in Network Security - A Survey. (PhD work). IEEE Communications Surveys and Tutorials. (Submitted 17 September 2019, 14 pages, Submission number (COMST- 00430-2019))
2. Ibitoye O.F., Shafiq O. and Ashraf, M. (2019) Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks. (PhD work). 2019 IEEE Global Communications Conference: December 9 â€“ 13, 2019 in Waikoloa, Hawaii, USA, (Accepted 18 July 2019, 6 pages.)
3. Ibitoye O.F., Shafiq O. and Ashraf, M. (2019) A Convolutional Neural Network Based SolutionÂ for Pipeline Leak Detection. (PhD work). 2019 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) â€“ (Poster Abstract): Ottawa, ON, October 16, 2019 (Best Poster Award.)
4. Ibitoye O.F *., Shafiq O. and Ashraf, M. (2019) Analyzing Adversarial resilience of Deep learning models in IoT network security (PhD work). 2019 SERENE-RISC Annual Workshop - Ottawa, ON, October 23-24, 2019 (Poster Session).