Dr. Usha Nandhini A

Technical Skills :

Programming languages: C, C++, Java
Operating System : Windows Packages.
Markup Language : HTML5
UI Design : JSF, Primefaces, Photoshop
Scripting Language: JavaScript, ASP. NET
IDE : NetBeans, Eclipse, Visual Studio
Animation : Flash
Database : Microsoft SQL Server, MySQL, Oracle8

Subjects Skills :

C, C++, Java, Data Structures, Software Engineering, Data Mining, Digital logic Fundamental and Microprocessor, Multimedia, Web Technology, Computer Graphics, Data Base Management Systems, Computer Architecture and Organization, Operating System, HTML, Office Packages, Python, Machine Learning, Cloud Computing, Software Engineering, Software Testing, and Software Project Management.

• Assistant Professor, Department of Computer Science and Applications, CSH, SRMIST, Vadapalani Campus (June 2024 – till date).
• Assistant Professor, PG Department of Computer Science, Sree Muthukumaraswamy College (Aug 2020 to April 2023).
• Assistant Professor, Department of Computer Science, Guru Nanak College (July 2017 to May 2020).
• Assistant Professor, Department of Computer Science, Sir Theagaraya College (Aug 2014 to July 2017).

• Received Best Paper Award on Second International Conference on Advancements in Computing Technologies ICACT-2020, Stella Maris College (Autonomous).

Journal Publications: (International followed by National) :

• "Random Forest and Genetic Algorithm united with hyperparameter for Diabetes Prediction by using WBSMOTE, Wrapper Approach." Published in the International Journal of System of Systems Engineering (IJSSE). (Scopus Indexed)
• “Diabetic Analysis on Big Data and Machine Learning-A Literature Review." Published in Parishodh Journal, 2020. (UGC Care Journal)
• "A New Watermarking Approach for Relational Data." Published in the International Journal of Advanced Research in Management, Architecture, Technology and Engineering, 2016.

Conference Presentation / Publication :

• The paper “Enhancing Data Security and Privacy in Edge Computing for Healthcare” was presented at the 2nd International Conference on Cybernetic Nexus (ICCN – 2026), organized by the PG Department of Computer Science, Dwaraka Doss Goverdhan Doss Vaishnav College (Autonomous), affiliated to the University of Madras, Chennai, in February 2026. The paper appears in the conference proceedings (ISBN: 978-81-994049-5-3).
• “Performance Evaluation of Deep Learning Models for MRI Image Enhancement and Tumor Classification” was presented at the 6th International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2025), organized by T. John Institute of Technology in association with IEEE, held from 15–17 December 2025 at Bengaluru, India.
• “Hybrid CNN Framework for MRI Brain Image Reconstruction and Analysis” was presented at the 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN 2025), organized by the Department of Information Technology at Hindusthan Institute of Technology, held on 24–26 November 2025 at Coimbatore, India.
• “Evaluation of Deep Learning Architectures for Image Reconstruction and Classification using Hybrid and Lightweight CNN Models” was presented at the 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN 2025), organized by the Department of Information Technology at Hindusthan Institute of Technology, held on 24–26 November 2025 at Coimbatore, India.
• Presented a paper titled “Emerging Trends and Data-driven Innovations in the Digital Era” at the International Conference on Legacy – Driven Research in Mathematics and Data Science (LegacyCon 2025) organized by the Departments of Mathematics and Computer Science with Data Science at Patrician College of Arts and Science, affiliated to University of Madras, held on 9 September 2025.
• “Diabetes Prediction using Convolutional Neural Networks and Long Short Term Memory Techniques.” By Dr. Usha Nandhini A and Dr. Murali Anand. Published in Communication in Computer and Information Science. Springer, 2025. (Scopus Indexed)
• “Diabetes Prediction using Enhanced and Optimized DRL-CNN Approaches." Presented at the 21st International Learning and Technology Conference on Reality and Science Fiction in Education. IEEE, 2024. (Scopus Indexed)
• "Diabetes Prediction using Random Forest Classifier with Different Wrapper Methods." Presented at the 2022 International Conference on Edge Computing and Applications (ICECAA). IEEE, 2022. (Scopus Indexed)
• "DRL-CNN Technique for Diabetes Prediction." Presented at the 2023 International Conference on Advancements in Smart Computing and Information Security (ASCIS). Springer, 2023. (Scopus Indexed)
• "Analysis of Diabetic Mellitus Using Predictive Algorithm–A Literature Review." Published in the Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India, 2021.
• The paper "Prediction of Diabetes using Random Forests Classifier with Various Feature Selection Techniques" was presented at the 3rd International Conference on Recent Advances in Computing and Communication (ICRACC’22) held at SSS Jain, Chennai, on June 29th, 2022.
• The research titled "Predictive Analysis for Diabetics on Big Data" was presented at the 7th International Conference on Information, System and Convergence Applications, held in Ho Chi Minh, Vietnam, from February 12th to 15th, 2020.
• The study "Prediction Model and Awareness of Diabetes on Big Data with Machine Learning" was presented at the Second International Conference on Advancements in Computing Technologies (ICACT-2020), hosted by Stella Maris College (Autonomous), Department of Computer Science, on January 10th & 11th, 2020.
• "Secure Attribute Transmission of Watermarked Relational Data." Presented at the National Conference in Innovations in Computer Technology and its Applications [NCICTA’18], 2018.

Books Published :

• The book titled “Software Project Management” was authored and published in July 2022, with the ISBN number 978-93-5577-228-2.

Workshops / Seminars / FDPs / STTP (Conducted / Attended)

• Artificial Intelligence and Optimisation Techniques using MATLAB
  Organized by National Institute of Technical Teachers Training and Research, Chandigarh
  Date: 07/10/2024 to 11/10/2024
• Outcome Based Education and Accreditation Process
  Organized by National Institute of Technical Teachers Training and Research, Chandigarh
  Date: 25/11/2024 to 29/11/2024
• Cyber Suraksha
  Organized by Tata Consultancy Services
  Date: 27/07/2024
• Software Testing
  Organized by NPTEL – All India Council for Technical Education
  Date: 21/03/2025
• Cloud Computing
  Organized by NPTEL – All India Council for Technical Education
  Date: 03/05/2025
• Data Analytics using Tableau
  Organized by SRM Institute of Science and Technology (FSH, VDP Campus)
  Date: 28/01/2025
• Cyber Security Awareness for Handling Social Media Vulnerabilities
  Organized by National Institute of Technical Teachers Training and Research, Chennai
  Date: 09/12/2024 to 13/12/2024
• FIIP on Angular JS-based Web Development
  Organized by Kumaran Systems, Chennai
  Date: 05/06/2025 to 14/06/2025
• Pathways to Publications: Tools and Techniques for Indexed Journals
  Organized by MCC
  Date: 09/02/2026 to 14/02/2026

Online Courses Completed

• Python for Data Science
• Software Testing
• Cloud Computing
• Making Learning Engaging through Interactive Games