Mr. Vineet Vishaal Prasad
Dr. Vineet Vishaal Prasad
Vineet is a doctoral candidate in the Automation & Sustainability in Construction and Intelligent Infrastructure (ASCII) Lab at Monash University. He graduated with a Bachelor of Engineering in Electrical & Electronics from University of the South Pacific (Fiji) in 2019 with a gold medal. He received his Master of Science in Engineering degree in 2021 for his research on developing advanced parametric identification algorithms for nonlinear control systems using fractional calculus. His current multidisciplinary research at Monash concentrates on developing intelligent, smart and sustainable solutions for construction and infrastructure sectors through artificially intelligent algorithms and immersive visualizations. Concurrently, he also serves as an Assistant Lecturer in the Department of Civil Engineering, contributing to effective teaching delivery, curriculum development and assessment within the department.
Qualifications
- M.Sc. (Engineering), University of the South Pacific, Fiji
- B.Eng (Electrical & Electronics) - Gold Medallist , University of the South Pacific, Fiji
Expertise
- Intelligent Control Systems
- Infrastructure Computer Vision and Pattern Recognition
Research Interests
Our multidisciplinary research at ASCII Lab investigates real-world issues surrounding construction and project management, workplace health and safety, energy efficiency and sustainable buildings to provide innovative and strategical solutions. Our projects have been associated with various tier-1 building industry stalwarts that have shaped the skylines of Australian capital cities. My current focus is enhancing recognition and recovery of recyclables from construction and demolition waste streams using advanced computer vision techniques.
Optimally leveraging depth features to enhance segmentation of recyclables from cluttered construction and demolition waste streams
V Prasad, M Arashpour
Journal of Environmental Management 354, 120313 (2024)
Modeling and parametric identification of Hammerstein systems with time delay and asymmetric dead-zones using fractional differential equations
V Prasad, U Mehta
Mechanical Systems and Signal Processing 167, 108568 16 (2022)
Identification scheme for fractional Hammerstein models with the delayed Haar wavelet
K Kothari, U Mehta, V Prasad, J Vanualailai
IEEE/CAA Journal of Automatica Sinica 7 (3), 882-891 24 (2020)
Parametric identification of nonlinear fractional Hammerstein models
V Prasad, K Kothari, U Mehta
Fractal and fractional 4 (1), 2019
Teaching Commitments
- CIV5899 - Infrastructure information management
- ENG5200 - Engineering project risk management
- ECE4132 - Control system design