Introduction

Welcome to the Department of Computer Sciences.

The Department of Computer Sciences at IISER Berhampur, the institution's youngest academic unit, focuses on Computational Data Sciences. Covering fundamental, theoretical, and applied knowledge in computing, machine learning, and data sciences, it also emphasizes the latest BigData and Artificial Intelligence (AI) tools. Currently offering a minor in BS-MS degree (from 2022), it will introduce Ph.D. programs in Computational Data Sciences from August 2024.

Positioned for interdisciplinary collaborations, the department's research advances Bigdata, AI, and ML techniques for automated data analysis and decision-making. It actively contributes to developing data standards, tools, and processes. With expertise in machine learning, deep learning, medical image analysis, biodiversity, ecology, and sustainability informatics, the faculty is engaged in ongoing initiatives to expand knowledge in theoretical and applied aspects of Computational Data Sciences. The department aspires to become a dynamic hub, dedicated to cutting-edge research and academic excellence.

Publications

Dr Anabik Pal

• 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.