Mr Md Imam Hossain received a Bachelor of Mechanical Engineering degree from the University of Technology Sydney (UTS) in 2016.
Imam has a natural curiosity towards technical aspects and poses strong technical communication and management skills. At the age of 12, he started developing computer programs for fun. In 2015, he developed an OpenFlow network switch controller using C++ programming model, POSIX socket application programming interface (API) and Distributed Active Information Model (DAIM) model which has better throughput and latency performance than traditional controllers such as NOX and POX as well as designed simplistic and robust mechanical components for Automated Manual Transmission system rig found in the UTS FEIT Powertrain Test Rig. During the year 2016 and 2017, he developed a novel simulation platform within Blender software package for numerically simulating greyhound racing for the UTS greyhound racing welfare industry project. He was a tutor at (UTS) in the undergraduate mechanical engineering course Mechanical Vibration and Measurement. Currently, he is completing the Master of Engineering (Research) at the UTS.
Imam specialises in the following subject area:
1. Computer programming languages
2. Numerical computer simulation and modelling
3. Computer-aided design and modelling
4. Mechanical, kinematic and kinetic data acquisitions and analyses
5. Programmable devices, system automation, and sustainable systems
6. Software and web developments
Mr Md Imam Hossain was a graduate member of Mechanical College of Engineers Australia.
- Computer simulations and modellings
- Programmable devices
- System automations
- Sustainable systems
- Software and Web developments
- Data acquisition of mechanical systems
- Dynamic and distributed computer networks
- Operating Systems
- Mechanical Designs
Hossain, MI, Eager, D & Walker, P 2020, 'Greyhound racing ideal trajectory path generation for straight to bend based on jerk rate minimization', Scientific Reports, vol. 10, no. 1.View/Download from: Publisher's site
This paper presents methods for modelling and designing an ideal path trajectory between straight and bend track path segments for racing greyhounds. To do this, we numerically generate clothoid and algebraic curve segments for racing quadrupeds using a sequential vector transformation method as well as using a helper equation for approaching ideal clothoid segments that would respect greyhound kinematic parameters and boundary conditions of the track. Further, we look into the limitations of using a clothoid curve for racing dog track path design and propose a smooth composite curve for track transition design which roughly maintains G3 curvature continuity for smooth jerk to overcome limitations of a clothoid transition. Finally, we show results from race data modelling and past injury data, which provide a strong indication of clothoid curve segments improving the dynamics and safety of racing greyhounds while reducing injuries.
Hossain, MI, Eager, D & Walker, P 2019, 'Simulation of Racing Greyhound Kinematics', Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SCITEPRESS-Science and Technology Publications, Lda, Prague, Czech Republic, pp. 47-56.View/Download from: Publisher's site
This paper outlines greyhound dynamics results for yaw rate, speed, and the congestion pattern during a race derived through numerical modelling. The simulation results presented are also correlated to actual race data to validate modelling performance and reliability. The tasks carried out include the development of a numerical model for greyhound veering and race related supporting models, creating track 3D models replicated from actual survey data of the track, establishing a simulation environment that emulates an actual greyhound race, and the processing of both simulation and actual race data. The results show that greyhounds are susceptible to experience varying high acceleration in first five seconds into the race, during which a minimum average forward acceleration of 3.9 m/s2 was calculated, a peak yaw rate magnitude of 0.4 rad/s before the bend while transitioning into the track, and congestion during a race is affected by lure driving performance.
Mahdavi, F, Hossain, MI, Hayati, H, Eager, D & Kennedy, P 2018, 'Track Shape, Resulting Dynamics and Injury Rates of Greyhounds', Volume 13: Design, Reliability, Safety, and Risk, International Mechanical Engineering Congress and Exposition, ASME, Pittsburgh, Pennsylvania, USA.View/Download from: Publisher's site
Eager, D, Hayati, H, Mahdavi, F, Hossain, MI, Stephenson, R & Thomas, N 2018, Identifying optimal greyhound track design for greyhound safety and welfare-Phase II-Progress Report-1 January 2016 to 31 December 2017, UTS.
Hossain, MI UTS 2015, Mechanical Design and Optimisation for Automating Manual Transmission System, UTS.