The SET & SYSCOM HDR/ECR conference is an annual event held to showcase the latest research from post-doctoral fellows and HDR students. This year, the conference will take place on September 3–4, 2024, at UNSW Canberra at ADFA. It will feature parallel sessions organised thematically by research areas. Students and academics are welcome to attend, and registration and attendance are free.
Supervisors, please encourage your HDR students and postdoctoral fellows/associates to take advantage of this opportunity and participate in the conference. Presentation skills are crucial in both the research and industrial engineering worlds, making this the perfect chance for your HDR students and early-career researchers to gain invaluable experience.
The program will feature presentations and posters from the following themes:
School of Engineering and Technology:
School of Systems and Computing:
Day 1 | 3 September 2024 (Tuesday) | UNSW Canberra at ADFA
9:00 – 10:00 |
Registration (LT07, Building 32) |
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10:00 – 10:30 (LT07, Building 32) |
Opening Ceremony (HoS/Associate Dean Research) |
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10:30 – 11:30 (LT07, Building 32) |
Keynote lecture 1: Dr Jo Plested Deep learning and transfer learning for complex datasets |
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11:30 – 12:00 (SR07 / Open foyer) |
Morning Tea / Poster Session (SysCom & SET)
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HDR/ECR Presentation Sessions |
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Aeronautical (LT06) |
Computer Science / Cyber Security (LT07) |
12:00 – 12:15 |
A1 |Spatially Parallel Collision Scheme for Implementing DSMC in FPGAs - Saleen Bhattarai |
S1 | Knowledge Representation for Human-Swarm Teaming - Noha Abuaesh |
12:15 – 12:30 |
A2 | Scaling of separation length in conical shock wave boundary Layer interactions - Bikalpa Bomjan Gurung |
S2 | Graph based Anomaly Detection Approaches for Intrusion Detection - Nimesha Dilini Egodawaththa Arachchige |
12:30 – 12:45 |
A3 | Unsteady wake behind a cylinder in a supersonic flow - Akshay Kumar Nandhan |
S3 | A Two-Stage Model of Carbon Gaming and Multi-Objective Optimization in Global Supply Chains under Diverse Carbon Policies - YIFAN XIN |
12:45 – 13:00 |
A4 | A Numerical Method for Compressible Flows using Immersed-Boundary Lattice Boltzmann Method - VIGNESHWARAN RAJENDRAN |
S4 | Optimizing and Predicting Swarming Collective Motion Performance for Coverage Problems Solving - Reda Ghanem |
13:00 – 14:00 (SR07 / Open foyer) |
Lunch / Poster Session (SysCom & SET) |
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14:00 - 15:00 (LT07, Building 32) |
Keynote lecture 2: Bernard Edwards From Theory to Practice: Applying Business Acumen for Real Results |
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HDR/ECR Presentation Sessions |
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Aeronautical (LT06) |
Computer Science / Cyber Security (LT07) |
15:00 – 15:15 |
A5 | Enhancing Civilian Pilot "Mission" Projection Using Modern Flight Simulators - Alexander Somerville |
S5 | Towards Efficient Human-Swarm Teaming in Dynamic Environments Using Situation Awareness - Wasura Wattearachchi |
15:15 – 15:30 |
A6 | Bio-Inspired Flight for Martian Exploration - Nathan Widdup |
S6 | A Nature-inspired Robotic Perception and Control Pipeline (NRPCP) - Abhi Veda |
15:30 – 16:00 (SR07 / Open Foyer) |
Afternoon Tea / Networking |
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Day 2 | 4 September 2024 (Wednesday) | UNSW Canberra at ADFA
9:00 - 10:00 (LT07, Building 32) |
Keynote Lecture 3: Dr Rahul Shome Planning through research: Perspectives of a researcher in robotic planning |
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10:00 – 10:30 (SR07 / Open Foyer) |
Morning Tea |
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10:30 – 11:30 (LT07, Building 32) |
Keynote Lecture 4: Dr Pascal Bercher Reducing the Complexity of Success in Academia: A Guide for Young Researchers |
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HDR/ECR Presentation Sessions |
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Civil (LT06) |
Electrical (LT07) |
Mechanical / Electrical (LT08) |
11:30 – 11:45 |
C1 | Dynamic response and energy absorption of Fractal inspired porous structures - Madhusha Rukshan Bogahawaththa Piladuwa Bogahawaththage |
E1 | Distributed Charging Scheduling and Pricing Strategy for Plug-in Electric Vehicles Based on Stackelberg-Nash and Multi-Cluster Aggregative Games - Yuhao Jing |
M2 | Improving the ballistic performance of light-weight polymer composite body armour - Donna Capararo |
11:45 – 12:00 |
C2 | On the boundary conditions for Lagrangian plastic transport models - Charuni Wickramarachchige |
E2 | Enhancing Prosumer Engagement in Electricity Markets: A Novel Participatory Framework - Ashish Kumar Karmaker |
M3 | Effects of aspect ratio on the incipient motion of plastics in open-channel flows - Felipe Condo |
12:00 – 12:15 |
C3 | Predictive Modeling and Visualisation of Blast Loading on Structures Using Explainable Machine Learning Frameworks - Chamodi Widanage |
E3 | Bistable Origami for Reconfigurable Acoustic Metalens - Hai Le |
E5 | ResNet-Lite: On Improving Image Classification with a Lightweight Network - Md Shahriar Shakir Sumit |
| 12:15 – 12:30 | M1 | Analysis of micro injection and drilling systems of insects for application in targeted drug delivery - Yuvan Kamalakanthan | E4 | Optimal Control of Battery Energy Storage Systems using Learning-Based Approaches -Alaa Selim | E6 | Cascaded duct unit cell capable of independent phase and group delay control for broadband acoustic metalenses - Dingcheng Yang |
12:30 – 13:30 (SR07 / Open Foyer) |
Lunch / Social Networking / Poster Session |
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13:30 – 14:30 (LT07, Building 32) |
Keynote Lecture 5: Dr Olga Zinovieva Navigating Early-Career Success: Insights on the ARC DECRA application, building collaborations, and crafting a research profile |
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14:30 – 15:00 (LT07, Building 32) |
Celebrating Excellence: Closing Ceremony and Awards | ||
15:00 – 15:30 (SR07 / Open Foyer) |
Afternoon Tea / Social Networking |
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The following awards will also be presented at the conference for each school:
Conference Best Poster Award
Dr Jo Plested
Deep learning and transfer learning for complex datasets
Abstract:
This talk will cover the following:
It is designed for HDR students (and academics) with and without a background in deep learning. Topics will be covered conceptually without relying on any background knowledge of the mathematics of neural networks. The aim of the talk will be to support HDR students from the following categories in understanding how and when to apply deep learning, and in particular deep transfer learning, to achieve state-of-the-art results. The categories include those who:
Bio:
Jo Plested is an Associate Lecturer who has been researching deep learning for over 10 years. Her expertise is focused on transfer learning for small specialised datasets. Jo has received over $1.25 million in grant funding related to deep learning, and over $300,000 as chief investigator.
Jo created the new honours level course Deep Learning at UNSW Canberra and received high praise for the course. For three years, Jo lectured in and produced all course material and assessments for the deep learning section of honours and masters level courses “Neural Networks, Deep Learning and Bio-inspired Computing” for up to 250 students at the Australian National University.
Jo is currently is currently supervising four HDR students on deep learning related projects and she has supervised over 30 students doing Honours, Masters and Chief of Defence Force (CDF) one and two semester projects related to deep learning. She has mentored many more coursework students in research undertaken as part of her courses. Over 20 of these projects are published as high ranking international conference and journal papers.
Bernard Edwards
From Theory to Practice: Applying Business Acumen for Real Results
Abstract:
Bernard will outline the fundamental elements of Business Acumen and their applicability to industrial development. He has a range of practical examples of collaboration delivering results.
Biography:
Bernard is currently a Director of Oscillo Labs and the Head of Strategy and Business Development. He is an innovative problem solver who focuses on stakeholder needs using a model-based systems engineering approach to break down complexity, build value, and manage risk.
He has applied the lessons learnt from delivering four digital twin models for Army through the Capability Systems Centre at UNSW.
Previously he spent a delightful period delivering a range of capabilities for Army through Thales and of note, the introduction of Generic Vehicle Architecture into Hawkei was a standout.
During his military service, he was educated as a Technical Staff Officer, the foundation of his successful stints at Thales & UNSW. He believes that collaboration and a diversity of thought are the most critical ingredients in delivering innovation.
Dr Rahul Shome
Planning through research: Perspectives of a researcher in robotic planning
Rahul Shome is a tenure track lecturer in the School of Computing at the Australian National University. He is a researcher in Robotics & AI. He has worked with Prof. Lydia E. Kavraki as a postdoctoral research associate and Fellow of the Rice Academy at Rice University, Houston, USA. He earned his Ph.D. and M.S. degrees at Rutgers University, New Brunswick, USA advised by Prof. Kostas E. Bekris. He is a subject leader in robotic planning algorithms and has numerous robotics and AI publications. His work has garnered several best paper awards and nominations at top international conferences, among other recognitions. He has served on the organizing, chairing, and editorial boards at major international robotics conferences and journals, including ICRA, IROS, RSS, RA-L, and others.
Dr Pascal Bercher
Reducing the Complexity of Success in Academia: A Guide for Young Researchers
Abstract:
Navigating a PhD and building a career in academia usually involves both highs and lows; it can be an exciting yet also frustrating journey. While doing good research and getting it published remains a hard, tedious, and uncertain task, there are still various strategies one can deploy to make this journey a bit easier. This talk conveys some of these insights, such as the importance of building a strong network, or the benefits of paper reviewing. While this "guide" is based on my personal experiences — essentially extrapolating from one data point (so it should be interpreted with caution) — it aims to provide young researchers with a framework to craft their unique path to success, and find their own answers to important questions on how to design your own trajectory.
Bio:
Pascal Bercher is a Senior Lecturer and DECRA Fellow at the Australian National University. His research is mostly concerned with Hierarchical Task Network (HTN) Planning, a subfield of Artificial Intelligence (AI). He is interested in heuristic search, verification of produced solutions, and extending the framework with language features that are crucial for real-world applications, such as uncertainty and time. He is especially interested in modeling support, i.e., in autonomously helping a domain modeler with creating or correcting a domain model. In all these research directions, complexity investigations are often done as a first step -- to ensure a solid problem formalization and to give an indication about the right tools to attempt a given problem, based on its complexity. In addition to his research, he is passionate about teaching and mentoring students. Among other service roles at the ANU, he is currently an HDR cluster convenor for the Intelligent Systems cluster he is in (a group defined by academics and HDR students at the ANU working in the field of AI), responsible for organizing events to track and ensure the progress of HDR students in this cluster. He is also active in his research community, reviewing for most of the large AI and planning conferences (such as ICAPS, IJCAI, AAAI, and ECAI), as well as for several workshops and some journals each year. He also organized or co-founded several important events, such as an annual workshop on hierarchical planning (co-founder in 2018 and annual co-organizer), the HTN track in the International Planning Competition 2020 (co-founder), a Doctoral Consortium (in 2018), and a 1-week Summer School for HDR students (in 2024).
Dr Olga Zinovieva
Navigating Early-Career Success: Insights on the ARC DECRA application, building collaborations, and crafting a research profile
Bio:
I am a Lecturer in Mechanical Engineering and a Mechanical Engineering Program Coordinator in the School of Engineering and Technology (SET) at UNSW Canberra. Before coming to UNSW in 2022, I worked at the Airbus Endowed Chair for Integrative Simulation and Engineering of Materials and Processes (University of Bremen, Germany). My previous experience also includes work at the Russian Academy of Sciences, Tomsk Polytechnic University, and Tomsk State University (Russia), and visiting positions at UNSW Canberra, University of Bremen, Sao Paulo State University (Brazil), and Centre of Materials Mines ParisTech (France).
My research interests are in additive manufacturing, with the focus on multiscale modelling, computational materials science, and computational mechanics. My current research focuses on processing-microstructure-property relationships in metal 3D printing.
Benefits of attending the 2024 SET & SYSCOM HDR/ECR conference:
Showcase Your Research, Build Your Academic Profile, and Connect with Peers at the 2024 SET & SYSCOM HDR/ECR Conference
Vera McLuckie - Project Support Officer | School of Systems & Computing
Ania Svorad - Academic Support Officer | School of Engineering & Technology
Dr. Ali Ahrari - Lecturer | School of Systems & Computing
Dr. Sara Salim - Research Associate | School of Engineering & Technology
Dr. Bing Wang - Research Associate | School of Engineering & Technology
Dr. Kasun Wijesooriya - Research Associate | School of Engineering & Technology
Dr. Yuekai Xie - Research Officer | School of Engineering & Technology
Dr. Ripon Chakrabortty - Senior Lecturer | School of Systems & Computing
Dr. Edwin Peters - Research Fellow | UNSW Canberra Space
Farheen Akhtar - RSCH | School of Engineering & Technology
Hasin Md Muhtasim Taqi - RSCH | School of Systems & Computing
Rawoof Shaik - RSCH | School of Engineering & Technology
Sara Mohamed - RSCH | School of Systems & Computing
Uzzam Javed - Casual Academic | School of Systems & Computing
All post-doctoral fellows and HDR students who have passed their confirmation review are encouraged to attend this conference. HDR students, including those pursuing a Master's by Research or PhD degree.
Each presenter will have 12 minutes to present and 3 minutes for Q&A. An abstract of less than 300 words and the title of the presentation are required for registration.
Yes. In this version of the conference, you have the option to present your work as a presentation or a Poster. You have to indicate your presentation option in the registration form.
For all enquiries, please get in touch with Dr Yue Chen yue.chen4@unsw.edu.au or Dr Ismail Ali ismail.ali@unsw.edu.au.
