Dr. Tanveer Choudhury
Senior Lecturer, Mechatronics
Dr Tanveer Choudhury is a Lecturer in mechatronics engineering at Federation University Australia. Dr Choudhury’s expertise is in applying artificial intelligence and machine learning techniques for predictive modelling and the design and development of control systems.
Tanveer’s research covers a diverse range of disciplines including materials and surface engineering, mechanical engineering, water engineering, geotechnical engineering, mining engineering, and biomedical engineering. His research also focuses on robotics and automation, and he is actively working on developing an intelligent novel mobile robot navigation algorithm and applying the Internet of Things to develop smart power inverter and water quality monitoring systems.
Tanveer holds a PhD in engineering from Swinburne University of Technology, and worked for two years as a radio-frequency engineer at Ericsson, where he was involved with various large-scale telecommunication projects in Bangladesh, Kenya, Benin and the Ivory Coast.
CEREI: An open-source tool for Cost-Effective Renewable Energy Investments
Online State-to-State Time-Optimal Trajectory Planning for Quadrotors in Unknown Cluttered Environments
Superiority of artificial neural networks over conventional hydrological models in simulating urban catchment runoff
Use of Artificial Intelligence Modelling for the Dynamic Simulation of Urban Catchment Runoff
Wireless Underground Sensor Communication Using Acoustic Technology
A Depth-Based Hybrid Approach for Safe Flight Corridor Generation in Memoryless Planning
Comparative Assessment of Artificial Neural Networks and RORB Model in Simulating Catchment Runoff: A Case Study of East Melbourne
Depth-based Sampling and Steering Constraints for Memoryless Local Planners
Prediction of secant shear modulus and damping ratio for an extremely dilative silica sand based on machine learning techniques
Review of water quality monitoring using Internet of Things
Agoraphilic navigation algorithm in dynamic environment with obstacles motion tracking and prediction
This paper presents a new algorithm to navigate robots in dynamically cluttered environments. The...
Agoraphilic Navigation Algorithm under Dynamic Environment
This paper presents a summary of the work done on the development of a new algorithm for mobile...
Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Behavioral Modeling and Cognitive Assessment in Smart Textiles
Smart textiles for improved quality of life and cognitive assessment
The Agoraphilic Navigation Algorithm under Dynamic Environment with a Moving Goal
Evaluating the Performances of the Agoraphilic Navigation Algorithm under Dead-Lock Situations
This paper presents a summary of the research which was conducted in developing a new free-space...
Study on Short-Term Streamflow Forecasting using Dynamic Artificial Neural Networks
Agoraphilic Navigation Algorithm in Dynamic Environment with and without Prediction of Moving Objects Location
This paper presents a summary of research conducted in performance improvement of Agoraphilic...
Comparative study on object tracking algorithms for mobile robot navigation in GPS-denied environment
This paper presents a comparative study conducted on the performance of the commonly used object...
Development and Bench-marking of Agoraphilic Navigation Algorithm in Dynamic Environment
This paper presents a summary of research which was conducted in developing a new human-like...
Prediction of Parallel Clay Cracks Using Neural Networks – A Feasibility Study
Cracking in drying clay soil is a common phenomenon especially in arid and semi-arid regions....
Exploring the Application of Artificial Neural Network in Rural Streamflow Prediction - A Feasibility Study
Streams and rivers play a critical role in the hydrologic cycle with their management being...
Non-functional regression: A new challenge for neural networks
This work identifies an important, previously unaddressed issue for regression based on neural...
Prediction of Clogging in Stormwater Filters Using Artificial Neural Network
Stormwater filtration technologies play a significant role in improving water quality and making...
Tire Size Identification Using Extreme Learning Machine Algorithm
Precise tire size identification is needed to increase the efficiency and the reliability of tire...
Enhancing solar power generation using gravity and fresh water pipe
The unsustainable nature of fossil fuels and conventional mass energy generation methods has...
Industry-led mechatronics degree development in regional Australia
This paper presents a technique that was used in the recent development of a new Mechatronics...
Novel tire inflating system using extreme learning machine algorithm for efficient tire identification
Tire inflators are widely used all around the word and the efficient and accurate operation is...
Optimum grasp force and resistance to slippage
This paper presents an analysis and experimental results as part of the research into the optimal...
A Study and Review on Vehicle Suspension System and Introduction of a High -Bandwidth Configured Quarter Car Suspension System
Friction-based slip detection in robotic grasping
Friction-based slippage and tangential force detection in robotic grasping
Modular implementation of artificial neural network in predicting in-flight particle characteristics of an atmospheric plasma spray process
This paper presents a modular implementation of an artificial neural network to model the...
New artificial intelligence based tire size identification for fast and safe inflating cycle
Optimal sensing requirement for slippage prevention in robotic grasping
Study and Comparison on Linear Electromagnetic Shock Absorbers among other Available Intelligent Vibration Dampers
Study and Review on Vehicle Suspension Control Theories and Introduction of Novel Adaptive Skyhook Control System
An Extreme Learning Machine Algorithm to Predict the In-flight Particle Characteristics of an Atmospheric Plasma Spray Process
A robust single hidden layer feed forward neural network (SLFN) is used in this study to model...
Applicability of artificial neural network in hydraulic experiments using a new sewer overflow screening device
During wet weather conditions, sewer overflows to receiving water bodies raise serious...
Improving the Generalization Ability of an Artificial Neural Network in Predicting In-Flight Particle Characteristics of an Atmospheric Plasma Spray Process
This paper presents the application of the artificial neural network into an atmospheric plasma...
Artificial Neural Network application for predicting in-flight particle characteristics of an atmospheric plasma spray process
Thermal spray consists of a group of coating processes that are used to apply metal or...
Artificial Neural Networks for the prediction of the trapping efficiency of a new sewer overflow screening device
Some of the major concerns regarding sewer overflows to receiving water bodies include serious...
Using Artificial Neural Network to Predict the Particle Characteristics of an Atmospheric Plasma Spray Process
Thermal Spray is a general term for a group of coating processes used for metallic or...