Kariyama Ibrahim Denka

Brief introduction

Dr. Kariyama Ibrahim Denka joined the Department of Agricultural Engineering in 2004 as a Technician and through determination and hard work, he now holds a terminal degree. He is passionate and diligence in his work. He has served in various committees and boards in the university. He has a vast experience in teaching, community services and research.

Area(s) of specialization

Agricultural Engineering (Soil and Water), Water Resources Engineering Management, Computational Fluid Dynamics and its applications in Anaerobic Digestion of Waste.

Qualification(s) (Degree(s) / Education / Certifications)

HND in Agricultural Engineering (Soil and Water Option), Tamale Technical University (formerly Tamale Polytechnic), Ghana

MSc in Water Resources Engineering Management, Heriot-Watt University, UK

PhD in Power Engineering and Engineering Thermophysics, Jiangsu University, China

Research interest(s)

• Irrigation water scheduling and automation for various crops under local conditions
• Numerical modeling of irrigation system designs and management
• Crop yield simulations under rain-fed and irrigation farming
• Improving the yield of methane from organic waste
• Computational Fluid Dynamics application for optimizing anaerobic digestion and irrigation designs
• Greenhouse optimization to reduce capital costs and the cost of cooling and heating
• Crop yield improvement using organic manures as soil amendments and conditioners
• Sustainable agriculture practices
• Renewable energy applications in agricultural development

Professional / Teaching Experience

• Irrigation Water Management
• Irrigation Systems Design
• Agro Waste Management
• Rural Water Supply for Agriculture, Irrigation Systems Design
• Fluid Mechanics
• Hydraulic Engineering
• Drainage Engineering
• Soil and Water Engineering
• Personal Development Plan

Achievements

• HND CBT Curriculum Development for Agricultural Engineering
• Supporting the training quality of agricultural engineering graduates
• Won a TALIF grants to support the acquisition of equipment for student training and learning and office furnishing.
• Support the generation of income through tractor services
• BTech Curriculum Development for Agricultural Engineering

Publication(s) / Article(s)

1. Kariyama, I. D., Li, W., Yu, S., Chen, L., Qi, R., Zhang, H., … & Wu, B. (2023). Simplified Modeling of High-Solids Anaerobic Digestion of Dairy Manure in a Pilot-Scale Stirred Tank Anaerobic Digester. Journal of the ASABE, 0.
2. Kariyama, I. D., Li, W., Yu, S., Chen, L., Qi, R., Zhang, H., … & Wu, B. (2022). Influence of intermittent minimal mixing intensity on high-solids anaerobic digestion energy efficiency of dairy manure in a pilot-scale stirred tank digester. International Journal of Energy and Environment, 13(2), 53-64.
3. Wu, B., Deng, X., Li, W., Kariyama, I. D., Chen, L., Yu, S., … & Lin, J. (2022). CFD Simulation of Solid and Non-Newtonian Fluid Two-Phase Flow in Anaerobic Digesters. Journal of the ASABE, 65(4), 903-912.
4. KARIYAMA, I. D. (2019). Experimental and Numerical Modeling of High-Solids Anaerobic Digestion of Dairy Manure in A Pilot-Scale Stirred Tank Digester (Doctoral dissertation, 江苏大学).
5. Kariyama, I. D., Zhai, X., & Wu, B. (2018). Physical and rheological properties of animal manure: a review. Transactions of the ASABE, 61(3), 1113-1120.
6. Kariyama, I. D., Zhai, X., & Wu, B. (2018). Influence of mixing on anaerobic digestion efficiency in stirred tank digesters: a review. Water research, 143, 503-517.
7. Zhai, X., Kariyama, I. D., & Wu, B. (2018). Investigation of the effect of intermittent minimal mixing intensity on methane production during anaerobic digestion of dairy manure. Computers and Electronics in Agriculture, 155, 121-129.
8. D. Kariyama (2014). Temperature-Based Feed-Forward Backpropagation Artificial Neural Network for Estimating Reference Crop Evapotranspiration in the Upper West Region, International Journal of Scientific and Technology Research, Volume 3, Issue 8, ISSN 2277-8616, 357-364.
9. Adeloye, A. J., R. Rustum, and I. D. Kariyama (2011), Kohonen Self-Organizing Map Estimator for the Reference Crop Evapotranspiration, Water Resour. Res., 47, W08523, doi:10.1029/2011WR010690
10. D. Kariyama (2014). Irrigation Schedule for Tomato Crop in Busa Irrigation Scheme in the Upper West Region using CropWat 8.0 Model, International Journal of Engineering Sciences and Management Research, Volume 1, Issue 2, ISSN 2349-6193, 54-70.
11. D. Kariyama and S.K. Agodzo (2011). Comparison of Empirical Temperature-based Methods for Estimating Reference Crop Evapotranspiration in the Upper Wa Region of Ghana, TPoly J. Tech., Vol.1 (1): 17-25
12. D. Kariyama (2014). Modeling the Impact of Climate on the Potential Yield of Maize Crop in the Upper West Region using the AquaCrop Model, International Journal of Engineering Sciences and Management Research, Volume 1, Issue 2, ISSN 2349-6193, 36-53.
13. D. Kariyama (2014). Simulations of the Potential Yields of Jenguma Soybean Variety in the Upper West Region Using AquaCrop Model, International Journal of Scientific and Technology Research, Volume 3, Issue 5, ISSN 2277-8616, 101-106.
14. Adeloye, A.J., R. Rustum, and I.D. Kariyama (2011). Neural Computing Modeling of the Reference Crop Evapotranspiration, Environmental Modelling and Software 29 (2012), 61-73.