The primary focus of this research group is to develop new data-driven algorithms and techniques for solving real life problems. We also develop innovative and practical data driven solutions and applications for social good, scientific community, and for organizations in the areas of agriculture, security & surveillance, health, and education. We work in the intersection of data management, machine learning, and ubiquitous computing in the realm of big data. In particular, currently, our main research and innovation focuses are in the following areas:
- Spatial, Temporal, and Graph Data Management
- Social Media Data Analytics
- Practical Machine Learning and Ubiquitous Computing
Our research have been published in top ranking journals and conferences such as the VLDB Journal, Information Systems, WWWJ, DKE, ICDE, CIKM, EDBT, PVLDB, and UbiComp. Our research outcomes have also been implemented and applied in changing people’s lives in various domains.
Our team of academics and researchers is led by Professor Mohammed Eunus Ali. We welcome high-potential PhD, Masters and final year undergraduate students, who are interested in any of our focused research areas, to join our group and to make significant contributions in data science and engineering research. We are always open to new collaborations with both academics and industries, which will help us to enrich ourselves through the exchange of knowledge and ideas. For any query, please contact us at email@example.com.
The poster titled “Identification and Recognition of Rice Plant Diseases and Pest Using Convolutional Neural Network” presented by DataLab Research Assistants Chowdhury Rafeed Rahman and Preetom Saha Arko won the “Best Student Poster Award” at the 2018 5th International Conference on Networking, Systems and Security, December 18-20, 2018.
Md. Tareq Mahmood, also a Datalab Research Assistant, won the runner-up prize for his poster titled “Point-clouds to Rooms: A Deep Learning Based Approach”.
The research study titled “Temporal modeling of basic human values from social network usage” by Md. Saddam Hossain Mukta, Mohammed Eunus Ali, and Jalal Mahmud has been published in the Journal of the Association for Information Science and Technology (CORE rank: A*, Impact factor: 2.84).
Congratulations to the authors!
Our work titled “The Maximum Trajectory Coverage Query in Spatial Databases” by Mohammed Eunus Ali, Kaysar Abdullah, Shadman Saqib Eusuf, Farhana M. Choudhury, J. Shane Culpepper, and Timos Sellishas been accepted for publication in VLDB 2019 (CORE rank: A*, Impact factor: 7.094).
An undergraduate thesis work titled “The Flexible Socio Spatial Group Queries” by Bishwamittra Ghosh, Mohammed Eunus Ali, Farhana M. Choudhury, Sajid Hasan Apon, Timos Sellis, and Jianxin Li has been published in PVLDB.