Dr Nabanita Basu

    • School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

    20162019

    Research output per year

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    Personal profile

    General

    • Dr. Basu joined Aston University in 2020

    • She is a Research Associate at the Forensic Data Science Laboratory

    • At present she works on forensic comparison of fired catridge casings

    • Areas of forensic science that she has worked include 

                       - Fingerprints

                       - Bloodstain Pattern Analysis

                       - Forensic Podiatry

                       

    Qualifications

    • PhD(Tech.) in Computer Science & Engineering (Specialization - Machine Learning), University of Calcutta

    • MRes. in Security Sciences (Specialization - Forensic Science), University College London

    • MSc. in Advanced Computer Science (Specialization - Machine Learning & Health Informatics) , University of Manchester

    • B-Tech in Computer Science & Engineering, West Bengal University of Technology

    Employment

    • Research Associate, Forensic Data Science Laboratory, Aston University

    • Research Scholar, Department of Computer Science & Engineering, University of Calcutta

    • Deans Scholar, Department of Security & Crime Science, University College London

    • Junior Programmer, Project funded by Department of Electronics and Information Technology, Government of India

    • Software Engineer (Java Developer), Capgemini India Pvt. Ltd.

    Scholarship and fellowship

    • Deans Scholar, Engineering Faculty, University College London

    Membership of Professional Bodies

    • Life Member, Indian Science Congress Association

    Continuing Professional Development

    • Certified Basic Bloodstain Pattern Analysis , Blutspuren Institut , IABPA

    • Pegasystems Certified System Architect v6.0

    • Sun Certified Java Programmer

    Research Interests

    • Forensic Science - Fingerprint, Bloodstain Pattern Analysis

    • Machine Learning, Deep Learning, Optimization

    • Interdisciplinary research

    • Statistics

    Fingerprint

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