Shahram Latifi, IEEE Fellow, received the master of science and the Ph.D. degrees both in electrical and computer engineering from Louisiana State University, Baton Rouge, in 1986 and 1989, respectively. He is currently Professor of electrical engineering at UNLV. He has designed and taught courses and authored over 250 technical articles in the areas of networking, cybersecurity, image processing, biometrics, fault-tolerant computing, parallel processing, and data compression. His research has been funded by NSF, NASA, DOE, DoD, Boeing, Lockheed and Cray Inc. Dr. Latifi was Associate Editor of the IEEE Transactions on Computers (1999–2006), IEEE Distinguished Speaker (1997–2000), and Co-Founder and General Chair of the IEEE Int'l Conf. on Information Technology (2004–2021). Dr. Latifi is Recipient of several research awards, the most recent being the Silver State Research Award. He is also Registered Professional Engineer in the State of Nevada.

• Interpretable AI for MIS Security: PCA-Enhanced Machine Learning and LIME-Based Threat Explanation.- Ontology-Driven Threat Classification Using Splunk Logs andVirusTotal Threat Intelligence.- Beyond the Digital Divide: Inter-jurisdictional Infrastructure Dependencies and Cybersecurity Accessibility Challenges in Rural and Remote Communities, and Underserved Educational Populations.- Analyzing Social Media Content through Open-Source Intelligence (OSINT) for Recruitment and Exploitation in Human Trafficking in South Africa.- A New Lightweight Authentication Protocol for IoTs: LSIP.- The Role of Generative AI in Cybersecurity Defensive Operations for Critical Infrastructure.

Shahram Latifi, IEEE Fellow, received the master of science and the Ph.D. degrees both in electrical and computer engineering from Louisiana State University, Baton Rouge, in 1986 and 1989, respectively. He is currently Professor of electrical engineering at UNLV. He has designed and taught courses and authored over 250 technical articles in the areas of networking, cybersecurity, image processing, biometrics, fault-tolerant computing, parallel processing, and data compression. His research has been funded by NSF, NASA, DOE, DoD, Boeing, Lockheed and Cray Inc. Dr. Latifi was Associate Editor of the IEEE Transactions on Computers (1999–2006), IEEE Distinguished Speaker (1997–2000), and Co-Founder and General Chair of the IEEE Int'l Conf. on Information Technology (2004–2021). Dr. Latifi is Recipient of several research awards, the most recent being the Silver State Research Award. He is also Registered Professional Engineer in the State of Nevada.

• Interpretable AI for MIS Security: PCA-Enhanced Machine Learning and LIME-Based Threat Explanation.- Ontology-Driven Threat Classification Using Splunk Logs andVirusTotal Threat Intelligence.- Beyond the Digital Divide: Inter-jurisdictional Infrastructure Dependencies and Cybersecurity Accessibility Challenges in Rural and Remote Communities, and Underserved Educational Populations.- Analyzing Social Media Content through Open-Source Intelligence (OSINT) for Recruitment and Exploitation in Human Trafficking in South Africa.- A New Lightweight Authentication Protocol for IoTs: LSIP.- The Role of Generative AI in Cybersecurity Defensive Operations for Critical Infrastructure.

Shahram Latifi, IEEE Fellow, received the master of science and the Ph.D. degrees both in electrical and computer engineering from Louisiana State University, Baton Rouge, in 1986 and 1989, respectively. He is currently Professor of electrical engineering at UNLV. He has designed and taught courses and authored over 250 technical articles in the areas of networking, cybersecurity, image processing, biometrics, fault-tolerant computing, parallel processing, and data compression. His research has been funded by NSF, NASA, DOE, DoD, Boeing, Lockheed and Cray Inc. Dr. Latifi was Associate Editor of the IEEE Transactions on Computers (1999–2006), IEEE Distinguished Speaker (1997–2000), and Co-Founder and General Chair of the IEEE Int'l Conf. on Information Technology (2004–2021). Dr. Latifi is Recipient of several research awards, the most recent being the Silver State Research Award. He is also Registered Professional Engineer in the State of Nevada.

• Interpretable AI for MIS Security: PCA-Enhanced Machine Learning and LIME-Based Threat Explanation.- Ontology-Driven Threat Classification Using Splunk Logs andVirusTotal Threat Intelligence.- Beyond the Digital Divide: Inter-jurisdictional Infrastructure Dependencies and Cybersecurity Accessibility Challenges in Rural and Remote Communities, and Underserved Educational Populations.- Analyzing Social Media Content through Open-Source Intelligence (OSINT) for Recruitment and Exploitation in Human Trafficking in South Africa.- A New Lightweight Authentication Protocol for IoTs: LSIP.- The Role of Generative AI in Cybersecurity Defensive Operations for Critical Infrastructure.