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
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
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
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
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
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 AND MPhil OPPORTUNITIES AVAILABLE!
Over the past three days, I’ve shared three different posters, which indeed that we are offering three distinct fully-funded opportunities for passionate individuals looking to contribute to cutting-edge research:
1. PhD in 3D Geospatial Artificial Intelligence (Geo-AI) research – Pioneering research in geospatial AI to tackle urban sustainability challenges.
2. PhD in 3D City Modelling and Urban Sustainability research – Advancing energy efficiency in smart cities through innovative 3D modelling techniques.
3. Master of Philosophy (MPhil) in Sustainable Urban Design Framework research – Exploring the digital realm of City Information Modelling for sustainable urban futures.
Each opportunity offers full tuition coverage and a monthly stipend, exclusively for Malaysian students. If you’re passionate about geospatial innovation, AI, or urban sustainability, there’s an opportunity waiting for you.
For more details or to apply, feel free to reach out.
Let’s drive impactful research together.
#PhDopportunity #MPhilopportunity #ResearchFunding #GeospatialAI #SmartCities #UrbanSustainability #UTM #Research
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!
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
NEW PUBLICATION FROM OUR GROUP!
Our latest paper, “Navigating Immovable Assets: A Graph-Based Spatio-Temporal Data Model for Effective Information Management” has been published in the ISPRS International Journal of Geo-Information (IJGI)!
This research addresses the challenges of managing spatial and temporal data in asset management by introducing a graph-based spatio-temporal data model. Our approach integrates topological relationships and temporal sequences, using 3D city models and a NoSQL graph database to enhance asset management processes.
Key features include:
– A graph-based method for modeling building spaces using 3D data.
– A novel process model, Aggregated Directly-Follows Multigraph (ADFM), for temporal event management.
– Improved query efficiency and accuracy in managing complex asset data.
This work is a significant step forward in the field of geoinformatics and asset management, offering practical solutions for more effective decision-making.
You can read the full paper here:
– Website: https://www.mdpi.com/2220-9964/13/9/313
– PDF Version: https://www.mdpi.com/2220-9964/13/9/313/pdf
#AssetManagement #SpatioTemporalData #3DModeling #GraphDatabase #Geoinformatics #ResearchPublication