ଭାରତୀୟ ବିଜ୍ଞାନ ଶିକ୍ଷା ଏବଂ ଗବେଷଣା ସଂସ୍ଥାନ ବ୍ରହ୍ମପୁର

भारतीय विज्ञान शिक्षा एवं अनुसंधान संस्थान बरहमपुर

Indian Institute of Science Education and Research Berhampur

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Dr. Anabik Pal

Assistant Professor

Computer Sciences

anabikpal@iiserbpr.ac.in

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Publications All

Academic Background

  • PhD (Computer Science), Indian Statistical Institute, Kolkata 2019

  • Master of Engineering (ME), Jadavpur University, Kolkata 2011-2013

  • Master of Computer Application (MCA), Jadavpur University, Kolkata 2008-2011

  • B.Sc. (Hons in Computer Science), Ramakrishna Mission Residential College, Kolkata 2005-2008

Professional Experience 

  • Assistant Professor at IISER Berhampur, Odisha (Dec 28, 2023 - till date)

  • Assistant Professor at SRM University, Andhra Pradesh (Jan 03, 2022 - Dec 20, 2023)

  • Post-doctoral fellow at National Institutes of Health (NIH), USA (Dec 09, 2019 - Dec 17, 2021)

Awards and Memberships

  • Recipient of National Institute of Health intramural post-doctoral visiting fellowship (Feb 22, 2021- Dec 17, 2021) and ORISE post-doctoral fellowship (Dec 09, 2019- Feb 21, 2021).

  • Recipient of Ph.D. research fellowship from Indian Statistical Institute during doctoral tenure

  • Life Member of Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI) Membership No: L 140

Research Interests

  • Medical Image Analysis

  • Deep Learning

  • Machine Learning

  • Computer Vision

About me

Dr Anabik Pal is currently working as an assistant professor at IISER Berhampur. He is an enthusiastic academician and researcher in artificial intelligence and machine learning (AIML) and applied data science domain.

Biography

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).  

Key Publications

Published Patent Applicants

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

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

Contact Details

Full Name

Anabik Pal

Email

anabikpal@iiserbpr.ac.in