معرفی
Bilal Khan is a Professor of Computer Science & Engineering at Lehigh University's Rossin College of Engineering and Applied Science. His work bridges mathematics, sociology, and computational science, focusing on network theory applications in social systems and public health. He holds a Ph.D. in Mathematics from the City University of New York, an M.Sc. in Computer Science from Johns Hopkins University, and a B.Sc. in Math and Computer Science from MIT.
His research explores the intersection of social networks and complex systems, including modeling drug use patterns, pandemic dynamics (e.g., COVID-19), and HIV/HCV transmission in marginalized populations. He develops agent-based simulations and hybrid systems to analyze interventions, leveraging crowdsourced data and bio-social principles. Recent work includes AI-driven STEM education tools and network-based cost-effectiveness analyses for public health policies.
His articles span computational epidemiology, network security (e.g., cognitive radio systems), and sociotechnical systems in Indigenous and rural communities. Notable projects include the ODIN platform for social interaction modeling and studies on homelessness among drug users in Puerto Rico.
Despite extensive research contributions, no specific awards or grants are highlighted in the provided materials. He advises no listed students, focusing instead on collaborative interdisciplinary projects and institutional affiliations within Lehigh's engineering college.
