Dr. Ashoka Kumar Ratha
Sambalpur University, IRCON INTERNATIONAL LIMITED a PSU under Ministry of Railways, Bharath University
About
Dr. Ashoka Kumar Ratha is a seasoned professional with over 13 years of experience, specializing in railway telecommunications and administration. He brings 6.2 years of dedicated experience as a Deputy Manager in Signal & Telecommunications (S&T) (E-3) within the railway sector and an additional 8 years in administrative roles at Sambalpur University.
Mr. Ratha holds a Bachelor’s degree in Electronics & Telecommunication Engineering from B.P.U.T., Rourkela, Odisha, and a Master’s degree in Optical Communication Engineering from ACCET, Karaikudi. He has successfully completed his Ph.D. in ELectronics Engineering from Sambalpur University in the year of 2025. Currently, he is working as Deputy Registrar (Admin) at Sambalpur University.
His core competencies encompass railway telecommunications, office management, scheduling and monitoring of construction activities, store and equipment management, and procurement. He excels in coordinating client meetings and ensuring efficient follow-through on all office and site-related activities.
Mr. Ratha’s accomplishments have been recognized through various awards in both railway and state government sectors, reflecting his outstanding contributions in administration. In addition to his professional duties, he has published numerous research papers in journals and conference proceedings.
Employment
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Sambalpur University Deputy Registrar2023 - Present
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Sambalpur University Administrative Officer2017 - 2023
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IRCON INTERNATIONAL LIMITED a PSU under Ministry of Railways Manager-Executive Level2011 - 2017
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Bharath University Lecturer2010 - 2011
Education
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Sambalpur University Ph.D.2021 - 2025
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- Deep Learning Techniques for Dermatological Disease Classification Save
- Optimizing Multiple Sclerosis Detection through ResNet Feature Fusion and SVM Classifier Save
- Unleashing Agricultural Precision: A Deep Learning Paradigm for Papaya (Carica Papaya L.) Variety Discrimination and Yield Optimization Save
- Enhancing paddy leaf disease diagnosis -a hybrid CNN model using simulated thermal imaging Save
- Ocular Disease Detection Using Fundus Images: A Hybrid Approach of Grad-CAM and Multiscale Retinex Preprocessing With VGG16 Deep Features and Fine KNN Classification Save
- Deep Learning-Powered Precision: A CNN-Based Approach for Postharvest Classification of Indian Banana Varieties in Supermarket Supply Chains Save
- Hybrid Darknet53-SVM model with random grid search optimization for enhanced colorectal cancer histological image classification Save
- Detection of Wheat Panicle Diseases with Synthetic Oversampling and Quantum Kernel-Enhanced ResNet50-SVM Save
- Optimizing papaya disease classification: A hybrid approach using deep features and PCA-enhanced machine learning Save
- Wheat Leaf Disease Detection with ANOVA Driven Feature Selection and Whale Optimization Algorithm Save