Tag Archives: 3d gis

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
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  3. Managing Multiple Version Files in CityJSON
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  4. High-Rise Building Maintenance Research: Trends, Key Contributions, and Future Directions
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  5. 3D City Information Modelling-Based Access Audit for Heritage Townscape Appraisal
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  6. Assessment and Visualisation of Space Cooling Demand in 3D City Models
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  7. A Temporal Post-Occupancy Risks Management Model for High-Rise Strata via 3D City Modelling Approach
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  8. Reviewing the Versioning in 3D City Models to Track Building History and Progress
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  9. Assessing and Addressing Energy Cooling Demand in Malaysia’s Buildings: A Comprehensive Review
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  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

ANOTHER INTELLECTUAL PROPERTY (IP) COPYRIGHT APPROVAL GRANTED!

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

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

ONE IN A MILLION OPPORTUNITY – FULLY FUNDED PHD IN 3D GEOSPATIAL AI (GEO-AI)

ONE IN A MILLION OPPORTUNITY – FULLY FUNDED PHD IN 3D GEOSPATIAL AI (GEO-AI)

I am pleased to announce a 3-year fully-funded PhD position from 2024 to 2027, focusing on cutting-edge research in 3D Geospatial Artificial Intelligence (Geo-AI).

This research will be supervised by me, providing the opportunity to work closely on innovative solutions addressing urban sustainability challenges using state-of-the-art 3D geospatial analysis and AI models.

The PhD grant covers:

• Full tuition fee for the entire PhD duration

• Monthly allowance throughout the 3-year period

Eligibility:

• Open to local Malaysian students

• Strong interest in geospatial sciences, AI, and environmental sustainability

For more information or to apply, please contact me at mduznir@utm.my.

Come and join our group and push the boundaries of 3D geospatial AI.

#PhDOpportunity #GeoAI #GeospatialScience #AI #UrbanSustainability #UTM #Research #Innovation

NEXT YEAR EVENT: KEYNOTE SPEAKER AT PCIVI2025 IN LONDON!

NEXT YEAR EVENT: KEYNOTE SPEAKER AT PCIVI2025 IN LONDON!

I’ve been invited to serve as a Keynote Speaker at the Precision Global Forum on Civil, Structural, and Environmental Engineering (PCIVI2025), scheduled to be held from August 11-13, 2025, in London, UK.

This prestigious event, hosted by Reoozvelt, will bring together experts and professionals from around the world to discuss and share knowledge on key subjects in civil, structural, and environmental engineering. It’s an honor to contribute to this global platform and engage with fellow industry leaders.

Looking forward to enriching discussions and sharing insights at this significant forum. Many thanks to the PCIVI2025 organizing committee for this wonderful opportunity!

#PCIVI2025 #KeynoteSpeaker #CivilEngineering #StructuralEngineering #EnvironmentalEngineering #Conference2025 #Innovation

EXCITING NEWS! WE’VE SECURED MULTIPLE RESEARCH GRANTS!

EXCITING NEWS! WE’VE SECURED MULTIPLE RESEARCH GRANTS!

I’m thrilled to share that we’ve successfully secured three research grants. 

The research grants are:

Research #1: 3D Geo-AI in Evaluating Urban Impacts – RM124,770.00 (3 years)

Research #2: 3D City Model Sustainable Urban Design and Modelling – RM68,990.00 (2 years)

Research #3: 3D City Modelling for Energy Management with a budget of RM116,000.00 (3 years).

Out of the four grants approved for Geoinformation, we secured three, and we’ve received the highest budgets in the faculty for Research #1, with overall totaling amount of RM309,760.00!

Let’s stay focused and keep the momentum going with more impactful research! What a busy research years ahead!

#ResearchSuccess #Geoinformation #Geo-AI #3DModeling #UrbanPlanning #SustainableCities #Innovation