Mr. Shiraz Kaderuppan, Newcastle University, Singapore
Shiraz is a Singaporean educator and data analytics enthusiast with extensive experience in enhancing deep neural network (DNN) architectures for feature recognition and extraction in image processing applications. With a solid background in software development and embedded systems programming, he has successfully developed desktop applications that integrate advanced image processing algorithms. Currently serving as an Associate Lecturer at Republic Polytechnic, Shiraz teaches courses in Financial Technology, Business Intelligence, and Distributed Ledger Technology while conducting professional training programs for various organizations in Microsoft Office applications. He is also an accomplished application developer, utilizing machine learning and artificial intelligence for predictive analytics and data analysis. His passion for empowering others extends to teaching Mathematics and Science at secondary and junior college levels, demonstrating his commitment to education and skill development in the IT field.
Professional Profile:
ORCID
Summary of Suitability for Best Researcher Award:
Shiraz S/O Kaderuppan stands out as a highly suitable candidate for the Best Researcher Award due to his extensive experience and impressive contributions to the field of data analytics and deep learning, particularly in image processing applications. His career reflects a strong commitment to advancing technology through research and education.
Education 🎓
- Republic Polytechnic
Diploma in Financial Technology, Business Intelligence & Distributed Ledger Technology
Mar 2023 – Present
Work Experience 💼
- Associate Lecturer
Republic Polytechnic
Mar 2023 – Present
- Conducted courses for diploma students in Financial Technology, Business Intelligence, and DLT solutioning.
- Corporate Trainer
Self-Employed
Jul 2014 – Present
- Provided training for corporate clients and private individuals in advanced Microsoft Office applications and IBM products.
- Application Developer
Self-Employed
May 2012 – Present
- Developed desktop applications using C# .NET, interfacing with microcontrollers and implementing machine learning algorithms.
- ML/AI Developer
Self-Employed
Sep 2008 – Present
- Applied machine learning and deep learning algorithms for data analysis and forecasting.
- Educator
Self-Employed
Aug 2010 – Present
- Provided secondary school and JC-level tuition for Mathematics and Science subjects.
- General Education Officer (Teacher)
Ministry of Education
Sep 2007 – Jan 2009
- Taught Biology, Chemistry, and General Science at Tampines and Bedok North Secondary Schools.
- Founder & Business Development Manager
Self-Employed
Jan 2005 – Jun 2007
- Managed retail of scientific components globally and established a network of professional purchasers.
Achievements 🌟
- Successfully conducted numerous training programs for companies and government bodies, focusing on advanced features of Microsoft Office for business intelligence and data analysis.
- Developed and implemented desktop applications that effectively integrate hardware devices with advanced image processing algorithms.
- Empowered project managers to utilize Microsoft Project for effective project planning and resource management.
Awards & Honors 🏆
- Recognized for excellence in teaching and training methodologies at Republic Polytechnic and in corporate training programs.
- Selected as a participant in the SkillsFuture for Digital Workplace Initiative for promoting digital literacy and skills enhancement in Singapore.
Publication Top Notes:
Θ-Net: A Deep Neural Network Architecture for the Resolution Enhancement of Phase-Modulated Optical Micrographs In Silico
O-Net: A Fast and Precise Deep-Learning Architecture for Computational Super-Resolved Phase-Modulated Optical Microscopy
Smart Nanoscopy: A Review of Computational Approaches to Achieve Super-Resolved Optical Microscopy