Dr. Dipankar Dasgupta

Computational Intelligence (CI) constitutes an umbrella of techniques, has proven to be
flexible in solving dynamic and complex real-world problems. These techniques typically
include Machine Learning, Fuzzy Logic, Evolutionary Computation, Intelligent Agent Systems,
Neural Networks, Cellular Automata, Artificial Immune Systems, Game Theory and other
similar computational models. Cyber defense is a continuously changing attack landscape as
the software/hardware components are added and/or updated more frequently at different
layers of cyber systems for additional functionalities and/or improved usability while in many
cases these are not security-enabled. Attackers exploit these vulnerabilities and find attack
paths to compromise the target systems.

In this talk, I will discuss multi-faceted Computational Intelligent (CI) techniques which can
provide an efficient security paradigm to deal with influx of new threats in network
infrastructures and smart applications. I will cover some CI approaches which are used to
augment defense-in-depth and building zero-trust architectures and to add necessary security
enhancements to the design, development, testing and operation of cyber-enabled systems.

References:
• IEEE Symposium Series on Computational Intelligence (SSCI)-CICS, organizer: Dr. D. Dasgupta, since 2007.
• Machine learning in cybersecurity: a comprehensive survey. D Dasgupta, Z Akhtar, S Sen. The
Journal of Defense Modeling and Simulation, 2020. https://doi.org/10.1177/1548512920951275.

Biography:

IEEE Distinguished Speaker Dr. Dipankar Dasgupta is IEEE Fellow, NAI Fellow, NSF-Fulbright Distinguished Scholar (CoE), William Hill Professor of Computer Science and Director, Center for Information Assurance (CfIA) at The University of Memphis.

Dr. Dipankar Dasgupta is a Professor of Computer Science at the University of Memphis since January 1997. He is a leading figure in the application of bio-inspired and machine learning approaches to cyber defense. His groundbreaking works, including digital immunity, negative authentication, cloud insurance model, and Auth-Spectrum, have earned recognition in Computer World Magazine and other media outlets. With over 300 publications (including 4 patents), 22000+ citations, and an h-index of 67, Dr. Dasgupta's multidisciplinary research is highly acclaimed. He has received numerous awards, including the 2012 Willard R. Sparks Eminent Faculty Award and the 2014 ACM SIGEVO Impact Award. He also received five best paper awards in different international conferences and has been organizing Symposium on Computational Intelligence in Cyber Security at IEEE SSCI since 2007. Dr. Dasgupta is an IEEE Fellow, and NAI Fellow, an ACM Distinguished Speaker (2015-2020), an IEEE Distinguished Lecturer (2022-2024) and NSF-Fulbright Distinguished Scholar, 2024). He regularly serves as a panelist and keynote speaker and offers tutorials in leading computer science conferences and has given more than 350 invited talks in different universities and industries.

As the founding Director of the Center for Information Assurance (CFIA) at the University of Memphis, he has played a key role in education, training, and outreach activities on AI based cyber security and Information Assurance since 2004.

Address:The University of Memphis, , Memphis, Tennessee, United States, TN 38152