About ASCII Lab
Our research at ASCII Lab concentrates on developing Intelligent, Smart and Sustainable solutions for Construction and Infrastructure sectors through intelligent algorithms and immersive visualizations. We excel at combining smart algorithms, immersive 3D visualizations and in-depth data analysis with our knowledge of civil and structural engineering to deliver sustainable and intelligent solutions and optimizations to everyday industry problems. Our projects have been associated with various tier-1 building industry stalwarts that have shaped the skylines of Australian capital cities.
Research
Our research is based on three themes:
-
Sustainability
Research into recognition of construction and demolition waste composition using computer vision with deep convolutional neural networks.
-
Automation
Increasing productivity, reliability and economical viability by application of automation and visual representation of parameters in different phases of construction projects.
-
Multi-Disciplinary research
Investigating real-world issues surrounding construction and project management, workplace health and safety, energy efficiency and sustainable buildings to provide innovative and strategical solutions.
PhD Students
Alumni Members
-
Dr. Helamini Sandagomika
-
Dr. Vineet Prasad
Reach out
Positions for PhD students with scholarships
High caliber engineering students are welcomed to apply for PhD studies with ASCII Lab. Application will be looked upon favorably if the candidate:
- Graduated in the top 5% of cohort (GPA> 95%)
- Graduated from a recognised university
- Possess excellent written and verbal English skills
Potential research students are encouraged to contact A/Prof. Arashpour by sending an e-mail with:
- Title: "ASCII - PhD Applicant"
- Curriculum Vitae
- Copy of Transcripts
- Cover letter describing your interests and strengths and how they are aligned with research interests at ASCII lab.
Welcoming collaborations
ASCII Lab is open for collaboration, both from inside Monash University as well as organizations and researchers from outside Monash University. We like to work on complex real-world problems and would love to hear from you.
Collaborators
Professor Tim Dwyer
Professor Jayantha Kodikara
Professor Sudharshan Raman
Dr. Ahmed Kineber
Dr. Arnaud Prouzeau
Dr. Barrett Ens
Dr. Milad Bazli
Dr. Ali Rashidi
Dr. Elahe Abdi
Mr. Pedram Farnood Ahmadi