Summary
Khaled Saifuddin is an Assistant Professor and 5th-year PhD candidate in Computer Science with nine years of experience applying data mining and graph learning to real-world problems. He specializes in hypergraph representation learning, developing dynamic, semantics-aware Hypergraph Transformer Networks that filter noisy nodes and hyperedges to better adapt structures for specific applications. His work bridges theory and practice across machine learning, NLP, bioinformatics, and big-data engineering, with industry experience as an AI researcher at Kroll and academic stints from Oklahoma State to Northeastern’s Barabási Lab. Skilled in Python, PySpark, C/C++, Java, and distributed data tools (Hadoop ecosystem), he combines algorithmic depth with systems know-how to scale graph models. Khaled is especially interested in using hypergraph models to uncover complex biological relationships for drug discovery and bioinformatics. He is open to full-time and internship opportunities across the USA in ML, data science, software engineering, and related fields.
9 years of coding experience
4 years of employment as a software developer
B.Sc., B.Sc. at Khulna University of Engineering and Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Georgia State University
Bengali, English