Hussien Seid Worku
Email: hussien.seid@aastu.edu.et
College: Engineering
Department: Software Engineering
Academic Rank: Assistant Professor
Qualification: PhD in CSE
Research Interest: AI, NLP, Data Science, ANN, Software Engineering
Publication: [1] Ahmed, Mohammed Kemal, Durga Prasad Sharma, and Hussein Seid Worku. "Framework Design for Machine Learning Integrated Mobile Based Livestock Disease Data Management, Diagnosis, and Treatment." Journal of Survey in Fisheries Sciences 10.2S (2023): 1482-1494. [2] Mohammed Kemal Ahmed, Durga Prasad Sharma, Hussein Seid Worku, Getinet Yilma, Achim Ibenthal, Dharmveer Yadav (2024). Livestock Disease Data Management for E-Surveillance and Disease Mapping Using Cluster Analysis. Adv. Artif. Intell. Mach. Learn., 4 (1 ):1991-2013 [3] Mohammed Kemal Ahmed, Durga Prasad Sharma, Hussein Seid Worku, Ravindra Babu.B, Getinet Yima, Amir Ibrahim, Takele Beyene Tufa, “Leveraging Expert Knowledge for Mobile Livestock Care: Combining AHP and Naïve Bayes for Diagnosis, Treatment, and Management” in Communications on Applied Nonlinear Analysis, Vol. 31 No. 4s (2024) [4] Habtemariam, Getachew Mekuria, Sudhir Kumar Mohapatra, and Hussien Worku Seid. " Optimized Ensemble Learning for Software Defect Prediction with Hyperparameter Tuning" Journal of Theoretical and Applied Information Technology, 31st July 2024. Vol.102. No. 14. Pp 5628-5639 [5] Habtemariam, G. M. ., Mohapatra, S. K. ., & Seid, H. W. . (2024). Software reliability prediction using ensemble learning with random hyperparameter optimization. Review of Computer Engineering Research, 11(1), 1–15. https://doi.org/10.18488/76.v11i1.3597 [6] Habtemariam, G.M., Mohapatra, S.K., Seid, H.W. (2022). Prediction of Software Reliability Using Particle Swarm Optimization. In: Panda, M., et al. Innovations in Intelligent Computing and Communication. ICIICC 2022. Communications in Computer and Information Science, vol 1737. Springer, Cham. https://doi.org/10.1007/978-3-031-23233-6_11 [7] Habtemariam, Getachew Mekuria, et al. "A Systematic Literature Review of Predicting Software Reliability Using Machine Learning Techniques." Optimization of Automated Software Testing Using Meta-Heuristic Techniques (2022): 77-90 [8] S. F. Meko and H. S. Worku, "Stochastic Approximation Based Scheduling for RealTime Applications in Wireless Networks," in IEEE AFRICAN 20015, Addis Ababa, September. [9] H. Seid, B. Yegnanarayana and S. Rajendran, "Spotting glottal stop in Amharic in continuous speech," Computer Speech and Language, no. 26, p. 293–305, 2012.
Kebede Nigussie Mekonnen
Email: kebede.nigussie@aastu.edu.et
College: Collage of Natural and Applied Science
Department: Industrial Chemistry
Academic Rank: Associate Professor
Qualification: Ph.D. in Analytical Chemistry
Research Interest: Potentially toxic element and persistent organic pollutants (POPs) analysis in various matrices (factory effluents, aquatic environment, soil, sediment, plants, etc.); Pollution and its way of minimizing/controlling; Analysis/Characterization of food products and additives in foods; Recycling of wastes and usage of the pretreated wastes for other activities; Green analytical methods/techniques; Water quality analysis; Nanomaterials for detection of analytes.
Publication: 28
