About Me
As a Postdoctoral Researcher at the Institute for Software Integrated Systems in Vanderbilt University, I specialize in decision optimization within the field of public transportation. My work focuses on modeling problems as Markov decision processes and utilizing algorithms such as Monte Carlo tree search and reinforcement learning to find optimal solutions. Additionally, I have extensive experience working in the field of cyber-physical systems, where I apply cutting-edge technologies to drive further innovation.
I work closely with multiple industry partners and solve complex issues through research while at the same time leading multiple grad students in their research that attempts to solve real-world issues through the application of state-of-the-art research:
- Optimizing public transit substitute bus stationing and dispatching behaviors. In charge of implementing occupancy prediction using machine learning models and developing algorithms to improve stationing and dispatch of substitute buses. I work closely with the transit agency to develop usable tools (historical and real-time bus dashboards) and create data processing pipelines to improve public transit monitoring and response. I also lead multiple graduate students with machine learning and optimization research for public transit.
- Currently leading a team of grad students and engineers in working with an EV manufacturing company to optimize their charger behaviors using Monte Carlo Tree Search and Reinforcement Learning approaches to lower costs while meeting user requests. I’m in charge of developing a dashboard, custom-built for the company’s use case, that will host different tools such as a charging policy simulator built over research work done by the team.
Work Experience
I work closely with multiple industry partners and solve complex issues through research while at the same time leading multiple grad students in their research that attempts to solve real-world issues through the application of state-of-the-art research.
Worked on smart city projects primarily on cyber-physical systems for transportation networks, with an emphasis on the Internet-of-Things (IoT) and middleware research for distributed computing over edge devices. Had an ongoing collaboration with partner institutes on implementing anomaly-based incident detection for smart transportation cyber-physical systems.
- Part of Japan USA Network Opportunity Project (JUNO2) from NSF
Maintained, developed and tested features for Nokia’s base stations. Used C/C++ and Java.
Latest
Education
I received my PhD under a Japanese Government Scholarship. I was a member of the Ubiquitous Computing Systems laboratory where my research centered around middleware systems for resource-constrained devices with a focus on smart transportation. I have a strong background in both theoretical and practical applications of computer science, primarily in distributed computing and am dedicated to pushing the boundaries of innovation in this field.
- Dissertation: Design and Implementation of Decentralized Smart City Services on the Edge
I worked on designing and creating a prototype of what we deemed “near cloud” which is a low-cost, local cloud device meant to be deployed in rural areas in the Philippines. These devices are meant to hold terabytes of information that can be accessed to custom designed services. We targeted various aspects of the community such as health, education, and agriculture, with the intention of integrating them into a cyber-physical system of smart instruments for a smart connected community.
- Dissertation: Design, Development and Demonstration of a Highly Interactive Near Cloud Architecture for Institutions over Wireless Connectivity
Publications
A sample of my published works are available below. A full list can be seen in my CV.