Phenias Nsabimana | Cybersecurity And Cryptography | Best Researcher Award

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Mr. Phenias Nsabimana, Cybersecurity And Cryptography, Best Researcher Award

Phenias Nsabimana at Ghent University, Rwanda

Mr. Phenias Nsabimana is a professional in the field of nutrition, food sciences, and education. He holds a Ph.D. in Nutrition and Food Sciences from Ghent University (USA), a Master of Science (MSc) in Food Science from Washington State University, and a Bachelor’s degree in Chemistry with Education from the National University of Rwanda. Mr. Nsabimana is also a Lecturer and Ph.D. student at the College of Agriculture, Animal Science, and Veterinary Medicine at the University of Rwanda. He is a member of the Belgian Nutrition Society, the Rwandan Society of Food Science and Technology (RFST), and the Washington State University alumni association. His current interests include the application of data science in Food Science and Nutrition, promoting healthy eating to prevent malnutrition and non-communicable diseases, formulating healthy foods, and ensuring food safety and environmental sanitation.

Profile:

Education:

Ph.D. in Nutrition and Food Sciences:

  • Institution: Ghent University (USA), Belgium
  • Duration: From 12/02/2018 to Present
  • Expected Qualification: Ph.D. (to be awarded by December 2024)

Master of Science (MSc) in Food Science:

  • Institution: Washington State University, USA
  • Duration: From 03/18/2011 to 05/12/2013
  • Title Awarded: Master of Science (MSc)

Bachelor’s degree in Chemistry with Education:

  • Institution: National University of Rwanda
  • Duration: From 10/03/2000 to 07/20/2006
  • Title Awarded: Bachelor’s degree (of four years)

Professional Experience:

Mr. Phenias Nsabimana has been working as a Lecturer and Ph.D. student at the College of Agriculture, Animal Science, and Veterinary Medicine at the University of Rwanda since June 2010. His responsibilities include teaching courses related to food science and nutrition, mentoring students in their academic activities, and conducting research focused on community outreach activities.

Research Interest:

  • Application of Data Science in Food Science and Nutrition: Utilizing data science techniques to analyze and improve various aspects of food science and nutrition, such as food quality, safety, and sustainability.
  • Promoting Healthy Eating and Preventing Malnutrition: Investigating strategies and interventions aimed at promoting healthy eating behaviors and addressing nutritional deficiencies to prevent malnutrition-related issues.
  • Development of Functional Foods: Researching the development and evaluation of functional foods that offer health benefits beyond basic nutrition, such as foods fortified with vitamins, minerals, or bioactive compounds.
  • Food Safety and Quality Assurance: Focusing on ensuring food safety standards, implementing quality assurance measures, and developing methods for detecting and mitigating foodborne hazards.
  • Sustainable Food Systems: Exploring sustainable practices in food production, distribution, and consumption to reduce environmental impact and improve long-term food security.
  • Nutritional Epidemiology: Conducting studies to understand the relationship between diet, nutrition, and health outcomes at the population level, including factors influencing dietary patterns and their impact on public health.

Membership:

  • Belgian Nutrition Society: Mr. Phenias Nsabimana has been a member of the Belgian Nutrition Society since 2018, contributing to the field of nutrition science and research.
  • Rwandan Society of Food Science and Technology (RFST): Since 2015, Mr. Nsabimana has been an active member of the RFST, engaging in discussions and activities related to food science and technology in Rwanda.
  • Washington State University Alumni: As a proud alumnus of Washington State University, Mr. Nsabimana maintains his connection to the university and its network of alumni since 2013.

Top Noted Publication:

 

Oluwafemi Oke | Cybersecurity And Cryptography | Best Researcher Award

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Mr. Oluwafemi Oke, Cybersecurity And Cryptography, Best Researcher Award

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.

Education:

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.)
  • Volume: [Volume Number]
  • Issue: [Issue Number]
  • Pages: [Page Range]

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]