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 simulation 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 specializes in the following subject area:
1. Computer programming languages
2. Numerical computer simulation and modeling
3. Computer-aided design and modeling
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 is currently a member of Mechanical College of Engineers Australia.
1. Computer simulations and modellings
2. Programmable devices
3. System automations
4. Sustainable systems
5. Software and Web developments
6. Data acquisition of mechanical systems
7. Dynamic and distributed computer networks
8. Operating Systems
9. Mechanical Designs
Hossain, MI, Eager, D & Walker, P 2019, 'Simulation of Racing Greyhound Kinematics', 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SciTePress, Prague, Czech Republic.View/Download from: UTS OPUS
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: UTS OPUS or 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.View/Download from: UTS OPUS