Summary
AI practitioner, programmer, and project leader with over 5 years experience in machine learning applications and excellent project management skills. Previous works include edge computing CNN for sound recognition and object detection, random forest for radio frequency power spectrum anomaly detection, and DNN for network intrusion detection systems. I am a self-starter and natural leader with agile and pragmatic sensibilities. An excellent communicator on wide range of audience, developed through conference talks, publication and dissertation writing, as well as a casual teaching role.
I cook and bake on my spare time. I find recipes interestingly similar to coding, the ingredients are like variables and the cooking instructions like the procedures. Unfortunately, I can’t automate cooking and baking just yet. I did make a flowchart of making a stir fry for my husband. He now cooks for me every now and then.
Skills
Technical
Proficient in artificial neural networks implementation
Proficient in *NIX development environment
Familiar with multiple machine learning and data analytics algorithms
Gnuplot scripting for visualization purposes
Experienced in machine learning APIs and Framework such as scikit-learn and TensorFlow
Programming knowledge in C/C++, Java, and Python
Analytical and writing
Identify the relevant data to evaluate the predictive power of the proposed models
Application of cutting edge deep learning ensemble for more accurate predictive results
Interpret results from machine learning outputs, including the reasoning and the data properties behind them
Leading author of journal and conference publications
Writing weekly finding and analysis report
Regular reviewer for AI and machine learning conferences, which involves analyzing the suitability of submitted papers for publication-most recently ICPRAI 2018 and AusDM 2018
Organizational and Team work
Leading a diverse research and technical team
Leading author of journal and conference publications
Good project management skills resulting in multiple publications (full citations below)
Frequent collaboration with stakeholders and other researchers
Organizational skills developed from PhD candidacy, such as taking in feedback, coordinating co-authorships, and causal teaching position, such as attending meetings with the subject coordinators and other tutors, as well as reporting the student progress and contributing to the development of the subject
Communication and Presentation
Presented my research works in international conferences in Australia and abroad (ER 2015, AI 2016)
Communicating complex ideas and information in my causal teaching position to a range of students
Keeping the classroom organized and delivering the material has developed my interpersonal skills
Employment history
Machine Learning and data engineer
Jericho smart sensing lab
February 2020 - Present
I responsible for end-to-end machine learning implementation for the smart sensors develop within the lab such as optical, acoustic, and RF sensors. I also lead research and technical team to deliver deployable prototypes for sensor fusion, data analytic, and visualization platform.
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Machine Learning and data engineer
NSW Smart sensing networks
February 2020 - Present
I provide consultation to disover AI and machine learning opportunities for our industry partners and find relevant research partners within the network member universities to develop smart sensing technology for industry partners. Projects involved so far: sorting recycling, marine mamal observations, and mining tailings dam.
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research Associate
University of Wollongong
October 2019 - February 2020
I worked in collaboration with School of Physics to process Microbeam Radiation Theraphy (MRT) high dimensional energy deposition data for treatment planning. We were training Generative Adversarial Networks (GAN) to estimate the energy disposition for treatment planning. I was involved in pre-processing the data, exploring dimensional reduction methods.
Casual/seasonal teaching
University of Wollongong
February 2015 - June 2019
I started the role during my PhD studies, for the opportunities to give back the knowledge I have to the students. I worked with the subject coordinators and other casual teachers to deliver the weekly workshops, tutorials, or lab. I also marked assignments and give feedback on how the semester is going. The role really hone in my interpersonal and presentation skills, where I worked with the academic teams and having to explain concepts to an audience who may not come across them before. Most recently, I ran the workshop and laboratory for these subjects : (1) "Information Technology Security and
Risk Management" (2) "Data Mining and Knowledge Discovery"
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Education
Doctor of Philosophy (PhD)
A Robust Artificial Neural Networks (ANN) Ensemble Framework for Intrusion Detection Systems (IDS)
University of Wollongong, Wollongong, NSW, Australia
Graduated July 2019
Master of computer science
Network security
University of Wollongong, Wollongong, NSW, Australia
Graduated July 2013
Bachelor of computer science
Digital systems security
University of Wollongong, Singapore
Graduated April 2011
Publication
A. Saraswati, M. Hagenbuchner, & A. C. Tsoi. “Investigation in High Resolution Self-organising Map for Intrusion Detection Application”, 2021 (draft)
A. Saraswati, V. T. Nguyen, M. Hagenbuchner, & A. C. Tsoi. “High-resolution Self-Organizing Maps for advanced visualization and dimension reduction”, Neural Networks (105), pp. 166-184. Elsevier 2018.
A. Saraswati, M. Hagenbuchner, and Z. Q. Zhou, “High resolution som approach to improving anomaly detection in intrusion detection systems”, Australasian Joint Conference on Artificial Intelligence, pp. 191–199, Springer, 2016.
A. Saraswati, M. Hagenbuchner, and Z. Q. Zhou. “High Resolution Self-Organising Map Approach to Improving Anomaly Detection in Intrusion Detection Systems”. Poster presented at: School of Computing and Information Technology (SCIT) Trade Show, 2016 Oct 26, Wollongong, NSW
A. Saraswati, C.-F. Chang, A. Ghose, and H. K. Dam, “Learning relationships between the business layer and the application layer in Archimate models”, in Conceptual Modeling, pp. 499–513, Springer, 2015.
Awards
Best paper 2013
Graduate with distinction 2013
Graduate with distinction 2011
Contact
Location: Sydney, NSW