Dipankar Chaki and Athman Bouguettaya.
The objective is to develop a novel IoT service recommendation framework for multi-resident smart homes. Our motivation is to enhance the convenience and efficiency of the residents by recommending appropriate IoT services. However, different residents may have different preferences for using an IoT service in a home. For example, one resident may prefer the light to be “on” while watching TV, and another resident may prefer it to be “off” while watching TV. Hence, an IoT service conflict is raised. The project aims to build a novel conflict taxonomy that categorizes different types of conflicts. The taxonomy provides the baseline to design a conflict detection framework considering the functional and non-functional properties of IoT services. The project also aims to develop an adaptive service recommendation model which resolves all the conflicts and suggest available services to the residents to make their lives convenient and comfortable.
PhD Publications
– Conferences:
- Occupancy Estimation from Thermal Images. Zishan Qin, Dipankar Chaki, Abdallah Lakhdari, Amani Abusafia, and Athman Bouguettaya. ICSOC 2021, Virtual, Demo paper.
- Dynamic Conflict Resolution of IoT Services in Smart Homes. Dipankar Chaki, and Athman Bouguettaya. ICSOC 2021, Virtual.
- Adaptive Priority-based Conflict Resolution of IoT Services. Dipankar Chaki, and Athman Bouguettaya. ICWS 2021, Virtual.
- Fine-grained Conflict Detection of IoT Services. Dipankar Chaki, and Athman Bouguettaya. SCC 2020, Virtual.
- A Conflict Detection Framework for IoT Services in Multi-resident Smart Homes. Dipankar Chaki, Athman Bouguettaya, and Sajib Mistry. ICWS 2020, Virtual.