Sohaib Kiani is an Assistant Professor and researcher with eight years of experience applying machine learning and deep learning to real-world problems from child-placement analytics to IoT security and 3D reconstruction. He holds a PhD in Computer Science from the University of Kansas and combines strong software engineering skills in C++ and Python with a track record of publishing peer-reviewed work and building robust ML workflows and defenses against adversarial and out-of-distribution inputs. His industry experience includes an ML internship at Meta focused on Ads Signal Privacy and earlier signal-processing and embedded work that informs his systems-aware approach to research. Colleagues know him for tackling bias, fairness, interpretability and missing-label evaluation challenges, and for translating academic ideas into practical, evaluable algorithms and automated ML frameworks.
8 years of coding experience
15 years of employment as a software developer
University of Kansas
Master of Science (MSc), Electrical Engineering and Information Technology, Master of Science (MSc), Electrical Engineering and Information Technology at RWTH Aachen University
Bachelor of Science (BS), Electrical, Electronics and Communications Engineering, Bachelor of Science (BS), Electrical, Electronics and Communications Engineering at National University of Computer and Emerging Sciences
Contributions:46 commits, 48 pushes, 1 branch in 1 month
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Sohaib Kiani - Assistant Professor at Beloit College