Muhammad Aamir Cheema
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View article: Smart ride and delivery services with electric vehicles: Leveraging bidirectional charging for profit optimisation
Smart ride and delivery services with electric vehicles: Leveraging bidirectional charging for profit optimisation Open
View article: Energy-Efficient Path Planning with Multi-Location Object Pickup for Mobile Robots on Uneven Terrain
Energy-Efficient Path Planning with Multi-Location Object Pickup for Mobile Robots on Uneven Terrain Open
Autonomous Mobile Robots (AMRs) operate on battery power, making energy efficiency a critical consideration, particularly in outdoor environments where terrain variations affect energy consumption. While prior research has primarily focuse…
View article: Impact Analysis of Optimal EV Bi-directional Charging with Spatial-temporal Constraints
Impact Analysis of Optimal EV Bi-directional Charging with Spatial-temporal Constraints Open
The growth in Electric Vehicle (EV) market share is expected to increase power demand on distribution networks. Uncoordinated residential EV charging, based on driving routines, creates peak demand at various zone substations depending on …
View article: ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge
ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge Open
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 in surveillance and smart city environments. However, these…
View article: Smart Ride and Delivery Services with Electric Vehicles: Leveraging Bidirectional Charging for Profit Optimisation
Smart Ride and Delivery Services with Electric Vehicles: Leveraging Bidirectional Charging for Profit Optimisation Open
With the rising popularity of electric vehicles (EVs), modern service systems, such as ride-hailing delivery services, are increasingly integrating EVs into their operations. Unlike conventional vehicles, EVs often have a shorter driving r…
View article: Beyond Data, Towards Sustainability: a Sydney Case Study On Urban Digital Twins
Beyond Data, Towards Sustainability: a Sydney Case Study On Urban Digital Twins Open
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 paper presents a case study focusing on Sydney’s urban digital …
View article: Smart Ride and Delivery Services with Electric Vehicles: Leveraging Bidirectional Charging for Profit Optimisation
Smart Ride and Delivery Services with Electric Vehicles: Leveraging Bidirectional Charging for Profit Optimisation Open
View article: Reputrade: A Reputation-Based Deposit Consensus Mechanism for P2p Energy Trading
Reputrade: A Reputation-Based Deposit Consensus Mechanism for P2p Energy Trading Open
View article: MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models Open
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 introduce MapEval, a benchmark designed to assess foundatio…
View article: Beyond the Commute: Unlocking the Potential of Electric Vehicles as Future Energy Storage Solutions (Vision Paper)
Beyond the Commute: Unlocking the Potential of Electric Vehicles as Future Energy Storage Solutions (Vision Paper) Open
Electric vehicles (EVs) have the potential to serve as energy storage solutions through bidirectional charging technology, which allows them to both draw power from and feed power back into the grid, homes, or other vehicles. This capabili…
View article: Eco-Friendly Route Planning Algorithms: Taxonomies, Literature Review and Future Directions
Eco-Friendly Route Planning Algorithms: Taxonomies, Literature Review and Future Directions Open
Eco-friendly navigation (a.k.a. eco-routing) finds a route from A to B in a road network that minimizes the greenhouse gas (GHG) emission or fuel/energy consumption of the traveling vehicle. As road transport is a major contributor to GHG …
View article: EHL*: Memory-Budgeted Indexing for Ultrafast Optimal Euclidean Pathfinding
EHL*: Memory-Budgeted Indexing for Ultrafast Optimal Euclidean Pathfinding Open
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 applications. The current state-of-the-art solution, Euclidea…
View article: Beyond Data, Towards Sustainability: A Sydney Case Study on Urban Digital Twins
Beyond Data, Towards Sustainability: A Sydney Case Study on Urban Digital Twins Open
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 paper presents a case study focusing on Sydney's urban digital …
View article: Continuous monitoring of reverse approximate nearest neighbour queries on road network
Continuous monitoring of reverse approximate nearest neighbour queries on road network Open
Reverse Approximate Nearest Neighbor (RANN) query relaxes the RkNN definition of influence, where a user u can be influenced by not only its closest facility but also by every other facility that is almost as close to u as its closest faci…
View article: Load balancing for heterogeneous serverless edge computing: A performance-driven and empirical approach
Load balancing for heterogeneous serverless edge computing: A performance-driven and empirical approach Open
Serverless edge systems simplify the deployment of real-time AI-based Internet of Things (IoT) applications at the edge. However, the heterogeneity of edge computing nodes – in terms of both hardware and software – makes load balancing cha…
View article: Efficient Object Search in Game Maps
Efficient Object Search in Game Maps Open
Video games feature a dynamic environment where locations of objects (e.g., characters, equipment, weapons, vehicles etc.) frequently change within the game world. Although searching for relevant nearby objects in such a dynamic setting is…
View article: Energy management of smart homes over fog-based IoT architecture
Energy management of smart homes over fog-based IoT architecture Open
Existing research studies on home automation systems mostly conserve energy by modeling the occupancy of users within home. Some others apply statistical approaches on the survey data about usage of appliances. Consequently, these research…
View article: Efficiently computing alternative paths in game maps
Efficiently computing alternative paths in game maps Open
Alternative pathfinding requires finding a set of k alternative paths (including the shortest path) between a given source s and a target t . Intuitively, these paths should be significantly different from each other and meaningful/natural…
View article: Beyond Pairwise Reasoning in Multi-Agent Path Finding
Beyond Pairwise Reasoning in Multi-Agent Path Finding Open
In Multi-Agent Path Finding (MAPF), we are asked to plan collision-free paths for teams of moving agents. Among the leading methods for optimal MAPF is Conflict-Based Search (CBS), an algorithmic family which has received intense attention…
View article: Ultrafast Euclidean Shortest Path Computation Using Hub Labeling
Ultrafast Euclidean Shortest Path Computation Using Hub Labeling Open
Finding shortest paths in a Euclidean plane containing polygonal obstacles is a well-studied problem motivated by a variety of real-world applications. The state-of-the-art algorithms require finding obstacle corners visible to the source …
View article: Enabling Spatial Digital Twins: Technologies, Challenges, and Future Research Directions
Enabling Spatial Digital Twins: Technologies, Challenges, and Future Research Directions Open
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 a specific type of digital twin that emphasizes the geospa…
View article: Tracking Progress in Multi-Agent Path Finding
Tracking Progress in Multi-Agent Path Finding Open
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 substantial advancements and performance improvements have bee…
View article: Serverless Vehicular Edge Computing for the Internet of Vehicles
Serverless Vehicular Edge Computing for the Internet of Vehicles Open
Rapid growth in the popularity of smart vehicles and increasing demand for vehicle autonomy brings new opportunities for vehicular edge computing (VEC). VEC aims at offloading the time-sensitive computational load of connected vehicles to …
View article: Contact Tracing over Uncertain Indoor Positioning Data (Extended Version)
Contact Tracing over Uncertain Indoor Positioning Data (Extended Version) Open
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 COVID-19, efficient and effective contact tracing is impor…
View article: An Intent-based Framework for Vehicular Edge Computing
An Intent-based Framework for Vehicular Edge Computing Open
The rapid development of emerging vehicular edge computing (VEC) brings new\nopportunities and challenges for dynamic resource management. The increasing\nnumber of edge data centers, roadside units (RSUs), and network devices,\nhowever, m…
View article: Beyond Data, Towards Sustainability: A Sydney Case Study on Urban Digital Twins
Beyond Data, Towards Sustainability: A Sydney Case Study on Urban Digital Twins Open
View article: An Efficient Approach for Indoor Facility Location Selection
An Efficient Approach for Indoor Facility Location Selection Open
View article: CommuNety: deep learning-based face recognition system for the prediction of cohesive communities
CommuNety: deep learning-based face recognition system for the prediction of cohesive communities Open
View article: Multi-Target Search in Euclidean Space with Ray Shooting (Full Version)
Multi-Target Search in Euclidean Space with Ray Shooting (Full Version) Open
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 developed, based on ray shooting and polygon scanning. In th…
View article: Unsupervised Space Partitioning for Nearest Neighbor Search
Unsupervised Space Partitioning for Nearest Neighbor Search Open
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 of data. This paper proposes an end-to-end learning framew…