INTERNSHIP OPPORTUNITYUNIVERSITY OF

WOLLONGONG (UOW)AUSTRALIA

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AgendaGet to know Wollongong Wollongong – where is it? University of Wollongong (UOW) Decision Systems Lab (DSL)Project ThemesInternship InformationLiving Information

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Get to knowWOLLONGONG!A place to belong

3Full info: https://documents.uow.edu.au/content/groups/public/@web/@unia/documents/doc/uow259088.pdf

https://documents.uow.edu.au/content/groups/public/@web/@unia/documents/doc/uow259088.pdf

Wollongong City

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• Coastal city situated between the mountains and the Tasman Sea

• Close to major cities (i.e. Sydney and Canberra) but calm (not too busy)

• Filled with walking trails, wildlife and breath-taking lookout points

• Perfect place for international students

2.4 km

from campus

to the beach

University of Wollongong (UOW)

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Website: https://www.uow.edu.au/

• High reputation for modern young university

• Outstanding research quality & impact• Excellent campus experience• Safe & Secure

https://www.uow.edu.au/

Decision Systems Lab (DSL)

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Website: http://www.dsl.uow.edu.au

SMART building

• Join DSL lab at UOW under Visiting Research Student Program(https://www.uow.edu.au/study/study-abroad-exchange/studyabroad/study-options/)

• Duration: June – Mid August• Work with

Assoc. Prof. Hoa Khanh Dam(https://documents.uow.edu.au/~hoa/)

• To tackle interesting topics in SE• Work at SMART building

http://www.dsl.uow.edu.au/https://www.uow.edu.au/study/study-abroad-exchange/studyabroad/study-options/https://documents.uow.edu.au/~hoa/

Project Themes

Artificial Intelligence for Software Engineering

Artificial Intelligence for Cybersecurity Engineering

Engineering AI-powered Systems (AI Engineering)

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Artificial Intelligence for Software EngineeringProject descriptions:As software products become pervasive in all areas of our society, building high-quality software in a productive manner becomes crucial to the software industry. The rise of Artificial Intelligence (AI) is potentially a game changer in improving software quality, accelerating productivity and increasing project success rates.

This project theme is to explore and develop AI-powered capabilities (e.g. algorithms, models and prototype tools) which can assist software teams in some specific areas of software development (e.g. requirements, design, implementation, testing and maintenance and evolution).

This AI support can be in various forms, from automating routine tasks to providing project analytics and actionable recommendations, and even making decisions for software development teams.

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Artificial Intelligence for Cybersecurity EngineeringProject descriptions:Cyberattacks are one of the greatest existential threats to national security, economy and society. Cyberattacks are often formed by exploiting vulnerabilities in software applications.

Existing techniques and tools for security analysis are no longer able to cope with the significant increase in the size and complexity of applications, resulting in a massive number of attack-prone vulnerabilities reported in recent years.

This project theme is to explore and develop a novel set of AI-powered automated solutions which tackling security vulnerabilities throughout the software lifecycle. We will develop AI machine learners that are capable of recognizing vulnerability threats (e.g. detect malwares in apps or detect vulnerabilities in code) and suggesting fixes for the detected vulnerabilities.

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Engineering AI-powered Systems (AI Engineering)Project descriptions:Artificial Intelligence (AI) has started making a substantial impact to many parts of our society. However, engineering reliable AI systems that are deployed in industrial settings is still challenging for many organisations.

AI Engineering covers a broad range of many activities such as: creating/evolving Machine Learning/Deep Learning models, assembling datasets, training and testing models, setting up date pipelines, integrating models and components, reusing pre-developed models, managing multiple models, and data quality management.

This project theme is to explore new solutions to address challenges that are unique to AI Engineering, including AI architectures, interpretability, representation, scalability and verification and validation for AI assurance.

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Eligibility for UOW Internship

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1. 3rd year students (preferable from SE, CS track)2. Interested in applying AI to tackle problems in SE and

Cybersecurity3. Cum. GPA >= 3.254. Have a strong programming skill5. Good English writing and speaking skills6. Strong commitment on continuing his/her research to

achieve a substantial output (e.g., a publication) after finishing the internship.

Deadline: 24 Jan 2020

Eligibility for UOW Internship

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7. The students may be asked to continue his/her internship research project as a senior project.

8. For those who are interested in joining the program, but GPA is lower than 3.25, you can send an application with the supports of the qualification (e.g. one-page proposal, evidences showing that you are capable enough to survive).

9. No. of acceptances: Max 310.Scholarships: can apply Undergraduate Student

Mobility Program 2020 from Mahidol University (http://bit.ly/USMP2020)

http://bit.ly/USMP2020

Application timeline

Application deadline:24 January 2020

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Interview:DATE

Internship period:June – Mid August

2020

Second Interview:DATE

Remark:

Qualified students may require a second round of interview with Hoa.

Free shuttle bus

- around campus

- between campus

and city

Transport in UOW

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Accommodation & Cost of Living in UOW

1515Live on campus: https://www.uow.edu.au/study/accommodation/live-on-campus/

Cost of living: https://www.uow.edu.au/study/move/costofliving/

1. On campus

Average Living cost Monthly (AUD)

On campus $1,460

Off campus $1,800

2. Off campushttps://flatmates.com.au/

https://www.uow.edu.au/study/accommodation/live-on-campus/https://www.uow.edu.au/study/move/costofliving/https://flatmates.com.au/

Contact Person: Software Engineering Research Unit (SERU) Team

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Dr. Morakot Choetkiertikul

Email: morakot.cho@Mahidol.ac.th

Dr. Chaiyong Ragkhitwetsagul

Email: chaiyong.rag@mahidol.ac.th

Asst. Prof. Dr. Thanwadee Sunetnanta

Email: thanwadee.sun@Mahidol.ac.th

Contact Person: Decision Systems Lab (DSL)

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Assoc. Prof. Hoa Khanh Dam

Don’t worry! I’ll be there• As a PhD student

• Research topic: Privacy-aware

software and information systems

Let’s visit

me

Does anyone have any questions?

Thanks!