* Research Sites *
Dr. Dipankar Dasgupta
333 Dunn Hall
Memphis, TN 38152-3240
phone: (901) 678-4147
fax: (901) 678-1506


Elevated to IEEE Fellow(Batch of 2015)
Distinguished ACM Speaker
Recipient of 2012 Willard R. Sparks Eminent Faculty Award.

Advisory Board Member of MIT in Cyber Security

Editorial Board of journals


* Principal Investigator *
Dr. Dasgupta will Organize IEEE Symposium on Computational Intelligence in Cyber Security (CICS 2017) at Hawaii, USA from November 27-December 1, 2017. Program Committee Member of the 1st IEEE International Workshop on Cyber Resiliency Economics (CRE 2016) , Vienna, Austria, August 1-3, 2016. Prof. Dasgupta will give an invited talk at the Computer Science Department, University of Tennessee, Knoxville, TN, April 7, 2016     Prof. Dasgupta will present a research paper at 11th Annual Cyber and Information Security Research (CISR) Conference will be held at the conference center at Oak Ridge National Laboratory, Oak Ridge, TN, April 4 - 6, 2016.     Prof. Dasgupta will give invited talk at Regional Symposium "Graduate Education and Research in Information Security",'GERIS'16, on March 8, 2016, at Binghamton University,Binghamton, New York.     Announcement for the available position in Research Assitant Professor (in Cyber Security)     Prof. Dasgupta was interviewed by a local TV Channel (FOX 13) and telecast on Feb. 19, 2016. Click here for Video.     Organized "Cybersecurity Certificate Course" foundational program at FedEx Institute of Technology,UofM, February 1-5, 2016.     Prof. Dasgupta gave an invited talk on 5th International Conference on Fuzzy and Neural Computing, FANCCO-2015, December 16-19, 2015.     Cluster to Advance Cyber Security & Testing (CAST) hosted Cybersecurity Lightning Talks at the FedEx Institute of Technology, afternoon of December 3, 2015     CfIA Receives Cyber Security Training Grant from FEMA     UofM's CfIA Will Develop Course for Mobile Device Security and Privacy Issues     Prof. Dasgupta gave an invited talk on Adaptive Multi-Factor Authentication at the Department of Electrical Engineering and Computer Science and CASE Center, Syracuse University, Syracuse, NY 13224-5040 November 18, 2015     Organize a Symposium on Computational Intelligence in Cyber Security (CICS) at IEEE Symposium Series on Computational Intelligence (SSCI,), December 7-10, 2015 at Cap Town, South Africa     Gave keynote speech at St. Louis at Cyber Security workshop (STL-CyberCon), University of Missouri-St. Louis, November 20, 2015     Prof. Dasgupta attended the NIST-NICE conference at San Diego from November 1-4, 2015     Prof. Dasgupta gave an invited talk at 9th International Research Workshop on Advances and Innovations in Systems Testing at FedEx Institute of Technology, the University of Memphis, October 20, 2015     Our Cyber Security Team got a second position on Cyber Defense Competition @CANSec 2015, held on 24th October at University of Arkansas at Little Rock


Team Members

Task-Based Sailor Assignment problem (TSAP)

This phase of the work will modify the GenoSAP package to include newly developed algorithms for matching sailors to the work load as defined by the requisition, and platform specific requirements for additional work that must be performed. Additionally, the job requirements are only able to be satisfied given some temporal constraints that must be taken into account when optimally matching a candidate to a job. Accordingly, investigate new genetic operators in multi-objective genetic algorithm (MOGA) optimization to match sailors to jobs within the given temporal constraints.

The TSAP is a complex assignment problem in which each of n sailors (where each sailor is having his/her own capacity) must be assigned one job drawn from a set of m tasks in a set of t time slots. The goal is to find a set of these assignments such that the overall desirability of the match is maximized, and the number of sailors working in the ship is minimized while considering the several constraints like the sum of resources for the assignment over given time should not exceed sailor's capacity, same sailor should not be assigned to multiple tasks in one time slot and the number of the sailors working in one time slot should be equal to the number of tasks required to be done in that time slot.

This project is funded under the Scientific Services Program (Task No. 08179), which is sponsored by the US Army Research Office and is managed by Battelle under Prime Contract No. W911NF-07-D-0001. The views, opinions, and/or findings contained in this report are those of the author(s) and should not be construed as an official Department of the Army position, policy, or decision, unless so designated by other documentation.


D. Dasgupta, F. Nino, D. Garrett, K. Chaudhuri, S. Medapati, A. Kaushal, J. Simien. "A Multiobjective Evolutionary Algorithm For The Task Based Sailor Assignment Problem". In the proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2009). Montreal, Canada: July, 8-12 2009.

G. Hernandez, D. Garrett, D. Dasgupta, F. Nino, A. Kaushal, P. K. Vejandla, K. Chaudhuri, S. Medapati, J. Simien. "Genetic-based Solutions to Variations of Navy’s Sailor Assignment Problem". Submitted to Applied Soft Computing Journal. June, 2009.