Texas A&M Research Institute for Foundations of Interdisciplinary Data Science (FIDS)

Texas A&M Research Institute for Foundations of Interdisciplinary Data Science (FIDS)

 

Principal Investigator:
Bani K. Mallick, Distinguished Professor, Department of Statistics, TAMU


Co-Principal Investigators:
Dilma Da Silva, Department of Computer Science, TAMU
Ronald Devore, Deparment of Mathematics, TAMU
Nicolas Duffield, Department of Electrical Engineering, TAMU
Panganamala Kumar, Department of Electrical Engineering, TAMU


Investigators:

TAMU Department of Statistics:
Anirban Bhattachary, Associate Professor
Raymond Carroll, Distinguished Professor
Irina Gaynanova, Assistant Professor
Jianhua Huang, Acting Department Head & Graduate Advisor
Mikyoung Jun, Director of MS Programs & Professor 
Matthias Katzfuss, Associate Professor
Debdeep Pati, Associate Professor
Huiyan Sang, Director of Undergraduate Program & Associate Professor
Raymond Wong, Assistant Professor

TAMU Department of Mathematics:
Yalchin Efendiev, Professor & Mobil Chair in Computational Science 
Simon Foucart, Professor
Boris Hanin, Assistant Professor
Guergana Petrova, Professor

TAMU Department of Electrical Engineering:
Dileep Kalathil, Assistant Professor
Krishna Narayanan, Professor 
Xiaoning Qian, Associate Professor 
Le Xie, Professor

TAMU Department of Computer Science:
Xia (Ben) Hu, Assistant Professor

TAMU Department of Industrial Engineering:
Yu Ding, Professor
Shahin Shahrampour, Assistant Professor
Rui Tuo, Assistant Professor

TAMU Department of Information and Operation Management:
Ravi Sen, Associate Professor

 

Mission

Data Science is rapidly evolving as an essential interdisciplinary field, where advances often result from a combination of ideas from several disciplines. New types of data have emerged and present tremendous complexities and challenges that require a novel way of interdisciplinary thinking. The Texas A&M Research Institute for Foundations of Interdisciplinary Data Science (FIDS) will bring together researchers from six disciplinary areas, Statistics, Electrical Engineering, Mathematics, Computer Science, Industrial Engineering and information and Operation Management to conduct research on the foundations of data science motivated by problems arising in bioinformatics, the energy arena, power systems, and transportation systems. This Institute for Foundations of Interdisciplinary Data Science will be well-positioned to develop rigorous theories, novel methodologies, and efficient computational techniques to solve data challenges in many other application domains.

 

The TAMU FIDS is supported by a $1.5 million grant from the National Science Foundation’s Transdisciplinary Research in Principles of Data Science (TRIPODS) initiative.