Praneel Chand
PROFILE
PhD in Electronics and Computer Systems Engineering, with 10+ years’ experience in programming and software development of data-driven robotic systems. Proficient in programming languages such as MATLAB, Python, RapidMiner, and Visual Studio. Keen to learn new skills and solve complex problems in data science using machine learning.
SKILLS AND TOOLS
Machine Learning: MATLAB (Statistics and Machine Learning Toolbox, Deep Learning Toolbox), Python (scikit-learn, keras, numpy, pandas, matplotlib), RapidMiner Studio
User Interface Design: MATLAB, Visual Studio
Back End Development: MATLAB, Visual Studio (C++)
Data Visualisation: RapidMiner Studio, Python, Power BI
Soft Skills: Team player, Attention to detail, Deliver results
EXPERIENCE
Kings Own Institute - Sydney Campus, October 2023 – present
Senior Lecturer in IT (Business Analytics)
Experience: Leading and contributing to projects related to Al and data analytics
· Applied computer/machine vision and machine learning (deep learning) for object classification using MATLAB
· Contributed to development of machine learning models for indoor air quality data analysis. Monthly data obtained from air image sensors in Hamilton, New Zealand. Models built using RapidMiner Studio.
· Supervised the development of machine learning models from Mexico Covid data (sourced from Kaggle) to predict at-risk patients. Models built using RapidMiner Studio
Melbourne Institute of Technology - Sydney Campus, March 2023 – October 2023
Senior Lecturer in Data Analytics
Experience: Leading and contributing to projects related to Al and data analytics
· Applied computer/machine vision and machine learning (deep learning) for object classification using Python and MATLAB. Contributed to collection and cleaning of improvised IED images and electronic parts images.
· Generating pivot tables in Excel and visualising data from sample datasets such as weather (temperature), energy generation/usage, and sales.
Waikato Institute of Technology (Wintec), 2019 – 2023
Senior Lecturer in Engineering
Experience: Leading and contributing to projects on AI and robotics
· Developed MATLAB based control software for object handling/sorting using Niryo Ned robotic arm. Used computer/machine vision and machine learning (ANNs, SVMs, and deep learning) for object detection and recognition. More details at: https://sites.google.com/site/praneel12801/home/niryo-ned-robot-and-conveyor-control?authuser=0
· Mobile robot navigation and control programming using MATLAB
University of Waikato (UoW) and Victoria University of Wellington (VUW), 2004-2011
Doctoral Researcher
Experience: - Development of an Artificial Intelligence System for the Instruction and Control of Cooperating Mobile Robots
· Data-driven robotics
· Developed programming and calibration software for a digital compass using Visual C++. Screen layout at: https://sites.google.com/site/praneel12801/home/compass-calibration-program?authuser=0
· Developed MATLAB and Visual C++ GUI based programs for controlling real mobile robots (https://sites.google.com/site/praneel12801/home/mobile-robot-control-software-matlab-c?authuser=0 )
· Developed data-driven algorithms for assigning tasks to a team of robots and monitoring performance.
o https://www.sciencedirect.com/science/article/abs/pii/S0921889012001078
o https://www.sciencedirect.com/science/article/abs/pii/S0921889013002273
· Developed a MATLAB GUI based program for simulating the task execution of teams of robots.
EDUCATION
PhD in Electronics and Computer Systems Engineering, Victoria University of Wellington, New Zealand, 2011
Postgraduate Diploma in Engineering Technology, The University of the South Pacific, Fiji, 2002.
Bachelor of Technology, The University of the South Pacific, Fiji, 2000.
RELATED SCIENTIFIC PUBLICATIONS
Peer-reviewed Journal Articles
v Chand, P. A Low Resolution Used Electronics Parts Image Dataset for Sorting Application. Data, MDPI, 2023, 8(1), 20. https://doi.org/10.3390/data8010020.
Ø This article presents the data set and machine learning models (SVM, ANN, CNN) used for electronics parts detection. Implemented using MATLAB.
v Chand, P. and Lal, S. Vision-based Detection and Classification of Used Electronics Parts. Sensors, MDPI, 2022, 22(23), 9079. https://doi.org/10.3390/s22239079 .
Ø This article presents the development of the robotic system to sort electronics parts and details the implementation of the machine learning models (SVM, ANN, CNN) for parts classification. Implemented using MATLAB.
v Chand, P. and Carnegie, D. A. Towards a Robust Feedback System for Coordinating a Hierarchical Multi-Robot System. Robotics and Autonomous Systems, 2014, 62(2), 91-107.
Ø This article presents the data-driven method for assessing robot performance during task execution and coordinating multiple robots. Linear regression is used to detect and correct poor performance, partial failures, and complete failures.
v Chand, P., and Carnegie, D. A. Development of a Reduced Human User Input Task Allocation Method for Multiple Robots. Robotics and Autonomous Systems, 2012, 60(10), 1231-1244.
Ø This article describes the reduced input task allocation method. Fuzzy inference systems are used to simplify (reduce) numerical robot capabilities (i.e. descriptions of computing, sensing, and processing resources).
v Chand, P. and Carnegie, D. A. Mapping and Exploration in a Hierarchical Heterogeneous Multi-Robot System Using Limited Capability Robots. Robotics and Autonomous Systems, 2013, 61(6), 565-579.
Ø This article details an application of the developed MATLAB multi-robot simulator for mapping and exploration. Data from simulations was collected and analysed to assess robot performance and subsequently used in the task allocation method and feedback system articles listed above.
Peer-reviewed Conference Article
v Chand, P. Developing a Matlab Controller for Niryo Ned Robot. 2022 IEEE International Conference on Technology Innovation and its Applications (ICTIIA), 23 September 2022, pp. 1-5, doi: 10.1109/ICTIIA54654.2022.9935911.
Ø This paper details the development of the MATLAB based control software for the Niryo Ned robotic arm.
REFEREES