
Encourages creativity and critical thinking.
Creates dynamic and engaging lessons.
Helps students develop critical skills.
Encourages innovative and creative solutions.
Brings real-world relevance to learning.
Dr. Veeramani Shanmugam serves as Senior Lecturer (Level C) and course coordinator in the Department of Electrical and Computer Engineering within the Faculty of Engineering and Science at Curtin University Malaysia, Sarawak Campus, a position held since 2001. His academic background includes an M.Sc. in Computer Science and a B.Sc. in Computer Science from Bharathidasan University, Trichy, India. He is currently pursuing a Ph.D. in Electrical and Computer Engineering at Curtin University and is certified as a Cisco Networking Academy Instructor for CCNA 1-4 by Cisco Systems, USA. Before joining Curtin University, Shanmugam was Head of the Department of Science and Engineering at Midas Group of Engineering Colleges in Malaysia from 1997 to 2000. He previously lectured at Bharat Engineering College in Chennai from 1996 to 1997, and at D.G. Vaishnav College and S.I.V.E.T. College in Arumbakkam, Chennai, from 1993 to 1996. As a member of the IEEE and IET, he has made significant contributions to educational development, serving on various Faculty of Engineering and Science committees including Teaching and Learning, Industrial Relations, Website Development, CRC, Graduation, and Lab Safety. He headed the Department of B.Tech and Computer Science for two years in 2006 and 2007, participated as a committee member in the CUTSE International Conference for four years, and has accumulated 15 years of teaching at Curtin Sarawak Campus plus seven years prior experience in Kuala Lumpur and Chennai, India.
Shanmugam's research specializations are distributed computer networks and cloud computing. He has produced 15 publications with 376 citations. Key publications include "Network-aware virtual machine placement using enriched butterfly optimisation algorithm in cloud computing paradigm" (2024), "Machine Learning Classification Techniques for Breast Cancer Diagnosis" (2019), "Malicious Webpage Classification Based on Web Content Features using Machine Learning and Deep Learning" (2022), "A PACS alternative for transmitting DICOM Images in a High Latency Environment" (2014, IEEE Conference on Biomedical Engineering and Sciences), "Information Technology: Impacts on Environment and Sustainable Development" (2015, Pertanika J. Sci. & Technol.), "Network Monitoring Tool" (2008, Curtin University International Conference), and "An overview of Network Security and Vulnerability analysis" (2008). Additional works cover Wi-Fi signal analysis, congestion control, image enhancement on FPGA, ocean thermal energy conversion, and supply chain information infrastructure. He has taught units in Computer Science, B.Tech, and Engineering Foundation programs, supervised over twenty final-year projects for Bachelor of Computer Systems and Networking and Computer Science courses, and utilized simulation software to enhance student learning in computer networking.
