Mr. Sajid Shah, Industrial IoT, Best Researcher Award
Sajid Shah at Universiti Teknologi Malaysia, Malaysia
Summary:
Mr. Sajid Shah is a self-driven and skilled professional currently pursuing a Bachelor of Science in Software Engineering at Universiti Teknologi Malaysia. With a robust background in web and application development, cybersecurity, and data analysis, he has demonstrated his expertise through various roles in esteemed organizations. His research focuses on the practical applications of IoT and AI in industry, particularly within SMEs. Sajid’s commitment to his field is evident through his active participation in internships, strategic roles, and academic research, making him a well-rounded candidate for future technological advancements and innovations.
Professional Profile:
👩🎓Education:
Bachelor of Science in Software Engineering
- Institution: Universiti Teknologi Malaysia, Johor Bahru, Malaysia
Diploma in Information Technology
- Institution: Khyber Pakhtunkhwa Board of Technical Education, Peshawar, Pakistan
- Year: 2019
Professional Experience:
Mr. Sajid Shah has accumulated diverse professional experience in various domains, including web development, cybersecurity, data analysis, and project management. Currently, he is pursuing his Bachelor’s degree in Software Engineering at Universiti Teknologi Malaysia. He has held several positions, such as Strategy Analyst at Urooj Insights Pte Ltd, Cybersecurity Design Validation & Assurance Intern at PETRONAS Digital, and Director at Elite Global Excellence Sdn. Bhd. His roles have ranged from developing strategic plans, conducting cybersecurity risk assessments, managing website content, to teaching and mentoring. Notably, he has also contributed as a manuscript reviewer for PLOS One Journal and has held internships in social media marketing and logistics.
Research Interest:
Mr. Sajid Shah’s research interests encompass Internet of Things (IoT), Industrial IoT, Data Analytics, Artificial Intelligence, and Cloud Computing. He is particularly focused on the adoption and integration of IoT technologies in small and medium enterprises (SMEs) and the application of data analytics and AI to enhance business processes and security measures.