My research explores how data, automation, and intelligent systems can be transformed into tools that help people make better decisions in health, education, community life, climate awareness, and long-term planning. As an adjunct faculty member at the University of Maryland, Baltimore County (UMBC), I collaborate with graduate students and faculty in the Big Data Analytics Lab to conduct research that combines advanced analytics, machine learning, and human-centered system design. These projects are documented throughout my Google Scholar profile and detailed on my Publications page.
I also work closely with undergraduate students through independent studies and research projects. Many of these projects are showcased on the Student Research page. Working alongside graduate students in the Big Data Analytics Lab allows undergraduates to experience real-world research, gain confidence, build strong portfolios, and prepare for competitive careers or graduate programs.
Research is one of the most powerful experiences a student can have. It builds creativity, resilience, problem-solving skills, and technical depth that go far beyond standard coursework. Employers and graduate schools consistently seek students who have completed research because it shows initiative, independence, and the ability to work on real problems without step-by-step instructions.
Students who engage in research often receive stronger recommendation letters, present at conferences, publish with faculty mentors, and stand out in competitive job markets. This is why I encourage every student to explore research early in their academic journey.
My work can be viewed in five major areas of human impact:
| Impact Area | Focus | Examples of My Work |
|---|---|---|
| Health & Well-Being | Supporting better medical decisions and early detection. | Diabetes impact analysis, workflow optimization. |
| Community Trust & Understanding | Turning online opinions into meaningful insights. | Sentiment analysis, interfaith studies. |
| Climate & Life Planning | Helping families plan for safer futures. | Climate-based housing models. |
| Access to Knowledge | Making information easier and fairer to access. | Smart library tools, book recommendation models. |
| Automation & Reduced Workload | Intelligent systems that deploy, monitor, or improve themselves. | Cloud automation, workflow scheduling. |
A simplified view of how my overall research focus is distributed across the five key impact areas:
This visualization represents the types of technologies that frequently power my research. Their use determines how strongly the work can benefit society.
Whether the project analyzes health patterns, interprets community voices, or automates cloud systems, my work is shaped by a simple goal: use technology to reduce complexity and give people clear, fast, and reliable information. I aim to build systems that feel invisible, quietly doing the heavy lifting so humans can focus on the decisions that matter.