Summary
Venktesh Pandey is an Assistant Professor and transportation researcher with nine years of experience bridging academic research and applied systems in traffic management, dynamic pricing, and ridesharing optimization. He completed advanced graduate work at UT Austin (M.S./Ph.D. focus) and has built simulation and optimization tools using Java, Python, R, MATLAB and traffic platforms like PTV‑VISSIM, TRANSIMS and MATSIM. His background includes collaborative industry research at IBM and algorithmic work at IISc developing offline taxi supply models, reflecting strength in scalable modeling for multi-operator mobility systems. Known for combining control-theoretic coursework (optimal control, MDPs, network optimization) with hands-on coding, he translates stochastic estimation and machine learning concepts into deployable transportation solutions. Based in Greensboro, NC, he maintains an academic web portfolio and a track record of turning complex transportation problems into practical planning and simulation tools.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Transportation and Highway Engineering, Doctor of Philosophy (Ph.D.), Transportation and Highway Engineering at The University of Texas at Austin
Indian Institute of Technology Bombay
Rani Laxmi Bai Memorial Senior Secondary School Sector-14 Indira Nagar Lucknow