Shah, Vaibhav

Research Assistant

Profile
  • Vaibhav Shah
    INSTITUTE:
    UNU-EGOV
    OFFICE:
    C1-17: Campus de Couros, Rua de Vila Flor 166, 4810-445 Guimarães, Portugal
    E-MAIL:
    vaibhav.shah@unu.edu
    PHONE:
    +351 253 510 854

    Research Interests

    • Artificial Intelligence
    • Blockchain
    • Environment
    • Health
    • Knowledge Engineering
    • Knowledge management
    • Smart Cities

    Education

    • PhD, Industrial and Systems Engineering, University of Minho, Portugal (2015)
    • MSc, Information Science and Computer Engineering, St. Petersburg State Polytechnic University, Russian Federation (2005)
    • BSc, Statistics, St. Xavier’s College, Gujarat University, India (2001)

    Appointments

    • Research Assistant, UNU-EGOV (Portugal)
    • Assistant Professor, School of Engineering, University of Minho (Portugal)
    • Researcher Collaborator, ALGORITMI Research Centre, University of Minho (Portugal)
    • Research Assistant, CGIT Research Centre, University of Minho (Portugal)

    Biographical Statement

    Vaibhav Shah is currently a Research Assistant at the United Nations University Operating Unit on Policy-Driven Electronic Governance (UNU-EGOV), where his research focus is Smart Cities, especially from the governance point of view, as well as the technologies needed for the Smart City development. Besides this, he is also an Assistant Professor at the Department of Information Systems, University of Minho, teaching Master’s Degree students in Information Systems and Management, and Telecommunications and Informatics Engineering. He is also a member of the ALGORITMI research centre at the same university where he has collaborated on several European and International research projects.

    Vaibhav received his PhD in Industrial Engineering (with Machine Learning) from the School of Engineering at the University of Minho, Portugal, in 2015, where he started working as a researcher in 2007. He received his MSc in Information Science and Computer Engineering, with Honours, with specialisation in Intelligent Systems from the St. Petersburg State Polytechnic University, Russia, in 2005. He worked as a Project Leader for an R&D project developing a pattern recognition algorithm for handwritten character recognition system for ancient Indic manuscripts, while working in India, from 2005 to 2007, and has experience in commercial software development since 1999. He has published around 40 scientific papers in International journals, conferences and indexed series. His research experience and interests include Artificial Intelligence, Grammatical Inference, Human-Machine Interface and Interaction, Knowledge Engineering & Management, Environment Conservation, Blockchain, Health Informatics, Neuroscience, Cognitive Systems, and Applications of Machine Learning in Biological engineering and related areas.