Suleyman Uslu

Faculty at Purdue University

West Lafayette, Indiana, United States
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Summary

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Suleyman Uslu is a faculty member and researcher with nine years of experience at the intersection of Trustworthy and Causal AI, currently conducting AI security research and teaching computer engineering at Purdue. He holds a PhD in Computer Science from Purdue and has a track record of designing graduate curricula—most recently a Spatial Computing course—and advising students on explainability, fairness, and causal inference in high-stakes domains. His background spans systems and applied research, from accelerating graph-theoretic decision-support for watersheds to building national PKI components, reflecting strong engineering rigor alongside theoretical depth. Known for evaluating large language models under operational constraints, he blends hands-on programming in C++, Java, and Python with a research focus on human-AI collaboration and model trustability.
code8 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Purdue University
bookMaster of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at University of Iowa
bookMaster of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Boğaziçi University
languagesTurkish, English
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Github contributions (4)

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suleymanu/leetcode

Jul 2022 - Feb 2023

Contributions:202 commits, 330 pushes, 1 branch in 7 months
suleymanu/suleymanu

Oct 2022 - Jan 2025

Contributions:2 pushes, 1 branch in 2 years 3 months
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Suleyman Uslu - Faculty at Purdue University