Dr. Ambreen Memon | Artificial Intelligence | Best Researcher Award

Dr. Ambreen Memon | Artificial Intelligence | Best Researcher Award

Dr. Ambreen Memon | Torrens University Australia | Australia

Ambreen Memon is a dedicated academic professional with extensive experience in Networking, Artificial Intelligence, and Data Science. πŸ“‘πŸ’‘ Passionate about teaching and research, she has contributed to multiple universities and institutions globally, fostering innovation and excellence in IT education. Currently, she teaches at Torrens University and other master’s-level institutions. With a Ph.D. in Computer Science from Auckland University of Technology, her expertise spans Cyber Security, AI, Machine Learning, and Software Engineering. πŸ‘©β€πŸ«πŸ” Ambreen has mentored postgraduate students, led research initiatives, and actively participated in content development and academic curriculum design. πŸ“–πŸŽ“

Professional Profile:

ORCID

Suitability for Best Researcher Award

Dr. Ambreen Memon is a highly qualified academic and researcher with extensive experience in Networking, Artificial Intelligence, Data Science, Cybersecurity, and Software Engineering. Her contributions to teaching, research, mentorship, and academic curriculum development demonstrate her dedication to fostering innovation in IT education. Her international experience across multiple universities further underscores her impact on the field.

Education & Experience πŸŽ“πŸ“š

  • Ph.D. in Computer Science – Auckland University of Technology, NZ (2022) πŸ§ πŸ’»
    Thesis: Sustainable Next-Generation Network Design using Social-Aware & Delay-Tolerant Approaches
  • MS in Computer Science – International Islamic University, Pakistan (2012) πŸ”’πŸ”
  • BS in Computer Science – University of Sindh Jamshoro, Pakistan (2005) πŸŽ“
  • IT Lecturer – Canterbury Institute of Management, Australia (May 2024 – Oct 2024) πŸ‘©β€πŸ«πŸ”
  • Full-time IT Lecturer – Te PΕ«kenga – Western Institute of Technology, NZ (July 2021 – Apr 2024) πŸŒπŸ“‘
  • Content Reviewer – Open Polytechnic, NZ (Aug 2023 – Jan 2024) πŸ“–βœ…
  • Teaching Experience – Auckland University of Technology, NZ (Oct 2017 – July 2021) πŸ«πŸ‘©β€πŸ’»
  • IT Program Lead – AWI (April 2017 – Sept 2017) πŸ’‘πŸ”

Professional Development πŸš€πŸ“–

Ambreen Memon has consistently enhanced her expertise in Networking, AI, and Cyber Security through research, curriculum development, and teaching. πŸ’‘πŸ‘©β€πŸ« She has designed innovative learning experiences, integrating AI-driven techniques into IT education. πŸ”πŸ€– Her mentorship and supervision of postgraduate students have resulted in impactful research projects in AI, Business Intelligence, and Cyber Security. πŸ“Š She actively engages in content reviewing to ensure high-quality education materials. βœ… Her commitment to academic excellence is evident in her ability to adapt to modern teaching methodologies, including online, blended, and face-to-face learning. πŸŽ“πŸŒ

Research Focus πŸ”¬πŸ“Š

Ambreen Memon’s research interests lie in Networking, Artificial Intelligence, Data Science, and Cyber Security. πŸŒŽπŸ“‘ She specializes in sustainable next-generation network designs using social-aware and delay-tolerant approaches. πŸ—οΈπŸ“Ά Her work integrates AI-driven methodologies to enhance network security, data analysis, and intelligent systems. πŸ€–πŸ” She has contributed to advancing business intelligence, machine learning, and human-computer interaction, fostering a data-driven approach to technological innovations. πŸ“ŠπŸš€ Her research aims to bridge the gap between traditional networking systems and AI-driven automation, making IT infrastructures more resilient, adaptive, and intelligent. βš‘πŸ›‘οΈ

Awards & Honors πŸ†πŸŽ–

  • Excellence in Teaching Award – Recognized for outstanding contributions to IT education πŸ“šπŸ…
  • Best Research Paper Award – Published impactful research on AI & Networking πŸ“πŸ†
  • Academic Leadership Recognition – Awarded for curriculum development & student mentorship πŸŽ“πŸŒŸ
  • Technology Innovation Grant – Secured funding for AI-driven network security research πŸ’‘πŸ’°
  • Outstanding Faculty Award – Honored for dedication to student success and academic excellence πŸ‘©β€πŸ«πŸŽ–

Publication Top Notes:

πŸ“Œ Analysis and Implementation of Human Mobility Behavior Using Similarity Analysis Based on Co-Occurrence MatrixΒ  πŸ“ŠπŸšΆβ€β™‚οΈ Cited by 3
πŸ“Œ A New Energy Efficient Big Data Dissemination Approach Using the Opportunistic D2D CommunicationsΒ  πŸ”‹πŸ“‘
πŸ“Œ CatchMe If You Can: Enable Sustainable Communications Using Internet of Movable Things Β πŸŒπŸ“Ά