Journal Information
Call for Submissions
Now accepting submissions for: Volume 1, Number 1 (2026)
Submission Deadline: 30 October 2026
The Hensard Journal of Artificial Intelligence and Data Science (HJAI-DS) invites high-quality original research articles, review articles, short communications, applied case studies, and policy/practice papers that advance knowledge and applications in artificial intelligence, machine learning, data science, robotics, automation, and related computational fields.
The journal particularly welcomes interdisciplinary research that demonstrates methodological rigor, reproducibility, innovation, and practical relevance to societal and industrial challenges.
Article Types: Original Research • Review Article • Short Communication • Case Study • Policy/Practice Brief
Themes and Areas of Interest
- Machine Learning & Deep Learning
- Natural Language Processing & Generative AI
- Computer Vision, Remote Sensing & Image Analytics
- Robotics, Automation & Autonomous Systems
- Big Data Analytics & Data Engineering
- AI for Agriculture & Food Systems
- AI for Health, Public Health Informatics & Decision Support
- AI for Environment, Climate & Sustainability
- Responsible AI, Ethics, Fairness & Governance
- Explainable AI, Interpretability & Model Auditing
- AI applications in Civil, Power, Communications, Mechanical, Mechatronics, Marine, and Petroleum Engineering.
- Applications in Finance, Education, Governance & Industry
Author Guidelines – Summary
- Manuscript Types: Original Research Articles, Review Articles, Short Communications, Case Studies, and Policy/Practice Briefs.
- Recommended Structure: Title, Abstract, Keywords, Introduction, Materials and Methods, Results, Discussion, Conclusion, Declarations, and References.
- Figures and Tables: All figures and tables should be numbered consecutively, provided with informative captions, and cited appropriately in the manuscript.
- Data and Code: Authors are encouraged to provide data availability and code availability statements wherever appropriate to promote transparency and reproducibility.
- Research Ethics: Ethical approval must be reported where applicable. Authors must disclose conflicts of interest and relevant funding sources.
- Originality: Manuscripts must represent original work and must not be under consideration by another journal at the time of submission.
- References: References should be complete, accurate, and consistently formatted according to the journal's prescribed referencing style.
Submit Your Manuscript
Authors can submit manuscripts through the HJAI-DS online submission system and monitor the progress of their manuscripts through the editorial and peer-review process.
Start New SubmissionEditorial Leadership
Editor-in-Chief
Professor Frank Ibikunle, FNSE
Dean, Faculty of Engineering
Hensard University, Nigeria
Mob. Number: +234 806 600 2258
E. MAIL: francisayoleke@gmail.com
Associate Editors / Editorial Board
Dean, Faculty of Environmental Sciences
Hensard University, Nigeria
Department of Mechatronic Engineering
University of Nigeria, Nsukka, Enugu State, Nigeria
Expertise: Robotics and Automation, AI in Agriculture, Systems Modelling and Simulation
Email: ozoemena.ani@unn.edu.ng; aniozoemena@yahoo.com
Professor of Artificial Intelligence and Robotics
Faculty of Science / Faculty of Computing and Informatics
University of Lagos, Akoka, Lagos State, Nigeria
Expertise: Artificial Intelligence, Robotics, Machine Learning and Data Science
Email: cyinkabanjo@unilag.edu.ng; airol@unilag.edu.ng
Federal University of Petroleum Resources, Effurun (FUPRE), Delta State, Nigeria
Expertise: Automation, Robotics and Renewable Energy
Deputy Director, Centre for Entrepreneurship & Innovation
Department of Computer Science, Faculty of Computing
University of Jos, Plateau State, Nigeria
Email: oyerindeo@unijos.edu.ng; oyerindeo@gmail.com
ICT Administrator, Department of Mechatronic Engineering
Faculty of Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria
Expertise: Robotics, Control Systems and Automation
Email: solomon.nwafor@unn.edu.ng
Department of Mechatronic Engineering
Faculty of Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria
Expertise: Robotics and Systems Modelling/Simulation
Email: mechatronic.engineering@unn.edu.ng
Director, Academic Program, RAIN
AI Researcher & Educator
Ibadan, Oyo State, Nigeria
Expertise: AI Curriculum Development and Robotics
Department of Mechanical, Energy and Industrial Engineering
Botswana International University of Science and Technology, Palapye, Botswana
Expertise: Robotics, Artificial Intelligence, Robotics and Autonomous Systems
Email: jamisolar@biust.ac.bw
Federal Ministry of Health and Social Welfare, Nigeria / Nuffield Department of Primary Care Health Sciences, University of Oxford
Email: francisayomoh@gmail.com
Editors
- Dr. Zainab Bello Dambazau – Nigeria Centre for Disease Control and Prevention (NCDC), Nigeria
Email: zaina.dambazau@ncdc.gov.ng - Prof. Ladi Sule Matinja – University of Abuja, Nigeria
Email: smatinja@gmail.com; sule.matinja@uniabuja.edu.ng - Dr. Rejoice Kaka Hassan – University of Nigeria, Nsukka, Nigeria
Email: rejoice.diara@gmail.com - Dr. Nuyong Anuhu – Federal University Gashua, Yobe State, Nigeria
Email: anuhunuyongfuga@gmail.com - Dr. Benson Ojile, PhD, FICEN – Transformative Governance Think Tank, Nigeria
Email: bgojile@gmail.com - Dr. Ayana Yeneabat, MD, MPH – Oxford Policy Management / Arba Minch University, Ethiopia
Email: ayanayene@gmail.com - Dr. Boniface Effiong Ukpong – Akwa Ibom State Ministry of Health, Uyo, Nigeria
Email: drukpong@gmail.com - Dr. Olawole Aderemi Isola – Pharmaceutical Society of Nigeria
Email: aderemiooniola@gmail.com - Dr. Malgwi Arhyel – Nigeria Field Epidemiology and Laboratory Training Programme (NFELTP)
Email: malgwi_arhyel@yahoo.co.uk - Dr. Muhammad Muhammad Saleh – United States CDC, Abuja, Nigeria
Email: msaleh@cdc.gov - Dr. Abdulrahman Terab, PhD, FIMC – Nigerians in Diaspora Commission (NIDCOM), Nigeria
Email: abdulterab@yahoo.com
Hensard Journal of Artificial Intelligence and Data Science (HJAI-DS)
Advancing rigorous, reproducible and application-oriented research in artificial intelligence and data science.