Research output per year
Research output per year
Personal profile
Contact Details
Tel: N/A
Email: n.basu@aston.ac.uk
Biography
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Dr. Basu joined Aston University in 2020
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She is a Research Associate at the Forensic Data Science Laboratory
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At present she works on forensic comparison of fired catridge casings
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Areas of forensic science that she has worked include
- Fingerprints
- Bloodstain Pattern Analysis
- Forensic Podiatry
Qualifications
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PhD(Tech.) in Computer Science & Engineering (Specialization - Machine Learning), University of Calcutta
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MRes. in Security Sciences (Specialization - Forensic Science), University College London
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MSc. in Advanced Computer Science (Specialization - Machine Learning & Health Informatics) , University of Manchester
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B-Tech in Computer Science & Engineering, West Bengal University of Technology
Employment
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Research Associate, Forensic Data Science Laboratory, Aston University
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Research Scholar, Department of Computer Science & Engineering, University of Calcutta
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Deans Scholar, Department of Security & Crime Science, University College London
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Junior Programmer, Project funded by Department of Electronics and Information Technology, Government of India
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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
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Certified Basic Bloodstain Pattern Analysis , Blutspuren Institut , IABPA
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Pegasystems Certified System Architect v6.0
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Sun Certified Java Programmer
Research Interests
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Forensic Science - Fingerprint, Bloodstain Pattern Analysis
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Machine Learning, Deep Learning, Optimization
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Interdisciplinary research
- Statistics
Fingerprint
Dive into the research topics where Nabanita Basu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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Application of Machine Intelligence in Digital Pathology: Identification of Falciparum Malaria in Thin Blood Smear Image
Nag, S., Basu, N. & Bandyopadhyay, S. K., 12 Dec 2019, Advancement of Machine Intelligence in Interactive Medical Image Analysis. Verma, O. P., Roy, S., Pandey, S. C. & Mittal, M. (eds.). 1 ed. Singapore, p. 65-97 33 p. (Advancement of Machine Intelligence in Interactive Medical Image Analysis).Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review
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Critical Analysis of Malaria Parasite Detection Using Machine Learning Technique
Basu, N. & Nag, S., 1 May 2019, In: Journal of Medical Imaging and Health Informatics. 9, p. 830-837 8 p.Research output: Contribution to journal › Article › peer-review
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Identification of Unique Characteristics of Deception from Facial Expression
Mondal, A., Mukhopadhyay, P., Basu, N., Bandyopadhyay, S. K. & Chatterjee, T., 1 Feb 2018, In: Current Aging Science. 114, 04, p. 901- 906 6 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Crime scene reconstruction—Sex prediction from blood stained foot sole impressions
Basu, N. & Bandyopadhyay, S. K., Sep 2017, In: Forensic Science International. 278, p. 156-172 17 p.Research output: Contribution to journal › Article › peer-review
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Hybrid Approach towards Malaria Parasites Detection from Thin Blood Smear Image
Nag, S., Basu, N. & Bandyopadhyay, S. K., 30 Oct 2017, Hybrid Intelligent Techniques for Pattern Analysis and Understanding. Bhattacharyya, S., Mukherjee, A., Pan, I., Dutta, P. & Bhaumik, A. K. (eds.). 1 ed. New York: Taylor & Francis, p. 93-122 30 p.Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review