Duy Ho
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Duy H. Ho

Ph.D. Candidate at the School of Science and Engineering, University of Missouri-Kansas City (UMKC), Kansas City, MO, USA

Kansas City, MO, USA
dhh3hb@umsystem.edu
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Introduction

I am currently a Ph.D candidate majoring in Computer Science at University of Missouri-Kansas City, under the supervision of Dr. Yugyung Lee [Google Scholar] .

Throughout my academic career, I have grown my interests, developed my skills, and specialized in Data Science, Artificial Intelligence, Deep Learning, and Robotics. I have worked on many research projects that focused on Object Detection/Image Segmentation, Reinforcement/Imitation Learning, AI-Empowered Robotics, and Augmented/Virtual/Mixed Reality.

In addition to research, I have participated actively in many interdisciplinary projects and taught several university undergraduate and graduate courses in areas including Algorithms, 3D modeling, 3D simulation, AR/VR, Web and Mobile Development, Smart Connected Communities, and AI for Cybersecurity.

Publications

  • Surmounting Obstacles for Academic Resilience: A Dynamic Portal for Supporting an Alliance of Students with Disabilities
    Alexis N Petri, Duy H Ho, Ye Wang, Yugyung Lee
    The International Conference on Human-Computer Interaction, 2023 [ Paper ]
    Research Impact Score: 1.801, Contributing Best Scientists: 531, H5-index: 871, Research Ranking (Computer Science): 3911
  • A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises
    Ye Wang, Erin Willis, Vijaya K Yeruva, Duy H Ho, Yugyung Lee
    BMC Public Health, 2023 [ Paper ]
    Impact Factor: 4.51, 5-year Impact Factor: 4.71, SJR: 1.3071, Ranking: Q1 in Public Health, Environmental and Occupational Health
  • OpenComm: Open community platform for data integration and privacy preserving for 311 calls
    Duy H Ho, Yugyung Lee, Srichakradhar Nagireddy, Charan Thota, Brent Never, Ye Wang
    Sustainable Cities and Society, 2022 [ Paper ]
    Impact Factor: 11.76, SJR: 2.3054, Ranking: Q1 in Renewable Energy, Sustainability and the Environment
  • Deep learning visual methods for identifying abandoned houses
    Jim DeLisle, Hye-Sung Han, Duy H Ho, Yugyung Lee, Brent Never, Ye Wang.
    Cityscape, 2022 [ Paper ]
    Published by the US Department of Housing & Urban Development.
  • Community-in-the-loop: Creating Artificial Process Intelligence for Co-production of City Service
    Ye Wang, Srichakradhar Reddy Nagireddy, Charan Tej Thota, Duy H Ho, Yugyung Lee
    Proceedings of the ACM on Human-Computer Interaction, 2022 [ Paper ]
    Impact Score: 3.7410, SJR: 0.71510, Ranking: Q1 in Social Sciences (miscellaneous); Q2 in Computer Networks and Communications and Human-Computer Interaction
  • Big data analytics framework for predictive analytics using public data with privacy preserving
    Duy H Ho, Yugyung Lee
    2021 IEEE International Conference on Big Data, 2021 [ Paper ]
    Research Impact Score: 4.1015
  • DeepLite: Real-time deep learning framework for neighborhood analysis
    Duy H Ho, Raj Marri, Sirisha Rella, Yugyung Lee
    2019 IEEE International Conference on Big Data, 2019 [ Paper ]
    Research Impact Score: 4.1015
  • Graphevo: Characterizing and understanding software evolution using call graphs
    Vijay Walunj, Gharib Gharibi, Duy H Ho, Yugyung Lee
    2019 IEEE International Conference on Big Data, 2019 [ Paper ]
    Research Impact Score: 4.1015

Contact

Please feel free to email me any time, or click for ideas, collaboration, or research discussion.

Designed & Developed by Duy Ho (2023) (inspired by)

dhh3hb@umsystem.edu