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Introduction

Welcome to the Department of Computer Science.

The Department of Computer Science 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 emphasises the latest Big Data, Cloud computing and Artificial Intelligence (AI) tools. The department is currently offering a minor in BS-MS degree (from 2022) , and PhD programs (from August 2024) .

The department currently has expertise in the following areas:

  • Machine (Deep) Learning
  • Medical Image Analysis
  • Computer Vision
  • Edge-Cloud computing
  • IoT, Smart City, Edge Intelligence
  • Distributed Systems
  • DevOps

More detailed activities can be found on the individual faculties’ home pages. The department is actively looking for undergraduate research interns, master's and doctoral researchers .

 

Research Scholars

(a) Mr Biswajit Sahoo (from Aug 2024) 

(b) Mr Siddharth Singh Kushwaha (from Aug 2024)

 

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.

  • Anabik Pal , Anandarup Roy,  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.

Chinmaya Kumar Dehury

  • Chinmaya Kumar Dehury , Shivananda Poojara, Satish Narayana Srirama; Def-DReL: Towards a Sustainable Serverless Functions Deployment Strategy for Fog-Cloud Environments using Deep Reinforcement Learning, Applied Soft Computing, Volume 152, 2024, p. 111179, ISSN 1568-4946, IF(2023): 7.2, JIF Rank (Computer Science, Interdisciplinary Applications): 15/169=Top 8.6% (Q1),  https://doi.org/10.1016/j. asoc.2023.111179
  • Chinmaya Kumar Dehury , Prasan Kumar Sahoo, Bharadwaj Veeravalli, "RRFT: A Rank-Based Resource Aware Fault Tolerant Strategy for Cloud Platforms", IEEE Transactions on Cloud Computing (TCC), vol. 11, no. 2, pp. 1257-1272, 1 April-June 2023, DOI:  https://doi.org/10.1109/TCC. 2021.3126677 , IF(2023): 5.3, JIF Rank (Computer Science, Theory & Methods): 17/143 = Top 11.5% (Q1)

  • Chinmaya Kumar Dehury , Prasan Kumar Sahoo, "Failure Aware Semi-Centralized Virtual Network Embedding in Cloud Computing Fat-Tree Data Center Networks", IEEE Transaction on Cloud Computing (TCC), vol. 10, no. 2, pp. 1156-1172, 1 April-June 2022, doi: 10.1109/TCC.2020.2984604, ISSN: 2168-7161, IF(2023): 5.3, JIF Rank (Computer Science, Theory & Methods): 17/143 = Top 11.5% (Q1)

  • Chinmaya Kumar Dehury , Satish Narayana Srirama, Tek Raj Chhetri, "CCoDaMiC: A Framework for Coherent

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