A5069308642- Vehicle Routing Optimization Methods
- Optimization and Packing Problems
- Advanced Manufacturing and Logistics Optimization
- Mobile Ad Hoc Networks
- Optimization and Search Problems
- Advanced Graph Theory Research
- Scheduling and Timetabling Solutions
- Opportunistic and Delay-Tolerant Networks
- Scheduling and Optimization Algorithms
- Advanced Radiotherapy Techniques
- graph theory and CDMA systems
- Energy Efficient Wireless Sensor Networks
- Constraint Satisfaction and Optimization
- Satellite Communication Systems
- Medical Imaging Techniques and Applications
- Organ Donation and Transplantation
- Assembly Line Balancing Optimization
- Radiation Therapy and Dosimetry
- Caching and Content Delivery
- Graph Labeling and Dimension Problems
- Facility Location and Emergency Management
- Photovoltaic System Optimization Techniques
- Software Reliability and Analysis Research
- Multi-Criteria Decision Making
- Human Motion and Animation
Deakin University
2016-2025
The University of Melbourne
2000
To achieve carbon neutral by 2025, Deakin University launched a AUD 23 million Renewable Energy Microgrid in 2020 with 7-megawatt solar farm, the largest at an Australian University. A web-based digital twin (DT) is developed to provide operators intelligence and insights through several AI-driven capabilities. Accurate computationally efficient power generation prediction one of critical elements this DT. end, we researched literature identified commonly used Machine Learning-based models...
Abstract Introduction In post‐prostatectomy radiotherapy to the prostatic bed, consistent bladder volume is essential maintain position of treatment target volume. We assessed differences between readings from a portable scanner ( BS ‐ V ) and those obtained planning CT or cone‐beam CBCT ). Interfraction variation was also determined. Methods ‐V recorded before after . The percentage using two imaging modalities, standard deviations 95% confidence intervals were Data analysed for whole...
Summary Modern satellite communication systems are required to serve heterogeneous and geographically dispersed user demands with limited resources. In this paper, we investigate methodologies for dynamic resource allocation in Geosynchronous Earth Orbit (GEO) High‐throughput Satellite (HTS) systems. We designed three solution approaches FlexBeamOpt v1 , v2 v3 each as a hybridization of custom heuristics, integer linear programming, and/or constraint programming. test the performance on 12...
Abstract The Asymmetric Travelling Salesman Problem with Replenishment Arcs (RATSP) is a new class of problem arising from work related to aircraft routing. This paper describes the and presents heuristic approaches for solving RATSP. We use simulated annealing obtain feasible solutions, hence, upper bounds on optimum value, solve Lagrangean dual using subgradient optimization method lower bounds. While previous methods failed optimal solutions some classes after 2 h computation time,...
In this paper, we introduce an exact method based on constraint programming ideas for a combinatorial optimization problem that arises from the treatment planning of intensity-modulated radiotherapy—the minimum cardinality (MCP). The MCP is to find decomposition given integer matrix into weighted sum binary matrices with consecutive ones, such number minimised. We compare our two recent methods same and special case problem. Numerical results are presented indicate computationally more...
Security is a major challenge in Opportunistic Networks (OppNets) due to its characteristics of being an open medium with dynamic topology, there neither centralized management nor clear lines defence. A packet dropping attack one the security threats OppNets as source nodes destination have any knowledge when or where will be dropped. In this paper, we present novel and detection mechanism against special type malicious node drops more injects new fake instead. Our very powerful has high...
The real-time clustering of short text streams has various applications, such as event tracking, summarization and sentimental analysis. However, accurately efficiently is challenging due to the sparsity problem (i.e., limited information comprised in a single document leads high-dimensional sparse vectors when we represent texts using traditional vector space models), topic drift fast generated streams. In this paper, provide an effective Evolutionary Word relation Network for...
We address the problems of multiple criteria decision-making and multiobjective optimization in which are mutually dependent. A practical application land combat vehicle selection its potential extension to force design for Australian Defence is considered. The dependencies modeled formalised using theory fuzzy measures. main challenge an exponentially large set parameters that quantify all interactions. develop a number strategies 1) simplify model construction reduce parameters; 2) elicit...