Assist. Prof. Dr.Victor Agughasi |Artificial Intelligence|Best Researcher Award

Assistant Professor, Maharaja Institute of Technology Mysore, India

Summary:

Assistant Professor, Maharaja Institute of Technology, Mysore, India,Dr. Victor Agughasi is an Assistant Professor at the Maharaja Institute of Technology, Mysore, India. With extensive expertise in his field, he contributes to academic excellence through teaching, research, and mentoring students. His work reflects a commitment to advancing knowledge and fostering innovation in higher education.

Professional Profiles:

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🎓 Education :

Ph.D. in Computer Science,University of Mysore, Karnataka, India (Sept. 2018 – Dec. 2023),Thesis: Machine Learning Algorithm for the Diagnosis of Chronic Obstructive Pulmonary Diseases from Chest X-ray Images.,Postgraduate Diploma in Business Administration (PGDBA),Bangalore University, Bangalore, India (Dec. 2016 – Jan. 2018),M.Sc. in Computer Science,Bangalore University, Bangalore, India (Apr. 2014 – Mar. 2016),B.Sc. in Computer Science,Michael Okpara University, Abia State, Nigeria (Nov. 2006 – Oct. 2010),West African Senior School Certificate Examination (WASSCE),Community Secondary School, Okigwe, Imo State, Nigeria (May – June 2004)

🏢 Experience:

Assistant Professor,Department of Computer Science and Engineering (Artificial Intelligence), Maharaja Institute of Technology, Mysore, India (Oct. 2023 – Present),Teaches subjects such as Machine Learning, Computer Vision, Big Data Analytics, Digital Image Processing, Database Management Systems, Python for Data Visualization, and Research Methodology.,Research Associate,Maharaja Institute of Technology, Mysore, India (June 2019 – Oct. 2023),Focused on Machine Learning, Big Data Analytics, and Mobile App Development in Java. Supervised research projects in Machine Learning.,Visiting Faculty (Voluntary),Dr. Ambedkar Institute for Management Science, Bangalore, India (Aug. 2018 – May 2019),Conducted courses in Information System & Science and Database Management Systems.,Visiting Faculty (Voluntary),St. Aloysius Degree College, Bangalore, India (Jul. 2017 – Feb. 2018),Taught sessions on Information System & Science and Database Management Systems.,Teaching Assistant (Voluntary),St. Joseph’s College, Bangalore, India (Oct. 2014 – Mar. 2016),Taught Computer Fundamentals and Web Design using PHP.,Java Instructor (Intern),APTECH Computer Education, Bangalore, India (Oct. – Dec. 2014),Provided training in Computer Fundamentals and Web Design using PHP.,Web Developer,Max-Out Resources Pvt. Ltd, Abuja, Nigeria (Jul. 2011 – Jun. 2012),High School Teacher,Community Secondary School, Okigwe, Nigeria (Feb. – Nov. 2009)

Skills:

Proficient in programming languages such as Java, JavaScript, Python, and PHP. Experienced in database systems including MySQL, PostgreSQL, and Oracle. Fluent in English with basic knowledge of Kannada.

Research Focus :

Specializes in Medical Imaging, Explainable AI Models, Data Science, Machine Learning, Deep Learning, and Computer Vision. Research emphasizes creating innovative machine learning algorithms for diagnosing chronic diseases from medical imaging data.

🔬Awards:

Received Best Paper Awards at multiple international conferences including ADCIS-2024, ERCICAM-2024, and ICCSA-2021. Recognized as the Best Outgoing Student in PG Science at St. Joseph’s College, Bangalore, and awarded gold medals in web application competitions organized by APTECH. Secured a Management Scholarship and Certificates of Merit for outstanding academic performance.

Conclusion:

Based on the information provided:,Suitability: Dr. Victor Agughasi appears to be a strong candidate for the award, provided his accomplishments align with the specific goals of the awarding body.,Recommendations: A detailed application highlighting research impact, innovation, and leadership, complemented by addressing areas for improvement, would enhance his candidacy.

Publications:

ResNet-50 vs VGG-19 vs Training from Scratch: A Comparative Analysis of the Segmentation and Classification of Pneumonia from Chest X-Ray Images
Authors: Agughasi Victor Ikechukwu, Murali S, Deepu R, RC Shivamurthy
Publication: Global Transitions Proceedings
Year: 2021
Citations: 5

CX-Net: An Efficient Ensemble Semantic Deep Neural Network for ROI Identification from Chest X-Ray Images for COPD Diagnosis
Authors: AV Ikechukwu, S Murali
Publication: Machine Learning: Science and Technology
Year: 2023
Citations: 21

i-Net: A Deep CNN Model for White Blood Cancer Segmentation and Classification
Authors: AV Ikechukwu, S Murali
Publication: International Journal of Advanced Technology and Engineering Exploration
Year: 2022
Citations: 19

Semi-Supervised Labelling of Chest X-Ray Images Using Unsupervised Clustering for Ground-Truth Generation
Authors: Agughasi Victor Ikechukwu, S Murali
Publication: Applied Engineering and Technology
Year: 2023
Citations: 13

Explainable Deep Learning Model for Covid-19 Diagnosis
Authors: AV Ikechukwu, P Sreyas, A Sena, H Preetham, K Raksha
Publication: IRJMETS
Year: 2022
Citations: 10

Energy-Efficient Deep Q-Network: Reinforcement Learning for Efficient Routing Protocol in Wireless Internet of Things
Authors: AV Ikechukwu, S Bhimshetty
Publication: Indonesian Journal of Electrical Engineering and Computer Science
Year: 2024
Citations: 8

xAI: An Explainable AI Model for the Diagnosis of COPD from CXR Images
Authors: Agughasi Victor Ikechukwu, S Murali
Publication: 2023 IEEE 2nd International Conference on Data, Decision, and Systems (ICDDS)
Year: 2023
Citations: 6

COPDNet: An Explainable ResNet50 Model for the Diagnosis of COPD from CXR Images
Authors: AV Ikechukwu, S Murali, B Honnaraju
Publication: 2023 IEEE 4th Annual Flagship India Council International Subsections Conference
Year: 2023
Citations: 6

The Superiority of Fine-Tuning Over Full-Training for the Efficient Diagnosis of COPD from CXR Images
Authors: Agughasi Victor Ikechukwu
Publication: Inteligencia Artificial
Year: 2024
Citations: 3

Leveraging Transfer Learning for Efficient Diagnosis of COPD Using CXR Images and Explainable AI Techniques
Authors: Agughasi Victor Ikechukwu
Publication: Inteligencia Artificial
Year: 2024
Citations: 2

Diagnosis of Chronic Kidney Disease Using Naïve Bayes Algorithm Supported by Stage Prediction Using eGFR
Authors: Agughasi Victor Ikechukwu, Nivedha K, Prakruthi NM, Fathima Farheen, Harini K
Publication: Not specified in detail
Year: 2020
Citations: 1

Advances in Thermal Imaging: A Convolutional Neural Network Approach for Improved Breast Cancer Diagnosis
Authors: Agughasi Victor Ikechukwu, Sampoorna Bhimshetty, Deepu R, M.V Mala
Publication: IEEE Xplore
Year: 2024
Citations: Not provided

Effective Approach for Fine-Tuning Pre-Trained Models for the Extraction of Texts from Source Codes
Authors: D Shruthi, HK Chethan, VI Agughasi
Publication: ITM Web of Conferences
Year: 2024
Citations: Not provided