Summary
Usman Akhtar is a Ph.D.-trained computer scientist and faculty lecturer with nine years of experience bridging academia and applied research in Big Data, cloud-centric IoT, and explainable AI. He has designed and taught undergraduate and graduate courses across multiple institutions while leading research on digital health, urban mobility, and performance-driven cloud platforms. His work combines rigorous computational complexity analysis (notably on ride-pooling and fair pricing) with practical systems engineering—building cloud-based medical platforms, MOOC content, and large-scale data persistence layers. Comfortable across Python, Java, Hadoop/Spark, and AWS, he moves fluidly between teaching, experimentation on real-world mobility datasets, and production-oriented prototypes. Based in Krakow and active internationally, he has contributed to EU- and nationally-funded projects and collaborative labs in South Korea and Europe. Colleagues know him for pairing hands-on platform development with a research agenda aimed at making intelligent systems explainable and clinically useful.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Engineering, Doctor of Philosophy (Ph.D.) Computer Engineering at Kyung Hee University
Bachelor's degree Information Technology, Bachelor's degree Information Technology at Bahauddin Zakariya University
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Air University
English, Urdu, Korean