Longsheng Jiang
Research Scientist at Clemson University
United States
Summary
👤
Senior🎓
Top SchoolLongsheng Jiang is a research scientist with nine years of interdisciplinary experience applying behavioral psychology, economics, cognitive science, and neuroscience to make robots and simulations more human-like and approachable. His PhD work in mechanical engineering produced computational models of human decision-making under risk, provably optimal human-aware multi-robot coordination algorithms, and human-like highway lane-change models that incorporate perceptual and emotional factors. Comfortable with control theory, probabilistic robotics, and machine learning, he bridges theory and practice through coding, mechanical design, and lab engineering—often creating demos and managing shared facilities to translate ideas into tangible experiments. He has a track record of publishing and validating models in simulation and of turning abstract human insights into algorithms used for human–robot interaction and traffic simulation. Colleagues know him as the pragmatic connector who turns psychological nuance into rigorous, testable engineering solutions.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Clemson UniversityBachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Taiyuan Li Gong DaxueMaster's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at University of Florida
Github Skills (5)
simulation9
hci3
python3
matlab3
exploratory-data-analysis3
Programming languages (2)
Github contributions (5)
LongshengJiang/NGSIM-tools
Apr 2020 - Jul 2021
This repository collects a set of tools for extracting, visualizing, and simulating Next Generation Simulation (NGSIM) dataset. The tools are originally developed by Stanford Intelligent Systems Laboratory.
Contributions:201 commits, 199 pushes, 1 branch in 1 year 3 months
simulation
LongshengJiang/RegretDataAnalysis
Oct 2018 - Jan 2020
This package provides a set of tools for analyzing the data measured in the RegretMeasurement-GUI.
Contributions:25 commits, 7 pushes, 1 branch in 1 year 4 months
analyzingpythonanalysisguiexploratory-data-analysis
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