The staff member is a holder of a Ph.D. degree in mechanical engineering and registered graduate electromechanical engineer. The doctoral thesis was titled “Multi-Objective Optimization Approach to Energy-Saving Motion Trajectory Generation with High-Speed and High-Accuracy for Industrial Feed Drive Systems”. He is currently a lecturer in the mechanical and industrial engineering department at the College of Engineering and Technology, University of Dar es Salaam. His research experience includes work in the fields of multi-objective optimization and control engineering in the manufacturing industry. Other academic experience includes lecturing undergraduate and postgraduate courses in mechanical and production engineering and departmental coordination of postgraduate studies. The candidate has a demonstrated history of working in the electromechanical/mechatronics, energy and education management industries He is skilled in Skilled in AutoCAD, Solidworks, CircuitMaker, MATLAB®, Energy Engineering, Control Systems and CNC Programming.
Email:
Title: Industrial Crane Design and Control
Client: Kobelco Construction Machinery Advanced Crane Laboratory.
Role: Post-doctoral Researcher
Software/Technologies Used: MATLAB ®, Arduino, PASS-SBOXⅡ-LV, Motive Software
Duration: August 2024 to date
Contributions:
Title: Study on a Self-Driving Vehicle
Client: Musashi Seimitsu Industry Co., Ltd.
Role: Research Assistant
Software/Technologies Used: MATLAB ®, MS Visual Studio C++, CircuitMaker, Arduino
Duration: April 2019 to September 2021
Contributions:
Title: Design of Warehouse floor layout
Client: Songas Limited-Ubungo Power Plant
Role: Technical intern
Software/Technologies Used: AutoCAD
Duration: January 2015 to March 2015.
Contribution: Using AutoCAD, design concepts and embodiments of the warehouse floor plan were developed.
Title: Design and Installation of a Heating Subsystem for a Gas Turbine Compressor Wash Water System
Client: Songas Limited-Ubungo Power Plant
Role: Technical intern
Software/Technologies Used: AutoCAD
Duration: November 2014 to December 2014.
Contributions:
Kasilima, J., Nshama, E.W. and Ayeng'o, S.P., 2024. An Optimization Tool for a Standalone Photovoltaic System. Tanzania Journal of Engineering & Technology, 43(1). https://doi.org/10.52339/tjet.v43i1.968
Halinga, M.S., Nshama, E.W., Schäfle, T.R. and Uchiyama, N., 2023. Time and energy optimal trajectory generation for coverage motion in industrial machines. ISA transactions, 138, pp.735-745. https://doi.org/10.1016/j.isatra.2023.03.025
Nshama, E.W. and Uchiyama, N., 2021. Pareto Optimization of Cycle Time and Motion Accuracy in Trajectory Planning for Industrial Feed Drive Systems. IEEE Access, 9, pp.114104-114119. https://doi.org/10.1109/ACCESS.2021.3104935
Paing, M. S., Nshama, E. W., and Uchiyama, N. 2021. A kinematically constrained reparameterization approach to optimal time and jerk motion of industrial machines. IEEE Access, 9, 97843-97854. https://doi.org/10.1109/ACCESS.2021.3095847
Nshama, E.W., Msukwa, M.R. and Uchiyama, N., 2021. A trade-off between energy saving and cycle time reduction by Pareto optimal corner smoothing in industrial feed drive systems. IEEE Access, 9, pp.23579-23594. https://doi.org/10.1109/ACCESS.2021.3056755
Paing, M.S., Nshama, E.W. and Uchiyama, N., 2020, August. Motion trajectory estimation of a flying object and optimal reduced impact catching by a planar manipulator. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 920-925). IEEE. https://doi.org/10.1109/RO-MAN47096.2020.9223443
Nshama, E.W., Msukwa, M.R. and Uchiyama, N., 2019, July. Pareto Optimization of Energy and Tolerance in Motion Trajectory Generation for Industrial Feed Drive Systems. In 2019 American Control Conference (ACC) (pp. 842-847). IEEE. https://doi.org/10.23919/ACC.2019.8814368
Nshama, E.W. and Uchiyama, N., 2018, June. Time and energy optimal trajectory generation in feed drive systems using kinematic corner smoothing with interrupted acceleration. In 2018 26th Mediterranean Conference on Control and Automation (MED) (pp. 102-107). IEEE. https://doi.org/10.1109/MED.2018.8442532