Prof. Danda B. Rawat
Associate Dean for Research and Professor (EECS) at Howard University
SPIE Involvement:
Conference Program Committee | Author
Area of Expertise:
AI/ML , AI/ML Security , Cybersecurity , AI/ML for Cybersecurity , Security for AI/ML , Wireless IoT
Websites:
Profile Summary

Dr. Danda B. Rawat is the Associate Dean for Research & Grad Education in College of Engineering, a Full Professor in the Department of Electrical Engineering & Computer Science (EECS), Founding Director of the Howard University Data Science & Cybersecurity Center, Founding Director of DoD Center of Excellence in Artificial Intelligence & Machine Learning (CoE-AIML), Director of Cyber-security and Wireless Networking Innovations (CWiNs) Research Lab, Graduate Program Director of Howard CS Graduate Programs and Director of Graduate Cybersecurity Certificate Program at Howard University, Washington, DC, USA. Dr. Rawat is engaged in research and teaching in the areas of cybersecurity, machine learning, big data analytics and wireless networking for emerging networked systems including cyber-physical systems, Internet-of-Things, multi domain operations, smart cities, software defined systems and vehicular networks. He has secured over $120 million in research funding from the US National Science Foundation (NSF), US Department of Homeland Security (DHS), US National Security Agency (NSA), US Department of Energy, National Nuclear Security Administration (NNSA), DoD and DoD Research Labs, Industry (Microsoft, Intel, PayPal, Mastercard, Meta, BAE, Raytheon etc.) and private Foundations. Dr. Rawat is the recipient of NSF CAREER Award, Department of Homeland Security (DHS) Scientific Leadership Award, Presidents’ Medal of Achievement Award 2023 at Howard University, Provost's Distinguished Service Award 2021, Researcher Exemplar Award 2019 and Graduate Faculty Exemplar Award 2019 from Howard University. For further detail: www.rawat.info
Publications (15)

Proceedings Article | 20 June 2023 Paper
Atul Rawal, Adrienne Raglin, Brian Sadler, Danda Rawat
Proceedings Volume 12538, 125381R (2023) https://doi.org/10.1117/12.2666085
KEYWORDS: Machine learning, Artificial intelligence, Systems modeling, Evolutionary algorithms, Algorithm development, Library classification systems, Data modeling, Random forests, Performance modeling, Education and training

Proceedings Article | 12 June 2023 Paper
Atul Rawal, Adrienne Raglin, Brian Sadler, Danda Rawat
Proceedings Volume 12538, 125380B (2023) https://doi.org/10.1117/12.2666086
KEYWORDS: Machine learning, Artificial intelligence

Proceedings Article | 12 June 2023 Poster + Paper
Proceedings Volume 12538, 125381Q (2023) https://doi.org/10.1117/12.2665725
KEYWORDS: Education and training, Data modeling, Image classification, Machine learning, Performance modeling, Visualization, Computer vision technology, Visual process modeling, Artificial intelligence, Evolutionary algorithms

Proceedings Article | 12 June 2023 Presentation + Paper
Proceedings Volume 12538, 1253811 (2023) https://doi.org/10.1117/12.2665404
KEYWORDS: Machine learning, Data modeling, Education and training, Systems modeling, Telecommunications, Instrument modeling, Decision support systems, Data privacy, Unmanned aerial vehicles, Surveillance systems

Proceedings Article | 12 June 2023 Paper
Proceedings Volume 12538, 125380M (2023) https://doi.org/10.1117/12.2665399
KEYWORDS: Transparency, Telecommunications, Systems modeling, Evolutionary algorithms, Defense and security, Artificial intelligence, Decision making, Performance modeling, Computing systems, Computer security

Showing 5 of 15 publications
Conference Committee Involvement (3)
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI
22 April 2024 | National Harbor, Maryland, United States
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V
1 May 2023 | Orlando, Florida, United States
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV
4 April 2022 | Orlando, Florida, United States
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