Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference
Language: English
Published by Springer New York, 2016
Series: Book 57 of 464 - Springer Proceedings in Mathematics & Statistics
- Softcover
- New
Condition: New
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Topics include applied mathematics, biology, statistics and biostatisticsResearch is presented in accessible format perfect for students and researchers alikePapers contributed are collaboration between faculty and advanced students.
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- Title
- Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference
- Author
- Rychtar, Jan|Gupta, Sat N.|Shivaji, Ratnasingham|Chhetri, Maya
- Publisher
- Springer New York
- Publication year
- 2016
- Condition
- New
- Binding
- Kartoniert / Broschiert
- Language
- English
- ISBN 10
- 1493954652
- ISBN 13
- 9781493954650
- Series
- Book 57 of 464: Springer Proceedings in Mathematics & Statistics
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Jan Rychtář is an associate professor of mathematics at the Department of Mathematics and Statistics at UNCG. He earned a Ph.D. in 2004 from the University of Alberta, and he joined the UNCG faculty the same year. He works in mathematical biology and game theory. With Mark Broom, he has co-authored a book “Game-theoretical models in biology”, and authored or co-authored over 45 papers in peer-reviewed journals. Since 2005, he organizes an annual UNCG Regional Mathematics and Statistics Conference. He has supervised research of over 30 undergraduate students and has served as an Interim Director of the UNCG Office of Undergraduate Research in 2012-2013. He is a councilor for mathematics and computer sciences of the Council of Undergraduate Research.
Dr. Sat Gupta received PhD in mathematics from University of Delhi (1977) and PhD in statistics from Colorado State University (1987). He taught at University of Delhi for 6 years, at University of Southern Maine for 18 years, and has been at UNC Greensboro since 2004. He became a Full professor in 1997. His main research area is sampling designs, particularly designs needed for collecting information on sensitive topics where there is a greater likelihood of respondent evasiveness and untruthfulness. He has collaborated with researchers from many fields including biology, marine biology, education, anthropology, psychology, medicine, nursing, and computer science. Some of these collaborative works have been funded by NSF, NIH and other funding agencies. He is founding editor of the Journal of Statistical Theory and Practice (http://www.tandfonline.com/loi/UJSP20) besides serving on the editorial boards of several other journals.
Dr. Ratnasingham Shivaji joined the University of North Carolina at Greensboro (UNCG) as H. Barton Excellence Professor and Head of the Department of Mathematics and Statistics in July 2011. Prior to joining UNCG, he served for twenty-sixyears at Mississippi State University (MSU), where he was honored as a W.L. Giles Distinguished Professor. He received his Ph.D in Mathematics from Heriot-Watt University in Edinburgh, Scotland in 1981 and his B.S (first class honors) from the University of Sri Lanka in 1977. Shivaji's area of specialization is partial differential equations, and in particular, nonlinear elliptic boundary value problems. His research work has applications in combustion theory, chemical reactor theory, and population dynamics, and has been funded by the National Science Foundation. To date, Shivaji has authored or coauthored one hundred and seventeen research papers, and served as thesis advisor for ten Ph.D. graduates.
Dr. Maya Chhetri is a professor of mathematics at the Department of Mathematics and Statistics at UNCG. She received her PhD from Mississippi State University in 1999 and joined UNCG the same year. She works in the area of differential equations and nonlinear analysis. In particular, her research interest is in the study of positive solutions of nonlinear boundary value problems, both ODEs and elliptic PDEs and their applications to other disciplines.
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