Complex Data-driven Predictive Modeling in Personalized Clinical Decision Support for Acute Coronary Syndrome Episodes. - Alexey V. Krikunov; Ekaterina V. Bolgova; Evgeniy Krotov; Tesfamariam M. Abuhay; Alexey N. Yakovlev; Sergey V. Kovalchuk (ICCS, 2016)

Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory. - Tesfamariam M. Abuhay; Sergey V. Kovalchuk; Klavdiya O. Bochenina; George Kampis; Valeria V. Krzhizhanovskaya; Michael Harold Lees (ICCS, 2017)

Data through the Computational Lens. - Sergey V. Kovalchuk; Tesfamariam M. Abuhay; Ilkay Altintas; Michael L. Norman; Michael Harold Lees; Valeria V. Krzhizhanovskaya; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2017)

Analysis of publication activity of computational science society in 2001-2017 using topic modelling and graph theory. - Tesfamariam M. Abuhay; Sergey V. Kovalchuk; Klavdiya Bochenina; Gali-Ketema Mbogo; Alexander A. Visheratin; George Kampis; Valeria V. Krzhizhanovskaya; Michael Harold Lees (J. Comput. Sci., 2018)

Constructing Holistic Patient Flow Simulation Using System Approach. - Tesfamariam M. Abuhay; Oleg G. Metsker; Aleksey N. Yakovlev; Sergey V. Kovalchuk (ICCS (4), 2020)

Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients Using Data-Driven Network Analysis. - Tesfamariam M. Abuhay; Yemisrach G. Nigatie; Oleg G. Metsker; Aleksey N. Yakovlev; Sergey V. Kovalchuk (ICCS (4), 2020)

Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis. - Tesfamariam M. Abuhay; Yemisrach G. Getinet; Oleg G. Metsker; Alexey N. Yakovlev; Sergey V. Kovalchuk (CoRR, 2020)

Identifying Risk Factors and Predicting Food Security Status using Supervised Machine Learning Techniques. - Melaku Alelign; Tesfamariam M. Abuhay; Adane Letta; Tizita Dereje (ICT4DA, 2021)

Investigate Risk Factors and Predict Neonatal and Infant Mortality Based on Maternal Determinants using Homogenous Ensemble Methods. - Tizita Dereje; Tesfamariam M. Abuhay; Adane Letta; Melaku Alelign (ICT4DA, 2021)

Why Machine Learning Integrated Patient Flow Simulation? - Tesfamariam M. Abuhay; Adane Letta Mamuye; Stewart Robinson 001; Sergey V. Kovalchuk (CoRR, 2021)

Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods. - Dawit Shibabaw Bogale; Tesfamariam M. Abuhay; Belayneh Endalamaw Dejene (BMC Medical Informatics Decis. Mak., 2022)

Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm. - Belayneh Endalamaw Dejene; Tesfamariam M. Abuhay; Dawit Shibabaw Bogale (BMC Medical Informatics Decis. Mak., 2022)

Machine learning integrated patient flow simulation: why and how? - Tesfamariam M. Abuhay; Stewart Robinson 001; Adane Letta Mamuye; Sergey V. Kovalchuk (J. Simulation, 2023)

Large Language Models for Sexual, Reproductive, and Maternal Health Rights. - Walelign Tewabe Sewunetie; Assefa Beza; Hailemariam Abebe; Tesfamariam M. Abuhay; Wasyihun Admass; Hayat Hassen; Tsion Haile; Hana Hailemariam; Lydia Debebe; Nurlign Moges; Nathnael Bekele; Surafel Luleseged Tilahun; et al. (ICHI, 2024)

Evolution of the computational science community: The dynamics of topics and collaborations in 24 years of ICCS and JoCS publications. - Lijing Luo; Klavdiya Bochenina; Tesfamariam M. Abuhay; Nachyn Dorzhu; George Kampis; Sergey V. Kovalchuk; Valeria V. Krzhizhanovskaya; Maciej Paszynski; Clélia de Mulatier; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2025)

Applications and challenges of simulation for healthcare operations management in Africa. - Tesfamariam M. Abuhay; Mihret W. Tereda; Lomi E. Adane; Malefia D. Melesse; Stewart Robinson 001 (J. Oper. Res. Soc., 2025)