Dr. Solomon Amoah Owiredu is a Research Scientist in the Marine and Coastal  Division of the Council for Scientific and Industrial Research-Water Research Institute (CSIR-WRI), Ghana, with expertise in fisheries science, marine and freshwater ecosystems, environmental assessment, spatial fisheries management, ocean data science, marine pollution and climate-resilient fisheries management. Dr. Owiredu obtained his BSc in Oceanography and Fisheries from the University of Ghana in 2006, an MPhil in Fisheries Science from the University of Ghana in 2010, and a PhD in Fisheries Science from Jeju National University, Republic of Korea.

His work is driven by an interest in understanding the connections between aquatic ecosystems, environmental change, fisheries resources and the people whose livelihoods and food security depend on them. He has worked across Ghana’s rivers, reservoirs, wetlands, lagoons, estuaries, coastal and marine environments, complemented by advanced international research experience in the Republic of Korea. His research and professional experience spans both inland and marine systems. He has worked extensively on the Volta River and its fisheries, including environmental-flow requirements and the implications of the operation and re-optimization of the Akosombo and Kpong Dams for downstream fisheries. He has also monitored and assessed coastal lagoons, wetlands and estuaries, with particular interest in fisheries productivity, pollution, fish communities, nursery habitats, ecosystem functions and connectivity. Dr. Owiredu has undertaken environmental and sustainability assignments involving biodiversity protection, mining, illegal mining and aquatic-resource management. He has consulted for international mining companies in Ghana on biodiversity protection and environmentally responsible practices, assessed the ecological impacts of illegal mining on the Ankobra River, and contributed to initiatives aimed at enhancing fish production in small reservoirs for livelihood diversification in northern Ghana. He has also investigated marine pollution and fisheries-related debris, including derelict fishing gear, and the environmental impacts of fishing activities.

Research Interest

His research has strengthened his expertise in spatial fisheries science, geospatial analysis, vessel-tracking technologies, big-data analytics, statistical modelling and predictive approaches to fisheries assessment and management. His work integrates fisheries and ecological knowledge with emerging technologies. He has worked extensively with Automatic Identification System (AIS) vessel trajectories, fisheries catch and landing data, oceanographic variables and geospatial information, applying statistical approaches to understand the spatial and temporal dynamics of fishing activities and fishery resources. His work includes high-resolution CPUE standardization, fishing-effort estimation and catch allocation, with applications to fisheries assessment, marine spatial planning and evidence-based resource management.

His current interest is in the relationship between climate change, oceanographic variability, ecosystem dynamics, fisheries productivity and human livelihoods. He advocates for a transition toward adaptive, ecosystem-based and climate-resilient fisheries management that combines scientific evidence, spatial intelligence, technology and local knowledge. Beyond research, Dr. Owiredu has contributed to national and international ocean-science cooperation. He has served as Secretary to the Ghana National Committee of the Intergovernmental Oceanographic Commission (IOC) and as a member of the Committee. He is also a Ghana Steering Committee Member of the All-Atlantic Ocean Research and Innovation Alliance (AAORIA). He has coordinated consultancy and technical assignments for government institutions, non-governmental organizations and private-sector organizations within the fisheries–environment–sustainability nexus.

Refereed Journal Papers

1. Dankwa H. R., Quarcoopome T., Owiredu S. A., Amedorme E., (2016). State of fish and fisheries of Fosu lagoon, Ghana. Int. Journ. Fish. Aqua. Stud.; 4:2:259-264
2. Quarcoopome T., Owiredu S. A., (2016). Aspects of the fecundity of the black-chinned tilapia, Sarotherodon melanotheron in the Fosu Lagoon, Ghana. Journ. Gha. Sci. Assoc.
3. Owiredu, S. A., & Kim, K.-I. (2021). Spatio-Temporal Fish Catch Assessments Using Fishing Vessel Trajectories and Coastal Fish Landing Data from around Jeju Island. Sustainability, 13(24), 13841. https://doi.org/10.3390/su132413841
4. Owiredu, S. A., Kim, K. I., & Kim, B. Y. (2022). Seafloor litter generated by coastal and offshore fisheries operations in the South Sea of Korea. Marine Pollution Bulletin, 182, 113942. https://doi.org/10.1016/j.marpolbul.2022.113942
5. Onyango, S. O., Owiredu, S. A., Kim, K. I., & Yoo, S. L. (2022). A quasi-intelligent maritime route extraction from AIS data. Sensors, 22(22), 8639. https://doi.org/10.3390/s22228639
6. Owiredu, S. A., Onyango, S. O., Song, E. A., Kim, K. I., Kim, B. Y., & Lee, K. H. (2024). Enhancing Chub Mackerel Catch Per Unit Effort (CPUE) Standardization through High-Resolution Analysis of Korean Large Purse Seine Catch and Effort Using AIS Data. Sustainability, 16(3), 1307. https://doi.org/10.3390/su16031307
7. Song, E. A., Owiredu, S. A., & Kim, K. I. (2025). Automatic Identification System (AIS)-Based Spatiotemporal Allocation of Catch and Fishing Effort for Purse Seine Fisheries in Korean Waters. Fishes, 10(10), 531. https://doi.org/10.3390/fishes10100531

Edited Conference Papers

1. Owiredu, S. A., Kim, K. I., & Lee, J. S. (2021, February). Fishing Ship Gear Type Identification using Neural Network Technique. In: International Conference on Future Information & Communication Engineering (Vol. 12, No. 1, pp. 161-163).
2. Owiredu, S. A., Kim, K. I., Kim, B. Y., Yoo, S. L., & Song, E. A. (2022). Evaluation of the TAC system by estimation of catch per unit effort of Chub mackerel using catch and Large Purse Seine trajectory data. 2022 KOFFST International Conference: Fisheries Science in Pandemic Era, BEXCO, Busan, South Korea. 3-4 November 2022, pp 254-254.
3. Song, E. A., Kim, K. I., & Owiredu, S. A. (2022). Analysis of the effect of changes in the abundance of food on hairtail abundance in Korean waters. Academic Conference of the Aquaculture Division, Korean Society of Fisheries and Aquatic Science, 545-545.
4. Owiredu S. A., Kim K.-I., Jin S. L. Fishing ship gear type identification using neural network technique. International conference on Future Information and Communication Engineering. 2 February 2021.
5. Song, E. A., Owiredu, S. A., Kim, B. Y., Lee, K. H., Yoo, S. L., & Kim, K. I. (2023). A study on the estimation of the catch of large purse seine boat by combining AIS data and TAC catch data. Korean Society of Fisheries and Ocean Technology Conference, 497-497.
6. Owiredu S. A. (2014). Effects of Upwelling on Biological Production in the Gulf of Guinea Applications in Fisheries Management. In: UNESCO-IOC Proceedings of the African Summer School on the Application of Ocean Data and Modelling Products, Ghana, Kenya, April-September 2014. Aura S., Backeberg B., Bemiasa J., Folorunsho R., Jiang L., Kumar M. N., Lebehot A., Mahongo S., Odido M., Reed G., Shillington F., Samiksha S. V., (Eds.) Nairobi, UNESCO, 2015 (IOC Workshop Reports, 268).

Google Scholar

https://scholar.google.com/citations?user=O9r2PBUAAAAJ&hl=en

ResearchGate

https://www.researchgate.net/profile/Solomon-Owiredu