Dr. Dipankar Dasgupta
Dr. Dipankar Dasgupta, IEEE Fellow
William Hill Professor in Cyber Security
Director, Center for Information Assurance
Director, Intelligent Security Systems Research Laboratory
Dr. Dasgupta will organize IEEE Symposium on Computational Intelligence in Cyber Security (CICS 2022) at Singapore on December 4th to December 7th. Dr. Dasgupta is giving invited talk on Adaptive Multi-Factor Authentication & Cyber Identity at CEIRAS, Purdue University on September 28th.

Cyber Security

Among different research areas Negative Authentication, Adaption Multi-Factor Authentication, Smart-Grid Security are the current focus. Also Game Theory and Cyber Security (GTCS) group conducts cutting-edge research to explore how they can apply game theoretic approaches to address network security issues. Current projects that students are working on include Game Theory Inspired Defense Architecture (GIDA), and AVOIDIT: A Cyber Attack Taxonomy.

Artificial Immune Systems

This emerging field is sometimes referred to as Immunological Computation, Immunocomputing, or Artificial Immune Systems (AIS). Although it is still relatively new, AIS, having a strong relationship with other biology-inspired computing models, and computational biology, is establishing its uniqueness and effectiveness through the zealous efforts of researchers around the world.

Evolutionary Computation

Dipankar Dasgupta has been involved in the investigation of a more biologically motivated genetic search model - called the Structured Genetic Algorithm (sGA). The model uses some complex mechanisms of biological systems for developing a more efficient genetic search technique. Specifically, this model incorporates redundant genetic material and a gene activation mechanism which utilizes multi-layered genomic structures for the chromosome. The additional genetic material has many advantages in search and optimization. It mainly serves two purposes: primarily, it can maintain genetic diversity at all time during the search process, where the expected variability largely depends on the amount of redundancy incorporated in the encoding.

Dr. Dipankar Dasgupta published more than 292 research papers in book chapters, journals, and international conferences. He authored several books, published two edited volumes and co-edited several conference proceedings over the last 20 years. A search for "Dipankar Dasgupta" on Google Scholar shows a total count: 19,210+ citations. To get the current list of his publications from Google Scholar click here.

World Scientist Ranking:

     

1060


Google Scholar Entry:

   

(h-index: 68)


Scopus Entry:

     

162 co-authors


His name is listed among the top computer scientists whose h-index is above 59 (available at UCLA site ), thus, influencing the research community. One of his current researches is applying Computational Intelligence techniques in Network and Internet Security. For more information, please click here .


Editorial Board of journals


His work on "Password Immunizer" (based on Negative Authentication System) was submitted for patent. A demo illustrating the concept is available here.

His published books include:

If you are interested in any of the above mentioned research areas, contact the Computer Science Department for graduate programs.

Academic / Honorary Positions



2018-Present
William Hill Professor in Cybersecurity

The University of Memphis

2014-2019
Dr. Pat E. Burlison professorship

The University of Memphis

2011-2012
Willard R. Sparks Eminent Faculty

The University of Memphis

2007-2010
Dunavant Professorship

The University of Memphis

2004-Present
Full Professor

Computer Science, The University of Memphis

2003-2004
Visiting Scientist (Sabbatical Position)

NSA Ames Research Lab, California

2001- 2004
Associate Professor

Computer Science, The University of Memphis

1997- 2001
Assistant Professor

Computer Science, The University of Memphis

1995-1996
Visiting Assistant Professor

Computer Science, University of Missouri, St. Louis

1994-1995
Post Doctoral Research Associate

Computer Science, University of New Mexico, Albuquerque