Anayo Ikegwu | Software Engineering | Best Researcher Award

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Dr. Anayo Ikegwu | Software Engineering | Best Researcher Award

Lecturer at Veritas University Abuja, Nigeria

Dr. Anayo Chukwu Ikegwu is a dynamic academic, researcher, and IT consultant with deep expertise in Big Data Analytics, Artificial Intelligence, Machine Learning, Cybersecurity, and Mobile Health Computing. He holds a Ph.D. in Computer Science (Big Data Analytics) from Alex Ekwueme Federal University Ndufu-Alike and is currently concluding a second Ph.D. in Cybersecurity at the same institution.

Profile:

Areas of Interest:

  • Big Data Analytics / Data Science

  • Machine Learning / Artificial Intelligence

  • Cybersecurity

  • Mobile Health Computing

Academic Qualifications:

  • Ph.D. in Cybersecurity (in view), 2024 – Alex Ekwueme Federal University Ndufu-Alike

  • Ph.D. in Computer Science (Big Data Analytics), 2017–2023 – AE-FUNAI

  • M.Sc. in Information Technology, 2015–2017 – NOUN

  • B.Sc. in Computer Science, 2008–2012 – Ebonyi State University

  • WAEC/NECO, 1999–2004 – Urban Model Secondary School

  • FSLCE, 1990–1995 – Ole Okibe Primary School

Current Position:

Lecturer I – Veritas University, Abuja
Postgraduate Committee Member – Department of Computer and Information Technology
Faculty Journal & Conference Committee Member – Faculty of Natural and Applied Sciences

Recent Positions:

  • Facilitator – National Open University of Nigeria (2024–Present)

  • Data Science Trainer – Veritas University (2024)

  • Senior Consultant – AIC-Analyst Info. Consulting Ltd (2018–2023)

  • ICT HOD/Facilitator – DoveNet eSolutions Ltd (2015–2017)

Professional Memberships:

  • Member, Nigeria Computer Society (NCS)

  • Member, Nigeria Foundation for Artificial Intelligence (NFAI)

  • Member, IEEE

  • Member, ACM

  • State Organising Secretary, NOUN Alumni Association

Technical Skills:

Python, MS Office, PHP/MySQL, Oracle 11g, WordPress, CorelDraw, Photoshop, Visual Studio, Google Workspace, Canva

Interpersonal Strengths:

  • Problem-solving through analytics

  • Strong communication & mentoring skills

  • Conflict resolution & team management

Certifications:

  • Oracle Certified Administrator – AfriHUB Nigeria

  • Digital Marketing Professional – Google

  • Jobberman Soft Skills Training – 2022

  • Certificates of Excellence in Reviewing – IEEE, Springer, Elsevier, and others

Academic Supervision:

  • Master’s Projects: Completed (1), Ongoing (2)

  • PGD Projects: Completed (1)

  • Undergraduate: Numerous

Publications & Research Impact:

  • Peer-Reviewed Journals: 15

  • Conference Papers: 9

  • Book Chapters: 2

  • Mini Book & Thesis Works: 3

  • Google Scholar Citations: 439 (h-index: 5)

  • Scopus Citations: 253 (h-index: 5(6))

Extracurricular Activities:

  • Public speaking on career development

  • Interactive game design for children

  • Sports (swimming), reading, travelling

Citation Metrics:

  • Total Citations: 455

  • Citations since 2020: 452

  • h-index: 5

  • h-index since 2020: 5

  • i10-index: 5

  • i10-index since 2020: 5

Publication Top Notes:

 

Belal Hamed | Computer Science | Best Researcher Award

Published on by Popular Scientist

Dr. Belal Hamed | Computer Science | Best Researcher Award

Assistant Lecturer at Department of Computer Science, Faculty of Science, Minia University, Egypt

Belal Ahmed Mohammed Hamed is an Assistant Lecturer at the Department of Computer Science, Faculty of Science, Minia University, and at the Department of Artificial Intelligence, Minia National University, Egypt. He holds a master’s degree in Computer Science, with research expertise in bioinformatics, machine learning, and graph-based disease prediction models. His work focuses on developing advanced algorithms for pattern recognition in DNA sequences and medical data analysis. He has published in Scopus and SCI-indexed journals, and contributed to six research projects, including two funded ones. He also serves as a reviewer for journals such as Scientific Reports and The Journal of Supercomputing. His notable contributions include a high-accuracy Graph Convolutional Network model for Alzheimer’s gene prediction.

Profile:

Academic Background:

Belal holds a Master’s degree in Computer Science. His academic training and research work are rooted in computer science, with a focus on interdisciplinary applications in healthcare and genomics.

Research Areas:

  • Bioinformatics

  • Machine Learning

  • SNP-based Disease Prediction

  • Graph Neural Networks

  • DNA Pattern Matching Algorithms

Research Contributions:

Belal developed a deep learning model that integrates SNP data and Graph Convolutional Networks (GCNs) to predict gene-disease associations, specifically in Alzheimer’s disease. The model achieved 98.04% accuracy and AUROC of 0.996, identifying both known and novel genes. His framework is adaptable for use in other diseases, supporting personalized medicine and clinical research.

Publications & Impact:

  • 4 research papers in SCI/Scopus-indexed journals (Springer Nature, Wiley)

  • Google Scholar Citations: 73

  • h-index: 3

Research & Projects:

  • Participated in 6 research projects, including 2 funded

  • Contributed to 1 industry-academic collaboration in medical data analysis

Editorial Roles:

  • Reviewer for The Journal of Supercomputing, Scientific Reports, and Medical Data Mining Journal

  • Young Scientist – Medical Data Mining Journal

Collaborations:

Active in interdisciplinary research teams, particularly in genomics and artificial intelligence.

Publication Top Notes: