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KU Department of Mathematics Recognized at International Conference

September 4, 2015

KUTZTOWN, Pa. - Kutztown University's Department of Mathematics was recently highlighted for its cutting-edge work in applied mathematics at the 8th International Congress on Industrial and Applied Mathematics (ICIAM), Aug. 10 - 14, 2015, in Beijing, China.  KU was one of only nine institutions in the world to be recognized. 

ICIAM is organized by the International Council for Industrial and Applied Mathematics, the umbrella organization of professional applied mathematics societies world-wide, including the Society for Industrial and Applied Mathematics.

KU's Department of Mathematics' applied mathematics research was highlighted in a six minute video that was broadcast at the conference.  The video focuses on the 2002 seminal paper on the Cable-Trench Problem (CTP), which was authored by Dr. Francis Vasko, Dr. Ken Stott, Mr. Rob Barbieri, Dr. Brian Rieksts and Mr. Ken Reitmeyer.  Stott was a Bethlehem Steel researcher (now retired).  The other three co-authors are Kutztown University graduates.  Extensions and applications of this CTP work have been published world-wide in research journals. 

The video includes interviews with faculty members Dr. Francis Vasko, Dr. Eric Landquist, Dr. Yun Lu, and Dr. Paul Ache, recent computer science graduate, Mr. Ken Zyma as well as Kutztown University President, Dr. Kenneth Hawkinson and Acting Provost, Dr. Anne Zayaitz. 

In the video, Landquist discusses recently published work with Vasko on extensions of the CTP that have applicability to improving medical imaging. Zyma discusses his Master's thesis research in which he uses the CTP to find a cheaper cabling network to connect an array of radio telescopes for inclusion into LOFAR, the world's largest connected radio telescope. 

Members of the Kutztown University applied mathematics faculty are also very involved in the development of new solution approaches for solving complex combinatorial optimization problems that have many real-world applications.  In the video, Lu discusses the need for metaheuristics as key solution strategies for these very difficult problems. 

Links to the video: