Mobile Systems Design Lab

S. Thornton, N. Santhanam, R. Chhajer, and S. Dey, "Real-time Heterogeneous Collaborative Perception in Edge-enabled Vehicular Environments" to appear in IEEE Open Journal of Vehicular Technology (OJVT), 2025

S. Thornton and S. Dey, "Multi-Modal Data and Model Reduction for Enabling Edge Fusion in Connected Vehicle Environments," in IEEE Transactions on Vehicular Technology, vol. 73, no. 8, pp. 11979-11994, Aug. 2024, doi: 10.1109/TVT.2024.3378182

J. Chen and S. Dey, "Graph-Based Multi-Modal Multi-View Fusion for Facial Action Unit Recognition," in IEEE Access, doi: 10.1109/ACCESS.2024.3401168.

J. Chen, S. Dey, L. Wang, N. Bi and P. Liu, "Attention-Based Multi-Modal Multi-View Fusion Approach for Driver Facial Expression Recognition," in IEEE Access, doi: 10.1109/ACCESS.2024.3462352. 

Y. Zhang, S. Dey and Y. Shi, "Optimal Vehicle Charging in Bilevel Power-Traffic Networks via Charging Demand Function," in IEEE Transactions on Smart Grid, vol. 15, no. 3, pp. 3054-3065, May 2024, doi: 10.1109/TSG.2023.3327070.

B. Flowers, Y. -J. Ku, S. Baidya and S. Dey, "Utilizing Reinforcement Learning for Adaptive Sensor Data Sharing Over C-V2X Communications," in IEEE Transactions on Vehicular Technology, vol. 73, no. 3, pp. 4051-4066, March 2024, doi: 10.1109/TVT.2023.3322068. 

Y. Ku, S. Baidya and S. Dey, "Uncertainty-aware Task Offloading for Multi-vehicle Perception Fusion over Vehicular Edge Computing," to appear in IEEE Transactions on Vehicular Technology.

Y. Ku, B. Flowers, S. Thornton, S. Baidya, and S. Dey, “Adaptive C-V2X Sidelink Communications for Vehicular Applications Beyond Safety Messages,” 2022 IEEE 95th Vehicular Technology Conference (VTC-Spring), Helsinki, Finland, Jun. 2022, pp. 1-7

S. Thornton, B. Flowers and S. Dey, "Multi-Source Feature Fusion for Object Detection Association in Connected Vehicle Environments," in IEEE Access, vol. 10, pp. 131841-131854, 2022, doi: 10.1109/ACCESS.2022.3228735.

Y. -J. Ku, S. Baidya and S. Dey, "Adaptive Computation Partitioning and Offloading in Real-Time Sustainable Vehicular Edge Computing," in IEEE Transactions on Vehicular Technology, vol. 70, no. 12, pp. 13221-13237, Dec. 2021

J. Chen, S. Dey, L. Wang, N. Bi and P. Liu, "Multi-Modal Fusion Enhanced Model For Driver’s Facial Expression Recognition," 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Shenzhen, China, 2021, pp. 1-4, doi: 10.1109/ICMEW53276.2021.9455983.

B. Flowers, X. Zhang and S. Dey, "Low Overhead Codebook Design for mmWave Roadside Units Placed at Smart Intersections," 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Helsinki, Finland, 2021, pp. 366-372, doi: 10.1109/PIMRC50174.2021.9569638.

Y. Ku, P. Chiang and S. Dey, "Real-Time QoS Optimization for Vehicular Edge Computing With Off-Grid Roadside Units," in IEEE Transactions on Vehicular Technology, vol. 69, no. 10, pp. 11975-11991, Oct. 2020

S. Thornton and S. Dey, "Machine Learning Techniques for Vehicle Matching with Non-Overlapping Visual Features," 2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS), Victoria, BC, Canada, 2020, pp. 1-6, doi: 10.1109/CAVS51000.2020.9334562.

S. Baidya, Y. Ku, H. Zhao, J. Zhao, S. Dey, "Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications", in Proc. of 2020 57th ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, 2020, pp. 1-6

Y. Ku and S. Dey, “Sustainable Vehicular Edge Computing Using Local and Solar-Powered Roadside Unit Resources,” 2019 IEEE 90th Vehicular Technology Conference (VTC-Fall), Honolulu, HI, USA, Sep. 2019, pp. 1-7

Y. Ku, P. Chiang and S. Dey, “Quality of Service Optimization for Vehicular Edge Computing with Solar-Powered Road Side Units,” 2018 27th International Conference on Computer Communication and Networks (ICCCN), Hangzhou, China, Jul. 2018, pp. 1-10.