Afan Ali

Post Doctoral Researcher


Curriculum vitae


Electrical and Electronics Engineering

Istanbul Medipol University



Afan Ali

Post Doctoral Researcher


Contact

Afan Ali

Post Doctoral Researcher


Curriculum vitae


Electrical and Electronics Engineering

Istanbul Medipol University




About Me



I am a researcher and educator specializing in wireless communications, artificial intelligence (AI), and next-generation networks, currently serving as a Visiting Faculty member at Istanbul Medipol University, Türkiye. With over 15 years of experience in academia and industry, my work focuses on advancing 6G technologies, integrated sensing and communication (ISAC), digital twins, and AI-driven signal processing. My research has garnered over 400 citations, reflecting its impact in telecommunications and engineering.

Professional Experience

At Istanbul Medipol University (2024–Present), I teach and conduct research on cutting-edge wireless systems, including semantic-aware resource allocation and TinyML for IoT. Previously, as General Manager Research at R&D organization in Pakistan (2019–2024), I led national-level projects. As Assistant Professor at the Institute of Space Technology, Pakistan (2019–2020), I introduced courses on Pattern Recognition and Machine Learning, mentoring students and advising theses on 5G networks, blockchain IoT, and AI-driven signal processing.

Educational Background

I hold a Ph.D. in Information and Communication Engineering from Northwestern Polytechnical University, China (2018), where I developed deep learning models for automatic modulation classification. I earned a Master’s in Communication Engineering from the Australian National University, Australia (2011), and a Bachelor’s in Telecommunication Engineering from FAST-NU Institute of Computer and Emerging Sciences, Pakistan (2008). My academic journey has been recognized with awards, including the China Outstanding International Award (2018) and the NICTA Society Australian Award (2010).

Research and Impact

My research explores AI-enhanced wireless networks, with publications in top journals like IEEE Transactions on Green Communications and Networking and IEEE Signal Processing Letters. Notable projects include developing AI classifiers for COVID-19 detection using chest X-rays and designing high-frequency antennas for 6G applications. I have supervised postgraduate and doctoral theses, fostering innovation in areas like blockchain IoT and acoustic signal processing. 
I am passionate about bridging academia and industry, collaborating globally, and mentoring the next generation of engineers. Connect with me via email, Google Scholar, or Scopus to explore potential collaborations or learn more about my work. 
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