Computer Science, Cybersecurity, Data Mining
Dr. Sikha Bagui, Distinguished University Professor and Askew Fellow, was former Chair of the Department of Computer Science and Founding Director of the Center for Cybersecurity at The University of West Florida. Dr. Bagui is active in publishing peer reviewed journal articles in the areas of database design, data mining, Big Data analytics, Machine Learning and AI. Dr. Bagui has worked on funded as well unfunded research projects and has 85+ peer reviewed publications, some in highly selected journals and conferences. She has authored several books on database and SQL, and her books have been translated into several different languages and have international editions. Dr. Bagui also serves as Associate Editor and is on the editorial board of several journals. Degrees & Institutions: Ed.D., Curriculum & Instruction: Math & Stat / Science/ Computer Science, University of West Florida M.B.A., University of Toledo B.S., Cuttington University (Liberia) Research: Interests: Big Data Analytics, Machine Learning, Data Mining, Database Design, Data Pre-Processing Grant Funding: NSF CSForALL: $300,000, 10/1/2021-09/30/2023 NSF Collaborative: RAPID, $50,000, 01/25/2021 - 04/30/2021 NSF Collaborative: Elements: RUI: $350,000, 01/25/2021-10/31/2022 NSA NCAE: $375,511, 9/22/2021-12/31/2024 Center for Inclusive Computing: $60,000, 1/2021 – 1/2023 Current Courses: Database Systems Introduction to Big Data Analytics Advanced Big Data Analytics Introduction to Data Mining Advanced Data Mining Project (Special topics on Data Mining, Machine Learning and Big Data Analytics)
computer science and engineering, Data Mining, Machine Learning
Director of Graduate Studies, Computer Science and Engineering My research is in machine learning, network science, and social media. Generally speaking, I am interested in uncovering how humans consume and curate information. Web and Social Media Disinformation & fake news Data mining Machine learning Education: Ph.D., Computer Science, University of Illinois at Urbana-Champaign, 2013
Data Mining, Geopolitics, International Security, Nuclear Weapons, open source data
Baxter teaches courses on international and national security, nuclear weapons and proliferation, data analytics and open-source intelligence.
Baxter’s research focuses on nuclear weapons, geopolitics and risk, data analytics and innovative methodologies in assessing emerging threats, in particular at the nexus of technology and security.
Baxter earned a bachelor's degree in political science and history at Grove City College, a master's degree in public policy at George Mason University and a doctorate in international affairs, science, and technology with a technical minor in nuclear engineering at Georgia Institute of Technology.
His research has appeared in International Areas Studies Review, Journal of Cybersecurity, Review of Policy Research, Science and Diplomacy, Federation of American Scientists’ Public Interest Reports, Arms Control Wonk, and Real Clear Defense. He is the co-editor and contributor to the Routledge published, Nuclear Modernization in the 21st Century, which examines the extent to which nuclear weapons modernization has become a significant point of concern and consideration in international security. He is a member of International Studies Association, American Political Science Association, and the International Network for Social Network Analysis, as well as an advisory board member of the Rowman & Littlefield book series on weapons of mass destruction.
Jerry L. Maulden-Entergy Endowed Chair and Distinguished Professor of Information Science at the University of Arkansas at Little Rock, director of the Collaboratorium for Social Media and Online Behavioral Studies
University of Arkansas at Little Rockcognitive warfare, collective action, Data Mining, health and wellness, Privacy
Dr. Nitin Agarwal is the Jerry L. Maulden-Entergy Endowed Chair and Distinguished Professor of Information Science at the University of Arkansas at Little Rock, director of the (COSMOS), and faculty fellow for the International Computer Science Institute at the University of California, Berkeley.
Dr. Nitin Agarwal’s research aims to push the boundaries of our understanding of digital and cyber social behaviors that emerge and evolve constantly in modern information and communication platforms. At COSMOS, he leads projects with a combined funding of over $25 million from an array of U.S. federal agencies, including the Department of Defense, DARPA, Department of State, and National Science Foundation. He plays a significant role in the long-term partnership between UA Little Rock and the Department of Homeland Security. He developed publicly available social media analysis tools (Blogtracker and VTracker), assisting NATO Strategic Communications and Public Affairs, European Defense agencies, Australian Defense Science and Technology agency’s strategic policy group, Singapore government, Arkansas Attorney General’s office, among others. Dr. Agarwal participates in the National Tech Innovation Hub launched by the U.S. Department of State to defeat foreign-based propaganda.
Dr. Agarwal’s research contributions lie at the intersection of social computing, behavior-cultural modeling, collective action, social cyber forensics, artificial intelligence, data mining, machine learning, smart health, and privacy. From Saudi Arabian women’s right to drive cyber campaigns to Autism awareness campaigns to ISIS’ and anti-West/anti-NATO disinformation campaigns, he is directing several projects that have made foundational and applicational contributions to social and computational sciences at COSMOS, particularly in understanding coordinated cyber campaigns. He has published 11 books and over 300 articles in top-tier, peer-reviewed forums, including NATO’s Defense StratCom Journal, Army University Press, CANSOFCOM’s Future Conflict journal, and Baltic Security, among others, with several best paper awards and nominations. His most recent book explores deviant behaviors on the Internet and is published by Springer in their series on cybersecurity. Local, national, and international media, including Bloomberg, US News, KUAR, Arkansas Business, Arkansas Times, Arkansas Democrat-Gazette, and many others, have covered his work. Over the last several years, Dr. Agarwal has spoken at various public and professional, national and international forums such as NATO’s StratCom COE (Riga, Latvia), DARPA, US Department of State, US Naval Space and Warfare (SPAWAR), US Pentagon’s Strategic Multilevel Assessment groups, US National Academies of Sciences Engineering and Medicine, US Office of the Director of National Intelligence, Facebook Asia Pacific HQ, Twitter Asia Pacific HQ, US Embassy in Singapore, Singapore Ministry of Communication and Information, NATO Senior Leadership meetings, USIP, among others. He serves as technical advisor to Little Rock-based firms, including through the FinTech Accelerator.
Dr. Agarwal obtained a Ph.D. from Arizona State University with outstanding dissertation recognition in 2009. He was recognized as one of ‘The New Influentials: 20 In Their 20s’ by Arkansas Business in 2012. He was recognized with the universitywide Faculty Excellence Award in Research and Creative Endeavors by UA Little Rock in 2015 and 2021. Dr. Agarwal received the Social Media Educator of the Year Award at the 21st International Education and Technology Conference in 2015. In 2017 the Arkansas Times featured Dr. Agarwal in their special issue on “Visionary Arkansans.”
Dr. Agarwal was nominated as International Academy, Research and Industry Association (IARIA) Fellow in 2017, an Arkansas Academy of Computing (AAoC) Fellow in 2018, and an Arkansas Research Alliance (ARA) Fellow in 2018. In 2021, his research was recognized as one of the top 10 solutions for “Countering Cognitive Warfare: The invisible Threat” by NATO’s Innovation Hub out of 132 teams from the 30 NATO member nations. In 2022, his COVID-19 Misinformation tracker was recognized by the World Health Organization (WHO) as one of the key technological innovations globally to address the COVID-19 pandemic. IEEE, the world’s premier electrical and electronic engineering professional organization, recognized Dr. Agarwal as a senior member in 2022.
Cloud Computing, Data Mining, data modeling, GIs, Machine Learning, Social Media, Transporation
Wei's research focuses on how massive location-based social media data can help the understanding of the nature of human activities and the dynamics of social interactions.
Courses Wei has taught include python programming; data mining and modeling; data visualization; machine learning; and data analysis on AWS.Wei earned a doctorate in geography at the University of Georgia, master's degrees in GIS and urban planning at Wuhan University and University of Twente; and a bachelor's degree in urban planning at Wuhan University.