Mana is an accomplished lecturer in Information Technology with over seven years of experience in teaching computer programming languages, optimisation algorithms, data analysis, and business analysis concepts at both undergraduate and postgraduate levels. She is dedicated to enhancing the student learning experience through engaging lectures and hands-on workshops.
Mana is also an active researcher, publishing in prestigious journals and presenting at international conferences, contributing significantly to the fields of software engineering and data science. Her research interests encompass machine learning, trust prediction in social networks, IoT networks, and clustering methods for data analysis. She has a robust publication record, with numerous articles focusing on algorithm efficiency, vulnerability analysis, and optimisation techniques. Her expertise includes curriculum development, project management, and fostering strong industry connections to incorporate real-world case studies into the classroom.
Professional memberships
- International Institute of Business Analysis (IIBA)
- Institute of Electrical and Electronics Engineers (IEEE)
Awards and fellowships
- Second ran in PhD in Software Engineering
- First rank in Master of Software Engineering
Professional social media
Identifiers
Research areas
- data science
- business data analytics
- complex networks
- IoT networks
- optimization agorithms
Teaching areas
- INF701 Business Transformation through Technology and Artificial Intelligence
- DIG201 Creating and Leveraging Digital Products
- DIG301 Artificial Intelligence: Implications for Organisations in the Digital Age
- SEC603 Introduction to Device & Network Security
- SEC601 Introduction to Cybersecurity
- ICT120 Computer Networks
- ICT115 Introduction to Systems Design