Dr Shapla Khanam

Dr. Shapla Khanam is a renowned academician and researcher celebrated for her substantial contributions to Cybersecurity and AI. Dr. Khanam is currently a Senior Lecturer at the Faculty of Computing and Digital Technology at HELP University in Malaysia. She is also working as a Research Associate at the School of IT, Washington University of Science and Technology (WUST) in Virginia, USA. Previously, she held the position of Assistant Professor at two different universities in Bangladesh. Additionally, she has worked as a Research Assistant at the University of Malaya (UM), and an Application Engineer at Atlassian in Malaysia. 

Dr. Khanam earned her Ph.D. in Security of the Internet of Things using Deep Learning and her M.Eng. in Telecommunications Engineering from UM. She obtained her B.Sc. in Computer Science from the International Islamic University Malaysia (IIUM). Throughout her career, Dr. Khanam has actively contributed to various roles within professional organizations, notably serving as Vice-Chair of IEEE-UM and as Chair of the IEEE Women in Engineering (WIE) affinity group at UM. Her research interests span several areas, including Intrusion Detection, Network Security, Machine Learning, Deep Learning, IoT, WSNs, routing protocols, 5G, and frequency allocation. Dr. Khanam has authored numerous articles published in reputable international Q1-rated journals and has presented various research ideas at 
conferences.

Area of Expertise 

• Cybersecurity
• Artificial Intelligence (AI)
• Machine Learning and Deep Learning
• Data Science