Please find the conference program for EAI MobiQuitous 2023. Online presentations will deliver be connected via Microsoft Teams.
Conference sessions will take place in Auditorium on the 7th floor – Room number: 080.07.001 and Lecture room on the 6th floor – Room number: 080.06.005.
Lunch and coffee breaks will take place in the balcony area on the 7th floor next to the conference venue.
Online Connection:
Auditorium on the 7th floor – Room number: 080.07.001
Microsoft Teams meeting
Meeting ID: 439 266 268 768
Passcode: hYAF8X
To be used in sessions: 1, 2, 4, 6, 8, 10, 12, 14 + Keynote speeches and Conference opening and closing.
Lecture room on the 6th floor – Room number: 080.06.005
Microsoft Teams meeting
Meeting ID: 461 046 089 648
Passcode: DcxtYK
To be used in sessions: 3, 5, 7, 9, 11, 13, 15
Day 1 – 14.11.2023 (Tuesday): Workshop and Doctoral Track
| 9:00 – 13:00 | Registration | |
| 13:00 – 14:00 | Lunch | Balcony area on the 7th floor |
| 14:00 – 16:00 | AutoQuitous Workshop Session 1 | Auditorium on the 7th floor |
| Towards Distributed Control under Deficient Communication with Mutli-agent Reinforcement Learning | ||
| Deep Learning Based Radio Frequency Fingerprint Identification By Exploiting Spatial Stereoscopic Features | Will be presented via Microsoft Teams | |
| Modeling Emergent Behaviour for Enhanced Autonomy in Cyber-Physical Systems | ||
| On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data | ||
| Cultural influence on autonomous vehicles acceptance | ||
| 14:00 – 15:30 | Doctoral Track | |
| 15:30 – 16:00 | Tea/Coffee Break | Balcony area on the 7th floor |
| 17:00 – 22:00 | Welcome Reception | Victoria Star Cruise Boat |
Day 2 – 15.11.2023 (Wednesday) – Main Conference
| 9:00 – 9:30 | Conference opening and welcome: EAI, General Chair & VIP guest | Auditorium on the 7th floor |
| 9:30 – 10:30 | Keynote speech 1: Distinguished Professor Saeid Nahavandi | Auditorium on the 7th floor |
| 10:30 – 11:00 | Invited Paper 1: Online Dynamic Path Planner for UAVs | Auditorium on the 7th floor |
| 11:30 – 13:00 | Session 1 – Tracking Session chair: Alpha Diallo | Auditorium on the 7th floor |
| Nod: Lightweight Continuous Neighbor Discovery on Everyday Devices | Will be presented via Microsoft Teams | |
| Decentralized Collaborative Inertial Tracking | ||
| High-Performance Features in Generalizable Fingerprint-based Indoor Positioning | Will be presented via Microsoft Teams | |
| 13:00 – 14:00 | Lunch | |
| 14:00 – 15:30 | Sessions 2 and 3 | |
| Session 2 – IoT Session chair: Ameer Ivoghlian | Auditorium on the 7th floor | |
| FaultBit : Generic and Efficient Wireless Fault Detection Using the Internet of Things | ||
| DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data | ||
| Federated Reinforcement Learning for Automated LoRaWAN Management in Industrial IoT | ||
| Session 3 – Federated Learning Session chair: Sinong Zhao | Lecture room on the 6th floor | |
| FedGCS: Addressing Class Imbalance in Long-Tail Federated Learning | Will be presented via Microsoft Teams | |
| FedRC: Representational Consistency Guided Model Uploading Mechanism for Asynchronous Federated Learning | Will be presented via Microsoft Teams | |
| RADEAN: A Resource Allocation Model Based on Deep Reinforcement Learning and Generative Adversarial Networks in Edge Computing | ||
| 15:30 – 16:00 | Tea/coffee break | |
| 16:00 – 17:30 | Sessions 4 and 5 | |
| Session 4 – Networks Session chair: Yaoyidi Wang | Auditorium on the 7th floor | |
| A Stream Data Service Framework for Real-time Vehicle Companion Discovery | Will be presented via Microsoft Teams | |
| KS-Autoformer: An Autoformer-based SOC Prediction Framework for Electric Vehicles | Will be presented via Microsoft Teams | |
| Deep Reinforcement Learning-based Multi-Node Collaborative Task Offloading Optimization in 6G Space-Air-Ground Integrated Networks | Will be presented via Microsoft Teams | |
| Session 5 – Activity Recognitions Session chair: Xiaozhou Ye | Lecture room on the 6th floor | |
| Cross-user activity recognition via temporal relation optimal transport | ||
| SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning | ||
| A Novel Method for Wearable Activity Recognition with Feature Evolvable Streams | Will be presented via Microsoft Teams | |
| Let’s Vibrate with Vibration: Augmenting Structural Engineering with Low-Cost Vibration Sensing |
Day 3: 16.11.2023 (Thursday) – Main Conference
| 9:00 – 11:00 | Sessions 6 and 7 | |
| Session 6 – Security Session chair: Avelino F. Zorzo | Auditorium on the 7th floor | |
| Research on Data Drift and Class Imbalance in Android Malware detection | Will be presented via Microsoft Teams | |
| Reputation-based Dissemination of Trustworthy Information in VANETs | Will be presented via Microsoft Teams | |
| Reputation Systems for Supply Chains: The Challenge of Achieving Privacy Preservation | Will be presented via Microsoft Teams | |
| Data Management in Appendable-block Blockchains: A Case Study for IT Life-cycle Management | ||
| Exploiting the Potential Anomaly Detection in Automobile Safety Data with Multi-type Neural Network | Will be presented via Microsoft Teams | |
| Session 7 – Urban/Mobile Crowdsensing Session chair: Yiran Huang | Lecture room on the 6th floor | |
| HAUM3: A Height Aware Urban Map Matching Mechanism | Will be presented via Microsoft Teams | |
| A resource-efficient approach of GNSS activation for pedestrian monitoring | ||
| A Data-driven Study on Pedestrian Walking Behaviour as Transitioning Different Spaces | ||
| Standardizing Your Training Process for Human Activity Recognition Models – A Comprehensive Review in the Tunable Factors | ||
| MyPath: Accessible Route Generation using Crowd-sensed Surface Information | Will be presented via Microsoft Teams | |
| 11:00 – 11:30 | Tea/coffee break | |
| 11:30 – 13:00 | Sessions 8 and 9 | |
| Session 8 – Edge Session chair: Chathurika Ranaweera | Auditorium on the 7th floor | |
| Shepard: Dynamic Placement of Microservices in the Edge-Cloud Continuum | Will be presented via Microsoft Teams | |
| Minimizing Data Retrieval Delay in Edge Computing | ||
| Bringing the Edge Home: Edge Computing in the Era of Emerging WLANs | ||
| Session 9 – Crowdsourcing, Platforms and Localization Session chair: Bingyi Sun | Lecture room on the 6th floor | |
| A Novel Task Assignment Adjustment Method in Spatial-temporal Crowdsourcing | Will be presented via Microsoft Teams | |
| PPS: A Publish-Process-Subscribe Middleware For Predictive Supply Chains | ||
| Gestalt Perceptual Calibration for Multi-agent Collaborative Localization | Will be presented via Microsoft Teams | |
| 13:00 – 14:00 | Lunch | |
| 14:00 – 15:00 | Keynote 2: Distinguished Professor Sanjay K Madria | Auditorium on the 7th floor |
| 15:00 – 15:30 | Invited Paper 2: Securing Wireless Communication in Critical Infrastructure: Challenges and Opportunities | Auditorium on the 7th floor |
| 15:30 – 16:00 | Tea/coffee break | |
| 16:00 – 17:30 | Sessions 10 and 11 | |
| Session 10 – IoT (ii) Session chair: Akhil Reddy Pallamreddy | Auditorium on the 7th floor | |
| A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications | ||
| LOADHoC: Towards the Automatic local Distribution of Computation using Existing IoT Devices | ||
| E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light | ||
| Session 11 – Activity Recognition and Prediction Session chair: Ryo Katsuma | Lecture room on the 6th floor | |
| Traffic Flow Prediction Using Uber Movement Data | Will be presented via Microsoft Teams | |
| Fingertip Air-Writing with Ambient Light | Will be presented via Microsoft Teams | |
| Global Optimal PnP Algorithm with Reverse Projection Error | Will be presented via Microsoft Teams | |
| Proposal of Word Prediction Method for Gaze Swipe Text Entry | ||
| 17:30 – 18:30 | Panel Discussion | Auditorium on the 7th floor |
| 19:00 – 23:00 | Conference Banquet | Garden Room, Level 1 Crown Towers |
Day 4: Friday (17.11.2023) – Main Conference
| 9:00 – 11:00 | Sessions 12 and 13 | |
| Session 12 – Machine Learning Session chair: Tatsuya Amano | Auditorium on the 7th floor | |
| Integrating Social Environment in Machine Learning Model for Debiased Recommendation | ||
| A Novel Deep Learning Model for Smartphone-based Human Activity Recognition | Will be presented via Microsoft Teams | |
| AIMSafe: EEG-based Driver Behavior Understanding via Attention and Incremental Learning Mechanisms | ||
| A multi-task learning framework with features based on behavioral pattern conversation | Will be presented via Microsoft Teams | |
| Efficient Parcel Damage Detection via Faster R-CNN: A Deep Learning Approach for Logistical Parcels’ Automated Inspection | Will be presented via Microsoft Teams | |
| Fall Detection and Assessment using Multitask Learning and Micro-Sized LiDAR in Elderly Care | ||
| Session 13 – Mobile Edge and Fog Computing Session chair: Van Vu Bui | Lecture room on the 6th floor | |
| Achieving Observability on Fog Computing with the use of open-source tools | Will be presented via Microsoft Teams | |
| Adaptive QoS-aware Task Offloading in Dynamic Mobile Edge Computing Environment | Will be presented via Microsoft Teams | |
| Discretization-based ensemble model for robust learning in IoT | ||
| Flute: Enabling a Battery-free and Energy Harvesting Ecosystem for the Internet of Things | ||
| Exploring Optimal Placement of Head-based Hierarchical Marking Menus on Smartphones | Will be presented via Microsoft Teams | |
| SDN-DMQTT : SDN-based Platform for Re-configurable MQTT Distributed Brokers Architecture | ||
| 11:00 – 11:30 | Tea/coffee break | |
| 11:30 – 12:00 | Invited Paper 3: SCORE: Scalable Contact Tracing Over Uncertain Trajectories | Auditorium on the 7th floor |
| 11:30 – 12:30 | Sessions 14 and 15 | |
| Session 14 – Mobile Augmented Reality and Applications for Mobile Computing Session chair: Qi Han | Auditorium on the 7th floor | |
| Quality Evaluation of Image Segmentation in Mobile Augmented Reality | Will be presented via Microsoft Teams | |
| Reading The Mind’s Eye: Detecting Trauma-Vulnerability In Individuals By Analyzing Attention Through Eye-Tracking | Will be presented via Microsoft Teams | |
| GUI2DSVec: Detecting Visual Design Smells Based on Semantic Embedding of GUI Images and Components | ||
| Session 15 – Interaction Technologies Session chair: Maria Spichkova | Lecture room on the 6th floor | |
| Mobile user experience from the lens of project-based learning | Will be presented via Microsoft Teams | |
| Evaluating Interactive Notifications for Medical Self-report: NOW Interactions User Studies | Will be presented via Microsoft Teams | |
| QA Reasoning Enhancement Model Based on the Fusion of Dictionary and Hierarchical Directed Graph | Will be presented via Microsoft Teams | |
| 12:30 – 13:00 | Conference Closing – General Chair | Auditorium on the 7th floor |