Welcome
I am an Assistant Professor of Information Technology at Lawrence Technological University. My teaching and research focus on artificial intelligence, machine learning, reinforcement learning, and data-driven methods, with applications in intelligent transportation, unmanned aerial vehicles (UAVs), smart communities, and business analytics.
My research combines machine learning algorithms, graph neural networks, multi-agent reinforcement learning, and spatiotemporal data analytics to address complex real-world challenges. Current projects include traffic flow analysis and congestion detection via GPS trajectory mining, reinforcement learning for adaptive traffic signal control, graph neural networks for transportation analytics, and UAV technologies for mission planning and aerial monitoring.
I lead the MIND Lab (Machine Intelligence and Data Laboratory), where graduate and undergraduate students conduct research in intelligent transportation systems, UAVs, mobility analytics, and AI-driven decision-making. Students are involved throughout the research process—from formulating research questions and developing algorithms to publishing their work and presenting at conferences.
As an educator, I believe the best learning happens when theory meets practice. I aim to create engaging course experiences that prepare students to think critically and tackle real problems. Through mentoring undergraduate and graduate students in the lab and in the classroom, I enjoy building curiosity and a genuine interest in research.
If you are a prospective student interested in joining the MIND Lab, or a researcher or industry partner interested in collaboration, I would be happy to hear from you.