Congratulations Shabnam Parween (Passout Batch 2024), on receiving offer from FLIPKART with a remuneration of 25.7 LPA

Admissions 2024 - 25

Congratulations Shabnam Parween (Passout Batch 2024), on receiving offer from FLIPKART with a remuneration of 25.7 LPA

Suparna Dutta

Assistant Professor

Computer Science & Engineering | CSE

Academic Information

 

Ph.D. (Engg.): Jadavpur University (Ongoing)

M.Tech.: MAKAUT, 2019

B.Tech.: MAKAUT, 2015

Area of Specialization

 

Machine Learning and Deep Learning

Experience

Research

Teaching

01 years

Industry

Date of Joining

01-10-2022

Date of Assign as Prof. / A.P

 

Machine Learning

Computational Intelligence

Distributed Systems

Computer Architecture

Journal Publications

  1. Dutta, S., Das, M. (2023). An autonomous lightweight model for aerial scene classification under labeled sample scarcity. Appl Intell.
  2. Dutta, S., Das, M. (2023). Remote sensing scene classification under scarcity of labelled samples—a survey of the state-of-the-arts. Computers Geosciences, 171, 105295.
  3. Dutta, S., Mukherjee, S., Nag, M., Majumdar, S., & Goyal, G. (2021). Risk stratification of cardiovascular disease in type 2 diabetes using lda and cnn for clinical decision management – a multi-centre study in eastern India. International-Journal-of-Medical-Engineering-and-Informatics-1755-0661. doi:10.1504/IJMEI.2021.10043803.

 

Conference Publications

  1. Das, M., Dutta, S., “SELFIE: A Semantically-Enhanced Load Forecasting Approach with Indirect Estimate of Spatial Influences,” TENCON 2021 – 2021 IEEE Region 10 Conference (TENCON), Auckland, New Zealand, 2021, pp. 687-692.
  2. Dutta, S.,  Das, M. (2021). PReLim: A modeling paradigm for remote sensing image scene classification under limited labeled samples. In 9th international conference on pattern recognition and machine intelligence, December 2021, Kolkata, India, Springer.
  3. Dutta, S., Mukherjee, S., Jana, S., Nag, M., & Majumdar, S. (2021). Dataset annotation on chronic disease comorbidities study in type 2 diabetes mellitus. In Proceedings of international conference on machine intelligence and data science applications (pp. 713–725). Springer.

 

Participated

  1. “Inculcating Universal Human Values in Technical Education”, by AICTE, from 19th to 23rd December, 2022.
  2. “Artificial Intelligence in Advanced Machine Learning and Cloud Computing”, by HIT, from 10th to 14th July, 2023.

UG Project Guided

  1. Title: Handwritten Character Recognition System, by Sahban Alam, Rishabh Kumar, Saikat Palit, Rohit Sarkar.