https://www.linkedin.com/in/pooi-mun-wong-89b07515b/

EXPERIENCES

Research Fellow

Full-Time, NUS (Jun 2024–Present)

Led a research team using Agile methodologies to ensure seamless integration of project components and timely resolution of blockers.
Managed progress tracking against key milestones to facilitate successful completion of monthly deliverables.
Designed system architecture and data structure to ensure alignment with project objectives and optimize workflow coordination.
Identified research gaps, structured manuscript to highlight research novelty, facilitated focused technical discussions, managed communication challenges within the team, and validated research findings collaboratively.

Founder & Behavioural Systems Designer

Full-Time, Independent Initiative (Nov 2023 - Present)

Conducted extensive user interviews to validate the essential needs and interests of the target audience, ensuring the project direction was data-driven and user-centric.
Developed a prototype mobile app using Flutter alongside a sociopsychological framework designed to support sustainable behaviour change.
Developed workshop materials tailored for diverse audiences to facilitate understanding and application of the behaviour framework.
Developed and delivered a personalized development program, namely Co-Scheduling, that focused on building sustainable systems, routines, and habits aligned with individual goals and values.
Worked closely with individuals to implement personalized systems and conducted post-program follow-ups to ensure long-term progress and goal achievements.
Organized and iterated pilot sessions based on participant feedback to improve program effectiveness and engagement.
Explored partnership and funding opportunities by engaging prospective collaborators and preparing grant proposal materials.

Research Mentor

Volunteer, NUS (Nov 2023 - Present)

Developed structured onboarding programs tailored to different academic levels to manage expectations and facilitate seamless integration of new research members.
Mentored students across subprojects to ensure timely progress and alignment with research objectives, including reviewing AI models and physical experimental setups for publication potential and project relevance.
Guided postgraduate students in shaping research directions based on their metacognition, strengths, interests, available resources, and long-term career aspirations.
Facilitated reflective discussions to help students explore career development pathways that align with their values, beliefs, identity, priorities, and aspirations.

Research Fellow

Full-Time, NUS (Dec 2022 - Oct 2023)

Planned design workflows, progress tracking, and task direction based on project goals and coordinate with interdisciplinary teams from engineering and medical field to facilitate successful completion of research projects.
Adapted Agile methodologies to mentor a team of students to ensure that all subprojects are completed on time and aligned with the project goals.
Developed AI models for classification, leveraging skills in machine learning, data analysis, and statistical modelling to implement effective models that address project problems.
Handled sensitive patient data, implementing rigorous anonymization and security measures to ensure compliance with relevant regulations and ethical standards.

System Engineer

Volunteer, Total Wellness Initiatives SG (Oct 2022 - Jun 2023)

Automated one of the core event activities by developing a custom Notion board with analytical features, eliminating the need for repeated setup after the initial configuration.
Developed and implemented a Volunteer Management System based on user-centred designs by defining workflows, progress tracking and reward system to increase volunteer engagement and satisfaction.

Event and Outreach Planner

Volunteer, Total Wellness Initiatives SG (May 2022 - Dec 2022)

Engaged directly with participants during events as facilitator, identifying challenges and offering necessary assistance.
Prepared event social media posts with a team using Krita and Canva. One post ranked the 3rd on the page within 6 months of publication.
Strategized partnership invitations with the founder by conducting background research, proposing win-win conditions, and drafting outreach materials.

UI/UX and Product Designer

Volunteer, Safe Space (Aug 2022 - Oct 2022)

Conducted Usability Test interviews and streamlined the note-taking process, improving the processes efficiency by at least 50%.
Introduced additional questions in the Usability Test interviews, increasing the amount of insightful information collected by about 10%.
Completed learning Figma and prototyping a client dashboard within a tight deadline of 4 days, ensuring minimal delay in team progress.
Created a library of Figma components for the company, improving workflow by at least 200%.
Optimized the design of client dashboard for website and mobile app, ensuring scalability of features for future development.
Sped up the analysis process using Python programming instead of Google Sheet formulas, uncovering a major key behaviour pattern when analysed user booking behaviour based on Amplitude.

Tutor

Part-Time, Self-employed (Feb 2022 - Oct 2022)

Identified students’ academic and non-academic strengths and weaknesses, leading to a reduction of mistakes, improving their results by at least 30%.
Designed lesson plans to improve knowledge acquisition and retention, leading to 33% increase in likelihood of using educated guesses and analytical reasoning rather than memorization and blind guesses.

Software Developer

Volunteer, Empathly (Jun 2022 - Sep2022)

Programmed authentication system in a Web App, using Python Flask, Google OAuth, HTML, NextJS, and NodeJS, to record user’s activities for UX improvements. This allowed the main developers to focus on developing the core technology.

Researcher

Volunteer, Safe Space (May 2022 - Jul 2022)

Conducted sensitive interviews in a non-judgmental and respectful manner, achieving 100% completion rate.
Enhanced research depth by introducing follow-up questions based on survey responses, increasing insightful information by 30%.
Independently analysed and visualised survey data using Python and Excel, presenting findings in a storytelling manner for clearer insights.

Student Mentor

Volunteer, TeachSG in Chua Chu Kang Primary School (Feb 2022 - May 2022)

Boosted self-esteem in underprivileged students through Maths-related activities, adapting engagement strategies despite a shrinking volunteer team.

Teaching Assistant

Contract, National University of Singapore (NUS) (Aug 2017 - Nov 2021)

Facilitated working adults in SGUnited program on Feedback Control experiments.
Prepared materials and tutored full-time and part-time students of various age and academic level via physical and virtual classes in Sensors & Actuators Saturday Clinic and Labs, Feedback Control Systems Tutorial and Labs, Reinforcement Learning Project, and Computer Vision Project.
Received positive reviews from 20% of the students who attended the sessions in my last module.

Student Mentor

Part-Time, NUS (Aug 2017 - Dec 2020)

Mentored numerous Masters and Final Year Project (FYP) students with the intention of exercising their critical thinking skills via guidance and encouragement.
Published academic papers with 100% of my mentees on bleeding-edge technologies which improves their career prospect.

M&E Design Intern

Full-Time, Syarikat Pembenaan Yeoh Tiong Lay Sdn. Bhd. (SPYTL) (Jun 2016 - Sep 2016)

Ensured safety and building design requirements in cold water piping system, noise of AHU ducting and chiller room, fire protection system, pressurization system, and heat load according to approved standards for safety and practicality.
Designed a calculation template for noise analysis based on approved standards in Microsoft Excel using functions such as MATCH() to improve the company’s workflow.

PROJECTS

Workflow Simulation and Layout Optimization for Chemical Lab

Research Fellow, NUS (2024 - Present)

Structured system architecture, software components, and UI wireframe to coordinate team members in developing the final software.
Developed Discrete Event Simulation (DES) program to simulate multiple workflows running in parallel in a chemical lab with multiple agents.
Modelled laboratory equipment behaviour based on physics principles and real-world technical specification sheets to improve simulation accuracy.

Explainable Feature Engineering (X-Fea)

2nd Runner-Up, DATA4LIFE 2024 (2024 – 2024)

Competed against 100+ international teams in a time-pressured environment by contributing a product idea, developing an MVP Android app, and creating a 1-minute demo video, creating a product poster, and scripting a pitch within a week.
Achieved Second Place Award at the DATA4LIFE 2024 Competition which took place in Hanoi, Vietnam.

Artificial Intelligence Enabled 3D Facial Scanner for Airway Assessment (AINFAS)

Research Fellow, NUS (2022 - 2025)

Reorganized and structured the ongoing project to establish a clear development roadmap and documentation, effectively identifying and addressing critical blockers and bottlenecks.
Investigated and integrated advanced deep learning models into the system architecture to enhance functionality and reliability.
Led a team to assess the commercialization potential of the researched product through design thinking methodology, comprehensive market surveys, stakeholder interviews, user interviews, and value proposition canvas mapping, all under the mentorship of seasoned entrepreneurs.

Human-centred Intelligent Cyber-Physical System (CPS) System

PhD Student, NUS (2017 - 2022)

Designed system architectures & frameworks to integrate reusable physical & cyber components and realize a flexible CPS that can self-adapt to the environment, reduce downtime, reduce human errors, and improve workpiece defect detection.
Managed a team to develop a full-stack software system, using Github Projects, PowerPoint, and Adobe XD, that can rapidly build CPSs for mass personalized production.
Evaluated the feasibility of numerous open-source tools and prototyped proof-of-concept systems, in Python, Flask, HTML, Arduino, MATLAB and Unity, with unit-tests and best practices, to ease troubleshooting processes for simulations and experiments.
Analysed and visualized simulation and experiment data using statistical methods, such as k-nearest neighbour, box plot, ANOVA and Wilcoxon signed rank test, in Python and Excel to categorize the data and find the relationships between various parameters.
Applied trendy technologies such as cognitive engine, blockchain, augmented reality, virtual reality, internet-of-things, and deep learning.

Application Development

PhD Student, NUS (2017 - 2019)

Created a virtual reality training Android application with a sequential framework using Unity to reduce the training time with higher knowledge acquisition for manufacturing assembly in cost-efficient manner.
Conceptualized and programmed a computer vision application using Matlab and Python OpenCV to evaluate the correctness of the operator’s action in hybrid medical device assembly as a feedback to the CPS-based workcell.

Comparative Study

FYP Student, Universiti Sains Malaysia (USM) (2016 - 2017)

Aced the project and generated a conference article to highlight the differences between three Labview-simulated adaptive noise cancelling filters for future development of noise cancellation devices.

Product Design

Team Lead of Capstone Design Projects, USM (2015-2016)

Led a team of four to conceptualize, design, and create a functional paper puncher with laminating reinforcement based on design-for-disassembly concepts, using SolidWorks and raw materials within the allocated timeframe. The design was submitted for patent.
Led a team of four to identify gap, conceptualize, design, and simulated a wind energy harvesting system that can be implemented in the simulated Malaysia environment.
Aced the modules and impressed the examiners with persuasive presentations.

Product Design

Champion, IME Design Competition (2014 - 2014)

Designed and created the shell of stackable power banks to enable flexible adjustment of power capacity.
Championed the competition as the youngest team member and persuaded the judges with an impressive presentation using advanced PowerPoint skills.

Vehicle Building

Team Member, Shell Eco-Marathon (2012 - 2013)

Designed, fabricated and assembled a modular and aerodynamic shell of an electric car using SolidWorks and raw materials as a team player, contributed to the completion of the car on the track.

EDUCATION

PhD in Mechanical Engineering

NUS (2017 – 2022)

Funded by NUS Research Scholarship and completed with grade 4.33 out of 5.00.
Researched on “Human-centred Intelligent Cyber-Physical System for Industry 4.0”.
Investigated technology assistance in the context of Cyber-Physical System (CPS) development, process control, human awareness for errors, and quality control.

B. Eng. Hons. in Mechanical Engineering

USM (2013 – 2017)

Awarded the IMechE Best Student Award and First Class Honours.
Completed with grade 3.87 out of 4.00 (ranked 2nd out of 82 students).

PUBLICATIONS

Journal

Ren, Z., Dinh, V. S., Wong, P. M., Chng, C. B., Too, J. J. Y., Foong, T. W., Loh, W. N. H., Chui, C. K. (2024). G2LCPS: End-to-end semi-supervised landmark prediction with global-to-local cross pseudo supervision for airway difficulty assessment. Computers in Biology and Medicine 183.
Wong, P. M., Chui, C. K. (2022). Cognitive engine for augmented human decision-making in manufacturing process control. Journal of Manufacturing Systems 65. (pp. 115-129).
Wong, P. M., Sinha, S., Chui, C. K. (2021). Blockchain in manufacturing quality control: A computer simulation study. PLoS ONE 16(3): e0247925.
Ho, N., Wong, P. M., Hoang, N. S., Koh, D. K., Chua, M. & Chui, C.K. (2021). CPS-based manufacturing workcell for the production of hybrid medical devices. J Ambient Intelligent Human Computer.
Yin, J., Chng, C., Wong, P. M., Ho, N., Chua, M., & Chui, C. (2020). VR and AR in human performance research – An NUS experience. Virtual Reality & Intelligent Hardware 2(5). (pp. 381-393).
Ho, N., Wong, P. M., Chua, M., & Chui, C. K. (2018). Virtual reality training for assembly of hybrid medical devices. Multimedia Tools and Applications 77. (pp. 30651-30682).

Conference

Chng, C. B., Koenig, K., Wong, P. M., Wang, M., Wu, J., Chui, C. K. (2024). Towards a Pharmaceutical Cyber-Physical Systems-Based Automated Drug Discovery Workcell, Acta Polytechnica Hungarica. 21(9). (pp. 233-246).
Chau, N. M., Toan, N. N., Tuyen, L. D., Sang, D. V., Wong, P. M., Chng, C. B. & Chui, C. K. (2023). Boosting Facial Landmark Detection via Self-supervised and Semi-supervised Learning. In Proceedings of the 12th International Symposium on Information and Communication Technology (SOICT ‘23). (pp. 485–492). Association for Computing Machinery.
Fu, Y., Wong, P. M., & Chui, C. K. (2021). Smart Contract with Machine Learning for Multi-objective Optimalization in Manufacturing Quality Control. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). (pp. 380-385).
Ho, N., Wong, P. M., Soon, R. J., Chng, C. B. & Chui, C. K. (2019). Blockchain for cyber-physical system in manufacturing. Proceedings of the Tenth International Symposium on Information and Communication Technology. (pp. 385-392). Association for Computing Machinery.
Chng, C. B., Wong, P. M., Ho, N., Tan, X. & Chui, C. K. (2019). Towards a Cyber-Physical Systems Based Operating Room of the Future. In: Zhou L. et al. (eds) OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging. OR 2.0 2019, MLCN 2019. (pp. 47-55).
Wong, P. M., Ho, N. & Chui, C. K. (2018). “Gate”-based human-in-the-loop cyber-physical system framework with human behaviour and health engagement. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). (pp. 2540-2545).

EXTRA COURSES

Course / Degree	Organization	Year of Completion
ICF ACC	International Coaching Federation (ICF)	Coming soon (2026)
Khrysalis Coaching Certification Programme Level 1	NTUC LearningHub	Jan 2026
Effectively Keep ADHD Clients On-Time & On-Task	PESI	Oct 2024
National University Health System Investigators	CITI, National Healthcare Group Pte Ltd.	Jun 2023
Financial Conflicts of Interest	CITI, National Healthcare Group Pte Ltd.	Feb 2023
Recommender Systems Specialization	Coursera, University of Minnesota	Mar 2022 - Jun 2022
Digital Product Management Specialization	Coursera, University of Virginia	Mar 2022 - Jun 2022
Music for Wellness	Coursera, Berklee College of Music	Apr 2022
Introduction to Deep Learning	Coursera, HSE University	Mar 2022
Startup Valuation Methods	Coursera, Duke University	Mar 2022
Introduction to Psychology	Coursera, Duke University	Feb 2022
Managing ADHD, Autism, Learning Disabilities, and Concussion in School	Coursera, University of Colorado	Jan 2022
Introduction to Digital Marketing	Coursera, University of Colorado	Dec 2021
Developing Your Musicianship	Coursera, Berklee College of Music	Sep 2021

SKILLS

Prompt Engineering

Workflow design, AI-assisted literature review, knowledge synthesis, coding and debugging

Programming Language

Python, MATLAB, C#, JavaScript, Dart

Web/mobile Development

Flask, Html, Unity, Kivy, NextJS, Flutter

Artificial Intelligence

Cognitive Engine, Neural Networks, Reinforcement Learning, Deep Learning in Computer Vision

Decentralized System

Cyber-Physical System, Internet-of-Things, Blockchain

Database

MongoDB (NoSQL), SQLite

Engineering Design and Prototyping

Arduino IDE, Labview, SolidWorks, Unity, Vuforia, Figma

Presentation Program

Microsoft Office, Adobe Photoshop, Adobe Illustrator, Da Vinci Resolve, Krita, Canva

Music Program

FL Studio, Audacity

INTERESTS

Psychology and behaviour, Music composition and production, Plushie crafting