Jayakrushna Sahoo
VIDWAN ID: 310364

Dr Jayakrushna Sahoo

Male Doctor of Philosophy
Assistant Professor (Grade-I) | Department of Computer Science and Engineering
Indian Institute of Information Technology, Kottayam
Kerala
Expertise: Computer Science Artificial Intelligence
61 Publications
0 Projects
579 Scopus Citations
496 CrossRef
7 Years 2 Months Total Experience
Publications
61 Total
Articles
26
Books
1
Chapters
12
Proceedings
22
Activity

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Scopus Scopus
579 Citations
11 h-index
CrossRef CrossRef
496 Citations
10 h-index
Google Scholar Google Scholar

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Personal Details

Doctor of Philosophy
N/A
Assistant Professor (Grade-I)
Jul 2019 – Present
Indian Institute of Information Technology, Kottayam | Department of Computer Science and Engineering
Engineering and Technology
Computer Science Artificial Intelligence

Related Profiles

Scholarly Work

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ADVANCING FEDERATED LEARNING OPTIMIZATION: PRIVACY-AWARE EFFICIENT MULTI-TIER FEDERATED LEARNING APPROACHES FOR MOBILE IOT SYSTEMS

University Indian Institute of Information Technology Kottayam
Year 2025
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DEEP LEARNING INSPIRED EXPLAINABLE COMPUTATIONAL FRAMEWORKS FOR EFFICIENT PROTEIN FAMILY FUNCTIONAL ANNOTATION

University Indian Institute of Information Technology Kottayam
Year 2025
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Plant Disease Detection using Identification Model Improvement and Advancements in Deep Learning

University Indian Institute of Information Technology Kottayam
Year 2026
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Enhancing Deep Learning Models for Mammogram Classification with Data Sparsity

University Indian Institute of Information Technology Kottayam
Year 2026
Downloads 0
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Scholarly Publications

Network Dynamics in Disorders of Consciousness: A Graph Theoretical Perspective

Conference Paper
Year: 2025.
Authors: Sreelakshmi Raveendran; Kala S; A G Ramakrishnan; Raghavendra Kenchiah; Jayakrushna Sahoo; Santhos Kumar; Farsana M K; Ravindranadh Chowdary Mundlamuri; Sonia Bansal; Binu V S; Subasree R

Functional connectivity in EEG: a multiclass classification approach for disorders of consciousness

Open Access
Journal Article
Frontiers in Neuroscience. Year: 2025. Volume: 19 .
Authors: Sreelakshmi Raveendran; Kala S; Ramakrishnan A G; Raghavendra Kenchaiah; Jayakrushna Sahoo; Santhos Kumar; Farsana M K; Ravindranadh Chowdary Mundlamuri; Sonia Bansal; Binu V S; Subasree R

Machine Learning-based Consciousness Assessment in Disorders of Consciousness Patients

Conference Paper
Year: 2024. Pages: 5-10 .
Authors: Sreelakshmi Raveendran; Kala S; Raghavendra Kenchiah; Jayakrushna Sahoo; Farsana M K; Ravindranath Choudary Mundlamuri; Sonia Bansal; Binu; A G Ramakrishnan; Subasree R

Variational mode decomposition-based EEG analysis for the classification of disorders of consciousness

Open Access
Journal Article
Frontiers in Neuroscience. Year: 2024. Volume: 18 .
Authors: Sreelakshmi Raveendran; Raghavendra Kenchaiah; Santhos Kumar; Jayakrushna Sahoo; M. K. Farsana; Ravindranadh Chowdary Mundlamuri; Sonia Bansal; V. S. Binu; A. G. Ramakrishnan; Subasree Ramakrishnan; S. Kala

A node combination approach with fuzziness in shortest path problem

Journal Article
International Journal of Advanced Intelligence Paradigms. Year: 2023. Volume: 26 , Issue: 3-4 , Pages: 336-348 .
Authors: Pushpi Rani; Dilip K. Shaw; Jayakrushna Sahoo

Attention-enhanced corn disease diagnosis using few-shot learning and VGG16

Open Access
Journal Article
MethodsX. Year: 2025. Volume: 14 , Pages: 103172 .
Authors: Rani, R.; Sahoo, J.; Bellamkonda, S.; Kumar, S.

Improving Few-Shot Corn Leaf Disease Detection through MobileNetV2 and Self-Attention Feature Refinement

Conference Paper
Year: 2026.
Authors: Ruchi Rani; Jayakrushna Sahoo; Sivaiah Bellamkonda; Sumit Kumar

A novel framework GRCornShot for corn disease detection using few shot learning with prototypical network

Open Access
Journal Article
Scientific Reports. Year: 2025. Volume: 15 , Issue: 1 .
Authors: Ruchi Rani; Jayakrushna Sahoo; Sivaiah Bellamkonda; Sumit Kumar
Showing 33 to 40 of 61 publications