Faculty of Engineering 2 - Thursday 31 July 2025 6pm (AEST)

Civil, computer and systems, electrical and aerospace, mechatronics, robotics and management (including HDR programs)

Watch the ceremony

Find a name

Siganto Foundation Medal

Goan, Ethan James

Thesis Title

Practical Uncertainty in Neural Networks

Supervisors

  • Professor Clinton Fookes (Principal Supervisor)
  • Associate Professor Dimitri Perrin (Associate Supervisor)
  • Distinguished Professor Kerrie Mengersen (Associate Supervisor)

Citation

The adoption of machine learning technologies has grown considerably as the predictive performance of deep learning models continues to improve. Application of these systems for real-world scenarios requires not only raw predictive power, but also informative uncertainty information. Quantifying uncertainty comes at the expense of increased computation and time, and as a result most models do not aim to communicate any such information. This thesis addresses this by proposing practical means to quantify uncertainty in offline scenarios, real-time scenarios, and within existing neural networks not designed within a probabilistic framework.

Outstanding Doctoral Thesis Award

Athmarajah, Gopikrishna

Thesis Title

Localised Failures of Thin Steel Battens Under Extreme Temperature Environments

Supervisors

  • Professor Mahadeva Mahendran (Principal Supervisor)
  • Dr Anthony Ariyanayagam (Associate Supervisor)

Citation

This research investigated the behaviour of cold-formed steel (CFS) battens used in the cladding systems of external building envelopes under extreme weather conditions. Through detailed experimental and numerical studies, it examined the critical pull-through and pull-out failures of batten screw connections at elevated temperatures (simulating bushfires) and sub-zero temperatures (simulating blizzards). This research identified the critical parameters influencing these failures and developed new design capacity equations for inclusion in the CFS design standards. The use of the findings from this research will improve the resilience of CFS cladding systems under extreme bushfire and blizzard conditions.

Doctor of Philosophy

Algarny, Khalil Saad A

Thesis Title

Sensorless Control and Large Signal Stability Analysis of Microgrids

Supervisors

  • Professor Don Vilathgamuwa (Principal Supervisor)
  • Associate Professor Dezso Sera (Associate Supervisor)

Citation

This thesis addresses key control and stability challenges in microgrids operating with high levels of renewable energy. It presents novel methods to enhance reliability and reduce dependence on physical sensors in dynamic conditions. A sensorless control strategy using voltage and current estimators is proposed and validated through simulations and experiments, maintaining system performance under partial shading and fluctuating loads. A new approach for large signal stability analysis is also introduced, defining the region of attraction for converter-based systems. The outcomes contribute to the development of cost-effective, robust, and scalable control solutions for future renewable-powered microgrids.

Alzaffin, Khalid Ahmad Juma Saeed

Thesis Title

Investigating Injury Severity in Motor Vehicle Crashes: Insights from Police-Hospital Linked Data

Supervisors

  • Professor MD. Mazharul Haque (Principal Supervisor)
  • Associate Professor Angela Watson (Associate Supervisor)
  • Dr Sherrie-Anne Kaye (Associate Supervisor)

Citation

This research examined road traffic injuries in the United Arab Emirates (UAE), a high-income, fast-developing country. The research offered two key contributions to road safety. First, it integrated police and hospital data to provide a more comprehensive understanding of road traffic injuries. Second, it applied advanced statistical models to analyse road safety challenges more thoroughly. The findings of this research can support traffic police in law enforcement strategies, assist road authorities in infrastructure planning, and empower local communities to adopt safer road practices aligned with Vision Zero goals.

Amarasingam, Narmilan

Thesis Title

UAV-Based Remote Sensing and Artificial Intelligence in Precision Agriculture and Biosecurity

Supervisors

  • Professor Luis Gonzalez (Principal Supervisor)
  • Dr Juan David Sandino Mora (Associate Supervisor)
  • Dr Surantha Salgadoe (External Supervisor)
  • Dr Kevin Powell (External Supervisor)

Citation

This thesis explores the integration of drones and artificial intelligence to tackle key challenges in precision agriculture and biosecurity. By developing innovative methodologies, the study enhances crop health monitoring, pest and disease management, and the mapping of invasive plant species. The outcomes include precise chlorophyll estimation, early detection of crop diseases, and effective mapping of invasive species. This work highlights how UAVs and AI can optimise agricultural practices, support sustainable farming, improve biosecurity, and strengthen conservation efforts for better environmental and economic outcomes. The research provides actionable strategies for improving efficiency and decision-making across agricultural and ecological landscapes.

Balasooriya, Meda Gedara Buddhika Thejani

Thesis Title

Response of Underground Transport Tunnels to Internal Explosion and Mitigation Using Materials Technology

Supervisors

  • Professor David Thambiratnam (Principal Supervisor)
  • Professor Hung Tin Tommy Chan (Associate Supervisor)
  • Dr Tatheer Zahra (Associate Supervisor)
  • Dr Ruwanika Chandramani Piyasena Rajapakshage (External Supervisor)

Citation

This research treats the vulnerability of underground transport tunnels to credible internal explosions and evaluates the effects of controlling parameters. Both load and structure related parameters are examined through numerical simulations, as full-scale testing is impractical. A mitigation strategy is developed using auxetic composite render as an energy-absorbing protective layer for tunnel linings. Research findings obtained through coupled and uncoupled analyses will help to enhance tunnel safety under internal explosions. They will enable retrofitting existing tunnels and new tunnel designs for improved resilience against deliberate and accidental explosions.

Ghaseminia, Seyed Meghdad

Thesis Title

An Investigation on the In-Plane Performance of Shear Walls for Low to Moderate Seismic Regions

Supervisors

  • Dr Tatheer Zahra (Principal Supervisor)
  • Dr Hossein Derakhshan (Associate Supervisor)
  • Dr Julian Thamboo (External Supervisor)
  • Professor David Thambiratnam (Mentoring Supervisor)

Citation

This thesis examined the performance of reinforced masonry (RM) and reinforced concrete (RC) shear walls, which are essential for protecting buildings during earthquakes. By analysing walls with single and double layers of reinforcement, the study assessed their strength, ductility, drift, and vulnerability through experimental tests, analytical models, and advanced simulations. The findings revealed that RM walls with limited ductility outperformed non-ductile RC walls and demonstrated comparable resilience and drift capacity to limited ductile RC walls. This emphasised the potential of RM walls as a reliable and resilient option for earthquake-resistant design in low to moderate seismic regions such as Australia.

Hussaini, Somayeh

Thesis Title

Spiking Neural Networks for Scalable Visual Place Recognition

Supervisors

  • Dr Tobias Fischer (Principal Supervisor)
  • Professor Michael Milford (Associate Supervisor)

Citation

This thesis investigates how Spiking Neural Networks, inspired by our brains, can serve as an alternative to current systems for Visual Place Recognition, a critical component in autonomous robotic navigation. This research introduces a spiking network tailored for place recognition that is scalable to large environments and integrates strategies that enhance robustness against appearance changes. Once deployed on specialised brain-inspired neuromorphic hardware, spiking networks promise high energy efficiency, paving the way for robots that are efficient and can operate autonomously over long periods, especially in scenarios with resource constraints.

Kolonnage, Yasas

Thesis Title

Experimental Investigation of Factors Influencing Long-Term Performance of Geocomposite-Reinforced Subgrades Under Cyclic Loading

Supervisors

  • Associate Professor Chaminda Gallage (Principal Supervisor)
  • Dr Yilin Gui (Associate Supervisor)
  • Mr Jothi Ramanujam (External Supervisor)

Citation

This study focuses on examining the factors that influence the long-term performance of geocomposite-reinforced subgrades under dynamic loading conditions. The model subgrades were tested with varying capping layer thicknesses (100-300mm), reinforcement conditions, types of geocomposites, different in-situ subgrade stiffnesses, and types of unbound granular materials. The surface rutting, subgrade permanent deformations, subgrade pressures, and permanent strains on the geocomposites were monitored and analysed to develop design guidelines for stabilised subgrades.

Laurie, Jordan

Thesis Title

Extending the Applicability of Non-Contact Vital Signs Assessment Using RGB Cameras

Supervisors

  • Professor Jonathan Roberts (Principal Supervisor)
  • Adjunct Associate Professor Niall Higgins (Associate Supervisor)
  • Associate Professor Thierry Peynot (Associate Supervisor)

Citation

Measuring Heart Rate and other Vital Signs using normal cameras has shown a lot of promise in controlled laboratory settings but typically suffers when used in less controlled environments. This thesis presents a set of techniques for improving the robustness of camera measurement of vital signs, moving the technology closer to clinical application.

Masyhur, Abdul Hakim

Thesis Title

Investigation on Ride Comfort of High-Speed Train Subject to Braking

Supervisors

  • Professor Hung Tin Tommy Chan (Principal Supervisor)
  • Dr Craig Cowled (Associate Supervisor)

Citation

This study was carried out to examine the ride comfort of a high-speed train during braking and proposed improvement solutions based on dynamic acceleration responses. The influences of a range of factors, such as input brake torque, variation of suspension characteristics, and rail irregularity, were investigated to ascertain whether the train was within the comfort limit. By using a fixed coordinate reference frame method, a multi-body dynamic model was established to analyse the acceleration responses when the brake is applied. The outcomes of this thesis will contribute towards better ride comfort for high-speed train passengers during severe braking.

Njogu, June Wangoi

Thesis Title

The Influence of Recovered Carbon Black (rCB), on the Properties and Performance of rCB Modified Hot Mix Asphalt

Supervisors

  • Associate Professor Chaminda Gallage (Principal Supervisor)
  • Professor Leslie Dawes (Associate Supervisor)
  • Dr Gregory Stephenson (External Supervisor)

Citation

This research addressed the challenge of improving road durability while reducing environmental waste. It found that using recovered carbon black (rCB) from waste tyres as a filler in asphalt mixtures can enhance pavement performance and sustainability. Laboratory testing showed that small amounts of rCB improved stiffness, fatigue performance, and resistance to moisture and permanent deformation, offering a viable alternative to hydrated lime, which faces supply chain constraints and a high carbon footprint.

Pahalage, Nishadi Nayanthara

Thesis Title

Experimental Investigation of Critical State Behaviour and Static Liquefaction for the Design of Mine Tailings Dams

Supervisors

  • Associate Professor Chaminda Gallage (Principal Supervisor)
  • Dr Jayasiri Pemathilaka Rajapakse (Associate Supervisor)

Citation

This thesis investigates the critical state behaviour and static liquefaction of mine tailings materials for assessing the stability of tailings storage facilities (TSFs). Through comprehensive laboratory testing and in-situ analysis of tailings from two Australian TSFs, the study examined the impact of laboratory reconstitution methods on tailings mechanical response. The research identifies transitional behaviour in tailings, its implications on the stability assessments and develops new empirical correlations for assessing liquefaction potential. Findings provide insights for improving the design and safety of tailings storage facilities globally, addressing a critical geotechnical engineering challenge.

Wang, Haoran Eric

Thesis Title

Adaptive Group-Based Signal Control with Bus Priority Based on Multi-Agent Deep Q-Network Model

Supervisors

  • Professor Ashish Bhaskar (Principal Supervisor)
  • Professor Alexander Paz (Associate Supervisor)

Citation

This research presents an innovative urban traffic signal control system aimed at improving the flow of both public transport and private vehicles. By integrating artificial intelligence and deep reinforcement learning, the system dynamically adjusts signal timings based on real-time traffic conditions, with a focus on providing bus priority. The study demonstrates that this adaptive signal control system significantly reduces delays for buses and general traffic, enhancing both efficiency and safety at intersections.

Windsor, Morgan Jack

Thesis Title

Heuristic Based Self-Assessment of Target Localisation During Robot-Assisted Shoulder Surgery

Supervisors

  • Professor Michael Milford (Principal Supervisor)
  • Professor Peter Pivonka (Associate Supervisor)

Citation

This thesis investigates self-assessment methods for vision-based localisation in robot-assisted shoulder surgery - a critical capability that enables the estimation of a patient’s position and assessment of the quality of that estimate. This research introduces novel approaches for detecting and predicting localisation failures, improving overall performance by informing decisions about robot trajectories and enabling automatic switching between localisation system configurations. This work demonstrates both the feasibility of heuristic based approaches in localisation self-assessment, and the utility of self-assessment methods in improving overall localisation performance.

Zhang, Ruixuan

Thesis Title

Development and Evaluation of Machine Learning Frameworks for Prediction of Blast Induced Side Effects

Supervisors

  • Dr Yilin Gui (Principal Supervisor)
  • Professor Yuefeng Li (Mentoring Supervisor)

Citation

This thesis focuses on applying machine learning techniques to predict blast-induced hazards, with a particular emphasis on improving model accuracy under small-sample conditions. Three tailored models were developed for air overpressure, flyrock, and ground vibration prediction, each incorporating strategies such as neural network kernel learning, and representation learning to enhance robustness and generalization. The proposed models outperform traditional approaches and demonstrate the potential of machine learning in data-limited engineering scenarios.

Undergraduate awards

Bachelor of Engineering (Mechatronics)

  • THOMAS, Benjamin

Bachelor of Engineering (Mechatronics) – Second Class Honours – Division B

  • CORBY, Matthew Insri

Bachelor of Engineering Studies

  • CAMERON, Alister James
  • CHEN, Yangjie
  • GRIESBACH, Julia
  • HARRIS, Shaun Ryan
  • HENTTONEN, Jai Alexander
  • HJ AHMAD, Hjh Anie Nurruhiyati
  • JEFFERY, Katie Rose
  • SHAW, Madison Jessie
  • WANG, Zhezheng
  • WONG, Nelson Jun Song

Bachelor of Business (Management)/Bachelor of Engineering (Civil)

  • EMMS, Jonathan Andrew

Bachelor of Engineering (Honours) (Civil) – Third Class Honours

  • CHENG, Chi Ho Cody
  • HURTADO STAGNARO, Leonardo Carlos
  • PARKER, Brodie Joseph
  • SINGH, Amrit Pal
  • YUEN, Ka Long
  • ZHANG, Yiwen
  • ZHENG, Boyu

Bachelor of Engineering (Honours) (Computer and Software Systems) – Third Class Honours

  • SNELL, Alexander Malcolm

Bachelor of Engineering (Honours) (Electrical and Aerospace) – Third Class Honours

  • PARKER, Elliott William

Bachelor of Engineering (Honours) (Electrical) – Third Class Honours

  • ALVES, Pedro
  • KOO, Wooje
  • WOOD, Mitchell Guy

Bachelor of Engineering (Honours) (Mechatronics) – Third Class Honours

  • TA, Brendan Ryu
  • ZBASNIK, Jeremy Aaron

Bachelor of Engineering (Honours) (Civil) – Second Class Honours – Division B

  • AHMAD, Waleed
  • AMJAD, Asfand Yar
  • AWAN, Muhammad
  • CHEW, Zhen Yang
  • DE LORYN, Sydney William
  • DORMER, Kane Avery
  • GLOWREY, Patrick William
  • GOODFELLOW, Nathaniel
  • GUARINO, Nicholas
  • HALL, Blake Alan
  • HAWKINS, Cory John
  • HUYNH, Khang
  • LING, Jessica Jade
  • LIU, Xiyang
  • LONG, Ryan James
  • MANJUNATHA KAMBATHALLI, Srujan
  • MCGILVERY, Corey Darryl James
  • MONTGOMERIE, Ayden Terence
  • MWANDU, Elize Bushambale
  • PENNISI, Alessandro David
  • PERA, James Matthew Valente
  • POPPLETON, Jarvis Kane
  • SMITH, Joshua Marshall
  • TRAN, Colin James
  • TRAN, Dang Huy
  • ZHANG, Chao Day

Bachelor of Engineering (Honours) (Computer and Software Systems) – Second Class Honours – Division B

  • NASRAOUI, Benjamin Omar

Bachelor of Engineering (Honours) (Electrical and Aerospace) – Second Class Honours – Division B

  • ABANTO DEL AGUILA, Luis Andre
  • BONWICK, Joshua Dylan James
  • EVANS, Kyle Thomas
  • FORD, Matthew John
  • SOURIS, Charles Alexander
  • WILLIAMS, Robin Eric

Bachelor of Engineering (Honours) (Electrical) – Second Class Honours – Division B

  • BLUNDELL, Jaiden Connor
  • COLLINS, Joshua David
  • LI, Haokai
  • MARTIN, James
  • MC INTOSH, Reece Angus
  • MIKKELSEN, Bradley David
  • NGUYEN, Hien Thuy
  • SWANNELL, Leighton Andrew
  • TONSING, Rudich
  • WARD, John Geoffrey
  • WILLIAMS, Ethan Hunter

Bachelor of Engineering (Honours) (Mechatronics) – Second Class Honours – Division B

  • BARTELS, Jake Mitchell
  • CRISTAUDO, Zachary Santo
  • GAUCI, Nicholas Samuel
  • LE, Hieu Trong
  • PANG, Regina Jade
  • SIBTHORPE, Jack Henry
  • TURNER, Joseph Ian
  • YOUNGER, Joseph John Francis

Bachelor of Engineering (Honours) (Civil) – Second Class Honours – Division A

  • FIRTH, Thomas Ryan
  • HUTCHISON, Zachary
  • JO, Juho
  • KAMDAR, Tvisha Himesh
  • KIM, Jisoo
  • LOWRY, Jakob Boyd
  • MYERS, Benjamin Thomas
  • SITU, Kenneth
  • STUART, Taylor Amee Grace

Bachelor of Engineering (Honours) (Computer and Software Systems) – Second Class Honours – Division A

  • HALAMA-LUMSDEN, Alec Vlado
  • MAYHEW, Kyron Jason

Bachelor of Engineering (Honours) (Electrical and Aerospace) – Second Class Honours – Division A

  • MULLER, Blake Dean

Bachelor of Engineering (Honours) (Electrical) – Second Class Honours – Division A

  • ALHAJAL, Feras Akram
  • BRADLEY, Ryan Nicholas
  • HAMILTON, Matthew James
  • HOLLINS, Benjamin
  • LLOYD, Joshua Joseph
  • VELASQUEZ HURTADO, Santiago

Bachelor of Engineering (Honours) (Mechatronics) – Second Class Honours – Division A

  • KEHOE, Natalie Helga
  • KLAZINGA, Caleb Andrew
  • MCNAMARA, Daniel John
  • MEYERS, Bailey Thomas
  • MOLLER, Sebastian James
  • YOUNG, Alex
  • YOUNG, Kenton Vernon

Bachelor of Engineering (Honours) (Civil) – First Class Honours

  • CALLISTA, Chika
  • RAINES, Rosario Charles
  • ROGERS, Julian David
  • STEELL, Mark

Bachelor of Engineering (Honours) (Computer and Software Systems) – First Class Honours

  • EDWARDS, Zachary William
  • WOOD, James Davis

Bachelor of Engineering (Honours) (Electrical and Aerospace) – First Class Honours

  • GILDER, Thomas George
  • NGO, Ngoc Thinh
  • SHEEHAN, Christopher Michael

Bachelor of Engineering (Honours) (Electrical) – First Class Honours

  • ANDERSEN, Connor Daly
  • CHEN, Lihui
  • DUNBAR, Jack Mossimo
  • DYSON, Emma Carmel
  • HEINEMANN, Ben Alexander
  • MITCHELL, Bradley
  • PASS, Jiang
  • PEARL, Alexander Jonathan Kevin

Bachelor of Engineering (Honours) (Mechatronics) – First Class Honours

  • GONI, Asier
  • GORDILLO, Benjamin Allan

Bachelor of Business (Economics)/Bachelor of Engineering (Honours) (Civil) – Second Class Honours – Division B

  • BOUKAGHAEI, Merat

Bachelor of Business (Economics)/Bachelor of Engineering (Honours) (Mechatronics) – Second Class Honours – Division B

  • RAMSAY, Joel Clayton

Bachelor of Business (Finance)/Bachelor of Engineering (Honours) (Civil) – Second Class Honours – Division B

  • ROSS, Jack

Bachelor of Business (Marketing)/Bachelor of Engineering (Honours) (Civil) – Second Class Honours – Division B

  • BAGLEY-JONES, Sylvahn Sebastian Shyama
  • LEE, Stephanie

Bachelor of Business (Finance)/Bachelor of Engineering (Honours) (Civil) – Second Class Honours – Division A

  • AZIZULLAH, Mehdi

Bachelor of Business (Management)/Bachelor of Engineering (Honours) (Computer and Software Systems) – Second Class Honours – Division A

  • VOLLERT, Jack Walter

Bachelor of Business (Economics) – with Distinction/Bachelor of Engineering (Honours) (Electrical) – Second Class Honours – Division A

  • BOEGHEIM, Joshua Jack

Bachelor of Business (Finance) – with Distinction/Bachelor of Engineering (Honours) (Mechatronics) – Second Class Honours – Division A

  • OO, Jolene Yan Sin

Bachelor of Business (Finance) – with Distinction/Bachelor of Engineering (Honours) (Civil) – First Class Honours

  • DAVIES, Matt Macauley

Bachelor of Design (Architecture)/Bachelor of Engineering (Honours) (Civil) – Second Class Honours – Division A

  • GROFSKI, Kyle William

Bachelor of Design (Industrial Design) – with Distinction/Bachelor of Engineering (Honours) (Mechatronics) – Second Class Honours – Division A

  • ADAMOVSKIS-KRAUS, Jahal

Bachelor of Design (Architecture) – with Distinction/Bachelor of Engineering (Honours) (Civil) – First Class Honours

  • MENDIS, Mahamendige Minuka Erangi

Bachelor of Engineering (Honours) (Computer and Software Systems) – Third Class Honours/Bachelor of Information Technology (Computer Science)

  • AL ABBO KASHA, Maron Mooneer Zako

Bachelor of Engineering (Honours) (Electrical and Aerospace) – Third Class Honours/Bachelor of Information Technology (Computer Science)

  • BICO, Mike Renso Salundaguit
  • HERVIAS, Andre Leann Montanez

Bachelor of Engineering (Honours) (Electrical) – Second Class Honours – Division B/Bachelor of Information Technology (Information Systems)

  • JOSEPH, Allen

Bachelor of Engineering (Honours) (Mechatronics) – Second Class Honours – Division B/Bachelor of Information Technology (Computer Science)

  • KNOPKE, Blaydon Brian

Bachelor of Engineering (Honours) (Mechatronics) – Second Class Honours – Division A/Bachelor of Information Technology (Computer Science)

  • DANG, Vo Minh Doan

Bachelor of Engineering (Honours) (Mechatronics) – Second Class Honours – Division A/Bachelor of Information Technology (Information Systems)

  • FROST, Maxwell Christopher

Bachelor of Engineering (Honours) (Electrical) – Second Class Honours – Division A/Bachelor of Information Technology (Computer Science) – with Distinction

  • BALLANTYNE, Rhett Allan
  • MOTT, Quenel Michael

Bachelor of Engineering (Honours) (Computer and Software Systems) – Second Class Honours – Division A/Bachelor of Mathematics (Applied and Computational Mathematics)

  • KRETE DE SOUZA, Heitor

Bachelor of Engineering (Honours) (Mechatronics) – Second Class Honours – Division B/Bachelor of Mathematics (Applied and Computational Mathematics) – with Distinction

  • HOOPER, Harrison Brian

Bachelor of Engineering (Honours) (Electrical) – Second Class Honours – Division A/Bachelor of Mathematics (Applied and Computational Mathematics) – with Distinction

  • FREEMAN, Daniel

Bachelor of Engineering (Honours) (Computer and Software Systems) – First Class Honours/Bachelor of Mathematics (Applied and Computational Mathematics)

  • CRAWFORD, Samuel Eli

Bachelor of Engineering (Honours) (Electrical) – First Class Honours/Bachelor of Mathematics (Applied and Computational Mathematics) – with Distinction

  • ZHU, Andrew

Bachelor of Engineering (Honours) (Electrical) – First Class Honours/Bachelor of Mathematics (Operations Research) – with Distinction

  • DISS, Sebastian Robert

Bachelor of Engineering (Honours) (Mechatronics) – First Class Honours/Bachelor of Mathematics (Operations Research) – with Distinction

  • STOCKHAM, Luke Joshua

Bachelor of Engineering (Honours) (Electrical) – Second Class Honours – Division B/Bachelor of Science (Physics)

  • NASTAJ, Piotr Karol

Bachelor of Engineering (Honours) (Civil) – Second Class Honours – Division A/Bachelor of Science (Environmental Science)

  • RYNNE, Chloe Rose

Bachelor of Engineering (Honours) (Mechatronics) – Second Class Honours – Division B/Bachelor of Science (Physics) – with Distinction

  • HIGGINS, Georgie Helen
  • YOUNG, Zane Zinzan

Bachelor of Engineering (Honours) (Civil) – First Class Honours/Bachelor of Science (Physics) – with Distinction

  • LAGUNA, Ryan Giordano

Bachelor of Engineering (Honours) (Electrical) – First Class Honours/Bachelor of Science (Chemistry) – with Distinction

  • WEBSTER, Lucy

Bachelor of Engineering (Honours) (Electrical) – First Class Honours/Bachelor of Science (Physics) – with Distinction

  • GIAROLI, Jasper James

Postgraduate awards

Graduate Certificate in Communication for Engineering

  • KALLEM, Srivamshi Reddy

Graduate Certificate in Smart Transport and Mobility

  • O'BRIEN, Joshua Luke

Master of Engineering Management

  • ALEXANDER, Joshua John
  • ALQAHTANI, Sultan Abdullah H
  • ALQARNI, Riyadh Mahdi S
  • ALRASHDI, Talal Nasser A
  • BARR, Callum
  • DEVARAJ, Mithelaash Yaadav
  • DIAS, Rhennon Lee
  • DINH, Thi Kim Phung
  • GEORGE, Johnjees
  • LAAKKONEN, Tuomas
  • L'ESTRANGE, Thomas
  • MORENO, Sherwin
  • PRASAD, Anandu
  • THOTTUNGAL SYMON, Jerry
  • TSHERING, Yeshi
  • VAN TONDER, Barend Matheus

Master of Professional Engineering (Civil and Construction)

  • ALIAS, Eldho
  • PELDEN, Jangchu

Master of Professional Engineering (Civil and Management)

  • ANTONY BABARLES, Yash Raj
  • CHHETRI, Mon Bdr
  • CHODEN, Jigme
  • DIXIT, Shantanu Dilip
  • DORJI, Phurpa
  • MATHEW, Sherin
  • PATEL, Vinit Rameshbhai
  • UMAT, Amanraj
  • WANGMO, Tshering
  • WANGMO, Ugyen

Master of Professional Engineering (Civil with Management)

  • DHAKAL, Sachin
  • DHAMELIYA, Rohit Himmatbhai
  • SAVANI, Krushilkumar

Master of Professional Engineering (Civil)

  • DORJI, Tshultrim
  • LETHO, Dorji
  • MONGAR, Nobin
  • NAKRANI, Urvish
  • RAI, Anish
  • RINCHEN, Sonam
  • TAMANG, Phub Tshering
  • THUDI, Shiva Teja Reddy
  • VEKARIYA, Savankumar Ashvinkumar Savankumar
  • YUWAT, Norawut

Master of Professional Engineering (Electrical and Management)

  • DHYANI, Shubham Naval
  • GOEL, Aarohan
  • IRIMBEN, Febin Jacob
  • SABALE, Abhishek Namdeo

Master of Professional Engineering (Electrical)

  • ABY, Anusha
  • AHMED, Kamran
  • MA, Dongjun
  • PALSULE, Rucha Prasad
  • WONG, Cyrene Ling Wei

Master of Professional Engineering (Civil and Management) – with Distinction

  • CHOKI, Pema
  • KHANDU, Pema

Master of Professional Engineering (Civil) – with Distinction

  • PUMIHIC, John Devon Dulnuan

Master of Professional Engineering (Electrical and Management) – with Distinction

  • CHOKI, Sonam

Master of Professional Engineering (Electrical with Management) – with Distinction

  • PATEL, Chiragbhai Sureshkumar

Master of Robotics and Artificial Intelligence

  • AL KASAWNEH, Nermin Osameh Ali
  • ALJOHANI, Mishari Riyadh A
  • GNANASOTHY, Kirethika
  • LIM, Che Lim

Master of Robotics and Artificial Intelligence – with Distinction

  • ATTO YWASAKI, Mauricio Andres

Master of Philosophy

  • CRIMSON, Matthew John
  • FANG, Zhicheng