* 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

Artificial Immune Systems and Their Applications

Dipankar Dasgupta, Editor.
Springer-Verlag, November 1998.
ISBN: 3-540-64390-7

Artificial immune systems are highly distributed systems based on the principles of the natural system. This is a new and rapidly growing field offering powerful and robust information processing capabilities for solving complex problems. Like artificial neural networks, artificial immune systems can learn new information, recall previously learned information, and perform pattern recognition in a highly decentralized fashion.

This volume provides an overview of the immune system from the computational viewpoint. It discusses computational models of the immune system and their applications, and provides a wealth of insights on immunological memory and the effects of viruses in immune response. It will be of professional interest to scientists, academics, vaccine designers, and practitioners.

                                    The book is also available in Russian version.

Table of Contents

  1. Introduction
    1. An Overview of Artificial Immune Systems and Their Applications. Dipankar Dasgupta.
    2. The endogenous double plasticity of the immune network and the inspiration to be drawn for engineering artifacts. Hugues Bersini.
  2. Artificial Immune Systems: Models & Simulations
    1. The Central and the Peripheral Immune Systems: What is the Relationship? John Stewart and Jorge Carneiro.
    2. Immunology Viewed as the Study of an Autonomous Decentralized System. Lee A Segel and Ruth Lev Bar-Or.
    3. Immune Network: An Example of Complex Adaptive Systems. Debashish Chowdhury.
    4. Immunological Memory is Associative. Derek J. Smith, Stephanie Forrest, Alan S. Perelson.
    5. Estimating and Predicting the numbers of free HIV and Different types of T cells by nonlinear Kalman Filter. Wai-Yuan Tan and Zhihua Xiang.
    6. Modeling the Effects of Prior Infection on Vaccine Efficacy. Derek J. Smith, Stephanie Forrest, David H. Ackley, and Alan S. Perelson.
  3. Artificial Immune Systems: Applications
    1. Jisys: The development of an Artificial Immune System for real world applications. John Hunt, Jon Timmis, Denise Cooke, Mark Neal and Clive King.
    2. Decentralized Behavior Arbitration Mechanism for Autonomous Mobile Robot Using Immune Network. Yuji Watanabe, Akio Ishiguro and Yoshiki Uchikawa.
    3. Parallel Search for Multi-Modal Function Optimization with Diversity and Learning of Immune Algorithm. Toyoo Fukuda, Kazuyuki Mori and Makoto Tsukiyama.
    4. Immunized Adaptive Critic for an Autonomous Aircraft Control Application. K. Krishna Kumar and J. Neidhoefer.
    5. Blueprint for a Computer Immune System. Jeff Kephart, Gregory B. Sorkin, M. Swimmer, and R. White.
    6. An Anomaly Detection Algorithm Inspired by the Immune System. Dipankar Dasgupta and Stephanie Forrest.
    7. Immunity Based Management System for a Semiconductor Production Line. Toyoo Fukuda, Kazuyuki Mori and Makoto Tsukiyama