Agughasi Victor Ikechukwu
Dayananda Sagar University, Maharaja Institute of Technology Mysore, University of Mysore, Bangalore University, Michael Okpara University of Agriculture
0000-0002-1175-3089
About
Ph.D. in CSE | Lifelong Learner | Data Scientist | MLOps Enthusiast | Biomedical Signal Analyst |Medical Imaging Analyst | Prompt Engineer | Editor | Copyeditor | Research Assistant | Writer | Peer Reviewer | Entrepreneur
EDUCATION:
Sept. 2018–Dec. 2023
Ph.D. in Computer Science (Degree Awarded), University of Mysore, Karnataka-India.
Thesis Title: Machine Learning Approaches to Diagnosing Chronic Obstructive Pulmonary Diseases from Chest X-ray Images.
Apr. 2014–Mar. 2016
M.Sc. in Computer Science (FCD, Gold Medalist), Bangalore University, Karnataka-India.
Nov. 2006–Oct. 2010
B.Sc. in Computer Science (Second Class Honours, Upper Division), Michael Okpara University, Abia State, Nigeria.
May-June 2004
WASSCE, Community Secondary School, Okigwe, Imo State, Nigeria
Employment
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Dayananda Sagar University Senior Assistant Professor2026 - Present
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Maharaja Institute of Technology Mysore Research Scholar2019 - 2026
Education
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University of Mysore PhD2019 - 2023
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Bangalore University MSc2014 - 2016
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Michael Okpara University of Agriculture BSc2006 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (22)
- A Novel Deep Learning-Based Technique for Automatic Source Code Summarization Save
- HFFN: A Hybrid Feature Fusion Network for Representing Source Code Save
- Optimized Segmentation and Hybrid Features for Accurate Diabetic Retinopathy Diagnosis Save
- HFFN for Java: A Hybrid Feature Fusion Network for Automated Code Summarization Save
- Firefly-Based Segmentation and Residual Deep Learning for Multi- Class Diabetic Retinopathy Detection Save
- Evaluating the Feasibility of a Pre-processing Framework for Enhanced Text Information Extraction from Source Codes Save
- Optimizing ResNet50 and VGG19 Networks for Accurate COPD Diagnosis Through CXR Analysis Save
- Leveraging Transfer Learning for Efficient Diagnosis of COPD Using CXR Images and Explainable AI Techniques Save
- The Superiority of Fine-tuning over Full-training for the Efficient Diagnosis of COPD from CXR Images Save
- Energy-efficient deep Q-network: reinforcement learning for efficient routing protocol in wireless internet of things Save