Dr. Nahina Islam
PhD (RMIT), MEng (LatrobeUni), BScEng(BUET), MACS, MIEEESenior Lecturer - ICT
School of Engineering and Technology
Institute for Future Farming Systems, Centre for Intelligent Systems
Dr. Islam works as a senior lecturer and researcher at the College of Information and Technology, Central Queensland University, Australia. She has a demonstrated record of teaching as well as research through several industry and government funded research grants, publications and achievements in the areas of green energy, artificial intelligence, Deep learning/machine learning-based applications, Internet of Things (IoT), smart farming, smart technologies, wireless communication etc. Additionally, She is the cluster lead of AI and data science research cluster of CQU's CML-NET research center. As one of the research leads of CML-NET and member of Institute for Future Farming Systems, she works with research teams that have excellent industry linkages and proven extension strategies to promote the adoption of research findings. Nahina is also working as a reviewer and track chair of different renowned international journals and conferences. She is a member of different professional bodies such as IEEE, ACS, IEEE Women in Engineering. She is a committee member and webmaster of IEEE Victorian Section and IEEE VIC IoT community. She holds a Doctor of Philosophy (PhD) in Telecommunication Engineering from RMIT University, Masters in Electronic Engineering from Latrobe University and Bachelor degree in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET).
Background
Dr. Islam completed her PhD from RMIT University in 2017, Masters in Electronic Engineering from Latrobe University in 2012 and Bachelor degree in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET) in 2009. Her PhD research topic was ‘Energy Efficient Wireless Communication’, where she proposed energy efficient algorithms for terrestrial networks as well as Aerial base stations (UAVs). She developed a reinforcement learning (i.e. Markov decision process) based decision making algorithm towards an energy efficient system. This algorithm was applied to different applications, such as, to design energy-efficient base stations in terrestrial communication network and Aerial network; and to take energy efficient and delay aware handover decision in LTE-A heterogeneous network. Currently, she is working on several industry and government funded projects on the area of data analytics, IoT, image processing and Artificial Intelligence (AI). Her research work is focused on various applications of AI and IoT-based smart farming and smart environment.
Universities Studied At
Bachelor of Science in Electrical and Electronic Engineering, Bangladesh University of Engineering and technology, Bangladesh.
Masters in Electronic Engineering, Latrobe University, Australia.
PhD in Communication Engineering, RMIT University, Australia.
Universities Worked At
Sessional academic, RMIT University, Australia.
Research Assistant, Monash University, Australia.
Sessional academic, Charles Sturt University, Australia.
Lecturer, Melbourne Institute of Technology, Australia.
Awards
- My journal paper 'Early Weed Detection Using Image processing and Machine Learning Techniques in an Australian Chilli Farm' received the best paper award in Agriculture Journal in 2021.
- Group winner award and overall (overall Australia) winner in 5- minute research pitch at CQU 2019.
- Won the 2nd price in 3-minute thesis competition at SECE research day, RMIT’ 2014.
- Scholarship from DATA61, CSIRO, Australia for pursuing PhD.
- RPS (RMIT PostGraduate Scholarship) Scholarship from SECE, RMIT University for pursuing PhD.
- Scholarship (Tuition fee waiver 2011-2012) from LaTrobe University for Master degree, Melbourne.
- Deans Scholarship for excellent academic results. (from Bangladesh University of Engineering & Technology).
Previous teaching
Professional Memberships
Member of Australian Computer society (ACS)
Member of IEEE
Computer Software
Prog Languages: Python, C/C++, Embedded C, Java, MATLAB, Verilog, MySQL, SQLite, MS Access ▪ Professional Word Processing: MS word, Latex, Tex ▪ General Office Software: MS Project, Visio, Word, PowerPoint; Adobe Photoshop ▪ Software: PSPICE, Quartus, NIOS, CST, Altium, CelPlanner, Labview. ▪ Statistical Analysis: MS Excel
Editor
Guest Editor, Special Issue “Artificial Intelligence and Automation in Sustainable Smart Farming” in Remote Sensing (Impact factor 4.509, Scopus Cite score 6.1), Deadline for Submissions: 31 August 2020.
https://www.mdpi.com/journal/remotesensing/special_issues/AI_smart_farming
Artificial Intelligence-Enabled Secure Signal Processing and Connectivity for Autonomous Sensors (AI-SSPCAS)
Grant: Competitive Grant (Category 2: Other Public Sector)
Funding Scheme: CSIRO Data61 Next Generation Graduates Program Grant - Regional Stream THROUGH RMIT
Total Funding: $1,406,943.00
Development of Artificial intelligence (AI) algorithms for detection and growth stage classification of Chinee apple and Navua Sedge weeds based on UAV captured imageries
Grant: Contract Research (Category 2: Other Public Sector)
Funding Scheme: Department of Agriculture and Fisheries (DAF) Queensland - Development of AI Algorithms - Contract Research
Total Funding: $2,700.00
Implementing AgTech in large scale herb crop production
Grant: Contract Research (Category 3: Industry and Other)
Funding Scheme: Contract Research - Botanical Food Company Pty Ltd - Implementing AgTech in large scale herb crop production
Total Funding: $42,000.00
Artificial Intelligence driven internet of Drones for targeted weed spraying (EATP 038)
Grant: Competitive Grant (Category 2: Other Public Sector)
Funding Scheme: Emerging Aviation Technology Partnerships Program: Round One
Total Funding: $447,607.00
SeaGrow: Native Nurseries to Support Large Scale Seagrass Restoration
Grant: Competitive Grant (Category 3: Industry and Other)
Funding Scheme: Great Barrier Reef Foundation Blue Carbon Grant 2022
Total Funding: $1,340,360.00
SEAD: Seagrass enhancement via Ariel Drones
Grant: Competitive Grant (Category 3: Industry and Other)
Funding Scheme: Australian Ethical Foundation - Project funding
Total Funding: $90,909.00
NB2: Assessing practical interventions to reduce calf wastage and herd mortality in northern systems (P.PSH.1314)
Grant: Competitive Grant (Category 1: Aust Competitive Grant)
Funding Scheme: Meat & Livestock Australia Donor Company MLA-DC
Total Funding: $577,660.00
Accreditation
I am currently accredited for supervision in the following:
- 4602 Artificial intelligence
- 4605 Data management and data science
- 4611 Machine learning
Current Capacity
Current Supervision
Artificial Intelligence and Image Processing - Image Processing
Communications Technologies - Wireless Communications
Internet of Things (IoT), Machine learning, deep learning, Image Processing, Smart farming
