MrNazmus Sakib
Graduate Researcher
Faculty of Science Engineering and Built Environment/Institute for Intelligent Systems Research and Innovation
Orcid identifier0000-0002-7066-1571 (opens in a new tab)
- Graduate ResearcherFaculty of Science Engineering and Built Environment/Institute for Intelligent Systems Research and Innovation
- Geelong Waurn Ponds Campus, 75 Pigdons Road, Waurn Ponds, Victoria 3216
BIO
Life is short, isn't it? We often find ourselves rushing through time, chasing goals that might not leave a meaningful mark on society. As a dedicated computer scientist, I strive to contribute more than just accumulating citations over the years. I cherish the idea of making a lasting impact, creating innovations that benefit others and enrich our community. The true achievement in life is to be remembered for the positive changes we've made. So, let's pause, reflect, and choose to do what's best for others, leaving a legacy of kindness and progress.
DEAKIN UNIVERSITY CURRENT APPOINTMENT
- Graduate ResearcherDeakin University, Faculty of Science Engineering and Built Environment/Institute for Intelligent Systems Research and Innovation
DEGREES
- Doctor of Philosophy (PhD)Deakin University, Geelong, Australia26 Feb 2024 - present
- Masters of Science in CSEIslamic University of Technology, Dhaka, BangladeshJan 2019 - Mar 2023
- Masters in Business Administration (MBA)North South University, Dhaka, BangladeshJan 2011 - Aug 2013
- Bachelor of Science in CITIslamic University of Technology, Dhaka, BangladeshJan 2007 - Nov 2010
CERTIFICATIONS
- RHCEBASE Limited, Dhaka, BangladeshSep 2010 - Aug 2012Red Hat Linux System Essentials (RH 033), System Administration (RH 133) and Linux Networking and Security Administration (RH 253)
LANGUAGES
- EnglishCan read, write, speak, understand and peer review
- BengaliCan read, write, speak, understand and peer review
- ArabicCan read
- HindiCan speak and understand
FIELDS OF RESEARCH
- Electrical energy generation (incl. renewables, excl. photovoltaics)
- Modelling and simulation
- Artificial intelligence
- Deep learning
AREA/FACULTY
- Faculty of Science Engineering and Built Environment
DEPARTMENT/SCHOOL/INSTITUTE/DISCIPLINE
- Institute for Intelligent Systems Research and Innovation