192 citations · 249 across the 23 of their papers we have counts for
25 papers
Multi-Objective Load Balancing for Heterogeneous Edge-Based Object Detection Systems
Daghash K. Alqahtani, Maria A. Rodriguez, Muhammad Aamir Cheema +1
The rapid proliferation of the Internet of Things (IoT) and smart applications has led to a surge in data generated by distributed sensing devices. Edge computing is a mainstream a…
COL-Trees: Efficient Hierarchical Object Search in Road Networks
Tenindra Abeywickrama, Muhammad Aamir Cheema, Sabine Storandt
Location-based services rely heavily on efficient methods that search for relevant points-of-interest (POIs) near a given location. A k Nearest Neighbor (kNN) query is one such exa…
Energy-Efficient Path Planning with Multi-Location Object Pickup for Mobile Robots on Uneven Terrain
Faiza Babakano, Ahmed Fahmin, Bojie Shen +2
Autonomous Mobile Robots (AMRs) operate on battery power, making energy efficiency a critical consideration, particularly in outdoor environments where terrain variations affect en…
ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge
Daghash K. Alqahtani, Maria A. Rodriguez, Muhammad Aamir Cheema +2
Edge computing enables data processing closer to the source, significantly reducing latency, an essential requirement for real-time vision-based analytics such as object detection…
Smart Ride and Delivery Services with Electric Vehicles: Leveraging Bidirectional Charging for Profit Optimisation
Jinchun Du, Bojie Shen, Muhammad Aamir Cheema +1
With the rising popularity of electric vehicles (EVs), modern service systems, such as ride-hailing delivery services, are increasingly integrating EVs into their operations. Unlik…
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models
Mahir Labib Dihan, Md Tanvir Hassan, Md Tanvir Parvez +5
Recent advancements in foundation models have improved autonomous tool usage and reasoning, but their capabilities in map-based reasoning remain underexplored. To address this, we…
A Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices
Daghash K. Alqahtani, Muhammad Aamir Cheema, Maria A. Rodriguez +1
Modern applications such as autonomous vehicles, intelligent surveillance, and smart city systems increasingly require object detection on resource-constrained edge devices. Yet, t…
EHL*: Memory-Budgeted Indexing for Ultrafast Optimal Euclidean Pathfinding
Jinchun Du, Bojie Shen, Muhammad Aamir Cheema
The Euclidean Shortest Path Problem (ESPP), which involves finding the shortest path in a Euclidean plane with polygonal obstacles, is a classic problem with numerous real-world ap…
Beyond Data, Towards Sustainability: A Sydney Case Study on Urban Digital Twins
Ammar Sohail, Bojie Shen, Muhammad Aamir Cheema +4
As urban areas grapple with unprecedented challenges stemming from population growth and climate change, the emergence of urban digital twins offers a promising solution. This pape…
Enabling Spatial Digital Twins: Technologies, Challenges, and Future Research Directions
Mohammed Eunus Ali, Muhammad Aamir Cheema, Tanzima Hashem +2
A Digital Twin (DT) is a virtual replica of a physical object or system, created to monitor, analyze, and optimize its behavior and characteristics. A Spatial Digital Twin (SDT) is…
Tracking Progress in Multi-Agent Path Finding
Bojie Shen, Zhe Chen, Muhammad Aamir Cheema +2
Multi-Agent Path Finding (MAPF) is an important core problem for many new and emerging industrial applications. Many works appear on this topic each year, and a large number of sub…
Contact Tracing over Uncertain Indoor Positioning Data (Extended Version)
Tiantian Liu, Huan Li, Hua Lu +2
Pandemics often cause dramatic losses of human lives and impact our societies in many aspects such as public health, tourism, and economy. To contain the spread of an epidemic like…
An Intent-based Framework for Vehicular Edge Computing
TianZhang He, Adel N. Toosi, Negin Akbari +2
The rapid development of emerging vehicular edge computing (VEC) brings new opportunities and challenges for dynamic resource management. The increasing number of edge data centers…
Multi-Target Search in Euclidean Space with Ray Shooting (Full Version)
Ryan Hechenberger, Daniel Harabor, Muhammad Aamir Cheema +2
The Euclidean shortest path problem (ESPP) is a well studied problem with many practical applications. Recently a new efficient online approach to this problem, RayScan, has been d…
Unsupervised Space Partitioning for Nearest Neighbor Search
Abrar Fahim, Mohammed Eunus Ali, Muhammad Aamir Cheema
Approximate Nearest Neighbor Search (ANNS) in high dimensional spaces is crucial for many real-life applications (e.g., e-commerce, web, multimedia, etc.) dealing with an abundance…
DeepAltTrip: Top-k Alternative Itineraries for Trip Recommendation
Syed Md. Mukit Rashid, Mohammed Eunus Ali, Muhammad Aamir Cheema
Trip itinerary recommendation finds an ordered sequence of Points-of-Interest (POIs) from a large number of candidate POIs in a city. In this paper, we propose a deep learning-base…
Safest Nearby Neighbor Queries in Road Networks (Full Version)
Punam Biswas, Tanzima Hashem, Muhammad Aamir Cheema
Traditional route planning and k nearest neighbors queries only consider distance or travel time and ignore road safety altogether. However, many travellers prefer to avoid risky o…
Towards Crowd-aware Indoor Path Planning (Extended Version)
Tiantian Liu, Huan Li, Hua Lu +2
Indoor venues accommodate many people who collectively form crowds. Such crowds in turn influence people's routing choices, e.g., people may prefer to avoid crowded rooms when walk…
Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT
Muhammad Umair, Muhammad Aamir Cheema, Omer Cheema +2
COVID-19 has disrupted normal life and has enforced a substantial change in the policies, priorities and activities of individuals, organisations and governments. These changes are…
An Experimental Analysis of Indoor Spatial Queries: Modeling, Indexing, and Processing
Tiantian Liu, Huan Li, Hua Lu +2
Indoor location-based services (LBS), such as POI search and routing, are often built on top of typical indoor spatial queries. To support such queries and indoor LBS, multiple tec…
CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities
Syed Afaq Ali Shah, Weifeng Deng, Jianxin Li +2
Effective mining of social media, which consists of a large number of users is a challenging task. Traditional approaches rely on the analysis of text data related to users to acco…
Comparing Alternative Route Planning Techniques: A Comparative User Study on Melbourne, Dhaka and Copenhagen Road Networks
Lingxiao Li, Muhammad Aamir Cheema, Hua Lu +2
Many modern navigation systems and map-based services do not only provide the fastest route from a source location s to a target location t but also provide a few alternative route…
An Efficient Approximation Algorithm for Multi-criteria Indoor Route Planning Queries
Chaluka Salgado, Muhammad Aamir Cheema, David Taniar
A route planning query has many real-world applications and has been studied extensively in outdoor spaces such as road networks or Euclidean space. Despite its many applications i…
The Optimal Route and Stops for a Group of Users in a Road Network
Radi Muhammad Reza, Mohammed Eunus Ali, Muhammad Aamir Cheema
Recently, with the advancement of the GPS-enabled cellular technologies, the location-based services (LBS) have gained in popularity. Nowadays, an increasingly larger number of map…