Khandaker Ahmed is an Assistant Professor and PhD candidate in Computer Science with 11 years of software and academic experience, specializing in federated deep learning, computer vision, and anomaly detection for resource-constrained IoT devices. He developed and evaluated federated models for activity recognition, anomaly detection, and image processing during multi-year research appointments at Florida International University and related labs. Now faculty at Dakota State University and serving as a guest editor and reviewer for major publishers, he bridges rigorous research with peer-reviewed dissemination. Known for pursuing privacy-preserving, decentralized learning that leverages local data on edge devices, he combines hands-on engineering with theoretical inquiry. Beyond publications, his background spans industry software engineering and lecturing, giving him a practical perspective on deploying research in real-world systems.
11 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Florida International University - College of Engineering & Computing
Bachelor of Science in Software Engineering Software Engineering, Bachelor of Science in Software Engineering Software Engineering at University of Dhaka
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Florida International University
Contributions:2 PRs, 5 pushes, 1 branch in 2 years 4 months
web-applicationapplication-development
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