Neeraj Anand Sharma

About

I am an IT professional with over 9 years of experience in both the education sector and the industry. My expertise spans across tertiary teaching and software development, with a strong focus on web development, windows application development, and mobile application development. I am proficient in developing applications tailored to specific requirements. Additionally, I possess extensive knowledge and experience in creating and managing databases. One of my greatest strengths in IT infrastructure is my adaptability and willingness to embrace new challenges. I have a keen awareness of emerging technologies and trends, enabling me to quickly learn and apply new skills to tackle complex projects effectively. In terms of programming languages, I have advanced proficiency in C#, VB, and Java. I am also moderately skilled in C++, Python, and C, which provides me with a versatile toolkit to approach various development tasks. With my combined experience in teaching and software development, I have honed my abilities to effectively communicate complex concepts and guide others in their learning and professional growth. I have a passion for mentoring and supervising research projects, and providing guidance to students and colleagues to ensure successful outcomes. I am eager to utilize my skills and experience to contribute to challenging projects and collaborate with teams to achieve innovative solutions in the IT industry.

Employment

• University of Southern Queensland Doctoral Researcher
  2025 - Present
• The University of Fiji HoD & Lecturer
  2015 - 2025

Education

• The University of Fiji Master of Information Technology
  2016 - 2018
• The University of Fiji Postgraduate Diploma in Information Technology
  2015 - 2016
• The University of Fiji Bachelor of Information Technology
  2012 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (35)

• A review of sentiment analysis: tasks, applications, and deep learning techniques
  International Journal of Data Science and Analytics 2024 DOI: 10.1007/s41060-024-00594-x
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• Advancing Web Browser Forensics: Critical Evaluation of Emerging Tools and Techniques
  arXiv 2024 DOI: 10.48550/arXiv.2410.12605
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• Explainable AI Frameworks: Navigating the Present Challenges and Unveiling Innovative Applications
  Algorithms 2024 DOI: 10.3390/a17060227
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• Evading Cyber-Attacks on Hadoop Ecosystem: A Novel Machine Learning-Based Security-Centric Approach towards Big Data Cloud
  Information 2024 DOI: 10.3390/info15090558
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• Electronic and Remote Voting Systems: Solutions to Existing Problems – An Experimental Approach to Secure Voting Platforms on Endpoints
  Lecture Notes in Computer Science 2023 DOI: 10.1007/978-981-99-2233-8_13
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• Understanding Syntax Errors in C Sharp Using Game-Based Techniques at Tertiary Level
  Lecture Notes in Computer Science 2023 DOI: 10.1007/978-981-99-2233-8_31
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• Predicting Residential Property Valuation in Major Towns and Cities on Mainland Fiji
  Lecture Notes in Computer Science 2023 DOI: 10.1007/978-981-99-2233-8_4
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• Development of Bilingual Chatbot for University Related FAQs Using Natural Language Processing and Deep Learning
  Lecture Notes in Computer Science 2023 DOI: 10.1007/978-981-99-2233-8_6
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• Attendance Monitoring and Management Using Facial Recognition
  Lecture Notes in Computer Science 2023 DOI: 10.1007/978-981-99-2233-8_27
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• A Web Application-Based Infant Health Monitoring System for Parents & Medical Professionals
  Lecture Notes in Computer Science 2023 DOI: 10.1007/978-981-99-2233-8_24
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