Faculty of Science 2

Doctor of Philosophy

ASADI, Yasamin

Thesis Title

Social Technologies to Support Older Adult Connection and Wellness: How Older Adults Can Form Healthy, Trust-based Relationships With AI-driven Digital Companions

Supervisors

• Adjunct Professor Margot Brereton (Principal Supervisor)
• Associate Professor Alessandro Soro (Associate Supervisor)
• Dr Aloha Ambe (Associate Supervisor)
• Dr Sirinthip Roomkham (Associate Supervisor)
• Dr Mahnoosh Kholghi (External Supervisor)

Citation

This thesis explores how older adults living independently engage with AI-enabled social technologies designed to support social connection and wellbeing. Through three qualitative studies involving technology probes, co-design workshops, and online community participation, the research examines how trust, companionship, anonymity, and emotional safety shape digital interactions. Findings show that older adults view AI companions as supportive tools rather than replacements for human relationships. The thesis contributes three conceptual models (the Cycle of Trust, Anonymity–Identity Continuum, and Anonymous Intimacy and Reciprocal Trust framework) to guide the design of trustworthy, inclusive, and emotionally safe social technologies for older adults.

EGBE, Dominic Afuro

Thesis Title

Co-Designing Relational Technologies with People with Mild Dementia to Support Personhood and Social Participation

Supervisors

• Adjunct Professor Margot Brereton (Principal Supervisor)
• Associate Professor Alessandro Soro (Associate Supervisor)
• Associate Professor Bernd Ploderer (Associate Supervisor)
• Dr Andrew Bayor (External Supervisor)

Citation

This thesis investigated how relational technologies could support social engagement and reinforce personhood among people with mild dementia. Using a participatory qualitative approach across three studies, it examined relational challenges in informal caregiving, social participation in Memory Café settings, and the potential of AI voice assistants to facilitate meaningful conversation. The findings revealed key relational needs, evolving social roles, and design opportunities for supporting identity and social connection. The research contributed empirical insights and design frameworks for Human–Computer Interaction, including the co-designed LetsTalk voice assistant, advancing relation-centred technological approaches that promoted personhood, inclusion, and social well-being in dementia care.

FU, Qiang

Thesis Title

Hybrid Approach for Non-Continuous Data Classification and Clustering: Integrating Self-Organization Maps, Granular Computing, and Contrastive Learning

Supervisors

• Professor Yuefeng Li (Principal Supervisor)
• Professor Richi Nayak (Associate Supervisor)

Citation

This thesis addresses the challenge of analysing and learning from discrete and categorical data, which traditional machine learning methods struggle to handle effectively. It proposes new encoding and learning approaches that significantly improve clustering and classification performance for this type of data. The research develops novel methods that transform discrete data into meaningful representations using fuzzy logic and granular computing. It introduces new techniques for clustering and classification, enhanced by contrastive learning and automated optimisation. Experiments show clear improvements in accuracy and data understanding, making these methods useful for real-world applications involving complex, non-continuous data.

HE, Zhipeng

Thesis Title

Building Adversarially Robust Predictive Systems for Tabular Data

Supervisors

• Associate Professor Chun Ouyang (Principal Supervisor)
• Professor Alistair Barros (Associate Supervisor)
• Dr Catarina Pinto Moreira (External Supervisor)

Citation

This thesis develops methods to improve the reliability of machine learning systems that process structured data in domains such as healthcare, finance, and security. It examines how small changes to input records can cause these systems to make incorrect decisions, and establishes new ways to define, measure, and defend against such vulnerabilities. The research proposes a set of properties that describe what makes such changes realistic in structured data, where each field carries specific meaning and constraints. It then benchmarks existing learning methods against these properties and introduces a new technique using generative modelling that produces more realistic test cases.

HSIEH, Chihcheng

Thesis Title

Human-Centred Multimodal Deep Learning Models for Chest X-Ray Diagnosis

Supervisors

• Adjunct Associate Professor Catarina Pinto Moreira (Principal Supervisor)
• Associate Professor Chun Ouyang (Associate Supervisor)
• Adjunct Professor Margot Brereton (Mentoring Supervisor)

Citation

Chest X-rays are a cornerstone of clinical diagnosis, yet current AI systems often overlook the patient information that radiologists rely on. This thesis develops multimodal and human-centred AI methods that integrate chest X-rays with clinical data to improve diagnostic accuracy and real-world reliability. This thesis introduces a new dataset combining imaging, clinical records and eye-tracking, proposes deep learning models that fuse these modalities, and develops language-model-based techniques to generate missing clinical features. Together, these contributions advance trustworthy, context-aware medical AI for deployment in clinical practice.

LAW, Hui Eng

Thesis Title

Indexing and Search of Extreme-Scale Genomic Collections

Supervisors

• Associate Professor James Hogan (Principal Supervisor)
• Associate Professor Dimitri Perrin (Associate Supervisor)

Citation

As biological sequence repositories continue to expand, existing indexing methods struggle to balance search accuracy, scalability, and storage efficiency, particularly for long and highly similar sequences. This thesis develops WOMBAT, a hierarchical probabilistic indexing framework that improves clustering quality and retrieval performance while substantially accelerating query time on large-scale biological datasets. The study introduces chunk-MMW minimiser signatures, the Minimiser Bloom Tree (MBT), and a two-stage design that combines global filtering with selective refinement. Across simulated and real datasets, the framework demonstrates a practical balance between discrimination, index size, and computational cost, supporting faster, scalable search for biological sequence collections.

MILLER, Thomas Julian

Thesis Title

Decentralising Trust and Information Symmetry: Seeking Retrospective Common Knowledge in Blockchain Enabled Supply Chains

Supervisors

• Associate Professor Xavier Boyen (Principal Supervisor)
• Professor Marcus Foth (Associate Supervisor)
• Dr Shoufeng Cao (External Supervisor)

Citation

This thesis explores how blockchain technology improves trust and efficiency in supply chains, particularly for small and medium enterprises. By combining distributed ledger technology with financial principles, the research developed practical frameworks including a live financial instrument backed by real assets. A key theoretical contribution is "Retrospective Common Knowledge," explaining how blockchain creates shared understanding among participants after events occur. The work addresses data accuracy challenges through multi-party verification and demonstrates practical applications in the beef supply chain, showing how blockchain reduces miscommunication and enables better coordination in global trade.

MOLAN, Stephen Robert

Thesis Title

Fire, Fauna and Management Interventions: Understanding Biodiversity and Functional Group Responses to Fire Regimes in a North Queensland Tropical Savanna

Supervisors

• Dr Daniella Teixeira (Principal Supervisor)
• Professor Susan Fuller (Associate Supervisor)
• Dr Ayesha Tulloch (Associate Supervisor)

Citation

This thesis examined how fire shapes vertebrate communities in tropical savannas by integrating a global systematic review with empirical studies at Yourka Reserve, Australia. The meta-analysis showed that fire impacts are generally trait- and season-mediated for mammals and birds. Field studies using camera traps and acoustic monitoring showed that ecological responses varied with habitat structure, species traits, and fire context, with prescribed burns being much more benign than incidental wildfire. Overall, fire-driven heterogeneity and biological traits jointly structure savanna vertebrate communities, and should be considered in future fire management.

OM, Chimi

Thesis Title

Co-Designing Tangible Technology to Enhance Nature Engagement and Support Environmental Sustainability in Early Childhood Education

Supervisors

• Adjunct Professor Margot Brereton (Principal Supervisor)
• Associate Professor Bernd Ploderer (Associate Supervisor)
• Dr Tshering Dema (Associate Supervisor)
• Dr Kellie Vella (Associate Supervisor)
• Karen Murcia

Citation

This thesis investigates how preschool children can be involved in understanding and responding to environmental sustainability. By working with children and educators across three early childhood education centres in Brisbane, the research contributes a novel research method and interactive tangible technology designs to playfully engage young children in making sense of environmental problems. The findings are summarised in a practical framework to guide educators and designers in supporting young children’s early environmental problem-solving, curiosity, and connection to the natural world.

ORTH, Tamara

Thesis Title

A Bridge Between Care and Code: An Inquiry into Human-Centred AI in Intensive Care Decision-Making

Supervisors

• Associate Professor Dimitri Perrin (Principal Supervisor)
• Professor David Lovell (Associate Supervisor)
• Dr Aloha Ambe (Associate Supervisor)

Citation

This thesis investigates how Artificial Intelligence and Machine Learning (AIML)-based clinical decision support systems can be designed to align with intensive care clinicians’ values and needs. It takes a value-sensitive and tension-aware approach, showing how tensions in ICU decision-making signal complexity, potential trade-offs and limitations of AIML support. Insights gained from interviews and prototyping demonstrate that AIML based tools are most supportive when contextually anchored, integrated into existing workflows, and positioned as a tool that complements existing processes and devices. Within data science, this research offers a relational, context-sensitive and tension-aware approach of thinking for problem formulation.

OUYANG, Leyi

Thesis Title

Understanding Young Children's Musical Engagement with Interactive Digital Technologies

Supervisors

• Associate Professor Bernd Ploderer (Principal Supervisor)
• Dr Sarah Matthews (Associate Supervisor)
• Professor Daniel Johnson (Associate Supervisor)
• Distinguished Professor Susan Danby (Associate Supervisor)

Citation

This thesis contributes to understanding how digital technologies such as digital toys, smart speakers, and tangible devices can support young children’s engagement in early music education. Based on observations in an early learning centre, this thesis established a framework outlining four forms of technology engagement: multisensory musical exploration, pretend musical play, social musical play, and musical self-expression. This framework is significant for design researchers seeking to create meaningful technology interactions that enable children to explore sound, interact with peers, and express themselves musically. For early childhood educators, this thesis offers practical guidance on using digital technologies to scaffold learning experiences.

SCHMITZ, Carl Eric

Thesis Title

Investigating the Challenges Facing the CRISPR-Cas Guide Design Process

Supervisors

• Associate Professor Dimitri Perrin (Principal Supervisor)
• Professor Christopher Drovandi (Associate Supervisor)
• Dr Jacob Bradford (Associate Supervisor)

Citation

This thesis examined the challenges faced by bioinformatics tools used in CRISPR based gene editing. It identified computational speed and analytical accuracy as key limitations, and demonstrated how specialised data structures and uncertainty aware deep learning methods helped address these challenges. The thesis also highlighted the versatility of these bioinformatics tools and showed how they could be adapted for a wider range of CRISPR based applications.

TANG, Qiaotong

Thesis Title

An Exploration Into the Nature of Curiosity

Supervisors

• Dr Andrew Gibson (Principal Supervisor)
• Professor Peter Bruza (Associate Supervisor)

Citation

This thesis introduces a bold new conceptualisation of curiosity based on principles from quantum cognition. The work resolves a long-standing division between the experiential and epistemic aspects of curiosity, by proposing they form a unified phenomenon where accessing one influences the other in a quantum-like way. Not only does the research present a unified model for the first time, it establishes a new direction for theoretical and empirical exploration into the fundamental nature of curiosity.

WANG, Yue

Thesis Title

A Deep Learning-Based Knowledge Discovery Framework for Evolving Cyber Threat Landscape

Supervisors

• Professor Richi Nayak (Principal Supervisor)
• Dr Md Bashar (Associate Supervisor)
• Dr Mahin Chandramohan (External Supervisor)

Citation

As cyberattacks grow more frequent and complex, organisations need faster ways to understand emerging digital threats. Much of today’s early cyber threat information appears in unstructured online sources such as social media, blogs, and forums, which are difficult to analyse at scale. This thesis develops new text mining methods for cyber threat knowledge discovery, enabling the automatic identification, organisation, and analysis of large volumes of online security information. By transforming raw online discussions into structured and actionable knowledge, this research helps cybersecurity professionals detect emerging risks earlier and respond more effectively in a rapidly evolving digital landscape.

WEI, Jia

Thesis Title

Integrating IoT Data into Business Process Event Logs for Context-aware Analytics

Supervisors

• Associate Professor Chun Ouyang (Principal Supervisor)
• Emeritus Professor Arthur ter Hofstede (Associate Supervisor)
• Dr Catarina Pinto Moreira (External Supervisor)

Citation

This research explores how IoT technology can improve business processes, given its increasing adoption across industries. Business process execution data is commonly stored in event logs, which are essential for analysing process performance. However, IoT data and event logs are maintained in different systems and at different granularities, making direct integration for analysis challenging. This thesis focuses on identifying IoT data that is relevant to business processes and integrating it into event logs. The resulting IoT-enriched event logs enable process analysis and provide a foundation for the real-time data integration required by digital twins of real-world processes.

ZHU, Zhengduo

Thesis Title

Quantitative Motion Analysis of the Left Atrium in Patients with Atrial Fibrillation from Cardiac CT

Supervisors

• Professor Yuchu Tian (Principal Supervisor)
• Professor Zhiyong Li (Associate Supervisor)

Citation

Atrial fibrillation affects millions of people and damages the heart’s left atrium, but current scans cannot clearly measure how this chamber moves and deforms during each heartbeat. This thesis developed and validated a new computer-based method to accurately track left atrial motion from four-dimensional cardiac CT images. Using an advanced image analysis technique called Digital Volume Correlation, the research improved motion tracking stability, handled large deformations over time, and increased accuracy near complex heart boundaries. The framework provides a non-invasive way to measure atrial function and may support better diagnosis and treatment planning for patients with atrial fibrillation.

Undergraduate

Bachelor of Games and Interactive Environments (Animation)

• DANG, Duc Anh

Bachelor of Games and Interactive Environments (Game Design)

• GOODWIN, Kyle
• HENVILLE, Samuel George
• HO, Alex
• MOLLISON, Edward James
• NASH, Liam
• SHEE, Alexander Xin Xin
• SPENCER, Laurence Charlie Cullen
• WIGHTMAN, Jack Patrick

Bachelor of Games and Interactive Environments (Software Technologies)

• BLEACH, Jose Vincent Zhi Xiang
• LEESI, Laura Kai
• SHUM, Kwok Ho

Bachelor of Games and Interactive Environments (Animation) – with Distinction

• LAANSMA, Parker Wesley McDonald

Bachelor of Games and Interactive Environments (Game Design) – with Distinction

• ANDERSON, Michael Colin
• LIM, Giveson

Bachelor of Games and Interactive Environments (Software Technologies) – with Distinction

• BOWES, Cameron Joseph
• ST PIERRE, Izaac

Bachelor of Business (Marketing)/Bachelor of Games and Interactive Environments (Game Design) – with Distinction

• SANDOR, Zerend Laszlo

Bachelor of Business (Management) – with Distinction/Bachelor of Games and Interactive Environments (Game Design) – with Distinction

• TRACEY, Janak Anton Mikahl

Bachelor of Games and Interactive Environments (Software Technologies)/Bachelor of Mathematics (Applied and Computational Mathematics)

• PROCTER, George William

Postgraduate

Graduate Certificate in Communication for Information Technology

• DULAL, Smriti
• KUNARETHINAM, Maruthi

Graduate Certificate in Computer Science

• CHEN, Jimmy
• FEDRICK, Lewis
• KAY, Matthew Brian
• MCCANN, James Edward
• TATLIDIL, Pelin
• WOODHAM, Charles Steven

Graduate Certificate in Cyber Security and Networks

• HARI, Rijil
• MACNAUGHTON, David James
• MALONEY, Liam Francis
• MCGRATH, Elliott William
• MCMICHAEL, Stewart David
• PURVES, Euan David
• SCHMIDT, Wayne Ronald
• WHEELER, Pierre Vuni

Graduate Certificate in Information Technology

• ALI, Muzaffar
• ARCH, Paul Mathew
• BACKHOUSE, Sean Edward Joseph
• BEAVER, David John
• BIZIMANA, Ladislas
• BUITENDACH, Joshua Howard Joubert
• BUSTAMANTE BALLESTEROS, Juan Carlos
• CAMERON, Benjamin John
• CHEKANENKO, Aleksei
• CHOI, Hyun Jeong
• DAWSON, Campbell Macauley
• DINH, Trung Thanh
• FAN CHIANG, Wen Yu
• FEDRICK, Keryn Lorraine
• GUNDERS, Matthew Russell
• HANSON, Beau Allan Keith
• HAYNES, Vanessa Mae
• HICARTE, Clark Jacob Aquino
• JOHNSON, Samuel Phillip
• KONG, Laurel Doreen
• LAWES, Jamie Aaron
• LEE, Chungkwan
• LEWIS-DRIVER, Joshua Phillip
• LIN, Shulan
• MARTIN, Isaac Alexander
• MCCOOK, Andrew James
• MEDEN, Joanne Maree
• MOHAMED, Osama Abdelmuniem Mohamed Elkhair
• MOHD FAIRUZ, Hikmah
• MOREY, Kylie Terri
• NGUYEN, Cung Hoang Huy
• NGUYEN, Minh Tri
• PAPAPAVLOU, Pavlos
• PARKER, Emily Catherine
• PATEL, Khushboo Ishan
• PEI, Henghui
• QIN, Yuxin
• RICKETTS, Jordan Fraser
• ROBINSON, Guy Lindsay
• SACILOTTO, Sebastian
• SADLER, Scott Benjamin
• SHAUSAN, Aminath
• SMITH, Adrian Charles
• SYED, Azamuddin
• TAYLOR, Blake
• TOMLINS, Zane Andrew
• TULLY, Carson James
• UGWUMBA, Amarachi Judith
• VASILIOU, Simone Marie
• WALTERS, Rebecca Mary
• WINCHESTER, Spencer Ernest
• WORSLEY, Adrian Douglas
• ZHAO, Zhichao

Graduate Certificate in Information Technology Practice (Cyber Security and Resilience)

• BEUTEL, Cooper James Macquarie
• GALLICHAN, Keirilyn Anne
• MCKAY, Sara Alexandra

Graduate Certificate in Information Technology Practice (Data Analytics)

• CHANAKIRA, Trevor James Tapfuma
• KAMALI, Aydin Hasip Aikin
• NIELSEN, Jake Morgan
• PATEL, Heena
• RODRIGUEZ SIERRA, Yesica Alejandra
• SCHAIDHAUER VERDI, Thayna

Graduate Certificate in Information Technology Practice (Web Development)

• BAEK, Jin A
• BUTLER, Andrew Craig
• LEARY, David William
• OTA, Saki
• SHIN, Sangmin
• WALLACE, Emilia Madeleine
• ZHANG, Hua

Graduate Diploma in Information Technology

• BURGESS, Rhys Michael
• WEMYSS, Ethan

Graduate Diploma in Information Technology (Business Analysis)

• ADAMS, Stephen Player
• LAI, Man Yee
• PURDIE, Daniel John
• VALENTINE, Elizabeth
• WONG, Li Yen

Graduate Diploma in Information Technology (Computer Science)

• ADHIKARI, Satarupa
• AZUMBRADO, Luke
• BARGH, Christopher Ian
• BISHOP, Matthew James
• CHOI, Ka Yik
• COOMBES, Alexander Ross
• CURTEANU, Maria
• DEBENHAM, Andrew
• DICKERSON, James Alexander
• DOBSON, Zach
• FULLER, Mitchell John
• GRIFFIN, Teancum Edward Ariki
• IM, June Goo
• JAENSCH, Jackson Arthur
• LU, Qiuquan
• MAZUR, Eugenia
• PALA, Rahul
• PILLAI, Arun Govind
• SCHAEFER, Elisabeth
• SIM, Georgia Louise
• TON, Alex
• VOLTZ, David Nigal
• YOUNG, Alasdair Marnham

Graduate Diploma in Information Technology (Cyber Security and Networks)

• CAMPBELL, Alistair Gordon
• CATT, Danielle May
• COCKS, Jason Matthew
• CROFTON-BROOKS, Samuel Caleb
• CURRAN, Dominic Michael
• EAMES, Jason Alan
• GABRIEL YAK, David
• HANCOCK, Zachary Lucas
• KARIMI, Amina Maree
• MACPHERSON, Myles Joseph
• MARTIN, Liam
• MILIC, Anna-Mia
• MONNIER, Declan Thomas
• MURRAY, Xavier
• SHAW, Matthew Paul

Master of Artificial Intelligence

• LE, Thanh Tu
• PHILIPS, Flavian
• SAMALA, Dileep

Master of Cyber Security

• TRUSCOTT, Connor Peter

Master of Data Analytics (Biomedical Data Science)

• CLIBBON, James Samuel Victor

Master of Information Technology (Artificial Intelligence)

• HE, Yuntan
• HSIEH, Hsin-Yii
• LEE, Hang Chi
• PATEL, Dipkumar Sanjaykumar
• PATEL, Meetkumar Rameshbhai
• PATEL, Yash
• RAVI, Mothish Kanna
• TANGUB, Vijay
• ZHU, Kefu

Master of Information Technology (Business Analysis)

• AU, Hin Yue
• BAN, Gilmin
• NAVEEN, Niveditha
• NISCHAL, Nickhil
• SINGH, Vratika
• WANG, Ao
• YUEN, Chin Lam

Master of Information Technology (Business Process Management)

• ALI, Ahmed
• FATIMA, Maheen
• ZBIKOWSKI, Cameron Ross

Master of Information Technology (Computer Science)

• APAIPAKDEE, Chayanich
• CARRASCO MARTINEZ, Tzasna Alethia
• CHIANG, Lu-Nung
• DUHS, Rachael Chloe
• GUNATHILAKA, Pavindu Roshan
• GUO, Chengxin
• HU, Lingbo
• HUANG, Ziqian
• KHOT, Aniket Krishna
• KUZHIVELIL, John Jude
• LAU, Ka Ho
• LAU, Ming Fung
• LIN, Tong
• LIN, Yu-Kuan
• LIU, Yen-Ling
• LORENTZEN, Rachmadi Bustillo
• PHAM, Brendon
• PILSON, Reshma Tresa
• QASIM, Samreen Fatima
• RAGHU, Aniruthaan
• SATODIA, Shrey Rajeshbhai
• SENEDO, Carlson Kim
• SHAHRIN, Fariha
• SIM, Minhwi
• SURESH, Ashwin
• VITHANA GAMAGE, Lahiru Shehan Kaushalya
• WU, Chia-Lin
• WU, Gaobo
• XIE, Wenqi
• YAN, Ni
• YOO, Hwanik
• ZHANG, Xiyan

Master of Information Technology (Cyber Security and Networks)

• AKKAS, Muhammed
• ALADILI, Alaa Hassan S
• ALAHMARI, Saad Mushabbab M
• BHATT, Yashkumar Balkrishna
• BOLLINENI, Geethanjali
• BU QASIM, Musab Ali S
• CHAVDA, Harsh Dhiren
• CHEN, Cheng
• DUDIPALA, Adarsh Reddy
• GODAVARTHI, Manoj
• HAN, Huixue
• KUNAPANENI, Lokesh
• MACKAY, Selkie
• PATEL, Monark Maheshkumar
• PRITCHARD, Luke Anthony
• PURVES, Jacqueline Esther Kabura
• RANATHUNGA, Tharaka Ravishan
• SOMANATHA PANICKER, Jayadeep
• SONI, Meet Ashokkumar
• SPALDING, Elise Hart
• TSHERING, Penjor
• VALLAMKONDA SAI SHABAREESH,
• YONTEN, Damcho

Master of Information Technology (Cyber Security)

• BISSA, Khushboo
• CHAN, Hak Wai Jasper
• CHEUNG, Kei Ki
• CHIN, Jia Ern
• DE JONG, Koen
• GEORGE, Agnal
• JACKSON, Kelsey Carrol Anne
• KAPADIA, Abdeali Taiyabali
• KIM, Gahee
• LEUNG, Tsz Ching
• LIU, Pei-I
• MISTRY, Manan Pareshbhai
• MUDAI, Tushar
• OSORIO RAMIREZ, Santiago
• PALLIYAN THULUVAN, Athul
• PARMAR, Chintan Anil
• PAUL, Mathews
• ROSE THOMAS, Sharon
• ROY, Naigal
• SHAH, Yash Chirag
• THOMAS, Jossin
• TUKANA, Kalolaini Fiona Bulavou Marie

Master of Information Technology (Data Science)

• AM-AMPAI, Tanaporn
• ARAUJO RODRIGUEZ, Eduardo Luis
• BATTINI, Krutika
• BAYARAA, Amarjargal
• CHAVADA, Jayraj Dolubhai
• CHERIAN, Jaison Vengal
• CHIH, Hsin-Yi
• EMERIZAL, Adam
• FAIZA, Mahdia
• HALIM, Yovita
• HUSSAIN, Sajjad
• JANI, Om Pranavbhai
• KALAL, Pranav Anil
• KANDOLHA, Kanwar Noor Preet Singh
• KOLAKALETI, Chitesh
• KOTHANUR SOMANNA, Tejas
• LIU, Jingya
• LUKE, Shalisha Jessica
• MARTIN, Riya
• MESHRAM, Virajas Sudesh
• PARTHASARATHY, Bhavesh
• PREKSHA,
• RAI, Vaishnav
• RAO, Prachi
• ROJAS MIRANDA, Scarlett Daniela
• SANGARAJU RAMACHANDRARAJU, Prasanth
• SONEY VARGHESE, Steve
• THINAGARAN, Dhivagar
• THIRUMALAIMUTHU, Suraj
• VARGHESE, Shino
• YANG, Wan-Shan
• YANG, Yi Ting
• YOGANANDAN, Janardhanan

Master of Information Technology (Human Centred Design)

• HUANG, Huafeng
• KONG, Zhuoyang

Master of Information Technology (IT Management)

• RANJEETA,
• VAHORA, Lubnaben Mahamadazaz

Master of Information Technology (Process Analytics and Automation)

• KOAY, Zheng Jie
• LABASTIDA, Meliza

Master of Information Technology (Software Development)

• BEKRIAN, Elahe
• BHANDARI, Srijan
• CAO, Rui
• CHEN, Boyuan
• CHERIAN, Reny Ann
• CHIEN, Yu-Xin
• DODIYA, Nihir Hiteshkumar
• DORMAN, Mackenzie Sandra
• FU, Jingwen
• HAMIMUDIN, Nabil Faris Ubaidi
• JAMES, Jeswin
• JAYAN, Renuka
• JYOTHISH KOOTTUKARAN, Jeevan
• KOCHUKUNJU MATHEW, Sony
• MA, Chen-Hsuan
• MAPPILAKUNNEL KURIAKOSE, Akhila
• PATEL, Yashkumar Kartikkumar
• PAUL, Sona
• RAGHAVAN, Seethal
• RAIHAN, Khondoker Sakib
• RIZAL, Prashant
• ROMERO BEDOYA, Kevin
• SAIF, Muhammad Ahmad
• SUNNY, Alwin
• THOMAS, Athul
• TZUNG, Wen-Chi
• WANG, Qichen

Master of Philosophy

• NNAOBI, Chinenye Ifechukwu
• SIDDIQUE, Ehtisham
• XU, Zhiqiang