Category Archives: Research

3D GIS Lab Iftar Gathering 2025

3D GIS Lab Iftar Gathering 2025

Yesterday, we’re treating the entire lab to iftar. It was a wonderful evening spent with my postgraduate students at our annual Iftar session! Great food, meaningful conversations, and a strong sense of camaraderie made it a truly memorable event.

Date: 13 March 2025

Venue: Gleneagles Terrace Restaurant, Pulai Springs Resort

In research, we push boundaries, tackle challenges, and work tirelessly towards innovation. But moments like this remind us that beyond hard work, we need time to connect, reflect, and recharge. A well-balanced journey is what keeps us moving forward.

A heartfelt thank you to everyone who joined and made this gathering special. Looking forward to more moments like this in the future!

4TH CHAPTER COMPLETED – 4 CHAPTERS IN 2 WEEKS

4TH CHAPTER COMPLETED – 4 CHAPTERS IN 2 WEEKS

Finally, it’s a wrap! Chapter 4 is done, 5,800 words, 16 pages, and 40 references, completed in just 6 hours. Had to put it on hold on Wednesday, but today I squeezed in 1.5 hours to finish it strong.

This marks a major milestone, 4 book chapters completed in just 2 weeks. It wasn’t easy, but persistence and time management made it happen. One key takeaway: avoid multitasking, focus leads to faster and better results.

Every chapter is a challenge, and every challenge is a step forward. Alhamdulillah for the progress. Now, on to the next one!

SUCCESSFUL VIVA FOR UiTM MASTER’S STUDENT!

SUCCESSFUL VIVA FOR UiTM MASTER’S STUDENT!

Congratulations to Muhammad Naim Bin Ramli from UiTM Shah Alam for successfully defending his Master of Science (Built Environment) thesis! His research, titled “Development of Precision Disease Mapping for Tuberculosis Using UAV and GIS Techniques,” showcases the power of geospatial technology in tackling public health challenges.

It was an honor to serve as the External Examiner for this viva examination. The panel included:

Chairperson: Prof. Madya LAr Ts Dr. Alamah Misni (UiTM Puncak Alam)

External Examiner: Prof. Madya Ts. Gs. Sr Dr. Muhamad Uznir Ujang (Universiti Teknologi Malaysia)

Internal Examiner: Gs Dr. Nafisah Khalid (UiTM Shah Alam)

Main Supervisor: Prof. Madya Ts Gs Dr. Abdul Rauf Abdul Rasam (UiTM Shah Alam)

Co-Supervisor: Dr. Mohd Adly Bin Rosly (UiTM Perlis)

Minutes-Taker: Dr. Fazly Amir Mohd (UiTM Perlis)

Wishing Muhammad Naim all the best in his future research and career. May this milestone open more doors in the geospatial and health research fields!

#VivaSuccess #GeospatialHealth #GISForPublicHealth #UAVMapping #AcademicAchievement #UiTM #GISResearch

ANOTHER RESEARCH ARTICLE

ANOTHER RESEARCH ARTICLE

Got another journal article for 2025. It’s indexed in the Web of Science and even has a quartile ranking, which is quite decent.

Despite my daily workload and other responsibilities, I make it a priority to write and publish my own journal articles. Lately, I’ve noticed a trend where lecturers rely heavily on students to write journals, and worse, the lecturers end up as the main authors (first in the author name list). It should be the other way around, the students should rely on the supervisor for journal writing. 

It’s undeniable that lecturers’ responsibilities are demanding, but academic writing is something that should be done by lecturers themselves, no matter how busy we are.

This journal will take a while to be officially published, scheduled for July 2025, but it’s a strong start to the year. With two high-impact research publications in January 2025, I couldn’t be more grateful.

Stay tuned for the article in July! 

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

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

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