Oluwafemi Oke at Near East University, Cypus
Oke Oluwafemi is a highly motivated and skilled Ph.D. candidate in Artificial Intelligence with a strong desire for a remote position in machine learning. He has demonstrated success in leading research projects, developing AI algorithms, and implementing AI solutions across various industries. Oke possesses expertise in machine learning, natural language processing, and computer vision. His proficiency extends to languages such as Python, and frameworks including TensorFlow and PyTorch. He holds a Bachelor’s degree in Computer Engineering, a Master’s degree in Computer Science with a focus on Software Engineering, and is currently pursuing his Doctor of Philosophy in Computer Information Systems with a concentration in Artificial Intelligence.
Babcock University
- Degree: Bachelor of Science in Computer Engineering
- Duration: July 2016
- Project: Radio Frequency Identification in Doors
Babcock University
- Degree: Master of Science in Computer Science (Software Engineering)
- Duration: August 2020
- Thesis: Hybrid Intelligent Internet of Things (IOT) Systems for Automated Homes
Near East University
- Program: Doctor of Philosophy (PhD)
- Duration: March 2021 – Present
Profile:
Professional Experience:
AI Engineer, Cadbury Plc, 2015
- Developed and deployed AI-based solutions for clients in various industries.
- Implemented machine learning algorithms for image and speech recognition, improving accuracy by 23%.
AI Consultant, Corporate Affairs Commission, 2017
- Provided expert guidance and consulting services on AI implementation.
- Conducted workshops on machine learning and deep learning.
- Built and trained models for natural language processing and computer vision tasks.
Data Scientist, NEU Cardiac Centre, 2020
- Developed a healthcare diagnostic tool using machine learning and image recognition, achieving 94% accuracy in identifying cancerous cells.
- Conducted analysis of customer behavior using NLP on social media data, leading to a targeted marketing strategy and a 15% increase in conversions.
Machine Learning Engineer, Harvest, 2022
- Led the development of a recommendation system using deep learning, increasing user engagement by 30% and sales by 25%.
- Led a team to implement an autonomous vehicle navigation system, achieving 99.5% accuracy in real-world scenarios.
Research Interests:
Mr. Oluwafemi Oke has amassed a wealth of research experience across various domains of artificial intelligence (AI) and machine learning (ML). As a Research Assistant at Daxlinks in 2020, he focused on deep learning techniques within the realm of machine learning, contributing significantly to user engagement improvements by developing a novel approach that yielded a remarkable 45% increase in interaction accuracy. His tenure at GIFA INC in 2021 saw him collaborating on groundbreaking research projects exploring the intersection of AI and climate science, as well as devising a cutting-edge deep learning model for financial market forecasting, achieving an impressive 85% accuracy rate. Additionally, he played a pivotal role in enhancing language translation models using Transformer architectures, leading to a noteworthy 20% enhancement in translation accuracy, which garnered recognition within the academic community. Subsequently, as a Research Scientist at Near East University in 2022, Mr. Oke spearheaded the development of advanced algorithms for image and video analysis, resulting in the acquisition of several patents. Moreover, his contributions to research in natural language understanding culminated in multiple publications in prestigious conferences and journals. Notably, Mr. Oke led a team of researchers in the creation of an AI-based predictive maintenance system for industrial equipment, achieving a remarkable 67% reduction in downtime and a significant 97% increase in efficiency.
Publications:
Artificial Intelligence for Computer Vision: A Bibliometric Analysis
- Year: 2023
- Author(s): Oluwafemi Oke
- Journal: [Journal Name] (Please insert the name of the journal where the paper was published.)
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Brain-Computer Interfaces: High-Tech Race to Merge Minds and Machines
- Year: 2023
- Author(s): Oluwafemi Oke
- Journal: [Journal Name] (Please insert the name of the journal where the paper was published.)
- Volume: [Volume Number]
- Issue: [Issue Number]
- Pages: [Page Range]
The Impact of Artificial Intelligence in Foreign Language Learning Using Learning Management Systems: A Systematic Literature Review
- Year: 2023
- Author(s): Oluwafemi Oke
- Journal: [Journal Name] (Please insert the name of the journal where the paper was published.)
- Volume: [Volume Number]
- Issue: [Issue Number]
- Pages: [Page Range]