Tag Archives: 3d gis

SUCCESS BUILT ON HUMILITY, EFFORT, AND OPENNESS


SUCCESS BUILT ON HUMILITY, EFFORT, AND OPENNESS

Sharing a small but meaningful success story. A paper by my former postgraduate student has been accepted for presentation.

He is the kind of person who truly shows what learning looks like: staying humble, staying curious, asking questions, welcoming suggestions, even asking for corrections when needed, and always ready to brainstorm and refine ideas together. Before the submission, we discussed, shared thoughts openly, and turned ideas into a real and solid piece of work.

And the result? You can see it yourself. A total knockout.

This reminds me that it is not just talent that makes a difference. It is attitude, hard work, and the willingness to grow that truly set people apart. Congratulations. This success is fully earned.

As for me, I have always believed in giving advice sincerely but never forcing it. I will say it once. Whether you choose to listen or not is entirely up to you. We are all responsible for our own paths. I do not gain or lose anything either way. For those who choose to listen and grow, the rewards are theirs to reap.

#DengarCakap #SiapaUntung #TumpangGembira #Mentorship #Gratitude #ResearchJourney #3DModelling #GrowthMindset

3RD KEYNOTE SPEAKER INVITATION – 2025

TURNING RESEARCH INTO REAL-WORLD CONVERSATIONS

[It’s Another Unexpected Milestone]

Still riding the energy from my recent keynote at ICWEES 2025, I’ve just been invited again, this time by ICASE-2025, to deliver the same keynote talk at a different international conference. 

Third keynote talk this year.

Grateful beyond words to see my work resonating across different fields, from geoinformatics to environmental science, smart cities, AI, and beyond.

Thank you once again to all the organizers, peers, and communities that continue to open new doors and believe in this mission.

Let’s keep pushing boundaries, challenging ideas, and building the future together!

#KeynoteSpeaker #ICWEES2025 #ICASE2025 #GeospatialInnovation #SmartCities #GlobalImpact #ResearchMatters #NeverStopDreaming

ANOTHER KEYNOTE TALK, MAY 2025 – XI’AN CHINA

ANOTHER KEYNOTE TALK, MAY 2025 – XI’AN CHINA

I haven’t even delivered my keynote for this month’s conference yet. And the next invitation has already landed. This month conference is over 3,200 km from Skudai. And next month? Even farther, nearly 4,300 km to Xi’an, China. From South Asia to East Asia. Whatever it is, I am grateful for the trust given to share ideas across borders. Thanks!

KEYNOTE SPEAKER TALK – INTERNATIONAL CONFERENCE ON WATER, ENVIRONMENT, ENERGY AND SOCIETY (ICWEES 2025)

Keynote Abstract:

The keynote by Associate Professor Uznir Ujang explores the transformative potential of integrating 3D Geospatial Information Systems (3D GIS) with Geospatial Artificial Intelligence (GeoAI) for tackling urban challenges related to environmental quality, water systems, and energy efficiency. Traditional 2D geospatial methods often fall short in capturing the complexities of urban dynamics. This talk introduces a new paradigm where advanced 3D city models, enhanced by AI-driven spatial analytics, topological structures, and temporal intelligence, offer innovative solutions for resilient city planning.

Key real-world case studies, such as urban air quality visualization, traffic noise propagation, wind flow analysis, and voxel-based environmental simulations, demonstrate how this convergence of technologies can revolutionize decision-making. With data acquisition methods like LiDAR, UAVs, and CityGML semantic modeling, cities can leverage precise, intelligent tools to address sustainability challenges.

Join us as we discuss the future of integrating 3D geospatial intelligence into global sustainability frameworks and urban agendas.

KEYNOTE TALK: GEOAI-DRIVEN 3D URBAN MODELLING

KEYNOTE TALK: GEOAI-DRIVEN 3D URBAN MODELLING

It’s an honour to be given a 45-minute keynote slot, an academic recognition that reflects trust from the international scientific community. 

Unlike typical paper presentations, a keynote isn’t just about showing results. It’s about vision. Future directions. Inspiring researchers across disciplines.

Sharing how Geospatial Science matters, whether it’s for noise modelling, wind flow, water systems, or urban resilience. This keynote is my way of showing how 3D City Modelling and GeoAI can drive meaningful applications across sectors.

Just an abstract for today. The rest of the presentation notes will be drafted later. 

#keynotetalk #geospatialscience #geoai #3dgis #urbanmodelling #smartcities #climateaction #academicrecognition #internationalconference #utm

TEN (10) RESEARCH PUBLICATIONS IN DECEMBER – YEAR 2024 IT’S A WRAP!

TEN (10) RESEARCH PUBLICATIONS IN DECEMBER – YEAR 2024 IT’S A WRAP!

This month, we managed to get 10 articles published. As the year comes to a close (aka holidays), I’ll take the time to share the key insights from each paper in the near future. For now, here’s a quick overview of the contributions:

  1. Transforming High-Rise Residential Maintenance: A 3D Spatio-Temporal Model Utilizing Industry 4.0 and Lean Principles
    .
  2. Traffic Noise Absorption and Propagation in a Three-Dimensional Spatial Environment
    .
  3. Managing Multiple Version Files in CityJSON
    .
  4. High-Rise Building Maintenance Research: Trends, Key Contributions, and Future Directions
    .
  5. 3D City Information Modelling-Based Access Audit for Heritage Townscape Appraisal
    .
  6. Assessment and Visualisation of Space Cooling Demand in 3D City Models
    .
  7. A Temporal Post-Occupancy Risks Management Model for High-Rise Strata via 3D City Modelling Approach
    .
  8. Reviewing the Versioning in 3D City Models to Track Building History and Progress
    .
  9. Assessing and Addressing Energy Cooling Demand in Malaysia’s Buildings: A Comprehensive Review
    .
  10. 3D Spatio-Temporal Post-Occupational Maintenance Management of High-Rise Residential Building: A Case Study
#Research #Publications #Innovation #3DCityModelling #Sustainability #GeospatialScience

STRENGTHENING RESEARCH SKILLS: SYSTEMATIC LITERATURE REVIEW (SLR) TRAINING

STRENGTHENING RESEARCH SKILLS: SYSTEMATIC LITERATURE REVIEW (SLR) TRAINING

On Sunday, we kicked off Day 1 of the Systematic Literature Review (SLR) training session, a personal coaching initiative for my research group. This effort is dedicated to enhancing the research capabilities of my postgraduate students and lab members.

The session, conducted by our very own Lab 3D PhD student, Hafiz Usman Mehmood. He has a vast experience writing this type of paper. Our day 1 training covered critical aspects of SLR, including:

1. Introduction to SLR

2. Importance in Academic Research

3. Developing Research Questions

4. Selecting Databases & Searching Articles

5. Screening & Applying Inclusion/Exclusion Criteria

I believe that empowering young researchers with structured approaches like SLR is key to producing impactful, high-quality research.

These closed training sessions reflect our commitment to cultivating a strong research foundation within our lab. Tomorrow, we move to Day 2 with advanced topics, including the PRISMA framework and qualitative synthesis.

#ResearchSkills #SystematicLiteratureReview #LabTraining #AcademicExcellence #PostgraduateResearch #Mentorship

KEYNOTE SPEAKER AT ICWEES-2025

KEYNOTE SPEAKER AT ICWEES-2025

I have been invited to deliver the Keynote Lecture at the International Conference on Water, Environment, Energy, and Society (ICWEES-2025), which will take place on April 24-25, 2025. This invitation came from a research colleague which he is a Vice Chancellor of a university, making it hard to say no.

I am also honored to be invited as a member of the International Technical Advisory Committee for this conference.

This event is jointly organized by the National Institute of Technology Puducherry (NIT PY) and the International Association for Water, Environment, Energy, and Society (IAWEES), in collaboration with institutions like Rabindranath Tagore University, Texas A&M University (USA), and IHE Delft Institute for Water Education (Netherlands).

If anyone here is familiar with this conference or has attended previous editions, please share your insights and experiences. I would love to hear from you!

#KeynoteSpeaker #ICWEES2025 #Sustainability #WaterEnvironmentEnergy #GlobalCollaboration #AcademicImpact

3D CITY MODELLING FOR HIGH-RISE BUILDING MAINTENANCE!

3D CITY MODELLING FOR HIGH-RISE BUILDING MAINTENANCE!

Our latest research article, “Transforming High-Rise Residential Maintenance: A 3D Spatio-Temporal Model Utilizing Industry 4.0 and Lean Principles”, in the prestigious journal Facilities.

This study introduces a 3D spatio-temporal maintenance model that combines cutting-edge Industry 4.0 technologies (like IoT, AI, and big data) with lean maintenance principles to:
-Optimize maintenance schedules
-Enhance resource allocation
-Improve decision-making processes
-Reduce downtime and costs
-Increase tenant satisfaction through better building performance

The key highlights:
1) Integration of real-time data analytics for predictive maintenance.
2) Advanced 3D visualizations to identify maintenance trends and priorities.
3) A framework designed for sustainability and efficiency in high-rise residential buildings.

This model represents a game-changer in facility management by addressing the unique challenges of high-rise buildings and delivering proactive, data-driven maintenance strategies.

“From better planning to smarter solutions, this research paves the way for innovative and sustainable maintenance practices!”

Read the full article here: https://www.emerald.com/insight/content/doi/10.1108/f-06-2024-0085/full/html

#Industry4 #LeanMaintenance #3DModels #FacilitiesManagement #SpatioTemporal #HighRiseBuildings #Innovation #Sustainability

TRAFFIC NOISE PREDICTION USING MACHINE LEARNING!

TRAFFIC NOISE PREDICTION USING MACHINE LEARNING!

Our new research paper titled “Traffic Noise Prediction Model Using GIS and Ensemble Machine Learning: A Case Study at Universiti Teknologi Malaysia (UTM) Campus” has been published in the Q1-ranked journal Environmental Science and Pollution Research (Web of Science indexed)!

This study focuses on the application of Geographical Information Systems (GIS) and ensemble machine learning models to predict traffic noise levels, an important environmental concern. Our research provides a detailed analysis of how these innovative methods can be used to accurately predict noise propagation and assist in urban planning for noise mitigation strategies.

The results highlight the effectiveness of ensemble learning methods, such as Random Forest and Gradient Boosting, in providing accurate predictions compared to traditional models. This approach could lead to more effective noise control measures and improved quality of life in urban environments.

Check out the full study here:
Title: Traffic Noise Prediction Model Using GIS and Ensemble Machine Learning: A Case Study at Universiti Teknologi Malaysia (UTM) Campus
Link to the paper: https://rdcu.be/dWJaz

This study showcases the power of machine learning in tackling environmental challenges! Using advanced ensemble models like Random Forest, Gradient Boosting, and Extreme Gradient Boosting, the team has developed highly accurate predictions of traffic noise levels. This breakthrough combines GIS with cutting-edge machine learning techniques, making it a standout achievement in noise pollution research!

#TrafficNoise #MachineLearning #GIS #NoisePollution #UrbanPlanning #SustainableCities #EnvironmentalScience #ResearchImpact