Data Science and Machine Learning Research Core
Date of approval: 2020 September 5
Core Secretary: Dr. Hossein Haqbin
Core activity axes
- building a strong line of communication with the business community to determine the needs for research and to conduct data science projects both inside and outside of the institution.
- Creating a suitable framework for interdisciplinary collaboration to create theses for supplemental data science education.
- Hosting scientific conferences and journals for data science clubs and inviting representatives from institutions and businesses to these conferences
Programs
- Publishing academic papers in top journals and data science conferences
- Conducting data science research projects both inside and outside of the university.
- Holding scientific conferences, publishing publications of data science clubs, and inviting representatives of organizations and businesses to these conferences
- Establishing an appropriate framework for interdisciplinary collaboration in order to specify theses for supplemental studies in the data science sector
- Building a strong communication channel with the business community to comprehend the needs for data science research