Local IEEE CIS Chapter Meeting: Computational Intelligence in Cybersecurity

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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, Prof. Dipankar Dasgupta, Distinguished Lecturer of IEEE Computational Intelligence Society 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. He will cover some CI approaches which are used to augment defense-in-depth and build zero-trust architectures and to add necessary security enhancements to the design, development, testing and operation of cyber-enabled systems.



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  • Starts 22 October 2026 04:00 AM UTC
  • Ends 11 November 2026 11:00 PM UTC
  • No Admission Charge


  Speakers

Prof. Dipankar Dasgupta of University of Memphis

Topic:

Computational Intelligence in Cybersecurity

Computational Intelligence (CI) constitutes an umbrella of techniques, and 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, Prof. Dipankar Dasgupta, Distinguished Lecturer of IEEE Computational Intelligence Society 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. He will cover some CI approaches which are used to augment defense-in-depth and build zero-trust architectures and to add necessary security enhancements to the design, development, testing and operation of cyber-enabled systems.

 

Biography:

Dr. Dipankar Dasgupta is a Professor of Computer Science at the University of Memphis since January 1997. He is a leading expert 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 adaptive-authentication, have earned recognition in Computer World Magazine and other media outlets. With over 350 publications (including 4 patents), having 23000+ citations, and an h-index of 68 per Google Scholar, Dr. Dasgupta's multidisciplinary research is highly acclaimed. He has received numerous awards, including 2023 Presidential Award for Lifetime Achievement in Research, 2012 Willard R. Sparks Eminent Faculty Award and the 2014 ACM SIGEVO Impact Award. Among other awards: 2007 University’s College of Arts and Sciences awarded the Dunavant Professorship, a 3-year award for exceptional teaching, scholarship, service, and outreach achievement; twice received the College of Arts & Sciences Distinguished Research Award (2002, 2006); the Sigma Xi Research Paper Award (2003); Early Career Research Award (1999), and Dr. Pat E. Burleson’s Professorship (2007). Dr. Dasgupta’s research has been supported through several funding sources during last 30 years. He also received five best paper awards at 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 and 2026-2028), an IEEE Distinguished Lecturer (2022-2028) and NSF-Fulbright Distinguished Scholar, 2024). He regularly serves as a panelist and keynote speaker and offers tutorials at leading computer science conferences and has given more than 300 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 been playing a key role in education, training, and outreach activities on AI based cyber security and Information Assurance since 2004. The Center has continued to receive national designations such as Center of Academic Excellence in Education (CAE-CD) and Research (CAE-R).