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Ray Islam | |
|---|---|
| Notable work | Generative AI, Cybersecurity, Ethics in AI |
| Scientific career | |
| Fields | Artificial Intelligence, Machine Learning, Cybersecurity |
| Website | Github Profile |
Ray Islam, PhD (Mohammad Rubyet Islam) is an AI/ML scientist, AI ethicist, professor, author, researcher and reviewer. He serves as an adjunct professor in natural language processing at George Mason University, VA and a cybersecurity lecturer at ACES Honors College, University of Maryland, College Park. Islam has worked on artificial intelligence and machine learning roles at Deloitte (USA), Lockheed Martin, Booz Allen Hamilton, NASA, the U.S. White House, and the U.S. Department of Commerce.[citation needed]
Islam is an author, having published various books and journal articles.
Islam, M. R. (2024). Generative AI, Cybersecurity, and Ethics. John Wiley & Sons.[1][2]
Ray Islam, LangChain Unveiled: Navigating the Future of LLM[3]
Ray lslam, Enhancing Satellite Security: Leveraging GenAI for Advanced Cyber Defense, (Amazon, 2023)[3]
Ray Islam, Retrieval-Augmented Generation (RAG): Empowering Large Language Models (LLMs)[4]
Islam, R. and Sandborn, P., (2023), Demonstration of a Response Time Based Remaining Useful Life (RUL) Prediction for Software Systems, Journal of Prognostics and Health Management, 3(1), 9–36. February https://doi.org/10.22215/jphm.v3i1.3641.[1][2][5]
Islam, R., & Sandborn, P. Multimodal Generative AI For Story Point Estimation
Islam, M. R., & Sandborn, P. (2021, August). Application of Prognostics and Health Management (PHM) to Software System Fault and Remaining Useful Life (RUL) Prediction. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 85413, p. V005T05A006). American Society of Mechanical Engineers.
Islam, M. R., & Sandborn, P. (2024, June). Analyzing the Influence of Processor Speed and Clock Speed on Remaining Useful Life Estimation of Software Systems. In Science and Information Conference (pp. 490-507). Cham: Springer Nature Switzerland.
Adhikary, K., Islam, R., Rizvi, G., Park, C., (2013), A Paper on Optimization of Process Conditions, Journal of Thermoplastic Composite Materials, 26(8):1127-1144, September, DOI: 10.1177/0892705712439563.
Adhikary, K., Islam, R., Rizvi, G., Park, C., (2011), A paper on Process Conditions Optimization, Journal of Thermoplastic Composite Materials, 24(2):155-17, March, DOI: 10.1177/0892705710388590.
Adhikary, K. B., Park, C. B., Islam, M. R., & Rizvi, G. M. (2011). Effects of lubricant content on extrusion processing and mechanical properties of wood flour-high-density polyethylene composites. Journal of Thermoplastic Composite Materials, 24(2), 155-171.
Adhikary, K. B., Islam, M. R., Rizvi, G. M., & Park, C. B. (2013). Effect of extrusion conditions on the surface quality, mechanical properties, and morphology of cellular wood flour/high-density polyethylene composite profiles. Journal of Thermoplastic Composite Materials, 26(8), 1127-1144.
Islam, R. and Sandborn, P., (2024), Analyzing the Influence of Processor Speed and Clock Speed on Remaining Useful Life Estimation of Software Systems, Computing Conference, 11-12 July 2024, London, UK, Published as Proceedings on Springer Nature, DOI: https://doi.org/10.1007/978-3-031-62281-6_34[1][2]
Islam, R. and Sandborn, P., (2021), Application of Prognostics and Health Management (PHM) to Software System Fault and Remaining Useful Life (RUL) Prediction, ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, August, DOI: 10.1115/DETC2021-70508[1][2]