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
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Professional Recognition

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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
Downloads 0

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

Mobile_FL: A streamlined FL framework for process optimisation via client clustering using rough c-means algorithm

Conference Paper
Year: 2024. Pages: 88-97 .
Authors: Akarsh K. Nair; Jayakrushna Sahoo; Linga Reddy Cenkeramaddi; Gaurav Jaswal; Ebin Deni Raj

Parameter Efficient Fine Tuning of Explainable Protein Language Models Using Low Rank Adapters

Conference Paper
Year: 2026. Pages: 24-28 .
Authors: Chinju John; Manu Madhavan; Jayakrushna Sahoo

Histology image sequence representation using a deep generative neural network

Open Access
Journal Article
ETRI Journal. Year: 2026.
Authors: Pillai Praveen Thulasidharan; Leena Mary; Keshab Nath; Jayakrushna Sahoo

RSTMG: A Computationally Efficient Framework for Region specific Tissue Segmentation of Whole Slide Images

Conference Paper
Year: 2026. Pages: 159-164 .
Authors: Pillai Praveen Thulasidharan; Leena Mary; Keshab Nath; Jayakrushna Sahoo

Enhancing mammogram classification using explainable Conditional Self-Attention Generative Adversarial Network

Journal Article
Expert Systems with Applications. Year: 2025. Volume: 293 .
Authors: K.K. Sreekala; Jayakrushna Sahoo

Anomaly detection and prediction of energy consumption for smart homes using machine learning

Open Access
Journal Article
ETRI Journal. Year: 2025. Volume: 47 , Issue: 5 , Pages: 934-945 .
Authors: Anitha Ambat; Jayakrushna Sahoo

Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning

Journal Article
ACM Transactions on Intelligent Systems and Technology. Year: 2025. Volume: 16 , Issue: 3 .
Authors: Ashly Ann Jo; Ebin Deni Raj; Jayakrushna Sahoo

Optimized Lightweight Temporal Attention-Based Convolutional Neural Network Espoused Automatic Diagnosis and Classification of Breast Cancer

Journal Article
Authors: K. Sreekala; Jayakrushna Sahoo
Showing 1 to 8 of 61 publications