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.
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
Email: kedir.kayma@aastu.edu.et
College: Collage of Natural and Applied Science
Department: Food Science and Applied Nutrition
Academic Rank: Chief Technical Assistant
Qualification: Msc in Food Science and Nutrition
Research Interest: Food Science and Nutrition area, Health care
Publication: Ongoing
Email: mintesinot.degefu@aastu.edu.et
College: Engineering
Department: Software Engineering
Academic Rank: Senior Technical Assistant
Qualification:
Research Interest:
Publication:
Email: mohammed.zeinu@aastu.edu.et
College: College of Social Science and Humanities
Department: Social Sciences Division
Academic Rank:
Qualification: PHILOSOPHY
Research Interest: PHILOSOPHY
Publication: PHILOSOPHY
Email: natnael.nigussie@aastu.edu.et
College: Collage of Natural and Applied Science
Department: Mathematics and Physics
Academic Rank: Assistant Professor
Qualification: Ph.D.
Research Interest: Stochastic Programming; Multilevel Programming; Stochastic Multilevel Programming; Grey Theory; Travel Salesman Problem; Machine Learning
Publication: https://scholar.google.com.my/citations?user=0n-lk24AAAAJ&hl=en
Email: negussie.gashaye@aastu.edu.et
College: Engineering
Department: Civil Engineering
Academic Rank: Lecturer
Qualification: Hydraulic Engineering
Research Interest: My research interests focus on enhancing hydropower and irrigation technologies, hydrologic modeling, water supply and sanitation, water quality and treatment, watershed conservation, flood forecasting, and improving the design, construction, and operation of hydraulic structures.
Publication: Two submitted with peers and one published on AASTU conferences
Email: semir.ibrahim@aastu.edu.et
College: College of Social Science and Humanities
Department: Humanities Division
Academic Rank: Lecturer
Qualification: MSc in Exercise Physiology
Research Interest: Analysis on selected physical fitness and effect of technology on improvement of soccer players performance
Publication: ISSN 2231-3265 International Journal of Health, Physical Education and Computer Science in Sports Volume No.32, No.1pp88-91 Publication Impact Factor 5.115(http://www.ijhpecss.org/International_Journal_32.pdf)
Email: seyfu.tiruneh@aastu.edu.et
College: Engineering
Department: Mechanical Engineering
Academic Rank: Lecturer
Qualification: Mechanical Engineering (Mechanical Design)
Research Interest: Composite materials, mechanics, materials science, tribology, machine Design and Elements etc.
Publication:
Email: seyoum.getachew@aastu.edu.et
College: Engineering
Department: Electromechanical Engineering
Academic Rank: Lecturer
Qualification: MSc.in Mechanical (Thermal engineering) at Adama science and Technology University (2020). BSc. in Mechanical Engineering at Adama science and Technology University (2018).
Research Interest: Thermal fluids Engineering, Energy, Renewable energy systems, Thermal Energy Storage, Ref. and Airconditioning
Publication: https://doi.org/10.1155/2022/8478276