Sanjoy Das

Sanjoy Das is an associate professor in the Department of Electrical & Computer Engineering at Kansas State University. He received a Ph.D. in Electrical Engineering from Louisiana State University in 1994. He was a postdoctoral researcher at the University of California, Berkeley and the Smith-Kettlewell Institute between 1994 and 1997. Until 2001 he held various research appointments in the industry. Prof. Das’s research interests include computational intelligence, bio-inspired computing, and their applications to genomics (especially gene regulatory network modeling). He has published over 100 research papers in journals, books and conference proceedings. His research has been funded by the U.S. National Science Foundation, the U.S. Department of Agriculture, and the U.S. Department of Defense.

Publications

Handbook of Research on Computational Methodologies in Gene Regulatory Networks
Sanjoy Das, Doina Caragea, Stephen Welch, William H. Hsu. © 2010. 740 pages.
Recent advances in gene sequencing technology are now shedding light on the complex interplay between genes that elicit phenotypic behavior characteristic of any given organism....
Nature Inspired Methods for Multi-Objective Optimization
Sanjoy Das, Bijaya K. Panigrahi, Shyam S. Pattnaik. © 2010. 14 pages.
This chapter focuses on the concepts of dominance and Pareto-optimality. It then addresses key issues in applying three basic classes of nature inspired algorithms – evolutionary...
Artificial Immune Systems for Anomaly Detection
Eduard Plett, Sanjoy Das, Dapeng Li, Bijaya K. Panigrahi. © 2010. 19 pages.
This chapter introduces anomaly detection algorithms analogous to methods employed by the vertebrate immune system, with an emphasis on engineering applications. The basic...
Multi-Objective Evolutionary Algorithms
Sanjoy Das, Bijaya K. Panigrahi. © 2009. 7 pages.
Real world optimization problems are often too complex to be solved through analytical means. Evolutionary algorithms, a class of algorithms that borrow paradigms from nature...
Nelder-Mead Evolutionary Hybrid Algorithms
Sanjoy Das. © 2009. 6 pages.
Real world optimization problems are often too complex to be solved through analytic means. Evolutionary algorithms are a class of algorithms that borrow paradigms from nature to...
Ant Colony Algorithms for Steiner Trees: An Application to Routing in Sensor Networks
Gurdip Singh, Sanjoy Das, Shekhar V. Gosavi, Sandeep Pujar. © 2008. 25 pages.
This chapter introduces ant colony optimization as a method for computing minimum Steiner trees in graphs. Tree computation is achieved when multiple ants, starting out from...
Ant Colony Algorithms for Steiner Trees: An Application to Routing in Sensor Networks
Gurdip Singh, Sanjoy Das, Shekhar V. Gosavi, Sandeep Pujar. © 2005. 26 pages.
This chapter introduces ant colony optimization as a method for computing minimum Steiner trees in graphs. Tree computation is achieved when multiple ants, starting out from...