Below is a selection of my recent and past projects that demonstrate the practical application of my expertise in AI, Machine Learning, Image Processing, and Transportation Engineering across diverse sectors.
Developed a machine learning-based system for pavement distresses.
Utilized digital image processing and supervised learning algorithms
· Significantly reduced manual inspection time and increased accuracy in pavement condition assessments
(2020–Present)
Designed and implemented predictive models to analyze historical stock data and market trends.
· Created strategies for algorithmic trading using time-series forecasting and sentiment analysis
· Focused on risk minimization and portfolio optimization through dynamic model tuning
· Tools used: MATLAB, Python, scikit-learn, TensorFlow
(2024-2025)
Developed machine learning models to estimate carbon dioxide emissions based on farming inputs, practices, and regional factors.
· Supported sustainable agriculture by identifying high-impact factors
· Aimed at assisting policymakers with data-driven decision-making
(2022–2023)
Built predictive models to identify potential delays in logistics networks.
· Helped logistics companies proactively manage risk and improve delivery timelines
(2022–2023)
Analyzed large-scale auction datasets to predict vehicles likely to be rejected (kicked) after sale.
· Enhanced dealer strategy by minimizing post-sale rejections
· Employed feature engineering and model validation techniques
(2021–2022)
Designed machine learning systems to forecast game results and betting odds.
· Included player statistics, injury reports, and historical performance
· Helped users optimize recreational betting strategies with data insights
(2015)
Applied image-based deformation analysis to assess structural behavior under load.
· Improved the accuracy of bridge health evaluation without physical sensors
· Supported ongoing structural monitoring efforts in Anhui Province
(2014)
Implemented non-destructive testing methods for evaluating rail track integrity in high-speed rail systems.
· Contributed to improved safety and predictive maintenance of critical infrastructure