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 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
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!
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:
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
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!
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
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!
ANOTHER INTELLECTUAL PROPERTY (IP) COPYRIGHT APPROVAL GRANTED!
Our product titled “Residential Integrated Building Maintenance Management Model (R-IB3M): A Unified GIS Framework Flowchart for Spatio-Temporal Data Synthesis” has officially been granted an Intellectual Property (IP) copyright by MyIPO via Universiti Teknologi Malaysia’s Innovation and Commercialization Center (ICC). The filing number is LY2024J06676, dated 15 October 2024.
This framework is a major step forward in improving building maintenance management through advanced GIS and spatio-temporal data analysis. I look forward to seeing the positive impact this will have on future projects and applications in the field.
Thank you to everyone involved in making this possible, and a special thanks to UTM’s ICC for the support and recognition.
Let’s continue innovating and pushing the boundaries of what’s possible in building management!
“Innovation is the ability to see change as an opportunity, not a threat” – Steve Jobs
#CopyrightGranted #GIS #BuildingManagement #Innovation #ResearchImpact #SpatioTemporalData #UTM #RIB3M
FULLY-FUNDED PHD OPPORTUNITY IN 3D CITY MODELLING AND URBAN SUSTAINABILITY
Are you passionate about 3D Geospatial Technologies and sustainable development? Our research group is offering a fully-funded PhD position in an innovative research project focusing on urban energy-efficiency through cutting-edge 3D modeling techniques!
Key Details:
• Full Tuition Coverage
• Monthly Stipend
• Open to Local Malaysian Students
This 3-year PhD research will explore sustainable strategies and optimize OTTV parameters for enhancing energy-efficiency in smart cities. If you’re driven to make a lasting impact on the future of urban sustainability, this is your chance!
Key Areas:
• Geospatial Innovation: Driving urban development and environmental sustainability.
• Energy Efficiency: Optimizing OTTV for better cooling and energy use in cities.
Ready to shape the future? Apply now or learn more about this opportunity by contacting suhaibah@utm.my.
#PhDOpportunity #Sustainability #3DCityModeling #GeospatialInnovation #SmartCities #EnergyEfficiency #UTM #UrbanSustainability #Research