Dr Anabik Pal is an enthusiastic academician and researcher in the machine (deep) learning field. He works as an assistant professor in the Department of Computer Science at the Indian Institute of Science Education and Research, Berhampur, Odisha. He is researching two fundamental domains: privacy-preserving machine learning focused on model development without direct access to raw data, and machine learning in resource-constrained environments. His primary research objective is to advance machine learning algorithms for the multifaceted challenges of automated medical image analysis. While his expertise lies in medical image analysis, Dr. Pal is open to research on other application domains. He actively seeks students at various academic levels with strong programming skills and a solid understanding of statistics and probability to collaborate on research projects.
Dr Anabik Pal started his career in Computer Science after completing his studies at a higher secondary level. He did the Bachelor of Science (2005-08) course with Computer Science Hons. from Ramakrishna Mission Residential College, Kolkata; Master of Computer Application (2008-11) from Jadavpur University, Kolkata; and Master of Engineering (2011-13) from Jadavpur University, Kolkata. After that, he joined the Indian Statistical Institute, Kolkata, West Bengal, India, as a doctoral fellow and received PhD in computer science in 2019. He went to the US to do post-doctoral research (Dec 09, 2021- Dec 17, 2022) at the National Library of Medicine (NLM) of the National Institutes of Health (NIH). During his stay in the US, he received the prestigious Intramural post-doctoral fellowship (Feb 22, 2022- Dec 17, 2022) of the National Institutes of Health and ORISE post-doctoral fellowship (Dec 09, 2021- Feb 21, 2022).
Published Patent
Applications
1. AB
SANDVIK MATERIALS TECH [SE] Title: TUBE INSPECTION SYSTEM Inventors: Akshay
Chaturvedi; Utpal Garain; Anabik Pal; Somasundaram S; Supriya Sarkar
IPC: G01N21/954; G06T7/00; CPC: G01N21/954 (EP); G06T7/0008 (EP); G01N2021/9544
(EP); G06T2207/20084 (EP); Priorities: EP18173333A2018-05-18 Application:
EP2019062893W2019-05-17 Publication: WO2019219956A12019-11-21
Journal
Publications
1. Arnab
Mitra, Anabik Pal, On signal encryption at MapReduce and collaborative
attribute-based access with ECAs for a preprocessed data set with ML in a
privacy-preserving health 4.0, e-Prime - Advances in Electrical Engineering,
Electronics and Energy, Volume 12, 2025, 100983, ISSN 2772-6711.
2. Anabik
Pal,
Akshay Chaturvedi, Aditi Chandra, Raghunath Chatterjee, Swapan Senapati,
Alejandro F. Frangi, Utpal Garain, "MICaps: Multi-instance capsule network
for machine inspection of Munro’s microabscess", Computers in Biology and
Medicine, Volume 140, January 2022, 105071, ISSN 0010-4825.
3. Anabik
Pal,
Zhiyun Xue, Kanan Desai, Adekunbiola Aina F Banjo, Clement Akinfolarin Adepiti,
L. Rodney Long, Mark Schiffman, Sameer Antani, “Deep multiple-instance learning
for abnormal cell detection in cervical histopathology images", Computers
in Biology and Medicine, Volume 138, November 2021,104890, ISSN 0010-4825.
4. Anabik
Pal,
Zhiyun Xue, Brian Befano, Ana Cecilia Rodriguez, L. Rodney Long, Mark
Schiffman, Sameer Antani, “Deep Metric Learning for Cervical Image
Classification,” in IEEE Access, Volume 9, 2021, Pages 53266-53275.
5. Anabik
Pal,
Utpal Garain, Aditi Chandra, Raghunath Chatterjee, Swapan Senapati, “Psoriasis
skin biopsy image segmentation using Deep Convolutional Neural Network”,
Computer Methods and Programs in Biomedicine, Volume 159, 2018, Pages 59-69,
ISSN 0169-2607.
6. Anandarup
Roy, Anabik Pal, Utpal Garain, “JCLMM: A finite mixture model for
clustering of circular-linear data and its application to psoriatic plaque
segmentation”, Pattern Recognition, Volume 66, June 2017, Pages 160-173, ISSN
0031-3203.
