3D CITY MODELING IN NOISE AND AIR POLLUTION ASSESSMENT
Excited to share my latest publication in the Journal of Pollution! Our research introduces voxel-based modeling techniques, revolutionizing environmental monitoring.
Explore how our study leverages 3D city modeling to enhance accuracy in noise and air pollution assessments. From innovative voxelization to tailored Levels of Detail (LoD), we’re reshaping the future of environmental research.
Join us on this journey of advancing precision, efficiency, and the overall impact on human health and well-being.
Feel free to read and share the research findings: https://jpoll.ut.ac.ir/article_94546.html
GLOBAL COLLABORATION IN RESEARCH – WELCOMING ANOTHER POSTDOC FROM KING FAHD UNIVERSITY TO OUR SCIENTIFIC JOURNEY
Excited to share that my second postdoctoral staff application has been approved! Thrilled to be supervising exceptional talent from King Fahd University in Saudi Arabia, but he is originally from Cairo, Egypt. Looking forward to impactful collaboration and research advancements.
SOUNDSCAPES UNVEILED: ADVANCEMENTS IN 3D CITY MODELLING FOR 3D TRAFFIC NOISE VISUALIZATION
Excited to share our latest publication in the Geomatics and Environmental Engineering journal: “Calculation of Road Traffic Noise, Development of Data, and Spatial Interpolations for Traffic Noise Visualization in Three-dimensional Space.”
Our study delves into the essentials of 3D traffic noise visualization, emphasizing the critical role of noise observation points (NOPs) and advancements in spatial interpolations. Explore how TIN noise contours prove optimal for visualizing traffic noise levels, and how advanced kriging, such as empirical Bayesian kriging (EBK), provides a significant leap in 3D noise interpolation accuracy.
Check out the full paper for insights into refining noise visualization techniques! #TrafficNoise #SpatialInterpolations #Geomatics #EnvironmentalEngineering #ResearchInsights
Link to the full paper: https://www.gaee.agh.edu.pl/gaee/article/view/523/150
BOUNDLESS COMMITMENT: A STUDENT’S DRIVE IN SPATIAL ALGORITHM AND APPLICATIONS
Thrilled to share a heartening experience with my international exchange student at UTM! She specifically chose my Spatial Algorithm and Applications course, and during the test, I was amazed to see her dedication. Not only did she buy my digital book, but she also went the extra mile—printing, binding a physical copy, and even translating it into Chinese. Truly inspired by her commitment to learning!
BREAKING BOUNDARIES: A DEEP DIVE INTO 3D CITY MODELLING TOPOLOGY RULES IN GIS APPLICATIONS
Thrilled to share insights from our groundbreaking research: “Topology Models and Rules: A 3D Spatial Database Approach”. Our study delves into the intricate world of topological information, crucial for complex spatial analysis, particularly in describing the containment, adjacency, and connectivity of objects within a 3D space.
Traditionally, spatial databases have leaned on 2D topology mechanisms, often falling short in handling the intricacies of 3D topology functions. Our experiments, conducted within ArcGIS and Oracle spatial database, unveil the limitations of existing topology rules and models. Notably, while 2D geodatabase topology rules in ArcGIS effectively determine relationships between 2D multi-surfaces, they struggle with 3D objects.
Enter the 36-Intersection Model (36IM), the hero of our study. This innovative model, describing intersections from 0D to 3D, introduces a paradigm shift in handling topological relationships within Oracle. Our experiments showcase how 36IM topology rules bridge the gap, providing insights into dimensions of intersections and supporting the maintenance of topological information without breaking down 3D objects.
Curious to dive deeper into the world of 3D GIS, spatial databases, and the nuances of topology models? Explore our full paper for a comprehensive understanding of how 3D topology rules reshape the landscape of spatial data management. Elevate your knowledge and stay ahead in the evolving realm of GIS and 3D spatial databases!
SPATIAL SYMPHONY: 3D CITY MODELLING OF TRAFIC NOISE DECIBELS WITH HENK DE KLUJIJVER MODEL
Exciting news! Our recent publication in the prestigious Q1 journal “Noise Mapping” explores the intricacies of visualizing road traffic noise using the Henk de Klujijver model.
Delving into the challenges of 3D noise contours, we emphasize the critical role of noise observation points (Nops) within a 3D building model. Our study reveals that Triangular Irregular Network (TIN) interpolation outshines others, offering superior accuracy in 3D noise contour visualization.
Dive into the full paper to uncover insights that contribute to refining traffic noise planning policies and spatial interpolation techniques! #TrafficNoise #SpatialVisualization #NoiseMapping #ResearchDiscoveries
UNLOCKING URBAN SPACES: A 3D SPATIAL ANALYSIS OF TEMPORAL MAINTENANCE IN MULTI-USE HIGH-RISE BUILDINGS
Exciting news to share! Kudos to my PhD students, Usman and Syahiirah, for the publication of their joint paper in the Geomatics and Environmental Engineering journal – a Scopus Q3 indexed publication. Our paper, titled “3D Spatial Analysis of Temporal Maintenance for Multi-use High-rise Buildings: Case Study,” delves into the complexities of managing and maintaining spaces in high-rise buildings amidst urbanization.
Summary: The study focuses on implementing temporal maintenance management for high-rise building parcels within a 3D spatial database. It involves 3D space segmentation to analyze ownership and usage, spatial queries for temporal maintenance, and 3D spatial relationships to identify adjacent parcels affected by maintenance. This innovative approach ensures accurate representation and identification of spaces crucial for enhancing the quality of life in multi-use high-rise buildings.
Check out the insightful paper here: https://www.gaee.agh.edu.pl/gaee/article/view/638
BIG DATA SPATIAL MODELS FOR TEMPORAL GRAPH DATABASES SPATIAL QUERIES
Exciting news! Our recent IEEE publication, “Modelling Reoccurrence of Events in an Event-Based Graph Database for Asset Management,” explores efficient ways to handle recurring maintenance events in asset management.
We introduce three temporal graph data models, assessing their performance on synthetic datasets. The findings highlight the second model’s efficiency with smaller datasets and the third model’s prowess with big data scenarios.
These models go beyond asset management, providing a foundation for event-based data management using graph databases. Dive into the full paper for insights into optimizing asset maintenance and more!
Thrilled to announce my success in securing three awards! Huge thanks to the Faculty of Built Environment and Surveying and Universiti Teknologi Malaysia for their support in achieving the following awards:
1) Staff Excellence Award 2022
2) Prolific Award for Head of Research Grant 2022
3) Indexed Journal Writing Prolific Award 2022
While not present on stage, I extend my gratitude to the event organizers for this wonderful recognition.
Thrilled to announce I’ve been awarded a Professional Development Research University grant by UTM! Grateful for this opportunity and excited to contribute to cutting-edge research. Huge thanks to UTM for the trust and support. Ready for the next chapter! #ResearchGrant #UTMOpportunity #Gratitude
