About Me

As a Research Scientist 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.

Download my full CV for more information

Work Experience

Research Scientist

03/2024 - Present
Institute for Software Integrated Systems at Vanderbilt University, Nashville, USA

Postdoctoral Researcher

04/2022 - 03/2024
Institute for Software Integrated Systems at Vanderbilt University, Nashville, USA

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.

Postdoctoral Researcher

2020 - 03/2022
Nara Institute of Science and Technology, Japan

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.

Software Development Engineer/Software Tester

2015 - 2017
Nokia, Philippines

Maintained, developed and tested features for Nokia’s base stations. Used C/C++ and Java.

Latest

May 2024 Best Paper Award - Our paper "An Online Approach to Solving Public Transit Stationing and Dispatch Problem" has been awarded the Best Paper in The 15th ACM/IEEE International Conference on Cyber-Physical Systems.
Mar. 2024 New Job - I'm starting my new position as Research Scientist in the Institute for Software Integrated Systems, Vanderbilt University.
Jan. 2024 Paper Accepted - Our paper "An Online Approach to Solving Public Transit Stationing and Dispatch Problem" has been accepted to The 15th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) to be held in Hong Kong.

Education

Doctor of Engineering

2017-2020
Nara Institute of Science and Technology, Japan

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

MSc in Electronics Engineering

2013 - 2015
Ateneo de Manila University, Philippines

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.

  • An Online Approach to Solving Public Transit Stationing and Dispatch Problem
  • Jose Paolo Talusan, C. Han, A. Mukhopadhyay, A. Laszka, D. Freudberg, and A. Dubey
    ICCPS 2024
  • Route Planning through Distributed Computing by Road Side Units
  • Jose Paolo Talusan, M. Wilbur, A. Dubey and K. Yasumoto
    IEEE Access, vol. 8, pp. 176134-176148, 2020
  • On Designing Day Ahead and Same Day Ridership Level Prediction Models for City-Scale Transit Networks Using Noisy APC Data
  • Jose Paolo Talusan, A. Mukhopadhyay, D. Freudberg, A. Dubey
    2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022
  • Anomaly based Incident Detection in Large Scale Smart Transportation Systems
  • Md. J. Islam*, Jose Paolo Talusan*, S. Bhattacharjee, F. Tiausas, S. Vazirizade, A. Dubey, K. Yasumoto, S. Das
    2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS), Milano, Italy
  • User-centric Distributed Route Planning in Smart Cities based on Multi-objective Optimization
  • F. Tiausas, Jose Paolo Talusan, Y. Ishimaki, H. Yamana, H. Yamaguchi, S. Bhattacharjee, A. Dubey, K. Yasumoto, S. Das
    2021 IEEE International Conference on Smart Computing (SMARTCOMP), Irvine, CA, USA

    Skills & Proficiency

    Python

    C & C++

    Google Cloud services

    Spark/Hadoop