Tag Archives: academicresearch

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
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  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

CELEBRATING THE ANNUAL STAFF PERFORMANCE CEREMONY 

CELEBRATING THE ANNUAL STAFF PERFORMANCE CEREMONY 

Thank you to the organizers. This year, I couldn’t attend the Staff Excellence Awards Ceremony. A big thank you to those who represented me to collect the certificates. May this serve as a catalyst for the coming years.

#StaffExcellence #December3rd #CelebratingSuccess #GratitudeAndRecognition #MotivationForTheFuture #PerformanceAwards #HonoringAchievement #TeamworkAndGrowth #AnnualCeremony #InspiringExcellence #AchievingTogether

STRENGTHENING RESEARCH SKILLS – SYSTEMATIC LITERATURE REVIEW (SLR) TRAINING DAY 2

STRENGTHENING RESEARCH SKILLS – SYSTEMATIC LITERATURE REVIEW (SLR) TRAINING DAY 2

Day 2 of our Systematic Literature Review (SLR) training, continuing the journey of building strong research skills within my lab. Led by Hafiz Usman Mehmood, this personal coaching session for lab members focused on advanced techniques and practical applications of SLR.

Key topics covered included:

1. The PRISMA Framework

2. Thematic Analysis & Qualitative Synthesis

3. Structuring Papers & Reporting Results

“The beautiful thing about learning is that no one can take it away from you.” – B.B. King

These sessions aim to prepare our research group to confidently undertake systematic reviews, ensuring their work is rigorous and impactful. It’s rewarding to see the enthusiasm and dedication from everyone involved.

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

GREEN BELTS IN 3D – A NATURAL SOLUTION FOR TRAFFIC NOISE MITIGATION

GREEN BELTS IN 3D – A NATURAL SOLUTION FOR TRAFFIC NOISE MITIGATION

This is our latest publication titled “Traffic Noise Absorption and Propagation in a Three-Dimensional Spatial Environment” in Geoplanning: Journal of Geomatics and Planning.

This research explores the role of tree canopies as noise barriers using advanced LiDAR-based 3D models. By visualizing tree structures in 3D, we analyzed their noise absorption performance and identified how green belts can effectively reduce traffic noise propagation.

Okay the Key Findings:

-Tree leaves play a major role in absorbing noise.

-3D Convex Hull and Concave Hull methods improve canopy surface estimation.

-Voxel-based models provide better accuracy for leaf surface area and density analysis.

The study emphasizes the potential of green belts as cost-effective and sustainable noise mitigation solutions, particularly for developing countries.

Imagine quieter roads and healthier urban environments that is powered by nature and technology.

Read the full paper here: https://ejournal.undip.ac.id/index.php/geoplanning/article/download/60822/pdf

#NoisePollution #GreenInfrastructure #3DVisualization #TrafficNoise #Sustainability #UrbanPlanning #GeospatialTech #ResearchImpact

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

GIS AND DATA SCIENCE – A TWO SIDES OF THE SAME COIN

GIS AND DATA SCIENCE – A TWO SIDES OF THE SAME COIN

GIS and Data Science are essentially the same at their core, both involve analyzing and extracting insights from data.

The difference? GIS takes it a step further by adding location to the mix, transforming data into spatial data.

This extra layer of location allows us to visualize patterns, make more informed decisions, and solve complex challenges related to geography, urban planning, environment, and much more.

In other words, GIS = Data Science + Location, unlocking endless possibilities for spatial analysis.

Ready to explore how spatial data enhances traditional data analysis? Dive into these key data science terms that drive both fields forward!

#GIS #DataScience #SpatialData #LocationIntelligence #SpatialAnalysis #BigData #MachineLearning #GeoAI #SmartCities

OUR NEW PATENT GRANTED!

OUR NEW PATENT GRANTED!

Our team has been granted a patent by the Intellectual Property Corporation of Malaysia (MyIPO) for our research product titled “A Geoinformation-Based Assets Inventory” (Patent No. MY-204229-A). This achievement reflects the hard work and collaboration of an incredible team of experts.

“The only way to do great work is to love what you do.” – Steve Jobs

A huge congratulations to my fellow colleagues:

• Prof. Dr. Zulkepli Bin Majid

• Prof. Sr Dr. Maimunah Binti Sapri

• Prof. Madya Ts. Gs. Sr. Dr. Robiah Binti Suratman

• Prof. Madya Ts. Gs. Sr. Dr. Muhamad Uznir Bin Ujang (They said my name was too long for the banner!)

• Sr Dr. Mohd Farid Bin Ariff

• Ts. Gs. Dr. Azman Bin Ariffin

• Dr. Nor Suhaibah Binti Azri

• Dr. Salfarina Binti Samsuddin

• Dr. Norhadija Binti Darwin

• Dr. Khairulnizam Bin Idris

“Success is the sum of small efforts, repeated day in and day out.” – Robert Collier

This milestone showcases the potential of geoinformation systems in advancing asset management and opens new possibilities for future applications. Let’s keep pushing the boundaries of innovation!

Thank you to Fakulti Alam Bina dan Ukur and everyone who supported us in this journey. Onward to more innovations!

#PatentGranted #Geoinformation #AssetManagement #Innovation #TeamSuccess #ResearchImpact #MyIPO #StayMotivated