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Staff Directory
Fahmida
Nilufar
Chowdhury
| Email:
fchowdhu@nsf.gov
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| Phone:
(703) 292-4672
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| Fax:
(703) 292-9083
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| Room:
907 N
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| Organization:
SBE
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| Title:
Program Director, Cross Disciplinary Activities
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Program Responsibilities:
Cross-Directorate Activities
(CDA)
Minority Postdoctoral Research Fellowships and Supporting Activities
Biography:
Dr. Fahmida Chowdhury joined the National Science Foundation as Program Director for the Cross- Directorate Activities Program (CDA) in February 2008. In 2005 she served as Program Director (on rotation from the University of Louisiana) for NSF Graduate Research Fellowship Program, and in 2006 for the NSF ADVANCE program. Prior to joining NSF in 2008, she was Professor of Electrical and Computer Engineering at the University of Louisiana, Lafayette, LA, where she held the W. Hansen Hall and Mary O. Hall Endowed Chair in Computer Engineering. She has also held academic positions at Michigan Technological University, Southern University (Baton Rouge), Louisiana State University and Bangladesh University of Engineering and Technology. She received a combined BSc/MSc degree (with High Honors) in electromechanical engineering from Moscow Power Engineering Institute, Moscow, Russia, in 1980. She obtained her PhD in electrical engineering (major: system theory; minor: mathematics), from Louisiana State University, Baton Rouge, Louisiana in 1988. She was a Fulbright Fellow in 2001. Currently she serves on the editorial boards of two IEEE (Institute of Electrical and Electronics Engineers) Transactions - Control Systems Technology and Neural Networks, as well as the International Journal of Applied Mathematics and Computer Science. Her current research interests include complex systems modeling and analysis, applications of dynamic systems theory in Social, Behavioral and Economic Sciences, and detection of abnormal conditions (faults) in dynamic systems. She is interested in robust system design via active detection and adaptation, as opposed to simple redundancy or other passive techniques, because passive robustness frequently results in reduced optimality. She is also interested in artificial neural networks as a tool for modeling and estimating dynamic systems. In addition to her technical interests and contributions, she has worked throughout her career for the cause of broadening participation of under-represented groups in STEM fields.
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