Soumyajyoti Dey

soumyajyoti.cse.rs@jadavpuruniversity.in

Hi! I am a Ph.D. researcher in the Department of Computer Science & Engineering at Jadavpur University, India, working under the guidance of Prof. Nibaran Das in the Deep Learning in Vision and Language Processing (DVLP) Research Group. I am also a research scholar under "Centre for Microprocessor Applications for Training, Education and Research". With a demonstrated history of working in Medical Image Processing and Deep Learning, my current research interest is to develop Computer-aided detection system for the diagnosis of cancer by analyzing digital Cytology and Histopathology images. .

Should you wish to learn more or connect with me, please feel free to email me or reach out via the links provided below.

Professional Experience

Visiting Research Scholar

Indian Institute of Science, Bangalore, India.
  • Intership under Anveshan Setu Fellowship Program, sponsored by ACM India.
  • Worked under the supervision of Dr. Anirban Chakraborty, Visual Computing Lab, Department of Computational and Data Sciences (CDS), IISc
  • Deploy Transformer based Deep Learning model for segmentation of Histopathology images.
July, 2023 - August, 2023

Senior Research Fellow

Jadavpur University, India
  • Research Fellow on a Project funded by Science and Engineering Research Board, Govt. of India.
  • Implement Deep Learning based models for Cytology image analysis, like Classification, Segmentation and Data Augmentation.
  • Developed Breast Cytology Image Database(JUCYT) by using Olympus Cx33 Trinocular microscope.
March, 2021 - February, 2022

Junior Research Fellow

Jadavpur University, India
  • Research Fellow on a Project funded by Science and Engineering Research Board, Govt. of India.
April, 2019 - March, 2021

Education

Ph.D.

Jadavpur University, India
COMPUTER SCIENCE & ENGINEERING
February 2020 - Present

Masters

Jadavpur University, India
MASTER IN COMPUTER APPLICATION
Thesis: "Identification of Benign and Malignant Cells from Cytological Images Using Superpixel Based Segmentation Approach."
September 2014 - September 2017

BACHELORS

Asutosh College(University of Calcutta), India
B.SC(Hons.) in MATHEMATICS
September 2011 - May 2014

Publications

List of Journals

GC-EnC: A Copula based ensemble of CNNs for malignancy identification in breast histopathology and cytology images

S. Dey, S. Mitra, S. Chakraborty, D. Mondal, M. Nasipuri, and N. Das

Computers in Biology and Medicine. Elsevier BV, p. 106329, Nov. 2022. doi: 10.1016/j.compbiomed.2022.106329. (impact factor : 6.698), [GitHub]

Cytology Image Analysis Techniques Toward Automation: Systematically Revisited

S. Mitra, N. Das, S. Dey, S. Chakraborty, M. Nasipuri, and M. K. Naskar

ACM Computing Surveys, vol. 54, no. 3. Association for Computing Machinery (ACM), pp. 141, Apr. 30, 2022. doi: 10.1145/3447238. (impact factor 14.324)

List of Conferences

Could We Generate Cytology Images from Histopathology Images? An Empirical Study

S. Dey, S. Chakraborty, U. Guha Roy, and N. Das

International Conference on Advanced Computing and Applications(ICACA-2024) [GitHub]

Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation

S. Dey, S. Chakraborty, U. Guha Roy, and N. Das

International Conference on Data, Electronics and Computing(ICDEC-2023) [GitHub]

Malignancy Identification From Cytology Images Using Deep Optimal Features

S. Dey, S. Nasipuri, O. Ghosh, S. Chakraborty, D. Mondal, and N. Das

International Conference on Data, Electronics and Computing(ICDEC-2022), (pp. 279-287). Singapore: Springer Nature Singapore. [GitHub]

SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images

S. Dey, S. Das, S. Ghosh, S. Mitra, S. Chakrabarty and Das, and N. Das

National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics-2019 (pp. 32-42). Springer, [GitHub][Poster]

Identification of Benign and Malignant Cells from Cytological Images Using Superpixel Based Segmentation Approach

S. Mitra, S. Dey, N. Das, S. Chakrabarty, M. Nasipuri, and M. K. Naskar

Social Transformation Digital Way. Springer Singapore, pp. 257269, 2018. doi: 10.1007/978-981- 13-1343-1 24. [GitHub]

List of Book Chapters

Identification of Malignancy from Cytological Images Based on Superpixel and Convolutional Neural Networks

S. Mitra, S. Dey, N. Das, S. Chakrabarty, M. Nasipuri, and M. K. Naskar

Studies in Computational Intelligence. Springer Singapore, pp. 103122, Apr. 24, 2019. doi: 10.1007/978-981-13-7334-3 8. [GitHub]

Poster Presentation

Identification of Ductal Carcinoma from Cytology Image using Deep Learning

S. Dey, and N. Das

Third Indian Symposium on Machine Learning (IndoML 2022)[Poster]

Research Interests

Medical Image Processing • Digital Pathology (Cytology and Histopathology) • Generative Model • Deep Learning • Ensemble Model

Awards & Services

  • Recipient of Travel Grant & Registration Fees for presenting poster in "18th Academic Research and Careers for Students Symposium(ARCS-2024)" & participating in ACM India Annual Event, NISER, Bhubaneswar"[2024]
  • Recipient of Anveshan Setu Fellowship, Funded by ACM India [2023]
  • Recipient of Travel Grant for participating "Third Indian Symposium on Machine Learning, IIT Gandhinagar"[2022]
  • Indian Graduate Aptitude Test in Engineering (GATE) [2020]
  • Prize Winner in the competition "IEEE Xplore Challenge for Researchers in India", organized by Institute of Electrical and Electronics Engineers [2020]
  • Project Fellowship, Funded by SERB, Govt. Of India [2019 - 2022]
  • Volunteer at International Conference On Distributed Computing And Networking[2020]
  • Reviewer of the journal: SADHANA (Impact factor: 1.6).
  • Reviewed papers for the conferences: COMSYS-2020, 2021, 2022; ICDSA 2021; ICDEC-2022,2023,2024; CALCON 2022; CBMS 2023.

Teaching

Jadavpur University

Introduction to Programming Lab with C and C++ • Object-Oriented Programming Lab with Python and Java

Center for Microprocessor Applications for Training Education and Research
6-Month Certificate Course on Artificial Intelligence & Data Science

Python Programming • Machine Learning