Dr.. Jeremiah Osei-Kwakye is an Assistant Lecturer in the Department of Information Technology Studies at the University of Professional Studies, Accra (UPSA). His areas of expertise include Computational Intelligence, Optimization Using Metaheuristics—particularly the Particle Swarm Optimization (PSO) algorithm—and Machine Learning. His research focuses on developing innovative hybrid optimization techniques and machine learning models to solve complex computational problems.

Dr. Osei-Kwakye has contributed extensively to the field of computational intelligence and machine learning through several high-impact publications in reputable international journals, including Applied Intelligence (Springer), Engineering Applications of Artificial Intelligence (Elsevier), Connection Science, and Discover Computing.

His recent works explore hybrid optimization methods, diversity-enhanced algorithms for feature selection, geometric deep learning models for recommender systems, and applications of artificial intelligence in next-basket recommendation systems.

Selected recent publications include:

• Jeremiah Osei-Kwakye, Fei Han, Alfred Adutwum Amponsah, Qing Hua Ling, Timothy Abeo Apasiba. A diversity-enhanced hybrid particle swarm optimization and crow search algorithm for feature selection. Applied Intelligence (Springer) April 2023 1:26 1573-7497 [DOI: 10.1007/s10489-023-04519-2]

• Jeremiah Osei-Kwakye, Fei Han, Alfred Adutwum Amponsah, Qing Hua Ling, Timothy Abeo Apasiba. A Hybrid Optimization Method by Incorporating Adaptive Response Strategy for Feedforward      Neural            Connection      Science      2022.  [DOI: 10.1080/09540091.2021.2025339]

• Arthur, J. K., Zhou, C., Shen, X. J., Amber-Doh, R. W., Osei-Kwakye, J., & Mantey, E. A. (2024). Temporal dual-target cross-domain recommendation framework for next basket recommendation. Discover Computing, 27(1), 50.[DOI: 10.1007/s10791-024-09479-w]

• John Kingsley Arthur, Conghua Zhou, Jeremiah Osei-Kwakye, Eric Appiah Mantey, Yaru Chen. A heterogeneous couplings and persuasive user/item information model for Next Basket recommendation. Engineering Applications of Artificial Intelligence (Elsevier) 2022 [DOI: 10.1016/j.engappai.2022.105132]

• John Kingsley Arthur, Conghua Zhou, Eric Appiah Mantey, Jeremiah Osei-Kwakye, Yaru Chen. A  Discriminative-Based  Geometric  Deep  Learning  Model  for  Cross  Domain Recommender Systems. Applied Sciences 2022. [DOI: 10.3390/app12105202]

• Alfred Adutwum Amponsah, Fei Han, Qing-Hua Ling, Jeremiah Osei-Kwakye, Ernest Bonah. An improved multi-leader comprehensive learning particle swarm optimization based on the gravitational search algorithm. Connection       Science       [DOI:10.1080/09540091.2021.1900072]

• John Kingsley Arthur, Ronky Francis Doh, Eric Appiah Mantey, Jeremiah Osei-Kwakye. Complex Network-based   Recommender      International   Journal   of   Computer Applications 2019. [DOI:10.13140/RG.2.2.35225.77924].

• Dai, B., Addai-Dansoh, S., Nutakor, J. A., Osei-Kwakye, J., Larnyo, E., Oppong, S., … & Arboh, F. (2022). The prevalence of hypertension and its associated risk factors among older adults in Ghana. Frontiers in Cardiovascular Medicine, 9, 990616. [DOI: 10.3389/fcvm.2022.990616]

• Addai-Dansoh, S., Dai, B., Larnyo, E., Aseye Nutakor, J., Osei-Kwakye, J., Arboh, F., … & Boadu, B. (2024). The Effect of Social Determinants of Health on Psychological Health Among Older Adults in Ghana. Journal of Gerontological Social Work, 1-20. [DOI: 10.1080/01634372.2024.2340732]

• Addai-Dansoh, S., Nutakor, J. A., Larnyo, E., Arboh, F., Boahemaa, P. Y., & Osei-Kwakye, J. (2022). Prevalence of Falls among Older Adults in Africa: A Meta-Analysis.[ DOI:10.32628/IJSRST229537]