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Ms. Tanusri Ghosh
Ms. Tanusri Ghosh
Designation: Assistant Professor, Computer Science and Engineering (School Of Engineering & Technology), Adamas University.
Email ID : tanusrighosh2009@gmail.com
Academic Qualifications :
Ph. D. in Computer Science & Engineering (2021-Present)
Registration No : PhD/Tech/CSE001/2021-ADF
Ph. D. Thesis Title : Biomarker Identification for Precision Medicine: Artificial
Intelligence Approaches
Institute : Maulana Abul Kalam Azad University of Technology, W.B.
Name of the Supervisor : Prof. Sriyankar Acharyya
M. Tech in Computer Science & Engineering (2018-2020)
Institute : Maulana Abul Kalam Azad University of Technology, W.B.
Marks Obtained : 8.99 out of 10 (DGPA)
Division/Class : 1st
B. Tech in Information Technology (2008-2012)
Institute : Murshidabad College of Engineering & Technology (WBUT)
Marks Obtained : 7.89 out of 10 (DGPA)
Division/Class : 1st
Higher Secondary (2008)
Institute : Berhampore Girls Mahakalipathsala (WBCHSE)
Marks Obtained : 61.29 %
Division/Class : 1st
Secondary (2006)
Institute : Katihar Netaji Vidyamandir (WBBSE)
Marks Obtained : 70.25%
Division/Class : 1st
Working Experience :
Publications :
Ghosh, T., Mitra, S., Acharyya, S. (2022). Pathway Marker Identification Using Gene Expression Data Analysis: A Particle Swarm Optimisation Approach. In: Mandal, J.K., De, D. (eds) Advanced Techniques for IoT Applications. EAIT 2021. Lecture Notes in Networks and Systems, vol 292. Springer, Singapore. https://doi.org/10.1007/978-981-16-4435-1_14.
Ghosh, T., Acharyya, S. (2024). Role of Pre-processing in Gene Selection Using DNA Microarray Gene Expression Data. In: Tavares, J.M.R.S., Rodrigues, J.J.P.C., Misra,D., Bhattacherjee, D. (eds) Data Science and Communication. ICTDsC 2023. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-99-5435-3_7.
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